{"title":"Screening of Hub Genes and Therapeutic Drugs in Cervical Cancer Using Integrated Bioinformatics Analysis.","authors":"Ziruo Talihati, Kayisaier Abudurousuli, Sendaer Hailati, Mengyuan Han, Muhadaisi Nuer, Nawaz Khan, Nulibiya Maihemuti, Jimilihan Simayi, Weiyi Zhang, Wenting Zhou","doi":"10.7150/jca.87027","DOIUrl":null,"url":null,"abstract":"<p><p><b>Objective:</b> Cervical cancer (CC) is one of the most common female malignancies globally. The current study aimed to identify novel hub genes associated with traditional Chinese herbs and investigate their underlying mechanisms using bioinformatics analysis combined with experimental verification. <b>Methods:</b> Expression profiling of 22 samples was obtained from the GEO database. Differential expression analysis was performed using the limma package in R. The Chinese herbal formulas related to the treatment of cervical cancer were searched in the TCMIP database using the keyword \"cervical cancer\". disease targets associated with cervical cancer were retrieved based on six databases, including the DisGeNet, Genecards, CTD, OMIM, GEO, and TTD databases. The database STRING and Cytoscape were utilized to determine candidate hub genes. The hub genes were further investigated using UALCAN, Kaplan‒Meier-plotter databases, Human Protein Atlas, and the AutoDock Vina software. The results of network pharmacology analysis were verified by <i>in vitro</i> experiments. <b>Results:</b> By intersecting the disease targets with the drug targets, we obtained 49 possible therapeutic targets for cervical cancer. Afterward, we analyzed 49 therapeutic targets using the STRING database and the cytoHubba plugin and eventually obtained six hub genes, MYC, HIF1A, TP53, STAT3, CCND1, and AKT1. The final hub genes were indicated to have significant prognostic relevance in cervical cancer. In addition, the six hub genes were molecularly docked with traditional Chinese medicine for cancer, including quercetin, licochalcone a, nobiletin, naringin, and kaempferol. The results also showed that traditional Chinese medicine could decrease the mRNA and protein expressions, suggesting that quercetin, licochalcone a, nobiletin, naringin, and kaempferol can treat CC by inducing cell apoptosis. <b>Conclusions:</b> We identify six genes that can be therapeutic targets for cervical cancer, confirm that quercetin, licochalcone a, nobiletin, naringin, and kaempferol exert therapeutic effects on cervical cancer by regulating apoptosis pathways through <i>in vitro</i> experiments, and provide insights into the molecular mechanisms of the impact of traditional Chinese medicine in cancer treatment.</p>","PeriodicalId":15183,"journal":{"name":"Journal of Cancer","volume":"16 1","pages":"92-109"},"PeriodicalIF":3.3000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11660142/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cancer","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.7150/jca.87027","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: Cervical cancer (CC) is one of the most common female malignancies globally. The current study aimed to identify novel hub genes associated with traditional Chinese herbs and investigate their underlying mechanisms using bioinformatics analysis combined with experimental verification. Methods: Expression profiling of 22 samples was obtained from the GEO database. Differential expression analysis was performed using the limma package in R. The Chinese herbal formulas related to the treatment of cervical cancer were searched in the TCMIP database using the keyword "cervical cancer". disease targets associated with cervical cancer were retrieved based on six databases, including the DisGeNet, Genecards, CTD, OMIM, GEO, and TTD databases. The database STRING and Cytoscape were utilized to determine candidate hub genes. The hub genes were further investigated using UALCAN, Kaplan‒Meier-plotter databases, Human Protein Atlas, and the AutoDock Vina software. The results of network pharmacology analysis were verified by in vitro experiments. Results: By intersecting the disease targets with the drug targets, we obtained 49 possible therapeutic targets for cervical cancer. Afterward, we analyzed 49 therapeutic targets using the STRING database and the cytoHubba plugin and eventually obtained six hub genes, MYC, HIF1A, TP53, STAT3, CCND1, and AKT1. The final hub genes were indicated to have significant prognostic relevance in cervical cancer. In addition, the six hub genes were molecularly docked with traditional Chinese medicine for cancer, including quercetin, licochalcone a, nobiletin, naringin, and kaempferol. The results also showed that traditional Chinese medicine could decrease the mRNA and protein expressions, suggesting that quercetin, licochalcone a, nobiletin, naringin, and kaempferol can treat CC by inducing cell apoptosis. Conclusions: We identify six genes that can be therapeutic targets for cervical cancer, confirm that quercetin, licochalcone a, nobiletin, naringin, and kaempferol exert therapeutic effects on cervical cancer by regulating apoptosis pathways through in vitro experiments, and provide insights into the molecular mechanisms of the impact of traditional Chinese medicine in cancer treatment.
目的:宫颈癌是全球最常见的女性恶性肿瘤之一。本研究旨在利用生物信息学分析和实验验证相结合的方法,发现与中药相关的新型中枢基因,并探讨其作用机制。方法:从GEO数据库中获取22份样本的表达谱。使用r中的limma package进行差异表达分析。以“子宫颈癌”为关键词在tcm数据库中检索与宫颈癌治疗相关的中药方剂。基于DisGeNet、Genecards、CTD、OMIM、GEO和TTD六个数据库检索与宫颈癌相关的疾病靶点。利用数据库STRING和Cytoscape确定候选枢纽基因。使用UALCAN、Kaplan-Meier-plotter数据库、Human Protein Atlas和AutoDock Vina软件进一步研究中心基因。体外实验验证了网络药理分析的结果。结果:通过疾病靶点与药物靶点的交叉,获得了49个宫颈癌可能的治疗靶点。随后,我们使用STRING数据库和cytoHubba插件分析了49个治疗靶点,最终获得了6个枢纽基因:MYC、HIF1A、TP53、STAT3、CCND1和AKT1。最后的枢纽基因被认为与宫颈癌的预后有显著的相关性。此外,这6个中心基因与抗癌中药槲皮素、甘草查尔酮a、野biletin、柚皮素和山奈酚等进行了分子对接。结果还显示,中药可降低细胞mRNA和蛋白的表达,提示槲皮素、甘草查尔酮a、苦皮素、柚皮苷和山奈酚可通过诱导细胞凋亡来治疗CC。结论:我们鉴定出6个可作为宫颈癌治疗靶点的基因,通过体外实验证实槲皮素、甘草查尔酮a、诺比莱素、柚皮苷和山奈酚通过调节细胞凋亡途径对宫颈癌发挥治疗作用,为中医药治疗癌症的分子机制提供了新的思路。
期刊介绍:
Journal of Cancer is an open access, peer-reviewed journal with broad scope covering all areas of cancer research, especially novel concepts, new methods, new regimens, new therapeutic agents, and alternative approaches for early detection and intervention of cancer. The Journal is supported by an international editorial board consisting of a distinguished team of cancer researchers. Journal of Cancer aims at rapid publication of high quality results in cancer research while maintaining rigorous peer-review process.