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Wang Y, Pan D, Huang C, Chen B, Li M, Zhou S, Wang L, Wu M, Wang X, Bian Y, Yan J, Liu J, Yang M, Miao L. Dose escalation PET imaging for safety and effective therapy dose optimization of a bispecific antibody. MAbs 2021; 12:1748322. [PMID: 32275842 PMCID: PMC7153848 DOI: 10.1080/19420862.2020.1748322] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Selecting the dose for efficacy and first-in-human studies of bispecific antibodies (BsAbs) is a challenging process. Herein, positron emission tomography (PET) imaging with 89Zr-labeled IBI322, an anti-CD47/PD-L1 BsAb, was used to optimize the safety and effective therapy dose. By labeling with 89Zr, we aimed to assess the pharmacokinetics (PK), safety, and target engagement of IBI322 with dose escalation dynamic PET imaging in humanized transgenic animal models bearing MC38 tumors (knock-in of hCD47 and hPDL1). 89Zr-labeled IBI322 specifically accumulated in tumors with a tumor-to-muscle ratio of 12.37 ± 1.42 at 168 h (0.22 mg/kg) and the biodistribution of normal tissues from PET imaging could be used for preliminary safety prediction. According to the Pearson correlation analysis between the ELISA-quantified serum concentration and heart uptake (%ID/g) (r = 0.980), a modified Patlak model was proposed. The exploratory target-mediated 50% (0.38 mg/kg) and 90% (0.63 mg/kg) inhibitory mass doses were calculated with the current modified Patlak model. The preliminary pharmacodynamics (PD) study with 0.34 mg/kg revealed that the dose prediction was rational. In conclusion, dose escalation PET imaging with 89Zr-labeled antibodies is promising for PK/PD modeling and safety prediction, and helpful for determining rational dosing for preclinical and clinical trials of BsAbs.
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Affiliation(s)
- Yan Wang
- Department of Clinical Pharmacology, The First Affiliated Hospital of Soochow University, Suzhou, China.,Institute for Interdisciplinary Drug Research and Translational Sciences, College of Pharmaceutical Sciences, Soochow University, Suzhou, China
| | - Donghui Pan
- NHC Key Laboratory of Nuclear Medicine, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi, Jiangsu, China
| | - Chenrong Huang
- Department of Clinical Pharmacology, The First Affiliated Hospital of Soochow University, Suzhou, China.,Institute for Interdisciplinary Drug Research and Translational Sciences, College of Pharmaceutical Sciences, Soochow University, Suzhou, China
| | - Bingliang Chen
- Drug Discovery Department, Innovent Biopharmaceutical (Suzhou) Co., Ltd, Suzhou, China
| | - Mingzhu Li
- NHC Key Laboratory of Nuclear Medicine, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi, Jiangsu, China
| | - Shuaixiang Zhou
- Drug Discovery Department, Innovent Biopharmaceutical (Suzhou) Co., Ltd, Suzhou, China
| | - Lizhen Wang
- NHC Key Laboratory of Nuclear Medicine, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi, Jiangsu, China
| | - Min Wu
- Drug Discovery Department, Innovent Biopharmaceutical (Suzhou) Co., Ltd, Suzhou, China
| | - Xinyu Wang
- NHC Key Laboratory of Nuclear Medicine, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi, Jiangsu, China
| | - Yicong Bian
- Department of Clinical Pharmacology, The First Affiliated Hospital of Soochow University, Suzhou, China.,Institute for Interdisciplinary Drug Research and Translational Sciences, College of Pharmaceutical Sciences, Soochow University, Suzhou, China
| | - Junjie Yan
- NHC Key Laboratory of Nuclear Medicine, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi, Jiangsu, China
| | - Junjian Liu
- Drug Discovery Department, Innovent Biopharmaceutical (Suzhou) Co., Ltd, Suzhou, China
| | - Min Yang
- NHC Key Laboratory of Nuclear Medicine, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi, Jiangsu, China
| | - Liyan Miao
- Department of Clinical Pharmacology, The First Affiliated Hospital of Soochow University, Suzhou, China.,Institute for Interdisciplinary Drug Research and Translational Sciences, College of Pharmaceutical Sciences, Soochow University, Suzhou, China
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Litwin V, Wallace P, Green C. Issue Highlights. CYTOMETRY PART B: CLINICAL CYTOMETRY 2021. [DOI: 10.1002/cyto.b.21990] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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Chou CK, Liu YL, Chen YI, Huang PJ, Tsou PH, Chen CT, Lee HH, Wang YN, Hsu JL, Lee JF, Yankeelov TE, Kameoka J, Yeh HC, Hung MC. Digital Receptor Occupancy Assay in Quantifying On- and Off-Target Binding Affinities of Therapeutic Antibodies. ACS Sens 2020; 5:296-302. [PMID: 32073836 DOI: 10.1021/acssensors.9b01736] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
While monoclonal antibodies are the fastest-growing class of therapeutic agents, we lack a method that can directly quantify the on- and off-target binding affinities of newly developed therapeutic antibodies in crude cell lysates. As a result, some therapeutic antibody candidates could have a moderate on-target binding affinity but a high off-target binding affinity, which not only gives a reduced efficacy but triggers unwanted side effects. Here, we report a single-molecule counting method that precisely quantifies antibody-bound receptors, free receptors, and unbound antibodies in crude cell lysates, termed digital receptor occupancy assay (DRO). Compared to the traditional flow cytometry-based binding assay, DRO assay enables direct and digital quantification of the three molecular species in solution without the additional antibodies for competitive binding. When characterizing the therapeutic antibody, cetuximab, using DRO assay, we found the on-target binding ratio to be 65% and the binding constant (Kd) to be 2.4 nM, while the off-target binding causes the binding constant to decrease by 0.3 nM. Other than cultured cells, the DRO assay can be performed on tumor mouse xenograft models. Thus, DRO is a simple and highly quantitative method for cell-based antibody binding analysis which can be broadly applied to screen and validate new therapeutic antibodies.
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Affiliation(s)
- Chao-Kai Chou
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, United States
| | - Yen-Liang Liu
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan 40402
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Yuan-I Chen
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Po-Jung Huang
- Department of Materials Science and Engineering, Texas A&M University, College Station, Texas 77840, United States
| | - Pei-Hsiang Tsou
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, United States
| | - Chun-Te Chen
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, United States
| | - Heng-Huan Lee
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, United States
| | - Ying-Nai Wang
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, United States
| | - Jennifer L. Hsu
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, United States
| | - Jin-Fong Lee
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, United States
| | - Thomas E. Yankeelov
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Institute for Computational Engineering and Sciences, The University of Texas, Austin, Texas 78712, United States
- Department of Diagnostic Medicine, Dell Medical School, The University of Texas at Austin, Austin, Texas 78712, United States
- Department of Oncology, Dell Medical School, The University of Texas at Austin, Austin, Texas 78712, United States
- Livestrong Cancer Institutes, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Jun Kameoka
- Department of Materials Science and Engineering, Texas A&M University, College Station, Texas 77840, United States
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas 77843, United States
| | - Hsin-Chih Yeh
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Texas Materials Institute, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Mien-Chie Hung
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, United States
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan 40402
- Center for Molecular Medicine, China Medical University, Taichung, Taiwan 40402
- Cancer Biology Program, Graduate School of Biomedical Sciences, The University of Texas Health Sciences Center at Houston, Houston, Texas 77030, United States
- Department of Biotechnology, Asia University, Taichung, Taiwan 41354
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Affiliation(s)
- Sonia Gavasso
- Department of Clinical MedicineUniversity of Bergen Bergen Norway
- Department of NeurologyHaukeland University Hospital Bergen Norway
| | - Gerd Haga Bringeland
- Department of Clinical MedicineUniversity of Bergen Bergen Norway
- Department of NeurologyHaukeland University Hospital Bergen Norway
| | - Attila Tárnok
- Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig Leipzig Germany
- Deptarment of Therapy ValidationFraunhofer Institute for Cell Therapy and Immunology IZI Leipzig Germany
- Department of Precision InstrumentTsinghua University Beijing China
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Wang SA. Issue Highlights-September 2018 (94B5). CYTOMETRY PART B-CLINICAL CYTOMETRY 2019; 94:560-564. [PMID: 30240159 DOI: 10.1002/cyto.b.21740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Sa A Wang
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
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2018 White Paper on Recent Issues in Bioanalysis: focus on flow cytometry, gene therapy, cut points and key clarifications on BAV (Part 3 - LBA/cell-based assays: immunogenicity, biomarkers and PK assays). Bioanalysis 2018; 10:1973-2001. [PMID: 30488726 DOI: 10.4155/bio-2018-0287] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
The 2018 12th Workshop on Recent Issues in Bioanalysis took place in Philadelphia, PA, USA on April 9-13, 2018 with an attendance of over 900 representatives from pharmaceutical/biopharmaceutical companies, biotechnology companies, contract research organizations and regulatory agencies worldwide. WRIB was once again a 5-day full immersion in bioanalysis, biomarkers and immunogenicity. As usual, it was specifically designed to facilitate sharing, reviewing, discussing and agreeing on approaches to address the most current issues of interest including both small- and large-molecule bioanalysis involving LCMS, hybrid LBA/LCMS and LBA/cell-based assays approaches. This 2018 White Paper encompasses recommendations emerging from the extensive discussions held during the workshop and is aimed to provide the bioanalytical community with key information and practical solutions on topics and issues addressed, in an effort to enable advances in scientific excellence, improved quality and better regulatory compliance. Due to its length, the 2018 edition of this comprehensive White Paper has been divided into three parts for editorial reasons. This publication (Part 3) covers the recommendations for large molecule bioanalysis, biomarkers and immunogenicity using LBA and cell-based assays. Part 1 (LCMS for small molecules, peptides, oligonucleotides and small molecule biomarkers) and Part 2 (hybrid LBA/LCMS for biotherapeutics and regulatory agencies' inputs) are published in volume 10 of Bioanalysis, issues 22 and 23 (2018), respectively.
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Brando B. Issue Highlights-March 2018. CYTOMETRY PART B-CLINICAL CYTOMETRY 2018; 94:208-210. [PMID: 29438583 DOI: 10.1002/cyto.b.21629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Bruno Brando
- Hematology Laboratory and Transfusion Center, Legnano Hospital, Milan, Italy
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2016 White Paper on recent issues in bioanalysis: focus on biomarker assay validation (BAV): (Part 3 – LBA, biomarkers and immunogenicity). Bioanalysis 2016; 8:2475-2496. [DOI: 10.4155/bio-2016-4989] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
The 2016 10th Workshop on Recent Issues in Bioanalysis (10th WRIB) took place in Orlando, Florida with participation of close to 700 professionals from pharmaceutical/biopharmaceutical companies, biotechnology companies, contract research organizations, and regulatory agencies worldwide. WRIB was once again a weeklong event – A Full Immersion Week of Bioanalysis for PK, Biomarkers and Immunogenicity. As usual, it is specifically designed to facilitate sharing, reviewing, discussing and agreeing on approaches to address the most current issues of interest including both small and large molecules involving LCMS, hybrid LBA/LCMS, and LBA approaches, with the focus on PK, biomarkers and immunogenicity. This 2016 White Paper encompasses recommendations emerging from the extensive discussions held during the workshop, and is aimed to provide the bioanalytical community with key information and practical solutions on topics and issues addressed, in an effort to enable advances in scientific excellence, improved quality and better regulatory compliance. This White Paper is published in 3 parts due to length. This part (Part 3) discusses the recommendations for large molecule bioanalysis using LBA, biomarkers and immunogenicity. Parts 1 (small molecule bioanalysis using LCMS) and Part 2 (Hybrid LBA/LCMS and regulatory inputs from major global health authorities) have been published in the Bioanalysis journal, issues 22 and 23, respectively.
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Abstract
AIM Ki67 is a prognostic and/or predictive biomarker in patients with malignancies. Flow cytometry is a powerful technology for single-cell multiparameter analysis. RESULTS We developed and validated a multicolor quantitative flow cytometry assay for detection of intracellular Ki67 expression in various immune cell subsets from human blood. The assay was optimized and showed excellent precisions. Assessment of the sample stability indicated that percentage changes from the fresh sample for the reportable results of interest were within 20%, up to 72 h after blood collection in the Cyto-Chex® BCT tube. CONCLUSION The validated assay is sufficiently robust to analyze clinical samples. Easy access to peripheral blood enables continuous monitoring of Ki67 expression in blood as a biomarker, for example, for immunotherapy studies.
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