Crossroad between linear and nonlinear transcription concepts in the discovery of next-generation sequencing systems-based anticancer therapies

Drug Discovery Today
Dimitrios H Roukos

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.

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Citations

May 5, 2016·Expert Review of Gastroenterology & Hepatology·Demosthenes E ZiogasDimitrios H Roukos
Jun 25, 2016·Biomarkers in Medicine·Demosthenes E ZiogasDimitrios H Roukos
Sep 2, 2016·Future Oncology·Demosthenes E ZiogasDimitrios H Roukos
Feb 22, 2017·Molecular Informatics·Maria A Miteva, Bruno O Villoutreix
May 12, 2017·Future Oncology·Georgios K GlantzounisDimitrios H Roukos
Jan 21, 2017·International Journal of Molecular Sciences·Ioannis D KyrochristosDimitrios H Roukos
Oct 24, 2018·Pharmacogenomics·Ioannis D KyrochristosDimitrios H Roukos
Nov 1, 2018·Biomarkers in Medicine·Demosthenes E ZiogasDimitrios H Roukos
Sep 12, 2019·Personalized Medicine·Persefoni AntoniouDimitrios H Roukos
Nov 13, 2018·Medicinal Research Reviews·Ioannis D KyrochristosDimitrios H Roukos
Nov 6, 2018·Personalized Medicine·Ioannis D KyrochristosDimitrios H Roukos

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