Reyes-Gibby Cielito C, Shete Sanjay, Rakvåg Trude, Bhat Samrat V, Skorpen Frank, Bruera Eduardo, Kaasa Stein, Klepstad Pål
Department of Epidemiology, U.T.M.D. Anderson Cancer Center, Houston, TX, USA.
Pain. 2007 Jul;130(1-2):25-30. doi: 10.1016/j.pain.2006.10.023. Epub 2006 Dec 6.
Pain is a complex human trait. It is likely that the interaction of multiple genes, each with a small individual effect, along with the effect of environmental factors, influences the clinical efficacy of opioids rather than a single gene alone. Polymorphisms in genes coding for the mu-opioid receptor (A118G) and catechol-O-methyl transferase (Val158Met) may be important modulators of opioid efficacy. We assessed joint effects of the OPRM1 and COMT genes in predicting morphine dose for cancer pain relief. We used genotype and clinical data from a pharmacokinetic study of morphine in 207 inpatients treated with stable morphine dose for at least 3 days by Palliative Medicine Specialists. Results showed significant variation in morphine dose requirement by genotype groups: carriers of COMT Val/Val and Val/Met genotype required 63% and 23%, respectively, higher morphine dose compared to carriers of Met/Met genotype (p=0.02). Carriers of OPRM1 GG genotype required 93% higher morphine dose compared to carriers of AA genotypes (p=0.012). When we explored for joint effects, we found that carriers of the OPRM1 AA and COMT Met/Met genotype required the lowest morphine dose to achieve pain relief (87 mg/24 h; 95%CI=57,116) and those with neither Met/Met nor AA genotype needed the highest morphine dose (147 mg/24 h; 95%CI=100,180). The significant joint effects for the Met/Met and AA genotypes (p<0.012) persisted, even after controlling for demographic and clinical variables in the multivariable analyses. Future studies are needed to further characterize the joint effects of multiple genes, along with demographic and clinical variables, in predicting opioid dose.
疼痛是一种复杂的人类特征。多个基因之间的相互作用(每个基因的个体效应较小)以及环境因素的影响,可能会影响阿片类药物的临床疗效,而不是单一基因单独起作用。编码μ-阿片受体(A118G)和儿茶酚-O-甲基转移酶(Val158Met)的基因多态性可能是阿片类药物疗效的重要调节因子。我们评估了OPRM1和COMT基因在预测癌症疼痛缓解所需吗啡剂量方面的联合效应。我们使用了来自一项吗啡药代动力学研究的基因型和临床数据,该研究涉及207名住院患者,他们由姑息医学专家给予稳定的吗啡剂量治疗至少3天。结果显示,不同基因型组的吗啡剂量需求存在显著差异:与Met/Met基因型携带者相比,COMT Val/Val和Val/Met基因型携带者所需的吗啡剂量分别高出63%和23%(p=0.02)。与AA基因型携带者相比,OPRM1 GG基因型携带者所需的吗啡剂量高出93%(p=0.012)。当我们探究联合效应时,我们发现OPRM1 AA和COMT Met/Met基因型携带者达到疼痛缓解所需的吗啡剂量最低(87毫克/24小时;95%置信区间=57,116),而既非Met/Met也非AA基因型的患者所需的吗啡剂量最高(147毫克/24小时;95%置信区间=100,180)。即使在多变量分析中控制了人口统计学和临床变量后,Met/Met和AA基因型的显著联合效应(p<0.012)仍然存在。未来需要进一步研究以更全面地描述多个基因与人口统计学和临床变量在预测阿片类药物剂量方面的联合效应。