主页 文献库文献详情
PMID: 26452383 已发表 · ppublish 英语

A Comprehensive Outline of Trastuzumab Resistance Biomarkers in HER2 Overexpressing Breast Cancer.

Current cancer drug targets ·第 15 卷 ·第 8 期 ·2016-07-19

Menyhárt Otília, Santarpia Libero, Győrffy Balázs

摘要

The introduction of trastuzumab for anti-HER2 therapy dramatically changed the clinical outcome for HER2 (ERBB2, neu) positive breast cancer patients. Today, patients eligible for trastuzumab are selected using HER2 expression/amplification status of the primary tumor. However, acquired and inherent resistance to anti-HER2 therapy in these patients poses a significant challenge, and better patient stratification will be needed to improve clinical response. Here, we provide a wide-ranging overview of potential biomarkers capable of stratifying patients regarding their response to trastuzumab. These include HER2 amplification, impaired access to the binding site (p95HER2, Δ16HER-2, MUC4), augmented signaling through other ERBB family receptors (HER1, HER3, HER4) and their ligands, activation of HER2 targets by alternate heterodimers (EphA2, IGF-1R, GDF15, MUC1*), signaling triggered by downstream members (PIK3CA, PTEN, SRC, mTOR), altered expression of cell cycle and apoptotic regulators (CDKs, p27(kip1), Bcl-2), hormone receptor status, resistance to antibody-dependent cellular cytotoxicity (FcγR), and altered miRNA expression signatures. Multigenic molecular profile analyses have revealed further genes not directly associated with classical oncogenic pathways. Although numerous biomarkers have shown promise in pre-clinical studies, many have delivered controversial results when evaluated in clinical trials. One of the keys for targeting ERBB2 will be to consider the entire ERBB family and downstream associated pathways responsible for the malignant transformation. The heterogeneity of the disease is likely to represent a significant obstacle to accurately predicting the course of resistance. The future most probably involves the incorporation of multiple biomarkers into a unified predictor enabling selection of patients for superior targeted drug administration.

文献信息
期刊
Current cancer drug targets
期刊简称
Curr Cancer Drug Targets
发表日期
2016-07-19
收录日期
2015-10-10
更新日期
2015-10-10
语言
英语
国家/地区
Netherlands
NLM ID
101094211
分析服务
分析服务

联系地址

山东省济南市章丘区文博路2号

齐鲁师范学院 genelibs生信实验室

山东省济南市高新区舜华路750号

大学科技园北区F座4单元2楼

电话: 0531-88819269

微信公众号

关注微信订阅号,实时查看信息,关注医学生物学动态。


商务邮箱

E-mail: product@genelibs.com