Glecirasib in KRAS-mutated nonsmall-cell lung cancer: a phase 2b trial.

Glecirasib (JAB-21822) is a new covalent oral KRAS-G12C inhibitor. This multicenter, single-arm phase 2b study assessed the efficacy and safety of glecirasib administered orally at 800 mg daily in patients with locally advanced or metastatic KRAS-mutated nonsmall-cell lung cancer. The primary endpoint was the objective response rate (ORR) assessed by an independent review committee (IRC).

Bioinformatics and assays identified miR-486-5p as a tumor suppressor miRNA in hepatocellular carcinoma.

Background: This study aimed to explore key microRNAs (miRNAs) and their effects on hepatocellular carcinoma (HCC) progression.

Methods: Key deregulated miRNAs in HCC were screened from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The anti-cancer effects of miR-486-5p were validated using a cell counting kit-8 assay, flow cytometry, scratch assay, transwell assay, and an orthotopic transplantation tumor model.

Tumor burden with AFP improves survival prediction for TACE-treated patients with HCC: An international observational study.

Background & Aims: Current prognostic models for patients with hepatocellular carcinoma (HCC) undergoing transarterial chemoembolization (TACE) are not extensively validated and widely accepted. We aimed to develop and validate a continuous model incorporating tumor burden and biology for individual survival prediction and risk stratification.

Methods: Overall, 4,377 treatment-naive candidates for whom TACE was recommended, from 39 centers in five countries, were enrolled and divided into training, internal validation, and two external validation datasets.

Association of sleep duration and sleep disorders with post-stroke depression and all-cause and cardiovascular disease mortality in US stroke survivors: results from NHANES 2005-2018.

Background: Sleep disturbance is a common concern among stroke survivors, yet the association of sleep duration and sleep disorders with post-stroke depression and all-cause and cardiovascular disease (CVD) mortality remains elusive. We aimed to explore these associations using data from the National Health and Nutrition Examination Survey (NHANES).

Methods: Adult stroke survivors from NHANES 2005-2018 were included.

Conference 2024: Building an innovative scientific research ecosystem for microbiome and One Health.

The Conference 2024 provides a platform to promote the development of an innovative scientific research ecosystem for microbiome and One Health. The four key components - Technology, Research (Biology), Academic journals, and Social media - form a synergistic ecosystem. Advanced technologies drive biological research, which generates novel insights that are disseminated through academic journals.

Impaired interhemispheric synchrony in patients with iridocyclitis and classification using machine learning: an fMRI study.

Background: This study examined the interhemispheric integration function pattern in patients with iridocyclitis utilizing the voxel-mirrored homotopic connectivity (VMHC) technique. Additionally, we investigated the ability of VMHC results to distinguish patients with iridocyclitis from healthy controls (HCs), which may contribute to the development of objective biomarkers for early diagnosis and intervention in clinical set.

Methods: Twenty-six patients with iridocyclitis and twenty-six matched HCs, in terms of sex, age, and education level, underwent resting-state functional magnetic resonance imaging (fMRI) examinations.

Recent advances in developing targeted protein degraders.

Targeted protein degradation (TPD) represents a promising therapeutic approach, encompassing several innovative strategies, including but not limited to proteolysis targeting chimeras (PROTACs), molecular glues, hydrophobic tag tethering degraders (HyTTD), and lysosome-targeted chimeras (LYTACs). Central to TPD are small molecule ligands, which play a critical role in mediating the degradation of target proteins. This review summarizes the current landscape of small molecule ligands for TPD molecules.

Multimodal Deep Learning Fusing Clinical and Radiomics Scores for Prediction of Early-Stage Lung Adenocarcinoma Lymph Node Metastasis.

Rationale And Objectives: To develop and validate a multimodal deep learning (DL) model based on computed tomography (CT) images and clinical knowledge to predict lymph node metastasis (LNM) in early lung adenocarcinoma.

Materials And Methods: A total of 724 pathologically confirmed early invasive lung adenocarcinoma patients were retrospectively included from two centers. Clinical and CT semantic features of the patients were collected, and 3D radiomics features were extracted from nonenhanced CT images.

Enhancing Post-Surgical Wound Care in Anorectal Diseases: A Comparative Study of Advanced Convolutional Neural Network (CNN) Architectures for Image Classification and Analysis.

Aim: Anorectal diseases, often requiring surgical intervention and careful post-operative wound management, pose substantial challenges in healthcare. This study presents a novel application of artificial intelligence, specifically machine learning, aimed at improving the classification and analysis of post-surgical wound images. By doing so, it seeks to enhance patient outcomes through personalized and optimized wound care strategies.

The dietary inflammatory index is positively associated with low muscle mass in adults: an analysis of NHANES.

Introduction: Using the data taken from the National Health and Nutrition Examination Survey (NHANES) database, we explored the relationship between the dietary inflammatory index (DII) and low muscle mass (LMM) in adults.

Methods: We examined 20,424 adults ≥ 20 years old from the 1999-2006 and 2011-2018 NHANES. We hypothesized that the DII is positively associated with the risk of LMM in adults.

aPKC/Par3/Par6 polarity complexes regulate podocyte motility and crescent formation in the progression of ANCA-associated vasculitis.

Objectives: Podocyte bridging may be a key initial event occurring early in crescent formation. This study aims to probe the underlying mechanism of atypical protein kinase C (aPKC)/protease-activated receptor 3(Par3)/Par6 polarity complexes on podocyte motility and crescent formation during the progression of antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV).

Methods: The effects of anti-TNF-α monoclonal antibody (mAb) on the crescent formation, localization and expression of aPKC/Par3/Par6 polarity complexes, and activities of small GTPases (Rho/Rac1/Cdc42) were explored in an AAV mouse model.

LINC01089 governs the miR-1287-5p/HSPA4 axis to negatively regulate osteogenic differentiation of mesenchymal stem cells.

Aims: The involvement of long non-coding RNA (lncRNA) in bone marrow mesenchymal stem cell (MSC) osteogenic differentiation during osteoporosis (OP) development has attracted much attention. In this study, we aimed to disclose how LINC01089 functions in human mesenchymal stem cell (hMSC) osteogenic differentiation, and to study the mechanism by which LINC01089 regulates MSC osteogenesis.

Methods: Quantitative reverse transcription polymerase chain reaction (RT-qPCR) and western blotting were performed to analyze LINC01089, miR-1287-5p, and heat shock protein family A (HSP70) member 4 (HSPA4) expression.

Statistical modeling of single-cell epitranscriptomics enabled trajectory and regulatory inference of RNA methylation.

As a fundamental mechanism for gene expression regulation, post-transcriptional RNA methylation plays versatile roles in various biological processes and disease mechanisms. Recent advances in single-cell technology have enabled simultaneous profiling of transcriptome-wide RNA methylation in thousands of cells, holding the promise to provide deeper insights into the dynamics, functions, and regulation of RNA methylation. However, it remains a major challenge to determine how to best analyze single-cell epitranscriptomics data.

Extraction, purification, structural characterization, bioactivities, modifications and structure-activity relationship of polysaccharides from : a review.

(Thunb.) Ker Gawl., is a traditional Chinese medicine (TCM) with a history of thousands of years.

Interpretable deep cross networks unveiled common signatures of dysregulated epitranscriptomes across 12 cancer types.

Cancer is a complex and multifaceted group of diseases characterized by uncontrolled cell growth that leads to the formation of malignant tumors. Recent studies suggest that N6-methyladenosine (mA) RNA methylation plays pivotal roles in cancer pathology by influencing various cellular processes. However, the degree to which these mechanisms are shared across different cancer types remains unclear.

Cervical OCT image classification using contrastive masked autoencoders with Swin Transformer.

Background And Objective: Cervical cancer poses a major health threat to women globally. Optical coherence tomography (OCT) imaging has recently shown promise for non-invasive cervical lesion diagnosis. However, obtaining high-quality labeled cervical OCT images is challenging and time-consuming as they must correspond precisely with pathological results.

Differential diagnosis of gastrointestinal stromal tumors versus leiomyomas by special stains.

The objective of the study was to investigate whether special stains can differentiate gastrointestinal stromal tumors (GISTs) and gastrointestinal leiomyomas (GILs). In this retrospective study, 39 cases of GISTs (diameter, 0.2-8.

Engineering and characterization of Hu3A4: A novel humanized antibody with potential as a therapeutic agent against myeloid lineage leukemias.

Leukemia stem cells (LSCs) play a critical role in the initiation, recurrence, and resistance to treatment of leukemia. Eradicating LSCs is crucial for the complete elimination of the disease. CD45RA is identified as an important marker for LSC subsets in acute myeloid leukemia (AML), providing a strategic target for therapy.

Transcriptomics-Based Liquid Biopsy for Early Detection of Recurrence in Locally Advanced Gastric Cancer.

The study presents a transcriptomics-based liquid biopsy approach for early recurrence detection in locally advanced gastric cancer (LAGC). Four mRNA biomarkers (AGTR1, DNER, EPHA7, and SUSD5) linked to recurrence are identified through transcriptomic data analysis. A Risk Stratification Assessment (RSA) model combining these biomarkers with clinical features showed superior predictive accuracy for postoperative recurrence, with AUCs of 0.