Robust Polyp Detection and Diagnosis through Compositional Prompt-Guided Diffusion Models.

Colorectal cancer (CRC) is a significant global health concern, and early detection through screening plays a critical role in reducing mortality. While deep learning models have shown promise in improving polyp detection, classification, and segmentation, their generalization across diverse clinical environments, particularly with out-of-distribution (OOD) data, remains a challenge. Multi-center datasets like PolypGen have been developed to address these issues, but their collection is costly and time-consuming.

Expert-AI Collaborative Training for Novice Endoscopists: A Path to Enhanced Efficiency.

Background: Esophagogastroduodenoscopy (EGD) is essential for diagnosing upper gastrointestinal disorders. Traditional training for novice endoscopists is often inefficient and inconsistent. This study evaluates the effectiveness of an AI-assisted system (EndoAdd) in improving EGD training.

Decomplexation of typical metal-organic complexes and simultaneous recovery of heavy metals: The role of reduction.

Decomplexation is an essential step in eliminating complex heavy metals commonly found in wastewater. While advanced oxidation processes targeting ligand degradation have been predominantly investigated, the innovative strategy of initiating decomplexation through metal-end reduction with simultaneous metal recovery, remains underexplored yet scientifically compelling. A critical research priority lies in systematically identifying metal-organic complexes amenable to this reductive approach.

Scoring system supporting suture decision-making for duodenal submucosal tumors.

Background: In recent years, endoscopic resection (ER) has been employed for the excision of submucosal tumors (SMTs). Nonetheless, ER in the duodenum is linked to elevated risks of both immediate and delayed hemorrhagic complications and perforations. Satisfactory suturing is crucial for reducing the occurrence of complications.

Eye-tracking dataset of endoscopist-AI teaming during colonoscopy: Retrospective and real-time acquisition.

Recent studies have demonstrated that integrating AI into colonoscopy procedures significantly improves the adenoma detection rate (ADR) and reduces the adenoma miss rate (AMR). However, few studies address the critical issue of endoscopist-AI collaboration in real-world settings. Eye-tracking data collection is considered a promising approach to uncovering how endoscopists and AI interact and influence each other during colonoscopy procedures.

An Automated Video Analysis System for Retrospective Assessment and Real-Time Monitoring of Endoscopic Procedures (with Video).

Background And Aims: Accurate recognition of endoscopic instruments facilitates quantitative evaluation and quality control of endoscopic procedures. However, no relevant research has been reported. In this study, we aimed to develop a computer-assisted system, EndoAdd, for automated endoscopic surgical video analysis based on our dataset of endoscopic instrument images.

A scoring system to predict the technical difficulty of endoscopic resection for cardial submucosal tumors.

Background And Aim: Endoscopic resection has been successfully used for the removal of digestive submucosal tumors (SMTs). However, the cardia has been considered a challenging location for endoscopic resection due to its narrow lumen and sharp angle. The objective of this study was to establish a clinical scoring model to grade the technical difficulty of endoscopic resection for cardial SMTs.

Endoscopic features and treatments of gastric cystica profunda.

Background: Gastric cystica profunda (GCP) represents a rare condition characterized by cystic dilation of gastric glands within the mucosal and/or submucosal layers. GCP is often linked to, or may progress into, early gastric cancer (EGC).

Aim: To provide a comprehensive evaluation of the endoscopic features of GCP while assessing the efficacy of endoscopic treatment, thereby offering guidance for diagnosis and treatment.

Endoscopic resection for calcifying fibrous tumors of the gastrointestinal tract.

Background: Calcifying fibrous tumors (CFTs) are rare mesenchymal lesions that can occur in various sites throughout the body, including the tubular gastrointestinal (GI) tract.

Aim: To analyze the clinical findings of 36 patients with GI tract CFTs to provide guidance for diagnosis and treatment.

Methods: This retrospective study included 36 patients diagnosed with CFTs of the GI tract.

YY1: a key regulator inhibits gastric cancer ferroptosis and mediating apatinib-resistance.

Objective: Gastric cancer (GC) stands as a prevalent and deadly global malignancy. Despite its role as a preoperative neoadjuvant therapy, Apatinib's effectiveness is curtailed among GC patients exhibiting elevated YY1 expression. YY1's connection to adverse prognosis, drug resistance, and GC metastasis is established, yet the precise underlying mechanisms remain elusive.

Risk factors for complications and incomplete resection after endoscopic resection for duodenal submucosal tumors.

Background And Aim: Endoscopic resection (ER) has been used to remove submucosal tumors (SMTs) in recent years; however, duodenal ER is associated with high rates of immediate or delayed bleeding and perforation. Whether ER can be recommended for the treatment of duodenal SMTs remains controversial. Therefore, we aimed to investigate the clinical outcomes associated with the ER of duodenal SMTs and to assess possible predictive factors for complications and incomplete resection.

The role of type II esophageal microbiota in achalasia: Activation of macrophages and degeneration of myenteric neurons.

Objective: The gut microbiota plays a critical role in the appropriate development and maintenance of the enteric nervous system (ENS). Esophageal achalasia (EA) is a rare motility disorder characterized by the selective degeneration of inhibitory neurons in the esophageal myenteric plexus. This study aimed to evaluate the composition of the esophageal microbiota in achalasia and explore the potential microbial mechanisms involved in its pathogenesis.

Muscular injury as an independent risk factor for esophageal stenosis after endoscopic submucosal dissection of esophageal squamous cell cancer.

Background And Aims: Stenosis after esophageal endoscopic submucosal dissection (ESD) has a high incidence, and muscular injury is an important risk factor for esophageal stenosis. Hence, this study aimed to classify muscular injury degrees and investigate their association with postoperative stenosis.

Methods: This retrospective study included 1033 patients with esophageal mucosal lesions treated with ESD between August 2015 and March 2021.

Endoscopic resection and suturing methods for non-ampullary duodenal submucosal tumors: "mini-invasive" treatments that should never be underestimated.

Objective: To evaluate the effectiveness and safety of endoscopic resection and various suturing methods to treat non-ampullary duodenal submucosal tumors (NAD-SMTs).

Design: We performed a retrospective observational study of patients with NAD-SMTs who underwent endoscopic resection at Zhongshan Hospital, Fudan University, China, between June 2017 and December 2020. Data on patient characteristics, treatments and follow-up results were collected.

Improving bowel preparation for colonoscopy with a smartphone application driven by artificial intelligence.

Optimal bowel preparation is a prerequisite for a successful colonoscopy; however, the rate of inadequate bowel preparation remains relatively high. In this study, we establish a smartphone app that assesses patient bowel preparation using an artificial intelligence (AI)-based prediction system trained on labeled photographs of feces in the toilet and evaluate its impact on bowel preparation quality in colonoscopy outpatients. We conduct a prospective, single-masked, multicenter randomized clinical trial, enrolling outpatients who own a smartphone and are scheduled for a colonoscopy.

IFNα Potentiates Anti-PD-1 Efficacy by Remodeling Glucose Metabolism in the Hepatocellular Carcinoma Microenvironment.

Unlabelled: The overall response rate for anti-PD-1 therapy remains modest in hepatocellular carcinoma (HCC). We found that a combination of IFNα and anti-PD-1-based immunotherapy resulted in enhanced antitumor activity in patients with unresectable HCC. In both immunocompetent orthotopic and spontaneous HCC models, IFNα therapy synergized with anti-PD-1 and the combination treatment led to significant enrichment of cytotoxic CD27+CD8+ T cells.

PARG inhibition limits HCC progression and potentiates the efficacy of immune checkpoint therapy.

Background & Aims: Although the treatment of hepatocellular carcinoma (HCC) has been revolutionized by the advent of effective systemic therapies, the prognosis of patients with HCC remains dismal. Herein, we examined the pathophysiological role of PARG and assessed the utility of targeting dePARylation for HCC therapy.

Methods: The oncogenic function of PARG was evaluated in 2 orthotopic xenograft models and a Parg mice model.

TM2D1 contributes the epithelial-mesenchymal transition of hepatocellular carcinoma via modulating AKT/β-catenin axis.

Various epidemiology studies showed the correlation between Alzheimer's disease (AD) and low incidence of cancer. However, the etiology underlying etiology of AD-related carcinogenesis remains largely elusive. Our study focused on characterizing the role of TM2D1 (TM2 domain containing 1) in hepatocellular carcinoma.

The mRNA-miRNA-lncRNA Regulatory Network and Factors Associated with Prognosis Prediction of Hepatocellular Carcinoma.

The aim of this study was to identify novel prognostic mRNA and microRNA (miRNA) biomarkers for hepatocellular carcinoma (HCC) using methods in systems biology. Differentially expressed mRNAs, miRNAs, and long non-coding RNAs (lncRNAs) were compared between HCC tumor tissues and normal liver tissues in The Cancer Genome Atlas (TCGA) database. Subsequently, a prognosis-associated mRNA co-expression network, an mRNA-miRNA regulatory network, and an mRNA-miRNA-lncRNA regulatory network were constructed to identify prognostic biomarkers for HCC through Cox survival analysis.

MNS1 promotes hepatocarcinogenesis and metastasis via activating PI3K/AKT by translocating β-catenin and predicts poor prognosis.

Background & Aims: Hepatocellular carcinoma (HCC) is a fatal disease characterized by vast molecular heterogeneity. Although major advances in tumour genetics has led to the identification of new biomarkers, the prognosis of patients with HCC remains dismal.

Methods: Quantitative reverse-transcription polymerase chain reaction (qRT-PCR) and western blot (WB) were used to evaluate meiosis-specific nuclear structural 1 (MNS1) expression in HCC cells.

Effects of TACE combined with microwave ablation on T lymphocyte subsets and prognosis in patients with liver cancer and analysis of safety.

Purpose: To explore the influence of transcatheter hepatic arterial chemoembolization (TACE) combined with microwave ablation on T lymphocyte subsets and prognosis in patients with liver cancer and analyze the safety.

Methods: The clinical data of 160 patients were retrospectively analyzed. The patients in the control group underwent TACE, while those in the observation group were treated with microwave ablation in addition to TACE.

SLFN11 inhibits hepatocellular carcinoma tumorigenesis and metastasis by targeting RPS4X via mTOR pathway.

Hepatocellular carcinoma (HCC) remains one of the most refractory malignancies worldwide. Schlafen family member 11 (SLFN11) has been reported to play an important role in inhibiting the production of human immunodeficiency virus 1 (HIV-1). However, whether SLFN11 also inhibits hepatitis B virus (HBV), and affects HBV-induced HCC remain to be systematically investigated.

Identification of FOS as a Candidate Risk Gene for Liver Cancer by Integrated Bioinformatic Analysis.

Liver cancer is a lethal disease that is associated with poor prognosis. In order to identify the functionally important genes associated with liver cancer that may reveal novel therapeutic avenues, we performed integrated analysis to profile miRNA and mRNA expression levels for liver tumors compared to normal samples in The Cancer Genome Atlas (TCGA) database. We identified 405 differentially expressed genes and 233 differentially expressed miRNAs in tumor samples compared with controls.