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Integrative competing endogenous RNA network analyses identify novel lncRNA and genes implicated in metastatic breast cancer.

Abstract
Competing endogenous RNAs (ceRNAs) have gained attention in cancer research owing to their involvement in microRNA-mediated gene regulation. Previous studies have identified ceRNA networks of individual cancers. Nevertheless, none of these studies has investigated different cancer stages. We identify stage-specific ceRNAs in breast cancer using the cancer genome atlas data. Moreover, we investigate the molecular functions and prognostic ability of ceRNAs involved in stage I-IV networks. We identified differentially expressed candidate ceRNAs using edgeR and limma R packages. A three-step analysis was used to identify statistically significant ceRNAs of each stage. Survival analysis and functional enrichment analysis were conducted to identify molecular functions and prognostic ability. We found five genes and one long non-coding RNA unique to the stage IV ceRNA network. These genes have been described in previous breast cancer studies. Genes acted as ceRNAs are enriched in cancer-associated pathways. Two, three, and three microRNAs from stages I, II, and III were prognostic from the Kaplan-Meier survival analysis. Our results reveal a set of unique ceRNAs in metastatic breast cancer. Further experimental work is required to evaluate their role in metastasis. Moreover, identifying stage-specific ceRNAs will improve the understanding of personalised therapeutics in breast cancer.
AuthorsDulari K Jayarathna, Miguel E Rentería, Jyotsna Batra, Neha S Gandhi
JournalScientific reports (Sci Rep) Vol. 13 Issue 1 Pg. 2423 (02 10 2023) ISSN: 2045-2322 [Electronic] England
PMID36765262 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
Copyright© 2023. The Author(s).
Chemical References
  • MicroRNAs
  • RNA, Long Noncoding
Topics
  • Female
  • Humans
  • Breast Neoplasms (genetics, metabolism, secondary)
  • Gene Expression Regulation, Neoplastic (genetics)
  • Gene Regulatory Networks (genetics)
  • MicroRNAs (genetics, metabolism)
  • Prognosis
  • RNA, Long Noncoding (genetics, metabolism)

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