Molecular subtyping of skin cutaneous melanoma based on inflammatory response
View abstract on PubMed
Summary
This summary is machine-generated.Researchers identified three skin cutaneous melanoma (SKCM) inflammation subtypes. The high inflammation subtype shows a favorable prognosis, while the low inflammation subtype indicates a poor prognosis, aiding clinical decisions.
Area Of Science
- Oncology
- Immunology
- Dermatology
Background
- The inflammatory response significantly impacts skin cutaneous melanoma (SKCM) prognosis and treatment efficacy.
- Molecular subtypes of SKCM based on inflammation are not well-defined, limiting clinical application.
Purpose Of The Study
- To identify and characterize molecular subtypes of SKCM based on inflammatory response gene expression.
- To evaluate the clinical significance and prognostic value of these subtypes and develop a predictive scoring model.
Main Methods
- Clustering analysis of SKCM samples based on inflammation response gene expression.
- Correlation analysis of identified subtypes with clinical outcomes, immune infiltrates, PD-L1 expression, stemness, differentiation, and genomic stability.
- Development of a linear risk scoring model (Inf-score) based on inflammatory gene expression.
Main Results
- Three distinct SKCM subtypes were identified: Inflammation_H, Inflammation_M, and Inflammation_L.
- Inflammation_H subtype demonstrated a favorable prognosis, characterized by high immune infiltrates, PD-L1 expression, differentiation, genomic stability, and low stemness.
- Inflammation_L subtype showed a poor prognosis, with low immune infiltrates, PD-L1 expression, differentiation, genomic stability, and high stemness. The Inf-score effectively predicted prognosis.
Conclusions
- The identified inflammation subtypes provide a more nuanced understanding of SKCM biology and prognosis.
- The Inf-score offers a promising tool for clinicians to assess SKCM prognosis and guide personalized therapeutic strategies.
- Further research is warranted to validate these findings and elucidate the underlying mechanisms of each subtype.

