Reham M Alahmadi, Halah Z Al Rawi, Maaweya Awadalla, Bashayer Saeed, Basma Abdelazeem, Huda M Alshanbari, Bandar Alosaimi
{"title":"Crosstalk Between Immunity and Oncogenes Within the Tumor Microenvironment of HPV-Associated Cervical Squamous Cell Carcinoma.","authors":"Reham M Alahmadi, Halah Z Al Rawi, Maaweya Awadalla, Bashayer Saeed, Basma Abdelazeem, Huda M Alshanbari, Bandar Alosaimi","doi":"10.2147/OTT.S537872","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Every two minutes, a woman dies from cervical cancer, which is considered the fourth most common cancer among women worldwide. The dynamic interplay between tumor inflammation, immune crosstalk, oncogenes, and tumor suppressor genes plays a crucial role in tumor development and progression.</p><p><strong>Methods: </strong>Using clinical and integrated bioinformatics, the mRNA expression pattern of 168 immune and tumor-related genes in the tumor microenvironment (TME) of HPV-positive cervical squamous cell carcinoma (CSCC) was analyzed.</p><p><strong>Results: </strong>The study identified 94 DEGs, of which 55 genes were remarkably upregulated, including CASP8, ZHX2, BCL2L1, CTNNB1, RB1, BAX, CD274, CCL20, FOXP3, and CCL18. The top three-fold changes were associated with CASP8, ZHX2, and BCL2L1, respectively. In contrast, downregulation was discovered for 39 genes associated with immunity, regulation of cell cycle, and DNA damage response (HRAS, CCND1, ATM, CXCR1, and MIF). Gene-gene interaction and correlation analysis showed positive correlations, including RB1 and CASP8, RB1 and BCL2L1, and CCL20 with CCL18. Notably, six genes exhibited increased expression and showed a strong correlation with enhanced overall survival (OS) and disease-free survival (DFS), indicating their potential utility as prognostic biomarkers. Upregulated genes were positively associated with various immune cells, including B cells, CD8+ and CD4+ T cells, macrophages, neutrophils, and dendritic cells. Functional enrichment analysis revealed involvement in cancer-related processes, inflammatory responses, and cell migration, with key pathways linked to cytokine signaling and chemokine receptor interactions.</p><p><strong>Discussion: </strong>Through the integration of clinical, experimental, and computational analyses, potential therapeutic targets and prognostic biomarkers were identified that may help improve clinical outcomes. Future studies should focus on the functional assays of identified genes both in vitro and in vivo.</p>","PeriodicalId":19534,"journal":{"name":"OncoTargets and therapy","volume":"18 ","pages":"899-920"},"PeriodicalIF":2.8000,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12363556/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"OncoTargets and therapy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/OTT.S537872","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: Every two minutes, a woman dies from cervical cancer, which is considered the fourth most common cancer among women worldwide. The dynamic interplay between tumor inflammation, immune crosstalk, oncogenes, and tumor suppressor genes plays a crucial role in tumor development and progression.
Methods: Using clinical and integrated bioinformatics, the mRNA expression pattern of 168 immune and tumor-related genes in the tumor microenvironment (TME) of HPV-positive cervical squamous cell carcinoma (CSCC) was analyzed.
Results: The study identified 94 DEGs, of which 55 genes were remarkably upregulated, including CASP8, ZHX2, BCL2L1, CTNNB1, RB1, BAX, CD274, CCL20, FOXP3, and CCL18. The top three-fold changes were associated with CASP8, ZHX2, and BCL2L1, respectively. In contrast, downregulation was discovered for 39 genes associated with immunity, regulation of cell cycle, and DNA damage response (HRAS, CCND1, ATM, CXCR1, and MIF). Gene-gene interaction and correlation analysis showed positive correlations, including RB1 and CASP8, RB1 and BCL2L1, and CCL20 with CCL18. Notably, six genes exhibited increased expression and showed a strong correlation with enhanced overall survival (OS) and disease-free survival (DFS), indicating their potential utility as prognostic biomarkers. Upregulated genes were positively associated with various immune cells, including B cells, CD8+ and CD4+ T cells, macrophages, neutrophils, and dendritic cells. Functional enrichment analysis revealed involvement in cancer-related processes, inflammatory responses, and cell migration, with key pathways linked to cytokine signaling and chemokine receptor interactions.
Discussion: Through the integration of clinical, experimental, and computational analyses, potential therapeutic targets and prognostic biomarkers were identified that may help improve clinical outcomes. Future studies should focus on the functional assays of identified genes both in vitro and in vivo.
期刊介绍:
OncoTargets and Therapy is an international, peer-reviewed journal focusing on molecular aspects of cancer research, that is, the molecular diagnosis of and targeted molecular or precision therapy for all types of cancer.
The journal is characterized by the rapid reporting of high-quality original research, basic science, reviews and evaluations, expert opinion and commentary that shed novel insight on a cancer or cancer subtype.
Specific topics covered by the journal include:
-Novel therapeutic targets and innovative agents
-Novel therapeutic regimens for improved benefit and/or decreased side effects
-Early stage clinical trials
Further considerations when submitting to OncoTargets and Therapy:
-Studies containing in vivo animal model data will be considered favorably.
-Tissue microarray analyses will not be considered except in cases where they are supported by comprehensive biological studies involving multiple cell lines.
-Biomarker association studies will be considered only when validated by comprehensive in vitro data and analysis of human tissue samples.
-Studies utilizing publicly available data (e.g. GWAS/TCGA/GEO etc.) should add to the body of knowledge about a specific disease or relevant phenotype and must be validated using the authors’ own data through replication in an independent sample set and functional follow-up.
-Bioinformatics studies must be validated using the authors’ own data through replication in an independent sample set and functional follow-up.
-Single nucleotide polymorphism (SNP) studies will not be considered.