Molecular Classification and Future Therapeutic Challenges of Triple-negative Breast Cancer
| Autor: | Paraskevi Farmaki, Athanasios Syllaios, Alexandros Patsouras, Afroditi Nonni, Dimitrios Dimitroulis, Efstathios Antoniou, Alkiviadis Kostakis, Konstantinos Kontzoglou, Anna Garmpi, Constantinos G Zografos, Evangelos Diamantis, Dimitrios Schizas, Konstantinos Nikolettos, Nikos Nikolettos, Nikolaos Garmpis, Errika Voutyritsa, Christos Damaskos |
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| Rok vydání: | 2020 |
| Předmět: |
Pharmacology
Cancer Research MicroRNA sequencing Triple Negative Breast Neoplasms Review Article Computational biology Biology medicine.disease General Biochemistry Genetics and Molecular Biology Subtyping Gene Expression Regulation Neoplastic 03 medical and health sciences genomic DNA 0302 clinical medicine Breast cancer 030220 oncology & carcinogenesis DNA methylation medicine Humans RNA Messenger Neoplasm Recurrence Local DNA microarray Transcriptome Exome sequencing Triple-negative breast cancer |
| Zdroj: | In Vivo |
| ISSN: | 1791-7549 0258-851X |
| DOI: | 10.21873/invivo.11965 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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