Literature DB >> 27581627

Role of E542 and E545 missense mutations of PIK3CA in breast cancer: a comparative computational approach.

D Thirumal Kumar1, C George Priya Doss1.   

Abstract

Recent statistics describe breast cancer as the leading cause of death among women across the world with varied causes and reasons. Lifestyle, diet, genetic and environmental factors introduce their generous contributions towards breast cancer, among which genetic factors have lately become one of the most important aspects in understanding the mechanism. Although various genes have already been reported in causing breast cancer, PIK3CA stands second on the list. Mutations observed in this gene have the ability to trigger the different activities of the cell, thereby bypassing the regular cellular cycle. Among the mutations in PIK3CA, three hotspot mutations were commonly reported, one in the catalytic domain (position HIS1047) and other two in the helical domain (position GLU542 and GLU545). In the helical domain of PIK3CA, the lysine substitution at 542-545 positions was significantly studied in causing breast cancer. To compare the deleterious effect of these mutations, in silico prediction tools along with molecular dynamics simulations and molecular docking approach was initiated to analyse the change in binding landscape upon mutation. In this comparative analysis, we report that the mere existence of mutant E545K can trigger the function of the protein but may not be as harmful as H1047R. Among the two mutations E542K and E545K, the latter shows the most deleterious effect that correlates with the previous reported experimental studies. We assume the results observed in this combinatorial computational study might further pave a better way for providing better treatment procedures.

Entities:  

Keywords:  E542K; E545K; PIK3CA; breast cancer; helical domain; molecular docking; molecular dynamics simulation; single nucleotide polymorphisms; wortmannin

Mesh:

Substances:

Year:  2016        PMID: 27581627     DOI: 10.1080/07391102.2016.1231082

Source DB:  PubMed          Journal:  J Biomol Struct Dyn        ISSN: 0739-1102


  10 in total

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4.  Computational approach to unravel the impact of missense mutations of proteins (D2HGDH and IDH2) causing D-2-hydroxyglutaric aciduria 2.

Authors:  D Thirumal Kumar; L Jerushah Emerald; C George Priya Doss; P Sneha; R Siva; W Charles Emmanuel Jebaraj; Hatem Zayed
Journal:  Metab Brain Dis       Date:  2018-07-09       Impact factor: 3.655

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7.  The distinct clinicopathological and prognostic implications of PIK3CA mutations in breast cancer patients from Central China.

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8.  Prevalence and prognostic role of PIK3CA E545K mutation in Iranian colorectal cancer patients.

Authors:  Reza Ranjbar; Somayeh Mohammadpour; Amir Torshizi Esfahani; Sina Namazian; Mohammad Yaghob-Taleghani; Kaveh Baghaei; Seyed Abdolreza Mortazavi Tabatabaei; Leila Pasharavesh; Ehsan Nazemalhosseini-Mojarad
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9.  Mutational Landscape of PI3K-AKT-mTOR Pathway in Breast Cancer: Implications for Targeted Therapeutics.

Authors:  Weikai Xiao; Guochun Zhang; Bo Chen; Xiaoqing Chen; Lingzhu Wen; Jianguo Lai; Xuerui Li; Min Li; Hao Liu; Jing Liu; Han Han-Zhang; Analyn Lizaso; Ning Liao
Journal:  J Cancer       Date:  2021-05-27       Impact factor: 4.207

10.  Clinical-Pathologic Analysis of Breast Cancer With PIK3CA Mutations in Chinese Women.

Authors:  Jing Lian; En-Wei Xu; Yan-Feng Xi; Hui-Wen Wang; Peng Bu; Jin-Fen Wang; Li-Xia Wang
Journal:  Technol Cancer Res Treat       Date:  2020 Jan-Dec
  10 in total

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