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广泛的转录组学和基因组分析为管腔型乳腺癌提供了新见解。

Extensive Transcriptomic and Genomic Analysis Provides New Insights about Luminal Breast Cancers.

作者信息

Tishchenko Inna, Milioli Heloisa Helena, Riveros Carlos, Moscato Pablo

机构信息

Information-based Medicine Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia.

School of Electrical Engineering and Computer Science, The University of Newcastle, Callaghan, NSW, Australia.

出版信息

PLoS One. 2016 Jun 24;11(6):e0158259. doi: 10.1371/journal.pone.0158259. eCollection 2016.

Abstract

Despite constituting approximately two thirds of all breast cancers, the luminal A and B tumours are poorly classified at both clinical and molecular levels. There are contradictory reports on the nature of these subtypes: some define them as intrinsic entities, others as a continuum. With the aim of addressing these uncertainties and identifying molecular signatures of patients at risk, we conducted a comprehensive transcriptomic and genomic analysis of 2,425 luminal breast cancer samples. Our results indicate that the separation between the molecular luminal A and B subtypes-per definition-is not associated with intrinsic characteristics evident in the differentiation between other subtypes. Moreover, t-SNE and MST-kNN clustering approaches based on 10,000 probes, associated with luminal tumour initiation and/or development, revealed the close connections between luminal A and B tumours, with no evidence of a clear boundary between them. Thus, we considered all luminal tumours as a single heterogeneous group for analysis purposes. We first stratified luminal tumours into two distinct groups by their HER2 gene cluster co-expression: HER2-amplified luminal and ordinary-luminal. The former group is associated with distinct transcriptomic and genomic profiles, and poor prognosis; it comprises approximately 8% of all luminal cases. For the remaining ordinary-luminal tumours we further identified the molecular signature correlated with disease outcomes, exhibiting an approximately continuous gene expression range from low to high risk. Thus, we employed four virtual quantiles to segregate the groups of patients. The clinico-pathological characteristics and ratios of genomic aberrations are concordant with the variations in gene expression profiles, hinting at a progressive staging. The comparison with the current separation into luminal A and B subtypes revealed a substantially improved survival stratification. Concluding, we suggest a review of the definition of luminal A and B subtypes. A proposition for a revisited delineation is provided in this study.

摘要

尽管管腔A型和B型肿瘤约占所有乳腺癌的三分之二,但在临床和分子水平上,它们的分类都很差。关于这些亚型的性质存在相互矛盾的报道:一些将它们定义为内在实体,另一些则定义为连续体。为了解决这些不确定性并识别有风险患者的分子特征,我们对2425例管腔型乳腺癌样本进行了全面的转录组和基因组分析。我们的结果表明,分子管腔A型和B型亚型之间的区分——根据定义——与其他亚型之间分化中明显的内在特征无关。此外,基于与管腔肿瘤起始和/或发展相关的10000个探针的t-SNE和MST-kNN聚类方法揭示了管腔A型和B型肿瘤之间的紧密联系,没有证据表明它们之间有明显的界限。因此,为了分析目的,我们将所有管腔型肿瘤视为一个单一的异质性组。我们首先根据HER2基因簇共表达将管腔型肿瘤分为两个不同的组:HER2扩增管腔型和普通管腔型。前一组与独特的转录组和基因组谱以及不良预后相关;它约占所有管腔型病例的8%。对于其余普通管腔型肿瘤,我们进一步确定了与疾病结局相关的分子特征,表现出从低风险到高风险的近似连续基因表达范围。因此,我们采用四个虚拟分位数来区分患者组。临床病理特征和基因组畸变率与基因表达谱的变化一致,暗示了疾病的进展分期。与目前分为管腔A型和B型亚型的比较显示,生存分层有了显著改善。总之,我们建议重新审视管腔A型和B型亚型的定义。本研究提供了一个重新划分的建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af1b/4920434/ded1586c3257/pone.0158259.g001.jpg

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