Variability In Patient Response Research Articles

Variation in human gut microbiota impacts tamoxifen pharmacokinetics.

Tamoxifen is the most prescribed drug used to prevent breast cancer recurrence, but patients show variable responses to tamoxifen. Such differential inter-individual response has a significant socioeconomic impact as one in eight women will develop breast cancer and nearly half a million people in the United States are treated with tamoxifen annually. Tamoxifen is orally delivered and must be activated by metabolizing enzymes in the liver; however, clinical studies show that neither genotype nor hepatic metabolic enzymes are sufficient to predict why some patients have sub-therapeutic levels of the drug. Here, using gnotobiotic- and antibiotics-treated mice, we show that tamoxifen pharmacokinetics are heavily influenced by gut bacteria and prolonged exposure to tamoxifen. Interestingly, 16S rRNA gene sequencing shows tamoxifen does not affect overall microbiota composition and abundance. Metabolomics, however, reveals differential metabolic profiles across the microbiomes of different donors cultured with tamoxifen, suggesting an enzymatic diversity within the gut microbiome that influences response to tamoxifen. Consistent with this notion, we found that β-glucuronidase (GUS) enzymes vary in their hydrolysis activity of glucuronidated tamoxifen metabolites across the gut microbiomes of people. Together, these findings highlight the importance of the gut microbiome in tamoxifen's pharmacokinetics.IMPORTANCEOne in eight women will develop breast cancer in their lifetime, and tamoxifen is used to suppress breast cancer recurrence, but nearly 50% of patients are not effectively treated with this drug. Given that tamoxifen is orally administered and, thus, reaches the intestine, this variable patient response to the drug is likely related to the gut microbiota composed of trillions of bacteria, which are remarkably different among individuals. This study aims to understand the impact of the gut microbiome on tamoxifen absorption, metabolism, and recycling. The significance of our research is in defining the role that gut microbes play in tamoxifen pharmacokinetics, thus paving the way for more tailored and effective therapeutic interventions in the prevention of breast cancer recurrence.

Dissecting the Tumor Microenvironment (TME) to Decipher New Immunotherapy Targets by Using Artificial Intelligence

Cancer remains one of the leading causes of death worldwide, second only to cardiovascular diseases. Standard cancer treatments, such as chemotherapy, radiation, and surgery, are effective for primary tumors but often fail to eliminate disseminated tumor cells responsible for metastasis. This limitation underscores the necessity for advanced therapeutic strategies, leading to the rise of immunotherapy, which leverages the immune system to combat cancer. Despite its promise, immunotherapy faces challenges, including variable patient responses and immune-related toxicities, complicating the prediction of treatment efficacy. Here, artificial intelligence (AI) emerges as a vital tool that can enhance the precision and effectiveness of immunotherapy by analyzing the intricate tumor microenvironment (TME). This paper explores the limitations of current immunotherapies and examines how AI can address these challenges. It discusses the TME’s role in shaping immune responses, highlighting how understanding its complexities can improve predictive power and treatment outcomes. Furthermore, we address the limitations of AI in cancer research and propose future directions for its integration into clinical practice, with the potential to revolutionize personalized cancer therapy and improve overall patient care.

Exploring Cistanche's therapeutic potential and molecular mechanisms in asthma treatment

Asthma, a prevalent chronic respiratory disease, is characterized by airway inflammation and hyperresponsiveness, significantly impacting global health. Current treatments, including corticosteroids, face limitations due to variable patient responses and side effects. This study explores the therapeutic potential of Cistanche, a traditional Chinese medicinal herb, in an asthmatic mouse model induced by house dust mites (HDM). We employed a multidisciplinary approach, including transcriptomics, mass spectrometry, Weighted Gene Co-expression Network Analysis (WGCNA), and experimental validation in animal and cellular models. Our findings demonstrate that Cistanche significantly attenuates airway hyperresponsiveness, cellular infiltration, and mucus hypersecretion in asthmatic mice. Transcriptomic analysis identified 643 differentially expressed genes (DEGs), with Cistanche treatment disrupting pathways associated with IL-4, IL-5, and eosinophils. Gene Set Enrichment Analysis (GSEA) revealed Cistanche's involvement in glucocorticoid processes, suggesting its potential as an alternative or complementary therapy to conventional glucocorticoids. Liquid Chromatography-High Resolution Mass Spectrometry (LCHRMS) analysis identified Pinoresinol 4-O-Beta-D-Glucopyranoside (PG) as a key active component of Cistanche, with targets predominantly associated with the PI3K-AKT pathway. WGCNA analysis of an asthma dataset identified the "skyblue" module as highly associated with asthma, with inducible nitric oxide synthase (iNOS) emerging as a core gene. Molecular docking confirmed a strong binding affinity between PG and iNOS, with Cistanche treatment down-regulating iNOS expression, suggesting a potential mechanism for its anti-inflammatory effects. In conclusion, Cistanche exhibits therapeutic effects in asthma by modulating immune responses and targeting key asthma-related genes and proteins. Our study provides novel insights into the treatment of asthma with natural products and highlights the potential of Cistanche as an alternative or complementary therapeutic agent. Further research is warranted to validate these findings and explore the integration of Cistanche into clinical asthma management.

EPID-11. RATES OF CRANIOTOMIES FOR BRAIN METASTASES AFTER INTRODUCTION OF IMMUNOTHERAPY

Abstract Immunotherapy has revolutionized the treatment paradigm for patients with brain metastases and has been found to prolong overall survival. We sought to determine whether rates of craniotomies for the treatment of brain metastases has decreased since the introduction of immunotherapy into routine treatment regimens. Pathology records were queried at our institution from 2011-2022 to include all patients surgically treated for brain metastases. A total of 885 samples from 789 unique patients were analyzed. National data was queried from the NSQIP database from 2011-2022 to include patients surgically treated for brain metastases with a total of 14,494 cases. A Craniotomy for Metastases Index (CMI) was generated to reflect the total number of craniotomies performed over time. The most common institutional primary cancers were lung (46.1%), breast (17.4%), and gastrointestinal (10.1%), with the most common lung cancers being adenocarcinoma (57.11%) and non-small cell carcinoma (11.52%). The institutional CMI demonstrated a non-significant decrease in the number of craniotomies (R2=0.0545, p=0.46) across all time ranges, as well as no significant change in CMI when comparing rates from 2011-2016 and 2017-2022 (p=0.37). The national CMI demonstrated a significantly positive slope of 0.03 (R2=0.544, p=0.006), as well as a significant increase (p=0.005) in craniotomies when comparing rates from 2011-2016 and 2017-2022. Despite the growing use and efficacy of immunotherapy in the treatment of brain metastases and increasing overall survival, the rates of craniotomies had no change institutionally and increased nationally. Several reasons for these findings may include: longer overall survival of patients with systemic cancer can lead to the development of metastatic brain tumors later in their disease course, improvement of surgical techniques making resection safer, and variable response of patients to stereotactic radiosurgery (SRS). Further studies should be conducted to determine the effect of SRS on these findings. Surgical resection remains the mainstay in the treatment of brain metastases.

In vivo functional profiling and structural characterisation of the human Glp1r A316T variant.

Glucagon-like peptide-1 receptor (GLP-1R) agonists (GLP-1RAs) are a highly effective therapy class for type 2 diabetes (T2D) and obesity, yet there are variable patient responses. Variation in the human Glp1r gene leading to altered receptor structure, signal transduction, and function might be directly linked to variable therapeutic responses in patients. A naturally occurring, low-frequency, gain-of-function missense variant, rs10305492 G>A (A316T), protects against T2D and cardiovascular disease. Here we employ CRISPR/Cas9 technology to generate a humanised knock-in mouse model bearing the homozygous Glp1r A316T substitution. Human Glp1r A316T/A316T mice displayed lower fasting blood glucose levels and improved glucose tolerance, as well as increased plasma insulin levels and improved insulin secretion compared to human Glp1r +/+ littermates, even under metabolic stress. They also exhibited alterations in islet cytoarchitecture and β-cell identity under a high-fat, high-sucrose (HFHS) diet. This was however associated with blunted responses to pharmacological GLP-1RAs in vivo . Further investigations in several rodent and human β-cell models demonstrated that the human Glp1r A316T variant exhibits characteristics of constitutive activation but dampened GLP-1RA responses. Our results are further supported by the cryo-EM analysis and molecular dynamics (MD) simulations of the GLP-1R A316T structure, collectively demonstrating that the A316T Glp1r variant governs basal receptor activity and pharmacological responses to GLP-1R-targeting anti-diabetic therapies, highlighting the importance of the molecular characterisation of human Glp1r variants to predict individual therapy responses.

Advances in nanomaterials for precision drug delivery: Insights into pharmacokinetics and toxicity

By integrating the cutting-edge principles of nanotechnology with medical science, nanomedicine offers unprecedented opportunities to develop advanced drug delivery systems that surpass the limitations of conventional therapies. These nanoscale systems are designed to enhance treatments' efficacy, specificity, and safety by optimizing pharmacokinetics and biodistribution, ensuring that therapeutic agents reach their intended targets with minimal side effects. The article provides an in-depth analysis of nanomaterials' pivotal role in overcoming challenges related to drug delivery, including the ability to bypass biological barriers, improve bioavailability, and achieve controlled release of drugs. Despite these promising advancements, the transition of nanomedicine from research to clinical practice faces significant hurdles. The review highlights key obstacles such as patient heterogeneity, physiological variability, and the complex ADME (Absorption, Distribution, Metabolism, Excretion) profiles of nanocarriers, which complicate treatment predictability and effectiveness. Moreover, the article addresses the issues of limited tissue penetration, variable patient responses, and the need for standardized protocols in nanomaterial characterization, all of which hinder the widespread clinical adoption of nanomedicine. Nevertheless, the potential of nanomedicine in revolutionizing personalized cancer therapy remains immense. The article advocates for increased translational research and international collaboration to overcome these challenges, paving the way for fully realizing nanomedicine's capabilities in precision oncology and beyond.

Robotic Visible-Light Optical Coherence Tomography Visualizes Segmental Schlemm's Canal Anatomy and Segmental Pilocarpine Response.

To use robotic visible-light OCT (vis-OCT) to study circumferential segmental Schlemm's canal (SC) anatomy in mice after topical pilocarpine administration. Anterior segment imaging was performed using a vis-OCT sample arm attached to a 6-degree-of-freedom robotic arm to maintain normal (perpendicular) laser illumination aimed at SC around the limbus. Sixteen mice were studied for repeatability testing and to study aqueous humor outflow (AHO) pathway response to topical drug. Pharmaceutical-grade pilocarpine (1%; n = 5) or control artificial tears (n = 9) were given, and vis-OCT imaging was performed before and 15 minutes after drug application. After SC segmentation, SC areas and volumes were measured circumferentially in control- and drug-treated eyes. Circumferential vis-OCT provided high-resolution imaging of the anterior segment and AHO pathways, including SC. Segmental SC anatomy was visualized with the average cross-sectional area greatest temporal (3971 ± 328 μm2) and the least nasal (2727 ± 218 μm2; p = 0.018). After pilocarpine administration, the iris became flatter, and SC became larger (pilocarpine: 26.8 ± 5.0% vs. control: 8.9 ± 4.6% volume increase; p = 0.030). However, the pilocarpine alteration was segmental as well, with a greater increase observed superior (pilocarpine: 31.6 ± 8.9% vs. control: 1.8 ± 5.7% volume increase; p = 0.023) and nasal (pilocarpine: 41.1 ± 15.3% vs. control: 13.9 ± 4.5% volume increase; p = 0.045). High-resolution circumferential non-invasive imaging using AS-OCT of AHO pathways is possible in living animals with robotic control. Segmental SC anatomy was seen at baseline and was consistent with the known segmental nature of trabecular AHO. Segmental SC anatomical response to a muscarinic agonist was seen as well. Segmental glaucoma drug response around the circumference of AHO pathways is a novel observation that may explain the variable patient response to glaucoma treatments.

Trends in Injectable Biomaterials for Vocal Fold Regeneration and Long-Term Augmentation.

Human vocal folds (VF), a pair of small, soft tissues in the larynx, have a layered mucosal structure with unique mechanical strength to support high-level tissue deformation by phonation. Severe pathological changes to VF have causes including surgery, trauma, age-related atrophy, and radiation, and lead to partial or complete communication loss and difficulty in breathing and swallowing. VF glottal insufficiency requires injectable VF biomaterials such as hyaluronan, calcium hydroxyapatite, and autologous fat to augment VF functions. Although these biomaterials provide an effective short-term solution, significant variations in patient response and requirements of repeat reinjection remain notable challenges in clinical practice. Tissue engineering strategies have been actively explored in the search of an injectable biomaterial that possesses the capacity to match native tissue's material properties while promoting permanent tissue regeneration. This review aims to assess the current status of biomaterial development in VF tissue engineering. The focus will be on examining state-of-the-art techniques including modification with bioactive molecules, cell encapsulation, composite materials, as well as, in situ crosslinking with click chemistry. We will discuss potential opportunities that can further leverage these engineering techniques in the advancement of VF injectable biomaterials.

Advances and Challenges in Gene Therapy for Inherited Retinal Dystrophies: A Comprehensive Review.

Inherited retinal dystrophies (IRDs) are a diverse group of genetic disorders leading to progressive vision loss due to the degeneration of retinal photoreceptors. Gene therapy has emerged as a promising approach to address the underlying genetic causes of IRDs, offering the potential for restoring vision and halting disease progression. This review provides a comprehensive overview of gene therapy innovations for IRDs, focusing on the mechanisms, recent advancements, and ongoing challenges. We discuss the fundamental principles of gene therapy, including the use of viral and non-viral vectors, and highlight key developments such as the approval of Luxturna for RPE65-mediated retinal dystrophy and the application of gene editing technologies like CRISPR/Cas9. Despite these advancements, significant challenges remain, including vector delivery, long-term safety, and variable patient responses. This review also explores the future directions of gene therapy, emphasizing the need for further research to address these challenges and enhance therapeutic efficacy. By examining the current state of gene therapy for IRDs, this review aims to provide valuable insights into the potential for these treatments to transform the management of retinal diseases and improve the quality of life for affected individuals.

Lung Tensioning Device Coil Treatment in Patients with Severe Emphysema: A Prospective Safety and Feasibility Trial (EFFORT)

Introduction: Currently, there is a lack of bronchoscopic lung volume reduction options that do not depend on fissure integrity. Endobronchial coils have been extensively studied to address this need but exhibited variable patient response and have been discontinued. Lung tension device (LTD) coils represent the next-generation coil treatment. This study aimed to evaluate safety, feasibility, and efficacy of LTD-coil treatment. Methods: Patients with advanced emphysema and hyperinflation were enrolled at two European sites. LTD-coils (Free Flow Medical, Fremont, CA, USA) were implanted in the two most destructed lobes, as determined by quantitative CT analysis, in two separate procedures. The primary endpoint was 3-month follow-up after the last treatment. Results: Fourteen patients (50% male, median age 64 years, FEV1 23%predicted, RV 249%predicted) received LTD-coil treatment: 12 received bilateral and 2 unilateral treatment. Six serious respiratory adverse events occurred within the initial 3 months posttreatment, including one device-associated death. Treatment significantly reduced in- and expiratory volume of the treated lobes (−410 [−710, −340], p = 0.004 and −650 [−730, −190] mL, p < 0.001, respectively) and improved quality of life (SGRQ total score −4.6 [−21.0, −2.6], p < 0.001). However, at a group level, no significant improvements in pulmonary function or 6-min walk distance were observed. Responder rates ranged from 18% to 54% for the different endpoints. Conclusion: This first-in-human study shows that the new LTD-coil procedure is feasible with a safety profile comparable to the previous coil treatment. While the treatment effectively reduced lobar volume and modestly improved quality of life up to 3 months’ follow-up, at a group level it did not significantly enhance pulmonary function or exercise capacity.

Addressing the Ethnicity Gap in Catechol O-Methyl Transferase Inhibitor Trials in Parkinson's Disease: A Review of Available Global Data.

Catechol-O-methyltransferase inhibitors (COMT-Is) have significantly improved the quality of life and symptom management for those at advanced stages of Parkinson's Disease (PD). Given that PD is one of the fastest-growing neurodegenerative diseases worldwide, there is a need to establish a clear framework for the systematic distribution of COMT-Is, considering inter-individual and intra-individual variations in patient response. One major barrier to this is the underrepresentation of ethnic minority participants in clinical trials investigating COMT-Is. To investigate this, we performed a narrative review. We searched PubMed for clinical trials investigating COMT-Is in patients with PD and examined the ethnic diversity of cohorts. A total of 63 articles were identified, with 34 trials found to match our inclusion criteria. Among the 34 trials meeting our inclusion criteria, only 8 reported participants' ethnic backgrounds. Our findings reveal a consistent underrepresentation of ethnic minority groups in trials investigating COMT-Is in PD cohorts-a trend that reflects broader concerns across clinical research. In this review, we explore potential reasons for the underrepresentation of ethnic minorities in clinical trials and propose strategies to address this issue.

A tailored machine learning approach for mortality prediction in severe COVID-19 treated with glucocorticoids.

<sec><title>BACKGROUND</title>The impact of severe COVID-19 pneumonia on healthcare systems highlighted the need for accurate predictions to improve patient outcomes. Despite the established efficacy of glucocorticoids (GCs), variable patient responses are observed, and the existing clinical scores are limited in predicting non-responders. We propose a machine learning (ML) based approach to predict mortality in COVID-19 pneumonia treated with GCs.</sec><sec><title>METHODS</title>This is an ML-driven retrospective analysis involving 825 patients. We leveraged XGBoost to select the most appropriate features from the initial 52, including clinical and laboratory data. Six different ML techniques were compared. Shapley additive explanation (SHAP) values were used to describe the influence of each feature on classification. Internal validation was performed.</sec><sec><title>RESULTS</title>Nine key predictors of death were identified: increasing C-reactive protein (CRP), decreasing arterial partial pressure of oxygen to fraction of inspired oxygen ratio (PaO₂/FiO₂), age, coronary artery disease, invasive mechanical ventilation, acute renal failure, chronic heart failure, PaO₂/FiO₂ earliest value, and body mass index. Random forest achieved the highest test area under the receiver operating characteristic curve at 0.938 (95% CI 0.903-0.969). SHAP values highlighted age and PaO₂/FiO₂ improvement as the most influential features; the latter showed a higher impact than CRP reduction over time.</sec><sec><title>CONCLUSION</title>The proposed ML algorithm effectively predicts the risk of hospital death in COVID-19 pneumonia patients undergoing GCs. This approach can be adapted to datasets measuring similar clinical variables.</sec>.

Harnessing AI in depression therapy: Integrating technology with traditional approaches

Depression is a pervasive mental health disorder affecting millions worldwide, with traditional therapeutic approaches such as medication and psychotherapy serving as the primary modes of treatment. However, the limitations of these methods, including variable patient responses and challenges in accessibility, have driven the exploration of innovative solutions. This paper investigates the integration of Artificial Intelligence (AI) into traditional therapies, proposing a hybrid approach to enhance the efficacy of depression treatment. AI technologies, including chatbots, predictive analytics, and personalized virtual therapy, offer significant potential to complement existing treatments by providing continuous support, tailoring interventions to individual needs, and improving patient adherence. Through a review of current literature, this paper discusses the applications, benefits, and ethical considerations of AI in mental health, highlighting its transformative role in augmenting traditional therapeutic practices.

Enhancing patient informed consent in elective skin cancer surgeries: a comparative study of traditional and digital approaches in a German public hospital

BackgroundThis study aims to investigate the integration of modern sources of patient information, such as videos, internet-based resources, and scientific abstracts, into the traditional patient informed consent process in outpatient elective surgeries. The goal is to optimize the informed consent experience, enhance patient satisfaction, and promote shared decision making (SDM) between patients and surgeons. By exploring different patient informed consent formats and their impact on patient satisfaction, this research seeks to improve healthcare practices and ultimately enhance patient outcomes. The findings of this study will contribute to the ongoing efforts to improve the informed consent process in public hospitals and advance patient-centred care.MethodsData collection occurred at the day care clinic of a prominent German public hospital, forming an integral component of a prospective clinical investigation. The study exclusively focused on individuals who had undergone surgical intervention for skin cancer. For the purpose of meticulous data examination, the statistical software SPSS version 21 was harnessed. In the course of this study, a chi-square test was aptly employed. Its purpose was to scrutinize the nuances in patient experiences pertaining to informed consent across four distinct categories, viz., oral informed consent discussion (Oral ICD), written informed consent discussion (Written ICD), video-assisted informed consent discussion (video-assisted ICD), and digitally assisted informed consent discussion (digital-assisted ICD). The primary dataset of this inquiry was diligently gathered via a structured questionnaire administered to a targeted cohort of 160 patients. Within this sample, a balanced representation of genders was observed, encompassing 82 males and 78 females. Their collective age span ranged from 18 to 92 years, with an average age of 71 years. A randomized selection methodology was employed to include participants in this study during the period spanning from July 2017 to August 2018.ResultsSignificant differences were observed across the groups for all research questions, highlighting variations in patient responses. Video-assisted and digital-assisted IC were rated as superior in patient satisfaction with information compared to written and oral IC. Demographic profiles of the four study groups were found to be comparable.ConclusionThe findings of this study indicate that the incorporation of digital technologies in the informed consent process can enhance patient understanding during outpatient elective skin cancer surgeries. These results have important implications for increasing patient satisfaction and improving the SDM process within the hospital environment.

Sound waves and solutions: Point-of-care ultrasonography for acute kidney injury in cirrhosis

This article delves into the intricate challenges of acute kidney injury (AKI) in cirrhosis, a condition fraught with high morbidity and mortality. The complexities arise from distinguishing between various causes of AKI, particularly hemodynamic AKI, in cirrhotic patients, who experience hemodynamic changes due to portal hypertension. The term "hepatocardiorenal syndrome" is introduced to encapsulate the intricate interplay among the liver, heart, and kidneys. The narrative emphasizes the often-overlooked aspect of cardiac function in AKI assessments in cirrhosis, unveiling the prevalence of cirrhotic cardiomyopathy marked by impaired diastolic function. The conventional empiric approach involving volume expansion and vasopressors for hepatorenal syndrome is critically analyzed, highlighting potential risks and variable patient responses. We advocate for a nuanced algorithm for AKI evaluation in cirrhosis, prominently featuring point-of-care ultrasonography (POCUS). POCUS applications encompass assessing fluid tolerance, detecting venous congestion, and evaluating cardiac function.

Delivering biochemicals with precision using bioelectronic devices enhanced with feedback control.

Precision medicine endeavors to personalize treatments, considering individual variations in patient responses based on factors like genetic mutations, age, and diet. Integrating this approach dynamically, bioelectronics equipped with real-time sensing and intelligent actuation present a promising avenue. Devices such as ion pumps hold potential for precise therapeutic drug delivery, a pivotal aspect of effective precision medicine. However, implementing bioelectronic devices in precision medicine encounters formidable challenges. Variability in device performance due to fabrication inconsistencies and operational limitations, including voltage saturation, presents significant hurdles. To address this, closed-loop control with adaptive capabilities and explicit handling of saturation becomes imperative. Our research introduces an enhanced sliding mode controller capable of managing saturation, adept at satisfactory control actions amidst model uncertainties. To evaluate the controller's effectiveness, we conducted in silico experiments using an extended mathematical model of the proton pump. Subsequently, we compared the performance of our developed controller with classical Proportional Integral Derivative (PID) and machine learning (ML)-based controllers. Furthermore, in vitro experiments assessed the controller's efficacy using various reference signals for controlled Fluoxetine delivery. These experiments showcased consistent performance across diverse input signals, maintaining the current value near the reference with a relative error of less than 7% in all trials. Our findings underscore the potential of the developed controller to address challenges in bioelectronic device implementation, offering reliable precision in drug delivery strategies within the realm of precision medicine.

Recent updates in the therapeutic uses of Pembrolizumab: a brief narrative review.

Treatment of cancer has been improved with the discovery of biological drugs that act as immune checkpoint inhibitors. In 2017, FDA designated pembrolizumab, an immune checkpoint inhibitor employed in immunotherapy, as the first tissue-agnostic cancer treatment. To review pembrolizumab's use in oncology, gather and examine the latest discoveries regarding the effectiveness of pembrolizumab in cancer treatment. A literature review was conducted through PubMed(Medline) from January 2015 to December 2023 using "pembrolizumab", "cancer" and "treatment" as search terms. Pembrolizumab demonstrated effectiveness as primary treatment for metastatic nonsmall cell lung cancer, unresectable esophageal cancer, head and neck squamous cell carcinoma and alternative treatment for notable triple-negative breast cancer, biliary, colorectal, endometrial, renal cell, cervical carcinoma, and high microsatellite instability or mismatch repair deficiencies tumors. Pediatric applications include treatment for refractory Hodgkin lymphoma. Evolving research on pembrolizumab allows a deeper clinical understanding, despite challenges as variable patient responses. Pembrolizumab has emerged as a pivotal breakthrough in cancer treatment, improving patient outcomes and safety.

Combination of Anti-Angiogenics and Immunotherapies in Renal Cell Carcinoma Show Their Limits: Targeting Fibrosis to Break through the Glass Ceiling?

This review explores treating metastatic clear cell renal cell carcinoma (ccRCC) through current therapeutic modalities-anti-angiogenic therapies and immunotherapies. While these approaches represent the forefront, their limitations and variable patient responses highlight the need to comprehend underlying resistance mechanisms. We specifically investigate the role of fibrosis, prevalent in chronic kidney disease, influencing tumour growth and treatment resistance. Our focus extends to unravelling the intricate interplay between fibrosis, immunotherapy resistance, and the tumour microenvironment for effective therapy development. The analysis centres on connective tissue growth factor (CTGF), revealing its multifaceted role in ccRCC-promoting fibrosis, angiogenesis, and cancer progression. We discuss the potential of targeting CTGF to address the problem of fibrosis in ccRCC. Emphasising the crucial relationship between fibrosis and the immune system in ccRCC, we propose that targeting CTGF holds promise for overcoming obstacles to cancer treatment. However, we recognise that an in-depth understanding of the mechanisms and potential limitations is imperative and, therefore, advocate for further research. This is an essential prerequisite for the successful integration of CTGF-targeted therapies into the clinical landscape.

SMART use of medications for the treatment of adolescent severe obesity: A sequential multiple assignment randomized trial protocol

BackgroundSevere obesity is a complex, chronic disease affecting nearly 9% of adolescents in the U.S. Although the current mainstay of treatment is lifestyle therapy, pediatric clinical practice guidelines recommend the addition of adjunct anti-obesity medication (AOM), such as phentermine and topiramate. However, guidance regarding when adjunct AOM should be started and how AOM should be used is unclear. Furthermore, an inherent limitation of current treatment guidelines is their “one-size-fits-all” approach, which does not account for the heterogeneous nature of obesity and high degree of patient variability in response to all interventions. MethodsThis paper describes the study design and methods of a sequential multiple assignment randomized trial (SMART), “SMART Use of Medications for the Treatment of Adolescent Severe Obesity.” The trial will examine 1) when to start AOM (specifically phentermine) in adolescents who are not responding to lifestyle therapy and 2) how to modify AOM when there is a sub-optimal response to the initial pharmacological intervention (specifically, for phentermine non-responders, is it better to add topiramate to phentermine or switch to topiramate monotherapy). Critically, participant characteristics that may differentially affect response to treatment will be assessed and evaluated as potential moderators of intervention efficacy. ConclusionData from this study will be used to inform the development of an adaptive intervention for the treatment of adolescent severe obesity that includes empirically-derived decision rules regarding when and how to use AOM. Future research will test this adaptive intervention against standard “one-size-fits-all” treatments.

β-glucan: a potent adjuvant in immunotherapy for digestive tract tumors.

The immunotherapy for gastrointestinal tumors, as a significant research direction in the field of oncology treatment in recent years, has garnered extensive attention due to its potential therapeutic efficacy and promising clinical application prospects. Recent advances in immunotherapy notwithstanding, challenges persist, such as side effects, the complexity of the tumor immune microenvironment, variable patient responses, and drug resistance. Consequently, there is a pressing need to explore novel adjunctive therapeutic modalities. β-glucan, an immunomodulatory agent, has exhibited promising anti-tumor efficacy in preclinical studies involving colorectal cancer, pancreatic cancer, and gastric cancer, while also mitigating the adverse reactions associated with chemotherapy and enhancing patients' quality of life. However, further clinical and fundamental research is warranted to comprehensively evaluate its therapeutic potential and underlying biological mechanisms. In the future, β-glucan holds promise as an adjunctive treatment for gastrointestinal tumors, potentially bringing significant benefits to patients.