Spatial oncology: Translating contextual biology to the clinic

Area of Science:

• Oncology
• Molecular Biology
• Bioinformatics

Background:

• Histopathology has historically relied on microscopic cell examination within tissue context.
• Single-cell profiling advanced cancer heterogeneity understanding but clinical impact remains limited.
• Spatial technologies offer in situ context by integrating molecular profiling with microenvironmental features.

Purpose of the Study:

• To review the application of spatial tools in studying tumor ecosystems.
• To highlight clinical applications of spatial profiling in oncology.
• To explore strategies for integrating spatial multi-omic data into clinical practice.

Main Methods:

• Review of existing literature on spatial technologies in cancer research.
• Analysis of findings related to cell-cell interactions, microenvironment composition, and tissue remodeling.
• Exploration of multi-omic spatial profiling for clinical feature characterization.

Main Results:

• Spatial tools elucidate cell-cell interactions, microenvironment composition, and tissue remodeling mechanisms in immune evasion and therapeutic resistance.
• Multi-omic spatial profiling identifies clinically relevant features like perineural invasion and tertiary lymphoid structures.
• Spatial data provides critical in situ context for understanding tumor ecosystems.

Conclusions:

• Spatial technologies bridge the gap between molecular insights and clinical care in oncology.
• Integrating spatial multi-omic data can augment diagnostic and therapeutic strategies.
• Understanding the tumor microenvironment through spatial profiling is key for advancing cancer treatment.