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http://dx.doi.org/10.5483/BMBRep.2021.54.10.087

Prognostic role of EGR1 in breast cancer: a systematic review  

Saha, Subbroto Kumar (Department of Stem Cell and Regenerative Biotechnology, Konkuk University)
Islam, S.M. Riazul (Department of Computer Science and Engineering, Sejong University)
Saha, Tripti (Department of Stem Cell and Regenerative Biotechnology, Konkuk University)
Nishat, Afsana (Department of Microbiology & Cell Science, University of Florida)
Biswas, Polash Kumar (Department of Stem Cell and Regenerative Biotechnology, Konkuk University)
Gil, Minchan (Department of Stem Cell and Regenerative Biotechnology, Konkuk University)
Nkenyereye, Lewis (Department of Computer and Information Security, Sejong University)
El-Sappagh, Shaker (Centro Singular de Investigacion en Tecnoloxías Intelixentes (CiTIUS), Universidade de Santiago de Compostela)
Islam, Md. Saiful (School of Information and Communication Technology, Griffith University)
Cho, Ssang-Goo (Department of Stem Cell and Regenerative Biotechnology, Konkuk University)
Publication Information
BMB Reports / v.54, no.10, 2021 , pp. 497-504 More about this Journal
Abstract
EGR1 (early growth response 1) is dysregulated in many cancers and exhibits both tumor suppressor and promoter activities, making it an appealing target for cancer therapy. Here, we used a systematic multi-omics analysis to review the expression of EGR1 and its role in regulating clinical outcomes in breast cancer (BC). EGR1 expression, its promoter methylation, and protein expression pattern were assessed using various publicly available tools. COSMIC-based somatic mutations and cBioPortal-based copy number alterations were analyzed, and the prognostic roles of EGR1 in BC were determined using Prognoscan and Kaplan-Meier Plotter. We also used bc-GenEx-Miner to investigate the EGR1 co-expression profile. EGR1 was more often downregulated in BC tissues than in normal breast tissue, and its knockdown was positively correlated with poor survival. Low EGR1 expression levels were also associated with increased risk of ER+, PR+, and HER2- BCs. High positive correlations were observed among EGR1, DUSP1, FOS, FOSB, CYR61, and JUN mRNA expression in BC tissue. This systematic review suggested that EGR1 expression may serve as a prognostic marker for BC patients and that clinicopathological parameters influence its prognostic utility. In addition to EGR1, DUSP1, FOS, FOSB, CYR61, and JUN can jointly be considered prognostic indicators for BC.
Keywords
Breast cancer; Cancer progression; EGR1; Methylation; Microarray; Prognosis; TCGA; Tumor suppressor;
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