Cargando…
Modeling the dynamics of antibody–target binding in living tumors
Antibodies have become an attractive class of therapeutic agents for solid tumors, mainly because of their high target selectivity and affinity. The target binding properties of antibodies are critical for their efficacy and toxicity. Our lab has developed a bioluminescence resonance energy transfer...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7542163/ https://www.ncbi.nlm.nih.gov/pubmed/33028895 http://dx.doi.org/10.1038/s41598-020-73711-y |
_version_ | 1783591506216484864 |
---|---|
author | Tang, Yu Cao, Yanguang |
author_facet | Tang, Yu Cao, Yanguang |
author_sort | Tang, Yu |
collection | PubMed |
description | Antibodies have become an attractive class of therapeutic agents for solid tumors, mainly because of their high target selectivity and affinity. The target binding properties of antibodies are critical for their efficacy and toxicity. Our lab has developed a bioluminescence resonance energy transfer (BRET) imaging approach that directly supports the measurement of the binding dynamics between antibodies and their targets in the native tumor environment. In the present study, we have developed a spatially resolved computational model analyzing the longitudinal BRET imaging data of antibody–target binding and exploring the mechanisms of biphasic binding dynamics between a model antibody cetuximab and its target, the epidermal growth factor receptor (EGFR). The model suggested that cetuximab is bound differently to EGFR in the stroma-rich area than in stroma-poor regions, which was confirmed by immunofluorescence staining. Compared to the binding in vitro, cetuximab bound to EGFR to a “slower-but-tighter” degree in the living tumors. These findings have provided spatially resolved characterizations of antibody–target binding in living tumors and have yielded many mechanistic insights into the factors that affect antibody interactions with its targets and treatment efficacy. |
format | Online Article Text |
id | pubmed-7542163 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75421632020-10-08 Modeling the dynamics of antibody–target binding in living tumors Tang, Yu Cao, Yanguang Sci Rep Article Antibodies have become an attractive class of therapeutic agents for solid tumors, mainly because of their high target selectivity and affinity. The target binding properties of antibodies are critical for their efficacy and toxicity. Our lab has developed a bioluminescence resonance energy transfer (BRET) imaging approach that directly supports the measurement of the binding dynamics between antibodies and their targets in the native tumor environment. In the present study, we have developed a spatially resolved computational model analyzing the longitudinal BRET imaging data of antibody–target binding and exploring the mechanisms of biphasic binding dynamics between a model antibody cetuximab and its target, the epidermal growth factor receptor (EGFR). The model suggested that cetuximab is bound differently to EGFR in the stroma-rich area than in stroma-poor regions, which was confirmed by immunofluorescence staining. Compared to the binding in vitro, cetuximab bound to EGFR to a “slower-but-tighter” degree in the living tumors. These findings have provided spatially resolved characterizations of antibody–target binding in living tumors and have yielded many mechanistic insights into the factors that affect antibody interactions with its targets and treatment efficacy. Nature Publishing Group UK 2020-10-07 /pmc/articles/PMC7542163/ /pubmed/33028895 http://dx.doi.org/10.1038/s41598-020-73711-y 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Tang, Yu Cao, Yanguang Modeling the dynamics of antibody–target binding in living tumors |
title | Modeling the dynamics of antibody–target binding in living tumors |
title_full | Modeling the dynamics of antibody–target binding in living tumors |
title_fullStr | Modeling the dynamics of antibody–target binding in living tumors |
title_full_unstemmed | Modeling the dynamics of antibody–target binding in living tumors |
title_short | Modeling the dynamics of antibody–target binding in living tumors |
title_sort | modeling the dynamics of antibody–target binding in living tumors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7542163/ https://www.ncbi.nlm.nih.gov/pubmed/33028895 http://dx.doi.org/10.1038/s41598-020-73711-y |
work_keys_str_mv | AT tangyu modelingthedynamicsofantibodytargetbindinginlivingtumors AT caoyanguang modelingthedynamicsofantibodytargetbindinginlivingtumors |