Literature DB >> 18257092

Genetic variation and response to morphine in cancer patients: catechol-O-methyltransferase and multidrug resistance-1 gene polymorphisms are associated with central side effects.

Joy R Ross1, Julia Riley, Annie B Taegetmeyer, Hiroe Sato, Sophy Gretton, Roland M du Bois, Kenneth I Welsh.   

Abstract

BACKGROUND: Pain is a common symptom for patients with cancer, and opioids are the treatment of choice for moderate or severe cancer-related pain. Central side effects, such as drowsiness, confusion, and hallucinations, can limit the use of opioids in clinical practice.
METHODS: The authors prospectively recruited 228 cancer patients who received morphine. Clinical data, including pain and side-effect scores, were correlated with genotype data.
RESULTS: Genetic variation in the multidrug resistance-1 gene (MDR-1) was associated with moderate or severe drowsiness and confusion or hallucinations. Patients who carried the common guanosine (G) allele at position 2677 in exon 26 were less likely to experience drowsiness and confusion or hallucinations than patients who carried the variant thymidine or adenosine alleles, which code for alternate amino-acid substitutions (chi-square statistic, 13.3; P=.0003). In addition, genetic variation in the catechol-O-methyltansferase (COMT) enzyme was associated independently with these central side effects. Single nucleotide polymorphisms (SNPs) in intron 1 were associated significantly with central side effects; the most significant was at position -4873G (chi-square statistic, 9.1; P=.003). SNPs in intron 1, defined as haplotype, were present in 10.4% of the population and were associated significantly with central side effects (chi-square statistic, 7.7; P=.005). Genotype data did not correlate with morphine dose or serum morphine or metabolite concentrations in this study.
CONCLUSIONS: COMT and MDR-1 genotypes were correlated with morphine-related central side effects. The authors believe that this work adds significantly to the current understanding of genetic variants that may influence an individual's response to opioids. Copyright (c) 2008 American Cancer Society.

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Year:  2008        PMID: 18257092     DOI: 10.1002/cncr.23292

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  24 in total

Review 1.  Genetic Variants Associated with Cancer Pain and Response to Opioid Analgesics: Implications for Precision Pain Management.

Authors:  Gee Su Yang; Natalie M Barnes; Debra E Lyon; Susan G Dorsey
Journal:  Semin Oncol Nurs       Date:  2019-05-10       Impact factor: 2.315

Review 2.  Pharmacogenomics of Pain Management: The Impact of Specific Biological Polymorphisms on Drugs and Metabolism.

Authors:  Elyse M Cornett; Michelle A Carroll Turpin; Allison Pinner; Pankaj Thakur; Tamizh Selvan Gnana Sekaran; Harish Siddaiah; Jasmine Rivas; Anna Yates; G Jason Huang; Anitha Senthil; Narjeet Khurmi; Jenna L Miller; Cain W Stark; Richard D Urman; Alan David Kaye
Journal:  Curr Oncol Rep       Date:  2020-02-06       Impact factor: 5.075

Review 3.  Biological pathways and genetic variables involved in pain.

Authors:  Qiuling Shi; Charles S Cleeland; Pål Klepstad; Christine Miaskowski; Nancy L Pedersen
Journal:  Qual Life Res       Date:  2010-09-15       Impact factor: 4.147

4.  Catechol-O-methyltransferase (COMT) gene polymorphisms are associated with baseline disability but not long-term treatment outcome in patients with chronic low back pain.

Authors:  Ahmad Omair; Anne F Mannion; Marit Holden; Jeremy Fairbank; Benedicte A Lie; Olle Hägg; Peter Fritzell; Jens I Brox
Journal:  Eur Spine J       Date:  2015-03-14       Impact factor: 3.134

5.  Analgesia and central side-effects: two separate dimensions of morphine response.

Authors:  Joanne M Droney; Sophy K Gretton; Hiroe Sato; Joy R Ross; Ruth Branford; Kenneth I Welsh; William Cookson; Julia Riley
Journal:  Br J Clin Pharmacol       Date:  2013-05       Impact factor: 4.335

Review 6.  Pharmacology of morphine in obese patients: clinical implications.

Authors:  Célia Lloret Linares; Xavier Declèves; Jean Michel Oppert; Arnaud Basdevant; Karine Clement; Christophe Bardin; Jean Michel Scherrmann; Jean Pierre Lepine; Jean François Bergmann; Stéphane Mouly
Journal:  Clin Pharmacokinet       Date:  2009       Impact factor: 6.447

Review 7.  Genetic contributions to clinical pain and analgesia: avoiding pitfalls in genetic research.

Authors:  Hyungsuk Kim; David Clark; Raymond A Dionne
Journal:  J Pain       Date:  2009-07       Impact factor: 5.820

Review 8.  Tolerance and withdrawal from prolonged opioid use in critically ill children.

Authors:  Kanwaljeet J S Anand; Douglas F Willson; John Berger; Rick Harrison; Kathleen L Meert; Jerry Zimmerman; Joseph Carcillo; Christopher J L Newth; Parthak Prodhan; J Michael Dean; Carol Nicholson
Journal:  Pediatrics       Date:  2010-04-19       Impact factor: 7.124

Review 9.  Migraine pain: reflections against vasodilatation.

Authors:  Alessandro Panconesi; Maria Letizia Bartolozzi; Leonello Guidi
Journal:  J Headache Pain       Date:  2009-06-05       Impact factor: 7.277

10.  Pain management with morphine: variation in analgesic response secondary to genetic polymorphisms.

Authors:  Shailendra Kapoor
Journal:  Ther Clin Risk Manag       Date:  2012-05-21       Impact factor: 2.423

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