The effects of sex on pharmacogenetically guided drug treatment.

Tweetable abstract Sex-related pharmacogenetics is emerging area of research to better explain sex discrepancies in drug response. Sex pharmacogenetics should be considered an essential step for personalized medicine.

Proteomics-based prognostic signature and nomogram construction of hypoxia microenvironment on deteriorating glioblastoma (GBM) pathogenesis.

The present study aimed to construct and evaluate a novel experiment-based hypoxia signature to help evaluations of GBM patient status. First, the 426 proteins, which were previously found to be differentially expressed between normal and hypoxia groups in glioblastoma cells with statistical significance, were converted into the corresponding genes, among which 212 genes were found annotated in TCGA. Second, after evaluated by single-variable Cox analysis, 19 different expressed genes (DEGs) with prognostic value were identified. Based on λ value by LASSO, a gene-based survival risk score model, named RiskScore, was built by 7 genes with LASSO coefficient, which were FKBP2, GLO1, IGFBP5, NSUN5, RBMX, TAGLN2 and UBE2V2. Kaplan-Meier (K-M) survival curve analysis and the area under the curve (AUC) were plotted to further estimate the efficacy of this risk score model. Furthermore, the survival curve analysis was also plotted based on the subtypes of age, IDH, radiotherapy and chemotherapy. Meanwhile, immune infiltration, GSVA, GSEA and chemo drug sensitivity of this risk score model were evaluated. Third, the 7 genes expression were evaluated by AUC, overall survival (OS) and IDH subtype in datasets, importantly, also experimentally verified in GBM cell lines exposed to hypoxic or normal oxygen condition, which showed significant higher expression in hypoxia than in normal group. Last, combing the hypoxia RiskScore with clinical and molecular features, a prognostic composite nomogram was generated, showing the good sensitivity and specificity by AUC and OS. Meanwhile, univariate analysis and multivariate analysis were used for performed to identify variables in nomogram that were significant in independently predicting duration of survival. It is a first time that we successfully established and validated an independent prognostic risk model based on hypoxia microenvironment from glioblastoma cells and public database. The 7 key genes may provide potential directions for future biochemical and pharmaco-therapeutic research.

A Decade of Pharmacogenetic Studies in Jordan: A Systemic Review.

The aim of this study was to perform a systematic overview of the pharmacogenetic studies conducted in Jordan. A structured search of Medline was conducted for articles over the last decade (January 2010-July 2020). Studies were classified by design, sample size, drug-gene combination, and the significance of the results. Thirty-two studies met the criteria for review. Most pharmacogenomic studies had a case-only design (n = 23). Only five studies included >500 participants. The total number of genetic variants in all studies was one hundred fifteen, which were found in forty genes, including dynamic (n = 27), and kinetic (n = 9) genes. The most commonly studied drugs were within the hematology and cardiology therapeutic areas and included statins, warfarin, aspirin, and clopidogrel. Most studies (n = 18) reported results with mixed p values [<0.05 and >0.05]. Pharmacogenomic research in Jordan is still in its infancy and is limited mainly to replication attempts. The need for standardization is imperative, especially in developing countries with scarce funding resources.

Rates of genetic testing in patients prescribed drugs with pharmacogenomic information in FDA-approved labeling.

This study examined rates of genetic testing in two cohorts of publicly insured individuals who have newly prescribed medication with FDA pharmacogenomic labeling guidance. Genetic testing was rare (4.4% and 10.5% in Medicaid and Medicare cohorts, respectively) despite the fact that all participants selected were taking medications that contained pharmacogenomic labeling information. When testing was conducted it was typically done before the initial use of a target medication. Factors that emerged as predictors of the likelihood of undergoing genetic testing included White ethnicity (vs. Black), female gender, and age. Cost analyses indicated higher expenditures in groups receiving genetic testing vs. matched comparators with no genetic testing, as well as disparities between proactively and reactively tested groups (albeit in opposite directions across cohorts). Results are discussed in terms of the possible reasons for the low base rate of testing, mechanisms of increased cost, and barriers to dissemination and implementation of these tests.

Machine learning identifies candidates for drug repurposing in Alzheimer's disease.

Clinical trials of novel therapeutics for Alzheimer's Disease (AD) have consumed a large amount of time and resources with largely negative results. Repurposing drugs already approved by the Food and Drug Administration (FDA) for another indication is a more rapid and less expensive option. We present DRIAD (Drug Repurposing In AD), a machine learning framework that quantifies potential associations between the pathology of AD severity (the Braak stage) and molecular mechanisms as encoded in lists of gene names. DRIAD is applied to lists of genes arising from perturbations in differentiated human neural cell cultures by 80 FDA-approved and clinically tested drugs, producing a ranked list of possible repurposing candidates. Top-scoring drugs are inspected for common trends among their targets. We propose that the DRIAD method can be used to nominate drugs that, after additional validation and identification of relevant pharmacodynamic biomarker(s), could be readily evaluated in a clinical trial.

Actionable pharmacogenetic variants in Hong Kong Chinese exome sequencing data and projected prescription impact in the Hong Kong population.

Preemptive pharmacogenetic testing has the potential to improve drug dosing by providing point-of-care patient genotype information. Nonetheless, its implementation in the Chinese population is limited by the lack of population-wide data. In this study, secondary analysis of exome sequencing data was conducted to study pharmacogenomics in 1116 Hong Kong Chinese. We aimed to identify the spectrum of actionable pharmacogenetic variants and rare, predicted deleterious variants that are potentially actionable in Hong Kong Chinese, and to estimate the proportion of dispensed drugs that may potentially benefit from genotype-guided prescription. The projected preemptive pharmacogenetic testing prescription impact was evaluated based on the patient prescription data of the public healthcare system in 2019, serving 7.5 million people. Twenty-nine actionable pharmacogenetic variants/ alleles were identified in our cohort. Nearly all (99.6%) subjects carried at least one actionable pharmacogenetic variant, whereas 93.5% of subjects harbored at least one rare deleterious pharmacogenetic variant. Based on the prescription data in 2019, 13.4% of the Hong Kong population was prescribed with drugs with pharmacogenetic clinical practice guideline recommendations. The total expenditure on actionable drugs was 33,520,000 USD, and it was estimated that 8,219,000 USD (24.5%) worth of drugs were prescribed to patients with an implicated actionable phenotype. Secondary use of exome sequencing data for pharmacogenetic analysis is feasible, and preemptive pharmacogenetic testing has the potential to support prescription decisions in the Hong Kong Chinese population.

Pharmacogenomics in the UK National Health Service: opportunities and challenges.

Despite increasing interest in pharmacogenomics, and the potential benefits to improve patient care, implementation into clinical practice has not been widespread. Recently, there has been a drive to implement genomic medicine into the UK National Health Service (NHS), largely spurred on by the success of the 100,000 Genomes Project. The UK Pharmacogenetics and Stratified Medicine Network, NHS England and Genomics England invited experts from academia, the healthcare sector, industry and patient representatives to come together to discuss the opportunities and challenges of implementing pharmacogenomics into the NHS. This report highlights the discussions of the workshop to provide an overview of the issues that need to be considered to enable pharmacogenomic medicine to become mainstream within the NHS.

Unraveling heterogeneity of the clinical pharmacogenomic guidelines in oncology practice among major regulatory bodies.

Pharmacogenomics (PGx) implementation in clinical practice is steadily increasing. PGx uses genetic information to personalize medication use, which increases medication efficacy and decreases side effects. The availability of clinical PGx guidelines is essential for its implementation in clinical settings. Currently, there are few organizations/associations responsible for releasing those guidelines, including the Clinical Pharmacogenetics Implementation Consortium, Dutch Pharmacogenetics Working Group, the Canadian Pharmacogenomics Network for Drug Safety and the French National Network of Pharmacogenetics. According to the US FDA, oncology medications are highly correlated to PGx biomarkers. Therefore, summarizing the PGx guidelines for oncology drugs will positively impact the clinical decisions for cancer patients. This review aims to scrutinize side-by-side available clinical PGx guidelines in oncology.

[Recommendations for performing pharmacogenetic tests in drug monographs in Canada, France and the United States]. / Recommandations relatives à la réalisation de tests de pharmacogénétique dans les monographies de médicaments au Canada, en France et aux États-Unis.

INTRODUCTION: Pharmacogenetics represents an opportunity in pharmaceutical practice. There are many documentary resources to support the pharmacist's work in this area. OBJECTIVE: To compare the recommendations for carrying out pharmacogenetic tests from a documentary source in three countries: the United States, Canada and United France. METHOD: This is a cross-sectional descriptive study. Based on the recommendations of the Clinical Pharmacogenetics Implementation Consortium type A (the highest threshold justifying the use of a pharmacogenetic test), we identified the drug-gene pairs (23 pairs). The proposed pairs involve a total of 47 separate international nonproprietary names and 18 genes. For each drug-gene pair, we consulted three open access documentary sources (one for each target country), namely the pharmaceutical products database (DPD) for Canada, the product characteristic summary (SPC) for France and the Micromedex® monograph (IBM, Truven Health Analytics, MI, USA) for the United States. The study was conducted in September 2019. RESULTS: About a third of the drug-gene pairs are explicitly mentioned by the gene to be targeted and by the test suggested in the documentary sources consulted. Of the 23 pairs identified by the CPIC, thirteen pairs contain "consistent" recommendations between the three documentary sources. CONCLUSION: There is great heterogeneity regarding the recommendations for pharmacogenetic tests from three documentary sources used by pharmacists to monitor drug therapy in the United States, Canada and France. There is an urgent need to standardize the requirements for nomenclature, description and the need to use pharmacogenetic tests to ensure proper use of drugs and these tests in the clinic.

Hsp70 Gene Polymorphisms Are Associated With Disease Susceptibility and HRQOL Improvement in Chinese Han Population With Systemic Lupus Erythematosus.

OBJECTIVES: The aim of this study is to investigate whether heat shock protein 70 (Hsp70) gene polymorphisms are implicated in systemic lupus erythematous (SLE) susceptibility, the efficacy of glucocorticoids (GCs) treatment, and improvement of health-related quality of life. METHODS: A total of 499 SLE patients and 499 controls were included in a case-control study, and 468 SLE patients treated with GCs for 12 weeks were involved in a follow-up study. Patients who completed the 12-week follow-up were divided into GCs-sensitive and GCs-insensitive group by using the SLE disease activity index. The SF-36 was used to evaluate the health-related quality of life of SLE patients, and genotyping was performed by improved multiplex ligation detection reaction. RESULTS: rs2075800 was associated with SLE susceptibility (adjusted odds ratio [ORadj], 1.437; 95% confidence interval [CI], 1.113-1.855; Padj = 0.005; PBH = 0.020 by dominant model; ORadj, 1.602; 95% CI, 1.072-2.395; Padj = 0.022; PBH = 0.029 by TT vs CC model; ORadj = 1.396; 95% CI = 1.067-1.826; Padj = 0.015; PBH = 0.029 by TC vs CC model). In the follow-up study, rs2075799 was associated with the improvement in mental health (p = 0.004, PBH = 0.044), but we failed to find any association between the efficacy of GCs and Hsp70 gene polymorphisms. CONCLUSIONS: Hsp70 gene polymorphisms may be associated with susceptibility to SLE and improvement of mental health in Chinese Han population.

A survey of precision diagnosis and management capacity of pulmonary embolism in 90 hospitals of China.

OBJECTIVE: To conduct a survey of diagnostic facility and therapeutic capability of Pulmonary thromboembolism (PE) in 90 hospitals throughout China. METHOD: It was a cross-sectional study among the participating hospitals of the National Key Research & Development Program of China-the Precision Research of Standardized Management and Application of Pulmonary Thromboembolism to obtain the equipment and application of radiological facility to diagnose PE, laboratory tests for thrombophilia, coagulation function and the availability of anticoagulants and thrombolysis agents. RESULTS: CT pulmonary arteriography is capable in all 90 hospitals, 71.11% of the hospitals could perform ventilation/perfusion scintigraphy, 24.44% of the hospitals do not routinely perform right heart evaluation by echocardiography. Protein C and protein S activity can be detected in half of the hospitals and warfarin pharmacogenomics tests can be conducted in 40 hospitals. Immune turbidimetry was used as the detection method of D-dimer in 72.37% hospitals. About 81.11% of participating hospitals were equipped with new novel oral anticoagulants, all of which were equipped with Rivaroxaban. CONCLUSION: The hospitals are capable for standardized diagnosis and management PE, while the capability of precise stratification, coagulation function tests, thrombophilia screening and pharmacogenomics requires further improvement.

Stakeholder perspectives of the clinical utility of pharmacogenomic testing in solid organ transplantation.

Aims: To assess stakeholder perspectives regarding the clinical utility of pharmacogenomic (PGx) testing following kidney, liver, and heart transplantation. Methods: We conducted individual semi-structured interviews and focus groups with kidney, liver, and heart transplantation patients and providers. We analyzed the qualitative data to identify salient themes. Results: The study enrolled 36 patients and 24 providers. Patients lacked an understanding about PGx, but expressed interest in PGx testing. Providers expressed willingness to use PGx testing, but reported barriers to implementation, such as lack of knowledge, lack of evidence demonstrating clinical utility, and patient healthcare burden. Conclusion: Patient and provider educational efforts, including foundational knowledge, clinical evidence, and applications to patient care beyond just immunosuppression, may be useful to facilitate the use of PGx testing in transplant medicine.

Southeast Asian Pharmacogenomics Research Network (SEAPharm): Current Status and Perspectives.

Pharmacogenomics (PGx) is increasingly being recognized as a potential tool for improving the efficacy and safety of drug therapy. Therefore, several efforts have been undertaken globally to facilitate the implementation process of PGx into routine clinical practice. Part of these efforts include the formation of PGx working groups working on PGx research, synthesis, and dissemination of PGx data and creation of PGx implementation strategies. In Asia, the Southeast Asian Pharmacogenomics Research Network (SEAPharm) is established to enable and strengthen PGx research among the various PGx communities within but not limited to countries in SEA; with the ultimate goal to support PGx implementation in the region. From the perspective of SEAPharm member countries, there are several key elements essential for PGx implementation at the national level. They include pharmacovigilance database, PGx research, health economics research, dedicated laboratory to support PGx testing for both research and clinical use, structured PGx education, and supportive national health policy. The status of these essential elements is presented here to provide a broad picture of the readiness for PGx implementation among the SEAPharm member countries, and to strengthen the PGx research network and practice in this region.

Use of pharmacogenetic data to guide individualized opioid prescribing after surgery.

BACKGROUND: Despite the current strategies aimed at avoiding opioid overprescription by implementing institutional guidelines, the use of opioids after surgical procedures remains highly variable. It is well known that opioids are activated by the cytochrome p450 CYP2D6 enzyme to exert pharmacologic effect. Individual variation in CYP2D6 activity affects drug metabolism, and genotyping can be performed to predict an individual's ability to metabolize CYP2D6 substrates. We postulate that the pharmacogenomic identification of patients with different opioid metabolism capacity may allow for the individualization of postsurgical opioid prescription. METHODS: This study was generated by the unison of data from 2 prior initiatives taking place at our Institution. In the first study, patients undergoing 1 of 25 elective surgical procedures were prospectively identified as part of a quality initiative and surveyed by phone 21 to 35 days after hospital discharge to complete a 29-question survey regarding opioid utilization and pain experience. Additional chart abstraction was conducted to obtain prescribing data and pain scores during the hospitalization. The second study was the Mayo Clinic Right Drug, Right Dose, Right Time study protocol, in which 5 pharmacogenes, including CYP2D6, were genotyped for 1,000 Mayo Clinic Biobank participants. The goal of this study was to implement preemptive pharmacogenomics in an academic health care setting and to generate data for further pharmacogenomic research. Patients were classified by their predicted CYP2D6 activity based on their CYP2D6 genotype. RESULTS: Of the 2,486 patients with prospective opioid utilization data, 21 had pharmacogenetic data available and were included in the analysis. These patients were classified according to their activity as opioid metabolizers, with 10 patients (48%) classified as intermediate, 4 patients (19%) as intermediate to normal, and 7 patients (33%) as normal or extensive. Compared with the intermediate to normal and intermediate phenotypes, normal or extensive patients had the highest percentages of preoperative opioid naivety and recorded pain scores throughout the surgical experience. The percentage of unused opioids for intermediate, intermediate to normal, and normal or extensive categories was 79%, 63%, and 46%, respectively. Moreover, of the 14 patients declaring the highest level of satisfaction for their pain control after discharge, 60% belonged to intermediate, 100% to intermediate to normal, and 57% to the normal or extensive group. CONCLUSION: This study outlines a possible correlation between genetically controlled metabolism and opioid requirements after surgery. In this setting, an increased CYP2D6 enzymatic activity was associated to a greater opioid consumption, lesser amount of unused opioids, and a lower satisfaction level from opioid prescription.

A comparative study of the depth, breadth, and perception of pharmacogenomics instruction in a subgroup of US pharmacy curricula.

INTRODUCTION: This study was designed to assess the depth, breadth, and perception of pharmacogenomics education in pharmacy curricula in the United States (US). METHODS: A modified, online questionnaire from previous studies was sent to all accredited US schools and colleges of pharmacy. The survey covered three distinct areas related to the schools' educational environments, the depth and the extent of pharmacogenomics core competencies and topics taught, and the institutions' perceptions of the importance of pharmacogenomics in the curriculum and future plans for expanded pharmacogenomics education. Multiple approaches were used to increase the response rate, and results were analyzed using descriptive statistics. RESULTS: Of the 133 eligible programs, 32 participated in the survey. Six invalid surveys were excluded from our study, resulting in a 19.6% response rate. Results revealed that all responding schools included pharmacogenomics in the curriculum. Interestingly, 76.9% of the respondents believed pharmacists do not have the appropriate knowledge of pharmacogenomics. However, only 30.7% indicated that their programs planned to expand pharmacogenomics in their curriculum. CONCLUSIONS: The responding schools all included some pharmacogenomics in their curriculum. However, the depth and the extent of pharmacogenomics topics covered varied. Respondents perceived that pharmacists today do not possess the appropriate level of pharmacogenomics knowledge. Despite this, there is limited emphasis on expanding pharmacogenomics instruction in the responding schools' curriculums.

Implementation and obstacles of pharmacogenetics in clinical practice: An international survey.

AIMS: Eight years ago, a paper-based survey was administered during the World Pharma 2010 meeting, asking about the challenges of implementing pharmacogenetics (PGx) in clinical practice. The data collected at the time gave an idea about the progress of this implementation and what still needs to be done. Since then, although there have been major initiatives to push PGx forward, PGx clinical implementation may still be facing different challenges in different parts of the world. Our aim was therefore to distribute a follow-up international survey in electronic format to elucidate an overview on the current stage of implementation, acceptance and challenges of PGx in academic institutions around the world. METHODS: This is an online anonymous LimeSurvey-based study launched on 11 November 2018. Survey questions were adapted from the initially published manuscript in 2010. An extensive web search for worldwide scientists potentially involved in PGx research resulted in a total of 1973 names. Countries were grouped based on the Human Development Index. RESULTS: There were 204 respondents from 43 countries. Despite the wide availability of PGx tests, the consistently positive attitude towards their applications and advances in the field, progress of the clinical implementation of PGx still faces many challenges all around the globe. CONCLUSIONS: Clinical implementation of PGx started over a decade ago but there is a gap in progress around the globe and discrepancies between the challenges reported by different countries, despite some challenges being universal. Further studies on ways to overcome these challenges are warranted.

Implementing pharmacogenetic testing in rural primary care practices: a pilot feasibility study.

Aim: Assess feasibility and perspectives of pharmacogenetic testing/PGx in rural, primary care physician (PCP) practices when PCPs are trained to interpret/apply results and testing costs are covered. Methods: Participants included PCPs who agreed to training, surveys and interviews and eligible patients who agreed to surveys and testing. 51 patients from three practices participated. Results: Prestudy, no PCP had ever ordered a PGx test. Test results demonstrated gene variations in 30% of patients, related to current medications, with PCPs reporting changes to drug management. Poststudy, test cost was still a concern, but now PCPs reported practical barriers, including the utilization of PGx results over time. PCPs and patients had favorable responses to testing. Summary: PGx testing is feasible in rural PCP practices.

Contemporary pharmacogenetic assays in view of the PharmGKB database.

AIM: Six modern PGx assays were compared with the Pharmacogenomics Knowledge Base (PharmGKB) to determine the proportion of the currently known PGx genotypes that are assessed by these assays. MATERIALS & METHODS: Investigated assays were 'Ion AmpliSeq Pharmacogenomics', 'iPLEX PGx Pro', 'DMET Plus,' 'PharmcoScan,' 'Living DNA' and '23andMe.' RESULTS: PharmGKB contains 3474 clinical annotations of which 75, 70 and 45% can be determined by PharmacoScan, Living DNA and 23andMe, respectively. The other assays are designed to test a specific subset of PGx variants. CONCLUSION: Assaying all known PGx variants would only comprise a minor fraction of the current assays' capacity. Unfortunately, this is not achieved. Moreover, not necessarily the variants with the highest effects or the highest evidence are selected.

AICM: A Genuine Framework for Correcting Inconsistency Between Large Pharmacogenomics Datasets.

The inconsistency of open pharmacogenomics datasets produced by different studies limits the usage of such datasets in many tasks, such as biomarker discovery. Investigation of multiple pharmacogenomics datasets confirmed that the pairwise sensitivity data correlation between drugs, or rows, across different studies (drug-wise) is relatively low, while the pairwise sensitivity data correlation between cell-lines, or columns, across different studies (cell-wise) is considerably strong. This common interesting observation across multiple pharmacogenomics datasets suggests the existence of subtle consistency among the different studies (i.e., strong cell-wise correlation). However, significant noises are also shown (i.e., weak drug-wise correlation) and have prevented researchers from comfortably using the data directly. Motivated by this observation, we propose a novel framework for addressing the inconsistency between large-scale pharmacogenomics data sets. Our method can significantly boost the drug-wise correlation and can be easily applied to re-summarized and normalized datasets proposed by others. We also investigate our algorithm based on many different criteria to demonstrate that the corrected datasets are not only consistent, but also biologically meaningful. Eventually, we propose to extend our main algorithm into a framework, so that in the future when more datasets become publicly available, our framework can hopefully offer a "ground-truth" guidance for references.

Pharmacogenetic testing in the Veterans Health Administration (VHA): policy recommendations from the VHA Clinical Pharmacogenetics Subcommittee.

PURPOSE: The Veterans Health Administration (VHA) Clinical Pharmacogenetics Subcommittee is charged with making recommendations about whether specific pharmacogenetic tests should be used in healthcare at VHA facilities. We describe a process to inform VHA pharmacogenetic testing policy. METHODS: After developing consensus definitions of clinical validity and utility, the Subcommittee identified salient drug-gene pairs with potential clinical application in VHA. Members met monthly to discuss each drug-gene pair, the evidence of clinical utility for the associated pharmacogenetic test, and any VHA-specific testing considerations. The Subcommittee classified each test as strongly recommended, recommended, or not routinely recommended before drug initiation. RESULTS: Of 30 drug-gene pair tests reviewed, the Subcommittee classified 4 (13%) as strongly recommended, including HLA-B*15:02 for carbamazepine-associated Stevens-Johnston syndrome and G6PD for rasburicase-associated hemolytic anemia; 12 (40%) as recommended, including CYP2D6 for codeine toxicity; and 14 (47%) as not routinely recommended, such as CYP2C19 for clopidogrel dosing. CONCLUSION: Only half of drug-gene pairs with high clinical validity received Subcommittee support for policy promoting their widespread use across VHA. The Subcommittee generally found insufficient evidence of clinical utility or available, effective alternative strategies for the remainders. Continual evidence review and rigorous outcomes research will help promote the translation of pharmacogenetic discovery to healthcare.