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Clinical and NGS predictors of response to regorafenib in recurrent glioblastoma
Predictive factors for response to regorafenib in recurrent glioblastoma, IDH-wildtype, are scarcely recognized. The objective of this study was to identify molecular predictive factors for response to regorafenib using a clinically available platform. We analyzed a prospective cohort of 30 patients...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519741/ https://www.ncbi.nlm.nih.gov/pubmed/36171338 http://dx.doi.org/10.1038/s41598-022-20417-y |
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author | Chiesa, Silvia Mangraviti, Antonella Martini, Maurizio Cenci, Tonia Mazzarella, Ciro Gaudino, Simona Bracci, Serena Martino, Antonella Della Pepa, Giuseppe M. Offi, Martina Gessi, Marco Russo, Rosellina Martucci, Matia Beghella Bartoli, Francesco Larocca, Luigi M. Lauretti, Liverana Olivi, Alessandro Pallini, Roberto Balducci, Mario D’Alessandris, Quintino Giorgio |
author_facet | Chiesa, Silvia Mangraviti, Antonella Martini, Maurizio Cenci, Tonia Mazzarella, Ciro Gaudino, Simona Bracci, Serena Martino, Antonella Della Pepa, Giuseppe M. Offi, Martina Gessi, Marco Russo, Rosellina Martucci, Matia Beghella Bartoli, Francesco Larocca, Luigi M. Lauretti, Liverana Olivi, Alessandro Pallini, Roberto Balducci, Mario D’Alessandris, Quintino Giorgio |
author_sort | Chiesa, Silvia |
collection | PubMed |
description | Predictive factors for response to regorafenib in recurrent glioblastoma, IDH-wildtype, are scarcely recognized. The objective of this study was to identify molecular predictive factors for response to regorafenib using a clinically available platform. We analyzed a prospective cohort of 30 patients harboring recurrent glioblastoma, IDH-wildtype, and treated with regorafenib. Next-generation sequencing (NGS) analysis was performed on DNA extracted from paraffin-embedded tissues using a clinically available platform. Moreover, MGMT methylation and EGFRvIII expression analyses were performed. Six-month progression-free survival (PFS) was 30% and median overall survival (OS) was 7.5 months, in line with literature data. NGS analysis revealed a mutation in the EGFR pathway in 18% of cases and a mutation in the mitogen-activated protein-kinase (MAPK) pathway in 18% of cases. In the remaining cases, no mutations were detected. Patients carrying MAPK pathway mutation had a poor response to regorafenib treatment, with a significantly shorter PFS and a nonsignificantly shorter OS compared to EGFR-mutated patients (for PFS, 2.5 vs 4.5 months, p = 0.0061; for OS, 7 vs 9 months, p = 0.1076). Multivariate analysis confirmed that MAPK pathway mutations independently predicted a shorter PFS after regorafenib treatment (p = 0.0188). The negative prognostic role of MAPK pathway alteration was reinforced when we combined EGFR-mutated with EGFRvIII-positive cases. Recurrent glioblastoma tumors with an alteration in MAPK pathway could belong to the mesenchymal subtype and respond poorly to regorafenib treatment, while EGFR-altered cases have a better response to regorafenib. We thus provide a molecular selection criterion easy to implement in the clinical practice. |
format | Online Article Text |
id | pubmed-9519741 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-95197412022-09-30 Clinical and NGS predictors of response to regorafenib in recurrent glioblastoma Chiesa, Silvia Mangraviti, Antonella Martini, Maurizio Cenci, Tonia Mazzarella, Ciro Gaudino, Simona Bracci, Serena Martino, Antonella Della Pepa, Giuseppe M. Offi, Martina Gessi, Marco Russo, Rosellina Martucci, Matia Beghella Bartoli, Francesco Larocca, Luigi M. Lauretti, Liverana Olivi, Alessandro Pallini, Roberto Balducci, Mario D’Alessandris, Quintino Giorgio Sci Rep Article Predictive factors for response to regorafenib in recurrent glioblastoma, IDH-wildtype, are scarcely recognized. The objective of this study was to identify molecular predictive factors for response to regorafenib using a clinically available platform. We analyzed a prospective cohort of 30 patients harboring recurrent glioblastoma, IDH-wildtype, and treated with regorafenib. Next-generation sequencing (NGS) analysis was performed on DNA extracted from paraffin-embedded tissues using a clinically available platform. Moreover, MGMT methylation and EGFRvIII expression analyses were performed. Six-month progression-free survival (PFS) was 30% and median overall survival (OS) was 7.5 months, in line with literature data. NGS analysis revealed a mutation in the EGFR pathway in 18% of cases and a mutation in the mitogen-activated protein-kinase (MAPK) pathway in 18% of cases. In the remaining cases, no mutations were detected. Patients carrying MAPK pathway mutation had a poor response to regorafenib treatment, with a significantly shorter PFS and a nonsignificantly shorter OS compared to EGFR-mutated patients (for PFS, 2.5 vs 4.5 months, p = 0.0061; for OS, 7 vs 9 months, p = 0.1076). Multivariate analysis confirmed that MAPK pathway mutations independently predicted a shorter PFS after regorafenib treatment (p = 0.0188). The negative prognostic role of MAPK pathway alteration was reinforced when we combined EGFR-mutated with EGFRvIII-positive cases. Recurrent glioblastoma tumors with an alteration in MAPK pathway could belong to the mesenchymal subtype and respond poorly to regorafenib treatment, while EGFR-altered cases have a better response to regorafenib. We thus provide a molecular selection criterion easy to implement in the clinical practice. Nature Publishing Group UK 2022-09-28 /pmc/articles/PMC9519741/ /pubmed/36171338 http://dx.doi.org/10.1038/s41598-022-20417-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Chiesa, Silvia Mangraviti, Antonella Martini, Maurizio Cenci, Tonia Mazzarella, Ciro Gaudino, Simona Bracci, Serena Martino, Antonella Della Pepa, Giuseppe M. Offi, Martina Gessi, Marco Russo, Rosellina Martucci, Matia Beghella Bartoli, Francesco Larocca, Luigi M. Lauretti, Liverana Olivi, Alessandro Pallini, Roberto Balducci, Mario D’Alessandris, Quintino Giorgio Clinical and NGS predictors of response to regorafenib in recurrent glioblastoma |
title | Clinical and NGS predictors of response to regorafenib in recurrent glioblastoma |
title_full | Clinical and NGS predictors of response to regorafenib in recurrent glioblastoma |
title_fullStr | Clinical and NGS predictors of response to regorafenib in recurrent glioblastoma |
title_full_unstemmed | Clinical and NGS predictors of response to regorafenib in recurrent glioblastoma |
title_short | Clinical and NGS predictors of response to regorafenib in recurrent glioblastoma |
title_sort | clinical and ngs predictors of response to regorafenib in recurrent glioblastoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519741/ https://www.ncbi.nlm.nih.gov/pubmed/36171338 http://dx.doi.org/10.1038/s41598-022-20417-y |
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