Literature DB >> 33285296

Extracellular vesicles in blood: are they viable as diagnostic and predictive tools in breast cancer?

Róisín Daly1, Lorraine O'Driscoll2.   

Abstract

Extracellular vesicles (EVs), often described as mini-maps of their cells of origin, are found in the bloodstream and can be rich sources of cargo released from cancer cells. As such, they could be collected through minimally invasive methods and potentially used as biomarkers. However, the relatively complicated methodologies that separate the purest EVs are the least likely to be translated to the clinic, whereas simpler methods are non-selective for EVs. Notwithstanding this, research is underway to identify blood-based EV-associated diagnostic and predictive biomarkers for breast cancer. There is reason to be optimistic that some approaches will yield useful biomarkers. Thus, further studies with larger cohorts of appropriate samples are warranted.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 33285296     DOI: 10.1016/j.drudis.2020.11.001

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  3 in total

1.  Case Report: Analysis of Plasma Extracellular Vesicles in a Triple Negative Spindle-Cell Metaplastic Breast Cancer Patient.

Authors:  Ivan Vannini; Milena Urbini; Mattia Melloni; Tania Rossi; Giulia Gallerani; Michela Palleschi; Irene Azzali; Maurizio Puccetti; Giovanni Martinelli; Francesco Fabbri
Journal:  Front Med (Lausanne)       Date:  2022-03-09

2.  Proteomics profiling identifies extracellular vesicles' cargo associated with tumour cell induced platelet aggregation.

Authors:  Niamh McNamee; Laura Rodriguez de la Fuente; Maria Jose Santos-Martinez; Lorraine O'Driscoll
Journal:  BMC Cancer       Date:  2022-09-29       Impact factor: 4.638

3.  Metabolomic Profiling of Blood-Derived Microvesicles in Breast Cancer Patients.

Authors:  Judith Buentzel; Henry Gerd Klemp; Ralph Kraetzner; Matthias Schulz; Gry Helene Dihazi; Frank Streit; Annalen Bleckmann; Kerstin Menck; Darius Wlochowitz; Claudia Binder
Journal:  Int J Mol Sci       Date:  2021-12-17       Impact factor: 5.923

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.