| Literature DB >> 28054957 |
Angela Toss1, Marta Venturelli2, Chiara Peterle3, Federico Piacentini4, Stefano Cascinu5, Laura Cortesi6.
Abstract
In recent years, the study of genomic alterations and protein expression involved in the pathways of breast cancer carcinogenesis has provided an increasing number of targets for drugs development in the setting of metastatic breast cancer (i.e., trastuzumab, everolimus, palbociclib, etc.) significantly improving the prognosis of this disease. These drugs target specific molecular abnormalities that confer a survival advantage to cancer cells. On these bases, emerging evidence from clinical trials provided increasing proof that the genetic landscape of any tumor may dictate its sensitivity or resistance profile to specific agents and some studies have already showed that tumors treated with therapies matched with their molecular alterations obtain higher objective response rates and longer survival. Predictive molecular biomarkers may optimize the selection of effective therapies, thus reducing treatment costs and side effects. This review offers an overview of the main molecular pathways involved in breast carcinogenesis, the targeted therapies developed to inhibit these pathways, the principal mechanisms of resistance and, finally, the molecular biomarkers that, to date, are demonstrated in clinical trials to predict response/resistance to targeted treatments in metastatic breast cancer.Entities:
Keywords: breast cancer; molecular biomarker; targeted therapy; treatment resistance
Mesh:
Substances:
Year: 2017 PMID: 28054957 PMCID: PMC5297719 DOI: 10.3390/ijms18010085
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Molecular biomarkers predictive of response to targeted treatment in clinical trials.
| Molecular Biomarkers | Method of Analysis | Targeted Therapy | References |
|---|---|---|---|
| ESR1 mutations | ctDNA | sensitivity to FULVESTRANT | Fribbens 2016; [ |
| ctDNA | resistance to EXEMESTANE | Fribbens 2016; [ | |
| Y537S mutation in ctDNA | resistance to EVEROLIMUS | Chandarlapaty 2016; [ | |
| PIK3CA mutations | Tumor tissue | sensitivity to EVEROLIMUS | André 2016; [ |
| ctDNA | sensitivity to BUPARLISIB | Baselga 2015; [ | |
| Tumor tissue | sensitivity to TASELISIB | Dickler 2016; [ | |
| Tumor tissue | resistance to LAPATINIB | Baselga 2016; [ | |
| AKT1 mutations | Tumor tissue | sensitivity to EVEROLIMUS | André 2016; [ |
| mTORC1 activation (high p4EBP1, low 4EBP1, low liver kinase B1, low pAkt, and low PI3K) | Tumor tissue | sensitivity to EVEROLIMUS | Treilleux 2015; [ |
| FGF pathway amplified | Tumor tissue | sensitivity to DOVITINIB | André 2013; [ |
| HER2 amplification | Tumor tissue | sensitivity to TRASTUZUMAB | Dawood 2010; [ |
| Serum samples and tumor tissue | sensitivity to PERTUZUMAB | Baselga 2014; [ | |
| Tumor tissue | sensitivity to LAPATINIB | Baselga 2016; [ | |
| Tumor tissue | sensitivity to TDM1 | Baselga 2016; [ | |
| EGFR down expression | Tumor tissue | sensitivity to TDM1 | Baselga 2016; [ |
| HER3 down expression | Tumor tissue | sensitivity to TDM1 | Baselga 2016; [ |
| VEGF-A and VEGFR-2 high concentration | Serum samples | sensitivity to BEVACIZUMAB | Miles 2013; [ |
| Low PTEN concentration | Tumor tissue | sensitivity to EVEROLIMUS | Jerusalem 2013; [ |
| sensitivity to TDM1 | Baselga 2016; [ | ||
| High pS6 concentration | Tumor tissue | sensitivity to EVEROLIMUS | Jerusalem 2013; [ |
| Hyperacetylation of lysines | Serum samples | sensitivity to ENTINOSTAT | Yardley 2013; [ |