Nottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, Nottingham City Hospital, University of Nottingham, Hucknall Road, Nottingham, NG5 1PB, UK.
Cellular Pathology, Nottingham University Hospitals NHS Trust, Hucknall Road, Nottingham, NG5 1PB, UK.
Breast Cancer Res Treat. 2019 Jan;173(1):93-102. doi: 10.1007/s10549-018-4978-5. Epub 2018 Oct 10.
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.
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.
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 < 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.
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.
鉴定有效的、可靠的生物标志物,以预测内分泌治疗的疗效,这对雌激素受体阳性(ER+)乳腺癌(BC)的治疗管理至关重要。KIF18A 是细胞周期的关键调节因子,在许多人类癌症中过度表达,包括 BC。在这项研究中,我们研究了 KIF18A 作为生物标志物预测早期 ER+BC 患者内分泌治疗获益的作用。
使用 METABRIC 数据集评估 KIF18A 的基因组水平表达,以探索其在 ER+BC 患者(n=1506)中的预后和预测价值。使用 KM-Plot 数据集(n=2061)验证 KIF18A mRNA 的预测意义。使用免疫组织化学法在具有长期随访的大型早期 ER+BC 注释系列(n=1592)中评估 KIF18A 蛋白表达。
在未接受辅助治疗或辅助内分泌治疗的 ER+BC 患者中,KIF18A 的高 mRNA 和蛋白表达与无复发生存(RFS)、远处无转移生存(DMFS)和 BC 特异性生存(均 P<0.05)较短相关。多变量分析显示,高 KIF18A 表达是接受辅助内分泌治疗的患者 RFS(P=0.027)和 DMFS(P=0.028)不良的独立预后生物标志物。
KIF18A 似乎是 ER+BC 的候选生物标志物,其临床结局较差。高 KIF18A 表达具有预测意义,可以预测 ER+BC 患者内分泌治疗获益不佳。因此,在治疗前对 ER+BC 患者进行 KIF18A 测量可以指导临床医生对内分泌治疗获益的决策。