Metastatic Breast Cancer: Therapeutic Options According to Molecular Subtypes and Prior Adjuvant Therapy

Author:

Guarneri Valentina1,Conte PierFranco1

Affiliation:

1. Department of Oncology, Hematology and Respiratory Diseases, University of Modena and Reggio Emilia, Modena University Hospital, Modena, Italy

Abstract

Abstract In spite of advances in treatment strategies, about 25%–40% of patients with breast cancer still eventually develop metastatic disease that is largely incurable. Treatment goals vary from symptom control to lengthening survival, mainly on the basis of patient age and performance status, tumor biology, site and extent of disease, and prior therapies. In particular, breast cancer molecular characterization allows for the identification of breast cancer subtypes with distinct biological features, a distinct clinical course, and distinct treatment sensitivity. Endocrine manipulation is the cornerstone of therapy in hormone receptor–positive tumors; anti–human epidermal growth factor receptor (HER)-2 agents are essential in the management of HER-2+ tumors; and chemotherapy is the only available option so far for the triple-negative subtype. In each of these subtypes, the more efficacious agents have been progressively incorporated into adjuvant treatment. As a consequence, the choice of the optimal therapeutic strategy for patients with metastatic disease is largely influenced by prior exposure to adjuvant therapies. This review contextualizes the data from clinical trials into different clinical scenarios of metastatic disease, taking into account the molecular subtype and prior adjuvant treatments.

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Oncology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3