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: Metastatic bladder cancer (mBC) presents a significant global health challenge with a poor prognosis and considerably limited survival. Despite advancements in therapies, long-term survival remains difficult to predict. This study aimed to evaluate the prognostic potential of various pretreatment blood-based biomarkers, including the NLR, dNLR, LMR, PLR, SII, mGPS, CAR, AGR, PNI, PIV, and Bellmunt score, in mBC patients. : A retrospective cohort of 133 patients from Hacettepe University Cancer Institute was analyzed. Kaplan-Meier survival analysis and Cox regression models were used to assess overall survival (OS) and progression-free survival (PFS). : There was a significant association between multiple biomarkers and OS in the univariate analysis, with a higher NLR, PLR, and SII linked to worse outcomes. However, in the multivariate analysis, only the modified Glasgow Prognostic Score (mGPS) maintained independent prognostic significance for OS (HR: 1.984, = 0.013). This suggests that the mGPS, which reflects systemic inflammation and nutritional status, is a robust predictor of survival in mBC. : This study highlights the potential of integrating blood-based biomarkers into clinical decision-making to improve personalized treatment strategies. However, prospective studies are needed to validate these findings and assess their applicability to newer therapies such as immune checkpoint inhibitors and antibody-drug conjugates.
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http://dx.doi.org/10.3390/jcm14061954 | DOI Listing |
Epigenomics
September 2025
College of Physical Education, Yangzhou University, Yangzhou, China.
Background: Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder lacking objective biomarkers for early diagnosis. DNA methylation is a promising epigenetic marker, and machine learning offers a data-driven classification approach. However, few studies have examined whole-blood, genome-wide DNA methylation profiles for ASD diagnosis in school-aged children.
View Article and Find Full Text PDFAlzheimers Dement
September 2025
Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.
This review covers recent advances (2023-2024) in neuroimaging research into the pathophysiology, progression, and treatment of Alzheimer's disease (AD) and related dementias (ADRD). Despite the rapid emergence of blood-based biomarkers, neuroimaging continues to be a vital area of research in ADRD. Here, we discuss neuroimaging as a powerful tool to topographically visualize and quantify amyloid, tau, neurodegeneration, inflammation, and vascular disease in the brain.
View Article and Find Full Text PDFMol Psychiatry
September 2025
Memory Center, Hospital Moinhos de Vento, Porto Alegre, RS, Brazil.
Blood-based biomarkers (BBMs) have emerged as promising tools to enhance Alzheimer's disease (AD) diagnosis. Despite two-thirds of dementia cases occurring in the Global South, research on BBMs has predominantly focused on populations from the Global North. This geographical disparity hinders our understanding of BBM performance in diverse populations.
View Article and Find Full Text PDFACS Sens
September 2025
Department of Pharmacy, The People's Hospital of Guangxi Zhuang Autonomous Region & Guangxi Academy of Medical Sciences, Nanning, Guangxi 530021, China.
Alzheimer's disease (AD) is a progressive neurodegenerative disorder primarily characterized by cognitive decline and behavioral impairments, typically manifesting in the elderly and presenile population. With the rapid global aging trend, early diagnosis and treatment of AD have become increasingly urgent research priorities. The primary pathological features of AD include excessive accumulation of β-amyloid (Aβ) plaques, the formation of neurofibrillary tangles, and neuronal loss.
View Article and Find Full Text PDFFront Public Health
September 2025
Neurosciences Axis, Centre de Recherche du Centre Hospitalier Universitaire (CRCHU) de Québec-Université Laval, Québec City, QC, Canada.
Introduction: Preventive measures have been implemented in hospitals during COVID-19, but how these guidelines affected mental health among healthcare workers (HCWs) remains to be determined. On another note, reliable psychological and blood-based markers are needed to promptly identify HCWs at-risk to develop distress. Extracellular vesicles (EVs) originating from brain cross the blood-brain barrier and are detectable in blood, giving them a highly valuable potential for biomarker discovery.
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