Spotlight on Exosomal Non-Coding RNAs in Breast Cancer: An In Silico Analysis to Identify Potential lncRNA/circRNA-miRNA-Target Axis

Int J Mol Sci. 2022 Jul 28;23(15):8351. doi: 10.3390/ijms23158351.

Abstract

Breast cancer (BC) has recently become the most common cancer type worldwide, with metastatic disease being the main reason for disease mortality. This has brought about strategies for early detection, especially the utilization of minimally invasive biomarkers found in various bodily fluids. Exosomes have been proposed as novel extracellular vesicles, readily detectable in bodily fluids, secreted from BC-cells or BC-tumor microenvironment cells, and capable of conferring cellular signals over long distances via various cargo molecules. This cargo is composed of different biomolecules, among which are the novel non-coding genome products, such as microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and the recently discovered circular RNA (circRNA), all of which were found to be implicated in BC pathology. In this review, the diverse roles of the ncRNA cargo of BC-derived exosomes will be discussed, shedding light on their primarily oncogenic and additionally tumor suppressor roles at different levels of BC tumor progression, and drug sensitivity/resistance, along with presenting their diagnostic, prognostic, and predictive biomarker potential. Finally, benefiting from the miRNA sponging mechanism of action of lncRNAs and circRNAs, we established an experimentally validated breast cancer exosomal non-coding RNAs-regulated target gene axis from already published exosomal ncRNAs in BC. The resulting genes, pathways, gene ontology (GO) terms, and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis could be a starting point to better understand BC and may pave the way for the development of novel diagnostic and prognostic biomarkers and therapeutics.

Keywords: biomarkers; breast cancer; circular RNAs; exosomes; long non-coding RNA; microRNAs; non-coding RNA.

Publication types

  • Review

MeSH terms

  • Breast Neoplasms* / genetics
  • Breast Neoplasms* / metabolism
  • Computational Biology / methods
  • Exosomes* / genetics
  • Exosomes* / metabolism
  • Female
  • Humans
  • MicroRNAs* / genetics
  • MicroRNAs* / metabolism
  • RNA, Circular / genetics
  • RNA, Long Noncoding* / genetics
  • RNA, Long Noncoding* / metabolism
  • Tumor Microenvironment

Substances

  • MicroRNAs
  • RNA, Circular
  • RNA, Long Noncoding