Cho Youngwoo, Karrison Theodore, Jack Matthew M, Choksi Anish R, Knoebel Randall W, Yeo Kiang-Teck J, Volchenboum Samuel L, Szmulewitz Russell Z, Vokes Everett E, Ratain Mark J, O'Donnell Peter H
Committee on Clinical Pharmacology and Pharmacogenomics, University of Chicago, Chicago, IL, USA.
Biostatistics, Department of Health Service, University of Chicago, Chicago, IL, USA.
J Pain Res. 2024 Dec 17;17:4187-4196. doi: 10.2147/JPR.S488416. eCollection 2024.
Cancer patients frequently suffer from pain, often managed with opioids. However, undertreated pain remains a significant concern. Opioid effectiveness varies due to genetic differences in how individuals metabolize some of these medications. While prior research suggests promise in tailoring opioid prescriptions based on genetic makeup, its application in cancer pain management remains limited. This study investigates the potential benefits of preemptive genotyping for cancer patients initiating opioid therapy, focusing on codeine, tramadol, and hydrocodone, whose efficacy is demonstrably impacted by variations.
This is a randomized, prospective study to evaluate the effects of preemptive pharmacogenomic (PGx) testing on opioid dosing decisions/selections and composite pain score in oncology patients. Patients with metastatic solid tumors for whom near-future opioid therapy is anticipated will be randomized to PGx and control arms, stratified by the presence or absence of bony metastases and history of opioid use. In the PGx arm, patients will be preemptively tested using a panel of pharmacogenomic genetic variants, and providers will receive opioid dosing guidance via an electronic medical record-embedded clinical decision support tool. In the control arm, pain prescribing will occur per standard of care without genotype information.
The primary study outcome will be composite pain intensity during the first 45 days after an index opioid prescription for codeine, tramadol, or hydrocodone. Safety will be assessed by comparing opioid-related adverse event rates between the two study arms. Secondary outcomes will include rates of hospitalization/emergency room visits, cumulative morphine equivalents received, and type of first opioid prescribed.
癌症患者经常遭受疼痛折磨,通常使用阿片类药物进行治疗。然而,疼痛治疗不足仍然是一个重大问题。由于个体对某些此类药物代谢方式的基因差异,阿片类药物的疗效各不相同。虽然先前的研究表明根据基因构成调整阿片类药物处方具有前景,但其在癌症疼痛管理中的应用仍然有限。本研究调查了对开始阿片类药物治疗的癌症患者进行预先基因分型的潜在益处,重点关注可待因、曲马多和氢可酮,其疗效明显受到基因变异的影响。
这是一项随机、前瞻性研究,旨在评估预先药物基因组学(PGx)检测对肿瘤患者阿片类药物剂量决策/选择和综合疼痛评分的影响。预计近期将接受阿片类药物治疗的转移性实体瘤患者将被随机分为PGx组和对照组,根据是否存在骨转移和阿片类药物使用史进行分层。在PGx组中,患者将使用一组药物基因组学基因变异进行预先检测,医疗服务提供者将通过嵌入电子病历的临床决策支持工具获得阿片类药物剂量指导。在对照组中,将按照标准治疗方案进行疼痛处方,不考虑基因型信息。
主要研究结果将是首次开具可待因、曲马多或氢可酮阿片类药物处方后45天内的综合疼痛强度。将通过比较两个研究组之间与阿片类药物相关的不良事件发生率来评估安全性。次要结果将包括住院/急诊就诊率、接受的累积吗啡当量以及首次开具的阿片类药物类型。