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人类前列腺癌和乳腺癌癌症致死表型的干细胞起源

Stem cell origin of death-from-cancer phenotypes of human prostate and breast cancers.

作者信息

Glinsky Gennadi V

机构信息

Translational & Functional Genomics Laboratory, Ordway Cancer Center, Ordway Research Institute, Albany, NY 12208, USA.

出版信息

Stem Cell Rev. 2007 Jan;3(1):79-93. doi: 10.1007/s12015-007-0011-9.

Abstract

In clinical terms, all human cancers diagnosed in individuals can be divided in two major categories: malignant tumors that will be cured with the existing cancer therapies and tumors that have therapy-resistant phenotypes and will return after initial treatment as incurable metastatic disease. These tumors manifesting clinically lethal death-from-cancer phenotypes represent the most formidable challenge of experimental, translational, and clinical cancer research. Clinical genomics data demonstrate that gene expression signatures associated with the "stemness" state of a cell are informative as molecular predictors of cancer therapy outcome and can help to identify cancer patients with therapy-resistant tumors. Here, we present experimental and clinical evidence in support of the BMI1 pathway rule indicating a genetic link between the stemness state and therapy-resistant death-from-cancer phenotypes. Our analysis demonstrates that therapy-resistant and therapy-responsive cancer phenotypes manifest distinct patterns of association with stemness/differentiation pathways, suggesting that therapy-resistant and therapy-responsive tumors develop within genetically distinct stemness/differentiation programs. These differences can be exploited for development of prognostic and therapy selection genetic tests utilizing a microarray-based cancer therapy outcome predictor algorithm. One of the major regulatory pathways manifesting distinct patterns of association with therapy-resistant and therapy-responsive cancer phenotypes is the Polycomb group proteins chromatin silencing pathway.

摘要

从临床角度来看,个体中诊断出的所有人类癌症可分为两大类:一类是现有癌症疗法可治愈的恶性肿瘤,另一类是具有治疗抗性表型且在初始治疗后会以无法治愈的转移性疾病形式复发的肿瘤。这些表现出临床致命性癌症致死表型的肿瘤是实验性、转化性和临床癌症研究面临的最严峻挑战。临床基因组学数据表明,与细胞“干性”状态相关的基因表达特征可作为癌症治疗结果的分子预测指标,有助于识别患有治疗抗性肿瘤的癌症患者。在此,我们提供实验和临床证据来支持BMI1通路规则,该规则表明干性状态与治疗抗性癌症致死表型之间存在遗传联系。我们的分析表明,治疗抗性和治疗反应性癌症表型与干性/分化通路表现出不同的关联模式,这表明治疗抗性和治疗反应性肿瘤是在基因上不同的干性/分化程序中发展而来的。利用基于微阵列的癌症治疗结果预测算法,这些差异可用于开发预后和治疗选择基因检测。与治疗抗性和治疗反应性癌症表型表现出不同关联模式的主要调控通路之一是多梳蛋白组染色质沉默通路。

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