We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
ELOF1 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
59.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
116.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
98.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
97.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
94.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
94.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
89.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
89.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
89.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
88.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
87.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
87.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
86.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
84.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
84.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
84.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
82.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
81.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
79.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
79.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
78.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
78.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
78.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
78.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
77.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
76.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
75.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
75.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
74.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
73.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
73.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
73.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
73.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
72.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
72.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
72.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
72.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
72.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
72.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
71.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
71.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
71.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
70.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
70.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
69.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
69.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
69.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
69.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
69.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
69.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
69.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
69.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
68.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
68.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
68.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
68.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
68.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
67.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
67.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
67.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
67.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
67.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
67.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
67.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
67.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
67.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
66.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
66.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
66.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
66.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
66.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
66.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
65.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
65.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
65.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
65.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
65.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
65.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
65.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
65.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
64.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
64.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
64.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
63.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
63.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
63.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
63.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
63.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
62.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
62.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
62.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
62.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
62.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
61.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
61.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
61.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
61.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
61.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
60.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
60.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
60.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
60.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
60.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
60.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
59.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
59.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
59.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
59.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
59.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
59.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
59.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
59.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
59.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
59.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
59.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
59.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
59.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
59.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
58.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
58.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
58.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
58.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
58.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
58.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
58.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
58.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
58.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
58.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
58.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
57.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
57.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
57.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
57.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
57.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
57.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
57.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
57.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
57.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
56.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
56.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
56.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
56.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
56.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
56.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
56.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
56.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
56.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
56.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
56.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
56.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
55.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
55.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
55.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
55.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
55.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
55.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
54.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
54.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
54.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
54.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
54.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
54.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
54.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
54.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
54.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
54.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
53.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
53.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
53.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
53.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
53.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
52.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
52.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
52.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
52.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
52.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
52.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
51.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
51.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
51.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
51.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
51.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
51.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
51.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
51.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
51.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
50.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
50.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
50.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
50.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
50.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
50.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
49.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
49.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
49.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
49.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
49.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
49.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
48.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
48.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
48.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
48.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
48.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
48.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
48.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
48.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
48.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
48.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
48.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
48.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
47.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
47.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
47.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
47.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
47.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
47.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
47.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
47.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
46.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
46.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
46.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
46.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
46.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
46.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
46.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
45.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
45.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
45.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
45.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
44.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
44.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
44.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
44.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
44.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
44.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
43.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
42.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
42.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
40.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
40.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
40.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
38.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
38.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
36.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
36.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
35.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
34.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
32.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
32.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
30.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
29.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
27.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
27.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
27.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 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.
ELOF1 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
47.6
Number of samples
486
Samples
Sample
Description
TPM
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
90.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
90.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
89.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
80.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
79.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
75.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
73.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
72.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
71.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
71.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
69.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
68.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
68.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
67.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
67.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
67.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
67.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
66.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
66.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
66.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
66.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
65.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
65.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
65.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
65.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
65.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
65.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
64.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
63.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
63.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
63.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
63.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
63.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
63.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
62.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
62.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
62.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
61.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
61.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
61.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
61.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
61.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
61.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
61.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
61.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
60.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
60.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
60.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
60.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
60.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
59.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
59.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
59.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
59.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
59.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
59.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
59.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
59.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
58.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
58.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
58.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
58.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
58.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
58.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
58.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
57.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
57.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
57.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
57.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
57.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
57.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
57.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
57.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
57.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
57.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
56.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
56.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
56.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
56.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
56.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
56.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
56.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
56.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
56.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
56.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
56.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
55.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
55.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
55.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
55.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
55.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
55.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
55.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
55.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
55.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
55.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
55.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
55.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
54.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
54.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
54.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
54.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
54.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
54.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
54.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
54.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
54.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
54.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
54.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
54.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
53.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
53.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
53.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
53.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
53.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
53.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
53.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
53.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
53.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
53.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
53.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
53.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
53.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
53.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
52.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
52.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
52.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
52.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
52.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
52.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
52.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
52.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
52.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
52.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
52.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
52.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
52.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
52.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
52.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
52.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
52.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
52.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
51.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
51.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
51.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
51.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
51.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
51.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
51.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
51.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
51.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
51.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
51.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
51.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
50.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
50.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
50.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
50.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
50.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
50.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
50.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
50.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
50.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
50.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
50.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
50.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
50.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
50.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
50.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
50.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
50.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
49.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
49.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
49.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
49.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
49.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
49.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
49.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
49.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
49.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
49.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
49.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
49.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
49.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
49.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
49.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
49.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
49.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
49.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
49.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
49.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
49.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
49.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
49.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
49.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
49.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
48.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
48.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
48.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
48.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
48.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
48.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
48.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
48.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
48.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
48.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
48.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
48.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
48.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
48.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
48.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
48.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
48.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
48.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
48.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
48.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
47.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
47.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
47.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
47.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
47.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
47.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
47.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
47.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
47.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
47.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
47.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
47.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
47.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
47.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
46.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
46.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
46.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
46.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
46.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
46.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
46.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
46.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
46.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
46.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
46.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
46.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
46.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
46.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
46.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
46.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
46.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
46.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
46.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
46.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
46.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
46.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
46.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
46.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
46.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
46.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
46.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
46.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
45.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
45.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
45.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
45.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
45.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
45.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
45.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
45.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
45.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
45.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
45.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
45.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
45.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
45.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
45.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
45.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
45.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
45.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
45.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
45.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
45.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
45.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
45.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
45.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
45.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
44.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
44.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
44.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
44.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
44.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
44.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
44.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
44.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
44.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
44.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
44.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
44.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
44.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
44.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
44.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
44.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
44.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
44.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
44.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
44.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
44.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
44.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
44.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
44.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
43.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
43.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
43.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
43.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
43.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
43.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
43.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
43.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
43.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
43.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
43.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
43.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
43.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
43.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
43.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
43.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
43.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
43.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
43.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
42.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
42.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
42.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
42.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
42.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
42.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
42.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
42.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
42.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
42.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
42.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
42.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
42.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
42.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
42.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
42.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
42.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
42.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
42.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
42.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
42.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
42.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
41.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
41.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
41.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
41.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
41.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
41.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
41.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
41.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
41.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
41.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
41.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
41.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
41.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
41.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
41.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
41.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
40.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
40.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
40.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
40.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
40.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
40.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
40.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
40.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
40.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
40.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
40.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
40.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
40.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
40.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
40.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
40.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
40.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
40.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
40.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
39.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
39.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
39.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
39.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
39.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
39.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
39.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
39.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
39.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
39.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
39.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
39.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
39.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
39.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
39.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
39.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
39.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
39.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
38.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
38.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
38.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
38.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
38.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
38.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
38.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
38.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
38.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
38.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
38.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
38.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
38.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
38.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
38.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
38.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
38.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
37.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
37.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
37.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
37.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
37.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
37.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
37.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
37.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
37.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
37.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
37.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
37.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
37.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
37.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
37.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
37.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
37.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
36.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
36.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
36.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
36.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
36.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
36.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
36.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
36.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
36.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
36.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
35.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
35.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
35.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
35.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
35.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
35.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
35.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
35.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
35.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
35.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
35.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
35.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
34.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
34.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
34.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
34.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
34.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
34.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
33.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
33.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
33.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
33.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
33.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
33.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
32.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
32.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
32.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
32.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
31.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
31.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
31.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
31.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
31.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
31.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
29.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
28.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
28.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
23.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.8
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.
ELOF1 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
55.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
118.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
100.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
95.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
82.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
77.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
76.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
75.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
74.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
72.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
71.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
71.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
69.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
68.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
67.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
65.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
64.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
64.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
64.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
63.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
63.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
63.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
62.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
62.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
61.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
61.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
60.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
60.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
60.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
60.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
59.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
59.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
58.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
58.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
58.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
57.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
57.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
57.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
57.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
57.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
56.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
56.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
55.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
55.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
55.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
55.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
54.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
54.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
54.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
54.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
53.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
51.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
51.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
50.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
50.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
49.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
49.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
48.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
48.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
47.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
46.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
46.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
46.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
45.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
45.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
45.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
45.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
45.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
44.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
44.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
44.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
44.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
44.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
44.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
44.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
43.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
43.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
42.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
41.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
41.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
39.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
38.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
38.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
38.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
37.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
37.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
36.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
36.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 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.
ELOF1 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
43.7
Number of samples
207
Samples
Sample
Description
TPM
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
84.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
68.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
68.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
67.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
64.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
64.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
64.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
64.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
62.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
60.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
58.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
57.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
57.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
57.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
56.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
56.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
55.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
55.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
55.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
54.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
54.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
54.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
54.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
54.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
53.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
53.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
53.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
53.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
53.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
52.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
52.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
52.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
51.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
51.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
51.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
51.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
50.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
50.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
50.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
49.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
49.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
49.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
49.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
49.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
49.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
49.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
49.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
49.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
49.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
48.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
48.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
48.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
48.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
48.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
48.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
47.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
47.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
47.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
47.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
47.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
47.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
46.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
46.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
46.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
46.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
46.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
46.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
46.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
46.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
45.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
45.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
45.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
45.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
45.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
45.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
45.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
45.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
45.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
45.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
45.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
44.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
44.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
44.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
44.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
44.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
44.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
44.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
44.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
43.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
43.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
43.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
43.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
43.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
43.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
43.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
43.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
43.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
43.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
43.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
43.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
43.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
42.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
42.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
42.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
42.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
42.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
42.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
42.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
42.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
42.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
42.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
42.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
42.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
42.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
42.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
41.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
41.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
41.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
41.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
41.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
41.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
41.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
41.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
41.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
41.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
41.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
40.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
40.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
40.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
40.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
40.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
39.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
39.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
39.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
39.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
39.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
39.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
39.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
39.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
39.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
39.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
39.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
38.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
38.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
38.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
38.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
38.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
38.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
38.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
38.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
38.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
38.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
38.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
38.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
38.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
38.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
38.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
37.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
37.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
37.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
37.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
37.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
37.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
37.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
37.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
37.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
37.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
37.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
36.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
36.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
36.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
36.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
36.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
36.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
35.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
35.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
35.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
35.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
35.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
35.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
34.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
34.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
34.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
34.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
34.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
33.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
33.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
33.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
33.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
32.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
32.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
32.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
31.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
31.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
31.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
31.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
30.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
30.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
29.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
29.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
29.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
28.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
28.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
28.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
28.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
28.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
27.9
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
1.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.8
8cc7e656-0152-4359-8566-0581c3
Tumor
0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.6
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.6
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.7
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.7
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.7
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.7
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.7
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.8
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.8
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.8
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.8
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.8
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.9
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.9
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.9
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-1.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-1.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-1.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-1.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-1.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.8
963fc8db-f412-4427-a198-23f660_D2
Normal
-1.8
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
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.