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基于基因芯片数据的乳腺癌化疗耐药相关 microRNAs 的生物信息学鉴定。

Bioinformatic identification of chemoresistance-associated microRNAs in breast cancer based on microarray data.

机构信息

Department of Breast Surgery, Qilu Hospital of Shandong University, Jinan, Shandong 250012, P.R. China.

出版信息

Oncol Rep. 2018 Mar;39(3):1003-1010. doi: 10.3892/or.2018.6205. Epub 2018 Jan 10.

Abstract

Breast cancer is the most commonly diagnosed cancer among females, and chemoresistance constitutes a major clinical obstacle to the treatment of this disease. MicroRNAs (miRNAs) are related to human cancer development, progression and drug resistance. To identify breast cancer chemoresistance-associated miRNAs, miRNA microarray dataset GSE71142, including five chemoresistant breast cancer tissues and five chemosensitive tissues, was downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed miRNAs (DE-miRNAs) were obtained by t-test and the potential target genes were predicted by miRWalk2.0. Functional and pathway enrichment analysis by WebGestalt was performed for the potential target genes of DE-miRNAs. Protein-protein interaction (PPI) network was established by STRING database and visualized by Cytoscape software. Enriched transcription factors by the target genes were obtained from FunRich. Breast cancer-associated miRNA‑gene pairs were identified from miRWalk2.0. A total of 22 DE-miRNAs were screened out, including 10 upregulated miRNAs (e.g., miR-196a-5p) and 12 downregulated miRNAs (e.g., miR-4472) in the chemoresistant breast cancer tissues, compared with chemosensitive tissues. In total 1,278 target genes were screened out, and they were involved in breast cancer-related pathways such as pathways in cancer, signaling pathways regulating pluripotency of stem cells, endocrine resistance, breast cancer, mTOR signaling and Hippo signaling pathway. NOTCH1 and MAPK14 were identified as hub genes in the PPI network. EGR1 and SP1 were the most enriched transcription factors by the target genes. Several breast cancer-associated miRNA-gene pairs including miR-214-TP53 and miR-16-PPM1D were identified. The current bioinformatics study of miRNAs based on microarray may offer a new understanding into the mechanisms of breast cancer chemoresistance, and may identify novel miRNA therapeutic targets.

摘要

乳腺癌是女性中最常见的癌症,化疗耐药性是治疗这种疾病的主要临床障碍。microRNAs(miRNAs)与人类癌症的发生、发展和耐药性有关。为了鉴定与乳腺癌化疗耐药相关的 miRNAs,从基因表达综合数据库(GEO)下载了 miRNA 微阵列数据集 GSE71142,其中包括 5 例化疗耐药乳腺癌组织和 5 例化疗敏感组织。通过 t 检验获得差异表达的 miRNAs(DE-miRNAs),并通过 miRWalk2.0 预测潜在的靶基因。通过 WebGestalt 对 DE-miRNAs 的潜在靶基因进行功能和通路富集分析。通过 STRING 数据库建立蛋白质-蛋白质相互作用(PPI)网络,并通过 Cytoscape 软件可视化。从 FunRich 获得靶基因富集的转录因子。从 miRWalk2.0 中鉴定出与乳腺癌相关的 miRNA-基因对。与化疗敏感组织相比,在耐药性乳腺癌组织中筛选出 22 个 DE-miRNAs,包括 10 个上调的 miRNAs(如 miR-196a-5p)和 12 个下调的 miRNAs(如 miR-4472)。共筛选出 1278 个靶基因,它们参与了与乳腺癌相关的通路,如癌症通路、调节干细胞多能性的信号通路、内分泌抵抗、乳腺癌、mTOR 信号通路和 Hippo 信号通路。在 PPI 网络中,NOTCH1 和 MAPK14 被鉴定为核心基因。EGR1 和 SP1 是靶基因最富集的转录因子。鉴定出几个与乳腺癌相关的 miRNA-基因对,如 miR-214-TP53 和 miR-16-PPM1D。基于微阵列的 miRNA 的当前生物信息学研究可能为乳腺癌化疗耐药的机制提供新的认识,并可能确定新的 miRNA 治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/178c/5802023/4240efc8e4db/OR-39-03-1003-g00.jpg

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