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Lai et al. J Cancer Metastasis Treat 2019;5:65                      Journal of Cancer
               DOI: 10.20517/2394-4722.2019.011                          Metastasis and Treatment




               Review                                                                        Open Access


               Membrane lipid binding molecules for the isolation
               of bona fide extracellular vesicle types and

               associated biomarkers in liquid biopsy


               Ruenn Chai Lai , Kok Hian Tan , Sai Kiang Lim 1,3
                                         2
                            1
               1 A*STAR Institute of Medical Biology, 8A Biomedical Grove, #05-05 Immunos, Singapore 138648, Singapore.
               2 Department of Maternal Fetal Medicine, KK Women’s & Children’s Hospital, Singapore 229899, Singapore.
               3 Department of Surgery, YLL School of Medicine, NUS, Singapore 119074, Singapore.


               Correspondence to: Prof. Sai Kiang Lim, A*STAR Institute of Medical Biology, 8A Biomedical Grove, #05-05 Immunos, Singapore
               138648, Singapore. E-mail: saikiang.lim@imb.a-star.edu.sg

               How to cite this article: Lai RC, Tan KH, Lim SK. Membrane lipid binding molecules for the isolation of bona fide extracellular
               vesicle types and associated biomarkers in liquid biopsy. J Cancer Metastasis Treat 2019;5:65.
               http://dx.doi.org/10.20517/2394-4722.2019.011

               Received: 17 May 2019    First Decision: 30 Jul 2019     Revised: 7 Aug 2019    Accepted: 29 Aug 2019    Published: 3 Sep 2019

               Science Editor: Bingliang Fang    Copy Editor: Jia-Jia Meng    Production Editor: Tian Zhang




               Abstract
               Cancer exacts a heavy socioeconomic cost. Earlier detection and treatment are likely to mitigate this cost.
               Unfortunately, conventional tissue biopsy, the gold standard in cancer diagnosis cannot fulfill the goal of earlier
               detection. While liquid biopsy is a promising alternative to tissue biopsy, it has its challenges and limitations.
               A major challenge is the isolation of bona fide lipid membrane vesicles from biological fluids. In this review,
               we presented a new perspective of isolating different types of extracellular vesicles (EVs) by their affinity for
               membrane lipid binding ligands for liquid biopsy. EVs are lipid membrane particles naturally released by almost all
               cells and are found in almost all biological fluids suitable for liquid biopsy. They carry materials from the secreting
               cells that could affect the biology of the recipient cells and could thus inform on the state and progress of the
               disease.  However, isolating bona fide EVs is a technical challenge as biological fluids have a complex composition
               and contain particles or aggregates that are physically similar to EVs. Here we review the use of membrane lipid-
               binding ligands to isolate different bona fide EV subtypes, and to circumvent the problem of co-isolating physically
               similar non-EV complexes in current EV isolation protocols. We will discuss the advantages of this technique
               and its potential for accelerated biomarker discovery and validation through examples of pre-clinical studies. We
               propose that isolating EV subtypes is a technically viable and robust strategy to overcome the current bottleneck
               of isolating EVs for liquid biopsy.



                           © The Author(s) 2019. Open Access This article is licensed under a Creative Commons Attribution 4.0
                           International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use,
                sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long
                as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license,
                and indicate if changes were made.


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