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Literature record

Crosstalk Between Immunity and Oncogenes Within the Tumor Microenvironment of HPV-Associated Cervical Squamous Cell Carcinoma.

PMID 40836929 | PMCID PMC12363556 | DOI 10.2147/OTT.S537872 · OncoTargets and therapy · 2025

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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.

Validated evidence

TypeEntitySource evidenceConfidenceExtractor
geneCASP8“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.”0.98hgnc_dict_v1
geneZHX2“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.”0.98hgnc_dict_v1
geneBCL2L1“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.”0.98hgnc_dict_v1
geneCTNNB1“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.”0.98hgnc_dict_v1
geneRB1“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.”0.98hgnc_dict_v1
geneBAX“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.”0.98hgnc_dict_v1
geneCD274“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.”0.98hgnc_dict_v1
geneCCL20“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.”0.98hgnc_dict_v1
geneFOXP3“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.”0.98hgnc_dict_v1
geneCCL18“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.”0.98hgnc_dict_v1
geneHRAS“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).”0.98hgnc_dict_v1
geneCCND1“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).”0.98hgnc_dict_v1
geneATM“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).”0.98hgnc_dict_v1
geneCXCR1“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).”0.98hgnc_dict_v1
geneMIF“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).”0.98hgnc_dict_v1
geneCD4“Upregulated genes were positively associated with various immune cells, including B cells, CD8+ and CD4+ T cells, macrophages, neutrophils, and dendritic cells.”0.98hgnc_dict_v1