1
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Vasalou C, Proia TA, Kazlauskas L, Przybyla A, Sung M, Mamidi S, Maratea K, Griffin M, Sargeant R, Urosevic J, Rosenbaum AI, Yuan J, Aluri KC, Ramsden D, Hariparsad N, Jones RD, Mettetal JT. Quantitative evaluation of trastuzumab deruxtecan pharmacokinetics and pharmacodynamics in mouse models of varying degrees of HER2 expression. CPT Pharmacometrics Syst Pharmacol 2024; 13:994-1005. [PMID: 38532525 PMCID: PMC11179703 DOI: 10.1002/psp4.13133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 02/02/2024] [Accepted: 03/08/2024] [Indexed: 03/28/2024] Open
Abstract
Trastuzumab deruxtecan (T-DXd; DS-8201; ENHERTU®) is a human epithelial growth factor receptor 2 (HER2)-directed antibody drug conjugate (ADC) with demonstrated antitumor activity against a range of tumor types. Aiming to understand the relationship between antigen expression and downstream efficacy outcomes, T-DXd was administered in tumor-bearing mice carrying NCI-N87, Capan-1, JIMT-1, and MDA-MB-468 xenografts, characterized by varying HER2 levels. Plasma pharmacokinetics (PK) of total antibody, T-DXd, and released DXd and tumor concentrations of released DXd were evaluated, in addition to monitoring γΗ2AX and pRAD50 pharmacodynamic (PD) response. A positive relationship was observed between released DXd concentrations in tumor and HER2 expression, with NCI-N87 xenografts characterized by the highest exposures compared to the remaining cell lines. γΗ2AX and pRAD50 demonstrated a sustained increase over several days occurring with a time delay relative to tumoral-released DXd concentrations. In vitro investigations of cell-based DXd disposition facilitated the characterization of DXd kinetics across tumor cells. These outputs were incorporated into a mechanistic mathematical model, utilized to describe PK/PD trends. The model captured plasma PK across dosing arms as well as tumor PK in NCI-N87, Capan-1, and MDA-MB-468 models; tumor concentrations in JIMT-1 xenografts required additional parameter adjustments reflective of complex receptor dynamics. γΗ2AX longitudinal trends were well characterized via a unified PD model implemented across xenografts demonstrating the robustness of measured PD trends. This work supports the application of a mechanistic model as a quantitative tool, reliably projecting tumor payload concentrations upon T-DXd administration, as the first step towards preclinical-to-clinical translation.
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Affiliation(s)
| | | | | | - Anna Przybyla
- AstraZeneca Research & DevelopmentWalthamMassachusettsUSA
| | - Matthew Sung
- AstraZeneca Research & DevelopmentWalthamMassachusettsUSA
| | | | - Kim Maratea
- Clinical Pharmacology & Safety SciencesWalthamMassachusettsUSA
| | - Matthew Griffin
- Clinical Pharmacology & Safety SciencesWalthamMassachusettsUSA
| | | | | | - Anton I. Rosenbaum
- Integrated Bioanalysis, Clinical Pharmacology & Safety SciencesSouth San FranciscoCaliforniaUSA
| | - Jiaqi Yuan
- Integrated Bioanalysis, Clinical Pharmacology & Safety SciencesSouth San FranciscoCaliforniaUSA
| | | | - Diane Ramsden
- AstraZeneca Research & DevelopmentWalthamMassachusettsUSA
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2
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Liao MZ, Leipold DD, Chen SC, Li Z, Kamath AV, Li C. Translational PK/PD framework for antibody-drug conjugates to inform drug discovery and development. Xenobiotica 2024:1-11. [PMID: 38738473 DOI: 10.1080/00498254.2024.2351044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 04/30/2024] [Indexed: 05/14/2024]
Abstract
(171/200)ADCs represent a transformative class of medicine that combines the specificity of monoclonal antibodies with the potency of highly cytotoxic agents through linkers, aiming to enhance the therapeutic index of cytotoxic drugs. Given the complex molecular structures of ADCs, combining the molecular characteristics of small-molecule drugs and those of large-molecule biotherapeutics, there are several unique considerations when designing nonclinical-to-clinical PK/PD translation strategies.This complexity also demands a thorough understanding of the ADC's components-antibody, linker, and payload-to the overall toxicological, PK/PD, and efficacy profile. ADC development is a multidisciplinary endeavor requiring a strategic integration of nonclinical safety, pharmacology, and PK/PD modeling to translate from bench to bedside successfully.The ADC development underscores the necessity for a robust scientific foundation, leveraging advanced analytical and modeling tools to predict human responses and optimize therapeutic outcomes.This review aims to provide an ADC translational PK/PD framework by discussing unique aspects of ADC nonclinical to clinical PK translation, starting dose determination, and leveraging PK/PD modeling for human efficacious dose prediction and potential safety mitigation.
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Affiliation(s)
| | | | | | - Zao Li
- Genentech Inc., South San Francisco, CA, 94080
| | | | - Chunze Li
- Genentech Inc., South San Francisco, CA, 94080
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3
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Huang Q, Ravindra Pilvankar M, Dixit R, Yu H. Approaches to Improve the Translation of Safety, Pharmacokinetics and Therapeutic Index of ADCs. Xenobiotica 2024:1-16. [PMID: 38733255 DOI: 10.1080/00498254.2024.2352600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Accepted: 05/03/2024] [Indexed: 05/13/2024]
Abstract
Antibody-drug conjugates (ADCs) are an important class of cancer therapies. They are complex molecules, comprising an antibody, a cytotoxic payload, and a linker. ADCs intend to confer high specificity by targeting a unique antigen expressed predominately on the surface of the tumor cells than on the normal cells and by releasing the potent cytotoxic drug inside the tumor causing cytotoxic cell death. Despite high specificity to tumor antigens, many ADCs are associated with off-target and on-target off-tumor toxicities, often leading to safety concerns before achieving the desirable clinical efficacy. Therefore, it is crucial to improve the therapeutic index (TI) of ADCs to enable the full potential of this important therapeutic modality.The review summarizes current approaches to improve the translation of safety, pharmacokinetics, and TI of ADCs. Common safety findings of ADCs resulting from off-target and on-target toxicities and nonclinical approaches to de-risk ADC safety will be discussed; multiple approaches of using preclinical and clinical dose and exposure data to calculate TI to guide clinical dosing will be elaborated; different approaches to improve TI of ADCs, including selecting the right target, right payload-linker and patients, optimizing physicochemical properties, and using fractionation dosing, will also be discussed.
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Affiliation(s)
- Qihong Huang
- Nonclinical Drug Safety, Boehringer Ingelheim Pharmaceuticals, Inc., 900 Ridgebury Road, Ridgefield, CT, USA 06877
| | - Minu Ravindra Pilvankar
- NBE PK, Biotherapeutics Discovery, Boehringer Ingelheim Pharmaceuticals, Inc., 900 Ridgebury Road, Ridgefield, CT, USA 06877
| | - Rakesh Dixit
- Bionavigen Oncology, LLC, GAITHERSBURG, MD, USA 20878
| | - Hongbin Yu
- NBE PK, Biotherapeutics Discovery, Boehringer Ingelheim Pharmaceuticals, Inc., 900 Ridgebury Road, Ridgefield, CT, USA 06877
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4
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Yu J, Li M, Liu X, Wu S, Li R, Jiang Y, Zheng J, Li Z, Xin K, Xu Z, Li S, Chen X. Implementation of antibody-drug conjugates in HER2-positive solid cancers: Recent advances and future directions. Biomed Pharmacother 2024; 174:116522. [PMID: 38565055 DOI: 10.1016/j.biopha.2024.116522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 03/21/2024] [Accepted: 03/28/2024] [Indexed: 04/04/2024] Open
Abstract
In recent decades, there has been a surge in the approval of monoclonal antibodies for treating a wide range of hematological and solid malignancies. These antibodies exhibit exceptional precision in targeting the surface antigens of tumors, heralding a groundbreaking approach to cancer therapy. Nevertheless, monoclonal antibodies alone do not show sufficient lethality against cancerous cells compared to chemotherapy. Consequently, a new class of anti-tumor medications, known as antibody-drug conjugates (ADCs), has been developed to bridge the divide between monoclonal antibodies and cytotoxic drugs, enhancing their therapeutic potential. ADCs are chemically synthesized by binding tumor-targeting monoclonal antibodies with cytotoxic payloads through linkers that are susceptible to cleavage by intracellular proteases. They combined the accurate targeting of monoclonal antibodies with the potent efficacy of cytotoxic chemotherapy drugs while circumventing systemic toxicity and boasting superior lethality over standalone targeted drugs. The human epidermal growth factor receptor (HER) family, which encompasses HER1 (also known as EGFR), HER2, HER3, and HER4, plays a key role in regulating cellular proliferation, survival, differentiation, and migration. HER2 overexpression in various tumors is one of the most frequently targeted antigens for ADC therapy in HER2-positive cancers. HER2-directed ADCs have emerged as highly promising treatment modalities for patients with HER2-positive cancers. This review focuses on three approved anti-HER2 ADCs (T-DM1, DS-8201a, and RC48) and reviews ongoing clinical trials and failed trials based on anti-HER2 ADCs. Finally, we address the notable challenges linked to ADC development and underscore potential future avenues for tackling these hurdles.
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Affiliation(s)
- Jiazheng Yu
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, People's Republic of China
| | - Mingyang Li
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, People's Republic of China
| | - Xiandong Liu
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, People's Republic of China
| | - Siyu Wu
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, People's Republic of China
| | - Rong Li
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, People's Republic of China
| | - Yuanhong Jiang
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, People's Republic of China
| | - Jianyi Zheng
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, People's Republic of China
| | - Zeyu Li
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, People's Republic of China
| | - Kerong Xin
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, People's Republic of China
| | - Zhenqun Xu
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, People's Republic of China.
| | - Shijie Li
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, People's Republic of China.
| | - Xiaonan Chen
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, People's Republic of China.
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Li Y, Su J, Tan S, Luo Y, Zhang L. Research progress on novel antibody drug conjugates in cancer therapy. ZHONG NAN DA XUE XUE BAO. YI XUE BAN = JOURNAL OF CENTRAL SOUTH UNIVERSITY. MEDICAL SCIENCES 2024; 49:296-304. [PMID: 38755726 PMCID: PMC11103054 DOI: 10.11817/j.issn.1672-7347.2024.230418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Indexed: 05/18/2024]
Abstract
Traditional antibody drug conjugates (ADC) combine monoclonal antibodies with cytotoxic drugs to accurately strike cancer cells, but there are still many shortcomings in stability, targeting, efficacy, and safety. Novel ADC, such as bi-specific, site-specific, dual-payload, and pro-drug type ADC, can be optimized by simultaneously binding 2 different antigens or epitopes, selecting more stable linkers, coupling with specific amino acid sites of antibodies, carrying different drug payloads, and adopting prodrug strategies, while retaining the characteristics of traditional ADC. Significantly improving the stability, targeting, efficacy and safety of drugs can better meet the needs of clinical treatment. Novel ADC will play a more important role in cancer treatment in the future. Discussing the progress of novel ADC in cancer treatment and analyzing their advantages and challenges can provide theoretical support for the development of anti-cancer strategies and provide directions for drug research and development.
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Affiliation(s)
- Yuning Li
- Thoracic Medicine Department 1, Hunan Cancer Hospital, Changsha 410013.
- College of Life Science and Health, Hunan University of Science and Technology, Xiangtan Hunan 411201, China.
| | - Jialin Su
- Thoracic Medicine Department 1, Hunan Cancer Hospital, Changsha 410013
- College of Life Science and Health, Hunan University of Science and Technology, Xiangtan Hunan 411201, China
| | - Shuhua Tan
- College of Life Science and Health, Hunan University of Science and Technology, Xiangtan Hunan 411201, China
| | - Yongzhong Luo
- Thoracic Medicine Department 1, Hunan Cancer Hospital, Changsha 410013
| | - Lemeng Zhang
- Thoracic Medicine Department 1, Hunan Cancer Hospital, Changsha 410013.
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6
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Scheuher B, Ghusinga KR, McGirr K, Nowak M, Panday S, Apgar J, Subramanian K, Betts A. Towards a platform quantitative systems pharmacology (QSP) model for preclinical to clinical translation of antibody drug conjugates (ADCs). J Pharmacokinet Pharmacodyn 2023:10.1007/s10928-023-09884-6. [PMID: 37787918 DOI: 10.1007/s10928-023-09884-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 08/16/2023] [Indexed: 10/04/2023]
Abstract
A next generation multiscale quantitative systems pharmacology (QSP) model for antibody drug conjugates (ADCs) is presented, for preclinical to clinical translation of ADC efficacy. Two HER2 ADCs (trastuzumab-DM1 and trastuzumab-DXd) were used for model development, calibration, and validation. The model integrates drug specific experimental data including in vitro cellular disposition data, pharmacokinetic (PK) and tumor growth inhibition (TGI) data for T-DM1 and T-DXd, as well as system specific data such as properties of HER2, tumor growth rates, and volumes. The model incorporates mechanistic detail at the intracellular level, to account for different mechanisms of ADC processing and payload release. It describes the disposition of the ADC, antibody, and payload inside and outside of the tumor, including binding to off-tumor, on-target sinks. The resulting multiscale PK model predicts plasma and tumor concentrations of ADC and payload. Tumor payload concentrations predicted by the model were linked to a TGI model and used to describe responses following ADC administration to xenograft mice. The model was translated to humans and virtual clinical trial simulations were performed that successfully predicted progression free survival response for T-DM1 and T-DXd for the treatment of HER2+ metastatic breast cancer, including differential efficacy based upon HER2 expression status. In conclusion, the presented model is a step toward a platform QSP model and strategy for ADCs, integrating multiple types of data and knowledge to predict ADC efficacy. The model has potential application to facilitate ADC design, lead candidate selection, and clinical dosing schedule optimization.
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Affiliation(s)
- Bruna Scheuher
- Applied BioMath, 561 Virginia Road, Concord, MA, 01742, USA
- DMPK and Modeling, Takeda, Boston, MA, United States
| | | | - Kimiko McGirr
- Applied BioMath, 561 Virginia Road, Concord, MA, 01742, USA
| | | | - Sheetal Panday
- Applied BioMath, 561 Virginia Road, Concord, MA, 01742, USA
| | - Joshua Apgar
- Applied BioMath, 561 Virginia Road, Concord, MA, 01742, USA
| | - Kalyanasundaram Subramanian
- Applied BioMath, 561 Virginia Road, Concord, MA, 01742, USA
- Differentia Bio, Pleasanton, California, United States
| | - Alison Betts
- Applied BioMath, 561 Virginia Road, Concord, MA, 01742, USA.
- DMPK and Modeling, Takeda, Boston, MA, United States.
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7
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Najminejad Z, Dehghani F, Mirzaei Y, Mer AH, Saghi SA, Abdolvahab MH, Bagheri N, Meyfour A, Jafari A, Jahandideh S, Gharibi T, Amirkhani Z, Delam H, Mashatan N, Shahsavarani H, Abdollahpour-Alitappeh M. Clinical perspective: Antibody-drug conjugates for the treatment of HER2-positive breast cancer. Mol Ther 2023; 31:1874-1903. [PMID: 36950736 PMCID: PMC10362395 DOI: 10.1016/j.ymthe.2023.03.019] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 01/31/2023] [Accepted: 03/16/2023] [Indexed: 03/24/2023] Open
Abstract
Antibody-drug conjugates (ADCs) are a promising class of cancer biopharmaceuticals that exploit the specificity of a monoclonal antibody (mAb) to selectively deliver highly cytotoxic small molecules to targeted cancer cells, leading to an enhanced therapeutic index through increased antitumor activity and decreased off-target toxicity. ADCs hold great promise for the treatment of patients with human epidermal growth factor receptor 2 (HER2)-positive breast cancer after the approval and tremendous success of trastuzumab emtansine and trastuzumab deruxtecan, representing a turning point in both HER2-positive breast cancer treatment and ADC technology. Additionally and importantly, a total of 29 ADC candidates are now being investigated in different stages of clinical development for the treatment of HER2-positive breast cancer. The purpose of this review is to provide an insight into the ADC field in cancer treatment and present a comprehensive overview of ADCs approved or under clinical investigation for the treatment of HER2-positive breast cancer.
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Affiliation(s)
- Zohreh Najminejad
- Department of Internal Medicine, School of Medicine, Kerman University of Medical Sciences, Kerman 7616913355, Iran
| | - Fatemeh Dehghani
- Student Research Committee, Larestan University of Medical Sciences, Larestan 7431895639, Iran
| | - Yousef Mirzaei
- Department of Medical Biochemical Analysis, Cihan University-Erbil, Kurdistan Region, Erbil 44001, Iraq
| | - Ali Hussein Mer
- Department of Nursing, Mergasour Technical Institute, Erbil Polytechnic University, Erbil 44001, Iraq
| | - Seyyed Amirreza Saghi
- Student Research Committee, Larestan University of Medical Sciences, Larestan 7431895639, Iran
| | - Mohadeseh Haji Abdolvahab
- Recombinant Proteins Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran 1517964311, Iran
| | - Nader Bagheri
- Cellular and Molecular Research Center, Basic Health Sciences Institute, Shahrekord University of Medical Sciences, Shahrekord 8813733450, Iran
| | - Anna Meyfour
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran 1985717413, Iran
| | - Ameneh Jafari
- ATMP Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran 1517964311, Iran
| | - Saeed Jahandideh
- Department of Research and Development, Orchidgene co, Tehran 1387837584, Iran
| | - Tohid Gharibi
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz 5165665931, Iran
| | - Zahra Amirkhani
- Student Research Committee, Larestan University of Medical Sciences, Larestan 7431895639, Iran
| | - Hamed Delam
- Student Research Committee, Larestan University of Medical Sciences, Larestan 7431895639, Iran
| | - Noushin Mashatan
- Graduated, School of Applied Sciences, University of Brighton, Brighton BN2 4GJ, UK.
| | - Hosein Shahsavarani
- Department of Cell and Molecular Biology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran 1983963113, Iran.
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White MJ, Cheatham L, Wen S, Scarfe G, Cidado J, Reimer C, Hariparsad N, Jones RDO, Drew L, McGinnity DF, Vasalou C. A PKPD Case Study: Achieving Clinically Relevant Exposures of AZD5991 in Oncology Mouse Models. AAPS J 2023; 25:66. [PMID: 37380821 DOI: 10.1208/s12248-023-00836-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 06/13/2023] [Indexed: 06/30/2023] Open
Abstract
Capturing human equivalent drug exposures preclinically is a key challenge in the translational process. Motivated by the need to recapitulate the pharmacokinetic (PK) profile of the clinical stage Mcl-1 inhibitor AZD5991 in mice, we describe the methodology used to develop a refined mathematical model relating clinically relevant concentration profiles to efficacy. Administration routes were explored to achieve target exposures matching the clinical exposure of AZD5991. Intravenous infusion using vascular access button (VAB) technology was found to best reproduce clinical target exposures of AZD5991 in mice. Exposure-efficacy relationships were evaluated, demonstrating that dissimilar PK profiles result in differences in target engagement and efficacy outcomes. Thus, these data underscore the importance of accurately ascribing key PK metrics in the translational process to enable clinically meaningful predictions of efficacy.
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Affiliation(s)
- Michael J White
- AstraZeneca Research and Development Boston: AstraZeneca R&D Boston, Waltham, Massachusetts, USA.
| | - Letitia Cheatham
- AstraZeneca Research and Development Boston: AstraZeneca R&D Boston, Waltham, Massachusetts, USA
| | - Shenghua Wen
- AstraZeneca Research and Development Boston: AstraZeneca R&D Boston, Waltham, Massachusetts, USA
| | - Graeme Scarfe
- AstraZeneca Research and Development Boston: AstraZeneca R&D Boston, Waltham, Massachusetts, USA
| | - Justin Cidado
- AstraZeneca Research and Development Boston: AstraZeneca R&D Boston, Waltham, Massachusetts, USA
| | - Corinne Reimer
- AstraZeneca Research and Development Boston: AstraZeneca R&D Boston, Waltham, Massachusetts, USA
| | - Niresh Hariparsad
- AstraZeneca Research and Development Boston: AstraZeneca R&D Boston, Waltham, Massachusetts, USA
| | - Rhys D O Jones
- AstraZeneca Research and Development Boston: AstraZeneca R&D Boston, Waltham, Massachusetts, USA
| | - Lisa Drew
- AstraZeneca Research and Development Boston: AstraZeneca R&D Boston, Waltham, Massachusetts, USA
| | - Dermot F McGinnity
- AstraZeneca Research and Development Boston: AstraZeneca R&D Boston, Waltham, Massachusetts, USA
| | - Christina Vasalou
- AstraZeneca Research and Development Boston: AstraZeneca R&D Boston, Waltham, Massachusetts, USA
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9
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Baaz M, Cardilin T, Lignet F, Zimmermann A, El Bawab S, Gabrielsson J, Jirstrand M. Model-based assessment of combination therapies - ranking of radiosensitizing agents in oncology. BMC Cancer 2023; 23:409. [PMID: 37149596 PMCID: PMC10164338 DOI: 10.1186/s12885-023-10899-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Accepted: 04/27/2023] [Indexed: 05/08/2023] Open
Abstract
BACKGROUND To increase the chances of finding efficacious anticancer drugs, improve development times and reduce costs, it is of interest to rank test compounds based on their potential for human use as early as possible in the drug development process. In this paper, we present a method for ranking radiosensitizers using preclinical data. METHODS We used data from three xenograft mice studies to calibrate a model that accounts for radiation treatment combined with radiosensitizers. A nonlinear mixed effects approach was utilized where between-subject variability and inter-study variability were considered. Using the calibrated model, we ranked three different Ataxia telangiectasia-mutated inhibitors in terms of anticancer activity. The ranking was based on the Tumor Static Exposure (TSE) concept and primarily illustrated through TSE-curves. RESULTS The model described data well and the predicted number of eradicated tumors was in good agreement with experimental data. The efficacy of the radiosensitizers was evaluated for the median individual and the 95% population percentile. Simulations predicted that a total dose of 220 Gy (5 radiation sessions a week for 6 weeks) was required for 95% of tumors to be eradicated when radiation was given alone. When radiation was combined with doses that achieved at least 8 [Formula: see text] of each radiosensitizer in mouse blood, it was predicted that the radiation dose could be decreased to 50, 65, and 100 Gy, respectively, while maintaining 95% eradication. CONCLUSIONS A simulation-based method for calculating TSE-curves was developed, which provides more accurate predictions of tumor eradication than earlier, analytically derived, TSE-curves. The tool we present can potentially be used for radiosensitizer selection before proceeding to subsequent phases of the drug discovery and development process.
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Affiliation(s)
- Marcus Baaz
- Fraunhofer-Chalmers Research Centre for Industrial Mathematics, Gothenburg, Sweden.
- Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden.
| | - Tim Cardilin
- Fraunhofer-Chalmers Research Centre for Industrial Mathematics, Gothenburg, Sweden
| | - Floriane Lignet
- Translational Medicine, Quantitative Pharmacology, Merck Healthcare KGaA, Darmstadt, Germany
| | - Astrid Zimmermann
- Translation Innovation Platform Oncology, Merck Healthcare KGaA, Darmstadt, Germany
| | - Samer El Bawab
- Translational Medicine, Quantitative Pharmacology, Merck Healthcare KGaA, Darmstadt, Germany
- Present Address: Translational Medicine, Servier, Suresnes, France
| | | | - Mats Jirstrand
- Fraunhofer-Chalmers Research Centre for Industrial Mathematics, Gothenburg, Sweden
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10
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Beaumont K, Pike A, Davies M, Savoca A, Vasalou C, Harlfinger S, Ramsden D, Ferguson D, Hariparsad N, Jones O, McGinnity D. ADME and DMPK considerations for the discovery and development of antibody drug conjugates (ADCs). Xenobiotica 2022; 52:770-785. [PMID: 36314242 DOI: 10.1080/00498254.2022.2141667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
The therapeutic concept of antibody drug conjugates (ADCs) is to selectively target tumour cells with small molecule cytotoxic drugs to maximise cell kill benefit and minimise healthy tissue toxicity.An ADC generally consists of an antibody that targets a protein on the surface of tumour cells chemically linked to a warhead small molecule cytotoxic drug.To deliver the warhead to the tumour cell, the antibody must bind to the target protein and in general be internalised into the cell. Following internalisation, the cytotoxic agent can be released in the endosomal or lysosomal compartment (via different mechanisms). Diffusion or transport out of the endosome or lysosome allows the cytotoxic drug to express its cell-killing pharmacology. Alternatively, some ADCs (e.g. EDB-ADCs) rely on extracellular cleavage releasing membrane permeable warheads.One potentially important aspect of the ADC mechanism is the 'bystander effect' whereby the cytotoxic drug released in the targeted cell can diffuse out of that cell and into other (non-target expressing) tumour cells to exert its cytotoxic effect. This is important as solid tumours tend to be heterogeneous and not all cells in a tumour will express the targeted protein.The combination of large and small molecule aspects in an ADC poses significant challenges to the disposition scientist in describing the ADME properties of the entire molecule.This article will review the ADC landscape and the ADME properties of successful ADCs, with the aim of outlining best practice and providing a perspective of how the field can further facilitate the discovery and development of these important therapeutic modalities.
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Affiliation(s)
- Kevin Beaumont
- Drug Metabolism and Pharmacokinetics, Early Oncology Research and Development, Cambridge, UK
| | - Andy Pike
- Drug Metabolism and Pharmacokinetics, Early Oncology Research and Development, Cambridge, UK
| | - Michael Davies
- Drug Metabolism and Pharmacokinetics, Early Oncology Research and Development, Cambridge, UK
| | - Adriana Savoca
- Drug Metabolism and Pharmacokinetics, Early Oncology Research and Development, Cambridge, UK
| | - Christina Vasalou
- Drug Metabolism and Pharmacokinetics, Early Oncology Research and Development, AstraZeneca, Boston, MA, USA
| | - Steffi Harlfinger
- Drug Metabolism and Pharmacokinetics, Early Oncology Research and Development, Cambridge, UK
| | - Diane Ramsden
- Drug Metabolism and Pharmacokinetics, Early Oncology Research and Development, AstraZeneca, Boston, MA, USA
| | - Douglas Ferguson
- Drug Metabolism and Pharmacokinetics, Early Oncology Research and Development, AstraZeneca, Boston, MA, USA
| | - Niresh Hariparsad
- Drug Metabolism and Pharmacokinetics, Early Oncology Research and Development, AstraZeneca, Boston, MA, USA
| | - Owen Jones
- Drug Metabolism and Pharmacokinetics, Early Oncology Research and Development, Cambridge, UK
| | - Dermot McGinnity
- Drug Metabolism and Pharmacokinetics, Early Oncology Research and Development, Cambridge, UK
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Menezes B, Linderman JJ, Thurber GM. Simulating the Selection of Resistant Cells with Bystander Killing and Antibody Coadministration in Heterogeneous Human Epidermal Growth Factor Receptor 2-Positive Tumors. Drug Metab Dispos 2022; 50:8-16. [PMID: 34649966 PMCID: PMC8969196 DOI: 10.1124/dmd.121.000503] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 10/04/2021] [Indexed: 01/03/2023] Open
Abstract
Intratumoral heterogeneity is a leading cause of treatment failure resulting in tumor recurrence. For the antibody-drug conjugate (ADC) ado-trastuzumab emtansine (T-DM1), two major types of resistance include changes in human epidermal growth factor receptor 2 (HER2) expression and reduced payload sensitivity, which is often exacerbated by heterogenous HER2 expression and ADC distribution during treatment. ADCs with bystander payloads, such as trastuzumab-monomethyl auristatin E (T-MMAE), can reach and kill adjacent cells with lower receptor expression that cannot be targeted directly with the ADC. Additionally, coadministration of T-DM1 with its unconjugated antibody, trastuzumab, can improve distribution and minimize heterogeneous delivery. However, the effectiveness of trastuzumab coadministration and ADC bystander killing in heterogenous tumors in reducing the selection of resistant cells is not well understood. Here, we use an agent-based model to predict outcomes with these different regimens. The simulations demonstrate that both T-DM1 and T-MMAE benefit from trastuzumab coadministration for tumors with high average receptor expression (up to 70% and 40% decrease in average tumor volume, respectively), with greater benefit for nonbystander payloads. However, the benefit decreases as receptor expression is reduced, reversing at low concentrations (up to 360% and 430% increase in average tumor volume for T-DM1 and T-MMAE, respectively) for this mechanism that impacts both ADC distribution and efficacy. For tumors with intrinsic payload resistance, coadministration uniformly exhibits better efficacy than ADC monotherapy (50%-70% and 19%-36% decrease in average tumor volume for T-DM1 and T-MMAE, respectively). Finally, we demonstrate that several regimens select for resistant cells at clinical tolerable doses, which highlights the need to pursue other mechanisms of action for durable treatment responses. SIGNIFICANCE STATEMENT: Experimental evidence demonstrates heterogeneity in the distribution of both the antibody-drug conjugate and the target receptor in the tumor microenvironment, which can promote the selection of resistant cells and lead to recurrence. This study quantifies the impact of increasing the antibody dose and utilizing bystander payloads in heterogeneous tumors. Alternative cell-killing mechanisms are needed to avoid enriching resistant cell populations.
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Affiliation(s)
- Bruna Menezes
- Departments of Chemical Engineering (B.M., J.J.L., G.M.T.) and Biomedical Engineering (J.J.L., G.M.T.), University of Michigan, Ann Arbor, Michigan
| | - Jennifer J Linderman
- Departments of Chemical Engineering (B.M., J.J.L., G.M.T.) and Biomedical Engineering (J.J.L., G.M.T.), University of Michigan, Ann Arbor, Michigan
| | - Greg M Thurber
- Departments of Chemical Engineering (B.M., J.J.L., G.M.T.) and Biomedical Engineering (J.J.L., G.M.T.), University of Michigan, Ann Arbor, Michigan
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Díaz-Rodríguez E, Gandullo-Sánchez L, Ocaña A, Pandiella A. Novel ADCs and Strategies to Overcome Resistance to Anti-HER2 ADCs. Cancers (Basel) 2021; 14:154. [PMID: 35008318 PMCID: PMC8750930 DOI: 10.3390/cancers14010154] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 12/27/2021] [Accepted: 12/27/2021] [Indexed: 12/23/2022] Open
Abstract
During recent years, a number of new compounds against HER2 have reached clinics, improving the prognosis and quality of life of HER2-positive breast cancer patients. Nonetheless, resistance to standard-of-care drugs has motivated the development of novel agents, such as new antibody-drug conjugates (ADCs). The latter are a group of drugs that benefit from the potency of cytotoxic agents whose action is specifically guided to the tumor by the target-specific antibody. Two anti-HER2 ADCs have reached the clinic: trastuzumab-emtansine and, more recently, trastuzumab-deruxtecan. In addition, several other HER2-targeted ADCs are in preclinical or clinical development, some of them with promising signs of activity. In the present review, the structure, mechanism of action, and potential resistance to all these ADCs will be described. Specific attention will be given to discussing novel strategies to circumvent resistance to ADCs.
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Affiliation(s)
- Elena Díaz-Rodríguez
- Instituto de Biología Molecular y Celular del Cáncer, CSIC-IBSAL and CIBERONC, 37007 Salamanca, Spain; (E.D.-R.); (L.G.-S.)
- Departamento de Bioquímica y Biología Molecular, University of Salamanca, 37007 Salamanca, Spain
| | - Lucía Gandullo-Sánchez
- Instituto de Biología Molecular y Celular del Cáncer, CSIC-IBSAL and CIBERONC, 37007 Salamanca, Spain; (E.D.-R.); (L.G.-S.)
| | - Alberto Ocaña
- Hospital Clínico San Carlos, Centro de Investigación Biomédica en Red de Oncología (CIBERONC), 28040 Madrid, Spain;
| | - Atanasio Pandiella
- Instituto de Biología Molecular y Celular del Cáncer, CSIC-IBSAL and CIBERONC, 37007 Salamanca, Spain; (E.D.-R.); (L.G.-S.)
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Gandullo-Sánchez L, Ocaña A, Pandiella A. Generation of Antibody-Drug Conjugate Resistant Models. Cancers (Basel) 2021; 13:cancers13184631. [PMID: 34572858 PMCID: PMC8466899 DOI: 10.3390/cancers13184631] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 09/07/2021] [Accepted: 09/10/2021] [Indexed: 12/17/2022] Open
Abstract
Simple Summary Antibody-drug conjugates (ADCs) constitute new and effective therapies in cancer. However, resistance is frequently observed in treated patients after a given period of time. That resistance may be present from the beginning of the treatment (primary or de novo resistance) or raise after an initial response to the ADC (secondary resistance). Knowing the causes of those resistances is a necessity in the field as it may help in designing strategies to overcome them. Because of that, it is necessary to develop models that allow the identification of mechanisms of resistance. In this review, we present different approaches that have been used to model ADC resistance in the preclinical setting, and that include the use of established cell lines, patient-derived ex vivo cultures and xenografts primarily or secondarily resistant to the ADC. Abstract In the last 20 years, antibody-drug conjugates (ADCs) have been incorporated into the oncology clinic as treatments for several types of cancer. So far, the Food and Drug Administration (FDA) has approved 11 ADCs and other ADCs are in the late stages of clinical development. Despite the efficacy of this type of drug, the tumors of some patients may result in resistance to ADCs. Due to this, it is essential not only to comprehend resistance mechanisms but also to develop strategies to overcome resistance to ADCs. To reach these goals, the generation and use of preclinical models to study those mechanisms of resistance are critical. Some cells or patient tumors may result in primary resistance to the action of an ADC, even if they express the antigen against which the ADC is directed. Isolated primary tumoral cells, cell lines, or patient explants (patient-derived xenografts) with these characteristics can be used to study primary resistance. The most common method to generate models of secondary resistance is to treat cancer cell lines or tumors with an ADC. Two strategies, either continuous treatment with the ADC or intermittent treatment, have successfully been used to develop those resistance models.
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Affiliation(s)
- Lucía Gandullo-Sánchez
- Instituto de Biología Molecular y Celular del Cáncer, CSIC, IBSAL and CIBERONC, 37007 Salamanca, Spain;
| | - Alberto Ocaña
- Hospital Clínico San Carlos, 28040 Madrid, Spain;
- Symphogen, DK-2750 Ballerup, Denmark
| | - Atanasio Pandiella
- Instituto de Biología Molecular y Celular del Cáncer, CSIC, IBSAL and CIBERONC, 37007 Salamanca, Spain;
- Correspondence: ; Tel.: +34-923-294-815
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Sancho-Araiz A, Mangas-Sanjuan V, Trocóniz IF. The Role of Mathematical Models in Immuno-Oncology: Challenges and Future Perspectives. Pharmaceutics 2021; 13:pharmaceutics13071016. [PMID: 34371708 PMCID: PMC8309057 DOI: 10.3390/pharmaceutics13071016] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 06/24/2021] [Accepted: 06/29/2021] [Indexed: 12/12/2022] Open
Abstract
Immuno-oncology (IO) focuses on the ability of the immune system to detect and eliminate cancer cells. Since the approval of the first immune checkpoint inhibitor, immunotherapies have become a major player in oncology treatment and, in 2021, represented the highest number of approved drugs in the field. In spite of this, there is still a fraction of patients that do not respond to these therapies and develop resistance mechanisms. In this sense, mathematical models offer an opportunity to identify predictive biomarkers, optimal dosing schedules and rational combinations to maximize clinical response. This work aims to outline the main therapeutic targets in IO and to provide a description of the different mathematical approaches (top-down, middle-out, and bottom-up) integrating the cancer immunity cycle with immunotherapeutic agents in clinical scenarios. Among the different strategies, middle-out models, which combine both theoretical and evidence-based description of tumor growth and immunological cell-type dynamics, represent an optimal framework to evaluate new IO strategies.
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Affiliation(s)
- Aymara Sancho-Araiz
- Department of Pharmaceutical Technology and Chemistry, School of Pharmacy and Nutrition, University of Navarra, 31009 Pamplona, Spain; (A.S.-A.); (I.F.T.)
- Navarra Institute for Health Research (IdiSNA), 31009 Pamplona, Spain
| | - Victor Mangas-Sanjuan
- Department of Pharmacy and Pharmaceutical Technology and Parasitology, University of Valencia, 46100 Valencia, Spain
- Interuniversity Research Institute for Molecular Recognition and Technological Development, 46100 Valencia, Spain
- Correspondence: ; Tel.: +34-96354-3351
| | - Iñaki F. Trocóniz
- Department of Pharmaceutical Technology and Chemistry, School of Pharmacy and Nutrition, University of Navarra, 31009 Pamplona, Spain; (A.S.-A.); (I.F.T.)
- Navarra Institute for Health Research (IdiSNA), 31009 Pamplona, Spain
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Zuo W, Kwok HF. Development of Marine-Derived Compounds for Cancer Therapy. Mar Drugs 2021; 19:md19060342. [PMID: 34203870 PMCID: PMC8232666 DOI: 10.3390/md19060342] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 05/31/2021] [Accepted: 06/11/2021] [Indexed: 12/16/2022] Open
Abstract
Cancer has always been a threat to human health with its high morbidity and mortality rates. Traditional therapy, including surgery, chemotherapy and radiotherapy, plays a key role in cancer treatment. However, it is not able to prevent tumor recurrence, drug resistance and treatment side effects, which makes it a very attractive challenge to search for new effective and specific anticancer drugs. Nature is a valuable source of multiple pharmaceuticals, and most of the anticancer drugs are natural products or derived from them. Marine-derived compounds, such as nucleotides, proteins, peptides and amides, have also shed light on cancer therapy, and they are receiving a fast-growing interest due to their bioactive properties. Their mechanisms contain anti-angiogenic, anti-proliferative and anti-metastasis activities; cell cycle arrest; and induction of apoptosis. This review provides an overview on the development of marine-derived compounds with anticancer properties, both their applications and mechanisms, and discovered technologies.
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Affiliation(s)
- Weimin Zuo
- Cancer Centre, Faculty of Health Sciences, University of Macau, Avenida de Universidade, Taipa, Macao;
| | - Hang Fai Kwok
- Cancer Centre, Faculty of Health Sciences, University of Macau, Avenida de Universidade, Taipa, Macao;
- MoE Frontiers Science Center for Precision Oncology, University of Macau, Taipa, Macao
- Correspondence:
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Dean AQ, Luo S, Twomey JD, Zhang B. Targeting cancer with antibody-drug conjugates: Promises and challenges. MAbs 2021; 13:1951427. [PMID: 34291723 PMCID: PMC8300931 DOI: 10.1080/19420862.2021.1951427] [Citation(s) in RCA: 89] [Impact Index Per Article: 29.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 06/29/2021] [Accepted: 06/29/2021] [Indexed: 01/03/2023] Open
Abstract
Antibody-drug conjugates (ADCs) are a rapidly expanding class of biotherapeutics that utilize antibodies to selectively deliver cytotoxic drugs to the tumor site. As of May 2021, the U.S. Food and Drug Administration (FDA) has approved ten ADCs, namely Adcetris®, Kadcyla®, Besponsa®, Mylotarg®, Polivy®, Padcev®, Enhertu®, Trodelvy®, Blenrep®, and Zynlonta™ as monotherapy or combinational therapy for breast cancer, urothelial cancer, myeloma, acute leukemia, and lymphoma. In addition, over 80 investigational ADCs are currently being evaluated in approximately 150 active clinical trials. Despite the growing interest in ADCs, challenges remain to expand their therapeutic index (with greater efficacy and less toxicity). Recent advances in the manufacturing technology for the antibody, payload, and linker combined with new bioconjugation platforms and state-of-the-art analytical techniques are helping to shape the future development of ADCs. This review highlights the current status of marketed ADCs and those under clinical investigation with a focus on translational strategies to improve product quality, safety, and efficacy.
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Affiliation(s)
- Alexis Q. Dean
- Office of Biotechnology Products, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, United States
| | - Shen Luo
- Office of Biotechnology Products, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, United States
| | - Julianne D. Twomey
- Office of Biotechnology Products, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, United States
| | - Baolin Zhang
- Office of Biotechnology Products, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, United States
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