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Purpose: To assess the ability of circulating tumor DNA (ctDNA)-based testing to identify patients with HER2 (encoded by ERBB2)-positive gastric/gastroesophageal adenocarcinoma (GEA) who progressed on or after trastuzumab-containing treatments were treated with combination therapy of anti-HER2 and anti-PD-1 agents.
Methods: ctDNA analysis was performed retrospectively using plasma samples collected at study entry from 86 patients participating in the phase 1/2 CP-MGAH22-05 study (NCT02689284).
Results: Objective response rate (ORR) was significantly higher in evaluable ERBB2 amplification-positive vs - negative patients based on ctDNA analysis at study entry (37% vs 6%, respectively; P = .00094). ORR was 23% across all patients who were evaluable for response. ERBB2 amplification was detected at study entry in 57% of patients (all HER2 positive at diagnosis), and detection was higher (88%) when HER2 status was determined by immunohistochemistry fewer than 6 months before study entry. ctDNA was detected in 98% (84/86) of patients tested at study entry. Codetected ERBB2-activating mutations were not associated with response.
Conclusions: Current ERBB2 status may be more effective than archival status at predicting clinical benefit from margetuximab plus pembrolizumab therapy. ctDNA testing for ERBB2 status prior to treatment will spare patients from repeat tissue biopsies, which may be reserved for reflex testing when ctDNA is not detected.
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http://dx.doi.org/10.46883/2023.25920992 | DOI Listing |
J Chem Inf Model
September 2025
Department of Chemistry, Delaware State University, Dover, Delaware 19901, United States.
The calculation of the highest occupied molecular orbital-lowest unoccupied molecular orbital (HOMO-LUMO) gap for chemical molecules is computationally intensive using quantum mechanics (QM) methods, while experimental determination is often costly and time-consuming. Machine Learning (ML) offers a cost-effective and rapid alternative, enabling efficient predictions of HOMO-LUMO gap values across large data sets without the need for extensive QM computations or experiments. ML models facilitate the screening of diverse molecules, providing valuable insights into complex chemical spaces and integrating seamlessly into high-throughput workflows to prioritize candidates for experimental validation.
View Article and Find Full Text PDFN Engl J Med
September 2025
Department of Health Promotion and Policy, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst.
Background: In 2019, seven county correctional facilities (jails) in Massachusetts initiated pilot programs to provide all Food and Drug Administration-approved medications for opioid use disorder (MOUD).
Methods: This observational study used linked state data to examine postrelease MOUD receipt, overdose, death, and reincarceration among persons with probable opioid use disorder (OUD) in carceral settings who did or did not receive MOUD from these programs from September 1, 2019, through December 31, 2020. Log-binomial and proportional-hazards models were adjusted for propensity-score weights and baseline covariates that remained imbalanced after propensity-score weighting.
J Infect Dis
September 2025
University of Veterinary Medicine Vienna, Infectiology, Vienna, Austria.
Frequent emergence of respiratory viruses with pandemic potential, like SARS-CoV-2 or influenza, underscores the need for broad-spectrum prophylaxis. Existing vaccines show reduced efficacy against newly emerged variants, and the ongoing risk of new outbreaks highlights the importance of alternative strategies to prevent infection and viral transmission. As respiratory viruses primarily enter through the nose, formulations targeting the nasal epithelium are attractive candidates to neutralize pathogens and thus prevent or minimize infection.
View Article and Find Full Text PDFJ Leukoc Biol
September 2025
Laboratory of Immunobiology and Ionic Transport Regulation, Centro Universitario de Investigaciones Biomédicas, Universidad de Colima, Av. 25 de Julio 965, Villa de San Sebastián, 28045 Colima, México.
Ion channels are integral membrane proteins which facilitate rapid transport of small ions into and out of the cell and between organelles and cytosol. Cytolytic lymphocytes including natural killer (NK) cells principally kill virus-infected and cancer cells by releasing cytolytic granules within the immunological synapse, formed between target and effector cells. This process strongly depends on Ca2+ signaling, which in human NK cells is controlled by the phospholipase C (PLCγ)/inositol-1,4,5-triphospate receptor (IP3R)/calcium release-activated calcium channel (CRAC) axis.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Political Science, Syracuse University, New York, United States of America.
Background: The rapid global spread of the COVID-19 pandemic affected different regions, communities, and individuals in vastly different ways that interdisciplinary social scientists are well-positioned to document and investigate. This paper describes an innovative mixed-methods dataset generated by a research study that was designed to chronicle and preserve evidence of the pandemic's divergent effects: the Pandemic Journaling Project (PJP). The dataset was generated by leveraging digital technology to invite ordinary people around the world to document the impact of the COVID-19 pandemic on their everyday lives over a two-year period (May 2020-May 2022) using text, images, and audio.
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