1. MicroRNA-based molecular classification of non-BRCA1/2 hereditary breast tumours
- Author
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Miljana Tanic, Rodriguez-Pinilla Sm, Ana Osorio, Ivan Marquez-Rodas, Eduardo Andres, Javier Benitez, Fernandez, Beatriz Martinez-Delgado, and Cebollero-Presmanes M
- Subjects
Adult ,Cancer Research ,Candidate gene ,Tumour heterogeneity ,Genes, BRCA2 ,Genes, BRCA1 ,Breast Neoplasms ,Biology ,Bioinformatics ,Metastasis ,Breast cancer ,microRNA ,medicine ,Cluster Analysis ,Humans ,skin and connective tissue diseases ,Aged ,Regulation of gene expression ,Aged, 80 and over ,microRNA profiling ,Genetics and Genomics ,hereditary breast cancer ,Middle Aged ,medicine.disease ,BRCA1 ,Microarray Analysis ,BRCA2 ,Gene expression profiling ,Gene Expression Regulation, Neoplastic ,MicroRNAs ,Oncology ,Cancer research ,Cancer biomarkers ,Female ,Transcriptome ,Algorithms - Abstract
Breast cancer continues to be the most common cancer among women and second leading cause of cancer deaths. Only about 5–10% of all breast cancer cases arise in families with various affected members throughout several generations that follow a pattern of autosomal dominant inheritance, with earlier age of onset, and/or presenting bilateral/multiple tumours and are considered to be hereditary breast cancer cases. Germline mutations in two high-susceptibility genes, BRCA1 and BRCA2, can account for only ∼20–25% of hereditary breast cancer cases (Bradbury and Olopade, 2007), and along with other rare intermediate-risk genes identified through re-sequencing studies of candidate genes involved in DNA damage repair pathway and common low-susceptibility alleles explain less than a half of hereditary breast cancer cases. More than 50% of breast cancer cases arising in high-risk families that fulfil the criteria for a hereditary cancer syndrome are unaccounted for, and are designated as non-BRCA1/2 or BRCAX tumours (Rahman and Stratton, 1998; Palacios et al, 2008; Stratton and Rahman, 2008; Mavaddat et al, 2010). These tumours represent not only a big ‘black box' in terms of our understanding of the underlying biology of these tumours but also represent a major problem for genetic counselling and management of these patients and their families. Due to difficulties in acquisition of fresh frozen tissue material, there have been only a handful of studies aimed at characterising molecular signature of these tumours by gene expression profiling (Hedenfalk et al, 2003). Have demonstrated in a small series of 19 hereditary tumours that BRCAX tumours have heterogeneous mRNA expression profiles and could be sub-classified in at least two subgroups with different gene expression signature. Previous results from our group (Fernandez-Ramires et al, 2010) supported this notion identifying two subgroups of BRCAX tumours, one of these groups showing a ‘BRCA1-like' gene expression profile. Discovery of miRNAs, short non-coding single-stranded RNA molecules that negatively regulate gene expression by inducing either translational repression or mRNA degradation depending on the level of complementarity to its target mRNA at the 3′UTR, has improved our understanding of gene regulation. It has been demonstrated that miRNAs have a significant role in various biological processes, including differentiation and development, metabolism, regulation of cell proliferation and apoptosis (Inui et al, 2010). Deregulation of miRNA expression has been extensively implicated in cancer pathogenesis in various tumour types (Croce, 2009; Lujambio and Lowe, 2012). Further, miRNA expression is tissue specific and it has been demonstrated that miRNA expression profiling is more robust in classification of tumours of different origin (Lu et al, 2005). Specifically, in breast cancer, a number of studies defined miRNA expression profiles associated with sporadic breast tumours (Iorio et al, 2005; Volinia et al, 2006, 2012), specific breast cancer subtypes (Blenkiron et al, 2007; Fassan et al, 2009) and tumour biological features such as hormone receptor and HER2 status, metastasis, progression or proliferation (Mattie et al, 2006; Tavazoie et al, 2008; Lowery et al, 2009). There has been longstanding expectation that evolution in molecular profiling may result in pathological classification that more directly reflects the genetic aetiology of non-BRCA1/2 tumours. Unfortunately, gene expression profiling studies have not lived to these expectations primarily due to technical and logistic difficulties related to acquisition of fresh tumour material. Given that miRNAs are very stable molecules, shown to be well preserved in paraffin-embedded tissues and also present in body fluids, they represent an ideal class of cancer biomarkers and have proven to be useful for cancer classification. Here we studied global miRNA expression in a large series of 66 FFPE hereditary breast tumours using miRNA microarrays with the aim to explore BRCAX tumour heterogeneity based on their miRNA signatures. We have shown that BRCAX tumours can be sub-classified into four homogenous groups (BRCAX-A, -B, -C, and -D) characterised by specific miRNA expression signatures and histopathological features. These findings introduce a new insight in biology of hereditary breast cancer, defining specific BRCAX subgroups that could help in the search for novel susceptibility pathways in hereditary breast cancer.
- Published
- 2013