Aim: Cancer pain impairs not only physical functions but also social functions and roles. Consequently, the overall health-related quality of life of patients with cancer pain deteriorates. Opioid analgesics are recommended for treating moderate to strong cancer pain. Advances in human genome research have fueled a growing interest to understand individual differences in responsiveness to opioid analgesics. This study aimed to explore and identify novel loci for genes predisposing an individual to opioid analgesic responsiveness. Methods: A total of 71 cancer patients rated their pain on an 11-point numerical rating scale twice before and after increasing opioid analgesics. A genomewide association study focusing on single nucleotide polymorphisms (SNPs) was conducted to associate pain decrease with increased dosage of opioid analgesics based on weight (ie, responsiveness to opioid analgesics). A genomewide significance (P < 5E-8) was set for multiplicity of analyses to control for false positives. Results: Two SNPs passed the genomewide threshold for significance. One exonic SNP (rs1641025) was located in the ABAT [4-aminobutyrate aminotransaminase (GABA transaminase)] gene on chromosome 16. The other SNP (rs12494691) was located on chromosome 3, which was not associated with any known genes. These SNPs were not associated with opioid-related adverse effects. Conclusions: Our results preliminarily suggest that both SNPs might be potential candidate loci for responsiveness to opioid analgesics, and GABA transaminase might be a possible target for developing adjuvant pharmacotherapy with opioid analgesics in adjuvant pharmacotherapy. Our results should be validated in a large-scale study with a larger sample size.
CITATION STYLE
Yokoshima, Y., Sumitani, M., Nishizawa, D., Nagashima, M., Ikeda, K., Kato, R., … Ogata, T. (2018). Gamma-aminobutyric acid transaminase genetic polymorphism is a candidate locus for responsiveness to opioid analgesics in patients with cancer pain: An exploratory study. Neuropsychopharmacology Reports, 38(4), 175–181. https://doi.org/10.1002/npr2.12030
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