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Published on: November 15, 2017
Omics Profiling in Precision Oncology
Kun-Hsing Yu1, Michael Snyder2
1From the ‡Department of Genetics, Stanford University School of Medicine, Stanford, California; §Biomedical Informatics Program, Stanford University School of Medicine, Stanford, California.
Abstract:
Cancer causes significant morbidity and mortality worldwide, and is the area most targeted in precision medicine. Recent development of high-throughput methods enables detailed omics analysis of the molecular mechanisms underpinning tumor biology. These studies have identified clinically actionable mutations, gene and protein expression patterns associated with prognosis, and provided further insights into the molecular mechanisms indicative of cancer biology and new therapeutics strategies such as immunotherapy. In this review, we summarize the techniques used for tumor omics analysis, recapitulate the key findings in cancer omics studies, and point to areas requiring further research on precision oncology.
Insights
Precision oncology leverages advanced omics analysis to understand cancer biology. This review covers techniques, key findings, and future research directions for targeted cancer therapies.
Area of Science:
- Oncology
- Genomics
- Proteomics
Background:
- Cancer remains a leading cause of death globally, driving the need for precision medicine.
- High-throughput omics analysis provides deep insights into tumor molecular mechanisms.
- Precision medicine aims to tailor treatments based on individual molecular profiles.
Purpose of the Study:
- To review techniques for tumor omics analysis.
- To summarize key findings from cancer omics studies.
- To identify future research directions in precision oncology.
Main Methods:
- Review of omics analysis techniques (genomics, transcriptomics, proteomics, etc.).
- Synthesis of published cancer omics research findings.
- Analysis of current trends and gaps in precision oncology.
Main Results:
- Omics studies have identified actionable mutations and prognostic biomarkers.
- These studies offer insights into cancer biology and therapeutic strategies like immunotherapy.
- Significant progress has been made in understanding tumor heterogeneity.
Conclusions:
- Omics technologies are crucial for advancing precision oncology.
- Further research is needed to fully realize the potential of omics in cancer treatment.
- Integration of multi-omics data will enhance personalized cancer care.
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