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Angiotensinogen promoter methylation predicts bevacizumab treatment response of patients with recurrent glioblastoma

Patients with recurrent glioblastoma achieving response to bevacizumab combined with chemotherapy have clinical improvement and prolonged survival. High gene expression of angiotensinogen (AGT) is associated with a poor bevacizumab response. Because AGT expression is epigenetically regulated, we aim...

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Autores principales: Urup, Thomas, Gillberg, Linn, Kaastrup, Katja, Lü, Maya Jeje Schuang, Michaelsen, Signe Regner, Andrée Larsen, Vibeke, Christensen, Ib Jarle, Broholm, Helle, Lassen, Ulrik, Grønbæk, Kirsten, Poulsen, Hans Skovgaard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7191184/
https://www.ncbi.nlm.nih.gov/pubmed/32133779
http://dx.doi.org/10.1002/1878-0261.12660
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author Urup, Thomas
Gillberg, Linn
Kaastrup, Katja
Lü, Maya Jeje Schuang
Michaelsen, Signe Regner
Andrée Larsen, Vibeke
Christensen, Ib Jarle
Broholm, Helle
Lassen, Ulrik
Grønbæk, Kirsten
Poulsen, Hans Skovgaard
author_facet Urup, Thomas
Gillberg, Linn
Kaastrup, Katja
Lü, Maya Jeje Schuang
Michaelsen, Signe Regner
Andrée Larsen, Vibeke
Christensen, Ib Jarle
Broholm, Helle
Lassen, Ulrik
Grønbæk, Kirsten
Poulsen, Hans Skovgaard
author_sort Urup, Thomas
collection PubMed
description Patients with recurrent glioblastoma achieving response to bevacizumab combined with chemotherapy have clinical improvement and prolonged survival. High gene expression of angiotensinogen (AGT) is associated with a poor bevacizumab response. Because AGT expression is epigenetically regulated, we aimed to investigate whether AGT promoter methylation in tumor tissue predicts response to bevacizumab combination therapy in patients with recurrent glioblastoma. The study included 159 patients with recurrent glioblastoma, treated with bevacizumab combination treatment (training cohort, n = 77; validation cohort, n = 82). All patients could be evaluated for treatment response and biomarkers. DNA methylation of 4 CpG sites in the AGT promoter was measured using pyrosequencing. A model for nonresponse was established using logistic regression analysis. In the training cohort, lower methylation of each of the four CpG sites in the AGT promoter was significantly associated with nonresponse (all P < 0.05). Moreover, the mean methylation level of all four CpG sites was associated with an increased likelihood of not achieving response to bevacizumab combination therapy (twofold decrease: odds ratio = 3.01; 95% confidence interval: 1.41–6.44; P = 0.004). We developed a model for nonresponse in the training cohort, where a threshold of mean AGT promoter methylation levels was set to below 12%. The model could predict bevacizumab nonresponse with 96% specificity. Importantly, this predictor was also significantly associated with nonresponse in the validation cohort (P = 0.037). Taken together, our findings suggest that low AGT promoter methylation in tumor tissue predicts nonresponse to bevacizumab combination treatment in patients with recurrent glioblastoma. We have, thus, established and successfully validated a predictor for nonresponse that can be used to identify patients who will not benefit from bevacizumab combination therapy.
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spelling pubmed-71911842020-05-01 Angiotensinogen promoter methylation predicts bevacizumab treatment response of patients with recurrent glioblastoma Urup, Thomas Gillberg, Linn Kaastrup, Katja Lü, Maya Jeje Schuang Michaelsen, Signe Regner Andrée Larsen, Vibeke Christensen, Ib Jarle Broholm, Helle Lassen, Ulrik Grønbæk, Kirsten Poulsen, Hans Skovgaard Mol Oncol Research Articles Patients with recurrent glioblastoma achieving response to bevacizumab combined with chemotherapy have clinical improvement and prolonged survival. High gene expression of angiotensinogen (AGT) is associated with a poor bevacizumab response. Because AGT expression is epigenetically regulated, we aimed to investigate whether AGT promoter methylation in tumor tissue predicts response to bevacizumab combination therapy in patients with recurrent glioblastoma. The study included 159 patients with recurrent glioblastoma, treated with bevacizumab combination treatment (training cohort, n = 77; validation cohort, n = 82). All patients could be evaluated for treatment response and biomarkers. DNA methylation of 4 CpG sites in the AGT promoter was measured using pyrosequencing. A model for nonresponse was established using logistic regression analysis. In the training cohort, lower methylation of each of the four CpG sites in the AGT promoter was significantly associated with nonresponse (all P < 0.05). Moreover, the mean methylation level of all four CpG sites was associated with an increased likelihood of not achieving response to bevacizumab combination therapy (twofold decrease: odds ratio = 3.01; 95% confidence interval: 1.41–6.44; P = 0.004). We developed a model for nonresponse in the training cohort, where a threshold of mean AGT promoter methylation levels was set to below 12%. The model could predict bevacizumab nonresponse with 96% specificity. Importantly, this predictor was also significantly associated with nonresponse in the validation cohort (P = 0.037). Taken together, our findings suggest that low AGT promoter methylation in tumor tissue predicts nonresponse to bevacizumab combination treatment in patients with recurrent glioblastoma. We have, thus, established and successfully validated a predictor for nonresponse that can be used to identify patients who will not benefit from bevacizumab combination therapy. John Wiley and Sons Inc. 2020-03-18 2020-05 /pmc/articles/PMC7191184/ /pubmed/32133779 http://dx.doi.org/10.1002/1878-0261.12660 Text en © 2020 The Authors. Published by FEBS Press and John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Urup, Thomas
Gillberg, Linn
Kaastrup, Katja
Lü, Maya Jeje Schuang
Michaelsen, Signe Regner
Andrée Larsen, Vibeke
Christensen, Ib Jarle
Broholm, Helle
Lassen, Ulrik
Grønbæk, Kirsten
Poulsen, Hans Skovgaard
Angiotensinogen promoter methylation predicts bevacizumab treatment response of patients with recurrent glioblastoma
title Angiotensinogen promoter methylation predicts bevacizumab treatment response of patients with recurrent glioblastoma
title_full Angiotensinogen promoter methylation predicts bevacizumab treatment response of patients with recurrent glioblastoma
title_fullStr Angiotensinogen promoter methylation predicts bevacizumab treatment response of patients with recurrent glioblastoma
title_full_unstemmed Angiotensinogen promoter methylation predicts bevacizumab treatment response of patients with recurrent glioblastoma
title_short Angiotensinogen promoter methylation predicts bevacizumab treatment response of patients with recurrent glioblastoma
title_sort angiotensinogen promoter methylation predicts bevacizumab treatment response of patients with recurrent glioblastoma
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7191184/
https://www.ncbi.nlm.nih.gov/pubmed/32133779
http://dx.doi.org/10.1002/1878-0261.12660
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