Chica-Parrado María Rosario, Godoy-Ortiz Ana, Jiménez Begoña, Ribelles Nuria, Barragan Isabel, Alba Emilio
Institute of Biomedical Research in Malaga (IBIMA), Regional and Virgen de la Victoria University Hospitals Campus de Teatinos s/n, 29010 Málaga, Spain.
Cancer Molecular Biology Group, Medical Research Center, University of Málaga (UMA), C/Marqués de Beccaría n°3, 29010 Málaga, Spain.
Cancers (Basel). 2020 Jul 22;12(8):2012. doi: 10.3390/cancers12082012.
Neoadjuvant Chemotherapy (NAC) in Breast Cancer (BC) has proved useful for the reduction in tumor burden prior to surgery, allowing for a more extensive breast preservation and the eradication of subjacent micrometastases. However, the impact on prognosis is highly dependent on the establishment of Pathological Complete Response (pCR), in particular for Triple Negative (TN) and Hormonal Receptor negative/Human Epidermal growth factor Receptor 2 positive (HR-/HER2+) subtypes. Several pCR predictors, such as PAM50, Integrative Cluster (IntClust), mutations in PI3KCA, or the Trastuzumab Risk model (TRAR), are useful molecular tools for estimating response to treatment and are prognostic. Major evolution events during BC NAC that feature the Residual Disease (RD) are the loss of HR and HER2, which are prognostic of bad outcome, and stemness and immune depletion-related gene expression aberrations. This dynamic nature of the determinants of response to BC NAC, together with the extensive heterogeneity of BC, raises the need to discern the individual and subtype-specific determinants of resistance. Moreover, refining the current approaches for a comprehensive monitoring of tumor evolution during treatment, RD, and eventual recurrences is essential for identifying new actionable alterations and the integral best management of the disease.
乳腺癌新辅助化疗(NAC)已被证明有助于在手术前减轻肿瘤负荷,从而实现更广泛的保乳并消除潜在的微转移。然而,其对预后的影响高度依赖于病理完全缓解(pCR)的实现,特别是对于三阴性(TN)以及激素受体阴性/人表皮生长因子受体2阳性(HR-/HER2+)亚型。一些pCR预测指标,如PAM50、整合聚类(IntClust)、PI3KCA突变或曲妥珠单抗风险模型(TRAR),是用于评估治疗反应和预后的有用分子工具。乳腺癌NAC期间以残留疾病(RD)为特征的主要演变事件包括HR和HER2的丢失,这预示着不良预后,以及干性和免疫耗竭相关基因表达异常。乳腺癌NAC反应决定因素的这种动态性质,连同乳腺癌广泛的异质性,增加了辨别个体和亚型特异性耐药决定因素的必要性。此外,完善当前方法以全面监测治疗期间的肿瘤演变、RD及最终复发,对于识别新的可操作改变和实现疾病的整体最佳管理至关重要。