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Objectives: Asthma, a prevalent chronic disease, poses significant health threats and burdens healthcare systems. This study focused on the role of bronchial epithelial cells in asthma pathophysiology.

Methods: Bioinformatics was used to identify key asthmarelated genes.

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A nomogram for the prediction of co-infection in MDA5 dermatomyositis: A rapid clinical assessment model.

Clin Immunol

January 2025

Department of Rheumatology and Immunology, Laboratory of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, China. Electronic address:

Background: Patients with anti-melanoma differentiation-associated gene 5-positive dermatomyositis (MDA5 DM) are prone to infections, but there is a lack of rapid methods to assess infection risk, which greatly affects patient prognosis. This study aims to analyze the clinical features of MDA5 DM patients systematically and develop a predictive model for infections.

Methods: Retrospective analysis was performed on clinical data from 118 hospitalized patients with MDA5 DM.

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Prognostic Value of Pretreatment Carcinoembryonic Antigen (CEA) in Rectal Cancer Treated with Preoperative Short-Course Radiotherapy with Delayed Surgery or Long-Course Radiotherapy.

Onco Targets Ther

January 2025

Department of Radiation Oncology & Proton and Radiation Therapy Center, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung City, 833, Taiwan.

Purpose: To investigate the prognostic value of the pretreatment serum carcinoembryonic antigen (CEA) level in patients with rectal cancer treated by preoperative short-course radiotherapy (SCRT) followed by chemotherapy and delayed surgery.

Patients And Methods: Two hundred and sixty-six consecutive patients with locally advanced rectal adenocarcinoma without distant metastasis receiving preoperative radiotherapy were enrolled. Group 1 patients (n=144) received long-course radiotherapy (LCRT) with 50.

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Colorectal cancer (CRC) is a prevalent malignant tumor that presents significant challenges to both public health and healthcare systems. The aim of this study was to develop a machine learning model based on five years of clinical follow-up data from CRC patients to accurately identify individuals at risk of poor prognosis. This study included 411 CRC patients who underwent surgery at Yixing Hospital and completed the follow-up process.

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Carcinoma of unknown primary (CUP) is a diverse group of malignancies characterized by metastatic disease without an identified primary site. It typically presents with a poor prognosis due to widespread metastasis at diagnosis. This report discusses a 58-year-old female patient with advanced CUP and diffuse liver metastasis.

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