Differential Expression of Autophagy-Related Long Non-Coding RNA in Melanoma

Area of Science:

• Oncology
• Molecular Biology
• Genetics

Background:

• Melanoma pathogenesis involves complex genetic and molecular mechanisms.
• Autophagy-related genes and long non-coding RNAs (lncRNAs) play crucial roles in cancer development.
• Understanding these roles is vital for improving melanoma prognosis and treatment.

Purpose of the Study:

• To investigate the role of autophagy-related differential lncRNAs in melanoma pathogenesis.
• To establish a prognostic prediction model for melanoma patients based on autophagy-related gene expression.
• To evaluate the relationship between autophagy-related genes, immune cell infiltration, and patient outcomes.

Main Methods:

• Utilized The Cancer Genome Atlas and GeneCard databases.
• Employed single-sample gene set enrichment analysis (ssGSEA) and weighted gene co-expression network analysis (WGCNA).
• Performed COX proportional hazard regression and enrichment analysis to identify key lncRNAs and pathways.

Main Results:

• Developed a prognostic model based on 6 significantly related autophagy-related lncRNAs.
• Identified distinct biological pathways and immune cell infiltration patterns between high- and low-risk groups.
• Validated the model's effectiveness in predicting prognosis across 3 independent datasets.

Conclusions:

• Autophagy-related lncRNAs are significant factors in melanoma.
• The developed model effectively predicts overall survival in melanoma patients.
• These findings provide a basis for novel prognostic strategies in melanoma.