Pharmacogenomics Journal最新文献

In view of the limited data related to preemptive pharmacogenomics (PGx) testing in the primary care setting, we designed a study to assess the feasibility of implementing preemptive PGx services at outpatient clinics, with the aim to assess the practicality and challenges of implementing preemptive PGx testing within primary care, and its impact on clinical workflows and patient care. This prospective study was conducted between October 2022 and August 2023 at five outpatient clinics located in Singapore. Patients aged 21 to 65 with a reported history or risk of developing any of the target chronic conditions or any patients receiving one of the 29 PGx-associated medications were recruited. Patients' buccal samples were processed using a multi-gene qPCR-based panel of 21 allele variants of five pharmacogenes. Surveys were administered to study participants and clinicians to assess their perceptions and outcomes related to PGx testing. Among the 222 patients, 95% had at least one clinically actionable variant. Of these patients, 113 reported taking at least one of the 29 studied drugs, with 21.2% of them receiving at least one clinically actionable recommendation based on their PGx results. A total of 150 patients (67.6%) participated in the post-test follow-up survey. Among them, 70% expressed feeling relieved and happy upon receiving their test reports and reported increased confidence in taking their prescribed medication. Furthermore, clinicians identified the necessity for clearer legal regulations regarding PGx testing and insurance coverage to enhance future adoption of PGx testing. Given a high prevalence of clinically actionable variants in almost all tested patients, this study underscores the feasibility and clinical benefits of preemptive PGx testing in primary care clinics in Singapore.Clinical Trial Registration: This study is registered with ClinicalTrials.gov, identifier NCT05504135, with the registration date of August 17, 2022.

Tacrolimus (TAC) is one of the most widely prescribed maintenance immunosuppressant drugs in solid organ transplantation. Kidney transplantation is often the preferred treatment for patients with the kidney failure and is complemented with TAC treatment. TAC treatment is often associated with adverse drug events, which can be reduced by pharmacogenomic (PGx)-guided prescription. We conducted a cost-utility analysis to assess the cost-effectiveness of PGx-guided TAC treatment versus the conventional scheme in patients who recently underwent kidney transplantation in Slovenia. Clinical data were collected from the PREPARE study. The effectiveness of the treatment was determined by mean survival and utility values and Incremental Cost-Effectiveness Ratio was also calculated. Costs of PGx-guided treatment was comparable to conventional treatment but shared reduced risk for severe ADEs and 43% improved quality of life. PGx-guided arm showed a mean of 0.956 Quality-Adjusted Life Years (QALYs) (95% CI: 0.900-1.014) compared to 0.862 QALYs (95%CI: 0.801-0.918) in the other arm. Probabilistic sensitivity analyses confirmed the results' robustness. In conclusion, PGx-guided treatment represents a cost-effective option for the TAC treatment of kidney-transplanted patients in the Slovenian healthcare setting.

Reliable estimates for the number of cancer patients with a specific mutation can help quantify the size of the population that could potentially benefit from a targeted therapy. We adapt our previously developed approach for estimating gene-level mutation abundances to estimate mutation-specific (e.g., KRAS G12C) abundances by combining United States cancer epidemiology and genomic data. We demonstrate the approach by obtaining population-level estimates for all acquired somatic missense mutations that create a de novo cysteine residue. We find that approximately 14% of non-epidemiological informed estimates are more than twice the epidemiological informed estimate. Non-epidemiologically informed pan-cancer estimation of mutation rates may not be representative of the number of cancer patients with a specific mutation. Our study suggests that epidemiological and genomic information should be combined when estimating the population level abundance of specific pathogenic mutations.

Liver transplantation is the only curative option for patients with advanced stages of liver disease, with tacrolimus used as the immunosuppressive drug of choice. Genetic variability can interfere with drug response, potentially leading to overexposure or underexposure. This study aims to investigate the association of CYP3A4 (rs2740574, rs2242480, rs35599367), CYP3A5 (rs776746, rs10264272), POR (rs1057868) and ABCB1 (rs1128503, rs2229109, rs9282564) gene polymorphisms with infection, acute rejection, and renal failure. The logistic regression model found an influence of CYP3A5 (rs776746) and POR28 (rs1057868) on the development of acute rejection after liver transplantation (p = 0.028). It also found an association between carriers of the variant allele of the POR*28 gene and infection.

Prediction of treatment response by genetic biomarkers has potential for clinical use and contributes to the understanding of pathophysiology and drug mechanism of action. The purpose of this study is to detect genetic biomarkers possibly associated with response to lurasidone, during the first four weeks of treatment. One-hundred and seventy-one acutely psychotic patients from two placebo-controlled clinical trials of lurasidone were included. Genetic associations with changes in Positive and Negative Syndrome Scale total score at weeks one, two, and four were examined. Genotyping was done with the Affymetrix 6.0 microarray and associations were computed using PLINK regression model. Although genome-wide significance was not reached with a limited sample size, signals of potential interest for further studies were with genes important for neurogenesis. Possible week one marker, rs6459950 (p = 7.05 × 10^-7), was close to the sonic hedgehog gene (SHH), involved in neuronal differentiation and neurogenesis. Possible week two marker, rs7435958, was a SNP of GABRB1, encoding the GABA_A Receptor β1. Notably, possible week four signals included a SNP within PTCH1, a specific receptor for the SHH, the possible week one marker. Pathway analysis supported the possibility that neurogenesis might be involved in early antipsychotic response. Tissue enrichment analysis suggested that potential signals were enriched in anterior cingulate cortex, reported to be relevant in antipsychotic action. This is the first study to examine genes possibly associated with very early response to lurasidone. Further replication studies in larger sample size should be required.

The pathogenesis of cancer is complicated, and different types of cancer often exhibit different gene mutations resulting in different omics profiles. The purpose of this study was to systematically identify cancer-specific biological pathways and potential cancer-targeting drugs. We collectively analyzed the transcriptomics and proteomics data from 16 common types of human cancer to study the mechanism of carcinogenesis and seek potential treatment. Statistical approaches were applied to identify significant molecular targets and pathways related to each cancer type. Potential anti-cancer drugs were subsequently retrieved that can target these pathways. The number of significant pathways linked to each cancer type ranged from four (stomach cancer) to 112 (acute myeloid leukemia), and the number of therapeutic drugs that can target these cancer related pathways, ranged from one (ovarian cancer) to 97 (acute myeloid leukemia and non-small-cell lung carcinoma). As a validation of our method, some of these drugs are FDA approved therapies for their corresponding cancer type. Our findings provide a rich source of testable hypotheses that can be applied to deconvolute the complex underlying mechanisms of human cancer and used to prioritize and repurpose drugs as anti-cancer therapies.

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.