Working Paper Review Version 1 This version is not peer-reviewed

Commercial and Emerging Technologies for Cancer Diagnosis and Prognosis Based on Exosomal Biomarkers

Version 1 : Received: 30 January 2020 / Approved: 31 January 2020 / Online: 31 January 2020 (05:18:15 CET)

How to cite: Ohannesian, N.; Gunawardhana, D.; Misbah, I.; Rakhshandehroo, M.; Lin, S.H.; Shih, W. Commercial and Emerging Technologies for Cancer Diagnosis and Prognosis Based on Exosomal Biomarkers. Preprints 2020, 2020010379 Ohannesian, N.; Gunawardhana, D.; Misbah, I.; Rakhshandehroo, M.; Lin, S.H.; Shih, W. Commercial and Emerging Technologies for Cancer Diagnosis and Prognosis Based on Exosomal Biomarkers. Preprints 2020, 2020010379

Abstract

Exosomes are nano-sized extracellular vesicles excreted by mammalian cells that circulate freely in the bloodstream of living organisms. Exosomes have a lipid bilayer that encloses genetic material used in intracellular communication (e.g., double-stranded DNA, micro-RNAs, and messenger RNA). Recent evidence suggests that dysregulation of this genetic content within exosomes has a major role in tumor progression and in the surrounding microenvironment. Motivated by this discovery, we focused here on using exosomal biomarkers as a diagnostic and prognostic tool for cancer. In this review, we discuss recently discovered exosome-derived proteomic and genetic biomarkers used in cancer diagnosis and prognosis. Although several genetic biomarkers have been validated for their diagnostic values, proteomic biomarkers are still being actively pursued. We discuss both commercial technologies and emerging technologies for exosome isolation and analysis.

Subject Areas

circulating tumor biomarkers; extracellular vesicles; biological nanoparticles; liquid biopsy; biosensing

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