Structure-based engineering of pH-dependent antibody binding for selective targeting of solid-tumor microenvironment

Recent development of monoclonal antibodies as mainstream anticancer agents demands further optimization of their safety for use in humans. Potent targeting and/or effector activities on normal tissues is an obvious toxicity concern. Optimization of specific tumor targeting could be achieved by taki...

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Main Authors: Traian Sulea, Nazanin Rohani, Jason Baardsnes, Christopher R. Corbeil, Christophe Deprez, Yuneivy Cepero-Donates, Alma Robert, Joseph D. Schrag, Marie Parat, Mélanie Duchesne, Maria L. Jaramillo, Enrico O. Purisima, John C. Zwaagstra
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:mAbs
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Online Access:https://www.tandfonline.com/doi/10.1080/19420862.2019.1682866
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author Traian Sulea
Nazanin Rohani
Jason Baardsnes
Christopher R. Corbeil
Christophe Deprez
Yuneivy Cepero-Donates
Alma Robert
Joseph D. Schrag
Marie Parat
Mélanie Duchesne
Maria L. Jaramillo
Enrico O. Purisima
John C. Zwaagstra
author_facet Traian Sulea
Nazanin Rohani
Jason Baardsnes
Christopher R. Corbeil
Christophe Deprez
Yuneivy Cepero-Donates
Alma Robert
Joseph D. Schrag
Marie Parat
Mélanie Duchesne
Maria L. Jaramillo
Enrico O. Purisima
John C. Zwaagstra
author_sort Traian Sulea
collection DOAJ
description Recent development of monoclonal antibodies as mainstream anticancer agents demands further optimization of their safety for use in humans. Potent targeting and/or effector activities on normal tissues is an obvious toxicity concern. Optimization of specific tumor targeting could be achieved by taking advantage of the extracellular acidity of solid tumors relative to normal tissues. Here, we applied a structure-based computational approach to engineer anti-human epidermal growth factor receptor 2 (Her2) antibodies with selective binding in the acidic tumor microenvironment. We used an affinity maturation platform in which dual-pH histidine-scanning mutagenesis was implemented for pH selectivity optimization. Testing of a small set of designs for binding to the recombinant Her2 ectodomain led to the identification of antigen-binding fragment (Fab) variants with the desired pH-dependent binding behavior. Binding selectivity toward acidic pH was improved by as much as 25-fold relative to the parental bH1-Fab. In vitro experiments on cells expressing intact Her2 confirmed that designed variants formatted as IgG1/k full-size antibodies have high affinity and inhibit the growth of tumor spheroids at a level comparable to that of the benchmark anti-Her2 antibody trastuzumab (Herceptin®) at acidic pH, whereas these effects were significantly reduced at physiological pH. In contrast, both Herceptin and the parental bH1 antibody exhibited strong cell binding and growth inhibition irrespective of pH. This work demonstrates the feasibility of computational optimization of antibodies for selective targeting of the acidic environment such as that found in many solid tumors.
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spelling doaj.art-f7e7bbaa010a45d39cfc5376757156e72022-12-22T02:22:40ZengTaylor & Francis GroupmAbs1942-08621942-08702020-01-0112110.1080/19420862.2019.1682866Structure-based engineering of pH-dependent antibody binding for selective targeting of solid-tumor microenvironmentTraian Sulea0Nazanin Rohani1Jason Baardsnes2Christopher R. Corbeil3Christophe Deprez4Yuneivy Cepero-Donates5Alma Robert6Joseph D. Schrag7Marie Parat8Mélanie Duchesne9Maria L. Jaramillo10Enrico O. Purisima11John C. Zwaagstra12Human Health Therapeutics Research Centre, National Research Council Canada, Montreal, Quebec, CanadaHuman Health Therapeutics Research Centre, National Research Council Canada, Montreal, Quebec, CanadaHuman Health Therapeutics Research Centre, National Research Council Canada, Montreal, Quebec, CanadaHuman Health Therapeutics Research Centre, National Research Council Canada, Montreal, Quebec, CanadaHuman Health Therapeutics Research Centre, National Research Council Canada, Montreal, Quebec, CanadaHuman Health Therapeutics Research Centre, National Research Council Canada, Montreal, Quebec, CanadaHuman Health Therapeutics Research Centre, National Research Council Canada, Montreal, Quebec, CanadaHuman Health Therapeutics Research Centre, National Research Council Canada, Montreal, Quebec, CanadaHuman Health Therapeutics Research Centre, National Research Council Canada, Montreal, Quebec, CanadaHuman Health Therapeutics Research Centre, National Research Council Canada, Montreal, Quebec, CanadaHuman Health Therapeutics Research Centre, National Research Council Canada, Montreal, Quebec, CanadaHuman Health Therapeutics Research Centre, National Research Council Canada, Montreal, Quebec, CanadaHuman Health Therapeutics Research Centre, National Research Council Canada, Montreal, Quebec, CanadaRecent development of monoclonal antibodies as mainstream anticancer agents demands further optimization of their safety for use in humans. Potent targeting and/or effector activities on normal tissues is an obvious toxicity concern. Optimization of specific tumor targeting could be achieved by taking advantage of the extracellular acidity of solid tumors relative to normal tissues. Here, we applied a structure-based computational approach to engineer anti-human epidermal growth factor receptor 2 (Her2) antibodies with selective binding in the acidic tumor microenvironment. We used an affinity maturation platform in which dual-pH histidine-scanning mutagenesis was implemented for pH selectivity optimization. Testing of a small set of designs for binding to the recombinant Her2 ectodomain led to the identification of antigen-binding fragment (Fab) variants with the desired pH-dependent binding behavior. Binding selectivity toward acidic pH was improved by as much as 25-fold relative to the parental bH1-Fab. In vitro experiments on cells expressing intact Her2 confirmed that designed variants formatted as IgG1/k full-size antibodies have high affinity and inhibit the growth of tumor spheroids at a level comparable to that of the benchmark anti-Her2 antibody trastuzumab (Herceptin®) at acidic pH, whereas these effects were significantly reduced at physiological pH. In contrast, both Herceptin and the parental bH1 antibody exhibited strong cell binding and growth inhibition irrespective of pH. This work demonstrates the feasibility of computational optimization of antibodies for selective targeting of the acidic environment such as that found in many solid tumors.https://www.tandfonline.com/doi/10.1080/19420862.2019.1682866Virtual histidine scanningacidic pH selectivitycell bindingspheroid growthtumor targeting
spellingShingle Traian Sulea
Nazanin Rohani
Jason Baardsnes
Christopher R. Corbeil
Christophe Deprez
Yuneivy Cepero-Donates
Alma Robert
Joseph D. Schrag
Marie Parat
Mélanie Duchesne
Maria L. Jaramillo
Enrico O. Purisima
John C. Zwaagstra
Structure-based engineering of pH-dependent antibody binding for selective targeting of solid-tumor microenvironment
mAbs
Virtual histidine scanning
acidic pH selectivity
cell binding
spheroid growth
tumor targeting
title Structure-based engineering of pH-dependent antibody binding for selective targeting of solid-tumor microenvironment
title_full Structure-based engineering of pH-dependent antibody binding for selective targeting of solid-tumor microenvironment
title_fullStr Structure-based engineering of pH-dependent antibody binding for selective targeting of solid-tumor microenvironment
title_full_unstemmed Structure-based engineering of pH-dependent antibody binding for selective targeting of solid-tumor microenvironment
title_short Structure-based engineering of pH-dependent antibody binding for selective targeting of solid-tumor microenvironment
title_sort structure based engineering of ph dependent antibody binding for selective targeting of solid tumor microenvironment
topic Virtual histidine scanning
acidic pH selectivity
cell binding
spheroid growth
tumor targeting
url https://www.tandfonline.com/doi/10.1080/19420862.2019.1682866
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