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Published on: April 11, 2016
Transcriptomics and solid tumors: The next frontier in precision cancer medicine
Apostolia M Tsimberidou1, Elena Fountzilas2, Leonidas Bleris3
1The University of Texas MD Anderson Cancer Center, Department of Investigational Cancer Therapeutics, Houston, TX, USA.
Abstract:
Transcriptomics, which encompasses assessments of alternative splicing and alternative polyadenylation, identification of fusion transcripts, explorations of noncoding RNAs, transcript annotation, and discovery of novel transcripts, is a valuable tool for understanding cancer mechanisms and identifying biomarkers. Recent advances in high-throughput technologies have enabled large-scale gene expression profiling. Importantly, RNA expression profiling of tumor tissue has been successfully used to determine clinically actionable molecular alterations. The WINTHER precision medicine clinical trial was the first prospective trial in diverse solid malignancies that assessed both genomics and transcriptomics to match treatments to specific molecular alterations. The use of transcriptome analysis in WINTHER and other trials increased the number of targetable -omic changes compared to genomic profiling alone. Other applications of transcriptomics involve the evaluation of tumor and circulating noncoding RNAs as predictive and prognostic biomarkers, the improvement of risk stratification by the use of prognostic and predictive multigene assays, the identification of fusion transcripts that drive tumors, and an improved understanding of the impact of DNA changes as some genomic alterations are silenced at the RNA level. Finally, RNA sequencing and gene expression analysis have been incorporated into clinical trials to identify markers predicting response to immunotherapy. Many issues regarding the complexity of the analysis, its reproducibility and variability, and the interpretation of the results still need to be addressed. The integration of transcriptomics with genomics, proteomics, epigenetics, and tumor immune profiling will improve biomarker discovery and our understanding of disease mechanisms and, thereby, accelerate the implementation of precision oncology.
Insights
Transcriptomics, the study of RNA transcripts, aids in understanding cancer and finding biomarkers. Integrating transcriptomics with other
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.
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