ArticlePharmacogenomics and personalized medicine2021
Individualized Drugs' Selection by Evaluation of Drug Properties, Pharmacogenomics and Clinical Parameters: Performance of a Bioinformatic Tool Compared to a Clinically Established Counselling Process.
Article in Pharmacogenomics and personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Machine Learning and Pharmacogenomics at the Time of Precision Psychiatry.Current neuropharmacology · 2023Pooled it
- Evaluation of Drug-Drug Interactions Using Drug-PIN® in Patients Receiving Avelumab Maintenance for Advanced Urothelial Carcinoma: Evidence from the MALVA Study (Meet-URO 25).Oncology and therapy · 2026Article
- Review
- Impact of Drug-Drug Interactions on Clinical Outcomes in Metastatic Melanoma Patients Treated With Combined BRAF/MEK Inhibitors: A Real-World Study.Pigment cell & melanoma research · 2025Observational
- Clinical impact of drug-drug interactions on abemaciclib in the real-world experience of AB-ITALY study.NPJ breast cancer · 2024Article
- Drug-Drug Interactions Involving Dexamethasone in Clinical Practice: Myth or Reality?Journal of clinical medicine · 2023Review
- Diazepam diminishes temozolomide efficacy in the treatment of U87 glioblastoma cell line.CNS neuroscience & therapeutics · 2022Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeInefficacy and safety concerns are main medications' problems, especially in the case of poly-therapies, when drug-drug interactions may alter the expected drug disposition. Ongoing efforts are aimed to establish drug selection processes aimed to preemptive evaluation of a plethora of factors affecting patient's specific drug response, including pharmacogenomic markers, in order to minimize prescription of improper medications. In previous years, we established at the University Hospital Sant'Andrea of Rome, Italy, a Precision Medicine Service based on a multi-disciplinary experts' team. The team is in charge to produce a drug therapy counselling report, including pharmacogenomic, pharmacokinetic and pharmacodynamic considerations. In this study, we aimed to evaluate the performance of this established "manual" process of therapy selection with a novel bioinformatic tool, the Drug-PIN system. PATIENTS AND
methodsA total of 200 patients diagnosed with Major Depressive Disorders or a depressive episode in Bipolar Disorder, with at least three previous failed treatments, who underwent pharmacogenomic profiling and therapy counselling in the Sant'Andrea Hospital from 2017 to 2020. The baseline poly-therapy of these patients was re-evaluated and optimized by Drug-PIN. Results of the Drug-PIN poly-therapy evaluation/optimization were compared with the results of the original poly-therapy evaluation/optimization by therapy counselling. To compare the results between the two processes, the risk associated with each poly-therapy was classified as low, moderate, or high.
resultsThe number of baseline poly-therapies classified in low-, moderate- or high-risk did not change significantly between manual system or Drug-PIN system. As the counselling process, also the Drug-PIN system produces a significant decrease in the predicted treatment-associated risk.
conclusionDrug-PIN substantially replicates the output of the counselling process, allowing a substantial reduction in the time needed for therapy evaluation. Availability of an effective bioinformatic tool for proper drug selection is expected to exponentially increase the actuation of targeted therapy strategies.
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