Kate M. Moore
Therapeutic targeting of integrin ?v?6 in breast cancer
Moore, Kate M.; Thomas, Gareth J.; Duffy, Stephen W.; Warwick, Jane; Gabe, Rhian; Chou, Patrick; Ellis, Ian O.; Green, Andrew R.; Haider, Syed; Brouilette, Kellie; Saha, Antonio; Vallath, Sabari; Bowen, Rebecca; Chelala, Claude; Eccles, Diana; Tapper, William J.; Thompson, Alastair M.; Quinlan, Phillip; Jordan, Lee; Gillett, Cheryl; Brentnall, Adam; Violette, Shelia; Weinreb, Paul H.; Kendrew, Jane; Barry, Simon T.; Hart, Ian R.; Louise Jones, J.; Marshall, John F.
Authors
Gareth J. Thomas
Stephen W. Duffy
Jane Warwick
Rhian Gabe
Patrick Chou
Ian O. Ellis
ANDREW GREEN ANDREW.GREEN@NOTTINGHAM.AC.UK
Associate Professor
Syed Haider
Kellie Brouilette
Antonio Saha
Sabari Vallath
Rebecca Bowen
Claude Chelala
Diana Eccles
William J. Tapper
Alastair M. Thompson
Phillip Quinlan
Lee Jordan
Cheryl Gillett
Adam Brentnall
Shelia Violette
Paul H. Weinreb
Jane Kendrew
Simon T. Barry
Ian R. Hart
J. Louise Jones
John F. Marshall
Abstract
Background
Integrin αvβ6 promotes migration, invasion, and survival of cancer cells; however, the relevance and role of αvβ6 has yet to be elucidated in breast cancer.
Methods
Protein expression of integrin subunit beta6 (β6) was measured in breast cancers by immunohistochemistry (n > 2000) and ITGB6 mRNA expression measured in the Molecular Taxonomy of Breast Cancer International Consortium dataset. Overall survival was assessed using Kaplan Meier curves, and bioinformatics statistical analyses were performed (Cox proportional hazards model, Wald test, and Chi-square test of association). Using antibody (264RAD) blockade and siRNA knockdown of β6 in breast cell lines, the role of αvβ6 in Human Epidermal Growth Factor Receptor 2 (HER2) biology (expression, proliferation, invasion, growth in vivo) was assessed by flow cytometry, MTT, Transwell invasion, proximity ligation assay, and xenografts (n ≥ 3), respectively. A student’s t-test was used for two variables; three-plus variables used one-way analysis of variance with Bonferroni’s Multiple Comparison Test. Xenograft growth was analyzed using linear mixed model analysis, followed by Wald testing and survival, analyzed using the Log-Rank test. All statistical tests were two sided.
Results
High expression of either the mRNA or protein for the integrin subunit β6 was associated with very poor survival (HR = 1.60, 95% CI = 1.19 to 2.15, P = .002) and increased metastases to distant sites. Co-expression of β6 and HER2 was associated with worse prognosis (HR = 1.97, 95% CI = 1.16 to 3.35, P = .01). Monotherapy with 264RAD or trastuzumab slowed growth of MCF-7/HER2-18 and BT-474 xenografts similarly (P < .001), but combining 264RAD with trastuzumab effectively stopped tumor growth, even in trastuzumab-resistant MCF-7/HER2-18 xenografts.
Conclusions
Targeting αvβ6 with 264RAD alone or in combination with trastuzumab may provide a novel therapy for treating high-risk and trastuzumab-resistant breast cancer patients.
Journal Article Type | Article |
---|---|
Acceptance Date | May 13, 2014 |
Online Publication Date | Jun 28, 2014 |
Publication Date | Jun 30, 2014 |
Deposit Date | Apr 24, 2018 |
Publicly Available Date | Nov 6, 2018 |
Print ISSN | 0027-8874 |
Electronic ISSN | 1460-2105 |
Publisher | Oxford University Press |
Peer Reviewed | Peer Reviewed |
Volume | 106 |
Issue | 8 |
Article Number | dju169 |
Pages | 1-14 |
DOI | https://doi.org/10.1093/jnci/dju169 |
Public URL | https://nottingham-repository.worktribe.com/output/1118112 |
Publisher URL | https://academic.oup.com/jnci/article/106/8/dju169/911122 |
PMID | 24974129 |
Files
Therapeutic targeting of integrin αvβ6 in breast cancer
(24.5 Mb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by-nc/3.0/
You might also like
A SARS-CoV-2 minimum data standard to support national serology reporting
(2024)
Journal Article
Lessons learned from the COVID-19 pandemic about sample access for research in the UK
(2022)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search