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PubMed2026

The impact of pharmacogenetic-informed care on medication adherence and psychological factors associated with adherence: A narrative review.

Improvement in medication adherence is often proposed as a potential advantage of pharmacogenetic-guided prescribing over a traditional one-size-fits-all approach. This paper provides a review of the published literature and presents the findings of studies that measure adherence to medication as an outcome of pharmacogenetic-informed care, or that measure the impact of pharmacogenetic-informed care on psychological factors that are associated with medication adherence. Adherence-related psychological factors are mapped to the Theoretical Domains Framework (TDF) to provide insight into how participants interact with pharmacogenetic-informed care as an intervention and to consider this in the context of medication adherence. A total of 23 studies were included, with 10 quantitative studies measuring medication adherence outcomes associated with pharmacogenetic-informed care. Five of these studies found a statistically significant improvement in adherence in the pharmacogenetic-tested group, two reported a small but non-significant trend, and three showed no difference. Additionally, 13 studies examined the impact of pharmacogenetic-informed care on psychological factors related to adherence. These factors were mapped to 10 TDF domains: knowledge (8 studies); social/professional role and identity (1); beliefs about capabilities (2); optimism (4); beliefs about consequences (10); intentions (5); goals (1); memory, attention and decision processes (7); social influences (4); and emotion (8). The findings suggest that although the evidence for pharmacogenetic-informed care improving medication adherence is mixed and limited, pharmacogenetic-informed care appears to positively influence psychological factors that may support adherence. These include improving knowledge, supporting decision-making and generally being perceived as a positive experience by patients.

adherence↗

PubMed2026

Characterization of DPYD pharmacogenetic variation in Mexican patients with gastrointestinal malignancies.

PURPOSE: Fluoropyrimidines are among the most widely used chemotherapeutic agents for gastrointestinal malignancies, but interindividual variability in dihydropyrimidine dehydrogenase (DPD) activity, encoded by DPYD, can lead to severe or lethal toxicities. Most pharmacogenetic data on DPYD originates from European populations, limiting the applicability of current guidelines in admixed groups. METHODS: We evaluated DPYD pharmacogenetic variation and its association with fluoropyrimidine-related adverse events in Mexican patients with gastrointestinal cancers. Adverse events were prospectively assessed using CTCAE v5.0. Genotyping was performed with the Illumina Global Screening Array and analyzed using PLINK and R. RESULTS: A total of 208 patients were enrolled, and 192 samples passed genotyping quality control; 156 patients received fluoropyrimidines. Only three patients (1.5%) carried actionable DPYD variants (rs3918290, rs67376798 and rs75017182), yielding allele frequencies of 0.26%, approximately ten-fold lower than those reported in European cohorts. Genome-wide analyses did not reveal significant genotype-phenotype associations, though suggestive variants in SDK1, ZPBP, and FGF12 were observed. Pharmacodynamic analyses identified frequent variation in TYMS rs2847153 and MTHFR rs1801133, both previously associated with fluoropyrimidine toxicity. Overall, patients exhibited a predominantly Native Mexican ancestry (56.5%), which may explain the markedly low frequency of actionable DPYD alleles commonly found in European populations. CONCLUSIONS: These findings highlight the limited representation of admixed populations in pharmacogenetic research and underscore the need for population-specific data to inform safe and equitable fluoropyrimidine dosing.

Humans↗

PubMed2025

Guidelines From the French-Speaking Society for Histocompatibility and Immunogenetics (SFHI) for Harmonisation of HLA Genotyping in Autoimmune Diseases, Drug Hypersensitivity and Pharmacogenetics.

HLA molecules play a central role in the adaptive immune response. Their high polymorphism influences individual susceptibility to various autoimmune diseases and certain drug-induced hypersensitivities. In France, HLA genotyping is classified as a medical genetics procedure and is strictly regulated. The Société Francophone d'Histocompatibilité et d'Immunogénétique (SFHI) has established national guidelines outlining clinically validated indications, required resolution levels and interpretation criteria based on robust data. These guidelines are particularly relevant for common clinical contexts, including autoimmune diseases and pharmacogenetic testing. Well-established associations include HLA-DQB1*02/DQA1*05 (DQ2) and HLA-DQB1*03:02/DQA1*05 (DQ8) with celiac disease, HLA-B*27 with spondyloarthritis, HLA-DQB1*06:02 with type 1 narcolepsy, HLA-A*29 with Birdshot chorioretinopathy and several pharmacogenetic risk alleles such as HLA-B*57:01 (abacavir), HLA-B*15:02 and HLA-A*31:01 (carbamazepine) and HLA-B*58:01 (allopurinol). In immunotherapy, the efficacy of tebentafusp has been shown to depend on HLA-A*02:01 positivity. HLA alleles must be interpreted as relative risk factors, not absolute predictors. Critical analysis of HLA-related scientific literature requires consideration of the genotyping technique, typing resolution, allele frequencies within the studied population and environmental factors. High-resolution typing is essential in pharmacogenetics and recommended in selected autoimmune disorders. Interpretation should be conducted by qualified medical biologists, integrating clinical context, allelic diversity and recent technological advances, particularly next-generation sequencing. HLA genotyping represents a valuable tool in diagnosis and risk assessment, with increasing importance in the era of personalised medicine.

Humans↗

PubMed2026

Clinical Function Assignment of NAT2 Alleles by the Clinical Pharmacogenetics Implementation Consortium Pharmacogene Curation Expert Panel.

NAT2 encodes arylamine N-acetyltransferase 2, a key enzyme in the phase II metabolism of arylamines and arylhydrazines. NAT2 is highly polymorphic, resulting in variable distributions of rapid and poor metabolizers across global populations. Here, we detail the process undertaken by the Clinical Pharmacogenetics Implementation Consortium (CPIC) NAT2 Pharmacogene Curation Expert Panel (PCEP) to assign clinical function to NAT2 star (*) alleles using CPIC's standard terminology. Given the observed impact of NAT2 genetic variability on drug response, CPIC convened the NAT2-PCEP to standardize clinical allele function assignments. The NAT2-PCEP is comprised of multidisciplinary and international members, including researchers, clinicians, and implementers with expertise in pharmacogenomics and NAT2 molecular biology. Extensive in vitro and clinical literature was curated from PubMed and other sources to assess NAT2 genotype-to-phenotype concordance as well as the biochemical function of NAT2 star alleles. The NAT2-PCEP assigned allele clinical function using CPIC's standard terminology (increased, decreased, uncertain, and unknown function) to 59 star alleles cataloged by the Pharmacogene Variation Consortium (PharmVar). Two alleles, NAT2*1 and NAT2*4, were assigned increased function (historically known as rapid), 40 alleles were assigned decreased function (historically known as slow), 10 alleles were assigned uncertain function, and seven alleles were assigned unknown function. Rigorous evidence review and in-depth PCEP discussion were crucial in determining these function assignments. The findings reported here underscore the importance of standardized allele functional terms and diplotype-to-phenotype assignments to further the clinical implementation of NAT2 pharmacogenetic test results.

Arylamine N-Acetyltransferase↗

PubMed2026

Beyond enrichment: pharmacogenetic heterogeneity in treatment-resistant depression.

OBJECTIVES: Genetic variation has been proposed as a potential contributor to antidepressant nonresponse, but its role in treatment-resistant depression (TRD) remains unclear. This study used pharmacogenetics (PGx) to characterize genetic variation in TRD and determine whether actionable PGx variation and drug-gene interaction (DGI) mismatch were associated with antidepressant nonresponse and TRD burden. METHODS: This observational study included 158 individuals with TRD recruited from outpatient clinics in Western Australia. Genotype and genotype-predicted phenotypes for CYP2B6, CYP2C19, and CYP2D6 were derived from commercial PGx testing and compared with ethnicity-matched reference populations from ClinPGx. Antidepressant-specific DGIs were classified as actionable or nonactionable according to Clinical Pharmacogenetics Implementation Consortium guidelines, and unsupervised clustering was used to identify clusters based on these actionability profiles. Analyses were performed to determine if actionable PGx variation, cluster membership, or PGx mismatch was associated with TRD burden (number of failed antidepressant trials). RESULTS: PGx variation in the TRD cohort was consistent with population expectations, with no evidence of enrichment for actionable PGx variants. Clustering identified six clusters with distinct and gene-specific patterns of PGx variation independent of demographic and clinical characteristics. However, neither PGx mismatch nor cluster membership were associated with TRD burden. CONCLUSION: These findings suggest that actionable PGx phenotypes are neither enriched in TRD nor associated with greater TRD severity. Rather, the results indicate that TRD does not represent a single, unified PGx-predicted 'poor pharmacological responder' phenotype but instead reflects a biologically heterogeneous collection of distinct PGx profiles.

antidepressants↗

PubMed2026

Genetic and epigenetic determinants of cytochrome P450 activity in psychopharmacology: from pharmacogenetics to functional pharmacogenomics.

Classical pharmacogenetics has explained interindividual variability in psychotropic drug response primarily through inherited polymorphisms in cytochrome P450 enzymes. This framework successfully identified extreme metabolizer phenotypes and informed genotype-guided dosing recommendations. However, genotype-based predictions frequently correlate more strongly with pharmacokinetic parameters than with clinical outcomes. Patients sharing similar CYP genotypes often exhibit divergent therapeutic trajectories, while metabolic phenotypes may change during treatment without corresponding alterations in DNA sequence. These observations suggest the existence of a genotype-phenotype gap mediated by regulatory processes not captured by genotyping alone. Evidence from epigenetic regulation, environmental modulation of pharmacogene expression, and phenoconversion indicates that metabolic capacity is better understood as a dynamic functional state rather than a fixed inherited trait. This review examines the role of these mechanisms in psychiatric pharmacotherapy and explores the implications of shifting the predictive focus of precision medicine from static genotype to functional state.

Humans↗

PubMed2026

Patient views on receiving a pharmacogenetic passport - a mixed methods study exploring experiences and use after an opportunistic offer.

Genomic data plays an increasingly important role in clinical care, yet how it can be appropriately integrated into standard practice remains debated. One emerging approach is the opportunistic use of whole-exome sequencing (WES) data to offer pharmacogenetic (PGx) information. While initiatives providing PGx prescribing recommendations ahead of actual prescriptions are growing, little is known about how recipients of such information use it in practice or how it shapes their perceived roles and responsibilities. Using a mixed-methods design combining a quantitative survey with qualitative interviews, we explored the experiences and use of an opportunistic PGx passport, that was offered to parents who had undergone a trio-WES in pursuit of a genetic diagnosis for their child's developmental delay. We examined how they experienced and used the passport in practice and how it influenced their perceived role and responsibilities in a care setting. A total of 44 respondents were included in this study. The passport was used by only a minority of participants, partly due to the absence of a current medication need, but primarily due to limited ability to understand and apply the PGx information. The PGx passport shifted responsibilities away from the digital healthcare information systems onto the individual recipient. Without adequate support, this shift risks responsibilizing recipients rather than genuinely empowering them with access to their PGx profiles. Based on these findings, we offer recommendations for the implementation of similar opportunistic PGx offers and for policy focussing on the appropriate integration of PGx into standard healthcare practice.

Journal Article↗

PubMed2026

A next-generation sequencing-based pharmacogenetic study of ABCB1, ABCC1, and ABCC2 variants associated with antiseizure medication response in Turkish epilepsy patients.

OBJECTIVES: Epilepsy is a chronic neurological disorder characterized by a tendency to have recurrent seizures due to abnormal and excessive neuronal activity in the brain. Genetic variants in adenosine triphosphate (ATP)-binding cassette (ABC) transporter genes, including ABCB1, ABCC1, and ABCC2, may contribute to pharmacoresistance in epilepsy by altering the transport of anti-seizure medications (ASMs) across the blood-brain barrier (BBB). This study aims to explore genetic polymorphisms in the ABCB1, ABCC1, and ABCC2 genes in Turkish epilepsy patients and to assess their impact on responsiveness to ASMs. METHODS: Targeted next-generation sequencing was used for molecular genotyping of the ABCB1, ABCC1, and ABCC2 genes in genomic DNA from 35 patients. RESULTS: A total of nine common variants were analyzed in ABCB1 (rs2032582, rs1045642, rs1128503), ABCC1 (rs35626, rs212087, rs246221), and ABCC2 (rs717620, rs22773697, rs3740066). A statistically significant association was found between ABCB1 rs2032582:T>G and ASMs response in the recessive model (TT + TG vs. GG, p = 0.018, OR = 13.13; 95% CI: 1.69-160.1; Benjamini-Hochberg (BH) FDR-adjusted q = 0.09), with the TT + TG genotypes being more frequent among drug-responsive patients. Haplotype analysis showed that only the ABCB1 rs2032582 G allele was significantly more frequent in drug-persistent patients compared with drug-responsive patients (χ2 = 3.916, p = 0.047). However, none of these associations remained statistically significant after false discovery rate (FDR) correction, and all findings should therefore be interpreted as exploratory. SIGNIFICANCE: The findings suggest that the ABCB1 rs2032582:T>G polymorphism may be associated with variability in treatment response among Turkish epilepsy patients. These results emphasize the potential involvement of ABC transporter-mediated drug efflux mechanisms in impacting the effectiveness of ASMs.

ABCB1↗

PubMed2026

Genotype-Guided Antidepressant Prescribing for Patients With Depression: A Randomized Clinical Trial.

IMPORTANCE: The effectiveness of pharmacogenetics to guide prescribing of selective serotonin reuptake inhibitors (SSRIs) for depression remains unclear, despite the well-established association between SSRI pharmacokinetics and genetic variation. OBJECTIVE: To determine whether pharmacogenetic-guided prescribing of SSRIs improves treatment response in patients with depression. DESIGN, SETTING, AND PARTICIPANTS: The ADOPT PGx (A Depression and Opioid Pragmatic Trial in Pharmacogenetics) Depression pragmatic randomized clinical trial was conducted from August 10, 2021, through April 27, 2024, at primary care, psychiatry, or family medicine clinics at enrolling sites throughout the US. Patients were aged 8 years or older and had experienced depression for 3 months or longer. INTERVENTION: Patients were randomized to genotype-guided SSRI prescribing (intervention group) or usual care (control group). Actionable drug metabolism phenotypes were defined as those for which pharmacogenetic clinical guidelines recommend alternative medication selection or dose adjustment. MAIN OUTCOMES AND MEASURES: The primary outcome was change in Patient-Reported Outcomes Measurement Information System (PROMIS) depression T scores at 3 months among patients with the actionable phenotype. Secondary end points included adverse effect severity of SSRIs at 3 months and depression remission (measured with PROMIS depression scores and Patient Health Questionnaire-8 [PHQ-8] scores) at 6 months. RESULTS: This study of 1460 patients included 1239 adults (84.9%) (mean [SD] age, 40.6 [16.7] years) and 221 children (15.1%) (mean [SD] age, 14.6 [1.8] years). Most patients were female (1096 [75.1%]). A total of 692 patients (47.4%) had an actionable phenotype; 351 (50.7%) were assigned to the intervention, and 341 (49.3%) were assigned to usual care. At baseline, 463 of the 692 patients (66.9%) reported having depressive symptoms for more than 2 years, 603 (87.1%) were receiving pharmacologic treatment, and 354 (51.2%) were receiving nonpharmacologic treatment. At 3 months, no significant differences were observed between the intervention and usual care groups in change in PROMIS depression T scores (mean [SD] change, -4.3 [8.4] vs -4.0 [8.1]; P = .68), medication adverse effect burden (mean [SD] change, 8.2 [4.3] vs 7.8 [4.5]; P = .37), or Patient Health Questionnaire-8 score change (mean [SD] change, -3.3 [5.2] vs -2.7 [4.8]; P  = .13). However, at 6 months, the PROMIS depression T-score remission rate (score ≤16) was higher in the intervention group compared with the usual care group (153 of 317 patients [48.3%] vs 122 of 310 patients [39.4%]; P = .02). CONCLUSIONS AND RELEVANCE: In this randomized clinical trial, genotype-guided prescribing of SSRIs did not improve control of depression symptoms at 3 months compared with usual care but was associated with higher depression remission rates at 6 months. These findings suggest a possible longer-term clinical benefit and indicate that future studies should focus on the durability and long-term impact of genotype-guided prescribing in the management of depressive symptoms. TRIAL REGISTRATION: ClinicalTrials.gov Identifiers: NCT04445792 (Master Protocol Research Program platform trial) and NCT05966155 (ADOPT PGx Depression trial).

Humans↗

PubMed2026

UGT1A1 genotype testing for irinotecan: A guideline developed by the UK Centre of Excellence in Regulatory Science and Innovation in Pharmacogenomics (CERSI-PGx).

Irinotecan, a topoisomerase I inhibitor, is available as both non-pegylated and pegylated formulations. The non-pegylated formulation is licensed for use in advanced colorectal cancer either in combination with other agents or as monotherapy. However, it is also used off-label across a range of gastrointestinal malignancies and in rare malignancies such as glioblastoma and sarcomas. The pegylated formulation is licensed for use as combination therapy in adult patients with metastatic pancreatic adenocarcinoma. Irinotecan is hydrolysed to its active metabolite, SN-38, which is predominantly inactivated by the enzyme uridine diphosphate glucuronosyltransferase UGT1A1. UGT1A1 is encoded by the gene UGT1A1, which is polymorphically expressed, with allele frequencies varying across populations. Poor metabolizers carry two variants that reduce UGT1A1 enzyme expression or activity, leading to increased risk of irinotecan toxicity. Any patient who is about to be prescribed irinotecan for an epithelial malignancy should have pharmacogenetic testing, to identify clinically relevant UGT1A1 variants, where testing is available. Irinotecan dose should be reduced by 30% at Cycle 1 treatment in poor metabolizers for all indications, with doses titrated thereafter based on tolerability and neutrophil counts. The lack of evidence precludes us from making any recommendation for rare malignancies such as sarcomas. Our guideline is consistent with other international pharmacogenetics prescribing guidelines. This guideline is grounded in the latest evidence but cannot account for all individual factors relevant to patient care. Therefore, prescribers must conduct a thorough assessment of each patient's risk-benefit profile, ensuring that therapy is optimized to maximize benefits while minimizing potential harms.

Humans↗

PubMed2026

MT-RNR1 genotype testing for preventing aminoglycoside-mediated ototoxicity: A guideline developed by the UK Centre of Excellence in Regulatory Science and Innovation in Pharmacogenomics (CERSI-PGx).

Aminoglycosides are broad-spectrum antibiotics used in the management of severe infections. Aminoglycosides are associated with nephrotoxicity and ototoxicity. Although dosing strategies such as once-daily administration and therapeutic drug monitoring have reduced the incidence of nephrotoxicity, ototoxicity remains unpredictable and may occur at therapeutic concentrations. A strong association between specific mitochondrial DNA variants in MT-RNR1 (m.1555A > G, m.1494C > T and m.1095 T > C) and aminoglycoside-induced hearing loss exists. These variants (frequency ~1 in 330 individuals across populations) predispose to irreversible, sensorineural hearing loss following aminoglycoside exposure, sometimes after a single dose. Avoidance of aminoglycosides is recommended at any detectable variant level. In England, laboratory-based MT-RNR1 testing is nationally commissioned, whereas point-of-care testing in time-critical settings like neonatal sepsis is delivered in some centres. Approximately 20% of aminoglycoside use is predictable providing opportunities for pre-emptive pharmacogenetic testing. Where MT-RNR1 testing results are unavailable and clinical urgency is high, aminoglycoside treatment should not be delayed. Early health economic evidence suggests that point-of-care testing in neonates may be cost-saving by preventing lifelong hearing loss. Regulatory and Health Technology Assessment bodies support targeted implementation of testing alongside further evidence generation. Overall, integration of MT-RNR1 pharmacogenetic testing offers a feasible and proportionate strategy to reduce harm while preserving access to life-saving antibiotic therapy. This guideline is grounded in the latest evidence in this field but cannot account for all individual factors relevant to patient care. Therefore, prescribers must conduct a thorough assessment of each patient's risk-benefit profile, ensuring that therapy is optimized to maximize benefits while minimizing potential harms.

Humans↗

PubMed2026

Current knowledge in pharmacogenomics and precision medicine: perspectives of the PGRN global PGx committee on improving drug therapies in underrepresented ethnic populations.

A precision medicine strategy is likely to be more impactful, when pharmacogenomics (PGx) guided selection of drugs and dosage wherever applicable is implemented across the globe. In regions where resources are disproportionately distributed, PGx implementation in routine clinical care can play a critical role in ensuring the optimal use of limited healthcare infrastructure. At present, PGx data from the majority of the distinct ethnic populations across Asia, Africa, and South America is limited. While international consortia, working groups, and scientific bodies have made significant contributions toward evaluating the evidence for PGx implementation, the majority of existing guidelines and recommendations are derived primarily from studies conducted in a limited number of ethnic groups. Precision Medicine Initiatives in countries like Korea, Taiwan, and Malaysia and PGx organizations like the African Institute of Biomedical Science and Technology (AiBST), Consortium for Genomics & Therapeutics in Africa (CGTA), implementation of pharmacogenetic testing for the effective care and treatment in Africa, Greater Middle East (GME) whole exome sequencing program, Ibero-American Network of Pharmacogenetics and Pharmacogenomics (RIBEF), Latin American Society of Pharmacogenomics and Personalized Medicine (SOLFAGEM), Latin American Network for Validation and Implementation of Pharmacogenomic Clinical Guidelines (RELIVAF), IndiGen initiative, Southeast Asian Pharmacogenomics Research Network (SEAPharm), are working toward consolidating the PGx presence in these regions.

Precision Medicine↗

PubMed2026

HLA and non-HLA genetic analyses reveal suggestive variants associated with statin-induced liver injury.

BACKGROUND: Statins are widely prescribed for cardiovascular risk reduction and are generally well tolerated. However, they can cause drug-induced liver injury (DILI), and the genetic factors contributing to statin-DILI remain poorly understood. METHODS: HLA association and genome-wide association (GWAS) studies were conducted to identify genetic variants associated with statin-DILI. High-confidence cases (n=71) were identified from the Drug-Induced Liver Injury Network (DILIN) and compared with statin-exposed controls without liver injury (n=551) from the Indiana Biobank. Association testing was performed across ancestries and within ancestry, adjusting for age, sex, and three principal components of genotypes. Top variants were further evaluated in non-statin DILI cases and unexposed controls. In addition, we investigated the frequency of candidate variants among a comprehensive list of pharmacogenetic variants related to statins. RESULTS: HLA-DQA1*03:01 was significantly associated with increased risk of statin-DILI (OR=3.49, 95% CI 2.21-5.51, p-value=1.27×10-7), with enrichment observed across multiple ancestry groups, particularly non-Hispanic Black and Hispanic individuals. From the GWAS, three loci showed suggestive associations (p-value <5×10-06) with statin-DILI, including rs35197737 in RGS1 (OR=5.03, 95% CI 1.11-3.66, p=1.14×10-7), rs75629598 in FRMD4A (OR=4.4, 95% CI=2.33-8.12, p=3.97×10-6), and rs7658630 in the intergenic region on chromosome 4 (OR=4.86, 95% CI 2.66-8.85, p=2.68×10-7). No pharmacogenetic variants revealed statistical significance. CONCLUSION: We identified HLA and non-HLA genetic variants associated with statin DILI. Future studies with larger sample sizes should confirm these observations.

Humans↗

PubMed2026

Organoids in translation: a bench-to-bedside framework for pancreatic cancer precision medicine.

INTRODUCTION: Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies with a 5-year survival rate of < 13%. Standard treatments such as FOLFIRINOX or gemcitabine/nab-paclitaxel yield modest response rates, underscoring the urgent need for precision oncology approaches. Patient-derived organoids (PDOs) preserve the genomic, phenotypic, and histopathological features of the source tumor and offer a promising platform for drug screening, biomarker development, and personalized therapy. However, a systematic evaluation of their translational capacities is lacking. METHODS: A systematic review was conducted according to the PRISMA 2020 guidelines (PROSPERO registration pending) using PubMed, EMBASE, and Cochrane CENTRAL (December 10, 2024) to identify English-language PDAC PDO studies that incorporated therapeutic testing. Ninety-five studies met the inclusion criteria. Data extraction captured >75 variables per study, including spanning culture methodology, therapeutic profiling, biomarker integration, and clinical correlation. A 13-domain weighted Translatability Scoring Framework adapted from Wehling et al. assessed predictive validity, biomarker strength, pharmacogenetics, and clinical trial alignment. Scores ranged from 0 to 5 and were categorized as good (>4.0), moderate (3.0-4.0), or low (<3.0) translational potential. RESULTS: Of the 95 studies, 70.5% have been published since 2021, reflecting the rapid growth in this field. The mean PDO generation success rate was 89.7%, with the primary tumor tissue being the predominant source (48.4%). Only 24.8% were directly linked to clinical trials and 5.3% incorporated multi-omic profiling. The median translatability score was 3.13 (range, 1.72-4.59): 45.3% of the studies had low translatability, 50.5% moderate, and only 4.2% had good translational potential. High-scoring studies consistently combine multi-omic biomarker platforms, in vivo validation, clinical outcome correlation, and prospective trial integration. Conversely, the weakest domains were pharmacogenetics, endpoint strategies, and biomarker validation, limiting their overall clinical relevance. CONCLUSIONS: PDOs have demonstrated strong feasibility and in vitro clinical correlation in PDAC; however, their clinical translation remains constrained by limited multi-omic integration, absence of pharmacogenomic modeling, and sparse clinical trial embedding. Standardization of protocols, adoption of harmonized and clinically relevant endpoints, and systematic incorporation of biomarker-driven co-clinical trial frameworks are urgently needed to transition PDOs from promising experimental surrogates to validating precision oncology tools capable of informing therapeutic decision-making in PDAC.

Humans↗

PubMed2026

Unraveling the Mystery of Pain: A Unique Clinical Encounter and Case Report.

BACKGROUND: The Clinical Pharmacogenetics Implementation Consortium published an updated guideline for opioids and CYP2D6, OPRM1, and COMT in December 2020. These guidelines include recommendations to avoid key opioids in patients who are ultrarapid or poor metabolizers of CYP2D6 to avoid toxicity and optimize efficacy. CASE REPORT: An older woman encountered a letter to the editor in a family magazine regarding genomically based responses to opioids. She reached out for more information and assistance, attesting to continued lack of analgesia to opioids prescribed during occasions of severe pain over the course of many years. A pharmacogenomic analysis proved to be the key to solving her mystery. CONCLUSION: Pharmacogenomic results may provide life-altering information transforming a patient's perspective on health care. Personalized medicine may be a key component in providing objective evidence for opioid treatment efficacy. There is a critical need for both provider and patient education to increase awareness of pharmacogenomics and how it can be applied to effective pharmacotherapy. Research is needed to explore appropriate, effective educational methods.

Humans↗

PubMed2026

Genetic variation in SLCO1B1 is associated with methotrexate intolerance symptoms in juvenile idiopathic arthritis patients.

Methotrexate (MTX) treatment of juvenile idiopathic arthritis (JIA) is complicated by severe intolerance in approximately 30% of patients. MTX intolerance typically presents as nausea (anticipatory and postdose), vomiting, and behavioral symptoms. Although genetic variants in SLCO1B1 have been associated with MTX toxicity in retrospective studies of inflammatory bowel disease, prospective evaluation of this relationship in JIA patients is lacking. This study examined SLCO1B1-MTX intolerance associations accounting for clinical covariates in a prospective observational cohort of patients receiving standard weekly MTX doses (5-25 mg/m2). We performed a zero-inflated Poisson analysis using forward stepwise inclusion of clinical covariates followed by SLCO1B1 alleles. Among 217 JIA patients who completed the MTX Intolerance Severity Score (MISS) survey at 6 ± 2 months post-MTX initiation, the cohort was predominantly female (69.1%), White (76.5%), and received supplementation with folic acid (70.5%). Over 30% of patients met the threshold for MTX intolerance (MISS ≥ 6), and 62.7% of patients reported any MTX intolerance symptoms (MISS > 0). The SLCO1B1*37 allele was associated with lower odds of MISS > 0 (odds ratio = 0.60, P = 0.046) and a lower reported MISS score (incidence rate ratio = 0.74, P < 0.001) among individuals with non-zero intolerance, suggesting protection from MTX intolerance symptoms. These associations were consistent in sensitivity analyses stratified by folic acid supplementation. Further validation of these findings is needed to support future pharmacogenetic-guided MTX dosing strategies, including evaluation of other SLCO1B1 alleles.

individualized medicine↗

PubMed2024

Associations between (pharmaco-)genetic markers and postoperative pain after inguinal hernia repair - a prospective study protocol.

BACKGROUND: Postoperative pain is a common complication following surgery, with severity and duration varying between patients. Chronic postoperative pain after inguinal hernia surgery has an incidence rate of approximately 10%. Risk factors for acute and chronic pain following hernia surgery include age, sex, psychosocial factors, and demographic background. Additionally, genetic polymorphisms in enzymes involved in pain mechanisms, as well as the metabolism of analgesics might influence pain perception, pain development, and response to pain medications. Key enzymes include the catechol-o-methyltransferase (COMT), the µ-opioid receptor 1 (OPRM1), and the cytochrome P450 2D6 (CYP2D6). CYP2D6 plays a crucial role in metabolizing analgesics such as tramadol, codeine, and oxycodone. It is also suspected to be involved in the synthesis of catecholamines and endogenous morphines suggesting a potential role in pathophysiology of pain. We hypothesize that the CYP2D6 activity influences the development of postoperative pain after hernia surgery. METHODS: This study is a prospective, observational, multicenter association study investigating adult patients scheduled for inguinal hernia surgery using a robotic-assisted (rTAPP) approach. Patients are enrolled during the preoperative surgical consultation. A buccal swab is collected for genetic testing at this time. Pain at the site of the hernia is assessed using the validated EuraHSQoL score preoperatively and at 2, 4, and 6 weeks postoperatively. Additionally, information on co-medication and details of the surgery will be collected. The planned number of participants is 350 patients. The primary objective is to analyze the association between different genotype-predicted CYP2D6 phenotypes and patient-reported pain intensity 6 weeks after surgery. Secondary objectives include the association between further genetic variants, such as the COMT rs4680 and OPRM1 rs1799971 genotype, and pain severity. Additionally, the potential of pharmacogenetic panel testing to optimize analgesic therapy in hernia surgery patients will be explored. DISCUSSION: The findings of this study are expected to provide valuable insights into identifying patients at higher risk for postoperative pain before surgery. This knowledge could pave the way for tailored interventions during and after surgery for these specific patients. TRIAL REGISTRATION: Deutsches Register Klinischer Studien https://www.drks.de/DRKS00034796 Registered on August 07, 2024.

Genetic Association Studies↗

PubMed2026

Development of a PCR-based technique for genotyping UGT1A1 gene and distribution of rs3064744 alleles in the Russian population.

BACKGROUND: Accurate determination of tandem thymine-adenine (TA) repeat numbers in the UGT1A1 promoter region (rs3064744) is essential for diagnosing Gilbert's syndrome and personalizing therapy with toxic agents like irinotecan and atazanavir. However, traditional polymerase chain reaction (PCR) assays face severe limitations due to the AT-rich sequence and overlapping melting temperatures (Tm) of the highly homologous 7TA and 8TA alleles. In this context, melting curve analysis (MCA) employing fluorophore-quencher systems has emerged as a promising alternative. The purpose of this study was to develop a novel genotyping approach combining optimized aPCR-MCA analysis with an automated classifier to overcome the limitations posed by the differentiation of highly homologous alleles and to demonstrate its practical application, providing the distribution of rs3064744 genotypes across four regional cohorts of the Russian population. METHODS: A specialized Dual Head 1D-convolutional neural network (1D-CNN) ensemble with Test-Time Augmentation (TTA) was developed. The model was trained and internally validated on 1,620 engineered plasmid samples, and independently evaluated on an external clinical test set of 440 unique patient genomic DNA specimens. Real-time PCR was performed on CFX96 and DTprime platforms. Additionally, population-wide screening was conducted on 997 archival clinical samples from Moscow, Sakha (Yakutia), Dagestan, and Rostov regions. RESULTS: While 5TA and 6TA alleles were easily separated, absolute Tm distributions of 7TA and 8TA alleles overlapped significantly, and non-uniform Tm shifts of 0.8 °C-1.4 °C occurred across platforms. Conventional absolute Tm thresholding was therefore inadequate. By assessing relative morphological curve divergence against co-amplified 7TA/7TA and 7TA/8TA reference anchors, the 1D-CNN ensemble neutralized instrument noise. It achieved 100% accuracy on internal validation and 100% concordance (440/440) with clinical reference pyrosequencing. Population screening revealed that Dagestan, Yakutia, and Rostov cohorts closely align with the European population. Rare 5TA and 8TA alleles were detected at low frequencies in Yakutia and Moscow. CONCLUSION: Combining LNA-modified aPCR-MCA with a comparative 1D-CNN model successfully circumvents thermodynamic limitations and eliminates human operator bias. This integrated system offers an accessible, high-throughput, and clinically valid solution for routine UGT1A1 pharmacogenetic testing.

1D-CNN↗