Title | Tumor-Derived Extracellular Vesicles as Liquid Biopsy for Diagnosis and Prognosis of Solid Tumors: Their Clinical Utility and Reliability as Tumor Biomarkers. |
Publication Type | Journal Article |
Year of Publication | 2024 |
Authors | Dabral, P, Bhasin, N, Ranjan, M, Makhlouf, MM, Elmageed, ZYAbd |
Journal | Cancers (Basel) |
Volume | 16 |
Issue | 13 |
Date Published | 2024 Jul 05 |
ISSN | 2072-6694 |
Abstract | Early cancer detection and accurate monitoring are crucial to ensure increased patient survival. Recent research has focused on developing non-invasive biomarkers to diagnose cancer early and monitor disease progression at low cost and risk. Extracellular vesicles (EVs), nanosized particles secreted into extracellular spaces by most cell types, are gaining immense popularity as novel biomarker candidates for liquid cancer biopsy, as they can transport bioactive cargo to distant sites and facilitate intercellular communications. A literature search was conducted to discuss the current approaches for EV isolation and the advances in using EV-associated proteins, miRNA, mRNA, DNA, and lipids as liquid biopsies. We discussed the advantages and challenges of using these vesicles in clinical applications. Moreover, recent advancements in machine learning as a novel tool for tumor marker discovery are also highlighted. |
DOI | 10.3390/cancers16132462 |
Alternate Journal | Cancers (Basel) |
PubMed ID | 39001524 |
PubMed Central ID | PMC11240796 |
Grant List | 00 / / Edwaed Via College of Osteopathic Medicine / |