Selecting Breast Cancer Patients for Chemotherapy: The Opening of the UK OPTIMA Trial

Research output: Contribution to journalArticlepeer-review

Authors

  • J. Bartlett
  • P. Canney
  • A. Campbell
  • D. Cameron
  • J. Donovan
  • J. Dunn
  • H. Earl
  • A. Francis
  • P. Hall
  • V. Harmer
  • H. Higgins
  • L. Hillier
  • C. Hulme
  • L. Hughes-Davies
  • A. Makris
  • A. Morgan
  • C. McCabe
  • S. Pinder
  • C. Poole
  • N. Stallard
  • R. Stein

Colleges, School and Institutes

External organisations

  • Ontario Institute for Cancer Research
  • Beatson West Scotland Cancer Centre
  • University of Warwick
  • University of Edinburgh
  • University of Bristol
  • Cambridge University Hospitals NHS Foundation Trust
  • Queen Elizabeth Hospital Birmingham
  • University of Leeds
  • St Mary's Hospital London
  • Mount Vernon Hospital
  • Independent Cancer Patients Voice
  • Department of Emergency Medicine Research
  • King’s College London
  • University Hospitals Coventry and Warwickshire NHS Trust
  • University College London

Abstract

The mortality from breast cancer has improved steadily over the past two decades, in part because of the increased use of more effective adjuvant therapies. Thousands of women are routinely treated with intensive chemotherapy, which can be unpleasant, is expensive and is occasionally hazardous. Oncologists have long known that some of these women may not need treatment, either because they have a low risk of relapse or because they have tumour biology that makes them less sensitive to chemotherapy and more suitable for early adjuvant endocrine therapy. There is an urgent need to improve patient selection so that chemotherapy is restricted to those patients who will benefit from it. Here we review the emerging technologies that are available for improving patient selection for chemotherapy. We describe the OPTIMA trial, which has just opened to recruitment in the UK, is the latest addition to trials in this area, and is the first to focus on the relative cost-effectiveness of alternate predictive assays.

Details

Original languageEnglish
Pages (from-to)109-116
Number of pages8
JournalClinical Oncology
Volume25
Issue number2
Publication statusPublished - 1 Feb 2013

Keywords

  • Adjuvant, Breast, Chemotherapy, Predictive

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