A Combined Ulbp2 and Sema5a Expression Signature as a Prognostic and Predictive Biomarker for Colon Cancer
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Date
2017
Authors
Dayanc, Baris Emre
Journal Title
Journal ISSN
Volume Title
Publisher
Ivyspring Int Publ
Open Access Color
GOLD
Green Open Access
Yes
OpenAIRE Downloads
31
OpenAIRE Views
8
Publicly Funded
No
Abstract
Background: Prognostic biomarkers for cancer have the power to change the course of disease if they add value beyond known prognostic factors, if they can help shape treatment protocols, and if they are reliable. The aim of this study was to identify such biomarkers for colon cancer and to understand the molecular mechanisms leading to prognostic stratifications based on these biomarkers. Methods and Findings: We used an in house R based script (SSAT) for the in silico discovery of stage-independent prognostic biomarkers using two cohorts, GSE17536 and GSE17537, that include 177 and 55 colon cancer patients, respectively. This identified 2 genes, ULBP2 and SEMA5A, which when used jointly, could distinguish patients with distinct prognosis. We validated our findings using a third cohort of 48 patients ex vivo. We find that in all cohorts, a combined ULBP2/SEMA5A classification (SU-GIB) can stratify distinct prognostic sub-groups with hazard ratios that range from 2.4 to 4.5 (p <= 0.01) when overall-or cancer-specific survival is used as an end-measure, independent of confounding prognostic parameters. In addition, our preliminary analyses suggest SU-GIB is comparable to Oncotype DX colon (R) in predicting recurrence in two different cohorts (HR: 1.5-2; p <= 0.02). SU-GIB has potential as a companion diagnostic for several drugs including the PI3K/mTOR inhibitor BEZ235, which are suitable for the treatment of patients within the bad prognosis group. We show that tumors from patients with worse prognosis have low EGFR autophosphorylation rates, but high caspase 7 activity, and show upregulation of pro-inflammatory cytokines that relate to a relatively mesenchymal phenotype. Conclusions: We describe two novel genes that can be used to prognosticate colon cancer and suggest approaches by which such tumors can be treated. We also describe molecular characteristics of tumors stratified by the SU-GIB signature.
Description
Keywords
Colon Cancer, Prognosis, Biomarker, Soluble Ul16-Binding Protein-2, Growth-Factor Receptor, Gene-Expression, Semaphorin 5a, Drug-Sensitivity, Nkg2d Receptor, Tumor-Cells, Stage-Ii, Recurrence, Identification, Male, Unclassified drug, caspase 7, Cancer specific survival, protein sema5a, Dactolisib, protein derivative, Overall survival, Enzyme activity, Caspase 7, adult, biological marker, Prognosis, Autophosphorylation, unclassified drug, enzyme activity, Colon cancer, aged, female, Protein derivative, Female, autophosphorylation, Human, Research Paper, Adult, overall survival, cancer specific survival, 610, Major clinical study, cancer prognosis, Article, male, Upregulation, dactolisib, human, Human tissue, protein expression, Cancer recurrence, Aged, Cancer prognosis, Epidermal growth factor receptor, Biomarker, major clinical study, Protein sema5a, human tissue, Biological marker, cancer recurrence, protein ULBP2, Protein ULBP2, Microsatellite instability, Protein expression, microsatellite instability, epidermal growth factor receptor, upregulation
Fields of Science
0301 basic medicine, 0303 health sciences, 03 medical and health sciences
Citation
WoS Q
Q2
Scopus Q
Q1

OpenCitations Citation Count
24
Source
Journal of Cancer
Volume
8
Issue
7
Start Page
1113
End Page
1122
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Citations
CrossRef : 1
Scopus : 25
PubMed : 20
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Mendeley Readers : 22
SCOPUS™ Citations
25
checked on Mar 21, 2026
Web of Science™ Citations
26
checked on Mar 21, 2026
Page Views
11
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Downloads
12
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OpenAlex FWCI
2.2359
Sustainable Development Goals
3
GOOD HEALTH AND WELL-BEING


