| Literature DB >> 32606140 |
Nikolaos Garmpis1,2, Christos Damaskos3, Anna Garmpi4, Konstantinos Nikolettos2, Dimitrios Dimitroulis1, Evangelos Diamantis5, Paraskevi Farmaki6, Alexandros Patsouras7, Errika Voutyritsa2, Athanasios Syllaios8, Constantinos G Zografos8, Efstathios A Antoniou1,2, Nikos Nikolettos9, Alkiviadis Kostakis10, Konstantinos Kontzoglou1,2, Dimitrios Schizas8, Afroditi Nonni11.
Abstract
Triple-negative breast cancer (TNBC) is an extremely diverse group of breast tumors, with aggressive clinical behavior, higher rates of distant recurrence and worse overall survival compared to other types of breast cancers. The genetic, transcriptional histological and clinical heterogeneity of this disease has been an obstacle in the progression of targeted therapeutic approaches, as a ubiquitous TNBC marker has not yet been discerned. In terms of that, current studies focus on the classification of TNBC tumors in subgroups with similar characteristics in order to develop a treatment specialized for each group of patients. To date, a series of gene expression profiles analysis in order to identify the different molecular subtypes have been used. Complementary DNA microarrays, PAM50 assays, DNA and RNA sequencing as well as immunohistochemical analysis are some of the methods utilized to classify TNBC tumors. In 2012, the Cancer Genome Atlas (TCGA) Research Network conducted a major analysis of breast cancers using six different platforms, the genomic DNA copy number arrays, DNA methylation, exome sequencing, messenger RNA arrays, microRNA sequencing and reverse-phase protein arrays, in order to assort the tumors in homogenous subgroups. Since then, an increasing number of breast cancer data sets are being examined in an attempt to distinguish the classification with biological interpretation and clinical implementation. In this review, the progress in molecular subtyping of TNBC is discussed, providing a brief insight in novel TNBC biomarkers and therapeutic strategies. CopyrightEntities:
Keywords: Triple-negative breast cancer; classification; molecular; review; targeted; therapies
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Year: 2020 PMID: 32606140 PMCID: PMC7439891 DOI: 10.21873/invivo.11965
Source DB: PubMed Journal: In Vivo ISSN: 0258-851X Impact factor: 2.155