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首页> 外文期刊>World Journal of Gastroenterology >Gene expression arrays as a tool to unravel mechanisms of normal tissue radiation injury and prediction of response
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Gene expression arrays as a tool to unravel mechanisms of normal tissue radiation injury and prediction of response

机译：基因表达阵列作为揭示正常组织放射损伤机制和反应预测的工具

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Over the past 5 years there has been a rapid increase in the use of microarray technology in the field of cancer research. The majority of studies use microarray analysis of tumor biopsies for profiling of molecular characteristics in an attempt to produce robust classifiers for prognosis. There are now several published gene sets that have been shown to predict for aggressive forms of breast cancer, where patients are most likely to benefit from adjuvant chemotherapy and tumors most likely to develop distant metastases, or be resistant to treatment. The number of publications relating to the use of microarrays for analysis of normal tissue damage, after cancer treatment or genotoxic exposure, is much more limited. A PubMed literature search was conducted using the following keywords and combination of terms: radiation, normal tissue, microarray, gene expression profiling, prediction. With respect to normal tissue radiation injury, microarrays have been used in three ways: (1) to generate gene signatures to identify sensitive and resistant populations (prognosis); (2) to identify sets of biomarker genes for estimating radiation exposure, either accidental or as a result of terrorist attack (diagnosis); (3) to identify genes and pathways involved in tissue response to injury (mechanistic). In this article we will review all (relevant) papers that covered our literature search criteria on microarray technology as it has been applied to normal tissue radiation biology and discuss how successful this has been in defining predisposition markers for radiation sensitivity or how it has helped us to unravel molecular mechanisms leading to acute and late tissue toxicity. We also discuss some of the problems and limitations in application and interpretation of such data.
机译：在过去的五年中，在癌症研究领域中，微阵列技术的使用迅速增加。大多数研究使用肿瘤活检的微阵列分析来分析分子特征，以试图产生可靠的预后分类器。现在，已经有几种已公开的基因组可以预测乳腺癌的侵袭性形式，其中患者最有可能从辅助化疗中受益，而肿瘤最有可能发生远处转移或对治疗有抵抗力。在癌症治疗或遗传毒性暴露后，与使用微阵列分析正常组织损伤有关的出版物数量受到更多限制。使用以下关键字和术语组合进行PubMed文献搜索：放射线，正常组织，微阵列，基因表达谱，预测。关于正常组织的放射损伤，微阵列已经以三种方式使用：（1）产生基因标记以鉴定敏感和耐药人群（预后）； （2）鉴定用于评估偶然或由于恐怖袭击（诊断）而导致的辐射暴露的生物标志物基因组； （3）识别参与组织对损伤反应的机制的基因和途径（机制）。在本文中，我们将回顾所有涉及微阵列技术的文献搜索标准的（相关）论文，因为该技术已应用于正常组织放射生物学，并讨论了这种技术在确定放射敏感性的易感性标志物方面取得了多么成功或如何帮助我们揭示导致急性和晚期组织毒性的分子机制。我们还将讨论此类数据的应用和解释中的一些问题和局限性。

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