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Reviewing vulvar Paget's disease molecular bases. Looking forward to personalized target therapies: a matter of

Giulia Mantovani1, Anna Fagotti2,3, Massimo Franchi4

  • 1Department of Obstetrics and Gynecology, Università degli Studi di Verona, Verona, Italy giuliamanto86@gmail.com.

Abstract

Insights

This review highlights molecular markers in vulvar Paget's disease (VPD) that could guide targeted therapies. Further research and centralized patient data are crucial for developing effective treatments for this rare cancer.

Area of Science:

  • Oncology
  • Molecular Biology
  • Dermatology

Background:

  • Vulvar Paget's disease (VPD) is a rare gynecological malignancy.
  • Understanding the molecular underpinnings of VPD is essential for developing targeted therapies.
  • VPD is often considered an 'orphan' tumor, necessitating specialized research and treatment approaches.

Purpose of the Study:

  • To review the published literature on the molecular bases of vulvar Paget's disease.
  • To identify molecular markers that can inform tailored treatment strategies for VPD.
  • To highlight the need for further research and clinical trials in VPD.

Main Methods:

  • A systematic literature search was conducted using MEDLINE-PubMed and Scopus.
  • Search terms included "extramammary," "Paget's," and "molecular" related keywords.
  • Inclusion criteria focused on peer-reviewed, English-language articles from the last 30 years addressing specific research questions.

Main Results:

  • Forty-two studies were selected for review.
  • Molecular markers associated with cell cycle regulation may predict prognosis and guide conventional treatments.
  • Preliminary data suggest potential for targeted therapies based on hormonal receptor expression, ERBB2 amplification/overexpression, and abnormal vascular proliferation.
  • Immunotherapy targets, including PD-L1 expression and mismatch repair defects, are underexplored but hold promise.

Conclusions:

  • Further characterization of molecular aspects of VPD is required.
  • Centralizing patients in dedicated units can facilitate data collection and clinical trials.
  • Development of interdisciplinary study platforms within multicentric networks is recommended.

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