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Assessment of epigenetic alterations and in silico analysis of mutation affecting PTEN expression among Indian cervical cancer patients
Authors:Afreen Naseem  Zafar Iqbal Bhat  Ponnusamy Kalaiarasan  Bhupender Kumar  Zubair Bin Hafeez  Raj Ranjan Tiwari  Khushnuma Wahabi  Gauri Gandhi  M Moshahid Alam Rizvi
Institution:1. Genome Biology Laboratory, Department of Biosciences, Jamia Millia Islamia, New Delhi, India;2. School of Biotechnology, Jawaharlal Nehru University, Delhi, India;3. Department of Biochemistry, Institute of Home Economics, University of Delhi, Delhi, India;4. Department of Obstetrics & Gynecology, LNJP/MAMC Campus, New Delhi, India
Abstract:Genetic and epigenetic anomalies accountable for genetic dysregulation are the most common aberrations that determine the underlying heterogeneity of the tumor cells. Currently, phosphatase and tensin homolog (PTEN) incongruity has emerged as potent and persuasive malfunctioning in varied human malignancies. In this study, we have analysed the promoter hypermethylation and expression status of PTEN. We identified different mutations in the exonic region of PTEN. Functional consequences of these mutations were explored using in silico techniques. Promoter hypermethylation of PTEN was detected using methylation-specific polymerase chain reaction (MS-PCR), expression analysis was performed with immunohistochemistry (IHC) and mutation by direct sequencing in a total of 168 uterine cervix tumor cases. The findings were statistically correlated with the clinical parameters. In addition, the effect of nonsynonymous mutations was studied with molecular dynamics simulations. PTEN promoter hypermethylation (45.8%) was found to be significantly associated with the of PTEN loss (57.14%, P < 0.0001). Tumor stages, tumor size, lymph node (LN) were found to be significantly correlated with both PTEN promoter hypermethylation and PTEN loss. Histological grade, however, showed a significant association with only PTEN loss. In total, 11.76% of tumors exhibited mutations in exon 5 and 7, out of which E150K of exon 5 showed the highest deviations in the crystal structure of PTEN by in silico analysis. This study provides valuable insights into oncology and paves the path in the development of efficient biomarker and/or imperative therapeutic tool for cervical cancer treatment.
Keywords:cervical cancer  epidermal growth factor receptor  molecular dynamics simulations  promoter hypermethylation  phosphatase and tensin homolog
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