ORIGINAL RESEARCH article

Front. Oncol.

Sec. Gynecological Oncology

Volume 15 - 2025 | doi: 10.3389/fonc.2025.1608597

This article is part of the Research TopicThe Insights of Multi-Omics into the Microenvironment After Tumor Metastasis: A Paradigm Shift in Molecular Targeting Modeling and Immunotherapy for Advanced Cancer PatientsView all 8 articles

Analysis of Immune Cell Infiltration in the Tumor Microenvironment of Cervical Cancer and Its Impact on Immunotherapy

Provisionally accepted
Fei  QinFei Qin1Lu  HuanLu Huan2Xia  ShiXia Shi1Yuanyuan  HuaYuanyuan Hua1Yi  WuYi Wu1*
  • 1Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
  • 2Renji Hospital, School of Medicine, Chongqing University, Chongqing, China

The final, formatted version of the article will be published soon.

Cervical cancer remains a leading cause of cancer-related mortality among women worldwide. Despite advances in vaccination and early screening, late-stage diagnoses are common and associated with poor outcomes. This study aimed to identify novel prognostic biomarkers and therapeutic targets through a multi-omics approach, providing insights into the tumor immune microenvironment.We integrated transcriptomic, mutational, and clinical data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) to construct a prognostic model. Differential gene expression, enrichment analysis, immune infiltration profiling, and drug response prediction were performed to explore molecular features and therapeutic relevance.Key high-risk biomarkers (EZH2, PCNA, BIRC5) and protective factors (CD34, ROBO4, CXCL12) were identified. The model effectively stratified patient survival in both cohorts and showed strong predictive performance. High-risk patients displayed distinct immune cell infiltration patterns and upregulated immune checkpoint expression, suggesting potential benefit from immunotherapy. Additionally, higher tumor mutational burden (TMB) was associated with improved survival. Drug sensitivity analysis indicated increased responsiveness of high-risk patients to agents such as Afuresertib and Venetoclax.This study establishes a reliable prognostic model and identifies critical biomarkers associated with cervical cancer progression, offering valuable insights into personalized therapeutic strategies. The findings contribute to a more comprehensive understanding of the disease and provide a foundation for future clinical applications.Nevertheless, further large-scale validation is required to confirm these findings and enhance their clinical utility.

Keywords: cervical cancer, Multi-omics analysis, Immune infiltration, Tumor mutation burden, Tumor Microenvironment

Received: 09 Apr 2025; Accepted: 16 Jun 2025.

Copyright: © 2025 Qin, Huan, Shi, Hua and Wu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Yi Wu, Second Affiliated Hospital, Chongqing Medical University, Chongqing, China

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