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Establishing a Longitudinal Opioid Pharmacogenomic Registry for Cancer Patients: Feasibility and Acceptability.

Abstract
Purpose: Individual genetic variation can affect both pain expression and opioid response. Large cohort datasets are required to validate evidence influencing genomic factors in opioid response. This study examined the feasibility of establishing an opioid pharmacogenomics registry for cancer patients containing longitudinal matched clinical, symptom, pharmacological, and genomic data, with an a priori feasibility target of 50 participants within 12 months. Methods: Consecutive patients with advanced cancer receiving opioids across five palliative care services were recruited. Clinical data (demographics, pain data, adverse effects, medications) and blood (DNA, RNA, pharmacokinetics) were collected over two time points. Patient and clinician qualitative interviews were conducted to assess acceptability. This study was approved by the SVHA Ethics Committee, Melbourne, Australia (HREC 252/18). Results: Enrollment for the registry was deemed feasible. Fifty-eight participants were recruited (median age 63.7, 45% female, 83% complete data), with the most frequent diagnosis being lung cancer (n = 18, 33%) and oxycodone the most frequently prescribed opioid (n = 30, 52%). Qualitative data indicated positive engagement from both patients and clinicians. Conclusion: Establishing a longitudinal opioid pharmacogenomic registry in patients with cancer receiving palliative care is feasible and readily acceptable.
AuthorsJennifer Philip, Aaron Wong, Leeanne Pasanen, Andrew A Somogyi, Justin Rubio, Pal Klepstad, Anna Collins, Peter Gibbs, Brian Le
JournalJournal of palliative medicine (J Palliat Med) Vol. 26 Issue 3 Pg. 411-417 (03 2023) ISSN: 1557-7740 [Electronic] United States
PMID36493378 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
Chemical References
  • Analgesics, Opioid
Topics
  • Humans
  • Female
  • Middle Aged
  • Male
  • Analgesics, Opioid (therapeutic use)
  • Pharmacogenetics
  • Feasibility Studies
  • Pain (drug therapy)
  • Neoplasms (drug therapy, genetics)

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