Computational assessment of MCM2 transcriptional expression and identification of the prognostic biomarker for human breast cancer

Heliyon

Foysal Ahammad¹  Rahat Alam²  Mohammad Habibur Rahman Molla³  Md Raquibul Islam³  Farhana Haque⁴  Zulkar Nain⁵  Abdus Samad⁶  Md Abdullah Al Noman⁶  Md Saddam Hossen⁶  Md Iqbal Khan⁷ 

[1] Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah, 21589, Saudi Arabia;Department of Biotechnology and Genetic Engineering, Faculty of Biological Sciences, Islamic University, Kushtia, 7003, Bangladesh;Molecular and Cellular Biology Laboratory, Jashore University of Science and Technology, Jashore, 7408, Bangladesh;Department of Biotechnology and Genetic Engineering, Khulna University, Khulna, 9208, Bangladesh;Department of Genetic Engineering and Biotechnology, Faculty of Sciences and Engineering, East West University, Dhaka, 1212, Bangladesh;Department of Genetic Engineering and Biotechnology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh;Institute of Marine Sciences and Fisheries, University of Chittagong, Chittagong, 4331, Bangladesh;

关键词: Data analysis;    Information retrieval;    Computational chemistry;    Computational biology;    Bioinformatics;    Biocomputational method;   

DOI  :  

来源: DOAJ

【 摘 要 】

Minichromosome maintenance protein 2 (MCM2) is a highly conserved protein from the MCM protein family that plays an important role in eukaryotic DNA replication as well as in cell cycle progression. In addition, it maintains the ploidy level consistency in eukaryotic cells, hence, mutations or alteration of this protein could result in the disintegration of the fine-tuned molecular machinery that can lead to uncontrolled cell proliferation. Moreover, MCM2 has been found to be an important marker for progression and prognosis in different cancers. Therefore, we aimed to analyze the MCM2 expression and the associated outcome in breast cancer (BC) patients based on the publicly available online databases. In this study, server-based gene expression analyses indicate the upregulation of MCM2 (p < 10−6; fold change>2.0) in various BC subtypes as compared to the respective normal tissues. Besides, the evaluation of histological sections from healthy and cancer tissues showed strong staining signals indicating higher expression of MCM2 protein. The overexpression of MCM2 was significantly correlated to promoter methylation and was related to patients' clinical features. Further, mutation analysis suggested missense as the predominant type of mutation (71.4%) with 18 copy-number alterations and 0.2% mutation frequency in the MCM2 gene. This study revealed a significant correlation (Cox p ≤ 0.05) between the higher MCM2 expression and lower patient survival. Finally, we identified the co-expressed genes with gene ontological features and signaling pathways associated in BC development. We believe that this study will provide a basis for MCM2 to be a significant biomarker for human BC prognosis.

【 授权许可】

Unknown