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The Role of Pharmacogenomics in Opioid Prescribing.

Author: PhilipJennifer, RubioJustin, SomogyiAndrew A, WongAaron K

Journal ArticleAn article published in an academic or professional journal that reports original research or scholarly analysis.
ReviewAn article that critically examines existing research on a particular topic and summarizes the current state of knowledge in the field.
Research Support, Non-U.S. Gov'tResearch funding provided by government agencies outside the United States.

Overview

Pharmacogenomics is increasingly important for safe and effective personalized prescribing of opioids. It can maximize drug efficacy and minimize side effects for cancer patients in palliative care. Current evidence suggests that testing for CYP2D6 gene variants is the most clinically actionable for opioid prescribing, though research is expanding to include other gene variants. While pharmacogenomic tests are not widely used, decreasing costs and increasing accessibility will make them more common in the future.
Paper Details　
Original Abstract of the Article :
Pharmacogenomics is increasingly important to guide objective, safe, and effective individualised prescribing. Personalised prescribing has revolutionised treatments in the past decade, allowing clinicians to maximise drug efficacy and minimise adverse effects based on a person's genetic profile. Op...See full text at original site
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引用元：
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526685/

データ提供：米国国立医学図書館（NLM）

Pharmacogenomics and Opioid Prescribing in Palliative Care: A Personalized Approach

The desert of pain management is vast and complex, with each patient's experience being unique. Opioids, often used to manage cancer pain, are powerful tools, but their effects can vary greatly from person to person. Pharmacogenomics, the study of how genes influence drug responses, is emerging as a promising approach to personalize pain management. This review explores the potential of pharmacogenomics to optimize opioid prescribing in palliative care for cancer patients.

The review examines the growing body of research on opioid pharmacogenomics, focusing on how genetic variations can influence drug metabolism and response. The goal is to determine if pharmacogenomic testing can help doctors prescribe opioids more effectively and safely, ensuring optimal pain relief with minimal side effects.

Pharmacogenomics: A New Oasis in the Desert of Pain

The review highlights the potential of pharmacogenomics to improve opioid prescribing in palliative care, potentially leading to better pain management and reduced side effects for cancer patients. This personalized approach can help doctors find the right oasis of relief for each patient, navigating the desert of pain with greater precision.

Navigating the Desert of Pain with Personalized Care

The review emphasizes the importance of ongoing research and collaboration between clinicians and pharmacogenomics experts to further develop and implement personalized opioid prescribing strategies. This collaboration can help pave the way for a future where pain management is more effective, safe, and individualized, ensuring patients find the right oasis of comfort in the desert of pain.

Dr.Camel's Conclusion

This review takes us on a journey through the desert of pain management, exploring the potential of pharmacogenomics to personalize opioid prescribing. By understanding how genes influence drug responses, doctors can tailor opioid treatments to individual needs, potentially improving pain relief and minimizing side effects. It's a reminder that even in the vast desert of pain, there are hidden oases of hope and innovation waiting to be discovered.

Date :
  1. Date Completed 2022-10-04
  2. Date Revised 2022-10-13
Further Info :

Pubmed ID

36001223

DOI: Digital Object Identifier

PMC9526685

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Languages

English

Positive IndicatorAn AI analysis index that serves as a benchmark for how positive the results of the study are. Note that it is a benchmark and requires careful interpretation and consideration of different perspectives.

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