Extracellular Vesicles’ Genetic Cargo as Noninvasive Biomarkers in Cancer: A Pilot Study Using ExoGAG Technology
Carolina Herrero,
Alba Ferreirós,
Daniel Pérez-Fentes,
Luis León-Mateos,
Rafael López-López,
Miguel Abal,
Lorena Alonso-Alconada
Affiliations
Carolina Herrero
Translational Medical Oncology Group (Oncomet), Health Research Institute of Santiago de Compostela (IDIS), University Hospital of Santiago de Compostela (SERGAS), CIBERONC, 15706 Santiago de Compostela, Spain
Alba Ferreirós
Nasasbiotech, S.L., Canton Grande 9, 15003 A Coruña, Spain
Daniel Pérez-Fentes
Urology Department, University Hospital of Santiago de Compostela (SERGAS), 15706 Santiago de Compostela, Spain
Luis León-Mateos
Translational Medical Oncology Group (Oncomet), Health Research Institute of Santiago de Compostela (IDIS), University Hospital of Santiago de Compostela (SERGAS), CIBERONC, 15706 Santiago de Compostela, Spain
Rafael López-López
Translational Medical Oncology Group (Oncomet), Health Research Institute of Santiago de Compostela (IDIS), University Hospital of Santiago de Compostela (SERGAS), CIBERONC, 15706 Santiago de Compostela, Spain
Miguel Abal
Translational Medical Oncology Group (Oncomet), Health Research Institute of Santiago de Compostela (IDIS), University Hospital of Santiago de Compostela (SERGAS), CIBERONC, 15706 Santiago de Compostela, Spain
Lorena Alonso-Alconada
Nasasbiotech, S.L., Canton Grande 9, 15003 A Coruña, Spain
The two most developed biomarkers in liquid biopsy (LB)—circulating tumor cells and circulating tumor DNA—have been joined by the analysis of extracellular vesicles (EVs). EVs are lipid-bilayer enclosed structures released by all cell types containing a variety of molecules, including DNA, mRNA and miRNA. However, fast, efficient and a high degree of purity isolation technologies are necessary for their clinical routine implementation. In this work, the use of ExoGAG, a new easy-to-use EV isolation technology, was validated for the isolation of EVs from plasma and urine samples. After demonstrating its efficiency, an analysis of the genetic material contained in the EVs was carried out. Firstly, the sensitivity of the detection of point mutations in DNA from plasma EVs isolated by ExoGAG was analyzed. Then, a pilot study of mRNA expression using the nCounter NanoString platform in EV-mRNA from a healthy donor, a benign prostate hyperplasia patient and metastatic prostate cancer patient plasma and urine samples was performed, identifying the prostate cancer pathway as one of the main ones. This work provides evidence for the value of using ExoGAG for the isolation of EVs from plasma and urine samples, enabling downstream applications of the analysis of their genetic cargo.