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Biological Factors behind Melanoma Response to Immune Checkpoint Inhibitors

Magdalena Olbryt1, Marcin Rajczykowski1, Wiesława Widłak1

  • 1Maria Skłodowska-Curie National Research Institute of Oncology, Gliwice Branch, Wybrzeze Armii Krajowej 15, 44-102 Gliwice, Poland.

International Journal of Molecular Sciences
|June 11, 2020
PubMed

Insights

Immunotherapy offers hope for advanced melanoma but faces resistance. Understanding melanoma cell, tumor microenvironment, and patient factors can predict treatment response.

Area of Science:

  • Oncology
  • Immunology
  • Dermatology

Background:

  • Advanced melanoma treatment has been revolutionized by immunotherapy and targeted therapy.
  • Immune checkpoint inhibitors significantly improve survival but are effective in only ~50% of patients.
  • Primary or secondary resistance limits the effectiveness of immunotherapy for many melanoma patients.

Purpose of the Study:

  • To present current data on biological factors influencing melanoma response to immunotherapy.
  • To focus on signaling pathways regulating anti-tumor immune response.
  • To discuss the predictive capacity of these biological factors.

Main Methods:

  • Review of current data on biological factors affecting immunotherapy response.
  • Analysis of factors related to melanoma cells (PD-L1, HLA, mutational load, signaling pathways, epigenetics).
  • Evaluation of tumor microenvironment (inflammatory status, immune cell infiltration) and patient-specific features (metabolome, SNPs).

Main Results:

  • Response to immunotherapy is influenced by melanoma cell characteristics, tumor microenvironment, and patient-specific factors.
  • Key factors include PD-L1 and HLA expression, mutational load, signaling pathway activity, tumor "hot" or "cold" status, and patient metabolome/genetics.
  • Signaling pathways play a crucial role in regulating the anti-tumor immune response.

Conclusions:

  • Biological factors offer potential for predicting melanoma response to immunotherapy.
  • Further research into these factors can help personalize treatment strategies.
  • Understanding resistance mechanisms is key to improving patient outcomes in advanced melanoma.
Keywords:
biomarkers of responseimmune checkpoint inhibitorsimmunotherapymelanoma

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