Single-Cell Multi-Omics: Insights into Therapeutic Innovations to Advance Treatment in Cancer

Area of Science:

• Genomic Medicine
• Cancer Biology
• Biotechnology

Background:

• Single-cell multi-omics advances cancer research by integrating genomic, transcriptomic, epigenomic, and proteomic data.
• These technologies offer deep insights into tumor heterogeneity, microenvironment, and therapeutic resistance mechanisms.
• Current clinical practices often rely on bulk genomic approaches, missing crucial single-cell variations.

Purpose of the Study:

• To review common single-cell multi-omics platforms and data integration analytical steps.
• To highlight emerging knowledge on therapeutic resistance and immune evasion.
• To discuss the potential of single-cell multi-omics for novel therapeutic innovations and future clinical applications.

Main Methods:

• Exploration of established single-cell multi-omics platforms.
• Discussion of analytical strategies for integrating multi-omics data.
• Review of current literature on therapeutic resistance and immune evasion.

Main Results:

• Single-cell multi-omics provides unprecedented resolution into cancer biology.
• Identified key analytical challenges and solutions for data integration.
• Highlighted the role of single-cell multi-omics in understanding and overcoming therapeutic resistance and immune evasion.

Conclusions:

• Single-cell multi-omics is crucial for advancing precision medicine in oncology.
• Bridging technological advancements with clinical implementation is key to improving cancer treatment.
• This review serves as a roadmap for leveraging single-cell multi-omics to enhance patient outcomes.