Computational Analysis of , and Mutations in Low-Grade Gliomas Including Oligodendrogliomas and Astrocytomas

Introduction: The emergence of new omics approaches, such as genomic algorithms to identify tumor mutations and molecular modeling tools to predict the three-dimensional structure of proteins, has facilitated the understanding of the dynamic mechanisms involved in the pathogenesis of low-grade gliom...

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Main Authors: Mohammed Amine Bendahou, Housna Arrouchi, Wiame Lakhlili, Loubna Allam, Tarik Aanniz, Nadia Cherradi, Azeddine Ibrahimi, Mahjouba Boutarbouch
Format: Article
Language:English
Published: SAGE Publishing 2020-04-01
Series:Cancer Informatics
Online Access:https://doi.org/10.1177/1176935120915839
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spelling doaj-5337b8777977441093adbd1980dcc9262020-11-25T03:24:10ZengSAGE PublishingCancer Informatics1176-93512020-04-011910.1177/1176935120915839Computational Analysis of , and Mutations in Low-Grade Gliomas Including Oligodendrogliomas and AstrocytomasMohammed Amine Bendahou0Housna Arrouchi1Wiame Lakhlili2Loubna Allam3Tarik Aanniz4Nadia Cherradi5Azeddine Ibrahimi6Mahjouba Boutarbouch7Medical Biotechnology Laboratory (MedBiotech), BioInova Research Center, Medical and Pharmacy School, Mohammed V University Rabat, MoroccoMedical Biotechnology Laboratory (MedBiotech), BioInova Research Center, Medical and Pharmacy School, Mohammed V University Rabat, MoroccoMedical Biotechnology Laboratory (MedBiotech), BioInova Research Center, Medical and Pharmacy School, Mohammed V University Rabat, MoroccoMedical Biotechnology Laboratory (MedBiotech), BioInova Research Center, Medical and Pharmacy School, Mohammed V University Rabat, MoroccoMedical Biotechnology Laboratory (MedBiotech), BioInova Research Center, Medical and Pharmacy School, Mohammed V University Rabat, MoroccoDepartment of Pathological Anatomy, Hospital of Specialties, CHU Ibn Sina, Rabat, Medical and Pharmacy School, Mohammed V University Rabat, MoroccoMedical Biotechnology Laboratory (MedBiotech), BioInova Research Center, Medical and Pharmacy School, Mohammed V University Rabat, MoroccoDepartment of Neurosurgery, Hospital of Specialties, CHU Ibn Sina, Rabat, Medical and Pharmacy School, Mohammed V University Rabat, MoroccoIntroduction: The emergence of new omics approaches, such as genomic algorithms to identify tumor mutations and molecular modeling tools to predict the three-dimensional structure of proteins, has facilitated the understanding of the dynamic mechanisms involved in the pathogenesis of low-grade gliomas including oligodendrogliomas and astrocytomas. Methods: In this study, we targeted known mutations involved in low-grade gliomas, starting with the sequencing of genomic regions encompassing exon 4 of isocitrate dehydrogenase 1 ( IDH1 ) and isocitrate dehydrogenase 2 ( IDH2 ) and the four exons (5-6 and 7-8) of TP53 from 32 samples, followed by computational analysis to study the impact of these mutations on the structure and function of 3 proteins IDH1, IDH2 , and p53 . Results: We obtain a mutation that has an effect on the catalytic site of the protein IDH1 as R132H and on the catalytic site of the protein IDH2 as R172M. Other mutations at p53 have been identified as K305N, which is a pathogenic mutation; R175 H, which is a benign mutation; and R158G, which disrupts the structural conformation of the tumor suppressor protein. Conclusion: In low-grade gliomas, mutations in IDH1, IDH2 , and TP53 may be the key to tumor progression because they have an effect on the function of the protein such as mutations R132H in IDH1 and R172M in IDH2 , which change the function of the enzyme alpha-ketoglutarate, or R158G in TP53 , which affects the structure of the generated protein, thus their importance in understanding gliomagenesis and for more accurate diagnosis complementary to the anatomical pathology tests.https://doi.org/10.1177/1176935120915839
collection DOAJ
language English
format Article
sources DOAJ
author Mohammed Amine Bendahou
Housna Arrouchi
Wiame Lakhlili
Loubna Allam
Tarik Aanniz
Nadia Cherradi
Azeddine Ibrahimi
Mahjouba Boutarbouch
spellingShingle Mohammed Amine Bendahou
Housna Arrouchi
Wiame Lakhlili
Loubna Allam
Tarik Aanniz
Nadia Cherradi
Azeddine Ibrahimi
Mahjouba Boutarbouch
Computational Analysis of , and Mutations in Low-Grade Gliomas Including Oligodendrogliomas and Astrocytomas
Cancer Informatics
author_facet Mohammed Amine Bendahou
Housna Arrouchi
Wiame Lakhlili
Loubna Allam
Tarik Aanniz
Nadia Cherradi
Azeddine Ibrahimi
Mahjouba Boutarbouch
author_sort Mohammed Amine Bendahou
title Computational Analysis of , and Mutations in Low-Grade Gliomas Including Oligodendrogliomas and Astrocytomas
title_short Computational Analysis of , and Mutations in Low-Grade Gliomas Including Oligodendrogliomas and Astrocytomas
title_full Computational Analysis of , and Mutations in Low-Grade Gliomas Including Oligodendrogliomas and Astrocytomas
title_fullStr Computational Analysis of , and Mutations in Low-Grade Gliomas Including Oligodendrogliomas and Astrocytomas
title_full_unstemmed Computational Analysis of , and Mutations in Low-Grade Gliomas Including Oligodendrogliomas and Astrocytomas
title_sort computational analysis of , and mutations in low-grade gliomas including oligodendrogliomas and astrocytomas
publisher SAGE Publishing
series Cancer Informatics
issn 1176-9351
publishDate 2020-04-01
description Introduction: The emergence of new omics approaches, such as genomic algorithms to identify tumor mutations and molecular modeling tools to predict the three-dimensional structure of proteins, has facilitated the understanding of the dynamic mechanisms involved in the pathogenesis of low-grade gliomas including oligodendrogliomas and astrocytomas. Methods: In this study, we targeted known mutations involved in low-grade gliomas, starting with the sequencing of genomic regions encompassing exon 4 of isocitrate dehydrogenase 1 ( IDH1 ) and isocitrate dehydrogenase 2 ( IDH2 ) and the four exons (5-6 and 7-8) of TP53 from 32 samples, followed by computational analysis to study the impact of these mutations on the structure and function of 3 proteins IDH1, IDH2 , and p53 . Results: We obtain a mutation that has an effect on the catalytic site of the protein IDH1 as R132H and on the catalytic site of the protein IDH2 as R172M. Other mutations at p53 have been identified as K305N, which is a pathogenic mutation; R175 H, which is a benign mutation; and R158G, which disrupts the structural conformation of the tumor suppressor protein. Conclusion: In low-grade gliomas, mutations in IDH1, IDH2 , and TP53 may be the key to tumor progression because they have an effect on the function of the protein such as mutations R132H in IDH1 and R172M in IDH2 , which change the function of the enzyme alpha-ketoglutarate, or R158G in TP53 , which affects the structure of the generated protein, thus their importance in understanding gliomagenesis and for more accurate diagnosis complementary to the anatomical pathology tests.
url https://doi.org/10.1177/1176935120915839
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