RemeGen Co., Ltd., 58, Middle Beijing Road, Yantai 264006, ShanDong, China.
MabPlex International Ltd., 60, Middle Beijing Road, Yantai 264006, ShanDong, China.
Gene. 2023 Jan 30;851:146942. doi: 10.1016/j.gene.2022.146942. Epub 2022 Oct 3.
Monoclonal antibodies, as the targeted therapeutic strategies, provide huge clinical benefits for tumor patients. However, after undergoing several times treatment, patients developed drug resistance which is a major bottleneck in clinical cancer therapy. In this study, we aimed to explore the potential molecular mechanism of trastuzumab-resistant and cancer progression, and identify valuable diagnosis biomarkers for gastric cancer.
Gene expression profiles and RNA-sequencing dataset of gastric cancer were acquired from Gene Expression Omnibus (GEO) dataset and The Cancer Genome Atlas (TCGA) dataset, respectively. The Differently expressed genes (DEGs) were screened by R programing language, and Gene Set Enrichment Analysis (GSEA), Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) were adopted separately to analyze the function and pathway of DEGs. Subsequently, Search Tool for the Retrieval of Interacting (STRING) and Cytoscape was performed to establish the protein-protein interaction (PPI) network and to screen hub genes. The Receiver Operating Characteristic (ROC) curves were used to evaluate the diagnostic values of the hub genes.
Integrated analysis of TCGA-STAD (Stomach adenocarcinoma) and GEO databases identified 310 common DEGs. GSEA, GO and KEGG enrichment analysis revealed several crucial enriched oncological signatures and trastuzumab-resistant signaling pathways, which may help to explain the potential modulating mechanisms of trastuzumab-resistant. Based on the PPI network, 10 hub genes were screened and five genes (GNGT1, KRT7, KRT16, SOX9, TIMP1) were identified with good performance in the diagnosis of gastric cancer by ROC analysis. Furthermore, Kaplan-Meier analysis and log-rank test suggested that upregulation of KRT16 was correlated with overall survival in gastric cancer.
Overall, our study identified five hub genes that may play a critical role in promoting trastuzumab-resistant in gastric cancer, and would be a promising diagnostic and therapeutic biomarker for trastuzumab-resistant gastric cancer.
单克隆抗体作为靶向治疗策略,为肿瘤患者提供了巨大的临床获益。然而,经过几次治疗后,患者产生了耐药性,这是临床癌症治疗的主要瓶颈。在这项研究中,我们旨在探索曲妥珠单抗耐药和癌症进展的潜在分子机制,并确定胃癌有价值的诊断生物标志物。
从基因表达综合数据库(GEO)和癌症基因组图谱(TCGA)数据库中分别获取胃癌的基因表达谱和 RNA 测序数据集。使用 R 编程语言筛选差异表达基因(DEGs),并分别采用基因集富集分析(GSEA)、基因本体论(GO)和京都基因与基因组百科全书(KEGG)分析 DEGs 的功能和通路。随后,使用 Search Tool for the Retrieval of Interacting Genes(STRING)和 Cytoscape 构建蛋白质-蛋白质相互作用(PPI)网络并筛选枢纽基因。利用受试者工作特征(ROC)曲线评估枢纽基因的诊断价值。
整合 TCGA-STAD(胃腺癌)和 GEO 数据库分析鉴定出 310 个共同的 DEGs。GSEA、GO 和 KEGG 富集分析揭示了几个关键的富集肿瘤特征和曲妥珠单抗耐药信号通路,这可能有助于解释曲妥珠单抗耐药的潜在调节机制。基于 PPI 网络,筛选出 10 个枢纽基因,通过 ROC 分析发现其中 5 个基因(GNGT1、KRT7、KRT16、SOX9、TIMP1)在胃癌诊断中具有良好的性能。此外,Kaplan-Meier 分析和对数秩检验表明,KRT16 的上调与胃癌的总生存期相关。
综上所述,本研究鉴定出 5 个枢纽基因,它们可能在促进胃癌曲妥珠单抗耐药中发挥关键作用,有望成为曲妥珠单抗耐药胃癌有前途的诊断和治疗生物标志物。