Ozal Beylerli , Leili Gulieva , Valentin Pavlov , Huaizhang Shi
{"title":"Identification of non-invasive biomarkers associated with glioma hemorrhage","authors":"Ozal Beylerli , Leili Gulieva , Valentin Pavlov , Huaizhang Shi","doi":"10.1016/j.hest.2025.05.001","DOIUrl":null,"url":null,"abstract":"<div><div>Gliomas are among the most prevalent primary intracranial malignancies, and their management remains complex due to high rates of morbidity and mortality. Hemorrhage within gliomas, although relatively uncommon, can exacerbate disease progression, complicate clinical decision-making, and worsen patient outcomes. Identifying reliable, non-invasive biomarkers that predict or detect hemorrhage risk in glioma is an emerging research priority. This review examines the current landscape of non-invasive biomarkers—including advanced neuroimaging parameters, circulating molecular signatures, and genetic markers—that have shown potential in identifying glioma hemorrhage. We begin by summarizing the mechanisms and risk factors underlying hemorrhagic events in glioma, emphasizing the pathophysiological interplay between tumor angiogenesis, microvascular fragility, and coagulopathies. We then explore the role of modern neuroimaging techniques, such as susceptibility-weighted imaging (SWI), dynamic contrast-enhanced MRI, and radiomic-based analytical models, in uncovering hemodynamic and structural features predictive of hemorrhage. Concurrently, we evaluate key circulating biomarkers—ranging from cell-free DNA to microRNAs and extracellular vesicles—that hold promise for real-time, minimally invasive assessment of vascular integrity. By synthesizing evidence from these domains, we highlight their individual strengths and limitations and propose an integrative strategy that combines imaging and liquid biopsy approaches for enhanced diagnostic accuracy. Collectively, this review aims to provide clinicians and researchers with a comprehensive understanding of the utility and prospects of non-invasive biomarkers in the context of glioma hemorrhage, ultimately guiding more personalized surveillance and therapeutic interventions.</div></div>","PeriodicalId":33969,"journal":{"name":"Brain Hemorrhages","volume":"6 4","pages":"Pages 176-187"},"PeriodicalIF":1.3000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain Hemorrhages","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2589238X25000464","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Gliomas are among the most prevalent primary intracranial malignancies, and their management remains complex due to high rates of morbidity and mortality. Hemorrhage within gliomas, although relatively uncommon, can exacerbate disease progression, complicate clinical decision-making, and worsen patient outcomes. Identifying reliable, non-invasive biomarkers that predict or detect hemorrhage risk in glioma is an emerging research priority. This review examines the current landscape of non-invasive biomarkers—including advanced neuroimaging parameters, circulating molecular signatures, and genetic markers—that have shown potential in identifying glioma hemorrhage. We begin by summarizing the mechanisms and risk factors underlying hemorrhagic events in glioma, emphasizing the pathophysiological interplay between tumor angiogenesis, microvascular fragility, and coagulopathies. We then explore the role of modern neuroimaging techniques, such as susceptibility-weighted imaging (SWI), dynamic contrast-enhanced MRI, and radiomic-based analytical models, in uncovering hemodynamic and structural features predictive of hemorrhage. Concurrently, we evaluate key circulating biomarkers—ranging from cell-free DNA to microRNAs and extracellular vesicles—that hold promise for real-time, minimally invasive assessment of vascular integrity. By synthesizing evidence from these domains, we highlight their individual strengths and limitations and propose an integrative strategy that combines imaging and liquid biopsy approaches for enhanced diagnostic accuracy. Collectively, this review aims to provide clinicians and researchers with a comprehensive understanding of the utility and prospects of non-invasive biomarkers in the context of glioma hemorrhage, ultimately guiding more personalized surveillance and therapeutic interventions.