Comprehensive identification of hub mRNAs and lncRNAs in colorectal cancer using galaxy: an in silico transcriptome analysis.

IF 2.9 4区 医学 Q3 ENDOCRINOLOGY & METABOLISM Discover. Oncology Pub Date : 2025-03-08 DOI:10.1007/s12672-025-02026-z
Mohsen Yari, Milad Eidi, Mohammad-Amin Omrani, Zahra Fazeli, Mohammad Rahmanian, Soudeh Ghafouri-Fard
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Abstract

Colorectal cancer (CRC) is the second leading cause of cancer-related mortality. Using the Galaxy platform, the present study aimed to assess the differentially expressed genes (DEGs) in CRC patients. The expression data was obtained from the Gene Expression Omnibus database (GSE137327). DEGs were analyzed using Gene Ontology (GO) and GeneMANIA databases to detect the most critical biological pathways and processes. Protein-Protein Interaction Studies (PPIS) identified four hub genes (CCN1, CCL2, FLNC, MYH11). This article presents findings on three mRNAs (CEMIP, MMP7, and DPEP1) and also two notable lncRNAs, EVADR and DLX6-AS1, that have an impact on CRC pathogenesis and play a role in the epithelial-mesenchymal transition in tumor cells. The identified genes and lncRNAs are putative therapeutic targets and diagnostic markers. For instance, CRISPR/Cas9 editing systems can be designed in order to modulate expression of these genes, or edit them for the purpose of inducing sensitivity to conventional therapies. Besides, these genes can be incorporated into clinical prognostic models, offering panels of genes to choose appropriate personalized methods of treatment. Together, these genes represent novel markers and possible therapeutic targets for CRC.

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利用银河系转录组分析综合鉴定结直肠癌中的枢纽mrna和lncrna。
结直肠癌(CRC)是癌症相关死亡的第二大原因。利用Galaxy平台,本研究旨在评估CRC患者的差异表达基因(DEGs)。表达数据来源于Gene expression Omnibus数据库(GSE137327)。使用基因本体(GO)和GeneMANIA数据库分析基因变异,以检测最关键的生物学途径和过程。蛋白-蛋白相互作用研究(PPIS)鉴定了四个中心基因(CCN1, CCL2, FLNC, MYH11)。本文介绍了三种mrna (CEMIP、MMP7和DPEP1)和两种值得注意的lncRNAs (EVADR和DLX6-AS1)的发现,它们影响结直肠癌的发病机制,并在肿瘤细胞的上皮-间质转化中发挥作用。所鉴定的基因和lncrna是推测的治疗靶点和诊断标记。例如,可以设计CRISPR/Cas9编辑系统来调节这些基因的表达,或者编辑它们以诱导对常规疗法的敏感性。此外,这些基因可以纳入临床预后模型,为选择适当的个性化治疗方法提供基因面板。总之,这些基因代表了CRC的新标记和可能的治疗靶点。
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来源期刊
Discover. Oncology
Discover. Oncology Medicine-Endocrinology, Diabetes and Metabolism
CiteScore
2.40
自引率
9.10%
发文量
122
审稿时长
5 weeks
期刊最新文献
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