Literature DB >> 28456745

OPRM1 Methylation Contributes to Opioid Tolerance in Cancer Patients.

Chi T Viet1, Dongmin Dang1, Bradley E Aouizerat2, Christine Miaskowski3, Yi Ye1, Dan T Viet4, Kentaro Ono1, Brian L Schmidt5.   

Abstract

Cancer patients in pain require high doses of opioids and quickly become opioid-tolerant. Previous studies have shown that chronic cancer pain as well as high-dose opioid use lead to mu-opioid receptor downregulation. In this study we explore downregulation of the mu-opioid receptor gene (OPRM1), as a mechanism for opioid tolerance in the setting of opioid use for cancer pain. We demonstrate in a cohort of 84 cancer patients that high-dose opioid use correlates with OPRM1 hypermethylation in peripheral leukocytes of these patients. We then reverse-translate our clinical findings by creating a mouse cancer pain model; we create opioid tolerance in the mouse cancer model to mimic opioid tolerance in the cancer patients. Using this model we determine the functional significance of OPRM1 methylation on cancer pain and opioid tolerance. We focus on 2 main cells within the cancer microenvironment: the cancer cell and the neuron. We show that targeted re-expression of mu-opioid receptor on cancer cells inhibits mechanical and thermal hypersensitivity, and prevents opioid tolerance, in the mouse model. The resultant analgesia and protection against opioid tolerance are likely due to preservation of mu-opioid receptor expression on the cancer-associated neurons. PERSPECTIVE: We demonstrate that epigenetic regulation of OPRM1 contributes to opioid tolerance in cancer patients, and that targeted gene therapy could treat cancer-induced nociception and opioid tolerance in a mouse cancer model.
Copyright © 2017 American Pain Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Methylation; OPRM1; cancer pain; mu-opioid receptor; opioid tolerance

Mesh:

Substances:

Year:  2017        PMID: 28456745      PMCID: PMC5918413          DOI: 10.1016/j.jpain.2017.04.001

Source DB:  PubMed          Journal:  J Pain        ISSN: 1526-5900            Impact factor:   5.820


  38 in total

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