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基底样乳腺癌中的剪接失衡导致细胞表面和致癌途径的改变,并与患者的生存相关。

Splicing imbalances in basal-like breast cancer underpin perturbation of cell surface and oncogenic pathways and are associated with patients' survival.

机构信息

Guy's and St Thomas' NHS Foundation Trust and King's College London NIHR Biomedical Research Centre - Translational Bioinformatics Platform, Guy's Hospital, London, UK.

Breast Cancer Now Research Unit King's College London, School of Medicine, Division of Cancer Studies, Bermondsey Wing, Guy's Hospital, London.

出版信息

Sci Rep. 2017 Jan 6;7:40177. doi: 10.1038/srep40177.

Abstract

Despite advancements in the use of transcriptional information to understand and classify breast cancers, the contribution of splicing to the establishment and progression of these tumours has only recently starting to emerge. Our work explores this lesser known landscape, with special focus on the basal-like breast cancer subtype where limited therapeutic opportunities and no prognostic biomarkers are currently available. Using ExonArray analysis of 176 breast cancers and 9 normal breast tissues we demonstrate that splicing levels significantly contribute to the diversity of breast cancer molecular subtypes and explain much of the differences compared with normal tissues. We identified pathways specifically affected by splicing imbalances whose perturbation would be hidden from a conventional gene-centric analysis of gene expression. We found that a large fraction of them involve cell-to-cell communication, extracellular matrix and transport, as well as oncogenic and immune-related pathways transduced by plasma membrane receptors. We identified 247 genes in which splicing imbalances are associated with clinical patients' outcome, whilst no association was detectable at the gene expression level. These include the signaling gene TGFBR1, the proto-oncogene MYB as well as many immune-related genes such as CCR7 and FCRL3, reinforcing evidence for a role of immune components in influencing breast cancer patients' prognosis.

摘要

尽管转录信息在理解和分类乳腺癌方面取得了进展,但剪接在这些肿瘤的发生和发展中的作用直到最近才开始显现。我们的工作探索了这一鲜为人知的领域,特别关注基底样乳腺癌亚型,目前该亚型治疗机会有限,也没有预后生物标志物。我们使用 ExonArray 分析了 176 例乳腺癌和 9 例正常乳腺组织,证明剪接水平对乳腺癌分子亚型的多样性有显著贡献,并解释了与正常组织相比的大部分差异。我们确定了受剪接失衡影响的途径,这些途径的干扰在传统的基于基因表达的基因分析中是隐藏的。我们发现,其中很大一部分涉及细胞间通讯、细胞外基质和运输,以及由质膜受体转导的致癌和免疫相关途径。我们发现 247 个基因的剪接失衡与临床患者的预后相关,而在基因表达水平上则无法检测到相关性。其中包括信号基因 TGFBR1、原癌基因 MYB 以及许多免疫相关基因,如 CCR7 和 FCRL3,这进一步证明了免疫成分在影响乳腺癌患者预后方面的作用。

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