The molecular characteristics of recurrent/metastatic HPV-positive head and neck squamous cell carcinoma: A systematic review of the literature

  • 0Department of Otorhinolaryngology, Head and Neck Surgery, LMU Klinikum, Munich, Germany.

Summary

This summary is machine-generated.

Recurrent/metastatic HPV-positive HNSCC shows distinct molecular profiles, including TP53 mutations. Circulating HPV DNA (ctHPVDNA) shows promise for monitoring recurrence and treatment response in these patients.

Area Of Science

  • Oncology
  • Molecular Biology
  • Genetics

Background

  • Approximately 17% of human papillomavirus (HPV)-positive head and neck squamous cell carcinoma (HNSCC) patients experience recurrence.
  • Recurrent or metastatic disease in HPV-positive HNSCC is often considered incurable.
  • Understanding the molecular landscape is crucial for developing effective treatments.

Purpose Of The Study

  • To provide an overview of the molecular landscape of recurrent/metastatic HPV-positive HNSCC.
  • To identify novel molecular biomarkers for this patient subset.
  • To review emerging treatment options.

Main Methods

  • A critical qualitative systematic literature review was conducted.
  • Searched for studies on molecular characteristics, biomarkers, and treatments for recurrent/metastatic HPV-positive HNSCC.
  • Data extraction and quality assessment performed by three independent assessors, with final search in February 2023.

Main Results

  • Recurrent/metastatic HPV-positive HNSCC exhibits higher TP53 mutation rates and genomic similarity to HPV-negative HNSCC.
  • Circulating tumor HPV DNA (ctHPVDNA) shows promise as a biomarker for monitoring treatment response and recurrence.
  • Emerging targeted therapies (e.g., EGFR inhibitors) and combination immunotherapies are under investigation.

Conclusions

  • Recurrent/metastatic HPV-positive HNSCC has distinct molecular profiles.
  • ctHPVDNA testing holds clinical potential for routine practice in monitoring.
  • Further controlled, longitudinal studies are needed to identify additional targets and validate novel biomarkers.

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