title: A decision impact, decision conflict and economic assessment of routine Oncotype DX testing of 146 women with node-negative or pNImi, ER-positive breast cancer in the U.K.
abstract: BACKGROUND
  Tumour gene expression analysis is useful in predicting adjuvant chemotherapy benefit in early breast cancer patients. This study aims to examine the implications of routine Oncotype DX testing in the U.K.
  
  
  METHODS
  Women with oestrogen receptor positive (ER+), pNO or pN1mi breast cancer were assessed for adjuvant chemotherapy and subsequently offered Oncotype DX testing, with changes in chemotherapy decisions recorded. A subset of patients completed questionnaires about their uncertainties regarding chemotherapy decisions pre- and post-testing. All patients were asked to complete a diary of medical interactions over the next 6 months, from which economic data were extracted to model the cost-effectiveness of testing.
  
  
  RESULTS
  Oncotype DX testing resulted in changes in chemotherapy decisions in 38 of 142 (26.8%) women, with 26 of 57 (45.6%) spared chemotherapy and 12 of 85 (14.1%) requiring chemotherapy when not initially recommended (9.9% reduction overall). Decision conflict analysis showed that Oncotype DX testing increased patients' confidence in treatment decision making. Economic analysis showed that routine Oncotype DX testing costs £6232 per quality-adjusted life year gained.
  
  
  CONCLUSIONS
  Oncotype DX decreased chemotherapy use and increased confidence in treatment decision making in patients with ER+ early-stage breast cancer. Based on these findings, Oncotype DX is cost-effective in the UK setting.
authors.affiliation: Department of Breast Surgery, Prince Philip Hospital, Llanelli, Wales SA14 8QF, UK. simon_holt@mac.com
authors.forename: S
authors.initials: S
authors.lastname: Holt
authors.forename: G
authors.initials: G
authors.lastname: Bertelli
authors.forename: I
authors.initials: I
authors.lastname: Humphreys
authors.forename: W
authors.initials: W
authors.lastname: Valentine
authors.forename: S
authors.initials: S
authors.lastname: Durrani
authors.forename: D
authors.initials: D
authors.lastname: Pudney
authors.forename: M
authors.initials: M
authors.lastname: Rolles
authors.forename: M
authors.initials: M
authors.lastname: Moe
authors.forename: S
authors.initials: S
authors.lastname: Khawaja
authors.forename: Y
authors.initials: Y
authors.lastname: Sharaiha
authors.forename: E
authors.initials: E
authors.lastname: Brinkworth
authors.forename: S
authors.initials: S
authors.lastname: Whelan
authors.forename: S
authors.initials: S
authors.lastname: Jones
authors.forename: H
authors.initials: H
authors.lastname: Bennett
authors.forename: C J
authors.initials: CJ
authors.lastname: Phillips
mesh_terms: D000328:Adult; D000368:Aged; D001943:Breast Neoplasms / Q000188:drug therapy* / Q000191:economics / Q000235:genetics* / Q000378:metabolism; D003362:Cost-Benefit Analysis; D003657:Decision Making; D003661:Decision Support Techniques; D005260:Female; D020869:Gene Expression Profiling / Q000191:economics / Q000379:methods; D006801:Humans; D008207:Lymphatic Metastasis; D008390:Markov Chains; D008875:Middle Aged; D018803:Models, Economic; D011960:Receptors, Estrogen / Q000096:biosynthesis; D006113:United Kingdom
chemical_list: D011960:Receptors, Estrogen