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November 30, 2025Current Gene Therapy

Identifying Key Epigenetic Modification-Related Genes for Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma and CellularValidation

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Authors

HZHuizhen ZhangJLJunjie LiHXHeng Xu

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Overview

Computational analysis identifies biomarkers and RiskScore in cervical cancer, indicating implications for treatment strategies.

Key Points

  • Key genes were identified through computational analyses and validated via in vitro experiments.
  • RiskScore model stratifies cervical cancer patients into high and low risk based on defined biomarkers.
  • Analysis demonstrated significant enrichment in cell cycle regulatory pathways linked to HPV infection.
  • Findings suggest potential treatment implications for immunotherapy and cancer management in CESC patients.

Cite This Study

Zhang et al. (2025) studied this question.

synapsesocial.com/papers/692b94341d383f2b2a3786f4https://doi.org/10.2174/0115665232432474251103064112
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  3. 3Single-cell analysis identifies PI3+S100A7+ keratinocytes in early cervical squamous cell carcinoma with HPV infection2025
  4. 4Classifying the tumor immune microenvironment in cervical cancer based on nuclear cytoplasmic consistent genes2025
  5. 5Bioinformatics analysis to identify endocrine-disrupting chemicals targeting key ESCC-related genes2025