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P53-negative status and gross total resection as predictive factors for autologous tumor vaccine treatment in newly diagnosed glioblastoma patients
BACKGROUND: Among primary brain tumors, glioblastoma (GBM) is the most common and aggressive in adults, with limited treatment options. Our previous study showed that autologous formalin-fixed tumor vaccine (AFTV) contributed to prognostic improvements in newly diagnosed GBM patients. However, some...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10362834/ https://www.ncbi.nlm.nih.gov/pubmed/37484760 http://dx.doi.org/10.1093/noajnl/vdad079 |
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author | Yamada, Erika Ishikawa, Eiichi Miyazaki, Tsubasa Miki, Shunichiro Sugii, Narushi Kohzuki, Hidehiro Tsurubuchi, Takao Sakamoto, Noriaki Watanabe, Shinya Matsuda, Masahide |
author_facet | Yamada, Erika Ishikawa, Eiichi Miyazaki, Tsubasa Miki, Shunichiro Sugii, Narushi Kohzuki, Hidehiro Tsurubuchi, Takao Sakamoto, Noriaki Watanabe, Shinya Matsuda, Masahide |
author_sort | Yamada, Erika |
collection | PubMed |
description | BACKGROUND: Among primary brain tumors, glioblastoma (GBM) is the most common and aggressive in adults, with limited treatment options. Our previous study showed that autologous formalin-fixed tumor vaccine (AFTV) contributed to prognostic improvements in newly diagnosed GBM patients. However, some patients died early despite the treatment. The discovery of predictive factors in the treatment was warranted for efficient patient recruitment and studies to overcome resistance mechanisms. Identifying prognostic factors will establish AFTV guidelines for patients who may respond to the therapy. METHODS: Data from 58 patients with newly diagnosed GBM, including 29 who received standard therapy plus AFTV (AFTV group) and 29 who received standard treatment (control group) were analyzed. Several data including patient age, sex, the extent of removal, and various cell immunohistochemistry (IHC) parameters were also included in the analysis. RESULTS: Both univariate and multivariate analyses revealed that gross total resection (GTR) and negative p53 were associated with a better prognosis only in the AFTV group. In the IHC parameters, CD8 staining status was also one of the predictive factors in the univariate analysis. For blood cell-related data, lymphocyte counts of 1100 or more and monocyte counts of 280 or more before chemo-radiotherapy were significant factors for good prognosis in the univariate analysis. CONCLUSIONS: A p53-negative status in IHC and GTR were the predictive factors for AFTV treatment in newly diagnosed GBM patients. Microenvironment-targeted treatment and pretreatment blood cell status may be key factors to enhance therapy effects. |
format | Online Article Text |
id | pubmed-10362834 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-103628342023-07-23 P53-negative status and gross total resection as predictive factors for autologous tumor vaccine treatment in newly diagnosed glioblastoma patients Yamada, Erika Ishikawa, Eiichi Miyazaki, Tsubasa Miki, Shunichiro Sugii, Narushi Kohzuki, Hidehiro Tsurubuchi, Takao Sakamoto, Noriaki Watanabe, Shinya Matsuda, Masahide Neurooncol Adv Clinical Investigations BACKGROUND: Among primary brain tumors, glioblastoma (GBM) is the most common and aggressive in adults, with limited treatment options. Our previous study showed that autologous formalin-fixed tumor vaccine (AFTV) contributed to prognostic improvements in newly diagnosed GBM patients. However, some patients died early despite the treatment. The discovery of predictive factors in the treatment was warranted for efficient patient recruitment and studies to overcome resistance mechanisms. Identifying prognostic factors will establish AFTV guidelines for patients who may respond to the therapy. METHODS: Data from 58 patients with newly diagnosed GBM, including 29 who received standard therapy plus AFTV (AFTV group) and 29 who received standard treatment (control group) were analyzed. Several data including patient age, sex, the extent of removal, and various cell immunohistochemistry (IHC) parameters were also included in the analysis. RESULTS: Both univariate and multivariate analyses revealed that gross total resection (GTR) and negative p53 were associated with a better prognosis only in the AFTV group. In the IHC parameters, CD8 staining status was also one of the predictive factors in the univariate analysis. For blood cell-related data, lymphocyte counts of 1100 or more and monocyte counts of 280 or more before chemo-radiotherapy were significant factors for good prognosis in the univariate analysis. CONCLUSIONS: A p53-negative status in IHC and GTR were the predictive factors for AFTV treatment in newly diagnosed GBM patients. Microenvironment-targeted treatment and pretreatment blood cell status may be key factors to enhance therapy effects. Oxford University Press 2023-06-28 /pmc/articles/PMC10362834/ /pubmed/37484760 http://dx.doi.org/10.1093/noajnl/vdad079 Text en © The Author(s) 2023. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Clinical Investigations Yamada, Erika Ishikawa, Eiichi Miyazaki, Tsubasa Miki, Shunichiro Sugii, Narushi Kohzuki, Hidehiro Tsurubuchi, Takao Sakamoto, Noriaki Watanabe, Shinya Matsuda, Masahide P53-negative status and gross total resection as predictive factors for autologous tumor vaccine treatment in newly diagnosed glioblastoma patients |
title | P53-negative status and gross total resection as predictive factors for autologous tumor vaccine treatment in newly diagnosed glioblastoma patients |
title_full | P53-negative status and gross total resection as predictive factors for autologous tumor vaccine treatment in newly diagnosed glioblastoma patients |
title_fullStr | P53-negative status and gross total resection as predictive factors for autologous tumor vaccine treatment in newly diagnosed glioblastoma patients |
title_full_unstemmed | P53-negative status and gross total resection as predictive factors for autologous tumor vaccine treatment in newly diagnosed glioblastoma patients |
title_short | P53-negative status and gross total resection as predictive factors for autologous tumor vaccine treatment in newly diagnosed glioblastoma patients |
title_sort | p53-negative status and gross total resection as predictive factors for autologous tumor vaccine treatment in newly diagnosed glioblastoma patients |
topic | Clinical Investigations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10362834/ https://www.ncbi.nlm.nih.gov/pubmed/37484760 http://dx.doi.org/10.1093/noajnl/vdad079 |
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