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Pretreatment inflammatory indices predict Bevacizumab response in recurrent Glioma
Aim: It remains unclear what the best therapeutic option for recurrent glioma patients after Stupp treatment is. Bevacizumab (BVZ) is commonly administered in progression, but it appears that only some patients benefit. It would be useful to find biomarkers that determine beforehand who these patien...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
OAE Publishing Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8992487/ https://www.ncbi.nlm.nih.gov/pubmed/35582438 http://dx.doi.org/10.20517/cdr.2020.33 |
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author | Martínez-González, Alicia Cabrera, Raquel Lloret, Marta Lara, Pedro C. |
author_facet | Martínez-González, Alicia Cabrera, Raquel Lloret, Marta Lara, Pedro C. |
author_sort | Martínez-González, Alicia |
collection | PubMed |
description | Aim: It remains unclear what the best therapeutic option for recurrent glioma patients after Stupp treatment is. Bevacizumab (BVZ) is commonly administered in progression, but it appears that only some patients benefit. It would be useful to find biomarkers that determine beforehand who these patients are. Methods: The protocol included 31 high-risk progressing glioma patients after Stupp treatment who received BVZ 5-10 mg/kg every 14 days and temozolomide (3-19 cycles, 150-200 mg five days each 28-day cycle) during a mean of eight cycles of BVZ or until tumor progression or unacceptable toxicity. We analyzed the clinical outcome values of inflammatory indices measured before BVZ administration. Results: Lymphocyte level before BVZ administration was the best independent predictor of overall survival (HR = 0.34; 95%CI: 0.145-0.81; P = 0.015). The area under the receiver operating characteristic (ROC) curve was 0.823, with 1.645 being the optimal cut-off value, and 0.80 and 0.85 the sensitivity and specificity values, respectively. Responder and non-responder survival curves were also significantly different, considering the first and second tertiles as cut-off points. The number of BVZ cycles was not related to lymphopenia. Pretreatment neutrophil, platelet levels, platelet-to-lymphocyte ratio (PLR), and neutrophil-to-lymphocyte ratio (NLR) did not have independent predictive value. Inflammatory variables were not correlated with each other. However, patients with high NLR and PLR simultaneously (double positive PLR-NLR) showed a worse clinical outcome than the rest (P = 0.043). Conclusion: Pretreatment lymphocyte levels and double positive PLR-NLR could be used as non-invasive hematological prognostic markers for recurrent gliomas treated with bevacizumab. A close relationship emerged between inflammation and angiogenesis. |
format | Online Article Text |
id | pubmed-8992487 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | OAE Publishing Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89924872022-05-16 Pretreatment inflammatory indices predict Bevacizumab response in recurrent Glioma Martínez-González, Alicia Cabrera, Raquel Lloret, Marta Lara, Pedro C. Cancer Drug Resist Original Article Aim: It remains unclear what the best therapeutic option for recurrent glioma patients after Stupp treatment is. Bevacizumab (BVZ) is commonly administered in progression, but it appears that only some patients benefit. It would be useful to find biomarkers that determine beforehand who these patients are. Methods: The protocol included 31 high-risk progressing glioma patients after Stupp treatment who received BVZ 5-10 mg/kg every 14 days and temozolomide (3-19 cycles, 150-200 mg five days each 28-day cycle) during a mean of eight cycles of BVZ or until tumor progression or unacceptable toxicity. We analyzed the clinical outcome values of inflammatory indices measured before BVZ administration. Results: Lymphocyte level before BVZ administration was the best independent predictor of overall survival (HR = 0.34; 95%CI: 0.145-0.81; P = 0.015). The area under the receiver operating characteristic (ROC) curve was 0.823, with 1.645 being the optimal cut-off value, and 0.80 and 0.85 the sensitivity and specificity values, respectively. Responder and non-responder survival curves were also significantly different, considering the first and second tertiles as cut-off points. The number of BVZ cycles was not related to lymphopenia. Pretreatment neutrophil, platelet levels, platelet-to-lymphocyte ratio (PLR), and neutrophil-to-lymphocyte ratio (NLR) did not have independent predictive value. Inflammatory variables were not correlated with each other. However, patients with high NLR and PLR simultaneously (double positive PLR-NLR) showed a worse clinical outcome than the rest (P = 0.043). Conclusion: Pretreatment lymphocyte levels and double positive PLR-NLR could be used as non-invasive hematological prognostic markers for recurrent gliomas treated with bevacizumab. A close relationship emerged between inflammation and angiogenesis. OAE Publishing Inc. 2020-08-07 /pmc/articles/PMC8992487/ /pubmed/35582438 http://dx.doi.org/10.20517/cdr.2020.33 Text en © The Author(s) 2020. https://creativecommons.org/licenses/by/4.0/© The Author(s) 2020. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Article Martínez-González, Alicia Cabrera, Raquel Lloret, Marta Lara, Pedro C. Pretreatment inflammatory indices predict Bevacizumab response in recurrent Glioma |
title | Pretreatment inflammatory indices predict Bevacizumab response in recurrent Glioma |
title_full | Pretreatment inflammatory indices predict Bevacizumab response in recurrent Glioma |
title_fullStr | Pretreatment inflammatory indices predict Bevacizumab response in recurrent Glioma |
title_full_unstemmed | Pretreatment inflammatory indices predict Bevacizumab response in recurrent Glioma |
title_short | Pretreatment inflammatory indices predict Bevacizumab response in recurrent Glioma |
title_sort | pretreatment inflammatory indices predict bevacizumab response in recurrent glioma |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8992487/ https://www.ncbi.nlm.nih.gov/pubmed/35582438 http://dx.doi.org/10.20517/cdr.2020.33 |
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