AI Article Synopsis

  • Gliomas are the most common type of primary brain tumors, noted for their genetic variations and high rates of relapse and mortality.
  • Traditional tissue biopsies are effective for diagnosing and classifying these tumors but are invasive, making frequent monitoring and mutation detection difficult.
  • Liquid biopsy offers a non-invasive alternative for continuous tumor sampling and monitoring, using biomarkers like cell-free DNA and proteins, and can be combined with radiogenomics for improved diagnosis and treatment planning.

Article Abstract

Gliomas comprise the most frequent primary central nervous system (CNS) tumors, characterized by remarkable genetic and epigenetic heterogeneity, difficulty in monitoring, and increased relapse and mortality rates. Tissue biopsy is an established method of tumor cell collection and analysis that enables diagnosis, classification of different tumor types, and prediction of prognosis upon confirmation of tumor's location for surgical removal. However, it is an invasive and often challenging procedure that cannot be used for frequent patient screening, detection of mutations, disease monitoring, or resistance to therapy. To this end, the minimally invasive procedure of liquid biopsy has emerged, allowing effortless tumor sampling and enabling continuous monitoring. It is considered a novel preferable way to obtain faster data on potential tumor risk, personalized diagnosis, prognosis, and recurrence evaluation. The purpose of this review is to describe the advances on liquid biopsy for glioma diagnosis and management, indicating several biomarkers that can be utilized to analyze tumor characteristics, such as cell-free DNA (cfDNA), cell-free RNA (cfRNA), circulating proteins, circulating tumor cells (CTCs), and exosomes. It further addresses the benefit of combining liquid biopsy with radiogenomics to facilitate early and accurate diagnoses, enable precise prognostic assessments, and facilitate real-time disease monitoring, aiming towards more optimal treatment decisions.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10525418PMC
http://dx.doi.org/10.3390/biomedicines11092371DOI Listing

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