CYP2D6-guided opioid therapy for adults with cancer pain: A randomized implementation clinical trial.

INTRODUCTION: The CYP2D6 enzyme metabolizes opioids commonly prescribed for cancer-related pain, and CYP2D6 polymorphisms may contribute to variability in opioid response. We evaluated the feasibility of implementing CYP2D6-guided opioid prescribing for patients with cancer and reported pilot outcome data. METHODS: Adult patients from two cancer centers were prospectively enrolled into a hybrid implementation-effectiveness clinical trial and randomized to CYP2D6-genotype-guided opioid selection, with clinical recommendations, or usual care. Implementation metrics, including provider response, medication changes consistent with recommendations, and patient-reported pain and symptom scores at baseline and up to 8 weeks, were assessed. RESULTS: Most (87/114, 76%) patients approached for the study agreed to participate. Of 85 patients randomized, 71% were prescribed oxycodone at baseline. The median (range) time to receive CYP2D6 test results was 10 (3-37) days; 24% of patients had physicians acknowledge genotype results in a clinic note. Among patients with CYP2D6-genotype-guided recommendations to change therapy (n = 11), 18% had a change congruent with recommendations. Among patients who completed baseline and follow-up questionnaires (n = 48), there was no difference in change in mean composite pain score (-1.01 ± 2.1 vs. -0.41 ± 2.5; p = 0.19) or symptom severity at last follow-up (3.96 ± 2.18 vs. 3.47 ± 1.78; p = 0.63) between the usual care arm (n = 26) and genotype-guided arm (n = 22), respectively. CONCLUSION: Our study revealed high acceptance of pharmacogenetic testing as part of a clinical trial among patients with cancer pain. However, provider response to genotype-guided recommendations was low, impacting assessment of pain-related outcomes. Addressing barriers to utility of pharmacogenetics results and clinical recommendations will be critical for implementation success.

Changes in anticoagulant and antiplatelet drug supply at US hospitals before and during the COVID-19 pandemic (2018-2021).

PURPOSE: Antithrombotic agents have a role in coronavirus disease 2019 (COVID-19) treatment, but the pandemic disrupted medication supply. This study examined changes in the volume of oral and parenteral anticoagulant and antiplatelet medications at US hospitals during the pandemic. METHODS: IQVIA National Sales Perspective (NSP) data was used to determine the monthly volume of anticoagulants and antiplatelets purchased at US hospitals between January 2018 and February 2021. Mean monthly medication volumes, reported as extended units (EUs), and year-over-year changes in medication volume were determined. A single-group interrupted time series analysis was used to evaluate changes in the rate of growth of monthly medication volumes before (January 2019-February 2020) and during (March 2020-February 2021) the COVID-19 pandemic. RESULTS: Overall, there was a 43.4% decline in the total volume of anticoagulants and antiplatelets at US hospitals in March 2020, driven by a decrease in heparin volume. Mean monthly volumes decreased significantly (P < 0.05) for parenteral anticoagulants (-106,691,340 EU [95% CI, -200,033,910 to -13,348,780]), oral anticoagulants (-354,800 EU [95% CI, -612,180 to -97,420]), and parenteral antiplatelets (-391,880 EU [95% CI, -535,420 to -248,330]). During the pandemic, the monthly volume of oral anticoagulants, parenteral anticoagulants, and parenteral antiplatelets grew significantly more than in the prepandemic period. This growth was primarily seen in volumes of apixaban, argatroban, enoxaparin, heparin, eptifibatide, and tirofiban. Apixaban and heparin volumes continued a prepandemic uptrend, while argatroban and eptifibatide volumes reversed trend. CONCLUSION: Rapid changes in anticoagulant and antiplatelet volume at US hospitals during the COVID-19 pandemic highlight the need for institutional protocols to manage fluctuating medication volume demands.

A randomized, cross-over trial of metoprolol succinate formulations to evaluate PK and PD end points for therapeutic equivalence.

There are limited comparison data throughout the dosing interval for generic versus brand metoprolol extended-release (ER) tablets. We compared the pharmacokinetics (PKs) and pharmacodynamics of brand name versus two generic formulations (drugs 1 and 2) of metoprolol ER tablets with different time to maximum concentration (Tmax ) in adults with hypertension. Participants were randomized to equal drug doses (50-150 mg/day) administered in one of two sequences (brand-drug1-brand-drug2 or brand-drug2-brand-drug1) and completed 24-h PK, digital heart rate (HR), ambulatory blood pressure (BP), and HR studies after taking each formulation for greater than or equal to 7 days. Metoprolol concentrations were determined by liquid chromatography tandem mass spectrometry, with noncompartmental analysis performed to obtain PK parameters in Phoenix WinNonlin. Heart rate variability (HRV) low-to-high frequency ratio was determined per quartile over the 24-h period. Thirty-six participants completed studies with the brand name and at least one generic product. Among 30 participants on the 50 mg dose, the primary PK end points of area under the concentration-time curve and Cmax were similar between products; Tmax was 6.1 ± 3.6 for the brand versus 3.5 ± 4.9 for drug 1 (p = 0.019) and 9.6 ± 3.2 for drug 2 (p < 0.001). Among all 36 participants, 24-h BPs and HRs were similar between products. Mean 24-h HRV low-to-high ratio was also similar for drug 1 (2.04 ± 1.35), drug 2 (1.86 ± 1.35), and brand (2.04 ± 1.77), but was more sustained over time for the brand versus drug 1 (drug × quartile interaction p = 0.017). Differences in Tmax between metoprolol ER products following repeated doses may have implications for drug effects on autonomic balance over the dosing interval.

Ligand-specific pharmacogenetic effects of nonsynonymous mutations.

In pharmacogenomics, variable receptor phenotypes, resulting from genetic polymorphisms, are often described as a change in protein function or regulation observed upon exposure to a drug. However, in some instances, phenotypes are defined using a class of medications rather than individual drugs. This paradigm assumes that a variation associated with a drug response phenotype will retain the magnitude and direction of the effect for other drugs with the same mechanism of action. However, nonsynonymous polymorphisms may have ligand-specific effects. The purpose of this study was to investigate the potential for point mutations to asymmetrically affect the binding of different drugs to a common target. Ligand binding data from site-directed mutagenesis studies on five G-protein coupled receptors (beta-1 and -2 adrenergic, dopamine D2, angiotensin II and mu-opioid receptor) were collected and analyzed. Binding data from 81 studies for 253 ligands with 447 mutant proteins, including 10 naturally occurring human variants, were analyzed, yielding 1989 mutation-ligand pairs. Fold change in binding affinity for mutant proteins, relative to the wild-type, for different drugs was examined for ligand-specific effects, with a fold-change difference of one or more orders of magnitude between agents considered significant. Of the mutations examined, 49% were associated with ligand-specific effects. One human variant (T164I, beta-2 adrenergic receptor) showed ligand-specific effects for antiasthmatic agents. These results indicate that ligand-specific changes in binding are a possible consequence of missense mutations. This implies that caution needs to be exercised when grouping drugs together during design or interpretation of genotype-phenotype association studies.

Examination of Metoprolol Pharmacokinetics and Pharmacodynamics Across CYP2D6 Genotype-Derived Activity Scores.

Recent CYP2D6 phenotype standardization efforts by CYP2D6 activity score (AS) are based on limited pharmacokinetic (PK) and pharmacodynamic (PD) data. Using data from two independent clinical trials of metoprolol, we compared metoprolol PK and PD across CYP2D6 AS with the goal of determining whether the PK and PD data support the new phenotype classification. S-metoprolol apparent oral clearance (CLo), adjusted for clinical factors, was correlated with CYP2D6 AS (P < 0.001). The natural log of CLo was lower with an AS of 1 (7.6 ± 0.4 mL/minute) vs. 2-2.25 (8.3 ± 0.6 mL/minute; P = 0.012), similar between an AS of 1 and 1.25-1.5 (7.8 ± 0.5 mL/minute; P = 0.702), and lower with an AS of 1.25-1.5 vs. 2-2.25 (P = 0.03). There was also a greater reduction in heart rate with metoprolol among study participants with AS of 1 (-10.8 ± 5.5) vs. 2-2.25 (-7.1 ± 5.6; P < 0.001) and no significant difference between those with an AS of 1 and 1.25-1.5 (-9.2 ± 4.7; P = 0.095). These data highlight linear trends among CYP2D6 AS and metoprolol PK and PD, but inconsistencies with the phenotypes assigned by AS based on the current standards. Overall, this case study with metoprolol suggests that utilizing CYP2D6 AS, instead of collapsing AS into phenotype categories, may be the most precise approach for utilizing CYP2D6 pharmacogenomics in clinical practice.

Design and rational for the precision medicine guided treatment for cancer pain pragmatic clinical trial.

INTRODUCTION: Pain is one of the most burdensome symptoms associated with cancer and its treatment, and opioids are the cornerstone of pain management. Opioid therapy is empirically selected, and patients often require adjustments in therapy to effectively alleviate pain or ameliorate adverse drug effects that interfere with quality of life. There are data suggesting CYP2D6 genotype may contribute to inter-patient variability in response to opioids through its effects on opioid metabolism. Therefore, we aim to determine if CYP2D6 genotype-guided opioid prescribing results in greater reductions in pain and symptom severity and interference with daily living compared to a conventional prescribing approach in patients with cancer. METHODS: Patients with solid tumors with metastasis and a self-reported pain score ≥ 4/10 are eligible for enrollment and randomized to a genotype-guided or conventional pain management strategy. For patients in the genotype-guided arm, CYP2D6 genotype information is integrated into opioid prescribing decisions. Patients are asked to complete questionnaires regarding their pain, symptoms, and quality of life at baseline and 2, 4, 6, and 8 weeks after enrollment. The primary endpoint is differential change in pain severity by treatment strategy (genotype-guided versus conventional pain management). Secondary endpoints include change in pain and symptom interference with daily living. CONCLUSION: Pharmacogenetic-guided opioid selection for cancer pain management has potential clinical utility, but current evidence is limited to retrospective and observational studies. Precision Medicine Guided Treatment for Cancer Pain is a pragmatic clinical trial that seeks to determine the utility of CYP2D6 genotype-guided opioid prescribing in patients with cancer.

Institutional profile: University of Florida Health Personalized Medicine Program.

The University of Florida (UF) Health Personalized Medicine Program launched in 2012 with CYP2C19 genotyping for clopidogrel response at UF Health Shands Hospital. We have since expanded CYP2C19 genotyping to UF Health Jacksonville and established the infrastructure at UF Health to support clinical implementation for five additional gene-drug pairs: TPMT-thiopurines, IFNL3 (IL28B)-PEG IFN-α-based regimens, CYP2D6-opioids, CYP2D6/CYP2C19-antidepressants and CYP2C19-proton pump inhibitors. We are contributing to the evidence based on outcomes with genotype-guided therapy through pragmatic studies of our clinical implementations. In addition, we have developed a broad array of educational programs for providers, trainees and students that incorporate personal genotype evaluation to enhance participant learning.

Evaluation of liposomal curcumin cytochrome p450 metabolism.

BACKGROUND: Curcumin (diferuloylmethane) is a commonly used spice and nutritional supplement that has demonstrated potential anti-tumor and anti-inflammatory activity. There is limited information regarding curcumin metabolism and the potential for drug-drug interactions. The objective of this study was to characterize the hepatic metabolism of synthetic curcumin used in the liposomal curcumin formulation. MATERIALS AND METHODS: High-throughput cytochrome P450 (CYP450) metabolism inhibition assays were conducted in vitro evaluating CYP450 3A4, 2C8, 2C9, and 2D6. An ex vivo model of cryopreserved human hepatocytes was used to evaluate the CYP450 metabolism induction potential of curcumin for CYP P450 3A4, 2C8/2C9, and 2D6. RESULTS: In the in vitro CYP450 inhibition studies, curcumin at any concentration did not inhibit CYP450 3A4 or CYP450 2D6 activity. At a curcumin concentration of 58.3 microM, 10.5% and 22.5% inhibition of CYP450 2C9 and CYP450 2C8 activity, respectively, was observed. In the ex vivo hepatocyte inductions studies, minimal to no induction of CYP450 3A4, CYP450 2C8/2C9 or CYP450 2D6 was observed. Rifampicin did not induce the metabolism of curcumin and curcumin did not induce its own metabolism. CONCLUSION: There is low potential for CYP450 mediated drug interactions at physiologic serum concentrations of liposomal curcumin. Based on preliminary data, liposomal curcumin will not interact with other chemotherapy agents that are metabolized and/or eliminated via the primary drug metabolizing CYP450 pathways.

Determination of minimum effective dose and optimal dosing schedule for liposomal curcumin in a xenograft human pancreatic cancer model.

BACKGROUND: Curcumin is a food chemical present in tumeric (Curcuma longa) that has pharmacological activity to suppress carcinogenesis and inhibits multiple signaling pathways such as nuclear factor kappaB (NF-kappaB), cyclooxygenase-2 (Cox-2) and interleukin-8 (IL-8). Oral curcumin has poor oral bioavailability limiting its clinical activity; however, a patent pending liposomal formulation of curcumin was developed to improve drug delivery and has demonstrated activity in multiple cancers. This study was designed to determine the minimum effective dose (MED) as well as the optimal dosing schedule of liposomal curcumin in a xenograft mouse model of human pancreatic cancer. MATERIALS AND METHODS: The MED determination and optimal schedule was evaluated in female athymic nude mice injected subcutaneously with MiaPaCa-2 cells. Dosing was initiated at an average tumor size of 5mm. For the MED, mice were treated with the following dose levels of liposomal curcumin: no treatment, liposome only, 1 mg/kg, 2 mg/kg, 5 mg/kg, 10 mg/kg, 20 mg/kg and 40 mg/kg given by tail vein injection three times weekly for 28 days. For the optimum dosing schedule, three additional schedules were evaluated and compared to the control of three times weekly; daily (five days per week), every four days, and weekly for 28 days. All mice were weighed and tumor measurements taken three times weekly to evaluate toxicity and efficacy. RESULTS: The 20 mg/kg dose had the greatest decrease in tumor growth at 52% decrease in tumor growth when compared to no treatment control mice. MED was determined to be 20 mg/kg and was used for the optimal dosing schedule determination. Daily dosing and three times per week dosing had greater inhibition of tumor growth with no discernable difference than once weekly or every 4 day dosing. No toxicity was observed at any dose or schedule. CONCLUSION: The MED for liposomal curcumin is 20 mg/kg given once daily three times per week to achieve optimal tumor growth inhibition. This was dose recommended for additional preclinical studies to define safety and tolerability of liposomal curcumin in rat and dog models.