A 12-gene pharmacogenetic panel to prevent adverse drug reactions: an open-label, multicentre, controlled, cluster-randomised crossover implementation study

Analgesic therapy failure in a COMT HPS/HPS diplotype carrier heterozygous for the CYP2D6 *4 allele with fibromyalgia-a case report

Introduction

The cytochrome P450 enzyme 2D6 (CYP2D6) and the catechol-O-methyltransferase (COMT) enzyme are involved in catecholamine metabolism, potentially influencing pain modulation. Catechol-O-methyltransferase has 3 major haplotypes related to pain sensitivity: low (LPS), average (APS), and high (HPS). However, the reliability of these haplotypes in predicting clinical outcomes is not well investigated. We present a 40-year-old female patient with fibromyalgia. Despite extensive pharmacotherapy with 120 mg/d duloxetine, 150 mg/d pregabalin, 80 mg/d oxycodone, 2 g/d paracetamol, and 1.6 g/d ibuprofen, she suffered from severe pain.

Objectives

We aim to investigate the patient's susceptibility to analgesic therapy failure (TF) and pain sensitivity with pharmacogenotyping.

Methods

PGx panel testing, including CYP2D6 and COMT rs4680, was conducted by a commercial provider. Additional genotyping of COMT rs6269, rs4633 and rs4818 was performed applying PCR, restriction fragment length polymorphism assay and sanger sequencing.

Results

The patient was identified as COMT HPS/HPS diplotype carrier and CYP2D6 intermediate metabolizer. CYP2D6 is mainly responsible for the bioactivation of oxycodone into oxymorphone. Reduced CYP2D6 activity may result in a lower oxycodone activation. Considering the coadministration of duloxetine (a moderate CYP2D6 inhibitor), the TF of oxycodone could also be the result of a drug-drug-gene interaction. No other medications were affected by her genetic profile.

Conclusion

We hypothesize that the broad TF of pain medications and associated high pain sensitivity could be related to the patient's genetic predisposition in CYP2D6 and COMT, warranting further investigation in a larger patient sample.

Implementation of Integrated Clinical Pharmacogenomics Testing at an Academic Medical Center

BACKGROUND

Pharmacogenomics has demonstrated benefits for clinical care, including a reduction in adverse events and cost savings. However, barriers in expanded implementation of pharmacogenomics testing include prolonged turnaround times and integration of results into the electronic health record with clinical decision support. A clinical workflow was developed and implemented to facilitate in-house result generation and incorporation into the electronic health record at a large academic medical center.

METHODS

An 11-gene actionable pharmacogenomics panel was developed and validated using a QuantStudio 12K Flex platform. Allelic results were exported to a custom driver and rules engine, and result messages, which included a diplotype and predicted metabolic phenotype, were sent to the electronic health record; an electronic consultation (eConsult) service was integrated into the workflow. Postimplementation monitoring was performed to evaluate the frequency of actionable results and turnaround times.

RESULTS

The actionable pharmacogenomics panel covered 39 alleles across 11 genes. Metabolic phenotypes were resulted alongside gene diplotypes, and clinician-facing phenotype summaries (Genomic Indicators) were presented in the electronic health record. Postimplementation, 8 clinical areas have utilized pharmacogenomics testing, with 56% of orders occurring in the outpatient setting; 22.1% of requests included at least one actionable pharmacogene, and 67% of orders were associated with a pre- or postresult electronic consultation. Mean turnaround time from sample collection to result was 4.6 days.

CONCLUSIONS

A pharmacogenomics pipeline was successfully operationalized at a quaternary academic medical center, with direct integration of results into the electronic health record, clinical decision support, and eConsult services.

Clinical Pharmacogenetic Testing and Application: 2024 Updated Guidelines by the Korean Society for Laboratory Medicine

In the era of precision medicine, pharmacogenetics has substantial potential for addressing inter-individual variability in drug responses. Although pharmacogenetics has been a research focus for many years, resulting in the establishment of several formal guidelines, its clinical implementation remains limited to several gene-drug combinations in most countries, including Korea. The main causes of delayed implementation are technical challenges in genotyping and knowledge gaps among healthcare providers; therefore, clinical laboratories play a critical role in the timely implementation of pharmacogenetics. This paper presents an update of the Clinical Pharmacogenetic Testing and Application guidelines issued by the Korean Society for Laboratory Medicine and aims to provide the necessary information for clinical laboratories planning to implement or expand their pharmacogenetic testing. Current knowledge regarding nomenclature, gene-drug relationships, genotyping technologies, testing strategies, methods for clinically relevant information delivery, QC, and reimbursements has been curated and described in this guideline.

Clinical implementation of preemptive pharmacogenomics testing for personalized medicine at an academic medical center

OBJECTIVE

This article describes the implementation of preemptive clinical pharmacogenomics (PGx) testing linked to an automated clinical decision support (CDS) system delivering actionable PGx information to clinicians at the point of care at UCSF Health, a large Academic Medical Center.

METHODS

A multidisciplinary team developed the strategic vision for the PGx program. Drug-gene interactions of interest were compiled, and actionable alleles identified. A genotyping platform was selected and validated in-house. Following HIPAA protocols, genotype results were electronically transferred and stored in electronic health records (EHRs). CDS was developed and integrated with electronic prescribing.

RESULTS

We developed a customized PGx program for 56 medications and 15 genes. Two hundred thirty-three pharmacogenomic prescribing alerts and 15 pharmacogenomic testing prompts, approved by clinicians, were built into EHR to deliver actionable clinical PGx information to clinicians.

CONCLUSIONS

Our multidisciplinary team successfully implemented preemptive PGx testing linked to point-of-care CDS to guide clinicians with precise medication decision-making.

Unravelling the implementation of pharmacogenetic testing in Belgium

PURPOSE

Although already a lot of research has been done on pharmacogenetic tests to inform the choice and/or dosing of medicines, the implementation and clinical uptake remain limited. This study assessed the implementation of pharmacogenetic (PGx) testing on a national scale by analyzing access to and volumes of reimbursed PGx.

METHODS

The use of pharmacogenetic tests was examined via a cross-sectional online survey among the Belgian laboratories, collecting data on PGx targets, testing volumes and technologies used. The focus was on reimbursed tests. Additional data were sourced from the national reimbursement database to describe uptake of testing per medication.

RESULTS

The uptake of PGx testing in Belgium varied by medication, with significant implementation for fluoropyrimidines, abacavir, and thiopurines. DPYD gene testing was the most frequently performed PGx test, due to endorsed (inter)national guidelines. Reimbursement rules shape access to PGx, with the majority of PGx tests performed in dedicated centers for human genetics (CHG). Access to HLA laboratories for HLA targets was not optimal and some laboratories without a CHG also included constitutional PGx targets in somatic oncology panels.

CONCLUSION

This nationwide study demonstrates that in a country where the prescribers have access to a relatively extensive list of reimbursable PGx tests, the implementation of PGx testing is shaped by the presence of endorsed evidence-based clinical practice guidelines, as well as organizational and logistical factors.

Bridging the Gap: Advancing Pharmacogenetic Testing Through Comprehensive Implementation and Evaluation Strategies

ABSTRACT

Pharmacogenomics (PGx) enhances drug therapy by tailoring treatment to individual genetic profiles, thereby improving safety and efficacy. However, the integration of PGx into clinical practice, particularly in hospitals, faces significant challenges, including limited testing services, variant coverage, and inconsistent guidelines. A recent review, "Implementation and Evaluation Strategies of Pharmacogenetic Testing in Hospital Settings," highlights these challenges and current strategies. Sustaining PGx programs requires ongoing education, support, the integration of advanced technologies, and financial sustainability. Addressing inconsistent insurance coverage, developing standardized methodologies, and implementing clear policies are crucial for widespread adoption, advancement of personalized medicine, and improvement of patient care in hospital settings.

Implementation of HLA-related genotype-guided prescribing in Singapore

PURPOSE

To describe the implementation of human leukocyte antigen (HLA)-related genotype-guided prescribing in Singapore.

SUMMARY

Various HLA alleles have been implicated in drug hypersensitivity syndromes (DHS). These include HLA-B*15:02, which has been associated with carbamazepine-induced Stevens-Johnson syndrome/toxic epidermal necrolysis, HLA-B*58:01, which has been associated with increased risk of severe cutaneous adverse reactions with allopurinol use, and HLA-B*57:01, which has been associated with increased risk of hypersensitivity reactions with abacavir use. Integrating pharmacogenomics into patient care through genotype-guided prescribing potentially optimizes use of these drugs by reducing DHS-related and healthcare costs. We describe the prevalence of HLA-related DHS in Singapore, the cost-effectiveness of genotype-guided prescribing, and local policies and guidelines, as well as the impact of genotype-guided prescribing where available.

CONCLUSION

HLA-related genotype-guided prescribing has the potential to reduce the incidence of DHS and decrease healthcare costs, as seen in the success with carbamazepine. However, not all genotype-guided prescribing is cost-effective when implemented across the population, as was evident from local studies for allopurinol and abacavir. The cost-effectiveness of such measures may change over time with new data (eg, allele frequencies, test costs, drug prices, genotyping approach) and should be evaluated periodically and locally. Implementation of preemptive pharmacogenomics panel testing as part of routine clinical care may shift the threshold for cost-effectiveness and brings promise of further optimization of pharmacotherapy through precision medicine.

A United Kingdom nationally representative survey of public attitudes towards pharmacogenomics

BACKGROUND

Variation in DNA is known to contribute to medication response, impacting both medicine effectiveness and incidence of adverse drug reactions (ADRs). However, clinical implementation of pharmacogenomics (PGx) has been slow, and the views of the public are not well understood.

AIM

To assess UK national public attitudes around pharmacogenetics.

DESIGN AND METHODS

The survey was co-designed with the Participant Panel at Genomics England and the data were collected by the National Centre for Social Research, using its nationally representative panel of UK adults. Multivariable logistic regression analyses were used to analyse relationships between selected survey reported variables, controlled for age and sex.

RESULTS

The survey response rate was 58%. Two thousand seven hundred and nineteen responses were obtained. Most respondents (59%) had experienced either no benefit or a side effect. Forty-five per cent of respondents reported having experienced no benefit and 46% of respondents reported having experienced a side effect, with female respondents more likely to be in both groups (P < 0.0001). Despite variability in interindividual medicine response being well understood (89%), the involvement of DNA in predicting benefit or risk of a side effect is not (understood by 52% and 48%, respectively). Eighty-nine per cent would complete a PGx test, with 91% wanting direct access to this information. Eighty-five per cent of UK adults think that the NHS should offer PGx to those regularly taking many medicines. Respondents were not more worried overall about misuse of PGx data compared with other routine medical data. Experience with prescription medication impacted on views with those who were prescribed medication almost twice as likely to want a PGx test for any reason.

CONCLUSION

Most respondents reported experience with either a medication not working for them or ADRs. There was a high level of understanding of variable medication response but a relatively low level of awareness of the role genetics plays in that variability. Most respondents would want a PGx test, to have direct access to results, and think the NHS should offer this form of testing. Importantly, respondents were not more concerned about PGx data use than that of any other routinely generated medical data. Notably, this study highlights a relationship between individuals' experiences with prescription medications and their interest in PGx testing, underscoring the potential for personalized medicine to address public healthcare needs.

The association between the number of HLA risk alleles and drug allergy and its implications for HLA screening - a case-control study

Patients carrying specific HLA risk alleles are at higher risk for developing drug hypersensitivity reactions, yet pre-therapeutic screening is uncommon. We examined whether patients with a history of drug allergies have more HLA risk alleles to assess whether these patients are potential candidates for pre-therapeutic HLA screening. We performed a case-control study with patients who had a self-reported history of drug allergy (N = 94) and patients without such a history (N = 185). HLA regions were sequenced by use of Alloseq Tx for HLA-A -B, -C, -DP, -DQ and -DR genotypes. A logistic regression was performed to investigate whether the number of HLA risk alleles differed between cases and controls. Sequencing data of 279 patients were available for this analysis. There was no statistically significant difference in the mean number of unique HLA risk alleles between the cases and controls (5.31 vs 5.31, p = 0.9397). Therefore, patients with a self-reported history of drug allergy do not form a suitable group for pre-therapeutic screening for HLA risk alleles to prevent future drug allergies.

Review of Precision Medicine and Diagnosis of Neonatal Illness

Background/Objectives: Precision medicine is a state-of-the-art medicine tactic that tailors information about people's genes, environment, and lifestyle to aid the prevention, diagnosis, and treatment of various diseases to provide an overview of the currently available knowledge and applicability of precision medicine in the diagnosis of different cases admitted to the NICU, such as encephalopathies, respiratory distress syndrome of prematurity, hemodynamic instability, acute kidney injury, sepsis, and hyperbilirubinemia. Methods: The authors searched databases, such as PubMed and PubMed Central, for the terms neonatal "precision medicine", "personalized medicine", "genomics", and "metabolomics", all related to precision medicine in the diagnosis of neonatal illness. The related studies were collected. Results: The review highlights the diagnostic approach that serves to implement precision medicine in the NICU and provide precision diagnosis, monitoring, and treatment. Conclusions: In this review, we projected several diagnostic approaches that provide precision identification of health problems among sick neonates with complex illnesses in the NICU; some are noninvasive and available in ordinary healthcare settings, while others are invasive or not feasible or still in ongoing research as machine learning algorithms. Future studies are needed for the wide implementation of artificial intelligence tools in the diagnosis of neonatal illnesses.

Systematic analysis of the pharmacogenomics landscape towards clinical implementation of precision therapeutics in Greece

Pharmacogenomics (PGx) aims to delineate a patient's genetic profile with differences in drug efficacy and/or toxicity, particularly focusing on genes encoding for drug-metabolizing enzymes and transporters. Clinical implementation of PGx is a complex undertaking involving a multidisciplinary approach that includes, among others, a thorough understanding of a country's preparedness to adopt this modern discipline and a detailed knowledge of PGx biomarkers allelic spectrum at a population level. In several European populations, particularly in countries with lower income, clinical implementation of PGx is still in its infancy. We have previously performed a pilot study to determine the prevalence of PGx biomarkers in 18 European populations, as the first step towards population PGx at the European level. Here, we provide a comprehensive analysis of the current state of PGx in Greece, including a detailed allelic frequency spectrum of clinically actionable PGx biomarkers, the level of PGx education in academia, the provision of PGx testing services from public and private laboratories, and the aspects of the regulatory PGx environment, especially with respect to the discrepancies between the Greek National Organization of Medicines and the European Medicine Agency and health technology assessment. This study would not only provide the foundations for expediting the adoption of PGx in clinical reality in Greece but can also serve as a paradigm for replicating future studies in other European countries, to expand on previously available pilot studies.

The pharmacogenomic landscape in the Chinese: An analytics of pharmacogenetic variants in 206,640 individuals

Pharmacogenomic landscapes and related databases are important for identifying the biomarkers of drug response and toxicity. However, these data are still lacking for the Chinese population. In this study, we constructed a pharmacogenomic landscape and an associated database using whole-genome sequencing data generated by non-invasive prenatal testing in 206,640 Chinese individuals. In total, 1,577,513 variants (including 331,610 novel variants) were identified among 3,538 pharmacogenes related to 2,086 drugs. We found that the variant spectrum in the Chinese population differed among the seven major regions. Regional differences also exist among provinces in China. The average numbers of drug enzyme, transporter, and receptor variants were 258, 557, and 632, respectively. Subsequent correlation analysis indicated that the pharmacogenes affecting multiple drugs had fewer variants. Among the 16 categories of drugs, we found that nervous system, cardiovascular system, and genitourinary system/sex hormone drugs were more likely to be affected by variants of pharmacogenes. Characteristics of the variants in the enzyme, transporter, and receptor subfamilies showed specificity. To explore the clinical utility of these data, a genetic association study was conducted on 1,019 lung cancer patients. Two novel variants, AKT2 chr19:40770621 C>G and SLC19A1 chr21:46934171 A>C, were identified as novel platinum response biomarkers. Finally, a pharmacogenomic database, named the Chinese Pharmacogenomic Knowledge Base (CNPKB: http://www.cnpkb.com.cn/), was constructed to collect all the data. In summary, a pharmacogenomic landscape and database for the Chinese population were constructed in this study, which could support personalized Chinese medicine in the future.

3D printing of pharmaceutical dosage forms: Recent advances and applications

Three-dimensional (3D) printing, also referred to as additive manufacturing, is considered to be a game-changing technology in many industries and is also considered to have potential use cases in pharmaceutical manufacturing, especially if individualization is desired. In this review article the authors systematically researched literature published during the last 5 years (2019 - spring 2024) on the topic of 3D printed dosage forms. Besides all kinds of oral dosage forms ranging from tablets and capsules to films, pellets, etc., numerous reports were also identified on parenteral and cutaneous dosage forms and also rectal, vaginal, dental, intravesical, and ophthalmic preparations. In total, more than 500 publications were identified and grouped according to the site of administration, and an overview of the manuscripts is presented here. Furthermore, selected publications are described and discussed in more detail. The review highlights the very different approaches that are currently used in order to develop 3D printed dosage forms but also addresses remaining challenges.

Pharmacogenomics: DPYD and Prevention of Toxicity

In 2020, the introduction of pre-emptive DPYD genotyping prior to the administration of systemic fluoropyrimidine-based chemotherapy represented one of the first widespread pharmacogenetic testing programmes to be applied nationally in the United Kingdom. Pharmacogenetic variants in the DPYD gene found in between 3 and 6% of the population are a recognised cause of primary DPD enzyme deficiency and associated increased risk of severe fluoropyrimidine toxicity [1]. Yet, the availability of testing globally is heterogeneous. Despite growing evidence that in addition to reducing drug-induced toxicity, DPYD-guided dosing does not negatively affect outcomes, further research on the impact of routine DPYD genotyping in the UK population is required. With mandatory testing in the UK focussed on four well-characterised variants, there is a need to address the applicability of this strategy across diverse ethnic or ancestral populations. We highlight approaches to identify and characterise rare variants in DPYD and in other genes involved in the pyrimidine metabolic pathway to reduce healthcare inequalities. Finally, we discuss the future of pharmacogenomics within cancer care, and the potential to harness innovative digital and genotyping technologies to streamline prescribing and optimise both systemic anti-cancer therapies and supportive care.

Real-World Utilization of Medications With Pharmacogenetic Recommendations in Older Adults: A Scoping Review

Pharmacogenetic testing provides patient genotype information which could influence medication selection and dosing for optimal patient care. Insurance coverage for pharmacogenetic testing varies widely. A better understanding of the commonly used medications with clinically important pharmacogenetic recommendations can inform which medications and/or genes should be prioritized for coverage and reimbursement in the context of finite healthcare resources. The aim of this scoping review was to collate previous studies that investigated the utilization rate of medications that could be guided by pharmacogenetic testing. Included studies utilized electronic medical records or claims data to assess pharmacogenetic medication prescription rates for older adults (≥ 65 years old). Identified pharmacogenetic medications were classified according to therapeutic class and assessed for actionability based on the Clinical Pharmacogenetics Implementation Consortium guidelines. Across the 31 included studies, analgesic (n = 29), psychotropic (n = 29), and cardiovascular (n = 27) therapeutic classes were most commonly investigated. Study populations were primarily generalized (48%); however, some studies focused on specific populations, such as, cancer (n = 6), mental health (n = 1), and nursing home (n = 2) cohorts. A total of 215 unique pharmacogenetic medications were reported, of which, 82 were associated with actionable pharmacogenetic recommendations. The most frequent genes implicated in potential drug-gene interactions with these actionable pharmacogenetic drugs were CYP2D6 (25.6%), CYP2C19 (18.3%), and CYP2C9 (11%). Medications most frequently prescribed included pantoprazole (range 0%-49.6%), simvastatin (range 0%-54.9%), and ondansetron (range 0.1%-62.6%). Overall, the frequently prescribed medications and associated genes identified in this review could guide pharmacogenetic testing implementation into clinical practice, including insurer subsidization.

Budget impact analysis of TPMT and NUDT15 pharmacogenomic testing for 6-mercaptopurine in pediatric acute lymphoblastic leukemia patients

BACKGROUND

Pharmacogenomic testing identifies gene polymorphisms impacting drug metabolism, aiding in optimizing treatment efficacy and minimizing toxicity, thus potentially reducing healthcare utilization. 6-Mercaptopurine metabolism is affected by thiopurine methyltransferase ( TPMT ) and nudix hydrolase 15 ( NUDT15 ) polymorphisms. We sought to estimate the budget impact of preemptive pharmacogenomic testing for these genes in pediatric acute lymphoblastic leukemia (ALL) patients from an institutional perspective.

METHODS

A Markov model was constructed to model the first cycle of the maintenance phase of chemotherapy for pediatric ALL patients transitioning between one of three health states: stable, moderately myelosuppressed, and severely myelosuppressed over 16 weeks, with each health state's associated costs derived from the literature. The patient's likelihood to experience moderate or severe myelosuppression based on metabolism phenotype was calculated from the literature and applied on a weekly basis, and the marginal budget impact of preemptive pharmacogenomic testing vs. no pharmacogenomic testing was calculated. One-way sensitivity analysis was conducted to assess parameter influence on results.

RESULTS

Preemptive pharmacogenomic testing of TPMT and NUDT15 provided savings of up to $26 028 per patient during the maintenance phase. In the sensitivity analysis, the cost of outpatient management of moderate myelosuppression had the greatest impact on the budget, resulting in cost savings ranging from $8592 to $30 129 when the minimum and maximum costs of management were used in the model.

CONCLUSION

Preemptive pharmacogenomic testing for TPMT and NUDT15 polymorphisms before initiation of maintenance therapy for pediatric ALL patients yielded considerable cost savings.

Dual effects of DLG5 (disks large homolog 5 gene) modulation on chemotherapy-induced thrombocytopenia and nausea/vomiting via the hippo signalling pathway

BACKGROUND AND PURPOSE

The CAPEOX (combination of oxaliplatin and capecitabine) chemotherapy protocol is widely used for colorectal cancer treatment, but it can lead to chemotherapy-induced adverse effects (CRAEs).

EXPERIMENTAL APPROACH

To uncover the mechanisms and potential biomarkers for CRAE susceptibility, we performed whole-genome sequencing on normal colorectal tissue (CRT) before adjuvant chemotherapy. This is followed by in vivo and in vitro verifications for selected gene and CRAE pair.

KEY RESULTS

Our analysis revealed specific germline mutations linked to Grade 2 (or higher) chemotherapy-induced thrombocytopenia (CIT) and nausea/vomiting (CINV). Notably, both CRAEs were associated with mutations in the DLG5 gene. We found that DLG5 mutations related to CIT were associated with increased gene expression, while those associated with CINV were linked to suppressed gene expression, as indicated by the Genotype-Tissue Expression (GTEX) database. In megakaryocytes, overexpression of human DLG5 suppressed the hippo signalling pathway and induced YAP expression. In zebrafish, overexpression of human DLG5 not only reduced platelet production but also inhibited thrombus formation. Subsequent qPCR analysis revealed that DLG5 overexpression affected genes involved in cytoskeleton formation and alpha-granule formation, which could impact the normal generation of proplatelets.

CONCLUSION AND IMPLICATIONS

We identified a series of germline mutations associated with susceptibility to CIT and CINV. Of particular interest, we demonstrated that induced and suppressed DLG5 expression is respectively related to CIT and CINV. These findings shed light on the involvement of the hippo signalling pathway and DLG5 in the development of CRAEs, providing valuable insights into potential targets for therapeutic interventions.

Technological advances in clinical individualized medication for cancer therapy: from genes to whole organism

Efforts have been made to leverage technology to accurately identify tumor characteristics and predict how each cancer patient may respond to medications. This involves collecting data from various sources such as genomic data, histological information, functional drug profiling, and drug metabolism using techniques like polymerase chain reaction, sanger sequencing, next-generation sequencing, fluorescence in situ hybridization, immunohistochemistry staining, patient-derived tumor xenograft models, patient-derived organoid models, and therapeutic drug monitoring. The utilization of diverse detection technologies in clinical practice has made "individualized treatment" possible, but the desired level of accuracy has not been fully attained yet. Here, we briefly summarize the conventional and state-of-the-art technologies contributing to individualized medication in clinical settings, aiming to explore therapy options enhancing clinical outcomes.

Impact and Enablers of Pharmacogenetic-Informed Treatment Decisions-A Longitudinal Mixed-Methods Study Exploring the Patient Perspective

Pharmacogenetic (PGx) testing is a promising approach for optimizing drug therapies. However, there is limited knowledge regarding its real-world utilization and long-term impact in clinical practice. This study assessed how often PGx information informs treatment decisions and evaluated patients' perspectives on its use and non-use, identifying enablers for PGx implementation. A mixed-methods study was conducted with 24 patients with a median of 1 year after PGx testing. Medication and health-related data were collected at enrollment and at the follow-up 1 year later using a semi-structured questionnaire. At the follow-up, 62 medication changes were identified in 18 patients. A median of four medication changes per patient were initiated mainly by medical specialists (58%). PGx information was considered for 15 patients in 39 medication changes (63%). Patient-reported factors contributing to the non-use of PGx information included a lack of knowledge and interest among healthcare professionals (HCPs), structural and administrative barriers, and an over-reliance on patient advocacy. Potential enablers should address targeted PGx education, interprofessional collaboration, awareness among policymakers, and concise recommendations focused on PGx-actionable drugs from testing providers. By implementing these interdependent enablers, PGx can evolve into a long-term, clinically integrated cornerstone of individualized pharmacotherapy.

Pharmaco-Multiomics: A New Frontier in Precision Psychiatry

The landscape of psychiatric care is poised for transformation through the integration of pharmaco-multiomics, encompassing genomics, proteomics, metabolomics, transcriptomics, epigenomics, and microbiomics. This review discusses how these approaches can revolutionize personalized treatment strategies in psychiatry by providing a nuanced understanding of the molecular bases of psychiatric disorders and individual pharmacotherapy responses. With nearly one billion affected individuals globally, the shortcomings of traditional treatments, characterized by inconsistent efficacy and frequent adverse effects, are increasingly evident. Advanced computational technologies such as artificial intelligence (AI) and machine learning (ML) play crucial roles in processing and integrating complex omics data, enhancing predictive accuracy, and creating tailored therapeutic strategies. To effectively harness the potential of pharmaco-multiomics approaches in psychiatry, it is crucial to address challenges such as high costs, technological demands, and disparate healthcare systems. Additionally, navigating stringent ethical considerations, including data security, potential discrimination, and ensuring equitable access, is essential for the full realization of this approach. This process requires ongoing validation and comprehensive integration efforts. By analyzing recent advances and elucidating how different omic dimensions contribute to therapeutic customization, this review aims to highlight the promising role of pharmaco-multiomics in enhancing patient outcomes and shifting psychiatric treatments from a one-size-fits-all approach towards a more precise and patient-centered model of care.

Pharmacogenetic guided drug therapy - how to deal with phenoconversion in polypharmacy

INTRODUCTION

The prevalence of polypharmacy and the increasing availability of pharmacogenetic information in clinical practice have raised the prospect of data-driven clinical decision-making when addressing the issues of drug-drug interactions and genetic polymorphisms in metabolizing enzymes. Inhibition of metabolizing enzymes in drug interactions can lead to genotype-phenotype discrepancies (phenoconversion) that reduce the relevance of individual pharmacogenetic information.

AREAS COVERED

The aim of this review is to provide an overview of existing models of phenoconversion, and we discuss how phenoconversion models may be developed to estimate joint drug-interactions and genetic effects. Based on a literature search in PubMed, Google Scholar, and reference lists from review articles, we provide an overview of the current models of phenoconversion. The currently applied phenoconversion models are presented and discussed to predict the effects of drug-drug interactions while accounting for the pharmacogenetic status of patients.

EXPERT OPINION

While pharmacogenetic-dose recommendations alone are most relevant for rare and extreme genotypes, phenoconversion may increase the prevalence of these phenotypes. Therefore, in polypharmacy conditions, phenoconversion assessment is especially important for personalized drug therapy.

Discussion on the optimization of personalized medication using information systems based on pharmacogenomics: an example using colorectal cancer

Pharmacogenomics (PGx) is a powerful tool for clinical optimization of drug efficacy and safety. However, due to many factors affecting drugs in the real world, PGx still accounts for a small proportion of actual clinical application scenarios. Therefore, based on the information software, pharmacists use their professional advantages to integrate PGx into all aspects of pharmaceutical care, which is conducive to promoting the development of personalized medicine. In this paper, the establishment of an information software platform is summarized for the optimization of a personalized medication program based on PGx. Taking colorectal cancers (CRC) as an example, this paper also discusses the role of PGx in different working modes and participation in drug management of CRC patients by pharmacists with the help of information systems. Finally, we summarized the recommendations of different PGx guidelines to provide reference for the follow-up personalized pharmaceutical care.

PGxDB: an interactive web-platform for pharmacogenomics research

Pharmacogenomics, the study of how an individual's genetic makeup influences their response to medications, is a rapidly evolving field with significant implications for personalized medicine. As researchers and healthcare professionals face challenges in exploring the intricate relationships between genetic profiles and therapeutic outcomes, the demand for effective and user-friendly tools to access and analyze genetic data related to drug responses continues to grow. To address these challenges, we have developed PGxDB, an interactive, web-based platform specifically designed for comprehensive pharmacogenomics research. PGxDB enables the analysis across a wide range of genetic and drug response data types - informing cell-based validations and translational treatment strategies. We developed a pipeline that uniquely combines the relationship between medications indexed with Anatomical Therapeutic Chemical (ATC) codes with molecular target profiles with their genetic variability and predicted variant effects. This enables scientists from diverse backgrounds - including molecular scientists and clinicians - to link genetic variability to curated drug response variability and investigate indication or treatment associations in a single resource. With PGxDB, we aim to catalyze innovations in pharmacogenomics research, empower drug discovery, support clinical decision-making, and pave the way for more effective treatment regimens. PGxDB is a freely accessible database available at https://pgx-db.org/.

PharmFreq: a comprehensive atlas of ethnogeographic allelic variation in clinically important pharmacogenes

Genetic polymorphisms in drug metabolizing enzymes, drug transporters as well as in genes encoding the human major histocompatibility complex contribute to inter-individual differences in drug efficacy and safety. The extent, pattern and complexity of such pharmacogenetic variation differ drastically across human populations. Here, we present PharmFreq, a global repository of pharmacogenetic frequency information that aggregates frequency data of 658 allelic variants from over 10 million individuals collected from >1200 studies across 144 countries. Most investigations were conducted in East Asian and European populations, accounting for 29.4 and 26.6% of all studies, respectively. We find that the number of studies per country and aggregated cohort size correlated significantly with population size (R = 0.55, P= 3*10-9) and country gross domestic product (R = 0.43, P= 2*10-6) with overall population coverage varying between 5% in Estonia to < 0.001% in many countries in Sub-Saharan Africa and Asia. All frequency data are openly accessible via a web-based interactive dashboard at pharmfreq.com that facilitates the exploration, visualization and analysis of country- and population-specific data and their inferred phenotypic consequences. PharmFreq thus presents a comprehensive, freely available resource for pharmacogenetic variant frequencies that can inform about ethnogeographic pharmacogenomic diversity and reveal important inequities that help to focus future research efforts into underrepresented populations.

How to facilitate the wider use of pharmacogenetic tests?

4P medicine (personalized, preventive, predictive, and participatory) is experiencing a remarkable rise, and pharmacogenetics is an essential part of it. However, several obstacles are hindering its deployment. This round table brought together a group of experts to take stock of the situation, reflecting on ways to facilitate the prescription of these tests and the dissemination of the results on a national scale. The experts looked at the methods of prescribing and communicating pharmacogenetic data in the current situation as well as in the coming years, with the arrival of artificial intelligence software. The questions relating to the reimbursement of tests - as topical as ever - were also discussed, as this is a way to allow all patients to access these tests. Numerous recommendations have been formulated on these various points, aimed at facilitating prescription management for healthcare professionals, and ensuring the retention and use of the results throughout the patient's life. Finally, better patient information was recommended, as well as strengthening the involvement of healthcare professionals and industry stakeholders in this process, with insistence on the necessary training and commitment to ensure its success.

The Pharmacogenomics Global Research Network Implementation Working Group: global collaboration to advance pharmacogenetic implementation

Pharmacogenetics promises to optimize treatment-related outcomes by informing optimal drug selection and dosing based on an individual's genotype in conjunction with other important clinical factors. Despite significant evidence of genetic associations with drug response, pharmacogenetic testing has not been widely implemented into clinical practice. Among the barriers to broad implementation are limited guidance for how to successfully integrate testing into clinical workflows and limited data on outcomes with pharmacogenetic implementation in clinical practice. The Pharmacogenomics Global Research Network Implementation Working Group seeks to engage institutions globally that have implemented pharmacogenetic testing into clinical practice or are in the process or planning stages of implementing testing to collectively disseminate data on implementation strategies, metrics, and health-related outcomes with the use of genotype-guided drug therapy to ultimately help advance pharmacogenetic implementation. This paper describes the goals, structure, and initial projects of the group in addition to implementation priorities across sites and future collaborative opportunities.

Innovation in cancer pharmacotherapy through integrative consideration of germline and tumor genomes

Precision cancer medicine is widely established, and numerous molecularly targeted drugs for various tumor entities are approved or are in development. Personalized pharmacotherapy in oncology has so far been based primarily on tumor characteristics, for example, somatic mutations. However, the response to drug treatment also depends on pharmacological processes summarized under the term ADME (absorption, distribution, metabolism, and excretion). Variations in ADME genes have been the subject of intensive research for >5 decades, considering individual patients' genetic makeup, referred to as pharmacogenomics (PGx). The combined impact of a patient's tumor and germline genome is only partially understood and often not adequately considered in cancer therapy. This may be attributed, in part, to the lack of methods for combined analysis of both data layers. Optimized personalized cancer therapies should, therefore, aim to integrate molecular information, which derives from both the tumor and the germline genome, and taking into account existing PGx guidelines for drug therapy. Moreover, such strategies should provide the opportunity to consider genetic variants of previously unknown functional significance. Bioinformatic analysis methods and corresponding algorithms for data interpretation need to be developed to integrate PGx data in cancer therapy with a special meaning for interdisciplinary molecular tumor boards, in which cancer patients are discussed to provide evidence-based recommendations for clinical management based on individual tumor profiles. SIGNIFICANCE STATEMENT: The era of personalized oncology has seen the emergence of drugs tailored to genetic variants associated with cancer biology. However, the full potential of targeted therapy remains untapped owing to the predominant focus on acquired tumor-specific alterations. Optimized cancer care must integrate tumor and patient genomes, guided by pharmacogenomic principles. An essential prerequisite for realizing truly personalized drug treatment of cancer patients is the development of bioinformatic tools for comprehensive analysis of all data layers generated in modern precision oncology programs.

Amoxicillin crystalluria and amoxicillin-induced crystal nephropathy: a narrative review

Amoxicillin crystalluria (AC) refers to the precipitation of amoxicillin in the urine as amoxicillin trihydrate crystals. Amoxicillin-induced crystal nephropathy (AICN) refers to the obstruction of kidney tubules by amoxicillin trihydrate crystals, resulting in acute kidney injury. Usually considered rare and not serious, AC and AICN would be more frequent in patients receiving high-dose i.v. amoxicillin (≥150 mg/kg per day) than previously reported. AC prevalence ranges from 24% to 41%. AICN prevalence remains unclear. AC is generally asymptomatic, but sudden macroscopic hematuria with cloudy urine suggests the diagnosis. AC is diagnosed by detecting amoxicillin trihydrate crystals in urine. AC is a risk factor for acute kidney injury. Diagnosing AICN is more challenging in the absence of noninvasive diagnostic tools. It is suspected in high-dose i.v. amoxicillin-treated patients who develop acute kidney injury and AC, and after excluding other causes of acute kidney injury (mainly sepsis and acute interstitial nephritis). When testing for AC is unavailable, the presence of demonstrated (high blood amoxicillin levels and low urinary pH) or suspected (rapid i.v. amoxicillin administration and hypovolemia) risk factors for AC suggests its diagnosis. AICN management includes discontinuation/reduction of amoxicillin doses and volume resuscitation to improve tubular flow and urine output and decrease amoxicillin supersaturation. Patients generally recover normal kidney function rapidly after stopping amoxicillin, but renal replacement therapy is required in 10%-40% of patients. No deaths have been directly attributed to AICN. Future studies are needed to assess the exact prevalence of AC/AICN and to define optimal therapeutic options.

Value of Pharmacogenetic Testing Assessed with Real-World Drug Utilization and Genotype Data

Implementation of pharmacogenetic testing in clinical care has been slow and with few exceptions is hindered by the lack of real-world evidence on how to best target testing. In this retrospective register-based study, we analyzed a nationwide cohort of 1,425,000 patients discharged from internal medicine or surgical wards and a cohort of 2,178 university hospital patients for purchases and prescriptions of pharmacogenetically actionable drugs. Pharmacogenetic variants were obtained from whole genome genotype data for a subset (n = 930) of the university hospital patients. We investigated factors associated with receiving pharmacogenetically actionable drugs and developed a literature-based cost-benefit model for pre-emptive pharmacogenetic panel testing. In a 2-year follow-up, 60.4% of the patients in the nationwide cohort purchased at least one pharmacogenetically actionable drug, most commonly ibuprofen (25.0%) and codeine (19.4%). Of the genotyped subset, 98.8% carried at least one actionable pharmacogenetic genotype and 23.3% had at least one actionable gene-drug pair. Patients suffering from musculoskeletal or cardiovascular diseases were more prone to receive pharmacogenetically actionable drugs during inpatient episode. The cost-benefit model included frequently dispensed drugs in the university hospital cohort, comprising ondansetron (19.4%), simvastatin (7.4%), clopidogrel (5.0%), warfarin (5.1%), (es)citalopram (5.3%), and azathioprine (0.5%). For untargeted pre-emptive pharmacogenetic testing of all university hospital patients, the model indicated saving €17.49 in direct healthcare system costs per patient in 2 years without accounting for the cost of the test itself. Therefore, it might be reasonable to target pre-emptive pharmacogenetic testing to patient groups most likely to receive pharmacogenetically actionable drugs.

Bridging silicon and carbon worlds with digital twins and on-chip systems in drug discovery

This perspective discusses the convergence of digital twin (DT) technology and on-the-chip systems as pivotal innovations in precision medicine, substantially advancing drug discovery. DT leverages extensive health data to create dynamic virtual patient models, enabling predictive insights and optimized treatment strategies. Concurrently, on-the-chip systems from the Carbon world replicate human biological processes on microfluidic platforms, providing detailed insights into disease mechanisms and pharmacological interactions. The convergence of these technologies promises to revolutionize drug development by enhancing therapeutic precision, accelerating discovery timelines, and reducing costs. Specifically, it assesses their role in drug development, from refining therapeutic precision to expediting discovery timelines and reducing the final price. Nevertheless, integrating these technologies faces challenges, including data collection and privacy concerns, technical intricacies, and clinical adoption barriers. This manuscript argues for interdisciplinary cooperation to navigate these challenges, positing DTs and on-the-chip technologies as foundational elements in personalized healthcare and drug discovery.

Drug metabolizing enzymes pharmacogenetic variation-informed antidepressant therapy approach for common mental disorders: A systematic review and meta-analysis

IMPORTANCE

Currently, 30-50 % of individuals with depression and 40 % with anxiety-collectively referred to as common mental disorders (CMDs), exhibit inadequate responses to antidepressant treatments.

OBJECTIVE

To assess the effectiveness and safety of drug-metabolizing enzyme pharmacogenetic variation informed treatment (PGxIT) versus usual antidepressant treatment (UT) in patients with CMDs.

DATA SOURCES

A literature search was conducted in the MEDLINE, Scopus, and Cochrane Library databases from inception until January 30, 2024.

STUDY SELECTION

Studies were selected based on CMD diagnoses, reporting on the genetic variations of drug-metabolizing enzyme (DME) genes in relation to antidepressants, involving PGxIT and UT groups with human subjects, and published in English.

DATA EXTRACTION AND SYNTHESIS

Data extraction and quality assessment were performed independently by two authors. A pooled risk ratio (RR) with 95 % CI was estimated using both random and fixed-effect models, and heterogeneity was assessed using Cochran's Q test and the I2 statistic. The publication bias of eligible studies was assessed using post hoc Doi plots and the LFK index.

RESULTS

This systematic review included 18 studies (n = 7021). The PGxIT demonstrated greater efficacy in the remission of symptoms of depressive disorder at 8 weeks (RR 1.523 [95 % CI: 1.255-1.843]; I2 = 48 %) and 12 weeks (RR 1.631 [95 % CI: 1.001-2.657]; I2 = 86 %; p < 0.01), and symptoms of anxiety disorder compared to UT. Additionally, the risk of adverse drug events (ADEs) was significantly lower in the PGxIT group (RR = 0.65 [95 % CI: 0.52-0.82]; I2 = 0 %) than in the UT group. The certainty of evidence for both outcomes was moderate.

CONCLUSIONS AND RELEVANCE

This systematic review and meta-analysis suggest that pharmacogenetically guided antidepressant treatment, based on genetic variation in drug-metabolizing enzymes, is associated with superior efficacy in the remission of symptoms for patients with depressive disorders and a reduction in ADEs compared to usual treatment and the findings of the systematic review for remission in anxiety disorders indicate that, PGx guided treatment is also associated with increased remission of symptoms in anxiety disorders compared to usual treatment.

Characterizing the genetic architecture of drug response using gene-context interaction methods

Identifying factors that affect treatment response is a central objective of clinical research, yet the role of common genetic variation remains largely unknown. Here, we develop a framework to study the genetic architecture of response to commonly prescribed drugs in large biobanks. We quantify treatment response heritability for statins, metformin, warfarin, and methotrexate in the UK Biobank. We find that genetic variation modifies the primary effect of statins on LDL cholesterol (9% heritable) as well as their side effects on hemoglobin A1c and blood glucose (10% and 11% heritable, respectively). We identify dozens of genes that modify drug response, which we replicate in a retrospective pharmacogenomic study. Finally, we find that polygenic score (PGS) accuracy varies up to 2-fold depending on treatment status, showing that standard PGSs are likely to underperform in clinical contexts.

Lipid disturbances induced by psychotropic drugs: clinical and genetic predictors for early worsening of lipid levels and new-onset dyslipidaemia in Swiss psychiatric samples

BACKGROUND

Early worsening of plasma lipid levels (EWL; ≥5% change after 1 month) induced by at-risk psychotropic treatments predicts considerable exacerbation of plasma lipid levels and/or dyslipidaemia development in the longer term.

AIMS

We aimed to determine which clinical and genetic risk factors could predict EWL.

METHOD

Predictive values of baseline clinical characteristics and dyslipidaemia-associated single nucleotide polymorphisms (SNPs) on EWL were evaluated in a discovery sample (n = 177) and replicated in two samples from the same cohort (PsyMetab; n1 = 176; n2 = 86).

RESULTS

Low baseline levels of total cholesterol, low-density lipoprotein cholesterol (LDL-C) and triglycerides, and high baseline levels of high-density lipoprotein cholesterol (HDL-C), were risk factors for early increase in total cholesterol (P = 0.002), LDL-C (P = 0.02) and triglycerides (P = 0.0006), and early decrease in HDL-C (P = 0.04). Adding genetic parameters (n = 17, 18, 19 and 16 SNPs for total cholesterol, LDL-C, HDL-C and triglycerides, respectively) improved areas under the curve for early worsening of total cholesterol (from 0.66 to 0.91), LDL-C (from 0.62 to 0.87), triglycerides (from 0.73 to 0.92) and HDL-C (from 0.69 to 0.89) (P ≤ 0.00003 in discovery sample). The additive value of genetics to predict early worsening of LDL-C levels was confirmed in two replication samples (P ≤ 0.004). In the combined sample (n ≥ 203), adding genetics improved the prediction of new-onset dyslipidaemia for total cholesterol, LDL-C and HDL-C (P ≤ 0.04).

CONCLUSIONS

Clinical and genetic factors contributed to the prediction of EWL and new-onset dyslipidaemia in three samples of patients who started at-risk psychotropic treatments. Future larger studies should be conducted to refine SNP estimates to be integrated into clinically applicable predictive models.

Clinical Benefits and Utility of Pretherapeutic DPYD and UGT1A1 Testing in Gastrointestinal Cancer: A Secondary Analysis of the PREPARE Randomized Clinical Trial

Importance

To date, the clinical benefit and utility of implementing a DPYD/UGT1A1 pharmacogenetic-informed therapy with fluoropyrimidines and/or irinotecan have not been prospectively investigated.

Objective

To examine clinically relevant toxic effects, hospitalizations, and related costs while preserving treatment intensity and efficacy outcomes in patients with gastrointestinal cancer.

Design, Setting, and Participants

This nonprespecified secondary analysis stems from Pre-Emptive Pharmacogenomic Testing for Preventing Adverse Drug Reactions (PREPARE), a multicenter, controlled, open, block-randomized, crossover implementation trial conducted from March 7, 2017, to June 30, 2020, and includes data from Italy according to a sequential study design. The study population included 563 patients (intervention, 252; control [standard of care], 311) with gastrointestinal cancer (age ≥18 years) who were eligible for fluoropyrimidine and/or irinotecan treatment. Data analysis for the present study was performed from May 27 to October 10, 2024.

Interventions

Participants with actionable variants (DPYD*2A, DPYD*13, .DPYD c.2846A>T, and DPYD c.1236G>A for fluoropyrimidines, and UGT1A1*28, UGT1A1*6, and UGT1A1*27 for irinotecan) received drug or dose adjustments based on Dutch Pharmacogenetics Working Group recommendations.

Main Outcomes and Measures

The primary outcome was clinically relevant toxic effects (National Cancer Institute Common Terminology Criteria for Adverse Events grade ≥4 hematologic, grade ≥3 nonhematologic, or causing hospitalization, fluoropyrimidines and/or irinotecan causally related). Secondary outcomes included hospitalization rates, toxic effect management costs, intensity of treatment, quality-adjusted life-years, and 3-year overall survival.

Results

Overall, 1232 patients were enrolled in Italy, with 563 included in this analysis (317 [56.3%] men; median age, 68.0 [IQR, 60.0-75.0] years). In the intervention arm, carriers of any actionable genotype exhibited a 90% lower risk of clinically relevant toxic effects compared with the control arm (odds ratio, 0.1; 95% CI, 0.0-0.8; P = .04). They also presented higher toxic effect management costs per patient ($4159; 95% CI, $1510-$6810) compared with patients in the intervention arm ($26; 95% CI, 0-$312) (P = .004) and a higher rate of hospitalization (34.8% vs 11.8%; P = .12). The differences were not significant among all patients. Three-year overall survival did not differ significantly between arms, while quality-adjusted life-years significantly improved in the intervention arm. The pharmacogenetics-informed approach did not manifest a detrimental effect on treatment intensity in actionable genotype carriers.

Conclusions and Relevance

In this secondary analysis of PREPARE, pretreatment application of DPYD- and UGT1A1-guided treatment appeared to increase safety and reduce hospitalizations and related costs in patients with gastrointestinal cancer. Clinical benefit did not appear to be affected.

Trial Registration

ClinicalTrials.gov Identifier: NCT03093818.

Status of the implementation of pharmacogenetics in clinical practice in Spain: from regional to national initiatives

INTRODUCTION

Pharmacogenetics (PGx) has the potential to improve patient care, allowing to transform medical interventions by providing personalized therapeutic strategies. Scientific evidence supports the use of PGx in clinical practice and international organizations are developing clinical guidelines to facilitate the utilization of PGx testing. However, clinical implementation of PGx is limited and unequal worldwide.

CONTENT

This review summarizes regional and national Spanish initiatives to implement PGx in the clinical practice.

SUMMARY AND OUTLOOK

Diverse strategies to implement PGx in healthcare are applied across countries or even in the different regions of a specific country. Such was the case of Spain, a European country with 17 Autonomous Regions and two Autonomous Cities, each one with capacity to manage their own healthcare systems. Nevertheless, during the past years, many initiatives and strategies have been launched in Spain to develop different aspects of PGx. Importantly, the National Healthcare System has approved a PGx testing catalogue. This review highlights the crucial work and efforts of scientific societies (like the Spanish Society of Pharmacogenetics and Pharmacogenomics), of experts in PGx, of healthcare providers and of governmental parties in the implementation of PGx to personalize patient therapy, focused in Spain.

Pharmacogenetic DPYD allele variant frequencies: A comprehensive analysis across an ancestrally diverse Iranian population

BACKGROUND

Cancer treatment has improved over the past decades, but many cancer patients still experience adverse drug reactions (ADRs). Pharmacogenomics (PGx), known as personalized treatment, is a pillar of precision medicine that aims to optimize the efficacy and safety of medications by studying the germline variations. Germline variations in the DPYD lead to significant ADRs. The present cross-sectional study aims to evaluate the allele frequency of the DPYD gene variations in the Iranian population to provide insights into personalized treatment decisions in the Iranian population.

METHODS

The allele frequency of 51 pharmacogenetic variations in the clinically relevant DPYD was assessed in a representative sample set of 1142 unrelated Iranian individuals and subpopulations of different ethnic groups who were genotyped using the Infinium Global Screening Array-24 BeadChip.

RESULTS

The genotyping assay revealed eight pharmacogenetic variants including DPYD rs1801265 (c.85T > C; DPYD*9A), rs2297595 (c.496A > G), rs1801158 (c.1601G > A; DPYD*4), rs1801159 (c.1627A > G; DPYD*5), rs1801160 (c.2194G > A; DPYD*6), rs17376848 (c.1896T > C), rs56038477 (c.1236G > A; HapB3), and rs75017182 (c.1129-5923C > G; HapB3) with minor allele frequency (MAF) ≥ 1%.

CONCLUSION

The results of the study reveal significant genetic variations among Iranian population that could significantly influence clinical decision-making. These variants, with their potential to explain the substantial variability in drug response phenotypes among different populations, shed light on a crucial aspect of pharmacogenomics. These findings not only provide valuable insights but also inspire the design and implementation of future pharmacogenomic clinical trials, motivating further research in this crucial area.

AAAAI Position Statement on Changing Electronic Health Record Allergy Documentation to "Alerts" to Lead to Easily Understood, Actionable Labels

The term "allergy" is inaccurate for the vast majority of the contents in the current allergy fields of electronic health records (EHRs). While EHRs have transformed access to health information and streamlined the delivery of care, their ability to reliably indicate medications, vaccines, or foods that mandate avoidance versus preferences or mild intolerances, is suboptimal. The current systems are reactive instead of being proactive and frequently fail to communicate the appropriate course of action. This Position Statement of the American Academy of Allergy, Asthma and Immunology (AAAAI) advocates for a change in terminology. The section of the EHR currently labeled "allergies" should be renamed "alerts." The term "alert" accurately captures the purpose of this section without incorrectly assigning an allergic mechanism, and prioritizes easily understood and actionable labels. This change has the potential to simultaneously improve patient safety and care. This shift will be the first step in the transformation of the alerts section of the EHR. This document provides a framework for categorizing what should be included in this section. Enacting these changes will require EHR and clinical decision support vendors, healthcare and data standard regulators, allergists, and the larger health care community to work together to bring about these important advances.

Sex and Common Germline Variants Affect the Toxicity Profile and Pharmacokinetics of Alectinib: A Nationwide Cohort Study in Patients With ALK-Positive NSCLC

INTRODUCTION

Alectinib, a small-molecule kinase inhibitor, is used as first-line treatment for ALK-positive (ALK+) NSCLC. Albeit generally well-tolerated, a considerable subset of patients requires dose adjustments due to drug-related toxicity. Single-nucleotide polymorphisms in genes related to the metabolism of alectinib may upfront identify patients at risk for toxicity.

METHODS

In this multicenter observational cohort study in patients with advanced ALK+ NSCLC receiving alectinib treatment, we investigated the association between toxicity, pharmacokinetics, and key genetic variants in ABCB1, CYP3A4, PPAR-α, POR, and CYP3A5. Data on demographics, adverse events, and alectinib trough levels were collected from five hospitals.

RESULTS

Among 215 patients, 47% experienced severe toxicity. Women experienced more severe toxicity (female versus male: 56% versus 34%; p = 0.001) and had +35% higher alectinib trough levels (p < 0.001). Homozygous carriers of the PPAR-α 209G>A variant exhibited a higher incidence of grade greater than or equal to 3 toxicity (38%) compared with patients who carried at least one wild-type allele (11%) (p = 0.004). This remained significant after Bonferroni correction. Patients who experienced severe toxicity had +18.5% (95% confidence interval: 2.9%-36.6%; p = 0.019) higher trough levels.

CONCLUSIONS

Female patients encounter more severe toxicity due to higher alectinib exposure, which warrants further exploration. PPAR-α 209G>A significantly increased relevant alectinib-induced toxicity, most likely due to an increase in alectinib exposure. Pretreatment testing for genetic variants with a subsequent dose reduction could provide a viable approach to reduce alectinib-related toxicity.

Exploring 3D Printing in Drug Development: Assessing the Potential of Advanced Melt Drop Deposition Technology for Solubility Enhancement by Creation of Amorphous Solid Dispersions

Background: Melt-based 3D printing technologies are currently extensively evaluated for research purposes as well as for industrial applications. Classical approaches often require intermediates, which can pose a risk to stability and add additional complexity to the process. The Advanced Melt Drop Deposition (AMDD) technology, is a 3D printing process that combines the principles of melt extrusion with pressure-driven ejection, similar to injection molding. This method offers several advantages over traditional melt-based 3D printing techniques, making it particularly suitable for pharmaceutical applications. Objectives: This study evaluates the AMDD printing system for producing solid oral dosage forms, with a primary focus on the thermo-stable polymer polyvinyl alcohol (PVA). The suitability of AMDD technology for creating amorphous solid dispersions (ASDs) is also examined. Finally, the study aims to define the material requirements and limitations of the raw materials used in the process. Methods: The active pharmaceutical ingredients (APIs) indometacin and ketoconazole were used, with PVA 4-88 serving as the carrier polymer. Powders, wet granulates, and pellets were investigated as raw materials and characterized. Dissolution testing and content analyses were performed on the printed dosage forms. Solid-state characterization was conducted using differential scanning calorimetry (DSC) and X-ray diffraction (XRD). Degradation due to thermal and mechanical stress was analyzed using nuclear magnetic resonance spectroscopy (NMR). Results/Conclusions: The results demonstrate that the AMDD 3D printing process is well-suited for producing solid dosage forms. Tablets were successfully printed, meeting mass uniformity standards. Adjusting the infill volume from 30% to 100% effectively controlled the drug release rate of the tablets. Solid-state analysis revealed that the AMDD process can produce amorphous solid dispersions with enhanced solubility compared to their crystalline form. The experiments also demonstrated that powders with a particle size of approximately 200 µm can be directly processed using AMDD technology.

Pharmacogenotyping disproves genetic cause of drug-related problems in family history: a case report

BACKGROUND

In clinical practice, family medication history is not routinely assessed as part of a patient's family health history (FHH). The information is self-reported and can depend on the individual's subjective perception. To illustrate how pharmacogenetic (PGx) testing results could be used to validate self-reported family medication history on drug-related problems (DRP), as well as to inform medication-related decisions, we herein present a case involving ten members of the same family.

CASE PRESENTATION

Prior to a planned surgery, a preemptive PGx panel test was performed for a nine-year-old girl due to self-reported family medication history. The PGx panel test was also performed for her three siblings, parents, and grandparents. The focus was directed to the paternal grandmother, as she reported DRP from the hypnotic agent propofol, and to the maternal grandmother, as she described DRP after the administration of codeine and tramadol. A commercial PGx panel test of 100 variations in 30 different genes was conducted and analyzed focusing on genetic variants in cytochrome P450 enzyme 2B6 (CYP2B6), and CYP2D6 as they are involved in the biotransformation of propofol and the bioactivation of codeine and tramadol, respectively. The girl was identified as (1) CYP2B6 intermediate metabolizer (IM) with reduced enzyme activity and (2) CYP2D6 poor metabolizer (PM) with no enzyme activity. Regarding the planned surgery, it was recommended (1) to carefully titrate propofol dosage with increased monitoring of potential DRP and (2) to avoid opioids whose activation is mediated by CYP2D6 (e.g. codeine and tramadol). Further PGx testing revealed (1) the paternal grandmother as CYP2B6 normal metabolizer (NM) and (2) the maternal grandmother as CYP2D6 NM.

CONCLUSION

The original trigger for PGx testing was the self-reported, conspicuous family medication history of DRP reported by the grandmothers. However, the girl's genotype predicted phenotypes of CYP2B6 IM and CYP2D6 PM, differed from the grandmothers'. With this exemplary case, we propose that hereditary concerns based on self-reported information on DRP should be verified by a PGx panel test, when the respective drug exhibits a PGx association. Also, the girl's PGx testing results provided important medication recommendations, which were considered perioperatively by the anesthetist suggesting to use PGx testing results preemptively to inform medication-related decisions.

Phase IV adaptive randomised clinical trials evaluating efficacy and cost-efficacy of pre-emptive pharmacogenetic genotyping strategies in the Spanish National Health System: iPHARMGx Master Protocol and PREVESTATGx nested clinical trial

INTRODUCTION

Genetic variations impact drug response, driving the need for personalised medicine through pre-emptive pharmacogenetic testing. However, the adoption of pre-emptive pharmacogenetic testing for commonly prescribed drugs, such as statins, outside of tertiary hospitals is limited due to a lack of pharmacoeconomic evidence to support widespread implementation by healthcare policy-makers. The Spanish Consortium for the Implementation of Pharmacogenetics (iPHARMGx Consortium) addresses this by developing a clinical trial master protocol that will govern multiple nested adaptive clinical trials that compare genotype-guided treatments to standard care in specific drug-gene-population triads, asses their cost-efficacy and identify novel biomarkers through advanced sequencing techniques. The first of these studies aims to assess whether a pre-emptive statin therapy genotyping scheme reduces the incidence of statin-associated muscle symptoms (SAMS) in a population at risk of cardiovascular disease susceptible of receiving high-intensity or moderate-intensity doses of statins: The PREVESTATGx trial.

METHODS AND ANALYSIS

the PREVESTATGX trial is a multicentre, adaptive randomised controlled pragmatic phase IV clinical trial nested to the iPHARMGx master protocol with two parallel arms, aiming for superiority. Randomisation will be conducted on an individual basis with a centralised approach and stratification by centre. After inclusion in the trial and genotyping has been performed, subjects will be randomly allocated to experimental group (pharmacogenetic genotype-guided statin prescription) or standard-of-care statin prescription (as deemed by attending physician). The main objective is to assess the efficacy of a statin pre-emptive genotyping strategy in reducing the incidence of SAMS. A total of 225 subjects will be recruited among the 10 participating centres if no futility/efficacy boundary is reached in the prespecified interim analyses. Recruitment will be carried out during a 12-month period and subjects will be followed for a 9-month period.

ETHICS AND DISSEMINATION

The PREVESTATGx trial received ethical approval on 24 April 2024. Results will be disseminated via publication in peer-reviewed journals as well as presentation at international conferences. Trial results will be submitted for publication in an open-access peer-reviewed medical speciality-specific publication.

TRIAL REGISTRATION NUMBER

EU CT number: 2023-509418-12-00/Clinical trial Identifier (ClinicalTrials.gov): NCT06262685. Protocol version 1.2 12 April 2024 (includes non-substantial modification number 14 June 2024). Trial registration of this study can be located at both the EU Clinical Trials Register available from https:// euclinicaltrials.eu/search-for-clinical-trials/?lang=en and https://clinicaltrials.gov. Registration on both websites was done before the enrolment of the first patient complying with European regulations. EU Clinical Trials Register is a primary registry according to the WHO.

Influence of ethnicity on cyclin-dependent kinase inhibitor efficacy and toxicity: A systematic review and meta-analysis

BACKGROUND

The combination of cyclin-dependent kinase 4 and 6 inhibitors (CDK4/6i) with endocrine therapy (ET) is the standard of care for patients with hormone receptor-positive/human epidermal growth factor receptor 2-negative (HR+/HER2-) advanced breast cancer (aBC). While the efficacy and safety profiles of CDK4/6i and ET have been extensively evaluated in phase II and III trials worldwide, it remains unclear whether the response to CDK4/6i and toxicity profile vary among Asian and non-Asian patients. Therefore, we aimed to assess the treatment efficacy of ET with and without CDK4/6i by comparing outcomes in Asian and non-Asian subgroups included in these clinical trials. In addition, we evaluated the toxicity profiles of the treatments by estimating the risk of treatment-related adverse events (AEs).

METHODS

We conducted a meta-analysis including the most recent randomized trial data systematically searched from PubMed, Embase, Web of Science, Cochrane CENTRAL (from inception to May 31st, 2024) or presented in abstracts or oral presentations at the ESMO, ASCO, and SABCS international congresses. We included studies comparing CDK4/6i (palbociclib, ribociclib, abemaciclib, dalpiciclib) + ET versus placebo + ET. Progression-free survival (PFS) and overall survival (OS), hazard ratios (HR), and 95 % confidence intervals (CI) were extracted for the two subgroups of interest. To evaluate the treatment-related toxicity profiles, we extracted the number of side effects to estimate the risk of treatment-emergent AEs.

RESULTS

Eleven studies (n = 5129) were included in this meta-analysis. The addition of CDK4/6i to ET consistently improved PFS in both Asian (HR = 0.52, 95 % CI 0.47-0.60; p < 0.001) and non-Asian (HR = 0.58, 95 % CI 0.52-0.64; p < 0.001) groups. Similarly, the combination of CDK4/6i + ET led to an OS improvement in both Asian (HR = 0.75, 95 % CI 0.62-0.91; p = 0.003) and non-Asian (HR = 0.81, 95 % CI 0.73-0.89; p < 0.001) patients. The risk of treatment related toxicity was higher in the CDK4/6i + ET arm in both Asian and non-Asian groups. Interestingly, a numerically higher rate of treatment-related hematological toxicity was observed in Asian patients, although no significant interethnic difference was found in the relative risk of these events.

CONCLUSIONS

The combination of CDK4/6i and ET significantly improves PFS and OS compared to ET alone in both Asian and non-Asian patients with HR+/HER2-aBC. Although the magnitude of benefit appears to be independent of ethnicity, future clinical trials should devise a standardized method for stratifying patients by ethnicity to more effectively assess potential differences in treatment benefits.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO registration number: CRD42024543217.

Understanding the Biology and Testing Techniques for Pharmacogenomics in Oncology: A Practical Guide for the Clinician

Pharmacogenomic (PGx) testing is a growing area of personalized medicine with demonstrated clinical utility in improving patient outcomes in oncology. PGx testing of pharmacogenes affecting drug pharmacokinetics, pharmacodynamics, and response can help inform drug selection and dosing of several anticancer therapies and supportive care medications. Several PGx testing techniques exist including polymerase chain reaction (PCR), MassARRAY, microarray, and sequencing. This review article provides a clinician-friendly guide of these techniques. Understanding the advantages, limitations, ideal use, and potential clinical applications of each platform can help clinicians choose the appropriate PGx testing platform for specific use cases.

Association of Polymorphic Cytochrome P450 Enzyme Pathways with Falls in Multimedicated Older Adults

OBJECTIVES

Dose exposure is considered relevant for drug-associated falls in older adults, pointing to an importance of drug metabolism. Aim was to analyze individual factors altering drug metabolism such as enzyme saturation by drug exposure and pharmacogenetics in the context of drug-associated falls.

DESIGN

Prospective population-based study (ActiFE-Ulm study).

SETTING AND PARTICIPANTS

Community-dwelling older adults.

METHODS

Focus was laid on the metabolism by polymorphic cytochrome P450 (CYP) enzymes CYP2C19, 2C9, and 2D6. Relevant variants of pharmacogenes were analyzed. Logistic binary regression analysis was used to calculate odds ratios (ORs) and 95% CIs for falls observed prospectively over a 1-year period with drug metabolism characteristics.

RESULTS

In total, 1377 participants were included in the analysis. Although the phenotype predicted by the genotype was not, the use of drugs metabolized by CYP2C19 was associated with falls. Drugs not known as fall risk-increasing drugs (FRIDs; ie, non-FRIDs), but metabolized by CYP2C19, showed an OR of 1.46 (1.11-1.93) in adjusted analysis. Significant effect modification was observed for a reduced CYP2C19 activity phenotype with non-FRIDs metabolized by CYP2C19.

CONCLUSIONS AND IMPLICATIONS

This study suggests an association between the occurrence of falls in older adults and the metabolic capacity of CYP2C19. Thus, an important step toward prevention of falls might be to personalize dosage and treatment length of the main drug classes known to be CYP2C19 substrates, such as many antidepressants, opioids, and sedatives, but also proton pump inhibitors in particular in poor and intermediate metabolizers.

Serious gaming as potential training tool for recognition of adverse drug reactions: side-effect exposure-medical education (SeeMe)

PURPOSE

The recognition of adverse drug reactions (ADRs) is an important part of daily clinical work. However, medical education in this field is mostly drug-based and does not address adequately the complexity of this field regarding individual risk factors and polypharmacy. This study investigates the potential of the web-based serious game SeeMe (side-effect exposure-medical education) in pharmacological education of medical students to improve the recognition of relevant ADRs.

METHODS

One hundred fifty-seven medical students were recruited to evaluate the serious game SeeMe. SeeMe was developed to improve knowledge and recognition of ADRs in clinical practice. Players take on the role of a physician trying to understand fictional patients with ADRs. Before and after an 8-week playing period, an evaluation was carried out through a pre- and post-questionnaire and a pre- and post- knowledge test.

RESULTS

The students achieved significantly better results in the knowledge test, as almost twice as many exam-relevant questions were answered correctly (p < 0.001). The serious game had a positive effect on the students' perception of the importance of ADRs.

CONCLUSION

This study demonstrates the potential of web- and case-based fictional serious games in medical education. The improved recognition of side effects represents a crucial step for education and training in clinical pharmacology. Future versions of the serious game may take this further and focus on training in the treatment of ADRs and their relevance in various healthcare professions.

Genetic variability of incretin receptors affects the occurrence of neurodegenerative diseases and their characteristics

Background

Alzheimer's disease (AD) and Parkinson's disease (PD) are the most common neurodegenerative diseases. Their treatment options are rather limited, and no neuroprotective or disease-modifying treatments are available. Anti-diabetic drugs, such as glucagon-like peptide 1 (GLP-1) and glucose-dependent insulinotropic polypeptide (GIP) agonists, have been suggested as a potential therapeutic option.

Aims

Assess GLP1R and GIPR genetic variability in relation to AD- and PD-related phenotypes.

Methods

AD, PD patients and healthy control subjects were included in the study. Cerebrospinal fluid (CSF) biomarkers of Alzheimer's disease were measured in AD patients, while cognitive impairment was evaluated in PD. All participants were genotyped for three SNPs: GLP1R rs10305420, GLP1R rs6923761 and GIPR rs1800437.

Results

GLP1R rs10305420 genotypes were associated with increased odds for AD and PD development. GLP1R rs10305420 and GLP1R rs6923761 genotypes were significantly associated with Aβ42/40 ratio (p = 0.041 and p = 0.050), while GLP1R rs6923761 was also associated with p-tau levels (p = 0.022). Finally, GIPR rs1800437 heterozygotes as well as carriers of at least one GIPR rs1800437 C allele presented with increased odds for the development of dementia in PD (OR = 1.92; 95 % CI = 1.05-3.51; p = 0.034 and OR = 1.95; 95 % CI = 1.08-3.52; p = 0.027, respectively).

Conclusion

GLP1R and GIPR genetic variability may affect the occurrence of AD and PD and is also associated with AD CSF biomarkers for Alzheimer's disease and dementia in PD. The data on GLP1R and GIPR genetic variability may support the function of incretin receptors in neurodegeneration.

Socio-demographic and genetic risk factors for drug adherence and persistence across 5 common medication classes

Low drug adherence is a major obstacle to the benefits of pharmacotherapies and it is therefore important to identify factors associated with discontinuing or being poorly adherent to a prescribed treatment regimen. Using high-quality nationwide health registry data and genome-wide genotyping, we evaluate the impact of socio-demographic and genetic risk factors on adherence and persistence for 5 common medication classes that require long-term, regular therapy (N = 1,814,591 individuals from Finnish nationwide registries, 217,005 with genetic data from Finland and Estonia). Need for social assistance and immigration status show a notable negative effect on persistence and adherence across the examined medications (odd ratios between 0.48 and 0.82 for persistence and between 1.1% to 4.3% decrease in adherence) while demographic and health factors show comparably modest or inconsistent effects. A genome-wide scan does not identify genetic variants associated with the two phenotypes, while some pharmacogenes (i.e. CYP2C9 and SLCO1B1) are modestly associated with persistence, but not with adherence. We observe significant genetic correlations between medication adherence and participation in research studies. Overall, our findings suggest that socio-economically disadvantaged groups would benefit from targeted interventions to improve the dispensing and uptake of pharmacological treatments.

Genetic ancestry in population pharmacogenomics unravels distinct geographical patterns related to drug toxicity

Genetic ancestry plays a major role in pharmacogenomics, and a deeper understanding of the genetic diversity among individuals holds immerse promise for reshaping personalized medicine. In this pivotal study, we have conducted a large-scale genomic analysis of 1,136 pharmacogenomic variants employing machine learning algorithms on 3,714 individuals from publicly available datasets to assess the risk proximity of experiencing drug-related adverse events. Our findings indicate that Admixed Americans and Europeans have demonstrated a higher risk of experiencing drug toxicity, whereas individuals with East Asian ancestry and, to a lesser extent, Oceanians displayed a lower risk proximity. Polygenic risk scores for drug-gene interactions did not necessarily follow similar assumptions, reflecting distinct genetic patterns and population-specific differences that vary depending on the drug class. Overall, our results provide evidence that genetic ancestry is a pivotal factor in population pharmacogenomics and should be further exploited to strengthen even more personalized drug therapy.