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基因和微 RNA 对培美曲塞细胞反应的干扰涉及生物网络,并能够推断肺腺癌的反应。

Gene and MicroRNA Perturbations of Cellular Response to Pemetrexed Implicate Biological Networks and Enable Imputation of Response in Lung Adenocarcinoma.

机构信息

Section of Genetic Medicine, Department of Medicine, the University of Chicago, Chicago, IL, 60637, USA.

Division of Genetic Medicine, Vanderbilt University School of Medicine, Nashville, TN, 37232, USA.

出版信息

Sci Rep. 2018 Jan 15;8(1):733. doi: 10.1038/s41598-017-19004-3.

Abstract

Pemetrexed is indicated for non-small cell lung carcinoma and mesothelioma, but often has limited efficacy due to drug resistance. To probe the molecular mechanisms underlying chemotherapeutic response, we performed mRNA and microRNA (miRNA) expression profiling of pemetrexed treated and untreated lymphoblastoid cell lines (LCLs) and applied a hierarchical Bayesian method. We identified genetic variation associated with gene expression in human lung tissue for the most significant differentially expressed genes (Benjamini-Hochberg [BH] adjusted p < 0.05) using the Genotype-Tissue Expression data and found evidence for their clinical relevance using integrated molecular profiling and lung adenocarcinoma survival data from The Cancer Genome Atlas project. We identified 39 miRNAs with significant differential expression (BH adjusted p < 0.05) in LCLs. We developed a gene expression based imputation model of drug sensitivity, quantified its prediction performance, and found a significant correlation of the imputed phenotype generated from expression data with survival time in lung adenocarcinoma patients. Differentially expressed genes (MTHFD2 and SUFU) that are putative targets of differentially expressed miRNAs also showed differential perturbation in A549 fusion lung tumor cells with further replication in A549 cells. Our study suggests pemetrexed may be used in combination with agents that target miRNAs to increase its cytotoxicity.

摘要

培美曲塞适用于非小细胞肺癌和间皮瘤,但由于耐药性,其疗效往往有限。为了探究化疗反应的分子机制,我们对培美曲塞处理和未处理的淋巴母细胞系 (LCL) 进行了 mRNA 和 microRNA (miRNA) 表达谱分析,并应用了分层贝叶斯方法。我们使用基因型-组织表达数据,确定了与人类肺组织中基因表达相关的遗传变异,对于最显著差异表达的基因 (Benjamini-Hochberg [BH] 调整后的 p < 0.05),并使用整合的分子谱分析和癌症基因组图谱项目中的肺腺癌生存数据找到了其临床相关性的证据。我们在 LCL 中鉴定了 39 个具有显著差异表达的 miRNA (BH 调整后的 p < 0.05)。我们开发了基于基因表达的药物敏感性推断模型,量化了其预测性能,并发现来自表达数据的推断表型与肺腺癌患者的生存时间之间存在显著相关性。差异表达的基因 (MTHFD2 和 SUFU) 是差异表达 miRNA 的假定靶标,在 A549 融合肺肿瘤细胞中也显示出差异扰动,在 A549 细胞中进一步得到了复制。我们的研究表明,培美曲塞可能与靶向 miRNA 的药物联合使用,以增加其细胞毒性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de1e/5768793/286a0a3dca58/41598_2017_19004_Fig1_HTML.jpg

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