Multi-omics approach to identifying isoform variants as therapeutic targets in cancer patients

Area of Science:

• Oncology
• Molecular Biology
• Bioinformatics

Background:

• Cancer-specific alternatively spliced events (ASEs) are implicated in cancer development.
• Targeting ASEs offers potential for novel cancer therapies, including immunotherapy and small molecule inhibition.
• Identifying actionable ASE targets is hindered by challenges in predicting protein products, structural impacts, and proteoform functions.

Purpose of the Study:

• To review current multi-omics strategies for characterizing ASEs.
• To highlight limitations and knowledge gaps in existing technologies and analytical methods.
• To discuss future directions for integrating multi-omics data in ASE target discovery.

Main Methods:

• Utilizing transcriptome and proteome data for ASE characterization.
• Employing state-of-the-art algorithms for protein structure prediction.
• Integrating multi-omics data through advanced informatics analytics.

Main Results:

• Multi-omics profiling provides a comprehensive strategy to overcome challenges in identifying actionable ASE targets.
• Current technologies and algorithms offer insights into ASEs but have associated limitations.
• Further integration of multi-omics data is needed for robust ASE target discovery.

Conclusions:

• An integrated multi-omics approach is essential for unlocking the therapeutic potential of cancer-specific ASEs.
• Addressing current technological and analytical gaps will facilitate the discovery of novel ASE-based cancer treatments.
• Future research should focus on synergistic integration of multi-omics data for comprehensive ASE target identification.