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Extracellular Vesicles from Thyroid Carcinoma: The New Frontier of Liquid Biopsy. | LitMetric

AI Article Synopsis

  • * Current thyroid nodule diagnoses usually employ invasive fine-needle aspiration biopsies, which can be inaccurate, highlighting the need for non-invasive alternatives.
  • * Liquid biopsy, particularly through the analysis of extracellular vesicles (EVs), offers a promising non-invasive method for early tumor detection and monitoring in thyroid cancer patients.

Article Abstract

The diagnostic approach to thyroid cancer is one of the most challenging issues in oncology of the endocrine system because of its high incidence (3.8% of all new cancer cases in the US) and the difficulty to distinguish benign from malignant non-functional thyroid nodules and establish the cervical lymph node involvement during staging. Routine diagnosis of thyroid nodules usually relies on a fine-needle aspirate biopsy, which is invasive and often inaccurate. Therefore, there is an urgent need to identify novel, accurate, and non-invasive diagnostic procedures. Liquid biopsy, as a non-invasive approach for the detection of diagnostic biomarkers for early tumor diagnosis, prognosis, and disease monitoring, may be of particular benefit in this context. Extracellular vesicles (EVs) are a consistent source of tumor-derived RNA due to their prevalence in circulating bodily fluids, the well-established isolation protocols, and the fact that RNA in phospholipid bilayer-enclosed vesicles is protected from blood-borne RNases. Recent results in other types of cancer, including our recent study on plasma EVs from glioblastoma patients suggest that information derived from analysis of EVs from peripheral blood plasma can be integrated in the routine diagnostic tumor approach. In this review, we will examine the diagnostic and prognostic potential of liquid biopsy to detect tumor-derived nucleic acids in circulating EVs from patients with thyroid carcinoma.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6429352PMC
http://dx.doi.org/10.3390/ijms20051114DOI Listing

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