Transcriptomics and solid tumors: The next frontier in precision cancer medicine

Area of Science:

• Molecular Biology
• Oncology
• Bioinformatics

Background:

• Transcriptomics offers insights into cancer mechanisms through analysis of RNA transcripts.
• High-throughput technologies facilitate large-scale gene expression profiling for cancer research.
• RNA expression profiling of tumor tissue identifies clinically actionable molecular alterations.

Purpose of the Study:

• To highlight the utility of transcriptomics in precision oncology.
• To demonstrate how transcriptomics enhances biomarker discovery and treatment matching.
• To discuss the integration of transcriptomics with other 'omic' approaches for improved cancer understanding.

Main Methods:

• Analysis of alternative splicing, polyadenylation, fusion transcripts, and noncoding RNAs.
• Gene expression profiling using high-throughput technologies.
• Integration of transcriptomics with genomics in clinical trials like WINTHER.

Main Results:

• Transcriptome analysis, combined with genomics, identified more targetable alterations than genomics alone.
• Noncoding RNAs show potential as predictive and prognostic biomarkers.
• RNA sequencing aids in identifying fusion transcripts and predicting immunotherapy response.

Conclusions:

• Transcriptomics is crucial for advancing precision oncology by identifying molecular targets and biomarkers.
• Further research is needed to address challenges in transcriptomic data analysis, reproducibility, and interpretation.
• Integrating transcriptomics with other 'omic' data will accelerate biomarker discovery and enhance understanding of disease mechanisms.