Radiological and Pathological Predictors of Response to Neoadjuvant Chemotherapy in Breast Cancer: A Brief Literature Review

被引:13
|
作者
Parekh, Tejal [1 ]
Dodwell, David [1 ]
Sharma, Nisha [1 ]
Shaaban, Abeer M. [1 ]
机构
[1] Leeds Teaching Hosp NHS Trust, St James Univ Hosp, Leeds, W Yorkshire, England
关键词
Gene expression; Hormone receptors; Magnetic resonance imaging; Neoadjuvant chemotherapy; Pathological complete response; Predictive marker; TOPOISOMERASE-II-ALPHA; POSITRON-EMISSION-TOMOGRAPHY; SYSTEMIC THERAPY; TUMOR RESPONSE; PREOPERATIVE CHEMOTHERAPY; CLINICAL EXAMINATION; RESIDUAL DISEASE; PROGNOSTIC VALUE; RECEPTOR STATUS; GRADING SYSTEM;
D O I
10.1159/000433582
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Background: Early clinical response to neoadjuvant chemotherapy (NACT) in breast cancer correlates with pathological response at surgery. A tailored approach using biomarkers to predict response to NACT has become a research priority. Predictors of response can be divided into pathological and radiological biomarkers. Advances in gene expression profiling and diffusion-weighted MRI techniques are used to predict tumour response, and combinations thereof are the future of predicting response to NACT in early-stage breast cancer. Methods: We searched Medline, CINAHL and Embase databases for studies on NACT. Key words used were NACT, breast cancer, pathological* complete response, primary chemotherapy, radiological*, predictor*, gene expression and biomarkers limited to the English language. Pathological markers such as tumour subtypes, topoisomerase II alpha expression, Ki67, apoptosis-related markers and gene expression profiling were included. Results: From 119 articles, 42 studies were reviewed; the majority of studies identified used pathological clinical response as an end point to NACT, whilst others used complete clinical response. Despite extensive studies, results regarding long-term survival following NACT and potential predictors are inconclusive. Conclusion: Future development of a predictive model combining key pathological and radiological biomarkers could provide personalised treatment regimens that improve pathological complete response rates and longer-term outcomes. (C) 2015 S. Karger AG, Basel
引用
收藏
页码:124 / 132
页数:9
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