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Protein Signature Predicts Response to Neoadjuvant Treatment With Chemotherapy and Bevacizumab in HER2-Negative Breast Cancers
PURPOSE: Antiangiogenic therapy using bevacizumab has proven effective for a number of cancers; however, in breast cancer (BC), there is an unmet need to identify patients who benefit from such treatment. PATIENTS AND METHODS: In the NeoAva phase II clinical trial, patients (N = 132) with large (≥ 2...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society of Clinical Oncology
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8140811/ https://www.ncbi.nlm.nih.gov/pubmed/34036235 http://dx.doi.org/10.1200/PO.20.00086 |
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author | Haugen, Mads H. Lingjærde, Ole Christian Hedenfalk, Ingrid Garred, Øystein Borgen, Elin Loman, Niklas Hatschek, Thomas Børresen-Dale, Anne-Lise Naume, Bjørn Mills, Gordon B. Mælandsmo, Gunhild M. Engebraaten, Olav |
author_facet | Haugen, Mads H. Lingjærde, Ole Christian Hedenfalk, Ingrid Garred, Øystein Borgen, Elin Loman, Niklas Hatschek, Thomas Børresen-Dale, Anne-Lise Naume, Bjørn Mills, Gordon B. Mælandsmo, Gunhild M. Engebraaten, Olav |
author_sort | Haugen, Mads H. |
collection | PubMed |
description | PURPOSE: Antiangiogenic therapy using bevacizumab has proven effective for a number of cancers; however, in breast cancer (BC), there is an unmet need to identify patients who benefit from such treatment. PATIENTS AND METHODS: In the NeoAva phase II clinical trial, patients (N = 132) with large (≥ 25 mm) human epidermal growth factor receptor 2 (HER2)-negative primary tumors were randomly assigned 1:1 to treatment with neoadjuvant chemotherapy (CTx) alone or in combination with bevacizumab (Bev plus CTx). The ratio of the tumor size after relative to before treatment was calculated into a continuous response scale. Tumor biopsies taken prior to neoadjuvant treatment were analyzed by reverse-phase protein arrays (RPPA) for expression levels of 210 BC-relevant (phospho-) proteins. Lasso regression was used to derive a predictor of tumor shrinkage from the expression of selected proteins prior to treatment. RESULTS: We identified a nine-protein signature score named vascular endothelial growth factor inhibition response predictor (ViRP) for use in the Bev plus CTx treatment arm able to predict with accuracy pathologic complete response (pCR) (area under the curve [AUC] = 0.85; 95% CI, 0.74 to 0.97) and low residual cancer burden (RCB 0/I) (AUC = 0.80; 95% CI, 0.68 to 0.93). The ViRP score was significantly lower in patients with pCR (P < .001) and in patients with low RCB (P < .001). The ViRP score was internally validated on mRNA data and the resultant surrogate mRNA ViRP score significantly separated the pCR patients (P = .016). Similarly, the mRNA ViRP score was validated (P < .001) in an independent phase II clinical trial (PROMIX). CONCLUSION: Our ViRP score, integrating the expression of nine proteins and validated on mRNA data both internally and in an independent clinical trial, may be used to increase the likelihood of benefit from treatment with bevacizumab combined with chemotherapy in patients with HER2-negative BC. |
format | Online Article Text |
id | pubmed-8140811 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Society of Clinical Oncology |
record_format | MEDLINE/PubMed |
spelling | pubmed-81408112021-05-24 Protein Signature Predicts Response to Neoadjuvant Treatment With Chemotherapy and Bevacizumab in HER2-Negative Breast Cancers Haugen, Mads H. Lingjærde, Ole Christian Hedenfalk, Ingrid Garred, Øystein Borgen, Elin Loman, Niklas Hatschek, Thomas Børresen-Dale, Anne-Lise Naume, Bjørn Mills, Gordon B. Mælandsmo, Gunhild M. Engebraaten, Olav JCO Precis Oncol Original Reports PURPOSE: Antiangiogenic therapy using bevacizumab has proven effective for a number of cancers; however, in breast cancer (BC), there is an unmet need to identify patients who benefit from such treatment. PATIENTS AND METHODS: In the NeoAva phase II clinical trial, patients (N = 132) with large (≥ 25 mm) human epidermal growth factor receptor 2 (HER2)-negative primary tumors were randomly assigned 1:1 to treatment with neoadjuvant chemotherapy (CTx) alone or in combination with bevacizumab (Bev plus CTx). The ratio of the tumor size after relative to before treatment was calculated into a continuous response scale. Tumor biopsies taken prior to neoadjuvant treatment were analyzed by reverse-phase protein arrays (RPPA) for expression levels of 210 BC-relevant (phospho-) proteins. Lasso regression was used to derive a predictor of tumor shrinkage from the expression of selected proteins prior to treatment. RESULTS: We identified a nine-protein signature score named vascular endothelial growth factor inhibition response predictor (ViRP) for use in the Bev plus CTx treatment arm able to predict with accuracy pathologic complete response (pCR) (area under the curve [AUC] = 0.85; 95% CI, 0.74 to 0.97) and low residual cancer burden (RCB 0/I) (AUC = 0.80; 95% CI, 0.68 to 0.93). The ViRP score was significantly lower in patients with pCR (P < .001) and in patients with low RCB (P < .001). The ViRP score was internally validated on mRNA data and the resultant surrogate mRNA ViRP score significantly separated the pCR patients (P = .016). Similarly, the mRNA ViRP score was validated (P < .001) in an independent phase II clinical trial (PROMIX). CONCLUSION: Our ViRP score, integrating the expression of nine proteins and validated on mRNA data both internally and in an independent clinical trial, may be used to increase the likelihood of benefit from treatment with bevacizumab combined with chemotherapy in patients with HER2-negative BC. American Society of Clinical Oncology 2021-01-28 /pmc/articles/PMC8140811/ /pubmed/34036235 http://dx.doi.org/10.1200/PO.20.00086 Text en © 2021 by American Society of Clinical Oncology https://creativecommons.org/licenses/by/4.0/Licensed under the Creative Commons Attribution 4.0 License: https://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Original Reports Haugen, Mads H. Lingjærde, Ole Christian Hedenfalk, Ingrid Garred, Øystein Borgen, Elin Loman, Niklas Hatschek, Thomas Børresen-Dale, Anne-Lise Naume, Bjørn Mills, Gordon B. Mælandsmo, Gunhild M. Engebraaten, Olav Protein Signature Predicts Response to Neoadjuvant Treatment With Chemotherapy and Bevacizumab in HER2-Negative Breast Cancers |
title | Protein Signature Predicts Response to Neoadjuvant Treatment With Chemotherapy and Bevacizumab in HER2-Negative Breast Cancers |
title_full | Protein Signature Predicts Response to Neoadjuvant Treatment With Chemotherapy and Bevacizumab in HER2-Negative Breast Cancers |
title_fullStr | Protein Signature Predicts Response to Neoadjuvant Treatment With Chemotherapy and Bevacizumab in HER2-Negative Breast Cancers |
title_full_unstemmed | Protein Signature Predicts Response to Neoadjuvant Treatment With Chemotherapy and Bevacizumab in HER2-Negative Breast Cancers |
title_short | Protein Signature Predicts Response to Neoadjuvant Treatment With Chemotherapy and Bevacizumab in HER2-Negative Breast Cancers |
title_sort | protein signature predicts response to neoadjuvant treatment with chemotherapy and bevacizumab in her2-negative breast cancers |
topic | Original Reports |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8140811/ https://www.ncbi.nlm.nih.gov/pubmed/34036235 http://dx.doi.org/10.1200/PO.20.00086 |
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