Biomarkers of everolimus efficacy in breast cancer therapy

被引:2
|
作者
Voutsadakis, Ioannis A. [1 ,2 ]
机构
[1] Sault Area Hosp, Algoma Dist Canc Program, 750 Great Northern Rd, Sault Ste Marie, ON P6B 0A8, Canada
[2] Northern Ontario Sch Med, Sect Internal Med, Div Clin Sci, Sudbury, ON, Canada
关键词
Rapalogs; predictive biomarkers; next generation sequencing; PI3; k; metabolism; MTOR INHIBITOR EVEROLIMUS; CELL-FREE DNA; PLUS EXEMESTANE; MOLECULAR ALTERATIONS; AROMATASE INHIBITORS; SIGNALING PATHWAYS; DOUBLE-BLIND; SINGLE-ARM; GROWTH; MUTATIONS;
D O I
10.1177/10781552211073673
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Objective Everolimus is an inhibitor of serine/ threonine kinase mTOR. The drug is approved for the treatment of metastatic ER positive, HER2 negative breast cancers and benefits a subset of patients with these breast cancers in combination with hormonal therapies. Despite extensive efforts, no additional predictive biomarkers to guide therapeutic decisions for everolimus have been introduced in clinical practice. Data sources This paper discusses predictive biomarkers for everolimus efficacy in breast cancer. A search of the medline and web of science databases was performed using the words "everolimus" and "biomarkers". References of retrieved articles were manually scanned for additional relevant articles. Data Summary Everolimus benefits a subset of patients with metastatic ER positive, HER2 negative breast cancers in combination with hormonal therapies. Despite extensive efforts no additional predictive biomarkers to guide therapeutic decisions for everolimus therapy have been confirmed for use in clinical practice. However, promising biomarker leads for everolimus efficacy in breast cancer have been suggested and include expression of proteins in the mTOR pathway in ER positive, HER2 negative breast cancers. In HER2 positive cancers PIK3CA mutations, and PTEN expression loss are prognostic. Other clinical predictive biomarkers with more limited data include characteristics derived from whole genome sequencing, subsets of circulating leukocytes and changes in Standardized Uptake Values (SUV) of Positron Emission Tomography (PET) scans. Conclusions Putative predictive biomarkers for everolimus efficacy in breast cancer patients, both genomic and clinical, deserve further study and could lead to a better selection of responsive patients.
引用
收藏
页码:945 / 959
页数:15
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