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2.
Int J Mol Sci ; 25(17)2024 Aug 29.
Artículo en Inglés | MEDLINE | ID: mdl-39273318

RESUMEN

The paradigm "one drug fits all" or "one dose fits all" will soon be challenged by pharmacogenetics research and application. Drug response-efficacy or safety-depends on interindividual variability. The current clinical practice does not include genetic screening as a routine procedure and does not account for genetic variation. Patients with the same illness receive the same treatment, yielding different responses. Integrating pharmacogenomics in therapy would provide critical information about how a patient will respond to a certain drug. Worldwide, great efforts are being made to achieve a personalized therapy-based approach. Nevertheless, a global harmonized guideline is still needed. Plasma membrane proteins, like receptor tyrosine kinase (RTK) and G protein-coupled receptors (GPCRs), are ubiquitously expressed, being involved in a diverse array of physiopathological processes. Over 30% of drugs approved by the FDA target GPCRs, reflecting the importance of assessing the genetic variability among individuals who are treated with these drugs. Pharmacogenomics of transmembrane protein receptors is a dynamic field with profound implications for precision medicine. Understanding genetic variations in these receptors provides a framework for optimizing drug therapies, minimizing adverse reactions, and advancing the paradigm of personalized healthcare.


Asunto(s)
Farmacogenética , Medicina de Precisión , Receptores Acoplados a Proteínas G , Humanos , Farmacogenética/métodos , Medicina de Precisión/métodos , Receptores Acoplados a Proteínas G/genética , Receptores Acoplados a Proteínas G/metabolismo , Variación Genética
3.
J Am Coll Cardiol ; 84(12): 1107-1118, 2024 Sep 17.
Artículo en Inglés | MEDLINE | ID: mdl-39260933

RESUMEN

The clinical efficacy and safety of antiplatelet agents vary among patients. Consequently, some patients are at increased risk of recurrent ischemic events during treatment. This interindividual variability can be a result of genetic variants in enzymes that play a role in drug metabolism. The field of pharmacogenomics explores the influence of these genetic variants on an individual's drug response. Tailoring antiplatelet treatment based on genetic variants can potentially result in optimized dosing or a change in drug selection. Most evidence supports guiding therapy based on the CYP2C19 allelic variants in patients with an indication for dual antiplatelet therapy. In ticagrelor-treated or prasugrel-treated patients, a genotype-guided de-escalation strategy can reduce bleeding risk, whereas in patients treated with clopidogrel, an escalation strategy may prevent ischemic events. Although the clinical results are promising, few hospitals have implemented these strategies. New results, technological advancements, and growing experience may potentially overcome current barriers for implementation in the future.


Asunto(s)
Genotipo , Inhibidores de Agregación Plaquetaria , Humanos , Inhibidores de Agregación Plaquetaria/uso terapéutico , Inhibidores de Agregación Plaquetaria/administración & dosificación , Citocromo P-450 CYP2C19/genética , Farmacogenética/métodos , Clorhidrato de Prasugrel/uso terapéutico , Clorhidrato de Prasugrel/administración & dosificación
4.
OMICS ; 28(9): 442-460, 2024 09.
Artículo en Inglés | MEDLINE | ID: mdl-39136110

RESUMEN

Digital health, an emerging scientific domain, attracts increasing attention as artificial intelligence and relevant software proliferate. Pharmacogenomics (PGx) is a core component of precision/personalized medicine driven by the overarching motto "the right drug, for the right patient, at the right dose, and the right time." PGx takes into consideration patients' genomic variations influencing drug efficacy and side effects. Despite its potentials for individually tailored therapeutics and improved clinical outcomes, adoption of PGx in clinical practice remains slow. We suggest that e-health tools such as clinical decision support systems (CDSSs) can help accelerate the PGx, precision/personalized medicine, and digital health emergence in everyday clinical practice worldwide. Herein, we present a systematic review that examines and maps the PGx-CDSSs used in clinical practice, including their salient features in both technical and clinical dimensions. Using Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines and research of the literature, 29 relevant journal articles were included in total, and 19 PGx-CDSSs were identified. In addition, we observed 10 technical components developed mostly as part of research initiatives, 7 of which could potentially facilitate future PGx-CDSSs implementation worldwide. Most of these initiatives are deployed in the United States, indicating a noticeable lack of, and the veritable need for, similar efforts globally, including Europe.


Asunto(s)
Sistemas de Apoyo a Decisiones Clínicas , Farmacogenética , Medicina de Precisión , Medicina de Precisión/métodos , Humanos , Farmacogenética/métodos , Salud Digital
5.
Int J Mol Sci ; 25(16)2024 Aug 16.
Artículo en Inglés | MEDLINE | ID: mdl-39201627

RESUMEN

Tramdol is one of most popular opioids used for postoperative analgesia worldwide. Among Arabic countries, there are reports that its dosage is not appropriate due to cultural background. To provide theoretical background of the proper usage of tramadol, this study analyzed the association between several genetic polymorphisms (CYP2D6/OPRM1) and the effect of tramadol. A total of 39 patients who took tramadol for postoperative analgesia were recruited, samples were obtained, and their DNA was extracted for polymerase chain reaction products analysis followed by allelic variations of CYP2D6 and OPRM A118G determination. Numerical pain scales were measured before and 1 h after taking tramadol. The effect of tramadol was defined by the difference between these scales. We concluded that CYP2D6 and OPRM1 A118G single nucleotide polymorphisms may serve as crucial determinants in predicting tramadol efficacy and susceptibility to post-surgical pain. Further validation of personalized prescription practices based on these genetic polymorphisms could provide valuable insights for the development of clinical guidelines tailored to post-surgical tramadol use in the Arabic population.


Asunto(s)
Analgésicos Opioides , Árabes , Citocromo P-450 CYP2D6 , Dolor Postoperatorio , Receptores Opioides mu , Tramadol , Adulto , Anciano , Femenino , Humanos , Masculino , Persona de Mediana Edad , Analgésicos Opioides/uso terapéutico , Árabes/genética , Citocromo P-450 CYP2D6/genética , Dolor Postoperatorio/tratamiento farmacológico , Dolor Postoperatorio/genética , Farmacogenética/métodos , Polimorfismo de Nucleótido Simple , Receptores Opioides mu/genética , Tramadol/uso terapéutico
6.
Pharmacogenomics J ; 24(5): 25, 2024 Aug 09.
Artículo en Inglés | MEDLINE | ID: mdl-39122683

RESUMEN

Pharmacogenetic testing in the United Kingdom's National Health Service (NHS) has historically been reactive in nature, undertaken in the context of single gene-drug relationships in specialist settings. Using a discrete choice experiment we aimed to identify healthcare professional preferences for development of a pharmacogenetic testing service in primary care in the NHS. Respondents, representing two professions groups (general practitioners or pharmacists), completed one of two survey versions, asking them to select their preferred pharmacogenetic testing service in the context of a presentation of low mood or joint pain. Responses from 235 individuals were included. All respondents preferred pharmacogenetic testing over no testing, though preference heterogeneity was identified. Both professional groups, but especially GPs, were highly sensitive to service design, with uptake varying depending on the service offered. This study demonstrates uptake of a pharmacogenetic testing service is impacted by service design and highlights key areas which should be prioritised within future initiatives.


Asunto(s)
Médicos Generales , Farmacéuticos , Pruebas de Farmacogenómica , Atención Primaria de Salud , Humanos , Pruebas de Farmacogenómica/métodos , Masculino , Femenino , Reino Unido , Adulto , Persona de Mediana Edad , Actitud del Personal de Salud , Encuestas y Cuestionarios , Conducta de Elección , Farmacogenética/métodos
7.
Pharmacogenomics ; 25(7): 329-341, 2024.
Artículo en Inglés | MEDLINE | ID: mdl-39109483

RESUMEN

Calcineurin inhibitors (CNIs) are the mainstay of immunosuppression in kidney transplantation. Interpatient variability in the disposition of calcineurin inhibitors is a well-researched phenomenon and has a well-established genetic contribution. There is great diversity in the makeup of African genomes, but very little is known about the pharmacogenetics of CNIs and transplant outcomes. This review focuses on genetic variants of calcineurin inhibitors' metabolizing enzymes (CYP3A4, CYP3A5), related molecules (POR, PPARA) and membrane transporters involved in the metabolism of calcineurin inhibitors. Given the genetic diversity across the African continent, it is imperative to generate pharmacogenetic data, especially in the era of personalized medicine and emphasizes the need for studies specific to African populations. The study of allelic variants in populations where they have greater frequencies will help answer questions regarding their impact. We aim to fill the knowledge gaps by reviewing existing research and highlighting areas where African research can contribute.


Research on the pharmacogenetics of calcineurin inhibitors in kidney transplant recipients is truly wanting in data from the African continent. Given Africa's vast genetic diversity, it is necessary to intensify efforts to generate data from Africa in this field.


Asunto(s)
Inhibidores de la Calcineurina , Inmunosupresores , Trasplante de Riñón , Farmacogenética , Humanos , Inhibidores de la Calcineurina/uso terapéutico , Trasplante de Riñón/tendencias , Farmacogenética/métodos , Inmunosupresores/uso terapéutico , Receptores de Trasplantes , Población Negra/genética , Citocromo P-450 CYP3A/genética , África
8.
In Vivo ; 38(5): 2098-2106, 2024.
Artículo en Inglés | MEDLINE | ID: mdl-39187310

RESUMEN

BACKGROUND/AIM: Genomic variants can predispose individuals to adverse drug effects (ADEs), implying the potential for personalised therapy based on genetic data to prevent them. However, existing pharmacogenomic databases lack a comprehensive list of such variants due to irregular updates and incomplete literature coverage. To facilitate the assessment of the feasibility of using pharmacogenetic testing on a larger scale and identify existing gaps in the literature, this study sought to compile a comprehensive list of genomic variants associated with ADEs, with a focus on serious ADEs. PATIENTS AND METHODS: To identify relevant pharmacogenetic studies within randomised controlled trials (RCTs), post-hoc studies of RCTs and meta-analyses, two literature searches were performed across multiple databases. The compiled list of variants associated with ADEs was refined to create a set of variant-drug pairs significantly associated with serious ADEs. RESULTS: We identified 254 RCTs/post-hoc studies and 207 meta-analyses investigating variants associated with ADEs. Among the 254 RCTs/post-hoc studies identified, 24 meta-analyses were conducted. Among these, only G6PD A- showed a significant association with severe anaemia in patients receiving artemisinin-based treatment for malaria. CONCLUSION: This systematic review provides a comprehensive list of variants associated with ADEs and a set of variant-drug pairs significantly associated with serious ADEs. These resources serve as valuable references for regulatory agencies, researchers, and healthcare professionals. This study, however, underscores the need for improved indexing and standardised definitions of ADE seriousness in the literature.


Asunto(s)
Efectos Colaterales y Reacciones Adversas Relacionados con Medicamentos , Farmacogenética , Humanos , Efectos Colaterales y Reacciones Adversas Relacionados con Medicamentos/genética , Farmacogenética/métodos , Pruebas de Farmacogenómica , Variantes Farmacogenómicas , Ensayos Clínicos Controlados Aleatorios como Asunto
9.
Clin Transl Sci ; 17(9): e70017, 2024 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-39206687

RESUMEN

Frequencies of pharmacogenetic (PGx) variants are known to differ substantially across populations but much of the available PGx literature focuses on one or a few population groups, often defined in nonstandardized ways, or on a specific gene or variant. Guidelines produced by the Clinical Pharmacogenetic Implementation Consortium (CPIC) provide consistent methods of literature extraction, curation, and reporting, including comprehensive curation of allele frequency data across nine defined "biogeographic groups" from the PGx literature. We extracted data from 23 CPIC guidelines encompassing 19 genes to compare the sizes of the populations from each group and allele frequencies of altered function alleles across groups. The European group was the largest in the curated literature for 16 of the 19 genes, while the American and Oceanian groups were the smallest. Nearly 200 alleles were detected in nonreference groups that were not reported in the largest (reference) group. The genes CYP2B6 and CYP2C9 were more likely to have higher frequencies of altered function alleles in nonreference groups compared to the reference group, while the genes CYP4F2, DPYD, SLCO1B1, and UGT1A1 were less likely to have higher frequencies in nonreference groups. PGx allele frequencies and function differ substantially across nine biogeographic groups, all but two of which are underrepresented in available PGx data. Awareness of these differences and increased efforts to characterize the breadth of global PGx variation are needed to ensure that implementation of PGx-guided drug selection does not further widen existing health disparities among populations currently underrepresented in PGx data.


Asunto(s)
Frecuencia de los Genes , Variantes Farmacogenómicas , Humanos , Farmacogenética/métodos , Citocromo P-450 CYP2C9/genética , Transportador 1 de Anión Orgánico Específico del Hígado/genética , Genética de Población/métodos , Pruebas de Farmacogenómica/métodos , Citocromo P-450 CYP2B6/genética , Alelos
11.
Clin Transl Sci ; 17(8): e13911, 2024 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-39123290

RESUMEN

Pharmacogenomics (PGx) investigates the influence of genetics on drug responses, enabling tailored treatments for personalized healthcare. This study assessed the accuracy of genotyping six genes using whole genome sequencing with four different computational tools and various sequencing depths. The effects of using different reference genomes (GRCh38 and GRCh37) and sequence aligners (BWA-MEM and Bowtie2) were also explored. The results showed generally minor variations in tool performance across most genes; however, more notable discrepancies were observed in the analysis of the complex CYP2D6 gene. Cyrius, a CYP2D6-specific tool, demonstrated the most robust performance, achieving the highest concordance rates for CYP2D6 in all instances, comparable to the consensus approach in most cases. There were rather small differences between the samples with 20× coverage depth and those with higher depth, but the decreased performance was more evident at lower depths, particularly at 5×. Additionally, variations in CYP2D6 results were observed when samples were aligned to different reference genomes using the same method, or to the same genome using different aligners, which led to reporting incorrect rare star alleles in several cases. These findings inform the selection of optimal PGx tools and methodologies as well as suggest that employing a consensus approach with two or more tools might be preferable for certain genes and tool combinations, especially at lower sequencing depths, to ensure accurate results. Additionally, we show how the upstream alignment can affect the performance of tools, an important factor to take into account.


Asunto(s)
Benchmarking , Citocromo P-450 CYP2D6 , Farmacogenética , Humanos , Citocromo P-450 CYP2D6/genética , Farmacogenética/normas , Farmacogenética/métodos , Citocromo P-450 CYP2C19/genética , Secuenciación Completa del Genoma/normas , Secuenciación Completa del Genoma/métodos , Técnicas de Genotipaje/métodos , Genotipo , Citocromo P-450 CYP2C9/genética , Citocromo P-450 CYP2A6/genética , Pruebas de Farmacogenómica/normas , Pruebas de Farmacogenómica/métodos , Secuenciación de Nucleótidos de Alto Rendimiento/normas , Vitamina K Epóxido Reductasas
12.
Pharmacol Rev ; 76(5): 791-827, 2024 Aug 15.
Artículo en Inglés | MEDLINE | ID: mdl-39122647

RESUMEN

Recent breakthroughs in human genetics and in information technologies have markedly expanded our understanding at the molecular level of the response to drugs, i.e., pharmacogenetics (PGx), across therapy areas. This review is restricted to PGx for cardiovascular (CV) drugs. First, we examined the PGx information in the labels approved by regulatory agencies in Europe, Japan, and North America and related recommendations from expert panels. Out of 221 marketed CV drugs, 36 had PGx information in their labels approved by one or more agencies. The level of annotations and recommendations varied markedly between agencies and expert panels. Clopidogrel is the only CV drug with consistent PGx recommendation (i.e., "actionable"). This situation prompted us to dissect the steps from discovery of a PGx association to clinical translation. We found 101 genome-wide association studies that investigated the response to CV drugs or drug classes. These studies reported significant associations for 48 PGx traits mapping to 306 genes. Six of these 306 genes are mentioned in the corresponding PGx labels or recommendations for CV drugs. Genomic analyses also highlighted the wide between-population differences in risk allele frequencies and the individual load of actionable PGx variants. Given the high attrition rate and the long road to clinical translation, additional work is warranted to identify and validate PGx variants for more CV drugs across diverse populations and to demonstrate the utility of PGx testing. To that end, pre-emptive PGx combining genomic profiling with electronic medical records opens unprecedented opportunities to improve healthcare, for CV diseases and beyond. SIGNIFICANCE STATEMENT: Despite spectacular breakthroughs in human molecular genetics and information technologies, consistent evidence supporting PGx testing in the cardiovascular area is limited to a few drugs. Additional work is warranted to discover and validate new PGx markers and demonstrate their utility. Pre-emptive PGx combining genomic profiling with electronic medical records opens unprecedented opportunities to improve healthcare, for CV diseases and beyond.


Asunto(s)
Fármacos Cardiovasculares , Enfermedades Cardiovasculares , Estudio de Asociación del Genoma Completo , Farmacogenética , Humanos , Enfermedades Cardiovasculares/tratamiento farmacológico , Enfermedades Cardiovasculares/genética , Farmacogenética/métodos , Fármacos Cardiovasculares/uso terapéutico , Fármacos Cardiovasculares/farmacología , Estudio de Asociación del Genoma Completo/métodos
15.
J Med Internet Res ; 26: e49230, 2024 Jul 23.
Artículo en Inglés | MEDLINE | ID: mdl-39042886

RESUMEN

BACKGROUND: Pharmacogenetics can impact patient care and outcomes through personalizing the selection of medicines, resulting in improved efficacy and a reduction in harmful side effects. Despite the existence of compelling clinical evidence and international guidelines highlighting the benefits of pharmacogenetics in clinical practice, implementation within the National Health Service in the United Kingdom is limited. An important barrier to overcome is the development of IT solutions that support the integration of pharmacogenetic data into health care systems. This necessitates a better understanding of the role of electronic health records (EHRs) and the design of clinical decision support systems that are acceptable to clinicians, particularly those in primary care. OBJECTIVE: Explore the needs and requirements of a pharmacogenetic service from the perspective of primary care clinicians with a view to co-design a prototype solution. METHODS: We used ethnographic and think-aloud observations, user research workshops, and prototyping. The participants for this study included general practitioners and pharmacists. In total, we undertook 5 sessions of ethnographic observation to understand current practices and workflows. This was followed by 3 user research workshops, each with its own topic guide starting with personas and early ideation, through to exploring the potential of clinical decision support systems and prototype design. We subsequently analyzed workshop data using affinity diagramming and refined the key requirements for the solution collaboratively as a multidisciplinary project team. RESULTS: User research results identified that pharmacogenetic data must be incorporated within existing EHRs rather than through a stand-alone portal. The information presented through clinical decision support systems must be clear, accessible, and user-friendly as the service will be used by a range of end users. Critically, the information should be displayed within the prescribing workflow, rather than discrete results stored statically in the EHR. Finally, the prescribing recommendations should be authoritative to provide confidence in the validity of the results. Based on these findings we co-designed an interactive prototype, demonstrating pharmacogenetic clinical decision support integrated within the prescribing workflow of an EHR. CONCLUSIONS: This study marks a significant step forward in the design of systems that support pharmacogenetic-guided prescribing in primary care settings. Clinical decision support systems have the potential to enhance the personalization of medicines, provided they are effectively implemented within EHRs and present pharmacogenetic data in a user-friendly, actionable, and standardized format. Achieving this requires the development of a decoupled, standards-based architecture that allows for the separation of data from application, facilitating integration across various EHRs through the use of application programming interfaces (APIs). More globally, this study demonstrates the role of health informatics and user-centered design in realizing the potential of personalized medicine at scale and ensuring that the benefits of genomic innovation reach patients and populations effectively.


Asunto(s)
Sistemas de Apoyo a Decisiones Clínicas , Registros Electrónicos de Salud , Farmacogenética , Atención Primaria de Salud , Humanos , Farmacogenética/métodos , Inglaterra
16.
Antimicrob Agents Chemother ; 68(9): e0054924, 2024 Sep 04.
Artículo en Inglés | MEDLINE | ID: mdl-39078131

RESUMEN

The nucleos(t)ide analogs require phosphorylation to the pharmacologically active anabolites in cells. We investigated the hypothesis that single-nucleotide polymorphisms (SNPs) in genes that encode transporters and phosphodiesterase (PDE) enzymes involved in tenofovir (TFV), disoproxil fumarate (TDF), and lamivudine (3TC) disposition will be associated with concentrations of their phosphate anabolites and virologic response. Individuals with human immunodeficiency virus (HIV) and hepatitis B virus (HBV) coinfection receiving TDF/3TC-containing antiretroviral therapy were enrolled. Steady-state TFV diphosphate (TFV-DP) and 3TC triphosphate (3TC-TP) concentrations in peripheral blood mononuclear cells (PBMCs) and dried blood spot samples were quantified. The relationship between genetic variants and TFV-DP and 3TC-TP concentrations as well as with virologic response were examined using multivariable linear regression. Of the 136 participants (median age 43 years; 63% females), 6.6% had HBV non-suppression, and 7.4% had HIV non-suppression. The multidrug resistance protein 2 (encoded by ABCC2 rs2273697) SNP was associated with 3TC-TP concentrations in PBMCs. The human organic anion transporter-1 (encoded by SLC28A2) rs11854484 SNP was associated with HIV non-suppression, and when evaluated together with SNPs with marginal associations (ABCC2 rs717620 and PDE1C rs30561), participants with two or three variants compared to those with none of these variants had an adjusted odds ratio of 48.3 (confidence interval, 4.3-547.8) for HIV non-suppression. None of the SNPs were associated with HBV non-suppression. Our study identified ABCC2 SNP to be associated with 3TC-TP concentrations in PBMCs. Also, a combination of genetic variants of drug transporters and PDE was associated with HIV non-suppression.


Asunto(s)
Fármacos Anti-VIH , Coinfección , Infecciones por VIH , Lamivudine , Proteína 2 Asociada a Resistencia a Múltiples Medicamentos , Proteínas Asociadas a Resistencia a Múltiples Medicamentos , Polimorfismo de Nucleótido Simple , Tenofovir , Humanos , Infecciones por VIH/tratamiento farmacológico , Infecciones por VIH/genética , Femenino , Masculino , Adulto , Lamivudine/uso terapéutico , Polimorfismo de Nucleótido Simple/genética , Tenofovir/uso terapéutico , Proteínas Asociadas a Resistencia a Múltiples Medicamentos/genética , Fármacos Anti-VIH/uso terapéutico , Fármacos Anti-VIH/farmacocinética , Persona de Mediana Edad , Coinfección/tratamiento farmacológico , Coinfección/genética , Leucocitos Mononucleares/metabolismo , Virus de la Hepatitis B/genética , Virus de la Hepatitis B/efectos de los fármacos , Organofosfatos/uso terapéutico , Organofosfatos/farmacocinética , Hepatitis B/tratamiento farmacológico , Hepatitis B/genética , Adenina/análogos & derivados , Adenina/uso terapéutico , Adenina/farmacocinética , Polifosfatos/metabolismo , Farmacogenética/métodos
17.
Aust J Gen Pract ; 53(7): 463-470, 2024 07.
Artículo en Inglés | MEDLINE | ID: mdl-38957060

RESUMEN

BACKGROUND: Cardiovascular diseases (CVDs) pose significant global health challenges, with genetics increasingly recognised as a key factor alongside traditional risk factors. This presents an opportunity for general practitioners (GPs) to refine their approaches. OBJECTIVE: This article explores the impact of genetics on CVDs and its implications for GPs. It discusses monogenic disorders like inherited cardiomyopathies and polygenic risks, as well as pharmacogenetics, aiming to enhance risk assessment and personalised care. DISCUSSION: Monogenic disorders, driven by single gene mutations, exhibit predictable inheritance patterns, including inherited cardiomyopathies and channelopathies such as Long QT syndrome. Polygenic risks involve multiple genetic variants influencing CVD susceptibility, addressed through polygenic risk scores for precise risk assessment. Pharmacogenetics tailor drug interventions based on genetic profiles, though challenges like accessibility and ethical considerations persist. Integrating genetics into cardiovascular care holds promise for alleviating the global CVD burden and improving patient outcomes.


Asunto(s)
Médicos Generales , Humanos , Médicos Generales/tendencias , Cardiopatías/genética , Predisposición Genética a la Enfermedad , Farmacogenética/métodos , Farmacogenética/tendencias , Enfermedades Cardiovasculares/genética , Enfermedades Cardiovasculares/terapia , Medición de Riesgo/métodos , Factores de Riesgo
18.
Breast Cancer Res ; 26(1): 111, 2024 Jul 04.
Artículo en Inglés | MEDLINE | ID: mdl-38965614

RESUMEN

BACKGROUND: Endocrine therapy is the most important treatment modality of breast cancer patients whose tumors express the estrogen receptor α (ERα). The androgen receptor (AR) is also expressed in the vast majority (80-90%) of ERα-positive tumors. AR-targeting drugs are not used in clinical practice, but have been evaluated in multiple trials and preclinical studies. METHODS: We performed a genome-wide study to identify hormone/drug-induced single nucleotide polymorphism (SNP) genotype - dependent gene-expression, known as PGx-eQTL, mediated by either an AR agonist (dihydrotestosterone) or a partial antagonist (enzalutamide), utilizing a previously well characterized lymphoblastic cell line panel. The association of the identified SNPs-gene pairs with breast cancer phenotypes were then examined using three genome-wide association (GWAS) studies that we have published and other studies from the GWAS catalog. RESULTS: We identified 13 DHT-mediated PGx-eQTL loci and 23 Enz-mediated PGx-eQTL loci that were associated with breast cancer outcomes post ER antagonist or aromatase inhibitors (AI) treatment, or with pharmacodynamic (PD) effects of AIs. An additional 30 loci were found to be associated with cancer risk and sex-hormone binding globulin levels. The top loci involved the genes IDH2 and TMEM9, the expression of which were suppressed by DHT in a PGx-eQTL SNP genotype-dependent manner. Both of these genes were overexpressed in breast cancer and were associated with a poorer prognosis. Therefore, suppression of these genes by AR agonists may benefit patients with minor allele genotypes for these SNPs. CONCLUSIONS: We identified AR-related PGx-eQTL SNP-gene pairs that were associated with risks, outcomes and PD effects of endocrine therapy that may provide potential biomarkers for individualized treatment of breast cancer.


Asunto(s)
Neoplasias de la Mama , Estudio de Asociación del Genoma Completo , Polimorfismo de Nucleótido Simple , Sitios de Carácter Cuantitativo , Receptores Androgénicos , Humanos , Neoplasias de la Mama/genética , Neoplasias de la Mama/tratamiento farmacológico , Neoplasias de la Mama/patología , Neoplasias de la Mama/metabolismo , Femenino , Receptores Androgénicos/genética , Receptores Androgénicos/metabolismo , Línea Celular Tumoral , Regulación Neoplásica de la Expresión Génica/efectos de los fármacos , Dihidrotestosterona/farmacología , Feniltiohidantoína/farmacología , Feniltiohidantoína/uso terapéutico , Nitrilos/uso terapéutico , Genotipo , Farmacogenética/métodos , Variantes Farmacogenómicas , Antineoplásicos Hormonales/uso terapéutico , Antineoplásicos Hormonales/farmacología , Benzamidas
19.
Hum Genomics ; 18(1): 78, 2024 Jul 10.
Artículo en Inglés | MEDLINE | ID: mdl-38987819

RESUMEN

Pharmacogenetics investigates sequence of genes that affect drug response, enabling personalized medication. This approach reduces drug-induced adverse reactions and improves clinical effectiveness, making it a crucial consideration for personalized medical care. Numerous guidelines, drawn by global consortia and scientific organizations, codify genotype-driven administration for over 120 active substances. As the scientific community acknowledges the benefits of genotype-tailored therapy over traditionally agnostic drug administration, the push for its implementation into Italian healthcare system is gaining momentum. This evolution is influenced by several factors, including the improved access to patient genotypes, the sequencing costs decrease, the growing of large-scale genetic studies, the rising popularity of direct-to-consumer pharmacogenetic tests, and the continuous improvement of pharmacogenetic guidelines. Since EMA (European Medicines Agency) and AIFA (Italian Medicines Agency) provide genotype information on drug leaflet without clear and explicit clinical indications for gene testing, the regulation of pharmacogenetic testing is a pressing matter in Italy. In this manuscript, we have reviewed how to overcome the obstacles in implementing pharmacogenetic testing in the clinical practice of the Italian healthcare system. Our particular emphasis has been on germline testing, given the absence of well-defined national directives in contrast to somatic pharmacogenetics.


Asunto(s)
Farmacogenética , Humanos , Italia , Farmacogenética/métodos , Farmacogenética/tendencias , Medicina de Precisión/tendencias , Medicina de Precisión/métodos , Pruebas de Farmacogenómica/métodos , Genotipo
20.
Hum Genomics ; 18(1): 83, 2024 Jul 19.
Artículo en Inglés | MEDLINE | ID: mdl-39030589

RESUMEN

BACKGROUND: Colorectal cancer is still the second leading cause of cancer-related deaths and thus biomarkers allowing prediction of the resistance of patients to therapy and estimating their prognosis are needed. We designed a panel of 558 genes with pharmacogenomics records related to 5-fluorouracil resistance, genes important for sensitivity to other frequently used drugs, major oncodrivers, and actionable genes. We performed a target enrichment sequencing of DNA from tumors and matched blood samples of patients, and compared the results with patient prognosis stratified by systemic adjuvant chemotherapy. RESULTS: The median number of detected variants per tumor sample was 18.5 with 4 classified as having a high predicted functional effect and 14.5 moderate effect. APC, TP53, and KRAS were the most frequent mutated genes (64%, 59%, and 42% of mutated samples, respectively) followed by FAT4 (23%), FBXW7, and PIK3CA (16% for both). Patients with advanced stage III had more frequently APC, TP53, or KRAS mutations than those in stages I or II. KRAS mutation counts followed an increasing trend with grade (G1 < G2 < G3). The response to adjuvant therapy was worse in carriers of frameshift mutations in APC or 12D variant in KRAS, but none of these oncodrivers had prognostic value. Carriage of somatic mutations in any of the genes ABCA13, ANK2, COL7A1, NAV3, or UNC80 had prognostic relevance for worse overall survival (OS) of all patients. In contrast, mutations in FLG, GLI3, or UNC80 were prognostic in the same direction for patients untreated, and mutations in COL6A3, LRP1B, NAV3, RYR1, RYR3, TCHH, or TENM4 for patients treated with adjuvant therapy. The first association was externally validated. From all germline variants with high or moderate predicted functional effects (median 326 per patient), > 5% frequency and positive Manhattan plot based on 3-year RFS, rs72753407 in NFACS, rs34621071 in ERBB4, and rs2444274 in RIF1 were significantly associated with RFS, OS or both. CONCLUSIONS: The present study identified several putative somatic and germline genetic events with prognostic potential for colorectal cancer that should undergo functional characterization.


Asunto(s)
Neoplasias Colorrectales , Humanos , Neoplasias Colorrectales/genética , Neoplasias Colorrectales/tratamiento farmacológico , Neoplasias Colorrectales/patología , Pronóstico , Masculino , Femenino , Persona de Mediana Edad , Anciano , Mutación/genética , Fluorouracilo/uso terapéutico , Biomarcadores de Tumor/genética , Adulto , Resistencia a Antineoplásicos/genética , Farmacogenética/métodos , Proteína de la Poliposis Adenomatosa del Colon/genética , Proteína 7 que Contiene Repeticiones F-Box-WD/genética , Proteínas Proto-Oncogénicas p21(ras)/genética , Secuenciación de Nucleótidos de Alto Rendimiento , Proteína p53 Supresora de Tumor/genética , Fosfatidilinositol 3-Quinasa Clase I
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