@article { , title = {Kinesin family member-18A (KIF18A) is a predictive biomarker of poor benefit from endocrine therapy in early ER+?breast cancer}, abstract = {PURPOSE: Identification of effective and reliable biomarkers that could be used to predict the efficacy of endocrine therapy is of crucial importance to the management of oestrogen receptor positive (ER+) breast cancer (BC). KIF18A, a key regulator of cell cycle, is overexpressed in many human cancers, including BC. In this study, we investigated the role of KIF18A as a biomarker to predict the benefit from endocrine treatment in early ER?+?BC patients. METHODS: KIF18A expression was assessed at the genomic level using the METABRIC dataset to explore its prognostic and predictive value in ER?+?BC patients (n?=?1506). Predictive significance of KIF18A mRNA was validated using KM-Plot datasets (n?=?2061). KIF18A protein expression was assessed using immunohistochemistry in a large annotated series of early-stage ER?+?BC (n?=?1592) with long-term follow-up. RESULTS: High mRNA and protein expression of KIF18A were associated with short recurrence-free survival (RFS), distant-metastasis free survival (DMFS) and BC specific survival (all P? less than 0.05) in ER?+?BC in patients who received no adjuvant treatment or adjuvant endocrine therapy. In multivariate analysis, high KIF18A expression was an independent prognostic biomarker for poor RFS (P?=?0.027) and DMFS (P?=?0.028) in patients treated with adjuvant endocrine therapy. Conclusion: KIF18A appears to be a candidate biomarker of a subgroup of ER?+?BC characterised by poor clinical outcome. High KIF18A expression has prognostic significance to predict poor benefit from endocrine treatment for patients with ER?+?BC. Therefore, measurement of KIF18A on ER?+?BC patients prior to treatment could guide clinician decision on benefit from endocrine therapy.}, doi = {10.1007/s10549-018-4978-5}, eissn = {1573-7217}, issn = {0167-6806}, journal = {Breast Cancer Research and Treatment}, note = {12 months embargo. OL 15.10.2018}, publicationstatus = {Published}, publisher = {BMC}, url = {https://nottingham-repository.worktribe.com/output/1162675}, keyword = {Nottingham Breast Cancer Research Centre, Cancer Research, Oncology}, year = {2018}, author = {Alfarsi, Lutfi H. and Elansari, Rokaya and Toss, Michael S. and Diez-Rodriguez, Maria and Nolan, Christopher C. and Ellis, Ian O. and Rakha, Emad A. and Green, Andrew R.} }