In-silico analysis of EGFR-associated microRNA signature in cancer

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Epidermal growth factor receptor (EGFR) is often overexpressed or mutated in human carcinomas. The EGFR signaling pathway plays a vital role in regulation of cell proliferation and apoptosis. At the moment the existing anticancer drugs for EGFR are limited or not effective. It is important to develop novel approaches to inhibiting the expression of EGFR and its signaling pathway. Recently, researchers have considered investigating EGFR down-regulation by microRNAs (miRNAs), single-stranded noncoding RNA molecules with about 22 nucleotides long. In this study, in-silico strategies were used to identify an eight-EGFR-associated-miRNA signature. We also studied the association of this miRNA signature and the directly interacting partners of EGFR. We investigated the functional role of this miRNA signature using the multiple linear regression analysis based on the expression profiles between mRNAs and their corresponding miRNAs, to verify if the regression coefficients would implicate the functional miRNA-mRNA relationships. The results showed that four potential miRNAs (miR-27a, miR-155, miR-27b and miR-7) positively or negatively associated with the expression of EGFR and its interacting partner PIK3CA were found in the cancer group, but not in the normal group. Our findings will contribute to the exploration of cancer mechanisms, as well as identification of cancer treatment targets and diagnostic markers.
Original languageEnglish
Title of host publicationProceedings - 2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013
Pages7-12
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2013
Event2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013 - Shanghai, China
Duration: 18 Dec 201321 Dec 2013

Conference

Conference2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013
CountryChina
CityShanghai
Period18/12/1321/12/13

Keywords

  • EGFR
  • EGFR signaling pathway
  • miRNA
  • multiple linear regression

ASJC Scopus subject areas

  • Biomedical Engineering

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