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Evaluation of Angiogenesis-Related Genes as Prognostic Biomarkers of Bevacizumab Treated Ovarian Cancer Patients: Results from the Phase IV MITO16A/ManGO OV-2 Translational Study
SIMPLE SUMMARY: The possibility to identify, with appropriate biomarkers, patients that might mostly benefit from any given treatment is the basis of personalized oncology. Cancer biomarkers should be properly identified and validated on a large number of patients possibly enrolled in dedicated clin...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8533892/ https://www.ncbi.nlm.nih.gov/pubmed/34680301 http://dx.doi.org/10.3390/cancers13205152 |
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author | Califano, Daniela Gallo, Daniela Rampioni Vinciguerra, Gian Luca De Cecio, Rossella Arenare, Laura Signoriello, Simona Russo, Daniela Ferrandina, Gabriella Citron, Francesca Losito, Nunzia Simona Gargiulo, Piera Simeon, Vittorio Scambia, Giovanni Cecere, Sabrina Chiara Montella, Marco Colombo, Nicoletta Tognon, Germana Bignotti, Eliana Zannoni, Gian Franco Canzonieri, Vincenzo Ciucci, Alessandra Spina, Anna Scognamiglio, Giosuè Del Sesto, Michele Schettino, Clorinda Piccirillo, Maria Carmela Perrone, Francesco Chiodini, Paolo Pignata, Sandro Baldassarre, Gustavo |
author_facet | Califano, Daniela Gallo, Daniela Rampioni Vinciguerra, Gian Luca De Cecio, Rossella Arenare, Laura Signoriello, Simona Russo, Daniela Ferrandina, Gabriella Citron, Francesca Losito, Nunzia Simona Gargiulo, Piera Simeon, Vittorio Scambia, Giovanni Cecere, Sabrina Chiara Montella, Marco Colombo, Nicoletta Tognon, Germana Bignotti, Eliana Zannoni, Gian Franco Canzonieri, Vincenzo Ciucci, Alessandra Spina, Anna Scognamiglio, Giosuè Del Sesto, Michele Schettino, Clorinda Piccirillo, Maria Carmela Perrone, Francesco Chiodini, Paolo Pignata, Sandro Baldassarre, Gustavo |
author_sort | Califano, Daniela |
collection | PubMed |
description | SIMPLE SUMMARY: The possibility to identify, with appropriate biomarkers, patients that might mostly benefit from any given treatment is the basis of personalized oncology. Cancer biomarkers should be properly identified and validated on a large number of patients possibly enrolled in dedicated clinical trials. Here, we report the first molecular results of the MITO16A-ManGo-OV2 phase IV trial that was specifically designed to identify prognostic biomarkers of survival in epithelial ovarian cancer patients treated in first line with carboplatin-paclitaxel plus Bevacizumab (NCT01706120), a treatment for which validated predictive or prognostic biomarkers are still lacking. With this work we propose not only novel possible biomarkers for Bevacizumab-treated patients but also a way through which they can be properly collected, analyzed and statistically evaluated in the frame of large multicenter clinical trials. ABSTRACT: Background. Epithelial ovarian cancer (EOC) is a rare, highly lethal disease. In a subset of high grade EOC patients, maintenance therapy with the antiangiogenic drug Bevacizumab (BEV) is a valuable option. To date, no validated predictive or prognostic biomarkers exist for selecting EOC patients that might benefit from BEV treatment. Methods. Immunohistochemistry and RT-qPCR evaluated the expression of seven angiogenesis-related proteins and of a twelve microRNAs angio-signature in EOC patients, treated in first line with chemotherapy plus BEV (MITO16A/ManGO OV-2 phase IV trial). Centralized statistical analyses assessed the associations between each biomarker, clinical prognostic factors and survival outcomes. Results. High miR-484 expression was associated with longer progression-free and overall survival. Notably, the combined expression of miR-484 and its target VEGFB identified a subset of patients that might mostly benefit from BEV treatment. No other significant correlations were found between the other analyzed biomarkers and patients’ survival. The application of a shrinkage procedure to adjust for over-fitting hazard ratio estimates reduced the association significance. Conclusions. The analysis of angiogenesis related biomarkers in EOC patients homogenously treated with BEV in first line provides novel insight in their prognostic value and suggests that some of them might merit to be tested as predictive markers of drug activity in dedicated randomized trials. |
format | Online Article Text |
id | pubmed-8533892 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85338922021-10-23 Evaluation of Angiogenesis-Related Genes as Prognostic Biomarkers of Bevacizumab Treated Ovarian Cancer Patients: Results from the Phase IV MITO16A/ManGO OV-2 Translational Study Califano, Daniela Gallo, Daniela Rampioni Vinciguerra, Gian Luca De Cecio, Rossella Arenare, Laura Signoriello, Simona Russo, Daniela Ferrandina, Gabriella Citron, Francesca Losito, Nunzia Simona Gargiulo, Piera Simeon, Vittorio Scambia, Giovanni Cecere, Sabrina Chiara Montella, Marco Colombo, Nicoletta Tognon, Germana Bignotti, Eliana Zannoni, Gian Franco Canzonieri, Vincenzo Ciucci, Alessandra Spina, Anna Scognamiglio, Giosuè Del Sesto, Michele Schettino, Clorinda Piccirillo, Maria Carmela Perrone, Francesco Chiodini, Paolo Pignata, Sandro Baldassarre, Gustavo Cancers (Basel) Article SIMPLE SUMMARY: The possibility to identify, with appropriate biomarkers, patients that might mostly benefit from any given treatment is the basis of personalized oncology. Cancer biomarkers should be properly identified and validated on a large number of patients possibly enrolled in dedicated clinical trials. Here, we report the first molecular results of the MITO16A-ManGo-OV2 phase IV trial that was specifically designed to identify prognostic biomarkers of survival in epithelial ovarian cancer patients treated in first line with carboplatin-paclitaxel plus Bevacizumab (NCT01706120), a treatment for which validated predictive or prognostic biomarkers are still lacking. With this work we propose not only novel possible biomarkers for Bevacizumab-treated patients but also a way through which they can be properly collected, analyzed and statistically evaluated in the frame of large multicenter clinical trials. ABSTRACT: Background. Epithelial ovarian cancer (EOC) is a rare, highly lethal disease. In a subset of high grade EOC patients, maintenance therapy with the antiangiogenic drug Bevacizumab (BEV) is a valuable option. To date, no validated predictive or prognostic biomarkers exist for selecting EOC patients that might benefit from BEV treatment. Methods. Immunohistochemistry and RT-qPCR evaluated the expression of seven angiogenesis-related proteins and of a twelve microRNAs angio-signature in EOC patients, treated in first line with chemotherapy plus BEV (MITO16A/ManGO OV-2 phase IV trial). Centralized statistical analyses assessed the associations between each biomarker, clinical prognostic factors and survival outcomes. Results. High miR-484 expression was associated with longer progression-free and overall survival. Notably, the combined expression of miR-484 and its target VEGFB identified a subset of patients that might mostly benefit from BEV treatment. No other significant correlations were found between the other analyzed biomarkers and patients’ survival. The application of a shrinkage procedure to adjust for over-fitting hazard ratio estimates reduced the association significance. Conclusions. The analysis of angiogenesis related biomarkers in EOC patients homogenously treated with BEV in first line provides novel insight in their prognostic value and suggests that some of them might merit to be tested as predictive markers of drug activity in dedicated randomized trials. MDPI 2021-10-14 /pmc/articles/PMC8533892/ /pubmed/34680301 http://dx.doi.org/10.3390/cancers13205152 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Califano, Daniela Gallo, Daniela Rampioni Vinciguerra, Gian Luca De Cecio, Rossella Arenare, Laura Signoriello, Simona Russo, Daniela Ferrandina, Gabriella Citron, Francesca Losito, Nunzia Simona Gargiulo, Piera Simeon, Vittorio Scambia, Giovanni Cecere, Sabrina Chiara Montella, Marco Colombo, Nicoletta Tognon, Germana Bignotti, Eliana Zannoni, Gian Franco Canzonieri, Vincenzo Ciucci, Alessandra Spina, Anna Scognamiglio, Giosuè Del Sesto, Michele Schettino, Clorinda Piccirillo, Maria Carmela Perrone, Francesco Chiodini, Paolo Pignata, Sandro Baldassarre, Gustavo Evaluation of Angiogenesis-Related Genes as Prognostic Biomarkers of Bevacizumab Treated Ovarian Cancer Patients: Results from the Phase IV MITO16A/ManGO OV-2 Translational Study |
title | Evaluation of Angiogenesis-Related Genes as Prognostic Biomarkers of Bevacizumab Treated Ovarian Cancer Patients: Results from the Phase IV MITO16A/ManGO OV-2 Translational Study |
title_full | Evaluation of Angiogenesis-Related Genes as Prognostic Biomarkers of Bevacizumab Treated Ovarian Cancer Patients: Results from the Phase IV MITO16A/ManGO OV-2 Translational Study |
title_fullStr | Evaluation of Angiogenesis-Related Genes as Prognostic Biomarkers of Bevacizumab Treated Ovarian Cancer Patients: Results from the Phase IV MITO16A/ManGO OV-2 Translational Study |
title_full_unstemmed | Evaluation of Angiogenesis-Related Genes as Prognostic Biomarkers of Bevacizumab Treated Ovarian Cancer Patients: Results from the Phase IV MITO16A/ManGO OV-2 Translational Study |
title_short | Evaluation of Angiogenesis-Related Genes as Prognostic Biomarkers of Bevacizumab Treated Ovarian Cancer Patients: Results from the Phase IV MITO16A/ManGO OV-2 Translational Study |
title_sort | evaluation of angiogenesis-related genes as prognostic biomarkers of bevacizumab treated ovarian cancer patients: results from the phase iv mito16a/mango ov-2 translational study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8533892/ https://www.ncbi.nlm.nih.gov/pubmed/34680301 http://dx.doi.org/10.3390/cancers13205152 |
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