Publications by authors named "J C Xiu"

Introduction: X842 is a new type of gastric acid-suppressing agent with a rapid onset of action and a long duration of effect. We aim to investigate the efficacy and safety of different doses of X842 versus lansoprazole in the treatment of patients with erosive esophagitis (EE).

Methods: This phase 2 study included 90 patients with EE (Los Angeles grades A-D) who were randomized (1:1:1) to receive oral low-dose X842 (50 mg/day, n=31), high-dose X842 (100 mg/day, n=31), or lansoprazole (30 mg/day, n=30) for 4 weeks.

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Although two-dimensional (2D) histology and immunohistochemistry techniques have long been established and successfully applied to obtain structural information from tissues, recent advances in tissue clearing and expansion approaches combined with light sheet microscopy have led to the realization of three-dimensional (3D) nondestructive pathology, which may revolutionize our knowledge of the morphology of an organ or the whole body in its true state. Employing these 3D technologies, we obtained imaging data of microglia in whole hippocampus of mice. We established a simple procedure to analyze the 3D structures of microglia using the commercial software Amira.

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Background: A recent prospective phase II study (ECOG-ACRIN E2211) demonstrated that MGMT deficiency was associated with a significant response to capecitabine and temozolomide (CAPTEM) in pancreatic neuroendocrine neoplasms (NENs); however, routine MGMT analysis in NENs was not recommended. Our study sought to demonstrate whether loss of MGMT protein expression is associated with improved overall survival (OS) in patients receiving CAPTEM for NENs from various tumor sites.

Materials And Methods: Paraffin-embedded tumor samples were evaluated by immunohistochemistry (IHC) using an MGMT monoclonal antibody.

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PURPOSE Oncogenic mutations in KRAS have been identified in > 85% of pancreatic ductal adenocarcinoma (PDAC) cases. G12D, G12V, and G12R are the most frequent variants. Using large clinical and genomic databases, this study characterizes prognostic and molecular differences between KRAS variants, focusing on KRAS G12D and G12R.

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Objectives: The high incidence of coronary artery heart disease (CHD) poses a significant burden and challenge to public health systems globally. Effective prevention and early diagnosis of CHD have become key strategies to alleviate this burden. This study aims to explore the application of advanced machine learning techniques to enhance the accuracy of early screening and risk assessment for CHD.

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