Gene-Expression Programs in Salivary Gland Adenoid Cystic Carcinoma Analyzed Using Single-Cell and Spatial...

Area of Science:

• Oncology
• Molecular Biology
• Genomics

Background:

• Salivary gland adenoid cystic carcinoma (SGACC) is an aggressive cancer with poor outcomes, often involving multiple tumor clones and metastasis.
• Existing research relies on bulk and single-cell RNA sequencing, lacking spatial resolution to understand tumor heterogeneity.
• Understanding the spatial transcriptional landscape is crucial for developing targeted therapies for SGACC.

Purpose of the Study:

• To perform high-resolution spatial transcriptomic analysis of SGACC.
• To characterize cancer cell populations and their microenvironment.
• To identify novel transcriptional signatures and molecular interactions for therapeutic strategies.

Main Methods:

• Analysis of single-cell (n=4) and spatial transcriptomics (n=5) samples using Visum HD at 2μm resolution.
• Multi-omics approach combining single-cell and spatial transcriptomic data.
• Profiling of tumor cell populations, plasma, and T cells within the tumor microenvironment.

Main Results:

• Spatial mapping revealed significant cellular heterogeneity and the influence of tissue environment on transcriptomics.
• Identified key drivers including MYB-NFIB fusion and upregulation of genes in extracellular matrix remodeling and autophagy.
• Detected partial epithelial-mesenchymal transition (P-EMT) in MYB-expressing clusters and alterations in PI3K-AKT, IL-17, and Wnt signaling pathways.

Conclusions:

• Spatial transcriptomics provides critical insights into SGACC's complex regulatory landscape and cellular dynamics.
• Identified novel transcriptional signatures and microenvironmental features not captured by conventional methods.
• Findings offer potential therapeutic vulnerabilities and pave the way for more precise, targeted treatment strategies for SGACC.