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针对表皮生长因子受体(EGFR)激酶抑制剂的基因型相关敏感性进行的高通量肺癌细胞系筛选。

High-throughput lung cancer cell line screening for genotype-correlated sensitivity to an EGFR kinase inhibitor.

作者信息

McDermott Ultan, Sharma Sreenath V, Settleman Jeffrey

机构信息

Center for Molecular Therapeutics, Massachusetts General Hospital Cancer Center and Harvard Medical School, Charlestown, Massachusetts, USA.

出版信息

Methods Enzymol. 2008;438:331-41. doi: 10.1016/S0076-6879(07)38023-3.

Abstract

Human cancer cell lines that can be propagated and manipulated in culture have proven to be excellent models for studying many aspects of gene function in cancer. In addition, they can provide a powerful system for assessing the molecular determinants of sensitivity to anticancer drugs. They have also been used in recent studies to identify genomic alterations and gene expression patterns that provide important insights into the genetic features that distinguish the properties of tumor cells associated with similar histologies. We have established a large repository of human tumor cell lines (>1000) corresponding to a wide variety of tumor types, and we have developed a methodology for profiling the collection for sensitivity to putative anticancer compounds. The rationale for examining tumor cell lines on this relatively large scale reflects accumulating evidence indicating that there is substantial genetic heterogeneity among human tumor cells-even those derived from tumors of similar histologies. Thus, to develop an accurate picture of the molecular determinants of tumorigenesis and response to therapy, it is essential to study the nature of such heterogeneity in a relatively large sample set. Here, we describe the methodologies used to conduct such screens and we describe a "proof-of-concept" screen using the EGFR kinase inhibitor, erlotinib (Tarceva), with a panel of lung cancer lines to demonstrate a correlation between EGFR mutations and drug sensitivity.

摘要

已证实可在培养中进行繁殖和操作的人类癌细胞系,是研究癌症基因功能诸多方面的优秀模型。此外,它们可为评估对抗癌药物敏感性的分子决定因素提供一个强大的系统。近期研究中还利用它们来识别基因组改变和基因表达模式,这些改变和模式为区分具有相似组织学特征的肿瘤细胞特性的遗传特征提供了重要见解。我们建立了一个对应多种肿瘤类型的大型人类肿瘤细胞系库(超过1000个),并开发了一种方法来分析该细胞系库对假定抗癌化合物的敏感性。在相对大规模上检测肿瘤细胞系的基本原理反映出越来越多的证据表明,人类肿瘤细胞之间存在显著的遗传异质性——即使是那些源自相似组织学肿瘤的细胞。因此,为了准确了解肿瘤发生和对治疗反应的分子决定因素,在相对大的样本集中研究这种异质性的本质至关重要。在此,我们描述了进行此类筛选所使用的方法,并描述了一项“概念验证”筛选,该筛选使用表皮生长因子受体(EGFR)激酶抑制剂厄洛替尼(特罗凯)对一组肺癌细胞系进行检测,以证明EGFR突变与药物敏感性之间的相关性。

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