Identification of prognostic m6A modification patterns and score system in melanoma patients

Feixiang Wang1, Peijie Chen, Si Ouyang

  • 1Medical Oncology Department, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangdong, Guangzhou, China.

Medicine
|April 26, 2024
PubMed

Insights

N6-methyladenosine (m6A) RNA modifications influence melanoma and immune responses. This study defined m6A patterns and developed an m6Ascore to predict patient prognosis and immunotherapy effectiveness.

Area of Science:

  • Oncology
  • Molecular Biology
  • Immunology

Background:

  • N6-methyladenosine (m6A) is the most prevalent RNA modification, crucial for cellular processes including differentiation and immune homeostasis.
  • m6A modifications are increasingly recognized for their roles in cancer development and progression.

Purpose of the Study:

  • To investigate the role of RNA m6A modification in melanoma.
  • To analyze immune cell infiltration within the tumor microenvironment based on m6A modification patterns and scores.
  • To develop a predictive model for prognosis and immunogenicity in melanoma patients.

Main Methods:

  • Consensus clustering of 14 m6A regulators to define m6A modification patterns (m6Aclusters).
  • Construction of an m6A-related gene signature (m6Ascore) using principal component analysis.
  • Analysis of immune cell infiltration, PD-L1 expression, and immunophenoscore (IPS) in relation to m6Aclusters and m6Ascore groups.

Main Results:

  • Three distinct m6Aclusters (A-C) were identified, with m6Acluster A showing a more favorable prognosis and stronger association with immune regulation.
  • An m6Ascore system classified patients into high and low groups; the low m6Ascore group had a favorable prognosis and was linked to enhanced immunology.
  • The low m6Ascore group exhibited higher PD-L1 expression and a stronger predicted response to immunotherapy.

Conclusions:

  • Distinct m6A modification patterns in melanoma are associated with differential immune characteristics.
  • The developed m6Ascore system can predict patient prognosis and immunogenicity, aiding clinical decision-making and personalized treatment strategies.