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Extracellular Vesicle DNA Extraction and Sequencing in Ancient Serum Samples From Patients With Breast Cancer.
- Source :
-
Anticancer research [Anticancer Res] 2024 Jul; Vol. 44 (7), pp. 2981-2988. - Publication Year :
- 2024
-
Abstract
- Background/aim: Extracellular vesicle DNA (EV-DNA) has emerged as a novel biomarker for tumor mutation detection using liquid biopsies, exhibiting biological advantages compared to cell-free DNA (cfDNA). This study assessed the feasibility of EV-DNA and cfDNA extraction and sequencing in old serum samples of patients with breast cancer (BC).<br />Patients and Methods: A total of 28 serum samples of 27 patients with corresponding clinical information were collected between 1983 and 1991. EV-DNA was extracted using Exo-GAG kit (Nasabiotech) and cfDNA using QIAsymphony DSP Virus/Pathogen Midi Kit (Qiagen), respectively. Subsequently, 10 matched samples (EV-DNA n=5, cfDNA n=5) of five patients were subjected to sequencing using the Oncomine™ Breast cfDNA Research Assay v2 (Thermo Fisher Scientific).<br />Results: Samples were collected on median 1.9 years after primary diagnosis [interquartile range (IQR)=0.2-7.2]. Median follow-up was 9.5 years (IQR=5.2-14.2). Median age of serum samples was 36.1 years (IQR=34.5-37.3). EV-DNA and cfDNA were extracted from 100% (28/28) of the included samples. Both, DNA quantity and concentration were comparable between EV-DNA and cfDNA. Sequencing was successfully performed in 100% (10/10) of the included samples. Two matched analyses yielded equivalent results in EV-DNA and cfDNA (no mutations, n=1; PIK3CA mutation, n=1), whilst in two analyses, PIK3CA mutation was only found in cfDNA, and in one analysis, a TP53 mutation was only found in EV-DNA.<br />Conclusion: EV-DNA extraction and sequencing in old serum samples of patients with BC is feasible and has the potential to address clinically relevant questions in longitudinal studies.<br /> (Copyright © 2024 International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1791-7530
- Volume :
- 44
- Issue :
- 7
- Database :
- MEDLINE
- Journal :
- Anticancer research
- Publication Type :
- Academic Journal
- Accession number :
- 38925824
- Full Text :
- https://doi.org/10.21873/anticanres.17110