The Role of Replication Stress-Related Genes in Cervical Cancer Radiotherapy Resistance: A Bioinformatic and Experimental Validation.

IF 4.2 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
Hongyan Qian, Min Tang, Tianqi Wu, Zhouna Sun, Junjie Mao, Juanjuan Cui, Feng Sun, Yunyan Lu, Hua Jin, Aiguo Shen
{"title":"The Role of Replication Stress-Related Genes in Cervical Cancer Radiotherapy Resistance: A Bioinformatic and Experimental Validation.","authors":"Hongyan Qian, Min Tang, Tianqi Wu, Zhouna Sun, Junjie Mao, Juanjuan Cui, Feng Sun, Yunyan Lu, Hua Jin, Aiguo Shen","doi":"10.1016/j.labinv.2025.104244","DOIUrl":null,"url":null,"abstract":"<p><p>Cervical cancer (CC) remains a major global health challenge, with radiotherapy resistance (RR) representing a critical impediment to treatment efficacy. This study investigated the underlying mechanisms of replication stress (RS) in RR and identified potential therapeutic targets for CC. A comprehensive bioinformatics workflow was applied to analyze the expression profiles and prognostic significance of RS-related differentially expressed genes (RSRDs) in patients with RR. The prognostic utility of an RS-based risk score model was subsequently evaluated in the context of the tumor microenvironment, somatic mutation landscape, etc. The clinical relevance of the identified hub RSRDs was validated through immunohistochemistry (IHC), univariate and multivariate Cox regression analyses, and a prognostic nomogram using data from a real-world patient cohort. Functional assays conducted both in vitro and in vivo further confirmed the role of the key RSRD. Thus, enrichment analysis of the 124 common differentially expressed genes showed RS related biological processes were enriched. The RS risk score model, constructed using two hub RSRDs (AXIN1 and CTBP1) identified through LASSO regression, showed strong diagnostic and prognostic performance. Enrichment analysis showed the risk score model influenced CC prognosis by tumor microenvironment and mutation, etc. IHC analysis of tissue microarrays explored a significant downregulation of AXIN1 in RR samples. AXIN1 was also an independent prognosis biomarker for CC patients, particularly among patients receiving radiotherapy. Knock-down of AXIN1 significantly inhibited the radiosensitivity in CC cell lines, and in vivo experiments showed AXIN1 knockdown led to increased tumor volume following radiotherapy. Molecular docking analysis illustrated JQ1 may promote AXIN1 expression. This study is the first to identify AXIN1 as a replication stress associated gene with prognostic value in CC, specifically in the context of radiotherapy. These findings may support personalized treatment strategies and provide a foundation for future investigations into RS-targeted therapies in CC.</p>","PeriodicalId":17930,"journal":{"name":"Laboratory Investigation","volume":" ","pages":"104244"},"PeriodicalIF":4.2000,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Laboratory Investigation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.labinv.2025.104244","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0

Abstract

Cervical cancer (CC) remains a major global health challenge, with radiotherapy resistance (RR) representing a critical impediment to treatment efficacy. This study investigated the underlying mechanisms of replication stress (RS) in RR and identified potential therapeutic targets for CC. A comprehensive bioinformatics workflow was applied to analyze the expression profiles and prognostic significance of RS-related differentially expressed genes (RSRDs) in patients with RR. The prognostic utility of an RS-based risk score model was subsequently evaluated in the context of the tumor microenvironment, somatic mutation landscape, etc. The clinical relevance of the identified hub RSRDs was validated through immunohistochemistry (IHC), univariate and multivariate Cox regression analyses, and a prognostic nomogram using data from a real-world patient cohort. Functional assays conducted both in vitro and in vivo further confirmed the role of the key RSRD. Thus, enrichment analysis of the 124 common differentially expressed genes showed RS related biological processes were enriched. The RS risk score model, constructed using two hub RSRDs (AXIN1 and CTBP1) identified through LASSO regression, showed strong diagnostic and prognostic performance. Enrichment analysis showed the risk score model influenced CC prognosis by tumor microenvironment and mutation, etc. IHC analysis of tissue microarrays explored a significant downregulation of AXIN1 in RR samples. AXIN1 was also an independent prognosis biomarker for CC patients, particularly among patients receiving radiotherapy. Knock-down of AXIN1 significantly inhibited the radiosensitivity in CC cell lines, and in vivo experiments showed AXIN1 knockdown led to increased tumor volume following radiotherapy. Molecular docking analysis illustrated JQ1 may promote AXIN1 expression. This study is the first to identify AXIN1 as a replication stress associated gene with prognostic value in CC, specifically in the context of radiotherapy. These findings may support personalized treatment strategies and provide a foundation for future investigations into RS-targeted therapies in CC.

复制应激相关基因在宫颈癌放疗抵抗中的作用:生物信息学和实验验证。
宫颈癌(CC)仍然是一个主要的全球健康挑战,放射治疗耐药性(RR)是治疗效果的一个严重障碍。本研究探讨了复制应激(RS)在RR中的潜在机制,确定了CC的潜在治疗靶点,并应用综合生物信息学工作流程分析了RR患者中RS相关差异表达基因(RSRDs)的表达谱及其预后意义。基于rs的风险评分模型的预后效用随后在肿瘤微环境,体细胞突变景观等背景下进行了评估。通过免疫组织化学(IHC)、单变量和多变量Cox回归分析以及使用现实世界患者队列数据的预后nomogram来验证所确定的枢纽RSRDs的临床相关性。体外和体内的功能分析进一步证实了关键RSRD的作用。因此,对124个共同差异表达基因的富集分析表明,RS相关的生物过程得到了富集。RS风险评分模型采用LASSO回归确定的两个枢纽RSRDs (AXIN1和CTBP1)构建,显示出较强的诊断和预后性能。富集分析显示,风险评分模型通过肿瘤微环境、突变等因素影响CC预后。组织微阵列的免疫组化分析发现了RR样本中AXIN1的显著下调。AXIN1也是CC患者的独立预后生物标志物,特别是在接受放疗的患者中。敲低AXIN1可显著抑制CC细胞系的放射敏感性,体内实验显示,敲低AXIN1可导致放疗后肿瘤体积增大。分子对接分析表明JQ1可能促进AXIN1的表达。这项研究首次确定了AXIN1是一种复制应激相关基因,在CC中具有预后价值,特别是在放疗的背景下。这些发现可能支持个性化治疗策略,并为未来研究CC的rs靶向治疗提供基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Laboratory Investigation
Laboratory Investigation 医学-病理学
CiteScore
8.30
自引率
0.00%
发文量
125
审稿时长
2 months
期刊介绍: Laboratory Investigation is an international journal owned by the United States and Canadian Academy of Pathology. Laboratory Investigation offers prompt publication of high-quality original research in all biomedical disciplines relating to the understanding of human disease and the application of new methods to the diagnosis of disease. Both human and experimental studies are welcome.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信