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脑癌的药物基因组学与恶性胶质瘤的个性化医疗

Pharmacogenomics of brain cancer and personalized medicine in malignant gliomas.

作者信息

Shai Ruty Mehrian, Reichardt Juergen K V, Chen Thomas C

机构信息

USC Keck School of Medicine, Department of Biochemistry and Molecular Biology, Institute for Genetic Medicine, Los Angeles, CA 90089, USA.

出版信息

Future Oncol. 2008 Aug;4(4):525-34. doi: 10.2217/14796694.4.4.525.

DOI:10.2217/14796694.4.4.525
PMID:18684063
Abstract

The pharmacogenetics of cancer treatment has been aimed at identifying genetic components of interindividual variability in patients' response to cancer chemotherapy and toxicity. This, in turn, will establish an individually based treatment, and also elucidate the molecular basis of the treatment regimen for further improvements. Brain cancer is an instructive example for the potential contributions of pharmacogenomics to improved treatment in the 21st century. Patients with oligodendrogliomas have benefited from phamacogenomics, as there is a clear relationship between response to chemotherapy and chromosomal profile. Drug efficacy, safety and response could be improved by using pharmacogenomics to identify genetic markers that differentiate responder from nonresponder patient groups, as well as identifying patients likely to develop adverse drug reactions. This review will focus on how pharmacogenomics by microarray studies may lead to much more accurate tumor classification, drug and biomarker discovery, and drug efficacy testing. We will discuss relevant scientific advances in pharmacogenetics for more personalized chemotherapy.

摘要

癌症治疗的药物遗传学旨在确定患者对癌症化疗反应和毒性个体差异的遗传成分。这反过来将建立基于个体的治疗方法,并阐明治疗方案的分子基础以进一步改进。脑癌是药物基因组学对21世纪改善治疗潜在贡献的一个有启发性的例子。少突胶质细胞瘤患者已从药物基因组学中受益,因为化疗反应与染色体图谱之间存在明确关系。通过使用药物基因组学来识别区分反应者和无反应患者组的遗传标记,以及识别可能发生药物不良反应的患者,可以提高药物疗效、安全性和反应。本综述将重点关注通过微阵列研究的药物基因组学如何导致更准确的肿瘤分类、药物和生物标志物发现以及药物疗效测试。我们将讨论药物遗传学在更个性化化疗方面的相关科学进展。

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Pharmacogenomics of brain cancer and personalized medicine in malignant gliomas.脑癌的药物基因组学与恶性胶质瘤的个性化医疗
Future Oncol. 2008 Aug;4(4):525-34. doi: 10.2217/14796694.4.4.525.
2
[Analysis of gene expression profiles in malignant brain tumors with respect to sensitivity to therapies].[关于恶性脑肿瘤对治疗敏感性的基因表达谱分析]
Nihon Rinsho. 2005 Sep;63 Suppl 9:49-54.
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Role of p16 and p14ARF in radio- and chemosensitivity of malignant gliomas.p16和p14ARF在恶性胶质瘤放射敏感性和化学敏感性中的作用
Oncol Rep. 2006 Jul;16(1):127-32.
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Molecular genetic markers as predictors of response to chemotherapy in gliomas.分子遗传标志物作为胶质瘤化疗反应的预测指标。
Curr Opin Oncol. 2007 Nov;19(6):606-11. doi: 10.1097/CCO.0b013e3282f075f3.
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[New glioma therapy using specific microRNAs].[使用特定微小RNA的新型神经胶质瘤疗法]
Ugeskr Laeger. 2012 Mar 5;174(10):630-3.
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Pharmacogenetics of anticancer drug sensitivity in non-small cell lung cancer.非小细胞肺癌中抗癌药物敏感性的药物遗传学
Pharmacol Rev. 2003 Mar;55(1):57-103. doi: 10.1124/pr.55.1.4.
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New treatment strategies for malignant gliomas.恶性胶质瘤的新治疗策略。
Expert Rev Anticancer Ther. 2006 Jul;6(7):1087-104. doi: 10.1586/14737140.6.7.1087.
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Cell surface receptors in malignant glioma.恶性神经胶质瘤的细胞表面受体。
Neurosurgery. 2011 Oct;69(4):980-94; discussion 994. doi: 10.1227/NEU.0b013e318220a672.
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Pharmacogenetics in cancer treatment.癌症治疗中的药物遗传学
Annu Rev Med. 2003;54:437-52. doi: 10.1146/annurev.med.54.101601.152352. Epub 2001 Dec 3.
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Somatic pharmacogenomics in cancer.癌症中的体细胞药物基因组学
Pharmacogenomics J. 2008 Oct;8(5):305-14. doi: 10.1038/tpj.2008.8. Epub 2008 Aug 5.

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Dexamethasone in Glioblastoma Multiforme Therapy: Mechanisms and Controversies.地塞米松在多形性胶质母细胞瘤治疗中的作用机制与争议
Front Mol Neurosci. 2019 Mar 29;12:65. doi: 10.3389/fnmol.2019.00065. eCollection 2019.
2
Nanotheranostics: Emerging Strategies for Early Diagnosis and Therapy of Brain Cancer.纳米诊疗学:脑癌早期诊断与治疗的新兴策略
Nanotheranostics. 2018 Jan 1;2(1):70-86. doi: 10.7150/ntno.21638. eCollection 2018.
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New strategies to deliver anticancer drugs to brain tumors.将抗癌药物输送至脑肿瘤的新策略。
Expert Opin Drug Deliv. 2009 Oct;6(10):1017-32. doi: 10.1517/17425240903167942.
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Toward effective immunotherapy for the treatment of malignant brain tumors.迈向用于治疗恶性脑肿瘤的有效免疫疗法。
Neurotherapeutics. 2009 Jul;6(3):527-38. doi: 10.1016/j.nurt.2009.04.003.