Deep Learning Model for Predicting Immunotherapy Response in Advanced Non-Small Cell Lung Cancer.

Importance: Only a small fraction of patients with advanced non-small cell lung cancer (NSCLC) respond to immune checkpoint inhibitor (ICI) treatment. For optimal personalized NSCLC care, it is imperative to identify patients who are most likely to benefit from immunotherapy.

Objective: To develop a supervised deep learning-based ICI response prediction method; evaluate its performance alongside other known predictive biomarkers; and assess its association with clinical outcomes in patients with advanced NSCLC.

Synergistic Ultrasound-Activable Artificial Enzyme and Precision Gene Therapy to Suppress Redox Homeostasis and Malignant Phenotypes for Controllably Combating Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) remains one of the most lethal malignant tumors. Multimodal therapeutics with synergistic effects for treating HCC have attracted increasing attention, for instance, designing biocompatible porphyrin-based nanomedicines for enzyme-mimetic and ultrasound (US)-activable reactive oxygen species (ROS) generation. Despite the promise, the landscape of such advancements remains sparse.

Our Experience about Shared Venous Hemodynamics Map (SVHM): A Least Common Denominator for Computerized Comparison of the Results of Chronic Venous Disease (CVD) Treatment.

Aim: Varicose veins, while frequently perceived as a cosmetic concern, should be evaluated within the broader context of chronic venous insufficiency (CVI) affecting the lower extremities. The Mappa Emodinamica Venosa Condivisa, Italian for Shared Venous Hemodynamics Map (MEVeC) project aims to provide an objective method for assessing the hemodynamic disorders underlying CVI and standardizing the evaluation of therapeutic interventions for lower extremity CVI. To achieve objective treatment assessment, it is essential to ensure uniform expertise among phlebologists and the ability to replicate comparable clinical outcomes.

Different association of HDLC, apoA-I, and HDL-C/apoA-I with multiple outcomes in HFrEF patients.

Background: High-density lipoprotein-cholesterol (HDLC) has been considered a cardioprotective factor for several decades. However, its association with outcomes in patients with heart failure with reduced ejection fraction (HFrEF) remains controversial. We aimed to investigate the association of HDLC, apolipoprotein A-I (apoA-I), and the HDL-C/apoA-I ratio with multiple outcomes of HFrEF patients and establish prognostic models using machine learning methods.

Unbiased Drug Target Prediction Reveals Sensitivity to Ferroptosis Inducers, HDAC and RTK Inhibitors in Melanoma Subtypes.

Background: The utilization of PD1 and CTLA4 inhibitors has revolutionized the treatment of malignant melanoma (MM). However, resistance to targeted and immune-checkpoint-based therapies still poses a significant problem.

Objective: Here, we mine large-scale MM proteogenomic data to identify druggable targets and forecast treatment efficacy and resistance.

Use of extracorporeal blood purification therapies in sepsis: the current paradigm, available evidence, and future perspectives.

Background: Sepsis is the result of a dysregulated immune response to infection and is associated with acute organ dysfunction. The syndrome's complexity is contingent upon the underlying pathology and individual patient characteristics, including their immune response. The involvement of multiple organs and physiological functions adds complexity, with "organ cross-talk" emerging as a pivotal pathophysiological and clinical aspect.

Ultrasonographic Measurement of Common Carotid Artery Wall Pulse Dynamics and Longitudinal Motion - Method Validation and a Novel Parameter Ratio.

Objectives: The enormous burden that cardiovascular diseases put on individuals and societies warrants reliable biomarkers of disease risk to optimize disease prevention. We studied longitudinal movement (LMov) in arterial walls using ultrasound of the common carotid artery (CCA). We believe that LMov could be a sensitive biomarker of cardiovascular health and in this study, we evaluate the intra-observer repeatability and inter-observer precision of our method.

Cancer vaccines: an update on recent achievements and prospects for cancer therapy.

Decades of basic and translational research have led to a momentum shift in dissecting the relationship between immune cells and cancer. This culminated in the emergence of breakthrough immunotherapies that paved the way for oncologists to manage certain hard-to-treat cancers. The application of high-throughput techniques of genomics, transcriptomics, and proteomics was conclusive in making and expediting the manufacturing process of cancer vaccines.

Gut microbiota dysbiosis promotes cognitive impairment via bile acid metabolism in major depressive disorder.

Evidence suggests that complex interactions among the gut microbiome, metabolic abnormalities, and brain have important etiological and therapeutic implications in major depressive disorder (MDD). However, the influence of microbiome-gut-brain cross-talk on cognitive impairment in MDD remains poorly characterized. We performed serum metabolomic profiling on 104 patients with MDD and 77 healthy controls (HCs), and also performed fecal metagenomic sequencing on a subset of these individuals, including 79 MDD patients and 60 HCs.

Serum Uric Acid/Serum Creatinine Ratio and Chronic Vascular Lesions on Renal Biopsy: A Retrospective Observational Study.

Introduction: Increased serum uric acid (SUA) levels are found in cardiovascular and kidney diseases, associated with the development of vascular injury. Uric acid stimulates the inflammatory pathways, promotes vascular smooth muscle cells proliferation, activates renin-angiotensin system leading to the development and progression of vascular damage. Renal function-normalized uric acid [SUA to serum creatinine ratio (SUA/SCr)] has been suggested to be a better indicator of uric acid.

Human pluripotent stem cell (hPSC)-derived models for autism spectrum disorder drug discovery.

Introduction: Autism spectrum disorder (ASD) is a prevalent and complex neurodevelopmental disorder (NDD) with genetic and environmental origins. Currently, there are no effective pharmacological treatments targeting core ASD features. This leads to unmet medical needs of individuals with ASD and requires relevant human disease models recapitulating genetic and clinical heterogeneity to better understand underlying mechanisms and identify potential pharmacological therapies.

Multidimensional Proteomic Landscape Reveals Distinct Activated Pathways Between Human Brain Tumors.

Brain metastases (BrMs) and gliomas are two typical human brain tumors with high incidence of mortalities and distinct clinical challenges, yet the understanding of these two types of tumors remains incomplete. Here, a multidimensional proteomic landscape of BrMs and gliomas to infer tumor-specific molecular pathophysiology at both tissue and plasma levels is presented. Tissue sample analysis reveals both shared and distinct characteristics of brain tumors, highlighting significant disparities between BrMs and gliomas with differentially activated upstream pathways of the PI3K-Akt signaling pathway that have been scarcely discussed previously.

Attenuated sex-related DNA methylation differences in cancer highlight the magnitude bias mediating existing disparities.

Background: DNA methylation (DNAm) influences both sex differences and cancer development, yet the mechanisms connecting these factors remain unclear.

Methods: Utilizing data from The Cancer Genome Atlas, we conducted a comprehensive analysis of sex-related DNAm effects in nine non-reproductive cancers, compared to paired normal adjacent tissues (NATs), and validated the results using independent datasets. First, we assessed the extent of sex differential DNAm between cancers and NATs to explore how sex-related DNAm differences change in cancerous tissues.

An Artificial Intelligence-driven Revolution in Orthopedic Surgery and Sports Medicine.

With the advancement of population aging, the incidence of orthopedic diseases increases annually. The early diagnosis and precise treatment of many orthopedic diseases still require advancements in technology to address effectively. With the rapid development of artificial intelligence (AI), this technology is expected to achieve early diagnosis and improved treatment of many diseases, providing revolutionary changes in clinical.

A prospective study comparing highly qualified Molecular Tumor Boards with AI-powered software as a medical device.

Background: The implementation of cancer precision medicine in Japan is deeply intertwined with insurance reimbursement policies and requires case-by-case reviews by Molecular Tumor Boards (MTBs), which impose considerable operational burdens on healthcare facilities. The extensive preparation and review times required by MTBs hinder their ability to efficiently assess comprehensive genomic profiling (CGP) test results. Despite attempts to optimize MTB operations, significant challenges remain.

Innovative utilization of cell membrane-coated nanoparticles in precision cancer therapy.

Cell membrane-coated nanoparticles (CMNPs) have recently emerged as a promising platform for cancer therapy. By encapsulating therapeutic agents within a cell membrane-derived coating, these nanoparticles combine the advantages of synthetic nanoparticles and natural cell membranes. This review provides a comprehensive overview of the recent advancements in utilizing CMNPs as effective drug delivery vehicles for cancer therapy.

Progress and Gaps in Respiratory Disease Research and Treatment: Highlights of the IRM 2024 in Shanghai.

Respiratory diseases pose a major public health challenge globally, necessitating collaborative efforts between basic researchers and clinicians for effective solutions. China, which is heavily impacted by a broad spectrum of respiratory disorders, has made notable strides in both research and clinical management of these diseases. The International Respiratory Medicine (IRM) meeting was organized with the primary goal of facilitating the exchange of recent research developments and promoting collaboration between Chinese and American scientists in both basic and clinical research fields.

Advances and prospects of precision nanomedicine in personalized tumor theranostics.

Tumor, as the second leading cause of death globally, following closely behind cardiovascular diseases, remains a significant health challenge worldwide. Despite the existence of various cancer treatment methods, their efficacy is still suboptimal, necessitating the development of safer and more efficient treatment strategies. Additionally, the advancement of personalized therapy offers further possibilities in cancer treatment.

Pupil dilation and behavior as complementary measures of fear response in Mice.

The precise assessment of emotional states in animals under the combined influence of multiple stimuli remains a challenge in neuroscience research. In this study, multi-dimensional assessments, including high-precision pupil tracking and behavioral analysis, were conducted to investigate the combined effects of fear stimuli and drug manipulation on emotional responses in mice. Mice exposed to foot shocks showed typical freezing and flight behaviors, but neither of these measures could effectively distinguish between dexmedetomidine, isoflurane, and saline groups.

Extra X, extra questions: Trisomy X syndrome and IgA deficiency - a case report.

While Trisomy X syndrome is typically characterized by developmental and cognitive variations, it is not commonly associated with immunodeficiencies. We report the unique case of a 6-year-old girl with Trisomy X presenting with selective IgA deficiency, challenging the conventional understanding of this chromosomal condition. The patient exhibited recurrent respiratory infections and gastrointestinal symptoms, evaluated in the context of her genetic background of Trisomy X and significantly low levels of IgA (0.

Current state and future prospects of spatial biology in colorectal cancer.

Over the past century, colorectal cancer (CRC) has become one of the most devastating cancers impacting the human population. To gain a deeper understanding of the molecular mechanisms driving this solid tumor, researchers have increasingly turned their attention to the tumor microenvironment (TME). Spatial transcriptomics and proteomics have emerged as a particularly powerful technology for deciphering the complexity of CRC tumors, given that the TME and its spatial organization are critical determinants of disease progression and treatment response.

Prevalence of gene mutation and its expression in Brazilian pediatric B-ALL patients: clinical implications.

Introduction: There is consistent evidence that may be a driver gene in B-ALL and that selected cases may benefit from the use of FLT3 inhibitors. Our study was conducted to evaluate the frequency and types of FLT3 mutations in pediatric patients with B-ALL, the relative expression of this gene, and their influence on clinical evolution.

Methods: We evaluated 156 children with B-ALL treated between July 2018 and September 2023.

Precision in Parsing: Evaluation of an Open-Source Named Entity Recognizer (NER) in Veterinary Oncology.

Integrating Artificial Intelligence (AI) through Natural Language Processing (NLP) can improve veterinary medical oncology clinical record analytics. Named Entity Recognition (NER), a critical component of NLP, can facilitate efficient data extraction and automated labelling for research and clinical decision-making. This study assesses the efficacy of the Bio-Epidemiology-NER (BioEN), an open-source NER developed using human epidemiological and medical data, on veterinary medical oncology records.