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Prognostic Stratification of GBMs Using Combinatorial Assessment of IDH1 Mutation, MGMT Promoter Methylation, and TERT Mutation Status: Experience from a Tertiary Care Center in India()
This study aims to establish the best and simplified panel of molecular markers for prognostic stratification of glioblastomas (GBMs). One hundred fourteen cases of GBMs were studied for IDH1, TP53, and TERT mutation by Sanger sequencing; EGFR and PDGFRA amplification by fluorescence in situ hybridi...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Neoplasia Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5006811/ https://www.ncbi.nlm.nih.gov/pubmed/27567961 http://dx.doi.org/10.1016/j.tranon.2016.06.005 |
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author | Purkait, Suvendu Mallick, Supriya Sharma, Vikas Kumar, Anupam Pathak, Pankaj Jha, Prerana Biswas, Ahitagni Julka, Pramod Kumar Gupta, Deepak Suri, Ashish Datt Upadhyay, Ashish Suri, Vaishali Sharma, Mehar C Sarkar, Chitra |
author_facet | Purkait, Suvendu Mallick, Supriya Sharma, Vikas Kumar, Anupam Pathak, Pankaj Jha, Prerana Biswas, Ahitagni Julka, Pramod Kumar Gupta, Deepak Suri, Ashish Datt Upadhyay, Ashish Suri, Vaishali Sharma, Mehar C Sarkar, Chitra |
author_sort | Purkait, Suvendu |
collection | PubMed |
description | This study aims to establish the best and simplified panel of molecular markers for prognostic stratification of glioblastomas (GBMs). One hundred fourteen cases of GBMs were studied for IDH1, TP53, and TERT mutation by Sanger sequencing; EGFR and PDGFRA amplification by fluorescence in situ hybridization; NF1expression by quantitative real time polymerase chain reaction (qRT-PCR); and MGMT promoter methylation by methylation-specific PCR. IDH1 mutant cases had significantly longer progression-free survival (PFS) and overall survival (OS) as compared to IDH1 wild-type cases. Combinatorial assessment of MGMT and TERT emerged as independent prognostic markers, especially in the IDH1 wild-type GBMs. Thus, within the IDH1 wild-type group, cases with only MGMT methylation (group 1) had the best outcome (median PFS: 83.3 weeks; OS: not reached), whereas GBMs with only TERT mutation (group 3) had the worst outcome (PFS: 19.7 weeks; OS: 32.8 weeks). Cases with both or none of these alterations (group 2) had intermediate prognosis (PFS: 47.6 weeks; OS: 89.2 weeks). Majority of the IDH1 mutant GBMs belonged to group 1 (75%), whereas only 18.7% and 6.2% showed group 2 and 3 signatures, respectively. Interestingly, none of the other genetic alterations were significantly associated with survival in IDH1 mutant or wild-type GBMs. Based on above findings, we recommend assessment of three markers, viz., IDH1, MGMT, and TERT, for GBM prognostication in routine practice. We show for the first time that IDH1 wild-type GBMs which constitute majority of the GBMs can be effectively stratified into three distinct prognostic subgroups based on MGMT and TERT status, irrespective of other genetic alterations. |
format | Online Article Text |
id | pubmed-5006811 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Neoplasia Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-50068112016-09-12 Prognostic Stratification of GBMs Using Combinatorial Assessment of IDH1 Mutation, MGMT Promoter Methylation, and TERT Mutation Status: Experience from a Tertiary Care Center in India() Purkait, Suvendu Mallick, Supriya Sharma, Vikas Kumar, Anupam Pathak, Pankaj Jha, Prerana Biswas, Ahitagni Julka, Pramod Kumar Gupta, Deepak Suri, Ashish Datt Upadhyay, Ashish Suri, Vaishali Sharma, Mehar C Sarkar, Chitra Transl Oncol Original article This study aims to establish the best and simplified panel of molecular markers for prognostic stratification of glioblastomas (GBMs). One hundred fourteen cases of GBMs were studied for IDH1, TP53, and TERT mutation by Sanger sequencing; EGFR and PDGFRA amplification by fluorescence in situ hybridization; NF1expression by quantitative real time polymerase chain reaction (qRT-PCR); and MGMT promoter methylation by methylation-specific PCR. IDH1 mutant cases had significantly longer progression-free survival (PFS) and overall survival (OS) as compared to IDH1 wild-type cases. Combinatorial assessment of MGMT and TERT emerged as independent prognostic markers, especially in the IDH1 wild-type GBMs. Thus, within the IDH1 wild-type group, cases with only MGMT methylation (group 1) had the best outcome (median PFS: 83.3 weeks; OS: not reached), whereas GBMs with only TERT mutation (group 3) had the worst outcome (PFS: 19.7 weeks; OS: 32.8 weeks). Cases with both or none of these alterations (group 2) had intermediate prognosis (PFS: 47.6 weeks; OS: 89.2 weeks). Majority of the IDH1 mutant GBMs belonged to group 1 (75%), whereas only 18.7% and 6.2% showed group 2 and 3 signatures, respectively. Interestingly, none of the other genetic alterations were significantly associated with survival in IDH1 mutant or wild-type GBMs. Based on above findings, we recommend assessment of three markers, viz., IDH1, MGMT, and TERT, for GBM prognostication in routine practice. We show for the first time that IDH1 wild-type GBMs which constitute majority of the GBMs can be effectively stratified into three distinct prognostic subgroups based on MGMT and TERT status, irrespective of other genetic alterations. Neoplasia Press 2016-08-24 /pmc/articles/PMC5006811/ /pubmed/27567961 http://dx.doi.org/10.1016/j.tranon.2016.06.005 Text en © 2016 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original article Purkait, Suvendu Mallick, Supriya Sharma, Vikas Kumar, Anupam Pathak, Pankaj Jha, Prerana Biswas, Ahitagni Julka, Pramod Kumar Gupta, Deepak Suri, Ashish Datt Upadhyay, Ashish Suri, Vaishali Sharma, Mehar C Sarkar, Chitra Prognostic Stratification of GBMs Using Combinatorial Assessment of IDH1 Mutation, MGMT Promoter Methylation, and TERT Mutation Status: Experience from a Tertiary Care Center in India() |
title | Prognostic Stratification of GBMs Using Combinatorial Assessment of IDH1 Mutation, MGMT Promoter Methylation, and TERT Mutation Status: Experience from a Tertiary Care Center in India() |
title_full | Prognostic Stratification of GBMs Using Combinatorial Assessment of IDH1 Mutation, MGMT Promoter Methylation, and TERT Mutation Status: Experience from a Tertiary Care Center in India() |
title_fullStr | Prognostic Stratification of GBMs Using Combinatorial Assessment of IDH1 Mutation, MGMT Promoter Methylation, and TERT Mutation Status: Experience from a Tertiary Care Center in India() |
title_full_unstemmed | Prognostic Stratification of GBMs Using Combinatorial Assessment of IDH1 Mutation, MGMT Promoter Methylation, and TERT Mutation Status: Experience from a Tertiary Care Center in India() |
title_short | Prognostic Stratification of GBMs Using Combinatorial Assessment of IDH1 Mutation, MGMT Promoter Methylation, and TERT Mutation Status: Experience from a Tertiary Care Center in India() |
title_sort | prognostic stratification of gbms using combinatorial assessment of idh1 mutation, mgmt promoter methylation, and tert mutation status: experience from a tertiary care center in india() |
topic | Original article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5006811/ https://www.ncbi.nlm.nih.gov/pubmed/27567961 http://dx.doi.org/10.1016/j.tranon.2016.06.005 |
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