Characterizing Immune Infiltration in Esthesioneuroblastoma Subtypes Through Gene Expression Deconvolution.

Area of Science:

• Oncology
• Immunology
• Genomics

Background:

• Esthesioneuroblastoma (ENB) is a rare olfactory mucosa cancer with basal and neural genomic subtypes.
• The basal subtype is linked to poorer survival and higher tumor-infiltrating immune cells (TIICs).
• The immune microenvironment differences between ENB subtypes are not well understood.

Purpose of the Study:

• To characterize and compare the immune microenvironment of basal and neural Esthesioneuroblastoma subtypes.
• To identify differences in tumor-infiltrating immune cells (TIICs) between ENB subtypes using transcriptomic data.

Main Methods:

• Utilized the CIBERSORTx machine learning algorithm on RNA sequencing data from 18 ENB cases.
• Characterized 22 distinct immune cell populations to analyze their proportions in basal versus neural ENB.
• Correlated immune cell profiles with clinical and genomic features.

Main Results:

• No significant differences in age, grade, or PD-L1 expression were observed between basal and neural ENB subtypes.
• M2 macrophages, naïve B cells, and CD4 memory resting T cells were the most abundant immune cells overall.
• Activated CD4 memory T cells were elevated in basal ENB, while resting dendritic cells were increased in neural ENB, suggesting distinct immune profiles.

Conclusions:

• Basal and neural ENB subtypes exhibit unique tumor-infiltrating immune cell (TIIC) compositions.
• These immunoprofile differences may contribute to the varying clinical outcomes of ENB subtypes.
• Findings support further research into immunomodulatory strategies for Esthesioneuroblastoma treatment.