Browsing by Author "Callaghan, John T."

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    Association of QT interval-prolonging drugs with clinical trial eligibility in patients with advanced cancer
    (Frontiers Media, 2022-12-15) Rowe, Elizabeth J.; Shugg, Tyler; Ly, Reynold C.; Philips, Santosh; Rosenman, Marc B.; Callaghan, John T.; Radovich, Milan; Overholser, Brian R.; Schneider, Bryan P.; Tisdale, James E.; Skaar, Todd C.; Medicine, School of Medicine
    Introduction: Drug-induced prolongation of the heart rate-corrected QT interval (QTc) is associated with increased risk for the potentially fatal arrhythmia torsades de pointes. Due to arrhythmia risk, clinical trials with cancer therapeutics often exclude patients based on thresholds for QTc prolongation. Our objective was to assess associations between prescriptions for QT-prolonging drugs and the odds of meeting cancer trial exclusionary QTc thresholds in a cohort of adults with advanced cancer. Methods: Electronic health records were retrospectively reviewed for 271 patients seen at our institutional molecular solid tumor clinic. Collected data included demographics, QTc measurements, ventricular arrhythmia-related diagnoses, and all inpatient and outpatient prescriptions. Potential associations were assessed between demographic and clinical variables, including prescriptions for QT-prolonging drugs, and QTc measurements. Results: Women had longer median QTc measurements than men (p = 0.030) and were prescribed more QT-prolonging drugs during the study (p = 0.010). In all patients, prescriptions for QT-prolonging drugs were associated with longer median and maximum QTc measurements at multiple assessed time points (i.e., for QT-prolonging drugs prescribed within 10, 30, 60, and 90 days of QTc measurements). Similarly, the number of QT-prolonging drugs prescribed was correlated with longer median and maximum QTc measurements at multiple time points. Common QTc-related exclusionary criteria were collected from a review of ClinicalTrials.gov for recent cancer clinical trials. Based on common exclusion criteria, prescriptions for QT-prolonging drugs increased the odds of trial exclusion. Conclusion: This study demonstrates that prescriptions for QT-prolonging drugs were associated with longer QTc measurements and increased odds of being excluded from cancer clinical trials.
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    Clinical Opportunities for Germline Pharmacogenetics and Management of Drug-Drug Interactions in Patients With Advanced Solid Cancers
    (American Society of Clinical Oncology, 2022) Shugg, Tyler; Ly, Reynold C.; Rowe, Elizabeth J.; Philips, Santosh; Hyder, Mustafa A.; Radovich, Milan; Rosenman, Marc B.; Pratt, Victoria M.; Callaghan, John T.; Desta, Zeruesenay; Schneider, Bryan P.; Skaar, Todd C.; Medicine, School of Medicine
    Purpose: Precision medicine approaches, including germline pharmacogenetics (PGx) and management of drug-drug interactions (DDIs), are likely to benefit patients with advanced cancer who are frequently prescribed multiple concomitant medications to treat cancer and associated conditions. Our objective was to assess the potential opportunities for PGx and DDI management within a cohort of adults with advanced cancer. Methods: Medication data were collected from the electronic health records for 481 subjects since their first cancer diagnosis. All subjects were genotyped for variants with clinically actionable recommendations in Clinical Pharmacogenetics Implementation Consortium guidelines for 13 pharmacogenes. DDIs were defined as concomitant prescription of strong inhibitors or inducers with sensitive substrates of the same drug-metabolizing enzyme and were assessed for six major cytochrome P450 (CYP) enzymes. Results: Approximately 60% of subjects were prescribed at least one medication with Clinical Pharmacogenetics Implementation Consortium recommendations, and approximately 14% of subjects had an instance for actionable PGx, defined as a prescription for a drug in a subject with an actionable genotype. The overall subject-level prevalence of DDIs and serious DDIs were 50.3% and 34.8%, respectively. Serious DDIs were most common for CYP3A, CYP2D6, and CYP2C19, occurring in 24.9%, 16.8%, and 11.7% of subjects, respectively. When assessing PGx and DDIs together, approximately 40% of subjects had at least one opportunity for a precision medicine-based intervention and approximately 98% of subjects had an actionable phenotype for at least one CYP enzyme. Conclusion: Our findings demonstrate numerous clinical opportunities for germline PGx and DDI management in adults with advanced cancer.
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    Clinical Opportunities for Germline Pharmacogenetics and Management of Drug-Drug Interactions in Patients With Advanced Solid Cancers
    (ASCO, 2022) Shugg, Tyler; Ly, Reynold C.; Rowe, Elizabeth J.; Philips, Santosh; Hyder, Mustafa A.; Radovich, Milan; Rosenman, Marc B.; Pratt, Victoria M.; Callaghan, John T.; Desta, Zeruesenay; Schneider, Bryan P.; Skaar, Todd C.; Medicine, School of Medicine
    PURPOSE: Precision medicine approaches, including germline pharmacogenetics (PGx) and management of drug-drug interactions (DDIs), are likely to benefit patients with advanced cancer who are frequently prescribed multiple concomitant medications to treat cancer and associated conditions. Our objective was to assess the potential opportunities for PGx and DDI management within a cohort of adults with advanced cancer. METHODS: Medication data were collected from the electronic health records for 481 subjects since their first cancer diagnosis. All subjects were genotyped for variants with clinically actionable recommendations in Clinical Pharmacogenetics Implementation Consortium guidelines for 13 pharmacogenes. DDIs were defined as concomitant prescription of strong inhibitors or inducers with sensitive substrates of the same drug-metabolizing enzyme and were assessed for six major cytochrome P450 (CYP) enzymes. RESULTS: Approximately 60% of subjects were prescribed at least one medication with Clinical Pharmacogenetics Implementation Consortium recommendations, and approximately 14% of subjects had an instance for actionable PGx, defined as a prescription for a drug in a subject with an actionable genotype. The overall subject-level prevalence of DDIs and serious DDIs were 50.3% and 34.8%, respectively. Serious DDIs were most common for CYP3A, CYP2D6, and CYP2C19, occurring in 24.9%, 16.8%, and 11.7% of subjects, respectively. When assessing PGx and DDIs together, approximately 40% of subjects had at least one opportunity for a precision medicine-based intervention and approximately 98% of subjects had an actionable phenotype for at least one CYP enzyme. CONCLUSION: Our findings demonstrate numerous clinical opportunities for germline PGx and DDI management in adults with advanced cancer.
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    Clinical Opportunities for Germline Pharmacogenetics and Management of Drug-Drug Interactions in Patients With Advanced Solid Cancers.
    (American Society of Clinical Oncology, 2022-02) Shugg, Tyler; Ly, Reynold C.; Rowe, Elizabeth J.; Philips, Santosh; Hyder, Mustafa A.; Radovich, Milan; Rosenman, Marc B.; Pratt, Victoria M.; Callaghan, John T.; Desta, Zeruesenay; Schneider, Bryan P.; Skaar, Todd C.
    PURPOSE: Precision medicine approaches, including germline pharmacogenetics (PGx) and management of drug-drug interactions (DDIs), are likely to benefit patients with advanced cancer who are frequently prescribed multiple concomitant medications to treat cancer and associated conditions. Our objective was to assess the potential opportunities for PGx and DDI management within a cohort of adults with advanced cancer. METHODS: Medication data were collected from the electronic health records for 481 subjects since their first cancer diagnosis. All subjects were genotyped for variants with clinically actionable recommendations in Clinical Pharmacogenetics Implementation Consortium guidelines for 13 pharmacogenes. DDIs were defined as concomitant prescription of strong inhibitors or inducers with sensitive substrates of the same drug-metabolizing enzyme and were assessed for six major cytochrome P450 (CYP) enzymes. RESULTS: Approximately 60% of subjects were prescribed at least one medication with Clinical Pharmacogenetics Implementation Consortium recommendations, and approximately 14% of subjects had an instance for actionable PGx, defined as a prescription for a drug in a subject with an actionable genotype. The overall subject-level prevalence of DDIs and serious DDIs were 50.3% and 34.8%, respectively. Serious DDIs were most common for CYP3A, CYP2D6, and CYP2C19, occurring in 24.9%, 16.8%, and 11.7% of subjects, respectively. When assessing PGx and DDIs together, approximately 40% of subjects had at least one opportunity for a precision medicine-based intervention and approximately 98% of subjects had an actionable phenotype for at least one CYP enzyme. CONCLUSION: Our findings demonstrate numerous clinical opportunities for germline PGx and DDI management in adults with advanced cancer.
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    Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for CYP2C9 and HLA-B Genotypes and Phenytoin Dosing: 2020 Update
    (Wiley, 2021) Karnes, Jason H.; Rettie, Allan E.; Somogyi, Andrew A.; Huddart, Rachel; Fohner, Alison E.; Formea, Christine M.; Lee, Ming Ta Michael; Llerena, Adrian; Whirl-Carrillo, Michelle; Klein, Teri E.; Phillips, Elizabeth J.; Mintzer, Scott; Gaedigk, Andrea; Caudle, Kelly E.; Callaghan, John T.; Medicine, School of Medicine
    Phenytoin is an antiepileptic drug with a narrow therapeutic index and large interpatient pharmacokinetic variability, partly due to genetic variation in CYP2C9. Furthermore, the variant allele HLA-B*15:02 is associated with an increased risk of Stevens-Johnson syndrome and toxic epidermal necrolysis in response to phenytoin treatment. We summarize evidence from the published literature supporting these associations and provide therapeutic recommendations for the use of phenytoin based on CYP2C9 and/or HLA-B genotypes (updates on cpicpgx.org).
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    Clinical Pharmacogenetics Implementation Consortium (CPIC) Guidelines for Human Leukocyte Antigen B (HLA-B) Genotype and Allopurinol Dosing: 2015 update
    (Wiley, 2016-01) Saito, Yoshiro; Stamp, Lisa K.; Caudle, Kelly E.; Hershfield, Michael; McDonagh, Ellen M.; Callaghan, John T.; Tassaneeyakul, Wichittra; Mushiroda, Taisei; Kamatani, Naoyuki; Goldspiel, Barry R.; Phillips, Elizabeth J.; Klein, Teri E.; Lee, Ming Ta Michael; Department of Pharmacology and Toxicology, IU School of Medicine
    The Clinical Pharmacogenetics Implementation Consortium (CPIC) Guidelines for HLA-B*58:01 Genotype and Allopurinol Dosing was originally published in February 2013. We reviewed the recent literature and concluded that none of the evidence would change the therapeutic recommendations in the original guideline; therefore, the original publication remains clinically current. However, we have updated the Supplemental Material and included additional resources for applying CPIC guidelines into the electronic health record. Up-to-date information can be found at PharmGKB (http://www.pharmgkb.org).
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    Clinical Pharmacogenetics Implementation Consortium Guideline for CYP2D6, OPRM1, and COMT Genotypes and Select Opioid Therapy
    (Wiley, 2021) Crews, Kristine R.; Monte, Andrew A.; Huddart, Rachel; Caudle, Kelly E.; Kharasch, Evan D.; Gaedigk, Andrea; Dunnenberger, Henry M.; Leeder, J. Steven; Callaghan, John T.; Samer, Caroline Flora; Klein, Teri E.; Haidar, Cyrine E.; Van Driest, Sara L.; Ruano, Gualberto; Sangkuhl, Katrin; Cavallari, Larisa H.; Müller, Daniel J.; Prows, Cynthia A.; Nagy, Mohamed; Somogyi, Andrew A.; Skaar, Todd C.; Medicine, School of Medicine
    Opioids are mainly used to treat both acute and chronic pain. Several opioids are metabolized to some extent by CYP2D6 (codeine, tramadol, hydrocodone, oxycodone and methadone). Polymorphisms in CYP2D6 have been studied for an association with the clinical effect and safety of these drugs. Other genes which have been studied for their association with opioid clinical effect or adverse events include OPRM1 (mu receptor) and COMT (catechol-O-methyltransferase). This guideline updates and expands the 2014 Clinical Pharmacogenetics Implementation Consortium (CPIC) guideline for CYP2D6 genotype and codeine therapy and includes a summation of the evidence describing the impact of CYP2D6, OPRM1 and COMT on opioid analgesia and adverse events. We provide therapeutic recommendations for the use of CYP2D6 genotype results for prescribing codeine and tramadol and describe the limited and/or weak data for CYP2D6 and hydrocodone, oxycodone and methadone and for OPRM1 and COMT for clinical use.
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    Development of a Multifaceted Program for Pharmacogenetics Adoption at an Academic Medical Center: Practical Considerations and Lessons Learned
    (Wiley, 2024) Shugg, Tyler; Tillman, Emma M.; Breman, Amy M.; Hodge, Jennelle C.; McDonald, Christine A.; Ly, Reynold C.; Rowe, Elizabeth J.; Osei, Wilberforce; Smith, Tayler B.; Schwartz, Peter H.; Callaghan, John T.; Pratt, Victoria M.; Lynch, Sheryl; Eadon, Michael T.; Skaar, Todd C.; Medicine, School of Medicine
    In 2019, Indiana University launched the Precision Health Initiative to enhance the institutional adoption of precision medicine, including pharmacogenetics (PGx) implementation, at university-affiliated practice sites across Indiana. The overarching goal of this PGx implementation program was to facilitate the sustainable adoption of genotype-guided prescribing into routine clinical care. To accomplish this goal, we pursued the following specific objectives: (i) to integrate PGx testing into existing healthcare system processes; (ii) to implement drug-gene pairs with high-level evidence and educate providers and pharmacists on established clinical management recommendations; (iii) to engage key stakeholders, including patients to optimize the return of results for PGx testing; (iv) to reduce health disparities through the targeted inclusion of underrepresented populations; (v) and to track third-party reimbursement. This tutorial details our multifaceted PGx implementation program, including descriptions of our interventions, the critical challenges faced, and the major program successes. By describing our experience, we aim to assist other clinical teams in achieving sustainable PGx implementation in their health systems.
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    Drug–gene and drug–drug interactions associated with tramadol and codeine therapy in the INGENIOUS trial
    (Future Medicine, 2019-04) Fulton, Cathy R.; Zang, Yong; Desta, Zeruesenay; Rosenman, Marc B.; Holmes, Ann M.; Decker, Brian S.; Zhang, Yifei; Callaghan, John T.; Pratt, Victoria M.; Levy, Kenneth D.; Gufford, Brandon T.; Dexter, Paul R.; Skaar, Todd C.; Eadon, Michael T.; Medicine, School of Medicine
    Background: Tramadol and codeine are metabolized by CYP2D6 and are subject to drug-gene and drug-drug interactions. Methods: This interim analysis examined prescribing behavior and efficacy in 102 individuals prescribed tramadol or codeine while receiving pharmaco-genotyping as part of the INGENIOUS trial (NCT02297126). Results: Within 60 days of receiving tramadol or codeine, clinicians more frequently prescribed an alternative opioid in ultrarapid and poor metabolizers (odds ratio: 19.0; 95% CI: 2.8-160.4) as compared with normal or indeterminate metabolizers (p = 0.01). After adjusting the CYP2D6 activity score for drug-drug interactions, uncontrolled pain was reported more frequently in individuals with reduced CYP2D6 activity (odds ratio: 0.50; 95% CI: 0.25-0.94). Conclusion: Phenoconversion for drug-drug and drug-gene interactions is an important consideration in pharmacogenomic implementation; drug-drug interactions may obscure the potential benefits of genotyping.
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    Implementing a pragmatic clinical trial to tailor opioids for chronic pain on behalf of the IGNITE ADOPT PGx investigators
    (Wiley, 2024) Skaar, Todd C.; Myers, Rachel A.; Fillingim, Roger B.; Callaghan, John T.; Cicali, Emily; Eadon, Michael T.; Elwood, Erica N.; Ginsburg, Geoffrey S.; Lynch, Sheryl; Nguyen, Khoa A.; Obeng, Aniwaa Owusu; Park, Haesuk; Pratt, Victoria M.; Rosenman, Marc; Sadeghpour, Azita; Shuman, Saskia; Singh, Rajbir; Tillman, Emma M.; Volpi, Simona; Wiisanen, Kristin; Winterstein, Almut G.; Horowitz, Carol R.; Voora, Deepak; Orlando, Lori; Chakraborty, Hrishikesh; Van Driest, Sara; Peterson, Josh F.; Cavallari, Larisa A.; Johnson, Julie A.; Dexter, Paul R.; IGNITE Pragmatic Trials Network; Medicine, School of Medicine
    Chronic pain is a prevalent condition with enormous economic burden. Opioids such as tramadol, codeine, and hydrocodone are commonly used to treat chronic pain; these drugs are activated to more potent opioid receptor agonists by the hepatic CYP2D6 enzyme. Results from clinical studies and mechanistic understandings suggest that CYP2D6-guided therapy will improve pain control and reduce adverse drug events. However, CYP2D6 is rarely used in clinical practice due in part to the demand for additional clinical trial evidence. Thus, we designed the ADOPT-PGx (A Depression and Opioid Pragmatic Trial in Pharmacogenetics) chronic pain study, a multicenter, pragmatic, randomized controlled clinical trial, to assess the effect of CYP2D6 testing on pain management. The study enrolled 1048 participants who are taking or being considered for treatment with CYP2D6-impacted opioids for their chronic pain. Participants were randomized to receive immediate or delayed (by 6 months) genotyping of CYP2D6 with clinical decision support (CDS). CDS encouraged the providers to follow the CYP2D6-guided trial recommendations. The primary study outcome is the 3-month absolute change in the composite pain intensity score assessed using Patient-Reported Outcomes Measurement Information System (PROMIS) measures. Follow-up will be completed in July 2024. Herein, we describe the design of this trial along with challenges encountered during enrollment.