Personalized medicinePub Date : 2025-04-01Epub Date: 2025-03-18DOI: 10.1080/17410541.2025.2476392
Haoyang Yan, Christine M Rini, Ann Katherine M Foreman, Jonathan S Berg, Gail E Henderson, Kristy Lee, Julianne M O'Daniel, Myra Roche, Margaret Waltz
{"title":"How people undergoing genomic sequencing interpret and react to varied secondary findings with limited actionability.","authors":"Haoyang Yan, Christine M Rini, Ann Katherine M Foreman, Jonathan S Berg, Gail E Henderson, Kristy Lee, Julianne M O'Daniel, Myra Roche, Margaret Waltz","doi":"10.1080/17410541.2025.2476392","DOIUrl":"10.1080/17410541.2025.2476392","url":null,"abstract":"<p><strong>Purpose: </strong>To investigate patient reactions to and understanding of secondary genomic findings with limited to no medical actionability (LMA-SFs) from diagnostic genome sequencing.</p><p><strong>Methods: </strong>We analyzed LMA-SFs returned to 47 adults who elected to receive a broad set of these results from 6 categories. Findings indicated elevated risk (reportable/positive) or not (negative/normal). Most participants (<i>N</i> = 43) also completed surveys to report their distress, decision regret, expected health anxiety, and whether and how they perceived results as reassuring or troubling.</p><p><strong>Results: </strong>Most participants received some reportable LMA-SFs for common risk, pharmacogenetic, and carrier status variants. Fewer received reportable <i>APOE</i> haplotype or monogenetic condition variants. None received results indicating high risk for severe neurological disease. Overall, participants (76.7% female, 97.7% White) had low distress, decision regret, and expected health anxiety. None described negative/normal findings as troubling. However, their interpretations of reportable/positive results varied. Even within the same result type, some participants found them troubling, while others found them reassuring based on their perception of the results' utility.</p><p><strong>Conclusion: </strong>Participants' short-term well-being was not reduced by receiving LMA-SFs. Their interpretations suggested varied personal utilities and the need for post-test resources to aid understanding of these types of results and their health significance.</p>","PeriodicalId":94167,"journal":{"name":"Personalized medicine","volume":" ","pages":"93-101"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143660190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Personalized medicinePub Date : 2025-04-01Epub Date: 2025-03-07DOI: 10.1080/17410541.2025.2476379
Yuxia Yang, Xiang Chen, Huiqin Zhang, Gang Yang, Xiaoyun Zhu, Xiujing Si, Feilong Chen, Yan Zhao, Feng Jin, Juanjuan Lu
{"title":"The correlation between the polymorphism of lysolecithin acyltransferase (MBOAT7) rs641738 and liver fibrosis.","authors":"Yuxia Yang, Xiang Chen, Huiqin Zhang, Gang Yang, Xiaoyun Zhu, Xiujing Si, Feilong Chen, Yan Zhao, Feng Jin, Juanjuan Lu","doi":"10.1080/17410541.2025.2476379","DOIUrl":"10.1080/17410541.2025.2476379","url":null,"abstract":"<p><strong>Objective: </strong>We aimed to explore the relationship between the MBOAT7 rs641738 gene polymorphism and liver fibrosis and inflammation.</p><p><strong>Methods: </strong>A total of 214 patients with metabolic dysfunction-associated steatotic liver disease (MASLD) were allocated into the mild-to-moderate and severe liver fibrosis groups based on liver fibrosis degree. The genotypes at the MBOAT7 rs641738 locus were evaluated. Differences in clinical and biochemical indicators, as well as the genotype and allele frequency distributions of the MBOAT7 rs641738 polymorphism, were analyzed across groups with varying degrees of liver fibrosis. Additionally, the clinical and biochemical differences among patients with different genotypes were examined.</p><p><strong>Results: </strong>Significant differences were observed in the distribution of CC, CT, and TT genotypes, as well as C and T allele frequencies at the MBOAT7 rs641738 locus, between patients with mild-to-moderate and severe fibrosis. Carriers of the CT + TT genotype had a higher risk of developing severe liver fibrosis compared to those with the CC genotype (OR > 1). Furthermore, CT + TT carriers had higher levels of inflammatory cytokines and more severe fibrosis than CC genotype carriers (all <i>p</i> < 0.05).</p><p><strong>Conclusion: </strong>The MBOAT7 rs641738 gene polymorphism is associated with the severity of liver fibrosis and inflammation.</p>","PeriodicalId":94167,"journal":{"name":"Personalized medicine","volume":" ","pages":"113-119"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143589026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Personalized medicinePub Date : 2025-04-01Epub Date: 2025-03-03DOI: 10.1080/17410541.2025.2473303
Aaron J Urquhart, Christian H Glass, Tyrone L R Humphries, Andrew J Kassianos, David A Vesey, Simon T Wood, Glenda C Gobe, Robert J Ellis
{"title":"Head-to-head comparison of tyrosine kinase inhibitors in renal cell carcinoma using patient-derived cell culture.","authors":"Aaron J Urquhart, Christian H Glass, Tyrone L R Humphries, Andrew J Kassianos, David A Vesey, Simon T Wood, Glenda C Gobe, Robert J Ellis","doi":"10.1080/17410541.2025.2473303","DOIUrl":"10.1080/17410541.2025.2473303","url":null,"abstract":"<p><strong>Background: </strong>Metastatic renal cell carcinoma (RCC) is often treated with a combination of immunotherapy and tyrosine kinase inhibitors (TKIs). Patient-derived RCC cells were cultured and inter-individual differences to treatment with a panel of TKIs were evaluated.</p><p><strong>Methods: </strong>Tumor tissue was collected during nephrectomy. Cells were cultured and treated with a panel of clinically relevant TKIs (sunitinib, cabozantinib, pazopanib, axitinib) at concentrations of 5 µM for 48-72 hours. Cell viability was evaluated using MTT assays. One-sided T-tests were used to evaluate results.</p><p><strong>Results: </strong>Patient-derived cancer cells were able to be grown beyond 10 passages from 12/38 samples collected (27%). Four patient-derived samples were tested against the TKI panel. No substantial difference between drugs was seen for two samples. In one sample, there was a clear superior response to sunitinib (48% mean viability, vs >75% for the other drugs). For the final sample, sunitinib, cabozantinib, and axitinib demonstrated a superior response compared with pazopanib (71%, 77%, 70%, and 85% mean viability, respectively).</p><p><strong>Conclusions: </strong>Inter-individual variability in the responses of patient-derived RCC cultures to TKIs was seen, which may have biological and clinical significance. Future directions could build on this work to develop personalized cancer susceptibility profiles, with potential for translation into a clinical trial.</p>","PeriodicalId":94167,"journal":{"name":"Personalized medicine","volume":" ","pages":"83-91"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143545522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Personalized medicinePub Date : 2025-02-01Epub Date: 2024-12-20DOI: 10.1080/17410541.2024.2442897
Sara Salatin, Ali Reza Shafiee-Kandjani, Samin Hamidi, Akbar Amirfiroozi, Parinaz Kalejahi
{"title":"Individualized psychiatric care: integration of therapeutic drug monitoring, pharmacogenomics, and biomarkers.","authors":"Sara Salatin, Ali Reza Shafiee-Kandjani, Samin Hamidi, Akbar Amirfiroozi, Parinaz Kalejahi","doi":"10.1080/17410541.2024.2442897","DOIUrl":"10.1080/17410541.2024.2442897","url":null,"abstract":"<p><p>Personalized treatment optimization considers individual clinical, genetic, and environmental factors influencing drug efficacy and tolerability. As evidence accumulates, these approaches may become increasingly integrated into standard psychiatric care, potentially transforming the treatment landscape for mental health disorders. While personalized treatment optimization shows promise in enhancing therapeutic outcomes and minimizing adverse effects, further research is needed to establish its clinical utility and cost-effectiveness across various psychiatric disorders. This review examines the potential utility of personalized treatment optimization in psychiatry, addressing the challenge of suboptimal effectiveness and variable patient responses to psychiatric medications. It explores how therapeutic drug monitoring, pharmacogenomics, and biomarker testing can be used to individualize and optimize pharmacotherapy for mental disorders such as depression, bipolar disorder, and schizophrenia.</p>","PeriodicalId":94167,"journal":{"name":"Personalized medicine","volume":" ","pages":"29-44"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142873760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Genetic and non-genetic factors influencing the therapeutic response of valproic acid in pediatric epileptic patients.","authors":"Changsong Wu, Jianghuan Zheng, Yanling Pan, Ruyu Tao, Zhijun Zhong, Chaozhi Qian, Heng Liang, Haijun Wu","doi":"10.1080/17410541.2024.2441655","DOIUrl":"10.1080/17410541.2024.2441655","url":null,"abstract":"<p><strong>Aims: </strong>Considerable inter-individual variability in the efficacy of valproic acid (VPA) has been reported, with approximately 20-45% of patients failing to achieve satisfactory seizure control after VPA monotherapy. The aim of this study was to investigate the influence of non-genetic and genetic factors on 12-month VPA-response in a cohort of 194 pediatric patients.</p><p><strong>Materials & methods: </strong>Trough concentrations were determined, and a panel of 48 variants located in pharmacokinetic and pharmacodynamic gene were genotyped.</p><p><strong>Results: </strong>Aetiology was highlighted as a significant factor for the response to VPA. Specifically, patients with idiopathic epilepsy demonstrated poorer 12-month outcomes (<i>p</i> < 0.001). Trough VPA concentrations did not significantly affect outcomes. Marginal association was found between VPA efficacy and the following genetic variants: <i>GABRA1</i> rs10068980 (<i>p</i> = 0.02), <i>SLC16A1</i> rs7169 (<i>p</i> = 0.02), <i>ABCC2</i> rs1885301 (<i>p</i> = 0.092), <i>ACADM</i> rs1251079 (<i>p</i> = 0.061) and <i>GABRA1</i> rs6883877 (<i>p</i> = 0.085), as indicated by Fisher's exact test. A significant cumulative effect of two genetic factors (<i>GABRA1</i> rs10068980 and <i>SLC16A1</i> rs7169) was observed after a multiple logistic analysis, with ORs of 2.828 (1.213, 6.594) and 4.066 (1.148,14.398), respectively.</p><p><strong>Conclusion: </strong>Our study indicated that <i>GABRA1</i> rs10068980 and <i>SLC16A1</i> rs7169 might serve as potential biomarkers for predicting the 12-month VPA treatment outcomes in pediatric patients with epilepsy.</p>","PeriodicalId":94167,"journal":{"name":"Personalized medicine","volume":" ","pages":"11-19"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142879447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Personalized medicine in colorectal cancer: a comprehensive study of precision diagnosis and treatment.","authors":"Fatemeh Gila, Somayeh Khoddam, Zahra Jamali, Mohmmad Ghasemian, Shayan Shakeri, Zeinab Dehghan, Jafar Fallahi","doi":"10.1080/17410541.2025.2459050","DOIUrl":"10.1080/17410541.2025.2459050","url":null,"abstract":"<p><p>Colorectal cancer is a common and fatal disease that affects many people globally. CRC is classified as the third most prevalent cancer among males and the second most frequent cancer among females worldwide. The purpose of this article is to examine how personalized medicine might be used to treat colorectal cancer. The classification of colorectal cancer based on molecular profiling, including the detection of significant gene mutations, genomic instability, and gene dysregulation, is the main topic of this discussion. Advanced technologies and biomarkers are among the detection methods that are explored, demonstrating their potential for early diagnosis and precise prognosis. In addition, the essay explores the world of treatment possibilities by providing light on FDA-approved personalized medicine solutions that provide individualized and precise interventions based on patient characteristics. This article assesses targeted treatments like cetuximab and nivolumab, looks at the therapeutic usefulness of biomarkers like microsatellite instability (MSI) and circulating tumor DNA (ctDNA), and investigates new approaches to combat resistance. Through this, our review provides a thorough overview of personalized medicine in the context of colorectal cancer, ultimately highlighting its potential to revolutionize the field and improve patient care.</p>","PeriodicalId":94167,"journal":{"name":"Personalized medicine","volume":" ","pages":"59-81"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143384585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The effect of genetic polymorphisms of AKT1 on PE susceptibility: a case-control study and insilico analysis.","authors":"Mahnaz Rezaei, Marzieh Ghasemi, Mohsen Saravani, Hossein Shahraki-Ghadimi, Rahele Ghasemian Moghadam, Saeedeh Salimi","doi":"10.1080/17410541.2024.2446006","DOIUrl":"10.1080/17410541.2024.2446006","url":null,"abstract":"<p><strong>Background: </strong>Preeclampsia (PE) is a gestational disease associated with developing hypertension and proteinuria.</p><p><strong>Aim: </strong>This study investigated the effects of <i>AKT1</i> polymorphisms, a key enzyme in cellular signal transmission that regulates various cellular processes associated with PE.</p><p><strong>Methods: </strong>The PCR-RFLP method was employed to genotype <i>AKT1</i> rs2494732, rs1130233, and rs1130214 polymorphisms. In silico analysis was conducted using SpliceAid2, RNAsnp, and STRING tools.</p><p><strong>Results: </strong>The <i>AKT1</i> rs1130233 variant was associated with an increased risk of PE in log-additive and allelic models. A significant relationship was also observed between the rs1130214 variant and PE risk in several genetic models. Results from the SpliceAid2 server indicated that the rs2494732 A to G substitution creates a new binding site for the SRP-40 protein. Several key protein binding sites were lost for rs1130214 (C-to-A) and rs1130233 (C-to-T) mutations. However, RNAsnp analysis did not show significant changes in secondary structure.</p><p><strong>Conclusion: </strong>In conclusion, the <i>AKT1</i> rs1130233 and rs1130214 polymorphisms were found to be associated with an increased risk of PE.</p>","PeriodicalId":94167,"journal":{"name":"Personalized medicine","volume":"22 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143443138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Personalized medicinePub Date : 2025-02-01Epub Date: 2024-12-14DOI: 10.1080/17410541.2024.2441651
Quanlin Wang, Shusen Sun, Wei Zhang, Dan Cao, Yisu Jin
{"title":"Pharmacogenomics education in China and the United States: advancing personalized medicine.","authors":"Quanlin Wang, Shusen Sun, Wei Zhang, Dan Cao, Yisu Jin","doi":"10.1080/17410541.2024.2441651","DOIUrl":"10.1080/17410541.2024.2441651","url":null,"abstract":"<p><p>Pharmacogenomics (PGx), an integral part of functional genomics and molecular pharmacology, has evolved significantly over the past decade. Our study reveals that PGx education in China and the United States has made substantial progress, with a particular emphasis on integrating PGx into medical curricula and clinical practice, leading to improved therapeutic strategies and patient outcomes. Consequently, both China and the United States are dedicated to fostering advancements in PGx education. This paper reviews PGx education in these two countries, highlighting its importance and providing an in-depth look at the current status and challenges within universities and clinical settings. Furthermore, it offers recommendations for advancing PGx education and contemplates future trends in both nations.</p>","PeriodicalId":94167,"journal":{"name":"Personalized medicine","volume":" ","pages":"21-27"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142824924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Technological advances in clinical individualized medication for cancer therapy: from genes to whole organism.","authors":"Jiejing Kai, Xueling Liu, Meijia Wu, Pan Liu, Meihua Lin, Hongyu Yang, Qingwei Zhao","doi":"10.1080/17410541.2024.2447224","DOIUrl":"10.1080/17410541.2024.2447224","url":null,"abstract":"<p><p>Efforts have been made to leverage technology to accurately identify tumor characteristics and predict how each cancer patient may respond to medications. This involves collecting data from various sources such as genomic data, histological information, functional drug profiling, and drug metabolism using techniques like polymerase chain reaction, sanger sequencing, next-generation sequencing, fluorescence in situ hybridization, immunohistochemistry staining, patient-derived tumor xenograft models, patient-derived organoid models, and therapeutic drug monitoring. The utilization of diverse detection technologies in clinical practice has made \"individualized treatment\" possible, but the desired level of accuracy has not been fully attained yet. Here, we briefly summarize the conventional and state-of-the-art technologies contributing to individualized medication in clinical settings, aiming to explore therapy options enhancing clinical outcomes.</p>","PeriodicalId":94167,"journal":{"name":"Personalized medicine","volume":" ","pages":"45-58"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143401117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cecilia Vecoli, I. Foffa, Simona Vittorini, N. Botto, Augusto Esposito, Sabrina Costa, Valeria Piagneri, P. Festa, L. Ait-Ali
{"title":"A novel TGFβR2 splice variant in patient with aortic aneurysm and family history for aortic dissection: a case report.","authors":"Cecilia Vecoli, I. Foffa, Simona Vittorini, N. Botto, Augusto Esposito, Sabrina Costa, Valeria Piagneri, P. Festa, L. Ait-Ali","doi":"10.2217/pme-2023-0135","DOIUrl":"https://doi.org/10.2217/pme-2023-0135","url":null,"abstract":"We report the clinical presentation and genetic screening of a 31-year-old man with dilatation of the aortic root and ascending aorta and a positive family history for aortic dissection and sudden death. A novel heterozygous variant in a splice acceptor site (c.1600-1G>T) of TGFβR2 gene was identified by using a targeted multi-gene panel analysis. Bioinformatics tools predicted that the c.1600-1G>T variant is pathogenic by altering acceptor splice site at - 1 position affecting pre-mRNA splicing. These data confirm that the diverging splicing in the TGF-β pathway genes may be an important process in aneurismal disease and emphasize the utility of genetic sequencing in the identification of high-risk patients for a more patient's management able to improve outcomes and minimize costs for the care of patients with heritable thoracic aortic aneurysm and dissection.","PeriodicalId":94167,"journal":{"name":"Personalized medicine","volume":" 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140687245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}