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The decision to treat advanced gastroesophageal cancers (GECs) with targeted therapy and immunotherapy is based on key biomarker expression (human epidermal growth factor receptor 2 (HER2), programmed cell death-ligand 1 (PD-L1), microsatellite instability (MSI), and/or mismatch repair (MMR)). Real-world data on testing, results, and treatment patterns are limited. This retrospective observational study used a nationwide electronic health record-derived de-identified database of patients from the United States. The analysis included adult patients with advanced GECs who initiated systemic treatment between 2017 and 2020. Biomarker testing patterns, timing, assays, tissue collection site, results, and treatment sequences were assessed. Of 1142 eligible patients, adenocarcinoma was the most prevalent histology (83% of patients). Overall, 571 (50%) patients were tested for PD-L1, 582 (51%) were tested for MMR/MSI, and 857 (75%) were tested for HER2. Between 2017 and 2020, the PD-L1 testing rate increased from 39% to 58%, and the MMR/MSI testing rate increased from 41% to 58%; the median time from initial diagnosis to first test decreased for both biomarkers. Programmed cell death receptor-1 inhibitor use was observed among patients with positive PD-L1 or MMR-deficient/MSI-High results. These results supplement data reported in key clinical trials and may inform decision-making as treatment options for advanced GECs evolve.
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http://dx.doi.org/10.3390/curroncol30020145 | DOI Listing |
Brain
September 2025
Sorbonne University, Inserm U1127, CNRS UMR7225, UM75, Paris Brain Institute, Movement Investigation and Therapeutics Team, 75013 Paris, France.
Adolescence is frequently called the second brain maturation period. In Tourette disorder (TD), the clinical trajectory of tics and associated psychiatric co-morbidities vary significantly across individuals during the transition from adolescents to adulthood. In this study, we aimed to identify patterns of resting-state functional connectivity that differentiate adolescents with TD from their neurotypical peers, and to monitor symptom-specific functional changes over time.
View Article and Find Full Text PDFAnn Acad Med Singap
August 2025
Dementia Research Centre (Singapore), Lee Kong Chian School of Medicine, Nanyang Technology University, Singapore.
Introduction: Interpretation and analysis of magnetic resonance imaging (MRI) scans in clinical settings comprise time-consuming visual ratings and complex neuroimage processing that require trained professionals. To combat these challenges, artificial intelligence (AI) techniques can aid clinicians in interpreting brain MRI for accurate diagnosis of neurodegenerative diseases but they require extensive validation. Thus, the aim of this study was to validate the use of AI-based AQUA (Neurophet Inc.
View Article and Find Full Text PDFACS Sens
September 2025
METU MEMS Center, Ankara 06530, Türkiye.
Cardiovascular diseases (CVDs) remain a leading cause of death, particularly in developing countries, where their incidence continues to rise. Traditional CVD diagnostic methods are often time-consuming and inconvenient, necessitating more efficient alternatives. Rapid and accurate measurement of cardiac biomarkers released into body fluids is critical for early detection, timely intervention, and improved patient outcomes.
View Article and Find Full Text PDFJ Alzheimers Dis
September 2025
Paula Costa-Urrutia Medical Affairs, Terumo BCT, Edificio Think MVD, Montevideo, Uruguay.
BackgroundTherapeutic plasma exchange (TPE) with albumin replacement has emerged as a potential treatment for Alzheimer's disease (AD). The AMBAR trial showed that TPE could slow cognitive and functional decline, along with changes in core and inflammatory biomarkers in cerebrospinal fluid.ObjectiveTo evaluate the safety and effectiveness of TPE in a real-world setting in Argentina.
View Article and Find Full Text PDFInt J Surg
September 2025
Department of Anesthesiology, Qingdao Municipal Hospital, Qingdao, Shandong Province, China.
Background: As a common postoperative neurological complication, postoperative delirium (POD) can lead to poor postoperative recovery in patients, prolonged hospitalization, and even increased mortality. However, POD's mechanism remains undefined and there are no reliable molecular markers of POD to date. The present work examined the associations of cerebrospinal fluid (CSF) sTREM2 with CSF POD biomarkers, and investigated whether the effects of CSF sTREM2 on POD were modulated by the core pathological indexes of POD (Aβ42, tau, and ptau).
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