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生物信息学分析将基因组缺陷与化疗敏感性和作用机制联系起来。

Bioinformatic analysis linking genomic defects to chemosensitivity and mechanism of action.

机构信息

Information Technologies Branch, Developmental Therapeutics Program, National Cancer Institute, Frederick, MD, United States of America.

出版信息

PLoS One. 2021 Apr 28;16(4):e0243336. doi: 10.1371/journal.pone.0243336. eCollection 2021.

DOI:10.1371/journal.pone.0243336
PMID:33909629
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8081165/
Abstract

A joint analysis of the NCI60 small molecule screening data, their genetically defective genes, and mechanisms of action (MOA) of FDA approved cancer drugs screened in the NCI60 is proposed for identifying links between chemosensitivity, genomic defects and MOA. Self-Organizing-Maps (SOMs) are used to organize the chemosensitivity data. Student's t-tests are used to identify SOM clusters with enhanced chemosensitivity for tumor cell lines with versus without genetically defective genes. Fisher's exact and chi-square tests are used to reveal instances where defective gene to chemosensitivity associations have enriched MOAs. The results of this analysis find a relatively small set of defective genes, inclusive of ABL1, AXL, BRAF, CDC25A, CDKN2A, IGF1R, KRAS, MECOM, MMP1, MYC, NOTCH1, NRAS, PIK3CG, PTK2, RPTOR, SPTBN1, STAT2, TNKS and ZHX2, as possible candidates for roles in chemosensitivity for compound MOAs that target primarily, but not exclusively, kinases, nucleic acid synthesis, protein synthesis, apoptosis and tubulin. These results find exploitable instances of enhanced chemosensitivity of compound MOA's for selected defective genes. Collectively these findings will advance the interpretation of pre-clinical screening data as well as contribute towards the goals of cancer drug discovery, development decision making, and explanation of drug mechanisms.

摘要

建议对 NCI60 小分子筛选数据、其遗传缺陷基因以及在 NCI60 中筛选的 FDA 批准的癌症药物的作用机制 (MOA) 进行联合分析,以确定化学敏感性、基因组缺陷和 MOA 之间的联系。使用自组织图 (SOM) 对化学敏感性数据进行组织。使用学生 t 检验来识别具有遗传缺陷基因的肿瘤细胞系与没有遗传缺陷基因的肿瘤细胞系相比具有增强化学敏感性的 SOM 簇。使用 Fisher 精确检验和卡方检验来揭示缺陷基因与化学敏感性关联具有丰富 MOA 的情况。该分析的结果发现了一组相对较少的缺陷基因,包括 ABL1、AXL、BRAF、CDC25A、CDKN2A、IGF1R、KRAS、MECOM、MMP1、MYC、NOTCH1、NRAS、PIK3CG、PTK2、RPTOR、SPTBN1、STAT2、TNKS 和 ZHX2,它们可能作为针对主要但不限于激酶、核酸合成、蛋白质合成、细胞凋亡和微管的化合物 MOA 的化学敏感性的候选物。这些结果发现了针对选定缺陷基因的化合物 MOA 增强化学敏感性的可利用实例。这些发现将共同推进对临床前筛选数据的解释,并有助于癌症药物发现、开发决策以及药物机制的解释。

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