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ZENODO
Article . 2020
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2020
License: CC BY
Data sources: Datacite
ZENODO
Article . 2020
License: CC BY
Data sources: Datacite
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An Illustrative Case of Phenoconversion due to Multi-Drug Interactions

Authors: Michaud, V;

An Illustrative Case of Phenoconversion due to Multi-Drug Interactions

Abstract

The study of pharmacogenetics aids in the identification of variable therapeutic responses, identification of adverse reactions to drugs, and supports development and discovery. While advances in pharmacogenetic testing have been significant in recent years, The U.S. Food and Drug Administration (FDA) cautions against using this information solely as the basis to alter therapeutic treatments. In the case presented below, a patient with lung cancer was prescribed the standard dose of codeine for pain control. Pharmacogenetic testing confirmed that she was a normal metabolizer of CYP2D6 (CYP2D6 *1/*1). To manage the patient’s distress, fluoxetine, a high-affinity substrate of CYP2D6 was administered concomitantly. As the patient’s pain control became inadequate, the codeine dose was increased and co-analgesia with flecainide (another high-affinity substrate of CYP2D6) was initiated. The patient began hallucinating and became disoriented and confused. The concomitant administration of these drugs likely resulted in drug-induced phenoconversion. This case highlights the importance of correctly interpreting pharmacogenetic testing and of understanding drug-induced phenoconversion in the CYP450 metabolic pathway.

Keywords

Phenotype, Genotype, Pharmacogenetics, Cytochrome P450, Pharmacogenomics, FOS: Medical biotechnology, Phenoconversion

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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Cancer Research