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胰腺癌的分子亚型。

Molecular subtypes of pancreatic cancer.

机构信息

University of California, San Francisco, San Francisco, CA, USA.

Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Garscube Estate, Glasgow, Scotland, UK.

出版信息

Nat Rev Gastroenterol Hepatol. 2019 Apr;16(4):207-220. doi: 10.1038/s41575-019-0109-y.

Abstract

Cancers that appear morphologically similar often have dramatically different clinical features, respond variably to therapy and have a range of outcomes. Compelling evidence now demonstrates that differences in the molecular pathology of otherwise indistinguishable cancers substantially impact the clinical characteristics of the disease. Molecular subtypes now guide preclinical and clinical therapeutic development and treatment in many cancer types. The ability to predict optimal therapeutic strategies ahead of treatment improves overall patient outcomes, minimizing treatment-related morbidity and cost. Although clinical decision making based on histopathological criteria underpinned by robust data is well established in many cancer types, subtypes of pancreatic cancer do not currently inform treatment decisions. However, accumulating molecular data are defining subgroups in pancreatic cancer with distinct biology and potential subtype-specific therapeutic vulnerabilities, providing the opportunity to define a de novo clinically applicable molecular taxonomy. This Review summarizes current knowledge concerning the molecular subtyping of pancreatic cancer and explores future strategies for using a molecular taxonomy to guide therapeutic development and ultimately routine therapy with the overall goal of improving outcomes for this disease.

摘要

形态学上相似的癌症往往具有显著不同的临床特征,对治疗的反应也各不相同,且预后差异很大。目前有强有力的证据表明,即使在形态上无法区分的癌症中,分子病理学的差异也会极大地影响疾病的临床特征。在许多癌症类型中,分子亚型现在指导着临床前和临床治疗的发展和治疗。在治疗前预测最佳治疗策略的能力提高了整体患者的预后,最大限度地减少了与治疗相关的发病率和成本。尽管许多癌症类型的治疗决策都基于有可靠数据支持的组织病理学标准,但目前胰腺癌的亚型并不能为治疗决策提供信息。然而,不断积累的分子数据正在定义具有不同生物学特性和潜在亚型特异性治疗弱点的胰腺癌亚群,为定义一种新的临床适用的分子分类学提供了机会。这篇综述总结了目前关于胰腺癌分子分型的知识,并探讨了未来利用分子分类学指导治疗开发的策略,最终目标是改善这种疾病的预后。

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