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Updated: Mar 8, 2026
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Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
Published on: April 11, 2016
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Tissue-based next generation sequencing: application in a universal healthcare system.
Seán O Hynes1, Brendan Pang2,3, Jacqueline A James1,4
1Northern Ireland Molecular Pathology Laboratory, Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, Northern Ireland, UK.
British Journal of Cancer
|January 20, 2017
Summary
Next-generation sequencing (NGS) advances personalized medicine for solid tumors by tracking genetic mutations. Integrating NGS into universal healthcare settings is feasible despite resource challenges.
Area of Science:
- Oncology
- Genomics
- Personalized Medicine
Background:
- Cancer therapies are evolving towards personalized medicine, targeting specific genetic mutations in solid tumors.
- Next-generation sequencing (NGS) is crucial for identifying and tracking multiple driving mutations.
- A morphomolecular approach combined with NGS offers potential for personalized cancer treatment.
Purpose of the Study:
- To review the application of NGS in a universal healthcare (UHC) setting.
- To explore the integration of NGS into diagnostic, clinical trial, and research paradigms.
- To propose a unified integromic approach for managing complex genomic data.
Main Methods:
- Review of existing literature on NGS technology and its clinical applications.
- Analysis of challenges in implementing NGS in routine clinical practice, particularly within UHC systems.
- Development of strategies for overcoming barriers such as validation, data handling, and reporting.
Main Results:
- NGS holds significant potential for personalized medicine in solid tumors.
- Challenges in NGS implementation include data management, reporting, and resource limitations in UHC.
- A unified integromic approach can streamline the use of NGS data.
Conclusions:
- The challenges of applying NGS in UHC settings are surmountable.
- Routine application of NGS is feasible across diagnostic, clinical trial, and research settings.
- Further development is needed to optimize NGS workflows for UHC environments.
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