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通过对 BRCA1 和 BRCA2 阴性乳腺癌家族的索引患者进行全外显子组测序,鉴定候选癌症易感变异。

Identification of candidate cancer predisposing variants by performing whole-exome sequencing on index patients from BRCA1 and BRCA2-negative breast cancer families.

机构信息

Laboratory of Medical and Molecular Oncology (LMMO), Vrije Universiteit Brussel (VUB), Brussels, Belgium.

Brussels Interuniversity Genomics High Throughput core (BRIGHTcore) platform, Universitair Ziekenhuis Brussel (UZ Brussel) / Vrije Universiteit Brussel (VUB), Brussels, Belgium.

出版信息

BMC Cancer. 2019 Apr 4;19(1):313. doi: 10.1186/s12885-019-5494-7.

Abstract

BACKGROUND

In the majority of familial breast cancer (BC) families, the etiology of the disease remains unresolved. To identify missing BC heritability resulting from relatively rare variants (minor allele frequency ≤ 1%), we have performed whole exome sequencing followed by variant analysis in a virtual panel of 492 cancer-associated genes on BC patients from BRCA1 and BRCA2 negative families with elevated BC risk.

METHODS

BC patients from 54 BRCA1 and BRCA2-negative families with elevated BC risk and 120 matched controls were considered for germline DNA whole exome sequencing. Rare variants identified in the exome and in a virtual panel of cancer-associated genes [492 genes associated with different types of (hereditary) cancer] were compared between BC patients and controls. Nonsense, frame-shift indels and splice-site variants (strong protein-damaging variants, called PDAVs later on) observed in BC patients within the genes of the panel, which we estimated to possess the highest probability to predispose to BC, were further validated using an alternative sequencing procedure.

RESULTS

Exome- and cancer-associated gene panel-wide variant analysis show that there is no significant difference in the average number of rare variants found in BC patients compared to controls. However, the genes in the cancer-associated gene panel with nonsense variants were more than two-fold over-represented in women with BC and commonly involved in the DNA double-strand break repair process. Approximately 44% (24 of 54) of BC patients harbored 31 PDAVs, of which 11 were novel. These variants were found in genes associated with known or suspected BC predisposition (PALB2, BARD1, CHEK2, RAD51C and FANCA) or in predisposing genes linked to other cancer types but not well-studied in the context of familial BC (EXO1, RECQL4, CCNH, MUS81, TDP1, DCLRE1A, DCLRE1C, PDE11A and RINT1) and genes associated with different hereditary syndromes but not yet clearly associated with familial cancer syndromes (ABCC11, BBS10, CD96, CYP1A1, DHCR7, DNAH11, ESCO2, FLT4, HPS6, MYH8, NME8 and TTC8). Exome-wide, only a few genes appeared to be enriched for PDAVs in the familial BC patients compared to controls.

CONCLUSIONS

We have identified a series of novel candidate BC predisposition variants/genes. These variants/genes should be further investigated in larger cohorts/case-control studies. Other studies including co-segregation analyses in affected families, locus-specific loss of heterozygosity and functional studies should shed further light on their relevance for BC risk.

摘要

背景

在大多数家族性乳腺癌(BC)家族中,疾病的病因仍未得到解决。为了确定由于相对罕见的变异(次要等位基因频率≤1%)而导致的缺失的 BC 遗传率,我们对来自 BRCA1 和 BRCA2 阴性家族的具有升高的 BC 风险的 BC 患者进行了全外显子组测序,然后对虚拟面板中的 492 个癌症相关基因进行了变体分析。

方法

对来自 54 个 BRCA1 和 BRCA2 阴性家族的具有升高的 BC 风险的 BC 患者和 120 个匹配的对照者进行了种系 DNA 全外显子组测序。在 BC 患者和对照者之间比较了在外显子和癌症相关基因虚拟面板(与不同类型的(遗传性)癌症相关的 492 个基因)中发现的罕见变体。在面板基因中,我们估计具有最高致 BC 倾向的概率的基因中观察到的无意义、移码插入缺失和剪接位点变异(称为 PDAVs),使用替代测序程序进行了进一步验证。

结果

外显子和癌症相关基因面板的变体分析表明,BC 患者中发现的罕见变异的平均数量与对照者相比没有显著差异。然而,无意义变异基因在患有 BC 的女性中过度表达了两倍以上,并且通常涉及 DNA 双链断裂修复过程。大约 44%(54 例中的 24 例)的 BC 患者携带 31 个 PDAVs,其中 11 个是新的。这些变体存在于与已知或可疑的 BC 易感性相关的基因(PALB2、BARD1、CHEK2、RAD51C 和 FANCA)中,或与其他癌症类型相关但在家族性 BC 背景下尚未得到充分研究的易感性基因(EXO1、RECQL4、CCNH、MUS81、TDP1、DCLRE1A、DCLRE1C、PDE11A 和 RINT1)中,以及与不同遗传性综合征相关但尚未与家族性癌症综合征明确相关的基因(ABCC11、BBS10、CD96、CYP1A1、DHCR7、DNAH11、ESCO2、FLT4、HPS6、MYH8、NME8 和 TTC8)中。在外显子组范围内,与对照者相比,只有少数基因在家族性 BC 患者中似乎富含 PDAVs。

结论

我们已经确定了一系列新的候选 BC 易感性变异/基因。这些变异/基因应在更大的队列/病例对照研究中进一步研究。包括在受影响的家族中进行共分离分析、特异性杂合性丢失和功能研究等其他研究,应进一步阐明它们与 BC 风险的相关性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cc5/6449945/9a54bae9c102/12885_2019_5494_Fig1_HTML.jpg

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