Literature DB >> 35760999

Liquid Biopsies: Flowing Biomarkers.

Vincent Hyenne1,2,3,4,5, Jacky G Goetz1,2,3,4, Naël Osmani6,7,8,9.   

Abstract

Metastatic dissemination accounts for most of the death in patients during cancer progression. There is thus an urge to identify specific biomarkers as proxies for cancer progression and assessment of treatment efficiency. Cancer is a systemic disease involving the shuttling of tumor cells and tumor secreted factors to distant organs, mostly via biofluids. During this transfer, these factors are accessible for easy sampling and therefore constitute a unique source of information witnessing the presence and the evolution of the disease. Hence, liquid biopsies offer multiple advantages, including simple and low-invasive sampling procedures, low cost, and higher compliance. Importantly, liquid biopsies are adapted to personalized medicine allowing a longitudinal follow-up to monitor treatment efficiency or resistance, and risk of relapse.The evolution of methodologies to isolate circulating tumor cells (CTCs) and extracellular vesicles (EVs) from blood samples associated with the characterization of their membrane surface repertoire and content have been instrumental in the emergence of liquid biopsies as an easy and non-invasive alternative as opposed to classical surgery-mediated tumor biopsies.In this chapter, we comment on CTCs and EVs carrying features with great potential as cancer biomarkers. More specifically, we focus on the adhesive and mechanical properties of CTCs as metastatic markers. We also consider the recent development of EVs isolation methods and the identification of new biomarkers. Finally, we discuss their relevance as cancer prognosis tools.
© 2022. The Author(s), under exclusive license to Springer Nature Switzerland AG.

Entities:  

Keywords:  Biomarker; CTC (circulating tumor cell); Extracellular vesicle; Liquid biopsy; Metastasis

Mesh:

Substances:

Year:  2022        PMID: 35760999     DOI: 10.1007/978-3-031-04039-9_14

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  162 in total

1.  The future of liquid biopsy.

Authors:  Catherine Alix-Panabières
Journal:  Nature       Date:  2020-03       Impact factor: 49.962

2.  Cancer statistics, 2020.

Authors:  Rebecca L Siegel; Kimberly D Miller; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2020-01-08       Impact factor: 508.702

Review 3.  Surviving at a Distance: Organ-Specific Metastasis.

Authors:  Anna C Obenauf; Joan Massagué
Journal:  Trends Cancer       Date:  2015-09-28

Review 4.  Tumor Cell Invadopodia: Invasive Protrusions that Orchestrate Metastasis.

Authors:  Robert J Eddy; Maxwell D Weidmann; Ved P Sharma; John S Condeelis
Journal:  Trends Cell Biol       Date:  2017-04-12       Impact factor: 20.808

Review 5.  Emerging Biological Principles of Metastasis.

Authors:  Arthur W Lambert; Diwakar R Pattabiraman; Robert A Weinberg
Journal:  Cell       Date:  2017-02-09       Impact factor: 41.582

Review 6.  Fluids and their mechanics in tumour transit: shaping metastasis.

Authors:  Gautier Follain; David Herrmann; Sébastien Harlepp; Vincent Hyenne; Naël Osmani; Sean C Warren; Paul Timpson; Jacky G Goetz
Journal:  Nat Rev Cancer       Date:  2019-11-28       Impact factor: 60.716

Review 7.  Cancer overdiagnosis: a biological challenge and clinical dilemma.

Authors:  Sudhir Srivastava; Eugene J Koay; Alexander D Borowsky; Angelo M De Marzo; Sharmistha Ghosh; Paul D Wagner; Barnett S Kramer
Journal:  Nat Rev Cancer       Date:  2019-06       Impact factor: 60.716

Review 8.  Liquid Biopsy: From Discovery to Clinical Application.

Authors:  Catherine Alix-Panabières; Klaus Pantel
Journal:  Cancer Discov       Date:  2021-04       Impact factor: 39.397

Review 9.  Circulating extracellular vesicles are effective biomarkers for predicting response to cancer therapy.

Authors:  E Zhou; Yumei Li; Feng Wu; Mengfei Guo; Juanjuan Xu; Sufei Wang; Qi Tan; Pei Ma; Siwei Song; Yang Jin
Journal:  EBioMedicine       Date:  2021-05-07       Impact factor: 8.143

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