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Crossroad between linear and nonlinear transcription concepts in the discovery of next-generation sequencing
1Centre for Biosystems and Genomic Network Medicine and Research & Innovation Commission of Ioannina University, School of Medicine, Ioannina, Greece; Hellenic Genomic Center and Systems Biology Unit of Biomedical Research Foundation of the Academy of Athens (BRFAA), Athens, Greece.
Abstract:
The unprecedented potential of standard and new next-generation sequencing applications and methods to explore cancer genome evolution and tumor heterogeneity as well as transcription networks in time and space shapes the development of next-generation therapeutics. However, biomedical and pharmaceutical research for overcoming heterogeneity-based therapeutic resistance is at an important crossroads. Focus on linear transcription-based drug development targeting dynamics of simple intrapatient structured genome diversity represents a realistic medium-term goal. By contrast, the discovery of nonlinear transcription drugs for targeting structural and functional genome and transcriptome heterogeneity represents a long-term rational strategy. This review compares effectiveness, challenges and expectations between linear and nonlinear drugs targeting simple intrapatient variation and aberrant transcriptional biocircuits, respectively.
Insights
Next-generation sequencing advances cancer research, but therapeutic resistance remains a challenge. This review explores linear and nonlinear drug development strategies for targeting cancer genome evolution and heterogeneity.
Area of Science:
- Genomics
- Cancer Biology
- Pharmacology
Background:
- Next-generation sequencing (NGS) offers unprecedented potential for understanding cancer genome evolution, tumor heterogeneity, and transcriptional networks.
- Overcoming heterogeneity-based therapeutic resistance is a critical challenge in biomedical and pharmaceutical research.
- Current research stands at a crossroads regarding effective therapeutic strategies against complex cancer biology.
Purpose of the Study:
- To compare the effectiveness, challenges, and expectations of linear and nonlinear drug development approaches.
- To evaluate strategies targeting simple intrapatient genome diversity versus complex transcriptional heterogeneity.
- To provide a rational framework for future therapeutic development in oncology.
Main Methods:
- Review of existing literature on next-generation sequencing applications in cancer research.
- Comparative analysis of linear and nonlinear drug development paradigms.
- Evaluation of therapeutic resistance mechanisms driven by intrapatient variation and aberrant transcriptional biocircuits.
Main Results:
- Linear drug development, targeting simple intrapatient genome diversity, presents a realistic medium-term goal.
- Nonlinear drug development, targeting structural and functional genome/transcriptome heterogeneity, represents a long-term rational strategy.
- Significant challenges exist in both approaches, particularly in addressing complex tumor heterogeneity.
Conclusions:
- A dual approach focusing on both linear and nonlinear drug development is necessary for comprehensive cancer therapy.
- Future research should prioritize understanding and targeting aberrant transcriptional biocircuits for robust therapeutic outcomes.
- Bridging the gap between current capabilities and long-term strategies is crucial for overcoming therapeutic resistance.
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