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Archive > Volume 33 Issue 6 > 2026,33(6):678-689. DOI:10.3872/j.issn.1007-385X.2026.06.010 Prev Next
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Comprehensive analysis of an m6A regulator-based prognostic model and its associations with immune infiltration, drug sensitivity, and intercellular communication in cervical cancer
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Abstract:
[Abstract] Objective: To investigate the role of m6A regulators in prognostic evaluation, immune microenvironment characteristics, and treatment response in cervical cancer, to construct a prognostic risk model based on m6A regulators, and to analyze its associations with immune infiltration, drug sensitivity, and intercellular communication. Methods: Transcriptomic data of cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) from the TCGA and GEO databases were used to analyze the expression and mutation profiles of 22 m6A regulators. A prognostic risk model was established using LASSO?Cox regression, and patients were stratified into high? and low?risk groups based on risk scores. Immune cell infiltration and microenvironment characteristics were evaluated using CIBERSORT and ESTIMATE algorithms. Antitumor drug sensitivity was predicted using oncoPredict. Single?cell transcriptomic data (E?MTAB?12305) were integrated to analyze intercellular communication networks using CellChat. Results: A total of 12 differentially expressed m6A regulators were identified in cervical cancer. Patients in the high?risk group showed significantly shorter overall survival (P < 0.05), lower immune scores, and reduced sensitivity to antitumor drugs such as paclitaxel, fluorouracil, and doxorubicin, as indicated by higher IC50 values. Single?cell analysis revealed altered intercellular communication networks in cervical cancer tissues, with interactions between T cells and endothelial/epithelial cells mainly mediated by the CCL5?ACKR1 and MIF?(CD74 + CXCR4) ligand?receptor pairs. Validation of key m6A regulators at the mRNA and protein levels in clinical samples showed that most regulators were significantly more highly expressed in cervical cancer tissues than in healthy human cervical tissues. Conclusion: The m6A regulator-based prognostic signature can effectively predict the prognosis of patients with cervical cancer. The risk score is closely associated with tumor immune infiltration, drug sensitivity, and intercellular communication, providing a novel molecular basis for · · 678 [[PAGE_INDEX=10 FILE=37dae296-6188-4ec2-9b39-45b08e05f9a4.pdf]] 蒋本贵, 等. 基于m6A调控因子的预后模型与宫颈癌免疫浸润、药物敏感性及细胞间通信的综合分析prognostic stratification and personalized therapy in cervical cancer.
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