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A mAb against surface-expressed FSHR engineered to engage adaptive immunity for ovarian cancer immunotherapy

Despite advances in ovarian cancer (OC) therapy, recurrent OC remains a poor-prognosis disease. Because of the close interaction between OC cells and the tumor microenvironment (TME), it is important to develop strategies that target tumor cells and engage components of the TME. A major obstacle in...

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Autores principales: Bordoloi, Devivasha, Bhojnagarwala, Pratik S., Perales-Puchalt, Alfredo, Kulkarni, Abhijeet J., Zhu, Xizhou, Liaw, Kevin, O’Connell, Ryan P., Park, Daniel H., Kulp, Daniel W., Zhang, Rugang, Weiner, David B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Clinical Investigation 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9746812/
https://www.ncbi.nlm.nih.gov/pubmed/36509287
http://dx.doi.org/10.1172/jci.insight.162553
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author Bordoloi, Devivasha
Bhojnagarwala, Pratik S.
Perales-Puchalt, Alfredo
Kulkarni, Abhijeet J.
Zhu, Xizhou
Liaw, Kevin
O’Connell, Ryan P.
Park, Daniel H.
Kulp, Daniel W.
Zhang, Rugang
Weiner, David B.
author_facet Bordoloi, Devivasha
Bhojnagarwala, Pratik S.
Perales-Puchalt, Alfredo
Kulkarni, Abhijeet J.
Zhu, Xizhou
Liaw, Kevin
O’Connell, Ryan P.
Park, Daniel H.
Kulp, Daniel W.
Zhang, Rugang
Weiner, David B.
author_sort Bordoloi, Devivasha
collection PubMed
description Despite advances in ovarian cancer (OC) therapy, recurrent OC remains a poor-prognosis disease. Because of the close interaction between OC cells and the tumor microenvironment (TME), it is important to develop strategies that target tumor cells and engage components of the TME. A major obstacle in the development of OC therapies is the identification of targets with expression limited to tumor surface to avoid off-target interactions. The follicle-stimulating hormone receptor (FSHR) has selective expression on ovarian granulosa cells and is expressed on 50%–70% of serous OCs. We generated mAbs targeting the external domain of FSHR using in vivo–expressed FSHR vector. By high-throughput flow analysis, we identified multiple clones and downselected D2AP11, a potent FSHR surface–targeted mAb. D2AP11 identifies important OC cell lines derived from tumors with different mutations, including BRCA1/2, and lines resistant to a wide range of therapies. We used D2AP11 to develop a bispecific T cell engager. In vitro addition of PBMCs and T cells to D2AP11-TCE induced specific and potent killing of different genetic and immune escape OC lines, with EC(50)s in the ng/ml range, and attenuated tumor burden in OC-challenged mouse models. These studies demonstrate the potential utility of biologics targeting FSHR for OC and perhaps other FSHR-positive cancers.
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spelling pubmed-97468122022-12-15 A mAb against surface-expressed FSHR engineered to engage adaptive immunity for ovarian cancer immunotherapy Bordoloi, Devivasha Bhojnagarwala, Pratik S. Perales-Puchalt, Alfredo Kulkarni, Abhijeet J. Zhu, Xizhou Liaw, Kevin O’Connell, Ryan P. Park, Daniel H. Kulp, Daniel W. Zhang, Rugang Weiner, David B. JCI Insight Research Article Despite advances in ovarian cancer (OC) therapy, recurrent OC remains a poor-prognosis disease. Because of the close interaction between OC cells and the tumor microenvironment (TME), it is important to develop strategies that target tumor cells and engage components of the TME. A major obstacle in the development of OC therapies is the identification of targets with expression limited to tumor surface to avoid off-target interactions. The follicle-stimulating hormone receptor (FSHR) has selective expression on ovarian granulosa cells and is expressed on 50%–70% of serous OCs. We generated mAbs targeting the external domain of FSHR using in vivo–expressed FSHR vector. By high-throughput flow analysis, we identified multiple clones and downselected D2AP11, a potent FSHR surface–targeted mAb. D2AP11 identifies important OC cell lines derived from tumors with different mutations, including BRCA1/2, and lines resistant to a wide range of therapies. We used D2AP11 to develop a bispecific T cell engager. In vitro addition of PBMCs and T cells to D2AP11-TCE induced specific and potent killing of different genetic and immune escape OC lines, with EC(50)s in the ng/ml range, and attenuated tumor burden in OC-challenged mouse models. These studies demonstrate the potential utility of biologics targeting FSHR for OC and perhaps other FSHR-positive cancers. American Society for Clinical Investigation 2022-11-22 /pmc/articles/PMC9746812/ /pubmed/36509287 http://dx.doi.org/10.1172/jci.insight.162553 Text en © 2022 Bordoloi et al. https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Bordoloi, Devivasha
Bhojnagarwala, Pratik S.
Perales-Puchalt, Alfredo
Kulkarni, Abhijeet J.
Zhu, Xizhou
Liaw, Kevin
O’Connell, Ryan P.
Park, Daniel H.
Kulp, Daniel W.
Zhang, Rugang
Weiner, David B.
A mAb against surface-expressed FSHR engineered to engage adaptive immunity for ovarian cancer immunotherapy
title A mAb against surface-expressed FSHR engineered to engage adaptive immunity for ovarian cancer immunotherapy
title_full A mAb against surface-expressed FSHR engineered to engage adaptive immunity for ovarian cancer immunotherapy
title_fullStr A mAb against surface-expressed FSHR engineered to engage adaptive immunity for ovarian cancer immunotherapy
title_full_unstemmed A mAb against surface-expressed FSHR engineered to engage adaptive immunity for ovarian cancer immunotherapy
title_short A mAb against surface-expressed FSHR engineered to engage adaptive immunity for ovarian cancer immunotherapy
title_sort mab against surface-expressed fshr engineered to engage adaptive immunity for ovarian cancer immunotherapy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9746812/
https://www.ncbi.nlm.nih.gov/pubmed/36509287
http://dx.doi.org/10.1172/jci.insight.162553
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