Developing strategies to predict photodynamic therapy outcome: the role of melanoma microenvironment

Renzo Emanuel Vera1, María Julia Lamberti1, Viviana Alicia Rivarola1

  • 1Biología Molecular, Universidad Nacional de Río Cuarto, Ruta 36 Km 601, Río Cuarto, 5800, Córdoba, Argentina.

Insights

Photodynamic therapy (PDT) shows promise for melanoma treatment. New preclinical models are needed to bridge the gap between lab findings and clinical results for effective melanoma therapy.

Area of Science:

  • Oncology
  • Biomedical Engineering

Background:

  • Melanoma is an aggressive skin cancer with limited treatment options.
  • Photodynamic therapy (PDT) uses photosensitizers and light to generate reactive oxygen species for antitumor effects.

Purpose of the Study:

  • To review existing data on photodynamic therapy for melanoma.
  • To identify limitations in current preclinical models for PDT research.
  • To propose improved experimental platforms for melanoma treatment optimization.

Main Methods:

  • Comparative analysis of in vitro, in vivo, and clinical studies on PDT for melanoma.
  • Review of 3D culture systems and heterotypic cultures mimicking tumor architecture and microenvironment.
  • Literature review of PDT strategies and their efficacy in melanoma models.

Main Results:

  • A significant disconnection exists between in vitro hypotheses and in vivo/clinical outcomes for PDT in melanoma.
  • Tumor microenvironment interactions are critical for melanoma resistance to therapy.
  • 3D and heterotypic culture systems offer more realistic models of tumor biology.

Conclusions:

  • Current preclinical models for PDT in melanoma require enhancement to better reflect tumor complexity.
  • Development of advanced preclinical platforms is crucial for optimizing PDT clinical outcomes.
  • Exploiting tumor-stromal interactions presents a novel therapeutic target for melanoma treatment.