Comparative analysis of artificial intelligence tools for the dissemination of colorectal cancer screening guidelines: a novel perspective on early screening education.

This study systematically evaluated the effectiveness of three artificial intelligence (AI) tools-ChatGPT-4o, Claude3.5, and DeepSeek-in disseminating colorectal cancer screening guidelines to non-medical populations. Using uniform instructions aligned with the Chinese society of clinical oncology 2024 standards, the AI-generated content was analyzed for accuracy, clarity, and rigor, supplemented by a cross-evaluation mechanism to quantify performance.

Potential of SPHK1 as a prognostic marker and therapeutic target in colorectal cancer: insights from bioinformatics and experimental analysis.

Background: Colorectal cancer (CRC) remains a major cause of cancer-related mortality globally, primarily due to its aggressive progression and poor prognosis in many patients. Despite treatment advances, new therapeutic targets are critically needed to enhance patient outcomes. Although sphingosine kinase 1 (SPHK1) has been linked to various cancers, its role in CRC progression, prognosis, and as a therapeutic target is not well understood.

Identification and experimental validation of programmed cell death- and mitochondria-associated biomarkers in osteoporosis and immune microenvironment.

Prior research has demonstrated that programmed cell death (PCD) and mitochondria assume pivotal roles in controlling cellular metabolism and maintaining bone cell equilibrium. Nonetheless, the comprehensive elucidation of their mode of operation in osteoporosis (OP) warrants further investigation. Therefore, this study aimed at analyzing the role of genes associated with PCD (PCD-RGs) and mitochondria (mortality factor-related genes; MRGs) in OP.

Incidence and clinical characteristics of hypertriglyceridemic acute pancreatitis: A retrospective single-center study.

Background: The incidence of hypertriglyceridemic acute pancreatitis (HTG-AP) has increased yearly, but updated population-based estimates on the incidence of HTG-AP are lacking. Reducing serum triglyceride (TG) levels quickly is crucial in the early treatment of HTG-AP. Decreased serum TG levels are treated by non-invasive methods, which include anti-lipidemic agents, heparin, low-molecular weight heparin, and insulin, and invasive methods, such as blood purification including hemoperfusion (HP), plasmapheresis, and continuous renal replacement therapy.

Identification of differentially expressed miRNAs derived from serum exosomes associated with gastric cancer by microarray analysis.

Aims: To explore the differentially expressed microRNAs (DEMs) in serum exosomes between gastric cancer (GC) patients and healthy people to provide new targets for GC diagnosis and treatment.

Methods: DEMs in serum exosomes were screened by microarray analysis and verified by RT-qPCR. The target genes of DEMs were predicted using Targetscan and miRTarBase databases and then overlapped with the DEGs of STAD in TCGA database to obtain the common target genes.

Analysis of the efficacy of a modified posteromedial approach for Klammer III posterior Pilon fractures.

Purpose: To analyze the curative effect and technical points of a modified posteromedial approach in the treatment of Klammer III posterior Pilon fracture.

Methods: A retrospective analysis of patients with Klammer III posterior Pilon fractures were conducted in our department from January 2018 to December 2019. Before the surgery, the patients were fully relieved of swelling and pain, and a comprehensive examination was carried out.

Construction of PD1/CD28 chimeric-switch receptor enhances anti-tumor ability of c-Met CAR-T in gastric cancer.

Chimeric antigen receptor (CAR) T cell is a promising method in cancer immunotherapy but faces many challenges in solid tumors. One of the major problems was immunosuppression caused by PD-1. In our study, the expression of c-Met in GC was analyzed from TCGA datasets, GC tissues, and cell lines.