Cargando…

Predictive factors for the development of proteinuria in cancer patients treated with bevacizumab, ramucirumab, and aflibercept: a single-institution retrospective analysis

The development of proteinuria restricts the dose of anti-angiogenic agents, thereby reducing their efficacy. Thus, this retrospective study was undertaken to identify predictive factors of the development of angiogenesis inhibitor-induced proteinuria, and to elucidate if there is a difference in th...

Descripción completa

Detalles Bibliográficos
Autores principales: Kanbayashi, Yuko, Ishikawa, Takeshi, Tabuchi, Yusuke, Sakaguchi, Koichi, Ouchi, Yoshimi, Otsuji, Eigo, Takayama, Koichi, Taguchi, Tetsuya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005043/
https://www.ncbi.nlm.nih.gov/pubmed/32029849
http://dx.doi.org/10.1038/s41598-020-58994-5
_version_ 1783494848038305792
author Kanbayashi, Yuko
Ishikawa, Takeshi
Tabuchi, Yusuke
Sakaguchi, Koichi
Ouchi, Yoshimi
Otsuji, Eigo
Takayama, Koichi
Taguchi, Tetsuya
author_facet Kanbayashi, Yuko
Ishikawa, Takeshi
Tabuchi, Yusuke
Sakaguchi, Koichi
Ouchi, Yoshimi
Otsuji, Eigo
Takayama, Koichi
Taguchi, Tetsuya
author_sort Kanbayashi, Yuko
collection PubMed
description The development of proteinuria restricts the dose of anti-angiogenic agents, thereby reducing their efficacy. Thus, this retrospective study was undertaken to identify predictive factors of the development of angiogenesis inhibitor-induced proteinuria, and to elucidate if there is a difference in the likelihood of proteinuria among anti-angiogenic agents or cancer types, to help guide future strategies to improve the safety, efficacy, and quality of life of patients receiving chemotherapy. Between April 2014 and February 2019, 124 cancer patients at our outpatient chemotherapy center who were receiving chemotherapy with bevacizumab, ramucirumab, or aflibercept were enrolled. Variables related to the development of proteinuria were extracted from the patients’ clinical records and used for regression analysis. The level of the proteinuria was evaluated based on CTCAE version 5. Multivariate ordered logistic regression analysis was performed to identify predictive factors for the development of proteinuria. The Wilcoxon/Kruskal-Wallis test was used to identify significant differences between groups. Significant factors identified included systolic blood pressure (SBP) [odds ratio (OR) = 1.031, 95% confidence interval (CI) = 1.005–1.058; P = 0.0197], number of cycles (OR = 1.049, 95% CI = 1.018–1.082; P = 0.0019), and calcium channel blocker use (OR = 2.589, 95% CI = 1.090–6.146; P = 0.0311). There was no difference among the three anti-angiogenic agents (P = 0.4969) or among cancer types (P = 0.2726) in the likelihood of proteinuria. In conclusion, SBP, number of cycles, and calcium channel blocker use were identified as significant predictors of the development of angiogenesis inhibitor-induced proteinuria. There was no difference among the three anti-angiogenic agents or among cancer types.
format Online
Article
Text
id pubmed-7005043
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-70050432020-02-14 Predictive factors for the development of proteinuria in cancer patients treated with bevacizumab, ramucirumab, and aflibercept: a single-institution retrospective analysis Kanbayashi, Yuko Ishikawa, Takeshi Tabuchi, Yusuke Sakaguchi, Koichi Ouchi, Yoshimi Otsuji, Eigo Takayama, Koichi Taguchi, Tetsuya Sci Rep Article The development of proteinuria restricts the dose of anti-angiogenic agents, thereby reducing their efficacy. Thus, this retrospective study was undertaken to identify predictive factors of the development of angiogenesis inhibitor-induced proteinuria, and to elucidate if there is a difference in the likelihood of proteinuria among anti-angiogenic agents or cancer types, to help guide future strategies to improve the safety, efficacy, and quality of life of patients receiving chemotherapy. Between April 2014 and February 2019, 124 cancer patients at our outpatient chemotherapy center who were receiving chemotherapy with bevacizumab, ramucirumab, or aflibercept were enrolled. Variables related to the development of proteinuria were extracted from the patients’ clinical records and used for regression analysis. The level of the proteinuria was evaluated based on CTCAE version 5. Multivariate ordered logistic regression analysis was performed to identify predictive factors for the development of proteinuria. The Wilcoxon/Kruskal-Wallis test was used to identify significant differences between groups. Significant factors identified included systolic blood pressure (SBP) [odds ratio (OR) = 1.031, 95% confidence interval (CI) = 1.005–1.058; P = 0.0197], number of cycles (OR = 1.049, 95% CI = 1.018–1.082; P = 0.0019), and calcium channel blocker use (OR = 2.589, 95% CI = 1.090–6.146; P = 0.0311). There was no difference among the three anti-angiogenic agents (P = 0.4969) or among cancer types (P = 0.2726) in the likelihood of proteinuria. In conclusion, SBP, number of cycles, and calcium channel blocker use were identified as significant predictors of the development of angiogenesis inhibitor-induced proteinuria. There was no difference among the three anti-angiogenic agents or among cancer types. Nature Publishing Group UK 2020-02-06 /pmc/articles/PMC7005043/ /pubmed/32029849 http://dx.doi.org/10.1038/s41598-020-58994-5 Text en © The Author(s) 2020 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Kanbayashi, Yuko
Ishikawa, Takeshi
Tabuchi, Yusuke
Sakaguchi, Koichi
Ouchi, Yoshimi
Otsuji, Eigo
Takayama, Koichi
Taguchi, Tetsuya
Predictive factors for the development of proteinuria in cancer patients treated with bevacizumab, ramucirumab, and aflibercept: a single-institution retrospective analysis
title Predictive factors for the development of proteinuria in cancer patients treated with bevacizumab, ramucirumab, and aflibercept: a single-institution retrospective analysis
title_full Predictive factors for the development of proteinuria in cancer patients treated with bevacizumab, ramucirumab, and aflibercept: a single-institution retrospective analysis
title_fullStr Predictive factors for the development of proteinuria in cancer patients treated with bevacizumab, ramucirumab, and aflibercept: a single-institution retrospective analysis
title_full_unstemmed Predictive factors for the development of proteinuria in cancer patients treated with bevacizumab, ramucirumab, and aflibercept: a single-institution retrospective analysis
title_short Predictive factors for the development of proteinuria in cancer patients treated with bevacizumab, ramucirumab, and aflibercept: a single-institution retrospective analysis
title_sort predictive factors for the development of proteinuria in cancer patients treated with bevacizumab, ramucirumab, and aflibercept: a single-institution retrospective analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005043/
https://www.ncbi.nlm.nih.gov/pubmed/32029849
http://dx.doi.org/10.1038/s41598-020-58994-5
work_keys_str_mv AT kanbayashiyuko predictivefactorsforthedevelopmentofproteinuriaincancerpatientstreatedwithbevacizumabramucirumabandafliberceptasingleinstitutionretrospectiveanalysis
AT ishikawatakeshi predictivefactorsforthedevelopmentofproteinuriaincancerpatientstreatedwithbevacizumabramucirumabandafliberceptasingleinstitutionretrospectiveanalysis
AT tabuchiyusuke predictivefactorsforthedevelopmentofproteinuriaincancerpatientstreatedwithbevacizumabramucirumabandafliberceptasingleinstitutionretrospectiveanalysis
AT sakaguchikoichi predictivefactorsforthedevelopmentofproteinuriaincancerpatientstreatedwithbevacizumabramucirumabandafliberceptasingleinstitutionretrospectiveanalysis
AT ouchiyoshimi predictivefactorsforthedevelopmentofproteinuriaincancerpatientstreatedwithbevacizumabramucirumabandafliberceptasingleinstitutionretrospectiveanalysis
AT otsujieigo predictivefactorsforthedevelopmentofproteinuriaincancerpatientstreatedwithbevacizumabramucirumabandafliberceptasingleinstitutionretrospectiveanalysis
AT takayamakoichi predictivefactorsforthedevelopmentofproteinuriaincancerpatientstreatedwithbevacizumabramucirumabandafliberceptasingleinstitutionretrospectiveanalysis
AT taguchitetsuya predictivefactorsforthedevelopmentofproteinuriaincancerpatientstreatedwithbevacizumabramucirumabandafliberceptasingleinstitutionretrospectiveanalysis