6533b7d1fe1ef96bd125c1c6

RESEARCH PRODUCT

"Omics" of HER2-positive breast cancer.

Francesco Paolo CammarataValentina BravatàLuigi MinafraGiusi Irma Forte

subject

ProteomicsReceptor ErbB-2Breast NeoplasmsBiologyBioinformaticsProteomicsAntibodies Monoclonal HumanizedBiochemistryEpigenesis GeneticHER2/Neu PositiveGermline mutationBreast cancerbreast cancerTrastuzumabGeneticsmedicineBiomarkers TumorHumansOMICSEpigeneticsskin and connective tissue diseasesneoplasmsMolecular BiologyGenomicsGenes erbB-2TrastuzumabOmicsmedicine.diseaseTumor progressionMolecular MedicineHER2/neu-positiveFemaleTranscriptomeBiotechnologymedicine.drug

description

HER2/neu amplification/overexpression is the only somatic mutation widely considered to be a marker of disease outcome and response to treatment in breast cancer. Pathologists have made large efforts to achieve accuracy in characterizing HER2/neu status. The introduction of transtuzumab contributed to development of additional measures to identify sensitive and resistant subclasses of HER2/neu-positive tumors. In this article, we describe the latest advances in HER2/neu status diagnostic assessment and the most relevant research emerging from ‘‘Omics’’ (genomics, epigenetics, transcriptomics, and proteomics) studies on HER2/neu-positive breast cancer. A large quantity of biomarkers from different studies highlighted HER2/neu-positive specific proliferation, cell cycle arrest, and apoptosis mechanisms, as well as immunological and metabolic behavior. Major driver genes of tumor progression have had a candidate status (GRB7, MYC, CCND1, EGFR, etc.), even though the main role for HER2/neu is largely recognized. Nonetheless, existing omics data and HER2/neupositive molecular profiles seem to suggest that few proteogenomic alterations in HER2, EGFR, and PI3K networks could significantly affect the effectiveness of transtuzumab. The systematic search of molecular alterations in and across these pathways can help to select the most appropriate drug for a given patient based on in-depth understanding of complexity in tumor biology.

10.1089/omi.2012.0099https://pubmed.ncbi.nlm.nih.gov/23421906