M. Davey, M. Davey, Vinitha Richard, W. Wyns, O. Soliman, N. Miller, A. Lowery, M. Kerin
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Methods: A search was performed of the PUBMED, SCOPUS, Web of Science, and EMBASE in accordance to Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines. Results: Overall, 15 studies including 1335 patients were included. These studies highlighted an expression profile of 73 miRNA and their ability to predict tumour response to neoadjuvant therapies was correlated. Results from 11 studies were in relation to circulatory miRNA and 4 studies included data from tumour tissue. Overall, upregulation and downregulation of 41 miRNA and 29 miRNA, respectively, predicted differential response to neoadjuvant therapy. Expression levels of 3 miRNA (miR-21, miR-210, and miR-376c-3p) were inconclusive in predicting therapeutic response, while ‘aberrant’ expression of circulating miR-199a predicted pathological complete response (pCR) to NAC. 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引用次数: 6
摘要
目的:人表皮生长因子受体-2 (HER2/neu)信号通路的增加导致靶向治疗药物的发展,这些药物与化疗联合使用,以改善HER2过表达(HER2+)乳腺癌的预后。对于新辅助治疗,反应率可能是不可预测的——需要新的生物标志物来预测有效性,以提高这些患者的肿瘤预后,而microRNA可能证明是有效的。我们的目的是鉴定microRNA (miRNA)表达模式,预测早期HER2+乳腺癌患者对新辅助化疗(NAC)和/或抗HER2靶向治疗的反应。方法:根据系统评价和meta分析的首选报告项目(PRISMA)指南,对PUBMED、SCOPUS、Web of Science和EMBASE进行检索。结果:共纳入15项研究,1335例患者。这些研究强调了73 miRNA的表达谱及其预测肿瘤对新辅助治疗反应的能力是相关的。11项研究的结果与循环miRNA有关,4项研究的数据来自肿瘤组织。总的来说,41 miRNA和29 miRNA的上调和下调分别预测了新辅助治疗的差异反应。3种miRNA (miR-21、miR-210和miR-376c-3p)的表达水平在预测治疗反应方面尚无定论,而循环miR-199a的“异常”表达可预测NAC的病理完全反应(pCR)。结论:本系统综述概述了与NAC和/或抗her2治疗反应相关的许多miRNA的表达模式。未来评估HER2+乳腺癌对新辅助治疗主要反应的预测性生物标志物的转化研究可能会考虑这些结果。
Overview of MicroRNA Expression in Predicting Response to Neoadjuvant Therapies in Human Epidermal Growth Receptor-2 Enriched Breast Cancer – A Systematic Review
Purpose: Increased appreciation of the human epidermal growth factor receptor-2 (HER2/neu) signalling pathway has led to the development of targeted therapeutic agents used in conjunction with chemotherapy to improve outcomes for HER2 overexpressing (HER2+) breast cancer. For neoadjuvant therapy, response rates can be unpredictable – novel biomarkers predicting effectiveness are required to enhance oncological outcomes for these patients, and microRNA may prove effective. Our objective was to identify microRNA (miRNA) expression patterns predictive of response to neoadjuvant chemotherapy (NAC) and/or anti-HER2 targeted therapies in patients being treated for early-stage HER2+ breast cancer. Methods: A search was performed of the PUBMED, SCOPUS, Web of Science, and EMBASE in accordance to Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines. Results: Overall, 15 studies including 1335 patients were included. These studies highlighted an expression profile of 73 miRNA and their ability to predict tumour response to neoadjuvant therapies was correlated. Results from 11 studies were in relation to circulatory miRNA and 4 studies included data from tumour tissue. Overall, upregulation and downregulation of 41 miRNA and 29 miRNA, respectively, predicted differential response to neoadjuvant therapy. Expression levels of 3 miRNA (miR-21, miR-210, and miR-376c-3p) were inconclusive in predicting therapeutic response, while ‘aberrant’ expression of circulating miR-199a predicted pathological complete response (pCR) to NAC. Conclusions: This systematic review outlines expression patterns of a number of miRNA which correlate with response to NAC and/or anti-HER2 therapies. Future translational research evaluating predictive biomarkers of primary response to neoadjuvant therapy in HER2+ breast cancer may consider these results.
期刊介绍:
Breast Cancer: Basic and Clinical Research is an international, open access, peer-reviewed, journal which considers manuscripts on all areas of breast cancer research and treatment. We welcome original research, short notes, case studies and review articles related to breast cancer-related research. Specific areas of interest include, but are not limited to, breast cancer sub types, pathobiology, metastasis, genetics and epigenetics, mammary gland biology, breast cancer models, prevention, detection, therapy and clinical interventions, and epidemiology and population genetics.