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Translational Modeling Predicts Efficacious Therapeutic Dosing Range of Teclistamab for Multiple Myeloma
BACKGROUND: Teclistamab (JNJ-64007957), a B-cell maturation antigen × CD3 bispecific antibody, displayed potent T-cell–mediated cytotoxicity of multiple myeloma cells in preclinical studies. OBJECTIVE: A first-in-human, Phase I, dose escalation study (MajesTEC-1) is evaluating teclistamab in patient...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9345835/ https://www.ncbi.nlm.nih.gov/pubmed/35749004 http://dx.doi.org/10.1007/s11523-022-00893-y |
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author | Girgis, Suzette Lin, Shun Xin Wang Pillarisetti, Kodandaram Banerjee, Arnob Stephenson, Tara Ma, Xuewen Shetty, Shoba Yang, Tong-Yuan Hilder, Brandi W. Jiao, Qun Hanna, Brett Adams, Homer C Sun, Yu-Nien Sharma, Amarnath Smit, Jennifer Infante, Jeffrey R. Goldberg, Jenna D. Elsayed, Yusri |
author_facet | Girgis, Suzette Lin, Shun Xin Wang Pillarisetti, Kodandaram Banerjee, Arnob Stephenson, Tara Ma, Xuewen Shetty, Shoba Yang, Tong-Yuan Hilder, Brandi W. Jiao, Qun Hanna, Brett Adams, Homer C Sun, Yu-Nien Sharma, Amarnath Smit, Jennifer Infante, Jeffrey R. Goldberg, Jenna D. Elsayed, Yusri |
author_sort | Girgis, Suzette |
collection | PubMed |
description | BACKGROUND: Teclistamab (JNJ-64007957), a B-cell maturation antigen × CD3 bispecific antibody, displayed potent T-cell–mediated cytotoxicity of multiple myeloma cells in preclinical studies. OBJECTIVE: A first-in-human, Phase I, dose escalation study (MajesTEC-1) is evaluating teclistamab in patients with relapsed/refractory multiple myeloma. PATIENTS AND METHODS: To estimate the efficacious therapeutic dosing range of teclistamab, pharmacokinetic (PK) data following the first cycle doses in the low-dose cohorts in the Phase I study were modeled using a 2-compartment model and simulated to predict the doses that would have average and trough serum teclistamab concentrations in the expected therapeutic range (between EC(50) and EC(90) values from an ex vivo cytotoxicity assay). RESULTS: The doses predicted to have average serum concentrations between the EC(50) and EC(90) range were validated. In addition, simulations showed that weekly intravenous and subcutaneous doses of 0.70 mg/kg and 0.72 mg/kg, respectively, resulted in mean trough levels comparable to the maximum EC(90). The most active doses in the Phase I study were weekly intravenous doses of 0.27 and 0.72 mg/kg and weekly subcutaneous doses of 0.72 and 1.5 mg/kg, with the weekly 1.5 mg/kg subcutaneous doses selected as the recommended Phase II dose (RP2D). With active doses, exposure was maintained above the mean EC(90). All patients who responded to the RP2D of teclistamab had exposure above the maximum EC(90) in both serum and bone marrow on cycle 3, Day 1 of treatment. CONCLUSIONS: Our findings show that PK simulations of early clinical data together with ex vivo cytotoxicity estimates can inform the identification of a bispecific antibody’s therapeutic range. CLINICAL TRIAL REGISTRATION: NCT03145181, date of registration: May 9, 2017. |
format | Online Article Text |
id | pubmed-9345835 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-93458352022-08-04 Translational Modeling Predicts Efficacious Therapeutic Dosing Range of Teclistamab for Multiple Myeloma Girgis, Suzette Lin, Shun Xin Wang Pillarisetti, Kodandaram Banerjee, Arnob Stephenson, Tara Ma, Xuewen Shetty, Shoba Yang, Tong-Yuan Hilder, Brandi W. Jiao, Qun Hanna, Brett Adams, Homer C Sun, Yu-Nien Sharma, Amarnath Smit, Jennifer Infante, Jeffrey R. Goldberg, Jenna D. Elsayed, Yusri Target Oncol Original Research Article BACKGROUND: Teclistamab (JNJ-64007957), a B-cell maturation antigen × CD3 bispecific antibody, displayed potent T-cell–mediated cytotoxicity of multiple myeloma cells in preclinical studies. OBJECTIVE: A first-in-human, Phase I, dose escalation study (MajesTEC-1) is evaluating teclistamab in patients with relapsed/refractory multiple myeloma. PATIENTS AND METHODS: To estimate the efficacious therapeutic dosing range of teclistamab, pharmacokinetic (PK) data following the first cycle doses in the low-dose cohorts in the Phase I study were modeled using a 2-compartment model and simulated to predict the doses that would have average and trough serum teclistamab concentrations in the expected therapeutic range (between EC(50) and EC(90) values from an ex vivo cytotoxicity assay). RESULTS: The doses predicted to have average serum concentrations between the EC(50) and EC(90) range were validated. In addition, simulations showed that weekly intravenous and subcutaneous doses of 0.70 mg/kg and 0.72 mg/kg, respectively, resulted in mean trough levels comparable to the maximum EC(90). The most active doses in the Phase I study were weekly intravenous doses of 0.27 and 0.72 mg/kg and weekly subcutaneous doses of 0.72 and 1.5 mg/kg, with the weekly 1.5 mg/kg subcutaneous doses selected as the recommended Phase II dose (RP2D). With active doses, exposure was maintained above the mean EC(90). All patients who responded to the RP2D of teclistamab had exposure above the maximum EC(90) in both serum and bone marrow on cycle 3, Day 1 of treatment. CONCLUSIONS: Our findings show that PK simulations of early clinical data together with ex vivo cytotoxicity estimates can inform the identification of a bispecific antibody’s therapeutic range. CLINICAL TRIAL REGISTRATION: NCT03145181, date of registration: May 9, 2017. Springer International Publishing 2022-06-24 2022 /pmc/articles/PMC9345835/ /pubmed/35749004 http://dx.doi.org/10.1007/s11523-022-00893-y Text en © The Author(s) 2022, corrected publication 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial 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-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Original Research Article Girgis, Suzette Lin, Shun Xin Wang Pillarisetti, Kodandaram Banerjee, Arnob Stephenson, Tara Ma, Xuewen Shetty, Shoba Yang, Tong-Yuan Hilder, Brandi W. Jiao, Qun Hanna, Brett Adams, Homer C Sun, Yu-Nien Sharma, Amarnath Smit, Jennifer Infante, Jeffrey R. Goldberg, Jenna D. Elsayed, Yusri Translational Modeling Predicts Efficacious Therapeutic Dosing Range of Teclistamab for Multiple Myeloma |
title | Translational Modeling Predicts Efficacious Therapeutic Dosing Range of Teclistamab for Multiple Myeloma |
title_full | Translational Modeling Predicts Efficacious Therapeutic Dosing Range of Teclistamab for Multiple Myeloma |
title_fullStr | Translational Modeling Predicts Efficacious Therapeutic Dosing Range of Teclistamab for Multiple Myeloma |
title_full_unstemmed | Translational Modeling Predicts Efficacious Therapeutic Dosing Range of Teclistamab for Multiple Myeloma |
title_short | Translational Modeling Predicts Efficacious Therapeutic Dosing Range of Teclistamab for Multiple Myeloma |
title_sort | translational modeling predicts efficacious therapeutic dosing range of teclistamab for multiple myeloma |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9345835/ https://www.ncbi.nlm.nih.gov/pubmed/35749004 http://dx.doi.org/10.1007/s11523-022-00893-y |
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