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Defining Gene Functions in Tumorigenesis by Ex vivo Ablation of Floxed Alleles in Malignant Peripheral Nerve Sheath Tumor Cells
Published on: August 25, 2021
Prospects on strategies for therapeutically targeting oncogenic regulatory factors by small-molecule agents
Chih-Chien Chou1, Santosh B Salunke, Samuel K Kulp
1Division of Medicinal Chemistry, College of Pharmacy and Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio.
Abstract:
Although the Human Genome Project has raised much hope for the identification of druggable genetic targets for cancer and other diseases, this genetic target-based approach has not improved productivity in drug discovery over the traditional approach. Analyses of known human target proteins of currently marketed drugs reveal that these drugs target only a limited number of proteins as compared to the whole proteome. In contrast to genome-based targets, mechanistic targets are derived from empirical research, at cellular or molecular levels, in disease models and/or in patients, thereby enabling the exploration of a greater number of druggable targets beyond the genome and epigenome. The paradigm shift has made a tremendous headway in developing new therapeutic agents targeting different clinically relevant mechanisms/pathways in cancer cells. In this Prospects article, we provide an overview of potential drug targets related to the following four emerging areas: (1) tumor metabolism (the Warburg effect), (2) dysregulated protein turnover (E3 ubiquitin ligases), (3) protein-protein interactions, and (4) unique DNA high-order structures and protein-DNA interactions. Nonetheless, considering the genetic and phenotypic heterogeneities that characterize cancer cells, the development of drug resistance in cancer cells by adapting signaling circuitry to take advantage of redundant pathways or feedback/crosstalk systems is possible. This "phenotypic adaptation" underlies the rationale of using therapeutic combinations of these targeted agents with cytotoxic drugs.
Insights
Mechanistic targets, derived from empirical research, offer a broader scope for drug discovery than genome-based approaches. Exploring tumor metabolism, protein turnover, and DNA interactions can lead to novel cancer therapies, potentially combined with cytotoxic drugs to overcome resistance.
Area of Science:
- Oncology
- Pharmacology
- Molecular Biology
Background:
- The Human Genome Project's promise for identifying cancer drug targets has not significantly boosted drug discovery productivity.
- Current drugs target a small fraction of human proteins, limiting the scope of genome-based strategies.
- Mechanistic targets, identified through empirical research in disease models, offer a wider range of druggable targets beyond the genome and epigenome.
Purpose of the Study:
- To explore emerging areas for novel drug target identification in cancer.
- To highlight the shift towards mechanistic targets for improved therapeutic development.
- To discuss potential combination therapies to combat cancer drug resistance.
Main Methods:
- Review of current drug discovery approaches and target identification strategies.
- Analysis of emerging therapeutic areas including tumor metabolism, protein turnover, protein-protein interactions, and DNA-related targets.
- Discussion of cancer cell heterogeneity and mechanisms of drug resistance.
Main Results:
- Mechanistic targets enable exploration beyond the genome and epigenome, expanding druggable target identification.
- Emerging areas like tumor metabolism (Warburg effect), E3 ubiquitin ligases, protein-protein interactions, and DNA structures offer promising therapeutic avenues.
- Cancer cells' genetic and phenotypic heterogeneity can lead to drug resistance through adaptive signaling pathways.
Conclusions:
- A paradigm shift towards mechanistic targets is advancing new therapeutic agents for cancer.
- Targeting novel pathways like tumor metabolism and protein turnover holds significant potential.
- Combination therapies involving targeted agents and cytotoxic drugs are crucial for overcoming cancer drug resistance and improving treatment outcomes.
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