Efficacy Of Drug Treatment Research Articles

Effectiveness of systemic treatments for advanced non-clear cell renal cell carcinoma: a systematic review and meta-analysis

BackgroundNon-clear cell renal cell carcinoma (nccRCC) represents a heterogeneous group of malignancies with substantial differences in morphology, genetic profiles, clinical behavior, and prognosis. Optimal treatment for nccRCC remains unclear, largely extrapolated from evidence available for clear cell renal cell carcinoma (ccRCC). This study aimed to compare the efficacy of current mainstream drug treatments for nccRCC to provide clinical treatment guidance for advanced cases.MethodsWe systematically searched PubMed, Embase, and Cochrane databases for trials published up to January 2, 2024, including controlled and single-arm trials. Primary outcomes included overall response rate (ORR), disease control rate (DCR), progression-free survival (PFS), and overall survival (OS).ResultsWe selected six randomized controlled trials (RCTs) comparing mammalian target of rapamycin inhibitors (mTORi) with vascular endothelial growth factor receptor tyrosine kinase inhibitors (VEGFR-TKIs). These trials included four first-line and two second-line studies, with a total of 398 advanced nccRCC patients. Pooled results showed that VEGFR-TKIs significantly improved PFS compared to mTORi in first-line treatment (relative risk [RR] = 1.387; 95% confidence interval [CI]: 1.04-1.85; p = 0.026). In a single-arm meta-analysis, we included 22 VEGFR-TKI trials, three mTORi trials, 12 immune checkpoint inhibitor (ICI) therapies, five chemotherapy trials, and 10 combination therapy trials. The pooled ORR ranged from 6% (95% CI: 0–16%) to 36% (95% CI: 27–44%), and the pooled DCR ranged from 54% (95% CI: 50–58%) to 81% (95% CI: 70–91%). Subgroup analysis of ICI showed a higher ORR in the PD-L1 positive group compared to the PD-L1 negative group (RR = 3.044; 95% CI: 1.623-5.709; p = 0.001).ConclusionThis systematic review and meta-analysis demonstrate that VEGFR-TKIs improve PFS in first-line treatment compared to mTORi. The single-arm meta-analysis suggest that combination therapies with different mechanisms result in better ORR and DCR. Furthermore, PD-L1 positive patients showed significantly better therapeutic responses with ICI treatment than PD-L1 negative patients.

Integrating Single-cell and Bulk RNA-seq to Construct a Metastasis-related Model for Evaluating Immunotherapy and Chemotherapy in Uveal Melanoma.

Metastasis is a major cause of death in UM, highlighting the need to use highly specific and sensitive prognostic markers to identify patients with a risk of developing metastasis. The aim of this study was to improve the current precision treatment for patients with metastatic uveal melanoma (UM). The objective of this work was to investigate the heterogeneity between primary human UM and metastatic UM at the single-cell level and to discover potential molecules regulating UM metastasis. Seurat R toolkit was employed to analyze single-cell sequencing data of UM and to identify differentially expressed genes (DEGs) between primary and metastatic UM. Least absolute shrinkage and selection operator (LASSO) and Cox regression analyses were performed on the DEGs from the bulk RNA-seq cohort to develop a prognostic model. Based on the model, patients were divided into high and low groups. The correlations among the risk score, immune indicators, immune checkpoint blockade (ICB) therapy, and anti-tumor drug therapy were analyzed. Cell types in primary UM and metastatic UM tumors include B/plasma cells, endothelial cells, melanocytes, monocytes/macrophages, photoreceptor cells, and T cells. Among 157 DEGs between the two tumor types, S100A4, PDE4B, CHCHD10, NSG1, and C4orf48 were selected to construct a prognostic model. The model could accurately and independently predict response to ICB treatment and sensitivity to antineoplastic drugs for UM patients as well as their immune infiltration levels, risk of death, and metastasis possibility. This study analyzed the tumor ecosystem of primary and metastatic UM, providing a metastasis-related model that could be used to evaluate the prognosis, risk of metastasis, immunotherapy, and efficacy of antineoplastic drug treatment of UM.

Evolution of Rapid Clonal Dynamics and Non-Cross-Resistance in Response to Alternating Targeted Therapy and Chemotherapy in BRAF-V600E-Mutant Colon Cancer.

Combined BRAF, MEK, and EGFR inhibition can induce clinical responses in BRAF-V600E-mutant colon cancer, but rapid resistance often occurs. We use serial monitoring of circulating tumor DNA cell-free plasma DNA (cfDNA) in a patient case study in addition to organoids derived from mouse models of BRAF-V600E-mutant intestinal cancer, which emulated the patient's mutational profile to assess drug treatment efficacy. We demonstrate dynamic evolution of resistance to combined EGFR/BRAF/MEK inhibition in a pediatric patient with metastatic BRAF-V600E-mutant, mismatch repair-stable colon cancer. Initial resistance to targeted therapy was associated with development of MET amplification. Sequential treatment with chemotherapy and targeted therapy resulted in clearing of the resistant MET-amplified clone. Rechallenge with combined BRAF/EGFR inhibition resulted in clinical and radiographic response, demonstrating these treatments may be non-cross-resistant. Tumor organoids were used to model clinical findings and demonstrated effectiveness of combined targeted therapy and chemotherapy. These findings suggest rational strategies for combining sequential chemotherapy and BRAF-/EGFR-directed therapy in BRAF-V600E-mutant colon cancer to prevent resistance and improve outcome. The data demonstrate rapid clonal dynamics in response to effective therapies in BRAF-V600E-mutant colon cancer that can be monitored by serial cfDNA analysis. Moreover, in mismatch repair-proficient BRAF-V600E-mutant colon cancers, combined EGFR and BRAF/MEK therapy is not cross-resistant with standard chemotherapy, suggesting new rational combination treatment strategies.

Bactericidal antibiotic treatment induces damaging inflammation via TLR9 sensing of bacterial DNA

The immunologic consequences of using bactericidal versus bacteriostatic antibiotic treatments are unclear. We observed a bacteriostatic (growth halting) treatment was more protective than a bactericidal (bacteria killing) treatment in a murine peritonitis model. To understand this unexpected difference, we compared macrophage responses to bactericidal treated bacteria or bacteriostatic treated bacteria. We found that Gram-negative bacteria treated with bactericidal drugs induced more proinflammatory cytokines than those treated with bacteriostatic agents. Bacterial DNA – released only by bactericidal treatments – exacerbated inflammatory signaling through TLR9. Without TLR9 signaling, the in vivo efficacy of bactericidal drug treatment was rescued. This demonstrates that antibiotics can act in important ways distinct from bacterial inhibition: like causing treatment failure by releasing DNA that induces excessive inflammation. These data establish a novel link between how an antibiotic affects bacterial physiology and subsequent immune system engagement, which may be relevant for optimizing treatments to simultaneously clear bacteria and modulate inflammation.

Spheroid culture to select theoretical therapeutic drugs in intravascular large B-cell lymphoma.

Intravascular large B-cell lymphoma (IVLBCL) is a rare type of extranodal large B-cell lymphoma that is characterized by the proliferation of lymphoma cells in the lumina of small vessels. Recent progress uncovering the genetic characteristics associated with MYD88/CD79B mutations has stimulated interest in the use of drugs targeting B-cell receptor signaling, including Bruton's tyrosine kinase. However, difficulties in culturing exvivo IVLBCL cells has hampered research on the development of novel therapies. In the present study, we demonstrated the establishment of an exvivo culture system of IVLBCL cells obtained from patient-derived xenograft (PDX) models. The spheroid culture enabled us to culture IVLBCL PDX cells for more than 10 days and to explore the efficacy of drug treatments acting on these cells. We found that carfilzomib and ibrutinib were effective for treating IVLBCL in exvivo experiments and conducted invivo analyses to assess the efficacy of these drugs. Although the efficacy of carfilzomib was difficult to confirm due to its toxicity in our models, ibrutinib showed comparable efficacy to a standard combination of chemotherapy drugs. Together, our data provide a new culture method for IVLBCL PDX cells and a rationale for translating ibrutinib to clinical use in IVLBCL patients.

Lymphoma and Leukemia Cell Vulnerabilities and Resistance Identified by Compound Library Screens.

Response to anticancer agents is often restricted to subsets of patients. Recognition of factors underlying this heterogeneity and identification of biomarkers associated with response to drugs would greatly improve the efficacy of drug treatment. Platforms that can comprehensively map cellular response to compounds in high-throughput provide a unique tool to identify associated biomarkers and provide hypotheses for mechanisms underlying variable response. Such screens can be performed on cell lines and short-term cultures of primary cells to take advantage of the respective models' strength, which include, e.g., the ability to silence genes or introduce somatic mutations to cell lines. Cohorts of patient samples represent the natural diversity of cancers, including rarer mutations and combinatorial patterns of mutations that are often absent from existing cell lines. We here summarize a simple and scalable method for the measurement of viability after drug exposure based on ATP measurements as a surrogate for viability, which we use to measure and understand drug response in cell lines and primary cells.

Modeling transmission mechanism to infer treatment efficacy of different drugs and combination therapy against Trichuris trichiura

Trichuris trichiura is one of four soil-transmitted helminth species that, collectively, are responsible for a considerable public health burden. The World Health Organization recommends preventive chemotherapy as the main intervention to eliminate soil-transmitted helminthiasis as a public health problem. Clinical trials estimated the efficacy of different drugs and treatment regimen against T. trichiura and other soil-transmitted helminth species, whilst meta-analyses and modeling efforts were conducted to determine the most efficacious drugs and drug combinations. Of note, the diagnostic error was often neglected, and hence, cure rates (CRs) might be overestimated. We developed a Bayesian model, which estimates drug efficacy against T. trichiura, taking into account the transmission mechanism and the diagnostic error. The model was fitted to individual-level egg count data from an ensemble of seven trials with 29 treatments. We estimated the ‘true’ CRs, which were consistently lower than those reported in the literature. In our analysis, the treatment with the highest CR was combination therapy of albendazole plus pyrantel pamoate plus oxantel pamoate with a CR of 79% and an egg reduction rate (ERR) of 91%. Albendazole plus oxantel pamoate showed the highest ERR of 97% and a CR of 69%. Additionally, we estimated the intensity-dependent sensitivity of the Kato-Katz technique. For 24 eggs per gram of stool, the sensitivity was around 50% for a single Kato-Katz thick smear and increased to almost 70% for duplicate Kato-Katz thick smears. Combination therapies against soil-transmitted helminthiasis should be considered and the evaluation of infection intensity in low transmission settings via multiple Kato-Katz thick smears is recommended.

Current Overview of the Biology and Pharmacology in Sugen/Hypoxia-Induced Pulmonary Hypertension in Rats.

The Sugen 5416/hypoxia (Su/Hx) rat model of pulmonary arterial hypertension (PAH) demonstrates most of the distinguishing features of PAH in humans, including increased wall thickness and obstruction of the small pulmonary arteries along with plexiform lesion formation. Recently, significant advancement has been made describing the epidemiology, genomics, biochemistry, physiology, and pharmacology in Su/Hx challenge in rats. For example, there are differences in the overall reactivity to Su/Hx challenge in different rat strains and only female rats respond to estrogen treatments. These conditions are also encountered in human subjects with PAH. Also, there is a good translation in both the biochemical and metabolic pathways in the pulmonary vasculature and right heart between Su/Hx rats and humans, particularly during the transition from the adaptive to the nonadaptive phase of right heart failure. Noninvasive techniques such as echocardiography and magnetic resonance imaging have recently been used to evaluate the progression of the pulmonary vascular and cardiac hemodynamics, which are important parameters to monitor the efficacy of drug treatment over time. From a pharmacological perspective, most of the compounds approved clinically for the treatment of PAH are efficacious in Su/Hx rats. Several compounds that show efficacy in Su/Hx rats have advanced into phase II/phase III studies in humans with positive results. Results from these drug trials, if successful, will provide additional treatment options for patients with PAH and will also further validate the excellent translation that currently exists between Su/Hx rats and the human PAH condition.

A biomechanics research on drug therapy in the rehabilitation of sports training injuries

In the process of sports training and competition, if sports injury occurs, it not only has a serious impact on the physical and psychological of athletes, but also has a negative impact on the overall training and competition. During the competition, if effective treatment is not obtained, it can have an irreversible impact on athletes’ future participation in sports. Nowadays, many athletes lack knowledge on the prevention and treatment of sports injuries during physical exercise. Therefore, it is urgent to conduct research and analysis on the treatment methods for training injury rehabilitation. In this paper, the visual analogue scale (VAS) and cell landscape analysis technology were used to analyze and compare the therapeutic effects of platelet rich plasma (PRP) injection technology, diclofenac, indomethacin, Qili San and placebo tablets. Focusing on how these drugs promote rehabilitation by affecting mechanical parameters and tissue mechanical properties, it is concluded that PRP injection technique, diclofenac and indomethacin improve the treatment effect of pain after rehabilitation of sports injuries. The number of people who completely recovered with Indomethacin was 4 and that with placebo was 2. The results show that these drugs significantly improve the mechanical properties of the tissue and contribute to the rehabilitation process. This study has further explored the drug treatment of sports injury, explored several drug treatment mechanisms and efficacy and has guiding significance for subsequent drug treatment of sports injury.

Determination of mometasone furoate solubility, using deep eutectic systems, and topical formulation- experimental and computational studies

The low solubility of some drugs in aqueous medium, is currently a challenge for the pharmaceutical industry, affecting drug bioavailability and treatment efficacy, so there is the need to find new solutions for this challenge. In this work, the solubility of a glucocorticoid drug, mometasone furoate (MF), in different deep eutectic systems (DES) is studied. DES present the advantage of being sustainable solvents, which can be used directly in the final formulation, and establish a synergistic effect with the drug. The solubility of MF in different DES is increased, when compared to the solubility of this drug in an aqueous medium, particularly in DES composed by levulinic acid and terpenes such as menthol and thymol, where the solubility of MF was of 24.1 and 103.3 mgMF/gDES, respectively. Solubility was also assessed using the computational determination of the Hansen solubility parameters of MF in these DES, in particular the total solubility parameter (δT) and Relative Energy Difference (RED). The obtained results correlate well with the MF measured experimentally, showing that this computational tool can be further used to predict MF solubility in DES. Furthermore, oil-in-water emulsions containing DES with MF were developed, allowing more versatility compared to the drug in powdered form, and were prepared containing 1 and 5 % of DES with MF. This work highlights that DES can have an important role in drug solubilization and in the development of new formulation strategies for the pharmaceutical industries.

Allele frequency of genetic variations related to the UGT1A1 gene-drug pair in a group of Iranian population.

The efficacy and safety of drug treatments vary widely due to genetic variations. Pharmacogenomics investigates the impact of genetic variations on patient drug response. This research investigates the frequency of UGT1A1 genetic variations in the Iranian population, comparing them with global data to provide insights into the pharmacogenomic approach in the Iranian population. The study was conducted using the data of the Bushehr Elderly Health (BEH) program, a population-based cohort study of the elderly population aged ≥ 60 years. Genotyping of three UGT1A1 variant alleles (UGT1A1*6, UGT1A1*27, and UGT1A1*80) was performed on a group of 2730 elderly Iranian participants with the Infinium Global Screening Array. The genotyping analysis revealed significant differences compared to major global populations that were addressed in the gnomAD database. UGT1A1*80 was found at a high frequency (32.34%), and followed by UGT1A1*6 (0.76%) and UGT1A1*27 (0.018) at a low frequency in the Iranian group. The UGT1A1*80 was the more prevalent allele between investigated alleles in the present study which can be considered as an important allele for pharmacogenomic testing.

Implementation and Evaluation Strategies for Pharmacogenetic Testing in Hospital Settings: A Scoping Review.

Pharmacogenetic testing in clinical settings has improved the safety and efficacy of drug treatment. There is a growing number of studies evaluating pharmacogenetic implementation and identifying barriers and facilitators. However, no review has focused on bridging the gap between identifying barriers and facilitators of testing and the clinical strategies adopted in response. This review was conducted to understand the implementation and evaluation strategies of pharmacogenetic testing programs. A PRISMA-compliant scoping review was conducted. The included studies discussed pharmacogenetic testing programs implemented in a hospital setting. Quantitative, qualitative, and mixed design methods were included. A total of 232 of the 7043 articles that described clinical pharmacogenetic programs were included. The most common specialties that described pharmacogenetic implementation were psychiatry (26%) and oncology (16%), although many studies described institutional programs implemented across multiple specialties (19%). Different specialties reported different clinical outcomes, but all reported similar program performance indicators, such as test uptake and the number of times the test recommendations were followed. There were benefits and drawbacks to delivering test results through research personnel, pharmacists, and electronic alerts, but active engagement of physicians was necessary for the incorporation of pharmacogenetic results into clinical decision making. Further research is required on the maintenance and sustainability of pharmacogenetic testing initiatives. These findings provide an overview of the implementation and evaluation strategies of different specialties that can be used to improve pharmacogenetic testing.

Significance of novel PANoptosis genes to predict prognosis and therapy effect in the lung adenocarcinoma

Lung adenocarcinoma (LUAD) is the dominant histotype of non-small cell lung cancer. Panoptosis, a comprehensive form of programmed cell death, is central to carcinogenesis. In this study, the expression of PANoptosis-related genes (PRGs) and their impact on the development, prognosis, tumor microenvironment, and treatment response of patients with lung adenocarcinoma (LUAD) were systematically evaluated. PRGs were selected from The Cancer Genome Atlas database and Genecards dataset using differential expression analysis. The signature of included PRGs was identified using univariate Cox regression analysis and LASSO regression analysis. Additionally, a nomogram was developed that includes signature and clinical information. Kaplan–Meier survival analysis and receiver operating characteristic curves were used to assess the predictive validity of these risk models. Finally, functional analysis of the selected PRGs in signature and analysis of immune landscape were also performed. Preliminary identification of 10 genes related to PANoptosis has significant implications for prognosis. Subsequently, seven related genes were integrated to classify LUAD patients into different survival risk groups. The prognostic risk score generated from the signature and the TNM stage were as independent prognostic factors and were utilized in creating a nomogram plot. Both the features and the nomogram plot showed accurate performance in predicting the overall survival of LUAD patients. The PRGs were enriched in several biological functions and pathways, and stratified studies were conducted on the differences in immune landscape between high-risk and low-risk groups based on their characteristics. Ultimately, our evaluation focused on the differences in drug treatment efficacy between the high-risk and low-risk groups, providing a foundation for future research directions. Potential associations between PRGs and patient prognosis in LUAD have been identified in this study. Potential biomarkers for clinical application could be considered for the prognostic predictors identified in this study.

Subcellular Drug Distribution: Exploring Organelle-Specific Characteristics for Enhanced Therapeutic Efficacy.

The efficacy and potential toxicity of drug treatments depends on the drug concentration at its site of action, intricately linked to its distribution within diverse organelles of mammalian cells. These organelles, including the nucleus, endosome, lysosome, mitochondria, endoplasmic reticulum, Golgi apparatus, lipid droplets, exosomes, and membrane-less structures, create distinct sub-compartments within the cell, each with unique biological features. Certain structures within these sub-compartments possess the ability to selectively accumulate or exclude drugs based on their physicochemical attributes, directly impacting drug efficacy. Under pathological conditions, such as cancer, many cells undergo dynamic alterations in subcellular organelles, leading to changes in the active concentration of drugs. A mechanistic and quantitative understanding of how organelle characteristics and abundance alter drug partition coefficients is crucial. This review explores biological factors and physicochemical properties influencing subcellular drug distribution, alongside strategies for modulation to enhance efficacy. Additionally, we discuss physiologically based computational models for subcellular drug distribution, providing a quantifiable means to simulate and predict drug distribution at the subcellular level, with the potential to optimize drug development strategies.

AI and Conventional Techniques used for Drugs and Orthodontic Tooth Movement

Artificial Intelligence (AI) is emerging as a transformative force in both drug development and orthodontics. This paper provides an overview of key AI techniques employed in these fields. In drug development, AI is accelerating discovery, development, and delivery through generative models, predictive modeling, image analysis, and natural language processing. Orthodontics benefits from AI through image analysis, treatment planning, and patient experience enhancement. Common AI techniques in both domains include machine learning, deep learning, natural language processing, and computer vision. By leveraging these technologies, researchers and clinicians can achieve significant advancements in drug discovery, treatment efficacy, and patient care.

Personalized Vascularized Models of Breast Cancer Desmoplasia Reveal Biomechanical Determinants of Drug Delivery to the Tumor.

Desmoplasia in breast cancer leads to heterogeneity in physical properties of the tissue, resulting in disparities in drug delivery and treatment efficacy among patients, thus contributing to high disease mortality. Personalized in vitro breast cancer models hold great promise for high-throughput testing of therapeutic strategies to normalize the aberrant microenvironment in a patient-specific manner. Here, tumoroids assembled from breast cancer cell lines (MCF7, SKBR3, and MDA-MB-468) and patient-derived breast tumor cells (TCs) cultured in microphysiological systems including perfusable microvasculature reproduce key aspects of stromal and vascular dysfunction causing impaired drug delivery. Models containing SKBR3 and MDA-MB-468 tumoroids show higher stromal hyaluronic acid (HA) deposition, vascular permeability, interstitial fluid pressure (IFP), and degradation of vascular HA relative to models containing MCF7 tumoroids or models without tumoroids. Interleukin 8 (IL8) secretion is found responsible for vascular dysfunction and loss of vascular HA. Interventions targeting IL8 or stromal HA normalize vascular permeability, perfusion, and IFP, and ultimately enhance drug delivery and TC death in response to perfusion with trastuzumab and cetuximab. Similar responses are observed in patient-derived models. These microphysiological systems can thus be personalized by using patient-derived cells and can be applied to discover new molecular therapies for the normalization of the tumor microenvironment.

Role of Brown Adipose Tissue in Metabolic Health and Efficacy of Drug Treatment for Obesity.

(1) Background: Brown adipose tissue (BAT) is responsible for non-shivering thermogenesis, and its activation has become a new object as both a determinant of metabolic health and a target for therapy. This study aimed to identify the relationships between the presence of BAT, parameters that characterize metabolic health (glucose, lipids, blood pressure (BP)), and the dynamics of body mass index (BMI) during weight-reducing therapy. (2) Methods: The study included 72 patients with obesity. We investigated metabolic parameters, anthropometric parameters, and BP. Dual-energy X-ray absorptiometry (DXA) and positron emission tomography and computed tomography (PET/CT) imaging with 18F-fluorodeoxyglucose (18F-FDG) were performed. (3) Results: Before weight-reducing therapy, BAT was revealed only in 19% patients with obesity. The presence of BAT was associated with a lower risk of metabolic deviations that characterize metabolic syndrome: shorter waist circumference (WC) (p = 0.02) and lower levels of glucose (p = 0.03) and triglycerides (p = 0.03). Thereafter, patients were divided into four groups according to the type of therapy (only lifestyle modification or with Liraglutide or Reduxin or Reduxin Forte). We did not find a relationship between the presence of BAT and response to therapy: percent weight reduction was 10.4% in patients with BAT and 8.5% in patients without BAT (p = 0.78) during six months of therapy. But we noted a significant positive correlation between the volume of BAT and the effectiveness of weight loss at 3 months (r = 0.52, p = 0.016). The dynamic analysis of BAT after 6 months of therapy showed a significant increase in the volume of cold-induced metabolically active BAT, as determined by PET/CT with 18F-FDG in the Liraglutide group (p = 0.04) and an increase in the activity of BAT standardized uptake value (SUV mean and SUV max) in the Reduxin (p = 0.02; p = 0.01, respectively) and Liraglutide groups (p = 0.02 in both settings). (4) Conclusions: The presence of brown adipose tissue is associated with a lower risk of metabolic abnormalities. In general, our study demonstrated that well-established drugs in the treatment of obesity (Liraglutide and Reduxin) have one more mechanism for implementing their effects. These drugs have the ability to increase the activity of BAT. A significant positive relationship between the total volume of BAT and the percentage of weight loss may further determine the priority mechanism of the weight-reducing effect of these medicaments.

Pharmacogenomics: A Genetic Approach to Drug Development and Therapy.

The majority of the well-known pharmacogenomics research used in the medical sciences contributes to our understanding of medication interactions. It has a significant impact on treatment and drug development. The broad use of pharmacogenomics is required for the progress of therapy. The main focus is on how genes and an intricate gene system affect the body's reaction to medications. Novel biomarkers that help identify a patient group that is more or less likely to respond to a certain medication have been discovered as a result of recent developments in the field of clinical therapeutics. It aims to improve customized therapy by giving the appropriate drug at the right dose at the right time and making sure that the right prescriptions are issued. A combination of genetic, environmental, and patient variables that impact the pharmacokinetics and/or pharmacodynamics of medications results in interindividual variance in drug response. Drug development, illness susceptibility, and treatment efficacy are all impacted by pharmacogenomics. The purpose of this work is to give a review that might serve as a foundation for the creation of new pharmacogenomics applications, techniques, or strategies.

Characteristics and management of juvenile type 2 diabetes mellitus

Background: Over the past two decades, there have been numerous reports on the increasing incidence of type 2 diabetes mellitus (T2DM) in children and adolescents. This trend, which parallels the increase in the prevalence and degree of pediatric obesity, is causing significant concern. This review focuses on the characteristics andcurrent management strategies for juvenile patients with T2DM. Current Concepts: Juvenile T2DM differs from type 1 diabetes mellitus (T1DM) in children and T2DM in adults as it is an aggressive disease with rapidly progressive β-cell decline, high treatment failure rate, and accelerated development of complications. Current management approaches include lifestyle changes such as improved diet and increased physical activity, and pharmacological interventions such as metformin, insulin, and liraglutide.Discussion and Conclusion: Early diagnosis and prevention of T2DM in children and adolescents are essential. Furthermore, compared to adults, there is still a lack of available treatment drugs or research in children and adolescents. Therefore, long-term research on the efficacy and safety of various drug treatments for T2DM in children and adolescents is required. Additionally, as it is often asymptomatic in its early stages, significant efforts by physicians are required for the early diagnosis and prevention of T2DM.

THE EFFECT OF INTRA-INFUSION EXERCISE ON CHEMOTHERAPY SIDE EFFECTS; AN INTERIM ANALYSIS

INTRODUCTION Chemotherapy treatment results in side effects that impact quality of life and physical activity behaviours. Aerobic exercise in parallel with chemotherapy reduces side effects particularly fatigue and improves quality of life. Our recent clinical pilot work has shown that an acute bout of aerobic exercise increases blood flow to tumours. Therefore, if exercise is performed during chemotherapy (intra-infusion exercise), the result may be increased drug delivery and treatment efficacy. Intra-infusion exercise also provides a supervised opportunity to overcome patient-reported barriers to exercise during a period where a patient would be otherwise sedentary. AIM: The aim of this ongoing randomised controlled trial is to determine the effects of aerobic intra-infusion exercise on chemotherapy side effects and physical activity behaviours. METHODS Adults under 75 years receiving chemotherapy with stage I-III breast, colorectal or ovarian cancer, and ECOG 0-2 were eligible. Four chemotherapy sessions were included, cycle 1 (C1) a baseline and cycles 2-4 (C2-4) included exercise intervention or usual care. The exercise task was 20-minutes of moderate intensity cycling (40-50% heart rate reserve) during infusion. All participants received exercise education. A 7-day symptom diary (including Brief Fatigue Inventory (BFI) and Edmonton Symptom Assessment System (ESAS)) was completed following C1-C4 and an activity monitor worn. RESULTS Nineteen participants have completed the trial (79% female), with no adverse events reported in either group. Physical symptoms increased across cycles in both groups (p=0.003). 1-week mean ESAS physical symptoms total in the exercise group (C1 16±9.8, C4 23±13.7) and control group (C1 18±7.1, C4 23±12.7) were similar. No significant effects were seen for fatigue or step count. CONCLUSION Intra-infusion exercise is safe and does not increase side effects in patients receiving chemotherapy. Expected increases in physical symptoms were observed without difference between usual care and exercise. Further analysis with ongoing recruitment will continue to examine any differences between groups.