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Cell Mol Life Sci ; 79(11): 572, 2022 Oct 29.
Artículo en Inglés | MEDLINE | ID: mdl-36308630

RESUMEN

Almost all clinical oncologists agree that the discovery of reliable, accessible, and non-invasive biomarkers is necessary to decrease cancer mortality. It is possible to employ reliable biomarkers to diagnose cancer in the early stages, predict the patient prognosis, follow up the response to treatment, and estimate the risk of disease recurrence with high sensitivity and specificity. Extracellular vesicles (EVs), especially exosomes, have been the focus of translational research to develop such biomarkers over the past decade. The abundance and distribution of exosomes in bodily fluids, including serum, saliva, and urine, as well as their ability to transport various biomolecules (nucleic acids, proteins, and lipids) derived from their parent cells, make exosomes reliable, accessible, and potent biomarkers for diagnosis and follow-up of solid and hematopoietic tumors. In addition, exosomes play a vital role in various cellular processes, including tumor progression, by participating in intercellular communication. Although these advantages underline the high potential of tumor-derived exosomes as diagnostic biomarkers, the lack of standardized effective methods for their isolation, identification, and precise characterization makes their application challenging in clinical settings. We discuss the importance of non-coding RNAs (ncRNAs) in cellular processes, and the role of tumor-derived exosomes containing ncRNAs as potential biomarkers in several types of cancer. In addition, the advantages and challenges of these studies for translation into clinical applications are covered.


Asunto(s)
Exosomas , Vesículas Extracelulares , Neoplasias , Humanos , Neoplasias/diagnóstico , Neoplasias/genética , Neoplasias/tratamiento farmacológico , ARN no Traducido/genética , ARN no Traducido/metabolismo , Exosomas/metabolismo , Vesículas Extracelulares/metabolismo , Biomarcadores/metabolismo , Biomarcadores de Tumor/genética , Biomarcadores de Tumor/metabolismo
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