Integrative Molecular Analysis of DNA Methylation Dynamics Unveils Molecules with Prognostic Potential in Breast Cancer

Author:

Mehmood Rashid1,Alsaleh Alanoud1,Want Muzamil Y.2,Ahmad Ijaz3,Siraj Sami4,Ishtiaq Muhammad5,Alshehri Faizah A.6,Naseem Muhammad78,Yasuhara Noriko9

Affiliation:

1. Department of Life Sciences, College of Science and General Studies, Alfaisal University, Riyadh 11533, Saudi Arabia

2. Department of Immunology, Division of Translational Immuno-Oncology, Roswell Park Comprehensive Cancer Center, New York, NY 14203, USA

3. Department of Plant Breeding and Genetics, The University of Agriculture, Peshawar 25130, Pakistan

4. Institute of Basic Medical Sciences, Khyber Medical University, Peshawar 25120, Pakistan

5. Department of Biostatistics, School of Public Health, The University of Michigan, Ann Arbor, MI 48109, USA

6. Office of Research, Innovation, and Graduate Studies, Alfaisal University, Riyadh 11533, Saudi Arabia

7. Department of Life and Environmental Sciences, College of Health and Natural Sciences, Zayed University, Abu Dhabi 144534, United Arab Emirates

8. Department of Bioinformatics, Biocenter, University of Würzburg, Am Hubland, 97074 Wuerzburg, Germany

9. Graduate School of Integrated Basic Sciences, Nihon University, Setagaya-ku, Tokyo 156-8550, Japan

Abstract

DNA methylation acts as a major epigenetic modification in mammals, characterized by the transfer of a methyl group to a cytosine. DNA methylation plays a pivotal role in regulating normal development, and misregulation in cells leads to an abnormal phenotype as is seen in several cancers. Any mutations or expression anomalies of genes encoding regulators of DNA methylation may lead to abnormal expression of critical molecules. A comprehensive genomic study encompassing all the genes related to DNA methylation regulation in relation to breast cancer is lacking. We used genomic and transcriptomic datasets from the Cancer Genome Atlas (TGCA) Pan-Cancer Atlas, Genotype-Tissue Expression (GTEx) and microarray platforms and conducted in silico analysis of all the genes related to DNA methylation with respect to writing, reading and erasing this epigenetic mark. Analysis of mutations was conducted using cBioportal, while Xena and KMPlot were utilized for expression changes and patient survival, respectively. Our study identified multiple mutations in the genes encoding regulators of DNA methylation. The expression profiling of these showed significant differences between normal and disease tissues. Moreover, deregulated expression of some of the genes, namely DNMT3B, MBD1, MBD6, BAZ2B, ZBTB38, KLF4, TET2 and TDG, was correlated with patient prognosis. The current study, to our best knowledge, is the first to provide a comprehensive molecular and genetic profile of DNA methylation machinery genes in breast cancer and identifies DNA methylation machinery as an important determinant of the disease progression. The findings of this study will advance our understanding of the etiology of the disease and may serve to identify alternative targets for novel therapeutic strategies in cancer.

Funder

Alfaisal University

Publisher

MDPI AG

Subject

Management Science and Operations Research,Mechanical Engineering,Energy Engineering and Power Technology

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