颈部癌（CC）治疗管理中的关键问题包括治疗耐药性和治疗失败。治疗耐药性的发展是一个多方面的、渐进的过程，包括基因和表观遗传异常。本研究旨在鉴定可能导致CC治疗耐药性的基因。我们使用文本挖掘方法创建了一个广泛的耐药性癌基因列表。该列表与TCGA-CESC数据集进行了比较，以鉴定CC中差异表达的治疗耐药性基因（DETRGs）。我们使用在线资源（UALCAN、DNMIVD、cBioPortal、HCMDB、OncoDB、ShinyGO、HPA、KM Plotter、TIMER和DGIdb）来确定DNA甲基化和治疗耐药性基因的表达与CC的预后和临床结果之间的潜在关联性。系统分析发现，91个DETRGs中有71个显示异常的DNA甲基化。重叠分析发现25个基因的甲基化与表达呈负相关。此外，差异表达或甲基化在CC分期、HPV相关性、预测转移和预后方面可能有帮助。研究还鉴定出CC中的七个驱动基因。PPIN鉴定出与CC分期、癌症标志和预后相关的十个枢纽基因（HGs），影响长期生存。我们的彻底调查揭示了几个可能导致CC治疗耐药性的新基因和途径。我们研究中鉴定的基因可能作为CC的生物标志物、预后指示物和治疗靶点。版权所有©Bentham Science Publishers；如有任何疑问，请发送电子邮件至epub@benthamscience.net。

Critical issues in the therapeutic management of cervical cancer (CC) include therapy resistance and treatment failure. The development of therapy resistance is a multifaceted, progressive process, including genetic and epigenetic abnormalities. The present study aimed to identify genes that may contribute to therapy resistance in CC.We have created an extensive list of the genes in cancer that are therapy-resistant using a text-mining approach. The list was compared with the TCGA-CESC dataset to identify the differentially expressed therapy resistance genes (DETRGs) in CC. We used online resources (UALCAN, DNMIVD, cBioPortal, HCMDB, OncoDB, ShinyGO, HPA, KM Plotter, TIMER, and DGIdb) to determine the potential association between methylation and expression of therapy resistance genes with the prognosis and clinical outcomes in CC.The systematic analysis identified 71 out of 91 DETRGs showed aberrant DNA methylation. The overlapping analysis identified 25 genes to show an inverse correlation between methylation and expression. Further, differential expression or methylation could be helpful in CC staging, HPV association, prediction of metastasis and prognosis. The study identified seven driver genes in CC. The PPIN identifies ten hub genes (HGs) associated with CC staging, cancer hallmarks, and prognosis to affect long-term survival.Our thorough investigation uncovered several novel genes and pathways that might contribute to therapy resistance in CC. The genes identified in our study may serve as a biomarker, prognostic indicator, and therapeutic target in CC.Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.