Exosomal lncRNAs and cancer: Connecting the missing links
Naderi-Meshkin, Hojjat, Lai, Xin, Amirkhah, Raheleh, Vera, Julio, Rasko, John E.J., and Schmitz, Ulf (2019) Exosomal lncRNAs and cancer: Connecting the missing links. Bioinformatics, 35 (2). pp. 352-360.
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Abstract
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.
| Item ID: | 68979 |
|---|---|
| Item Type: | Article (Research - C1) |
| ISSN: | 1367-4811 |
| Copyright Information: | © The Author(s) (2018). Published by Oxford University Press. All rights reserved. |
| Date Deposited: | 16 Jun 2022 03:36 |
| FoR Codes: | 31 BIOLOGICAL SCIENCES > 3101 Biochemistry and cell biology > 310114 Systems biology @ 33% 32 BIOMEDICAL AND CLINICAL SCIENCES > 3211 Oncology and carcinogenesis > 321109 Predictive and prognostic markers @ 34% 31 BIOLOGICAL SCIENCES > 3102 Bioinformatics and computational biology > 310208 Translational and applied bioinformatics @ 33% |
| SEO Codes: | 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280103 Expanding knowledge in the biomedical and clinical sciences @ 50% 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280102 Expanding knowledge in the biological sciences @ 50% |
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