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Exosomal lncRNAs and cancer: connecting the missing links.
Naderi-Meshkin, Hojjat; Lai, Xin; Amirkhah, Raheleh; Vera, Julio; Rasko, John E J; Schmitz, Ulf.
Afiliação
  • Naderi-Meshkin H; Stem Cells & Regenerative Medicine Research Group, Academic Center for Education, Culture Research (ACECR), Khorasan Razavi Branch, Mashhad, Iran.
  • Lai X; Nastaran Center for Cancer Prevention, Mashhad, Iran.
  • Amirkhah R; Laboratory of Systems Tumour Immunology, Department of Dermatology, Friedrich-Alexander-University of Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany.
  • Vera J; Nastaran Center for Cancer Prevention, Mashhad, Iran.
  • Rasko JEJ; Reza Institute of Cancer Bioinformatics and Personalized Medicine, Mashhad, Iran.
  • Schmitz U; Laboratory of Systems Tumour Immunology, Department of Dermatology, Friedrich-Alexander-University of Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany.
Bioinformatics ; 35(2): 352-360, 2019 01 15.
Article em En | MEDLINE | ID: mdl-30649349
Motivation: Extracellular vesicles (EVs), including exosomes and microvesicles, are potent and clinically valuable tools for early diagnosis, prognosis and potentially the targeted treatment of cancer. The content of EVs is closely related to the type and status of the EV-secreting cell. Circulating exosomes are a source of stable RNAs including mRNAs, microRNAs and long non-coding RNAs (lncRNAs). Results: This review outlines the links between EVs, lncRNAs and cancer. We highlight communication networks involving the tumor microenvironment, the immune system and metastasis. We show examples supporting the value of exosomal lncRNAs as cancer biomarkers and therapeutic targets. We demonstrate how a system biology approach can be used to model cell-cell communication via exosomal lncRNAs and to simulate effects of therapeutic interventions. In addition, we introduce algorithms and bioinformatics resources for the discovery of tumor-specific lncRNAs and tools that are applied to determine exosome content and lncRNA function. Finally, this review provides a comprehensive collection and guide to databases for exosomal lncRNAs. Supplementary information: Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Exossomos / RNA Longo não Codificante / Neoplasias Tipo de estudo: Screening_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Exossomos / RNA Longo não Codificante / Neoplasias Tipo de estudo: Screening_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article