论文已发表
注册即可获取德孚的最新动态
IF 收录期刊
Authors Zhou Q, Hou CN, Yang HJ, He Z, Zuo MZ
Received 13 August 2018
Accepted for publication 16 November 2018
Published 13 December 2018 Volume 2018:10 Pages 6937—6948
DOI https://doi.org/10.2147/CMAR.S183769
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Amy Norman
Peer reviewer comments 1
Editor who approved publication: Dr Rituraj Purohit
Background: Increased
aberrant expression or activation of the epidermal growth factor receptor (EGFR ) family
members has been reported in a wide range of cancers, and the EGFR family of
tyrosine kinases has emerged as an important therapeutic target in
malignancies. However, the expression patterns and exact roles of each distinct EGFR family
member, which contribute to tumorigenesis and progression of ovarian cancer
(OC), are yet to be elucidated.
Materials and methods: In the
current study, we report the distinct expression and prognostic value of EGFR family
members in patients with OC by analyzing a series of databases including
ONCOMINE, Gene Expression Profiling Interactive Analysis , Kaplan–Meier
plotter, cBioPortal, and Database for Annotation, Visualization and Integrated
Discovery.
Results: It was
found that in patients with OC, mRNA expression levels of ERBB2/3/4 were
significantly upregulated, whereas the transcription levels of EGFR were
downregulated. Aberrant EGFR expression and ERBB2/3/4 mRNA
levels were associated with OC prognosis.
Conclusion: These results
suggest that EGFR and ERBB3/4 are distinct prognostic biomarkers and
may be potential targets for OC. These results may be beneficial to better
understand the molecular underpinning of OC and may be useful to develop tools
for more accurate OC prognosis and for promoting the development of
EGFR-targeted inhibitors for OC treatment.
Keywords: EGFR,
ovarian cancer, database mining, prognostic value, bioinformatics analysis
