Computational Elucidation of Hub Genes and Pathways Correlated with the Development of 5-Fluorouracil Resistance in HCT 116 Colorectal Carcinoma Cell Line

IF 1.6 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Biochemical Genetics Pub Date : 2025-01-30 DOI:10.1007/s10528-025-11041-2
Chun Hoe Tan, Siew Huah Lim, Kae Shin Sim
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Abstract

Colorectal cancer (CRC) is the third most deadly cancer diagnosed in both men and women. 5-Fluorouracil (5-FU) treatment frequently causes the CRC cells to become chemoresistance, which has a negative impact on prognosis. Using bioinformatic techniques, this work describes important genes and biological pathways linked to 5-FU resistance in CRC cells. In our studies, a 5-FU-resistant HCT 116 cell line exhibiting elevated TYMS was created and validated using various tests. Bioinformatic studies were conducted to determine which differentially expressed genes (DEGs) were responsible for the establishment of 5-FU resistance in the same cell line. After screening 3949 DEGs from the two public datasets (GSE196900 and GSE153412), 471 overlapping DEGs in 5-FU-resistant HCT 116 cells were chosen. These overlapping DEGs were used to build the PPI network, and a major cluster module containing 21 genes was found. Subsequently, using three topological analysis algorithms, 10 hub genes were identified, which included HLA-DRA, HLA-DRB1, CXCR4, MMP9, CDH1, SMAD3, VIM, SYK, ZEB1, and SELL. Their roles were ascertained by utilizing Gene Ontology keywords and pathway enrichment studies. Our results also demonstrated that the miRNA and transcription factors (TFs) that had the strongest connection with the hub genes were hsa-mir-26a-5p, hsa-mir-30a-5p, RELA, and NFKB1. Ultimately, 84 FDA-approved drugs that target those hub genes were found to potentially treat 5-FU resistance CRC. Our research's findings increase our understanding of the fundamental factors that contribute to the prevalence of 5-FU resistance CRC, which could ultimately assist in the identification of valuable malignancy biomarkers and targeted treatment approaches based on key regulatory pathways.

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HCT 116结直肠癌细胞系5-氟尿嘧啶耐药相关枢纽基因及通路的计算研究
结直肠癌(CRC)是男性和女性中第三大最致命的癌症。5-氟尿嘧啶(5-FU)治疗经常导致结直肠癌细胞产生化疗耐药,对预后产生负面影响。利用生物信息学技术,这项工作描述了CRC细胞中与5-FU耐药性相关的重要基因和生物学途径。在我们的研究中,我们创建了一个具有5- fu抗性的HCT 116细胞系,显示TYMS升高,并通过各种测试进行了验证。通过生物信息学研究,确定哪些差异表达基因(DEGs)负责在同一细胞系中建立5-FU抗性。在两个公共数据集(GSE196900和GSE153412)中筛选3949个deg后,在5- fu耐药HCT 116细胞中选择了471个重叠的deg。利用这些重叠的deg构建了PPI网络,发现了一个包含21个基因的主簇模块。随后,采用三种拓扑分析算法,鉴定出10个枢纽基因,包括HLA-DRA、HLA-DRB1、CXCR4、MMP9、CDH1、SMAD3、VIM、SYK、ZEB1和SELL。利用基因本体关键词和途径富集研究确定了它们的作用。我们的研究结果还表明,与枢纽基因联系最强的miRNA和转录因子(tf)是hsa-mir-26a-5p、hsa-mir-30a-5p、RELA和NFKB1。最终,84种fda批准的靶向这些中心基因的药物被发现可能治疗5-FU耐药性CRC。我们的研究结果增加了我们对导致5-FU耐药性CRC患病率的基本因素的理解,这可能最终有助于识别有价值的恶性肿瘤生物标志物和基于关键调控途径的靶向治疗方法。
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来源期刊
Biochemical Genetics
Biochemical Genetics 生物-生化与分子生物学
CiteScore
3.90
自引率
0.00%
发文量
133
审稿时长
4.8 months
期刊介绍: Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.
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