Literature DB >> 18541635

Variable response to opioid treatment: any genetic predictors within sight?

F Skorpen1, E A Laugsand, P Klepstad, S Kaasa.   

Abstract

The aim of this literature review is to summarize and discuss the available evidence for a relationship between polymorphisms in human genes and variability in opioid analgesia and side effects among patients treated for moderate or severe pain. The evidence supporting a role of certain alleles, genotypes or haplotypes in modulation of opioid analgesia is derived from a limited number of studies, a limited number of genes and a limited number of opioids. Although several interesting candidates have emerged as potentially relevant factors, only for one polymorphism, the prevalent 118A>G of the micro-opioid receptor, the accumulated evidence is sufficient to suggest a clinically relevant effect for an opioid used for moderate or severe pain. Still the data are valid only at the group level and cannot be used to predict treatment outcome in individual patients. Only a few of the symptoms often seen as opioid adverse effects in palliative care, such as nausea, vomiting, constipation and sedation, have been associated with genetic variants in various genes, but the results have been based on case reports, healthy volunteers or post-operative patients. So far, there is no clear evidence that genetic markers can be used to predict opioid efficacy or adverse effects in palliative care patients. This reflects the general lack of studies performed in the context of palliative care, the lack of sufficiently scaled studies and the lack of international standards for the assessment of subjective symptoms.

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Year:  2008        PMID: 18541635     DOI: 10.1177/0269216308089302

Source DB:  PubMed          Journal:  Palliat Med        ISSN: 0269-2163            Impact factor:   4.762


  10 in total

1.  Buprenorphine signalling is compromised at the N40D polymorphism of the human μ opioid receptor in vitro.

Authors:  Alisa Knapman; Marina Santiago; Mark Connor
Journal:  Br J Pharmacol       Date:  2014-09       Impact factor: 8.739

Review 2.  Cellular signalling of non-synonymous single-nucleotide polymorphisms of the human μ-opioid receptor (OPRM1).

Authors:  Alisa Knapman; Mark Connor
Journal:  Br J Pharmacol       Date:  2014-07-01       Impact factor: 8.739

3.  A6V polymorphism of the human μ-opioid receptor decreases signalling of morphine and endogenous opioids in vitro.

Authors:  Alisa Knapman; Marina Santiago; Mark Connor
Journal:  Br J Pharmacol       Date:  2015-03-17       Impact factor: 8.739

Review 4.  Pharmacologic management of the opioid neonatal abstinence syndrome.

Authors:  Walter K Kraft; John N van den Anker
Journal:  Pediatr Clin North Am       Date:  2012-08-30       Impact factor: 3.278

Review 5.  OPRM1 SNP (A118G): involvement in disease development, treatment response, and animal models.

Authors:  Stephen D Mague; Julie A Blendy
Journal:  Drug Alcohol Depend       Date:  2010-01-13       Impact factor: 4.492

6.  Pharmacogenomic considerations in the opioid management of pain.

Authors:  Paul J Jannetto; Nancy C Bratanow
Journal:  Genome Med       Date:  2010-09-15       Impact factor: 11.117

7.  Recent advances in the use of opioids for cancer pain.

Authors:  Joanne Droney; Julia Riley
Journal:  J Pain Res       Date:  2009-09-23       Impact factor: 3.133

8.  Haplotype block structure of the genomic region of the mu opioid receptor gene.

Authors:  Orna Levran; Olaoluwakitan Awolesi; Shirley Linzy; Miriam Adelson; Mary Jeanne Kreek
Journal:  J Hum Genet       Date:  2010-12-16       Impact factor: 3.172

9.  Genetic and Non-genetic Factors Associated With Constipation in Cancer Patients Receiving Opioids.

Authors:  Eivor A Laugsand; Frank Skorpen; Stein Kaasa; Rainer Sabatowski; Florian Strasser; Peter Fayers; Pål Klepstad
Journal:  Clin Transl Gastroenterol       Date:  2015-06-18       Impact factor: 4.488

10.  Prospective observational pharmacogenetic study of side effects induced by intravenous morphine for postoperative analgesia.

Authors:  Li-Kuei Chen; Mao-Hsien Wang; Hong-Jyh Yang; Shou-Zen Fan; Shiou-Sheng Chen
Journal:  Medicine (Baltimore)       Date:  2017-06       Impact factor: 1.889

  10 in total

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