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基因表达特征作为肿瘤缺氧的生物标志物

Gene Expression Signatures as Biomarkers of Tumour Hypoxia.

作者信息

Harris B H L, Barberis A, West C M L, Buffa F M

机构信息

Department of Oncology, University of Oxford, Old Road Campus Research Building, Oxford OX3 7DQ, UK.

Translational Radiobiology Group, Institute of Cancer Sciences, University of Manchester, Christie Hospital, Manchester M13 9PT, UK.

出版信息

Clin Oncol (R Coll Radiol). 2015 Oct;27(10):547-60. doi: 10.1016/j.clon.2015.07.004. Epub 2015 Aug 14.

Abstract

Hypoxia is a feature of most solid tumours and is associated with a poor prognosis. The hypoxic environment can reduce the efficacy of radiotherapy and some chemotherapeutics, and has been investigated extensively as a therapeutic target. The clinical use of hypoxia-targeting treatment will benefit from the development of a biomarker to assess tumour hypoxia. There are several possible techniques that measure either the level of oxygen or the tumour molecular response to hypoxia. The latter includes gene expression profiling, which measures the transcriptional response of a tumour to its hypoxic microenvironment. A systematic review identified 32 published hypoxia gene expression signatures. The methods used for their derivation varied, but are broadly classified as: (i) identifying genes with significantly higher or lower expression in cancer cells cultured under hypoxic versus normoxic conditions; (ii) using either previously characterised hypoxia-regulated genes/biomarkers to define hypoxic tumours and then identifying other genes that are over- or under-expressed in the hypoxic tumours. Both generated gene signatures useful in furthering our understanding of hypoxia biology. However, signatures derived using the second method seem to be superior in terms of providing prognostic information. Here we summarise all 32 published hypoxia signatures, discuss their commonalities and differences, and highlight their strengths and limitations. This review also highlights the importance of reproducibility and gene annotation, which must be accounted for to transfer signatures robustly for clinical application as biomarkers.

摘要

缺氧是大多数实体瘤的一个特征,且与预后不良相关。缺氧环境会降低放疗和某些化疗药物的疗效,并且作为一个治疗靶点已被广泛研究。缺氧靶向治疗的临床应用将受益于用于评估肿瘤缺氧的生物标志物的开发。有几种可能的技术可用于测量氧水平或肿瘤对缺氧的分子反应。后者包括基因表达谱分析,它测量肿瘤对其缺氧微环境的转录反应。一项系统评价确定了32个已发表的缺氧基因表达特征。用于推导这些特征的方法各不相同,但大致可分为:(i)鉴定在缺氧与常氧条件下培养的癌细胞中表达显著更高或更低的基因;(ii)使用先前表征的缺氧调节基因/生物标志物来定义缺氧肿瘤,然后鉴定在缺氧肿瘤中过表达或低表达的其他基因。两者生成的基因特征都有助于增进我们对缺氧生物学的理解。然而,就提供预后信息而言,使用第二种方法推导的特征似乎更具优势。在此,我们总结了所有32个已发表的缺氧特征,讨论了它们的共性和差异,并突出了它们的优势和局限性。本综述还强调了可重复性和基因注释的重要性,为了将这些特征作为生物标志物可靠地应用于临床,必须考虑这些因素。

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