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Updated: Jan 27, 2026

Author Spotlight: Cost-Effective Transcriptomic Drug Screening - Unlocking New Targets
Published on: February 23, 2024
Transcriptome Signature Reversion as a Method to Reposition Drugs Against Cancer for Precision Oncology
Karel K M Koudijs1, Anton G T Terwisscha van Scheltinga1, Stefan Böhringer2
1From the Departments of Clinical Pharmacy & Toxicology and.
Abstract:
Transcriptome signature reversion (TSR) has been hypothesized as a promising method for discovery and use of existing noncancer drugs as potential drugs in the treatment of cancer (i.e., drug repositioning, drug repurposing). The TSR assumes that drugs with the ability to revert the gene expression associated with a diseased state back to its healthy state are potentially therapeutic candidates for that disease. This article reviews methodology of TSR and critically discusses key TSR studies. In addition, potential conceptual and computational improvements of this novel methodology are discussed as well as its current and possible future application in precision oncology trials.
Insights
Transcriptome signature reversion (TSR) repurposes non-cancer drugs for cancer treatment by reverting disease-related gene expression. This review explores TSR methodology, studies, and future applications in precision oncology.
Area of Science:
- Oncology
- Pharmacology
- Bioinformatics
Background:
- Transcriptome signature reversion (TSR) is a novel drug repurposing strategy.
- TSR hypothesizes that drugs normalizing disease-associated gene expression may treat the disease.
- This approach offers a promising avenue for identifying novel cancer therapeutics from existing non-cancer drugs.
Purpose of the Study:
- To review the methodology of Transcriptome Signature Reversion (TSR).
- To critically discuss key studies employing TSR for cancer drug discovery.
- To explore potential improvements and future applications of TSR in precision oncology.
Main Methods:
- Literature review of TSR methodology and key studies.
- Critical analysis of TSR's theoretical underpinnings and practical applications.
- Discussion of conceptual and computational advancements for TSR.
Main Results:
- TSR methodology enables the identification of potential therapeutic candidates by analyzing gene expression profiles.
- Existing studies demonstrate the feasibility of TSR in drug repositioning for various diseases, including cancer.
- The review highlights the potential of TSR to accelerate drug discovery and development.
Conclusions:
- TSR is a promising strategy for drug repositioning in oncology.
- Further methodological and computational refinements are needed to optimize TSR.
- TSR holds significant potential for future applications in precision oncology trials.
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