Literature DB >> 28339912

Pharmacogenomics and Patient Treatment Parameters to Opioid Treatment in Chronic Pain: A Focus on Morphine, Oxycodone, Tramadol, and Fentanyl.

Renae A Lloyd1, Elizabeth Hotham1, Catherine Hall2, Marie Williams3, Vijayaprakash Suppiah1.   

Abstract

OBJECTIVE: Opioids are one of the most commonly prescribed medicines for chronic pain. However, their use for chronic pain has been controversial. The objective of this literature review was to identify the role of genetic polymorphisms on patient treatment parameters (opioid dose requirements, response, and adverse effects) for opioids used in malignant and nonmalignant chronic pain. The opioids that this review focuses on are codeine, morphine, oxycodone, tramadol, and fentanyl.
METHOD: A literature search of databases Medline and Embase was carried out, and studies up to April 2016 were included in this review. Studies were included based on a combination of key words: chronic pain and related terms, pharmacogenetics and related terms, and opioids and related terms.
RESULTS: Among the 1,408 individual papers retrieved from the search in Medline and Embase, 32 original articles were included in this review, with none related to codeine. The 32 papers reported various study designs, opioids, and polymorphisms being studied for associations with treatment outcomes. This literature review reveals that variants in ABCB1, OPRM1, and COMT have been replicated for opioid dosing and variants in ABCB1 have been replicated for both treatment response and adverse effects.
CONCLUSIONS: Currently, there are few validated studies to form a strong evidence base to support pharmacogenomics testing when initiating opioid therapy. However, the field of pharmacogenomics in chronic pain is likely to expand over the coming years, with the increasing number of treatment options available and larger cohorts being assembled in order to identify true associations.
© 2017 American Academy of Pain Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com

Entities:  

Keywords:  Chronic Pain; Malignant; Nonmalignant; Opioids; Pharmacogenetics; Pharmacogenomics

Mesh:

Substances:

Year:  2017        PMID: 28339912     DOI: 10.1093/pm/pnw317

Source DB:  PubMed          Journal:  Pain Med        ISSN: 1526-2375            Impact factor:   3.750


  6 in total

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Authors:  Reese Hitchings; Libusha Kelly
Journal:  Trends Pharmacol Sci       Date:  2019-06-03       Impact factor: 14.819

2.  OPRM1, OPRK1, and COMT genetic polymorphisms associated with opioid effects on experimental pain: a randomized, double-blind, placebo-controlled study.

Authors:  Kwo Wei David Ho; Margaret R Wallace; Roland Staud; Roger B Fillingim
Journal:  Pharmacogenomics J       Date:  2019-12-06       Impact factor: 3.550

3.  CYP2D6 genotype can help to predict effectiveness and safety during opioid treatment for chronic low back pain: results from a retrospective study in an Italian cohort.

Authors:  Concetta Dagostino; Massimo Allegri; Valerio Napolioni; Simona D'Agnelli; Elena Bignami; Antonio Mutti; Ron Hn van Schaik
Journal:  Pharmgenomics Pers Med       Date:  2018-10-24

Review 4.  Opioid Addiction, Genetic Susceptibility, and Medical Treatments: A Review.

Authors:  Shao-Cheng Wang; Yuan-Chuan Chen; Chun-Hung Lee; Ching-Ming Cheng
Journal:  Int J Mol Sci       Date:  2019-09-02       Impact factor: 5.923

Review 5.  The Role of Pharmacogenomics in Opioid Prescribing.

Authors:  Aaron K Wong; Andrew A Somogyi; Justin Rubio; Jennifer Philip
Journal:  Curr Treat Options Oncol       Date:  2022-08-24

6.  Acute pain and side effects after tramadol in breast cancer patients: results of a prospective double-blind randomized study.

Authors:  Nikola Besic; Jaka Smrekar; Branka Strazisar
Journal:  Sci Rep       Date:  2020-10-30       Impact factor: 4.379

  6 in total

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