Stat Methods Med Res. 2023 Jul 11:9622802231181704. doi: 10.1177/09622802231181704. Online ahead of print.

ABSTRACT

Parallel design and crossover design are two of the most frequently used designs for studying drug-gene interactions. Due to the concerns of statistical power and ethics, it is often more prudent to use the crossover design while allowing the patients to have choices of not switching the treatment if the first stage treatment is effective. This complicates the calculation of the required sample size to achieve pre-specified statistical power. We propose a method to determine the required sample size with a closed-form formula. The proposed approach is applied to determine the sample size of an adaptive crossover trial in studying gene-drug interaction in treating atrial fibrillation, the most common cardiac arrhythmia in clinical practice. Our simulation study confirms the power achieved by the sample size determined using the proposed approach. Issues related to the adaptive crossover trial are also discussed and practical guidelines are provided.

PMID:37431594 | DOI:10.1177/09622802231181704

Bioimpacts. 2023;13(3):181-182. doi: 10.34172/bi.2023.27686. Epub 2023 May 1.

NO ABSTRACT

PMID:37431482 | PMC:PMC10329749 | DOI:10.34172/bi.2023.27686

Pharm Res. 2023 Jul 10. doi: 10.1007/s11095-023-03558-1. Online ahead of print.

ABSTRACT

INTRODUCTION: Polymorphisms in the Thiopurine S-Methyltransferase (TPMT) gene are associated with decreased TPMT activity, but little is known about their impact on TPMT protein expression in the liver. This project is to conduct a genome-wide association study (GWAS) to identify single nucleotide polymorphisms (SNPs) associated with altered TPMT protein expression in human livers and to determine if demographics affect hepatic TPMT protein expression.

METHODS: Human liver samples (n = 287) were genotyped using a whole genome genotyping panel and quantified for TPMT protein expression using a Data-Independent Acquisition proteomics approach.

RESULTS AND DISCUSSION: Thirty-one SNPs were found to be associated with differential expression of TPMT protein in the human livers. Subsequent analysis, conditioning on rs1142345, a SNP associated with the TPMT*3A and TPMT*3C alleles, showed no additional independent signals. Mean TPMT expression is significantly higher in wildtype donors compared to those carrying the known TPMT alleles, including TPMT*3A, TPMT*3C, and TPMT*24 (0.107 ± 0.028 vs. 0.052 ± 0.014 pmol/mg total protein, P = 2.2 × 10-16). After removing samples carrying the known TPMT variants, European ancestry donors exhibited significantly higher expression than African ancestry donors (0.109 ± 0.026 vs. 0.090 ± 0.041 pmol/mg total protein, P = 0.020).

CONCLUSION: The GWAS identified 31 SNPs associated with TPMT protein expression in human livers. Hepatic TPMT protein expression was significantly lower in subjects carrying the TPMT*3A, TPMT*3C, and TPMT*24 alleles compared to non-carriers. European ancestry was associated with significantly higher hepatic TPMT protein expression than African ancestry, independent of known TPMT variants.

PMID:37430149 | DOI:10.1007/s11095-023-03558-1

Per Med. 2023 Jul 10. doi: 10.2217/pme-2022-0117. Online ahead of print.

ABSTRACT

Aim: Interindividual and interethnic differences in drug efficacy drive the development and progress of pharmacogenomics and precision medicine. This study was performed to enrich the pharmacogenomic information for the Lisu population from China. Methods: Fifty-four very important pharmacogene variants were selected from PharmGKB and genotyped in 199 Lisu individuals. The genotype distribution data of 26 populations were downloaded from the 1000 Genomes Project and analyzed with the χ2 test. Results: Among the 26 populations in the 1000 Genomes Project, African Caribbeans in Barbados; Esan in Nigeria; Gambian in Western Divisions, The Gambia; Luhya in Webuye, Kenya; Yoruba in Ibadan; Finnish in Finland; Toscani in Italy and Sri Lankan Tamil in the UK were the top eight nationalities with the most significant differences in genotype distribution from the Lisu population. The loci of CYP3A5 rs776746, KCNH2 rs1805123, ACE rs4291, SLC19A1 rs1051298 and CYP2D6 rs1065852 were significantly different in the Lisu. Conclusion: The results showed that there were substantial differences in SNPs of very important pharmacogene variants, which can provide a theoretical basis for individualized drug use for the Lisu.

PMID:37427690 | DOI:10.2217/pme-2022-0117

Pharmacogenomics. 2023 Jul 10. doi: 10.2217/pgs-2023-0100. Online ahead of print.

NO ABSTRACT

PMID:37427432 | DOI:10.2217/pgs-2023-0100

Front Oncol. 2023 Jun 22;13:1239304. doi: 10.3389/fonc.2023.1239304. eCollection 2023.

NO ABSTRACT

PMID:37427122 | PMC:PMC10325716 | DOI:10.3389/fonc.2023.1239304

Pharmgenomics Pers Med. 2023 Jul 3;16:693-706. doi: 10.2147/PGPM.S415259. eCollection 2023.

ABSTRACT

PURPOSE: Pharmacogenetics (PGx) is an emerging aspect of personalized medicine with the potential to increase efficacy and safety of pharmacotherapy. However, PGx testing is still not routinely integrated into clinical practice. We conducted an observational case series study where PGx information from a commercially available panel test covering 30 genes was integrated into medication reviews. The aim of the study was to identify the drugs that are most frequently object of drug-gene-interactions (DGI) in the study population.

PATIENTS AND METHODS: In out-patient and in-patient settings, we recruited 142 patients experiencing adverse drug reaction (ADR) and/or therapy failure (TF). Collected anonymized data from the individual patient was harmonized and transferred to a structured database.

RESULTS: The majority of the patients had a main diagnosis of a mental or behavioral disorder (ICD-10: F, 61%), of musculoskeletal system and connective tissue diseases (ICD-10: M, 21%), and of the circulatory system (ICD-10: I, 11%). The number of prescribed medicines reached a median of 7 per person, resulting in a majority of patients with polypharmacy (≥5 prescribed medicines, 65%). In total, 559 suspected DGI were identified in 142 patients. After genetic testing, an association with at least one genetic variation was confirmed for 324 suspected DGI (58%) caused by 64 different drugs and 21 different genes in 141 patients. After 6 months, PGx-based medication adjustments were recorded for 62% of the study population, whereby differences were identified in subgroups.

CONCLUSION: The data analysis from this study provides valuable insights for the main focus of further research in the context of PGx. The results indicate that most of the selected patients in our sample represent suitable target groups for PGx panel testing in clinical practice, notably those taking drugs for mental or behavioral disorder, circulatory diseases, immunological diseases, pain-related diseases, and patients experiencing polypharmacy.

PMID:37426898 | PMC:PMC10327911 | DOI:10.2147/PGPM.S415259

Front Pharmacol. 2023 Jun 22;14:1195778. doi: 10.3389/fphar.2023.1195778. eCollection 2023.

ABSTRACT

Complex regions in the human genome such as repeat motifs, pseudogenes and structural (SVs) and copy number variations (CNVs) present ongoing challenges to accurate genetic analysis, particularly for short-read Next-Generation-Sequencing (NGS) technologies. One such region is the highly polymorphic CYP2D loci, containing CYP2D6, a clinically relevant pharmacogene contributing to the metabolism of >20% of common drugs, and two highly similar pseudogenes, CYP2D7 and CYP2D8. Multiple complex SVs, including CYP2D6/CYP2D7-derived hybrid genes are known to occur in different configurations and frequencies across populations and are difficult to detect and characterize accurately. This can lead to incorrect enzyme activity assignment and impact drug dosing recommendations, often disproportionally affecting underrepresented populations. To improve CYP2D6 genotyping accuracy, we developed a PCR-free CRISPR-Cas9 based enrichment method for targeted long-read sequencing that fully characterizes the entire CYP2D6-CYP2D7-CYP2D8 loci. Clinically relevant sample types, including blood, saliva, and liver tissue were sequenced, generating high coverage sets of continuous single molecule reads spanning the entire targeted region of up to 52 kb, regardless of SV present (n = 9). This allowed for fully phased dissection of the entire loci structure, including breakpoints, to accurately resolve complex CYP2D6 diplotypes with a single assay. Additionally, we identified three novel CYP2D6 suballeles, and fully characterized 17 CYP2D7 and 18 CYP2D8 unique haplotypes. This method for CYP2D6 genotyping has the potential to significantly improve accurate clinical phenotyping to inform drug therapy and can be adapted to overcome testing limitations of other clinically challenging genomic regions.

PMID:37426826 | PMC:PMC10324673 | DOI:10.3389/fphar.2023.1195778

JHEP Rep. 2023 Mar 22;5(7):100742. doi: 10.1016/j.jhepr.2023.100742. eCollection 2023 Jul.

ABSTRACT

BACKGROUND & AIMS: Incidence rates of liver cancer in most populations are two to three times higher among men than women. The higher rates among men have led to the suggestion that androgens are related to increased risk whereas oestrogens are related to decreased risk. This hypothesis was investigated in the present study via a nested case-control analysis of pre-diagnostic sex steroid hormone levels among men in five US cohorts.

METHODS: Concentrations of sex steroid hormones and sex hormone-binding globulin were quantitated using gas chromatography-mass spectrometry and a competitive electrochemiluminescence immunoassay, respectively. Multivariable conditional logistic regression was used to calculate odds ratios (ORs) and 95% CIs for associations between hormones and liver cancer among 275 men who subsequently developed liver cancer and 768 comparison men.

RESULTS: Higher concentrations of total testosterone (OR per one-unit increase in log2 = 1.77, 95% CI = 1.38-2.29), dihydrotestosterone (OR = 1.76, 95% CI = 1.21-2.57), oestrone (OR = 1.74, 95% CI = 1.08-2.79), total oestradiol (OR = 1.58, 95% CI=1.22-20.05), and sex hormone-binding globulin (OR = 1.63, 95% CI = 1.27-2.11) were associated with increased risk. Higher concentrations of dehydroepiandrosterone (DHEA), however, were associated with a 53% decreased risk (OR = 0.47, 95% CI = 0.33-0.68).

CONCLUSIONS: Higher concentrations of both androgens (testosterone, dihydrotestosterone) and their aromatised oestrogenic metabolites (oestrone, oestradiol) were observed among men who subsequently developed liver cancer compared with men who did not. As DHEA is an adrenal precursor of both androgens and oestrogens, these results may suggest that a lower capacity to convert DHEA to androgens, and their subsequent conversion to oestrogens, confers a lower risk of liver cancer, whereas a greater capacity to convert DHEA confers a greater risk.

IMPACT AND IMPLICATIONS: This study does not fully support the current hormone hypothesis as both androgen and oestrogen levels were associated with increased risk of liver cancer among men. The study also found that higher DHEA levels were associated with lower risk, thus suggesting the hypothesis that greater capacity to convert DHEA could be associated with increased liver cancer risk among men.

PMID:37425211 | PMC:PMC10326694 | DOI:10.1016/j.jhepr.2023.100742

Front Cardiovasc Med. 2023 Jun 23;10:1161029. doi: 10.3389/fcvm.2023.1161029. eCollection 2023.

ABSTRACT

In the era of Precision Medicine the approach to disease diagnosis, treatment, and prevention is being transformed across medical specialties, including Cardiology, and increasingly involves genomics approaches. The American Heart Association endorses genetic counseling as an essential component in the successful delivery of cardiovascular genetics care. However, with the dramatic increase in the number of available cardiogenetic tests, the demand, and the test result complexity, there is a need not only for a greater number of genetic counselors but more importantly, for highly specialized cardiovascular genetic counselors. Consequently, there is a pressing need for advanced cardiovascular genetic counseling training, along with innovative online services, telemedicine, and patient-facing digital tools, as the most effective way forward. The speed of implementation of these reforms will be of essence in the translation of scientific advancements into measurable benefits for patients with heritable cardiovascular disease and their families.

PMID:37424912 | PMC:PMC10325680 | DOI:10.3389/fcvm.2023.1161029

Front Genet. 2023 Jun 23;14:1213457. doi: 10.3389/fgene.2023.1213457. eCollection 2023.

ABSTRACT

Nanopore sequencing has been examined as a method for rapid and high-resolution human leukocyte antigen (HLA) typing in recent years. We aimed to apply ultrarapid nanopore-based HLA typing for HLA class I alleles associated with drug hypersensitivity, including HLA-A*31:01, HLA-B*15:02, and HLA-C*08:01. Most studies have used the Oxford Nanopore Ligation Sequencing kit for HLA typing, which requires several enzymatic reactions and remains relatively expensive, even when the samples are multiplexed. Here, we used the Oxford Nanopore Rapid Barcoding kit, which is transposase-based, with library preparation taking less than 1 h of hands-on time and requiring minimal reagents. Twenty DNA samples were genotyped for HLA-A, -B, and -C; 11 samples were from individuals of different ethnicity and nine were from Thai individuals. Two primer sets, a commercial set and a published set, were used to amplify the HLA-A, -B, and -C genes. HLA-typing tools that used different algorithms were applied and compared. We found that without using several third-party reagents, the transposase-based method reduced the hands-on time from approximately 9 h to 4 h, making this a viable approach for obtaining same-day results from 2 to 24 samples. However, an imbalance in the PCR amplification of different haplotypes could affect the accuracy of typing results. This work demonstrates the ability of transposase-based sequencing to report 3-field HLA alleles and its potential for race- and population-independent testing at considerably decreased time and cost.

PMID:37424729 | PMC:PMC10326273 | DOI:10.3389/fgene.2023.1213457

Vet Clin North Am Small Anim Pract. 2023 Jul 7:S0195-5616(23)00089-X. doi: 10.1016/j.cvsm.2023.05.016. Online ahead of print.

ABSTRACT

Cardiomyopathies remain one of the most common inherited cardiac diseases in both human and veterinary patients. To date, well over 100 mutated genes are known to cause cardiomyopathies in humans with only a handful known in cats and dogs. This review highlights the need and use of personalized one-health approaches to cardiovascular case management and advancement in pharmacogenetic-based therapy in veterinary medicine. Personalized medicine holds promise in understanding the molecular basis of disease and ultimately will unlock the next generation of targeted novel pharmaceuticals and aid in the reversal of detrimental effects at a molecular level.

PMID:37423841 | DOI:10.1016/j.cvsm.2023.05.016

Am J Med. 2023 Jul 7:S0002-9343(23)00430-8. doi: 10.1016/j.amjmed.2023.06.014. Online ahead of print.

NO ABSTRACT

PMID:37423432 | DOI:10.1016/j.amjmed.2023.06.014

J Mol Cell Cardiol. 2023 Jul 6:S0022-2828(23)00106-2. doi: 10.1016/j.yjmcc.2023.06.005. Online ahead of print.

ABSTRACT

The reprogramming of somatic cells to a spontaneously contracting cardiomyocyte-like state using defined transcription factors has proven successful in mouse fibroblasts. However, this process has been less successful in human cells, thus limiting the potential clinical applicability of this technology in regenerative medicine. We hypothesized that this issue is due to a lack of cross-species concordance between the required transcription factor combinations for mouse and human cells. To address this issue, we identified novel transcription factor candidates to induce cell conversion between human fibroblasts and cardiomyocytes, using the network-based algorithm Mogrify. We developed an automated, high-throughput method for screening transcription factor, small molecule, and growth factor combinations, utilizing acoustic liquid handling and high-content kinetic imaging cytometry. Using this high-throughput platform, we screened the effect of 4960 unique transcription factor combinations on direct conversion of 24 patient-specific primary human cardiac fibroblast samples to cardiomyocytes. Our screen revealed the combination of MYOCD, SMAD6, and TBX20 (MST) as the most successful direct reprogramming combination, which consistently produced up to 40% TNNT2+ cells in just 25 days. Addition of FGF2 and XAV939 to the MST cocktail resulted in reprogrammed cells with spontaneous contraction and cardiomyocyte-like calcium transients. Gene expression profiling of the reprogrammed cells also revealed the expression of cardiomyocyte associated genes. Together, these findings indicate that cardiac direct reprogramming in human cells can be achieved at similar levels to those attained in mouse fibroblasts. This progress represents a step forward towards the clinical application of the cardiac direct reprogramming approach.

PMID:37421991 | DOI:10.1016/j.yjmcc.2023.06.005

Comput Biol Med. 2023 Jul 3;163:107231. doi: 10.1016/j.compbiomed.2023.107231. Online ahead of print.

ABSTRACT

Interleukin-6 upregulation leads to various acute phase reactions such as local inflammation and systemic inflammation in many diseases like cancer, multiple sclerosis, rheumatoid arthritis, anemia, and Alzheimer's disease stimulating JAK/STAT3, Ras/MAPK, PI3K-PKB/Akt pathogenic pathways. Since no small molecules are available in the market against IL-6 till now, we have designed a class of small bioactive 1,3 - indanedione (IDC) molecules for inhibiting IL-6 using a decagonal approach computational studies. The IL-6 mutations were mapped in the IL-6 protein (PDB ID: 1ALU) from thorough pharmacogenomic and proteomics studies. The protein-drug interaction networking analysis for 2637 FFDA-approved drugs with IL-6 protein using Cytoscape software showed that 14 drugs have prominent interactions with IL-6. Molecular docking studies showed that the designed compound IDC-24 (-11.8 kcal/mol) and methotrexate (-5.20) bound most strongly to the 1ALU south asian population mutated protein. MMGBSA results indicated that IDC-24 (-41.78 kcal/mol) and methotrexate (-36.81 kcal/mol) had the highest binding energy when compared to the standard molecules LMT-28 (-35.87 kcal/mol) and MDL-A (-26.18 kcal/mol). These results we substantiated by the molecular dynamic studies in which the compound IDC-24 and the methotrexate had the highest stability. Further, the MMPBSA computations produced energies of -28 kcal/mol and -14.69 kcal/mol for IDC-24 and LMT-28. KDeep absolute binding affinity computations revealed energies of -5.81 kcal/mol and -4.74 kcal/mol for IDC-24 and LMT-28 respectively. Finally, our decagonal approach established the compound IDC-24 from the designed 1,3-indanedione library and methotrexate from protein drug interaction networking as suitable HITs against IL-6.

PMID:37421735 | DOI:10.1016/j.compbiomed.2023.107231

Drug Metab Dispos. 2023 Jul 7:DMD-MR-2022-001066. doi: 10.1124/dmd.122.001066. Online ahead of print.

ABSTRACT

Interindividual variability in drug metabolism can significantly affect drug concentrations in the body and subsequent drug response. Understanding an individual's drug metabolism capacity is important for predicting drug exposure and developing precision medicine strategies. The goal of precision medicine is to individualize drug treatment for patients to maximize efficacy and minimize drug toxicity. While advances in pharmacogenomics have improved our understanding of how genetic variations in drug-metabolizing enzymes (DMEs) affect drug response, non-genetic factors are also known to influence drug metabolism phenotypes. This minireview will discuss approaches beyond pharmacogenetic testing to phenotype DMEs- particularly the cytochrome P450 enzymes- in clinical settings. Several phenotyping approaches have been proposed: traditional approaches include phenotyping with exogenous probe substrates and the use of endogenous biomarkers; newer approaches include evaluating circulating non-coding RNAs (ncRNAs) and liquid biopsy-derived markers relevant to DME expression and function. The goals of this minireview are to: 1) provide a high-level overview of traditional and novel approaches to phenotype individual drug metabolism capacity; 2) describe how these approaches are being applied or can be applied to pharmacokinetic studies; and 3) discuss perspectives on future opportunities to advance precision medicine in diverse populations. Significance Statement This minireview provides an overview of recent advances in approaches to characterize individual drug metabolism phenotypes in clinical settings. Herein, we highlight the integration of existing pharmacokinetic biomarkers with novel approaches; also discussed are current challenges and existing knowledge gaps. The article concludes with perspectives on the future deployment of a liquid biopsy-informed physiologically based pharmacokinetic (PBPK) strategy for patient characterization and precision dosing.

PMID:37419681 | DOI:10.1124/dmd.122.001066

J Mol Diagn. 2023 Jul 5:S1525-1578(23)00136-8. doi: 10.1016/j.jmoldx.2023.06.008. Online ahead of print.

ABSTRACT

The goals of the Association for Molecular Pathology (AMP) Clinical Practice Committee's Pharmacogenomics (PGx) Working Group are to define the key attributes of pharmacogenetic alleles recommended for clinical testing and a minimum set of variants that should be included in clinical PGx genotyping assays. This document series provide recommendations for a minimum panel of variant alleles ("Tier 1") and an extended panel of variant alleles ("Tier 2") that will aid clinical laboratories when designing assays for PGx testing. The AMP PGx Working Group considered functional impact of the variant alleles, allele frequencies in multiethnic populations, the availability of reference materials, as well as other technical considerations for PGx testing when developing these recommendations. The goal of this Working Group is to promote standardization of PGx genes/alleles testing across clinical laboratories. This document will focus on clinical CYP3A4 and CYP3A5 PGx testing that may be applied to all CYP3A4 and CYP3A5-related medications. These recommendations are not to be interpreted as prescriptive but to provide a reference guide.

PMID:37419245 | DOI:10.1016/j.jmoldx.2023.06.008

JBRA Assist Reprod. 2023 Jul 7. doi: 10.5935/1518-0557.20220074. Online ahead of print.

ABSTRACT

OBJECTIVE: Single nucleotide variants have been implicated in the response to fertility treatment and a pharmacogenomic approach may help to customize therapy based on patient genome. We aimed to evaluate the effect, individual and combined, of SYCP2L (rs2153157:G>A) and TDRD3 (rs4886238:G>A) variants on ovarian reserve, response to controlled ovarian stimulation (COS) and reproductive outcomes of women undergoing in vitro fertilization (IVF) treatment.

METHODS: This cross-sectional study included 149 normoovulatory women undergoing IVF. Genotyping was performed using the TaqMan real-time polymerase chain reaction method. Clinical parameters and reproductive outcomes were compared according to the genotypes of the variants studied.

RESULTS: Considering ovarian reserve, there were no significant differences among SYCP2L or TDRD3 genotypes in terms of FSH levels or AFC; however, AMH levels were significantly different in carriers of both variants. Regarding the SYCP2L rs2153157:G>A variant, lower AMH levels were observed in women carrying an AA genotype compared to women carrying a heterozygous genotype (p=0.01). Considering the TDRD3 rs4886238:G>A variant, women carrying an AA genotype presented higher AMH levels than carriers of GG and GA genotypes (p=0.025). Nevertheless, no difference was found regarding response to COS or reproductive outcomes. Considering the combined effect of the variants, women carrying the heterozygous genotype of both variants presented statistically increased AMH levels compared to SYCP2L rs2153157 AA genotype carriers and TDRD3 rs4886238 GG genotype carriers (p=0.042).

CONCLUSIONS: Individually and combined, the SYCP2L rs2153157 and TDRD3 rs4886238 variants have an effect on AMH level.

PMID:37417852 | DOI:10.5935/1518-0557.20220074

Prog Brain Res. 2023;278:25-60. doi: 10.1016/bs.pbr.2023.01.002. Epub 2023 Mar 2.

ABSTRACT

Antidepressant response, the effectiveness of antidepressants in relieving symptoms of depression, is a complex trait influenced by both genetic and environmental factors. However, despite decades of research, the specific genetic variations that contribute to antidepressant response and treatment-resistant depression (TRD) remain largely unknown. In this review, we summarize the current state of knowledge of the genetics of antidepressant response and TRD, including candidate gene association studies, genome-wide association studies (GWAS), polygenic risk score (PRS) analyses, whole genome sequencing studies, research on other genetic and epigenetic changes, and the potential for precision medicine in this field. Although some progress has been made in identifying genetic factors associated with antidepressant response and TRD, much work remains to be done, particularly in terms of larger sample sizes and standardization of outcome measures. Further research in this area has the potential to improve the treatment of depression and increase the chances of successful treatment for individuals with this common and debilitating mental illness.

PMID:37414493 | DOI:10.1016/bs.pbr.2023.01.002

Expert Opin Drug Metab Toxicol. 2023 Jul 6. doi: 10.1080/17425255.2023.2233412. Online ahead of print.

ABSTRACT

INTRODUCTION: Asparaginase is essential to chemotherapy regimens for acute lymphoblastic leukemia (ALL). Survival of patients with ALL has improved since incorporating asparaginase into chemotherapy backbones. Hispanic patients have a higher incidence of ALL than other ethnicities and suffer inferior outcomes. The inferior outcome of Hispanics is due to several factors, including the increased incidence of high-risk genetic subtypes and susceptibility to treatment-related toxicity.

AREAS COVERED: We summarize the current knowledge of asparaginase-related toxicity by comparing their incidence between Hispanic and non-Hispanic patients. These toxicities include hypersensitivity, hepatotoxicity, pancreatitis, thrombosis, and hypertriglyceridemia. The PubMed database and Google Scholar were used to search for this review from October to December 2022.

EXPERT OPINION: Except for hepatotoxicity and hypertriglyceridemia secondary to asparaginase-based treatments, which may develop more frequently among Hispanic patients with ALL, other toxicities were comparable between Hispanic and non-Hispanic patients. Nevertheless, studies with larger cohorts and more accurate capturing of Hispanic ethnicity should be conducted to fill the gaps in the current knowledge.

PMID:37410014 | DOI:10.1080/17425255.2023.2233412