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口腔鳞状细胞癌中顺铂耐药诱导的差异表达基因及其相互作用分析

Analysis of the Differentially Expressed Genes Induced by Cisplatin Resistance in Oral Squamous Cell Carcinomas and Their Interaction.

作者信息

Wu Hua-Tao, Chen Wen-Tian, Li Guan-Wu, Shen Jia-Xin, Ye Qian-Qian, Zhang Man-Li, Chen Wen-Jia, Liu Jing

机构信息

Department of General Surgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, China.

Department of Physiology, Shantou University Medical College, Shantou, China.

出版信息

Front Genet. 2020 Jan 23;10:1328. doi: 10.3389/fgene.2019.01328. eCollection 2019.

Abstract

BACKGROUND

Oral squamous cell carcinoma (OSCC) is a solid tumor, which originates from squamous epithelium, with about 400,000 new-cases/year worldwidely. Presently, chemoradiotherapy is the most important adjuvant treatment for OSCC, mostly in advanced tumors. However, clinical resistance to chemotherapy still leads to poor prognosis of OSCC patients. Via high-throughput analysis of gene expression database of OSCC, we investigated the molecular mechanisms underlying cisplatin resistance in OSCC, analyzing the differentially expressed genes (DEGs) and their regulatory relationship, to clarify the molecular basis of OSCC chemotherapy resistance and provide a theoretical foundation for the treatment of patients with OSCC and individualized therapeutic targets accurately.

METHODS

Datasets related to "OSCC" and "cisplatin resistance" (GSE111585 and GSE115119) were downloaded from the GEO database and analyzed by GEO2R. Venn diagram was used to obtain drug-resistance-related DEGs. Functional enrichment analysis and Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis were performed on DEGs using The Database for Annotation, Visualization and Integrated Discovery (DAVID) software. Protein-protein interaction (PPI) network was constructed by STRING (search tool for recurring instances of neighbouring genes) database. Potential target genes of miRNA were predicted miRDB, and cBioportal was used to analyze the function and survival of the potential functional genes.

RESULTS

Forty-eight upregulated DEGs and 49 downregulated DEGs were obtained from the datasets, with cutoff as 0.01 and |log FC| > 1. The DEGs in OSCC mainly enriched in cell proliferation regulation, and chemokine activity. In PPI network with hub score > 300, the hub genes were identified as , , , , and . Among miRNA-mRNA targeting regulatory network, hsa-mir-200c-3p, hsa-mir-200b-3p, hsa-mir-429, and hsa-mir-139-5p were found to simultaneously regulate multiple hub genes. Survival analysis showed that patients with high 1 or low expression had poor outcome.

CONCLUSIONS

In the OSCC cisplatin-resistant cell lines, , , , , and were found as the hub genes involved in regulating the cisplatin resistance of OSCC. Members of the miR-200 family may reverse drug resistance of OSCC cells by regulating the hub genes, which can act as potential targets for the treatment of OSCC patients with cisplatin resistance.

摘要

背景

口腔鳞状细胞癌(OSCC)是一种起源于鳞状上皮的实体瘤,全球每年约有40万新发病例。目前,放化疗是OSCC最重要的辅助治疗方法,主要用于晚期肿瘤。然而,临床对化疗的耐药性仍然导致OSCC患者预后不良。通过对OSCC基因表达数据库进行高通量分析,我们研究了OSCC顺铂耐药的分子机制,分析差异表达基因(DEGs)及其调控关系,以阐明OSCC化疗耐药的分子基础,并为OSCC患者的治疗和准确的个体化治疗靶点提供理论依据。

方法

从GEO数据库下载与“OSCC”和“顺铂耐药”相关的数据集(GSE111585和GSE115119),并通过GEO2R进行分析。使用维恩图获取与耐药相关的DEGs。使用注释、可视化和综合发现数据库(DAVID)软件对DEGs进行功能富集分析和京都基因与基因组百科全书(KEGG)通路分析。通过STRING(相邻基因重复实例搜索工具)数据库构建蛋白质-蛋白质相互作用(PPI)网络。利用miRDB预测miRNA的潜在靶基因,并使用cBioportal分析潜在功能基因的功能和生存情况。

结果

从数据集中获得48个上调的DEGs和49个下调的DEGs,截断值为0.01且|log FC|>1。OSCC中的DEGs主要富集在细胞增殖调控和趋化因子活性方面。在中心得分>300的PPI网络中,中心基因被鉴定为 、 、 、 和 。在miRNA-mRNA靶向调控网络中,发现hsa-mir-200c-3p、hsa-mir-200b-3p、hsa-mir-429和hsa-mir-139-5p同时调控多个中心基因。生存分析表明, 1高表达或 低表达的患者预后较差。

结论

在OSCC顺铂耐药细胞系中,发现 、 、 、 和 是参与调节OSCC顺铂耐药的中心基因。miR-200家族成员可能通过调节中心基因来逆转OSCC细胞的耐药性,这些中心基因可作为治疗顺铂耐药OSCC患者的潜在靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51fd/6989555/cf6841ce9ff7/fgene-10-01328-g001.jpg

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