Prognostic role of EGR1 in breast cancer: a systematic review.


Journal

BMB reports
ISSN: 1976-670X
Titre abrégé: BMB Rep
Pays: Korea (South)
ID NLM: 101465334

Informations de publication

Date de publication:
Oct 2021
Historique:
received: 07 07 2021
pubmed: 8 9 2021
medline: 4 2 2022
entrez: 7 9 2021
Statut: ppublish

Résumé

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. [BMB Reports 2021; 54(10): 497-504].

Identifiants

pubmed: 34488929
pii: 5402
pmc: PMC8560464

Substances chimiques

Biomarkers, Tumor 0
EGR1 protein, human 0
Early Growth Response Protein 1 0

Types de publication

Journal Article Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

497-504

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Auteurs

Subbroto Kumar Saha (SK)

Department of Stem Cell and Regenerative Biotechnology, Konkuk University, Seoul 05029, Korea.

S M Riazul Islam (SMR)

Department of Computer Science and Engineering, Sejong University, Seoul 05006, Korea.

Tripti Saha (T)

Department of Stem Cell and Regenerative Biotechnology, Konkuk University, Seoul 05029, Korea.

Afsana Nishat (A)

Department of Microbiology & Cell Science, University of Florida, Gainesville, FL 32611, USA.

Polash Kumar Biswas (PK)

Department of Stem Cell and Regenerative Biotechnology, Konkuk University, Seoul 05029, Korea.

Minchan Gil (M)

Department of Stem Cell and Regenerative Biotechnology, Konkuk University, Seoul 05029, Korea.

Lewis Nkenyereye (L)

Department of Computer and Information Security, Sejong University, Seoul 05006, Korea.

Shaker El-Sappagh (S)

Centro Singular de Investigación en Tecnoloxías Intelixentes (CiTIUS), Universidade de Santiago de Compostela, 15705 Santiago de Compostela, Spain.

Md Saiful Islam (MS)

School of Information and Communication Technology, Griffith University, QLD 4222, Australia.

Ssang-Goo Cho (SG)

Department of Stem Cell and Regenerative Biotechnology, Konkuk University, Seoul 05029, Korea.

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