Extracellular vesicle (EV) monitoring can complement clinical assessment of cancer response. In this study, patients with advanced non-small cell lung cancer (NSCLC) undergoing osimertinib, alectinib, pembrolizumab or platinum-based chemotherapy ± pembrolizumab were enrolled. EVs were characterized using Bradford assay to quantify the circulating cell-free EV protein content (cfEV), and dynamic light scattering to assess Rayleigh ratio excess at 90°, z-averaged hydrodynamic diameter and polydispersity index. A total of 135 plasma samples from 27 patients were collected at baseline (T0) and at the first radiological restaging (T1). A ∆cfEV < 20% was associated with improved median progression-free survival (mPFS) in responders versus non-responders. Specifically, cfEV responders on pembrolizumab had a significantly better mPFS (25.2 months) compared to those on chemotherapy plus pembrolizumab (6.1 months). EGFR-positive cfEV responders also experienced longer mPFS compared to cfEV non-responders (35.1 months, 95% CI: 14.9-35.5 vs. 20.8 months, 95% CI: 11.2-30.4). This study suggested that monitoring circulating EV could provide valuable insights into treatment efficacy in NSCLC, particularly for patients receiving pembrolizumab or osimertinib.
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http://dx.doi.org/10.1002/1878-0261.13737 | DOI Listing |
Background: There is an urgent need for new therapeutic and diagnostic targets for Alzheimer's disease (AD). Dementia afflicts roughly 55 million individuals worldwide, and the prevalence is increasing with longer lifespans and the absence of preventive therapies. Given the demonstrated heterogeneity of Alzheimer's disease in biological and genetic components, it is critical to identify new therapeutic approaches.
View Article and Find Full Text PDFBackground: TREM2 is a lipid-sensing receptor expressed by microglial sub-populations within neuropathological microenvironments, whose downstream signaling promotes microglial survival, plasticity, and migration. Multiple loss-of-function variants strongly implicate TREM2 as a key regulator of Alzheimer's disease (AD) risk. Accordingly, TREM2 antibodies are currently in development to evaluate the therapeutic potential of TREM2 agonism in neurodegenerative diseases.
View Article and Find Full Text PDFBackground: Abnormal glucose metabolism in AD brains correlates with cognitive deficits. The glucose changes are consistent with brain thiamine (vitamin B1) deficiency. In animals, thiamine deficiency causes multiple AD-like changes including memory loss, neuron loss, brain inflammation, enhanced phosphorylation of tau, exaggerated plaque formation and elevated advanced glycation end products (AGE).
View Article and Find Full Text PDFBackground: Patients with Alzheimer's disease (AD) often experience burdensome neuropsychiatric symptoms, including agitation which occurs in both home and long-term care (LTC) facilities, and is associated with substantial increases in caregiver burden and LTC placements. AXS-05 (45-mg dextromethorphan/105-mg bupropion), a novel, oral NMDA receptor antagonist and sigma-1 receptor agonist, approved by the FDA for major depressive disorder, is being investigated for treatment of AD agitation (ADA). AXS-05 has been evaluated in 2 randomized, double-blind studies: Phase 2 ADVANCE-1 (NCT03226522); Phase 3 ACCORD (NCT04797715).
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Critical Path for Alzheimer's Disease (CPAD) Consortium, Critical Path institute, Tucson, AZ, USA.
Background: To help improve the Alzheimer's disease (AD) therapeutics research and development process, the Critical Path for Alzheimer's Disease (CPAD) Consortium at the Critical Path Institute (C-Path) provides a neutral framework for the drug development industry, regulatory agencies, academia, and patient advocacy organizations to collaborate. CPAD's extensive track record of developing regulatory-grade quantitative drug development tools motivates sponsors to share patient-level data and neuroimages from clinical trials. CPAD leverages these data and uses C-Path's core competencies in data management and standardization, quantitative modeling, and regulatory science to develop tools that help de-risk decision making in AD drug development.
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