Masson Amy L, Talseth-Palmer Bente A, Evans Tiffany-Jane, Grice Desma M, Hannan Garry N, Scott Rodney J
Information Based Medicine Program, Hunter Medical Research Institute, University of Newcastle, Newcastle, NSW 2305, Australia ; School of Biomedical Sciences and Pharmacy, Faculty of Health, University of Newcastle, Newcastle, NSW 2308, Australia.
Information Based Medicine Program, Hunter Medical Research Institute, University of Newcastle, Newcastle, NSW 2305, Australia ; CSIRO Preventative Health Flagship and Animal, CSIRO Food and Health Sciences Division, North Ryde, NSW 2113, Australia.
Hered Cancer Clin Pract. 2014 May 24;12(1):15. doi: 10.1186/1897-4287-12-15. eCollection 2014.
Familial breast cancer (fBC) is generally associated with an early age of diagnosis and a higher frequency of disease among family members. Over the past two decades a number of genes have been identified that are unequivocally associated with breast cancer (BC) risk but there remain a significant proportion of families that cannot be accounted for by these genes. Copy number variants (CNVs) are a form of genetic variation yet to be fully explored for their contribution to fBC. CNVs exert their effects by either being associated with whole or partial gene deletions or duplications and by interrupting epigenetic patterning thereby contributing to disease development. CNV analysis can also be used to identify new genes and loci which may be associated with disease risk.
The Affymetrix Cytogenetic Whole Genome 2.7 M (Cyto2.7 M) arrays were used to detect regions of genomic re-arrangement in a cohort of 129 fBC BRCA1/BRCA2 mutation negative patients with a young age of diagnosis (<50 years) compared to 40 unaffected healthy controls (>55 years of age).
CNV analysis revealed the presence of 275 unique rearrangements that were not present in the control population suggestive of their involvement in BC risk. Several CNVs were found that have been previously reported as BC susceptibility genes. This included CNVs in RPA3, NBN (NBS1), MRE11A and CYP19A1 in five unrelated fBC patients suggesting that these genes are involved in BC initiation and/or progression. Of special interest was the identification of WWOX and FHIT rearrangements in three unrelated fBC patients.
This study has identified a number of CNVs that potentially contribute to BC initiation and/or progression. The identification of CNVs that are associated with known tumour suppressor genes is of special interest that warrants further larger studies to understand their precise role in fBC.
家族性乳腺癌(fBC)通常与诊断年龄较早以及家族成员中较高的疾病发生率相关。在过去二十年中,已经鉴定出一些与乳腺癌(BC)风险明确相关的基因,但仍有相当一部分家族无法用这些基因来解释。拷贝数变异(CNV)是一种尚未被充分探索其对fBC贡献的遗传变异形式。CNV通过与整个或部分基因缺失或重复相关联,并通过中断表观遗传模式来发挥其作用,从而促进疾病发展。CNV分析还可用于识别可能与疾病风险相关的新基因和基因座。
使用Affymetrix细胞遗传学全基因组2.7M(Cyto2.7M)芯片,检测129例诊断年龄较小(<50岁)且BRCA1/BRCA2突变阴性的fBC患者队列中的基因组重排区域,并与40名未受影响的健康对照(>55岁)进行比较。
CNV分析显示存在275种独特的重排,这些重排在对照人群中不存在,提示它们与BC风险有关。发现了一些先前已报道为BC易感基因的CNV。这包括在五名无关的fBC患者中RPA3、NBN(NBS1)、MRE11A和CYP19A1中的CNV,表明这些基因参与了BC的起始和/或进展。特别值得关注的是在三名无关的fBC患者中鉴定出WWOX和FHIT重排。
本研究鉴定出一些可能促成BC起始和/或进展的CNV。与已知肿瘤抑制基因相关的CNV的鉴定特别令人感兴趣,值得进一步开展更大规模的研究以了解它们在fBC中的精确作用。