Literature DB >> 30391474

Liquid biopsy in ovarian cancer: the potential of circulating miRNAs and exosomes.

Lydia Giannopoulou1, Martha Zavridou1, Sabine Kasimir-Bauer2, Evi S Lianidou3.   

Abstract

Ovarian cancer still remains the most lethal female cancer, since in most cases it is diagnosed at an advanced stage. Usually after completion of primary treatment chemoresistance occurs, and recurrent disease is finally observed. Liquid biopsy, based on minimally invasive and serial blood tests, has the advantage of following tumor evolution in real time, offering novel insights on precision medicine. Circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), circulating cell-free microRNAs (cfmiRNAs) and circulating exosomes represent the major components of liquid biopsy analysis. Liquid biopsy has been already implemented in ovarian cancer, and most studies so far are mainly focused on CTCs and ctDNA. This review is mainly focused on the clinical potential of circulating miRNAs and exosomes as a source of liquid biopsy biomarkers in ovarian cancer diagnosis, prognosis, and response to treatment.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  AUC = area under curve; CNV = copy number variations; CTCs = circulating tumor cells; EMT = epithelial-to-mesenchymal transition; EVs = extracellular vesicles; HGSC = high-grade serous ovarian cancer; LOH = loss of heterozygosity; NGS = next-generation sequencing; OS = overall survival; PARP = poly ADP-ribose polymerase; PFS = progression-free survival; ROC = receiver operating characteristic; cfDNA = cell-free DNA; cfmiRNAs = cell-free microRNAs; ctDNA = circulating tumor DNA; ddPCR = droplet digital PCR; snRNA = small nuclear RNA

Mesh:

Substances:

Year:  2018        PMID: 30391474     DOI: 10.1016/j.trsl.2018.10.003

Source DB:  PubMed          Journal:  Transl Res        ISSN: 1878-1810            Impact factor:   7.012


  35 in total

Review 1.  Recent Advances in the Label-Free Characterization of Exosomes for Cancer Liquid Biopsy: From Scattering and Spectroscopy to Nanoindentation and Nanodevices.

Authors:  Riccardo Di Santo; Sabrina Romanò; Alberto Mazzini; Svetlana Jovanović; Giuseppina Nocca; Gaetano Campi; Massimiliano Papi; Marco De Spirito; Flavio Di Giacinto; Gabriele Ciasca
Journal:  Nanomaterials (Basel)       Date:  2021-06-02       Impact factor: 5.076

Review 2.  The Role of Non-coding RNAs in Oncology.

Authors:  Frank J Slack; Arul M Chinnaiyan
Journal:  Cell       Date:  2019-11-14       Impact factor: 41.582

Review 3.  Ovarian cancer recurrence: is the definition of platinum resistance modified by PARPi and other intervening treatments? The evolving landscape in the management of platinum-resistant ovarian cancer.

Authors:  Michael J Flynn; Jonathan A Ledermann
Journal:  Cancer Drug Resist       Date:  2022-05-12

Review 4.  Using single-vesicle technologies to unravel the heterogeneity of extracellular vesicles.

Authors:  Guillermo Bordanaba-Florit; Félix Royo; Sergei G Kruglik; Juan M Falcón-Pérez
Journal:  Nat Protoc       Date:  2021-06-16       Impact factor: 13.491

5.  Joint IARC/NCI International Cancer Seminar Series Report: expert consensus on future directions for ovarian carcinoma research.

Authors:  Shama Virani; Glauco Baiocchi; David Bowtell; Citadel J Cabasag; Kathleen R Cho; Renée T Fortner; Keiichi Fujiwara; Jae-Weon Kim; Martin Köbel; Jean-Emmanuel Kurtz; Douglas A Levine; Usha Menon; Barbara M Norquist; Paul D P Pharoah; Anil K Sood; Shelley T Tworoger; Nicolas Wentzensen; Stephen J Chanock; Paul Brennan; Britton Trabert
Journal:  Carcinogenesis       Date:  2021-06-21       Impact factor: 4.944

Review 6.  Liquid biopsy in ovarian cancer: recent advances in circulating extracellular vesicle detection for early diagnosis and monitoring progression.

Authors:  Lei Chang; Jie Ni; Ying Zhu; Bairen Pang; Peter Graham; Hao Zhang; Yong Li
Journal:  Theranostics       Date:  2019-05-31       Impact factor: 11.556

Review 7.  Roles of Extracellular HSPs as Biomarkers in Immune Surveillance and Immune Evasion.

Authors:  Eman A Taha; Kisho Ono; Takanori Eguchi
Journal:  Int J Mol Sci       Date:  2019-09-17       Impact factor: 5.923

Review 8.  Plasmonic Sensors for Extracellular Vesicle Analysis: From Scientific Development to Translational Research.

Authors:  Lip Ket Chin; Taehwang Son; Jae-Sang Hong; Ai-Qun Liu; Johan Skog; Cesar M Castro; Ralph Weissleder; Hakho Lee; Hyungsoon Im
Journal:  ACS Nano       Date:  2020-10-29       Impact factor: 15.881

Review 9.  Current Search through Liquid Biopsy of Effective Biomarkers for Early Cancer Diagnosis into the Rich Cargoes of Extracellular Vesicles.

Authors:  Irène Tatischeff
Journal:  Int J Mol Sci       Date:  2021-05-26       Impact factor: 5.923

10.  Improved cardiovascular risk prediction in patients with end-stage renal disease on hemodialysis using machine learning modeling and circulating microribonucleic acids.

Authors:  David de Gonzalo-Calvo; Pablo Martínez-Camblor; Christian Bär; Kevin Duarte; Nicolas Girerd; Bengt Fellström; Roland E Schmieder; Alan G Jardine; Ziad A Massy; Hallvard Holdaas; Patrick Rossignol; Faiez Zannad; Thomas Thum
Journal:  Theranostics       Date:  2020-07-09       Impact factor: 11.556

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