Biomarkers differentiating regression from progression among untreated cervical intraepithelial neoplasia grade 2 lesions

  • 0Department of Gynecology, The Third Xiangya Hospital, Central South University, 138 Tong Zipo Road, Changsha 410013, P. R. China.

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Summary

This summary is machine-generated.

Identifying biomarkers for cervical intraepithelial neoplasia grade 2 (CIN2) regression is crucial for personalized treatment. This review explores HPV, host genetics, and microenvironment factors to predict CIN2 outcomes, aiming to reduce over-treatment.

Area Of Science

  • Gynecologic oncology
  • Molecular pathology
  • Infectious disease

Background

  • Cervical intraepithelial neoplasia grade 2 (CIN2) has an unpredictable natural history, with lesions potentially progressing to cancer, regressing, or persisting.
  • Current management often involves surgical treatment for most CIN2 cases, leading to potential over-treatment and complications, especially for fertility-sparing management.
  • Identifying biomarkers for CIN2 regression is essential for individualized treatment strategies.

Purpose Of The Study

  • To review and summarize biomarkers that predict the spontaneous regression of CIN2 lesions.
  • To explore factors influencing CIN2 natural history, including human papillomavirus (HPV) and host-related elements.
  • To highlight the need for further validation of potential biomarkers in prospective studies.

Main Methods

  • Literature review of studies on biomarkers for CIN2 regression.
  • Analysis of factors such as HPV genotype, HPV methylation, p16/Ki-67 status, host gene methylation, HLA subtypes, immune microenvironment, and vaginal microbiota.
  • Synthesis of current knowledge on predictive markers for CIN2 outcomes.

Main Results

  • Biomarkers associated with CIN2 regression include HPV infection characteristics, host gene (epi)genetic changes, and alterations in the tumor microenvironment.
  • The interplay of viral, host, and microenvironmental factors influences the clinical course of CIN2.
  • No single biomarker is currently sufficient; a combination of factors may be necessary.

Conclusions

  • Biomarkers correlating with HPV infection, host gene (epi)genetic changes, and microenvironment shifts can predict CIN2 regression.
  • Prospective cohort studies with larger enrollment, longer follow-up, and comprehensive patient tracking are required for biomarker validation.
  • Accurate prediction of CIN2 behavior can guide personalized treatment, avoiding unnecessary interventions and complications.