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基于计算机的分析鉴定转移性结直肠癌中 miR-1271-5p/PLCβ4(磷脂酶 Cβ4)轴介导的奥沙利铂耐药性。

In silico analysis to identify miR-1271-5p/PLCB4 (phospholipase C Beta 4) axis mediated oxaliplatin resistance in metastatic colorectal cancer.

机构信息

Graduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, Taipei, Taiwan, ROC.

Department of Anatomy and Cell Biology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan, ROC.

出版信息

Sci Rep. 2023 Mar 16;13(1):4366. doi: 10.1038/s41598-023-31331-2.

Abstract

Oxaliplatin (OXA) is the first-line chemotherapy drug for metastatic colorectal cancer (mCRC), and the emergence of drug resistance is a major clinical challenge. Although there have been numerous studies on OXA resistance, but its underlying molecular mechanisms are still unclear. This study aims to identify key regulatory genes and pathways associated with OXA resistance. The Gene Expression Omnibus (GEO) GSE42387 dataset containing gene expression profiles of parental and OXA-resistant LoVo cells was applied to explore potential targets. GEO2R, STRING, CytoNCA (a plug-in of Cytoscape), and DAVID were used to analyze differentially expressed genes (DEGs), protein-protein interactions (PPIs), hub genes in PPIs, and gene ontology (GO)/Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. R2 online platform was used to run a survival analysis of validated hub genes enriched in KEGG pathways. The ENCORI database predicted microRNAs for candidate genes. A survival analysis of those genes was performed, and validated using the OncoLnc database. In addition, the 'clusterProfiler' package in R was used to perform gene set enrichment analysis (GSEA). We identified 395 DEGs, among which 155 were upregulated and 240 were downregulated. In total, 95 DEGs were screened as hub genes after constructing the PPI networks. Twelve GO terms and three KEGG pathways (steroid hormone biosynthesis, malaria, and pathways in cancer) were identified as being significant in the enrichment analysis of hub genes. Twenty-one hub genes enriched in KEGG pathways were defined as key genes. Among them AKT3, phospholipase C Beta 4 (PLCB4), and TGFB1 were identified as OXA-resistance genes through the survival analysis. High expressions of AKT3 and TGFB1 were each associated with a poor prognosis, and lower expression of PLCB4 was correlated with worse survival. Further, high levels of hsa-miR-1271-5p, which potentially targets PLCB4, were associated with poor overall survival in patients with CRC. Finally, we found that PLCB4 low expression was associated with MAPK signaling pathway and VEGF signaling pathway in CRC. Our results demonstrated that hsa-miR-1271-5p/PLCB4 in the pathway in cancer could be a new potential therapeutic target for mCRC with OXA resistance.

摘要

奥沙利铂(OXA)是转移性结直肠癌(mCRC)的一线化疗药物,而耐药性的出现是一个主要的临床挑战。尽管已经有许多关于 OXA 耐药性的研究,但其潜在的分子机制仍不清楚。本研究旨在确定与 OXA 耐药性相关的关键调控基因和途径。应用基因表达综合数据库(GEO)GSE42387 数据集,其中包含亲本和 OXA 耐药性 LoVo 细胞的基因表达谱,以探讨潜在的靶标。使用 GEO2R、STRING、CytoNCA( Cytoscape 的插件)和 DAVID 分析差异表达基因(DEGs)、蛋白质-蛋白质相互作用(PPIs)、PPIs 中的枢纽基因以及基因本体论(GO)/京都基因与基因组百科全书(KEGG)富集分析。使用 R2 在线平台对 KEGG 途径中富集的验证枢纽基因进行生存分析。ENCORI 数据库预测候选基因的 microRNAs。对这些基因进行生存分析,并使用 OncoLnc 数据库进行验证。此外,还使用 R 中的“clusterProfiler”软件包进行基因集富集分析(GSEA)。我们鉴定了 395 个 DEGs,其中 155 个上调,240 个下调。总共构建 PPI 网络后筛选出 95 个 DEG 作为枢纽基因。枢纽基因富集分析鉴定了 12 个 GO 术语和 3 个 KEGG 途径(类固醇激素生物合成、疟疾和癌症途径)。在 KEGG 途径中富集的 21 个枢纽基因被定义为关键基因。其中,AKT3、磷酸酶 PLCβ4(PLCB4)和 TGFB1 通过生存分析被鉴定为 OXA 耐药基因。AKT3 和 TGFB1 的高表达均与不良预后相关,而 PLCB4 的低表达与较差的生存相关。此外,高表达 hsa-miR-1271-5p,可能靶向 PLCB4,与 CRC 患者的总生存期不良相关。最后,我们发现 PLCB4 的低表达与 CRC 中的 MAPK 信号通路和 VEGF 信号通路有关。我们的研究结果表明,癌症途径中的 hsa-miR-1271-5p/PLCB4 可能成为 mCRC 伴 OXA 耐药的新的潜在治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ccb/10020571/f534b87c5c89/41598_2023_31331_Fig1_HTML.jpg

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