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Duvalyan E, Brondfield S, Rushakoff RJ, Anderson MS, Quandt Z. Outcomes and Adverse Events in Patients with Cancer after Diagnosis of Immunotherapy-Associated Diabetes Mellitus: A Retrospective Cohort Study. Cancers (Basel) 2024; 16:1663. [PMID: 38730614 PMCID: PMC11083325 DOI: 10.3390/cancers16091663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 04/18/2024] [Accepted: 04/18/2024] [Indexed: 05/13/2024] Open
Abstract
Immune checkpoint inhibitor (CPI)-induced diabetes mellitus (CPI-DM) is a rare immune-related adverse event (irAE). Patients and providers fear that continuing CPIs puts patients at risk for additional irAEs and thus may discontinue therapy. Currently, there are little data to inform this decision. Therefore, this study aims to elucidate whether discontinuing CPIs after diagnosis of CPI-DM impacts the development of future irAEs and cancer outcomes such as progression and death. Patients who developed CPI-DM during cancer treatment at UCSF from 1 July 2015 to 5 July 2023 were analyzed for cancer outcomes and irAE development. Fisher's exact tests, Student t-tests, Kaplan-Meier methods, and Cox regression were used as appropriate. Of the 43 patients with CPI-DM, 20 (47%) resumed CPIs within 90 days of the irAE, 4 (9%) patients restarted after 90 days, and 19 (44%) patients never restarted. Subsequent irAEs were diagnosed in 9 of 24 (38%) who resumed CPIs and 3 of 19 (16%) who discontinued CPIs (p = 0.17). There was no significant difference in death (p = 0.74) or cancer progression (p = 0.55) between these two groups. While our single-institution study did not show worse cancer outcomes after discontinuing CPIs, many variables can impact outcomes, which our study was not adequately powered to evaluate. A nuanced approach is needed to decide whether to continue CPI treatment after a severe irAE like CPI-DM.
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Affiliation(s)
- Eva Duvalyan
- School of Medicine, University of California San Francisco, San Francisco, CA 94143, USA;
| | - Sam Brondfield
- Division of Hematology and Oncology, Department of Medicine, University of California San Francisco, San Francisco, CA 94143, USA;
| | - Robert J. Rushakoff
- Division of Endocrinology and Metabolism, Department of Medicine, University of California San Francisco, San Francisco, CA 94143, USA; (R.J.R.); (M.S.A.)
- Diabetes Center, University of California San Francisco, San Francisco, CA 94143, USA
| | - Mark S. Anderson
- Division of Endocrinology and Metabolism, Department of Medicine, University of California San Francisco, San Francisco, CA 94143, USA; (R.J.R.); (M.S.A.)
- Diabetes Center, University of California San Francisco, San Francisco, CA 94143, USA
| | - Zoe Quandt
- Division of Endocrinology and Metabolism, Department of Medicine, University of California San Francisco, San Francisco, CA 94143, USA; (R.J.R.); (M.S.A.)
- Diabetes Center, University of California San Francisco, San Francisco, CA 94143, USA
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Di Stefano F, Rodrigues C, Galtier S, Guilleminot S, Robert V, Gasparini M, Saint-Hilary G. Incorporation of healthy volunteers data on receptor occupancy into a phase II proof-of-concept trial using a Bayesian dynamic borrowing design. Biom J 2023; 65:e2200305. [PMID: 37888795 DOI: 10.1002/bimj.202200305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 07/09/2023] [Accepted: 07/23/2023] [Indexed: 10/28/2023]
Abstract
Receptor occupancy in targeted tissues measures the proportion of receptors occupied by a drug at equilibrium and is sometimes used as a surrogate of drug efficacy to inform dose selection in clinical trials. We propose to incorporate data on receptor occupancy from a phase I study in healthy volunteers into a phase II proof-of-concept study in patients, with the objective of using all the available evidence to make informed decisions. A minimal physiologically based pharmacokinetic modeling is used to model receptor occupancy in healthy volunteers and to predict it in the patients of a phase II proof-of-concept study, taking into account the variability of the population parameters and the specific differences arising from the pathological condition compared to healthy volunteers. Then, given an estimated relationship between receptor occupancy and the clinical endpoint, an informative prior distribution is derived for the clinical endpoint in both the treatment and control arms of the phase II study. These distributions are incorporated into a Bayesian dynamic borrowing design to supplement concurrent phase II trial data. A simulation study in immuno-inflammation demonstrates that the proposed design increases the power of the study while maintaining a type I error at acceptable levels for realistic values of the clinical endpoint.
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Affiliation(s)
- Fulvio Di Stefano
- Dipartimento di Scienze Matematiche (DISMA) "Giuseppe Luigi Lagrange,", Politecnico di Torino, Torino, Italy
| | - Christelle Rodrigues
- Department of Quantitative Pharmacology, Institut de Recherches Internationales Servier, Suresnes, France
| | - Stephanie Galtier
- Department of Clinical Statistics, Institut de Recherches Internationales Servier, Suresnes, France
| | - Sandrine Guilleminot
- Department of Quantitative Pharmacology, Institut de Recherches Internationales Servier, Suresnes, France
| | - Veronique Robert
- Department of Clinical Statistics, Institut de Recherches Internationales Servier, Suresnes, France
| | - Mauro Gasparini
- Dipartimento di Scienze Matematiche (DISMA) "Giuseppe Luigi Lagrange,", Politecnico di Torino, Torino, Italy
| | - Gaelle Saint-Hilary
- Dipartimento di Scienze Matematiche (DISMA) "Giuseppe Luigi Lagrange,", Politecnico di Torino, Torino, Italy
- Department of Statistical Methodology, Saryga, Tournus, France
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3
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Tárnok A. Counting rare earth metals. Cytometry A 2023; 103:618. [PMID: 37602767 DOI: 10.1002/cyto.a.24784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/22/2023]
Affiliation(s)
- Attila Tárnok
- Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Leipzig, Germany
- Department of Preclinical Development and Validation, Fraunhofer Institute for Cell Therapy and Immunology IZI, Leipzig, Germany
- Department for Precision Instrument, Tsinghua University, Beijing, China
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Shchelokov D, Demin Jr O. Receptor occupancy assessment and interpretation in terms of quantitative systems pharmacology: nivolumab case study. MAbs 2023; 15:2156317. [PMID: 36524835 PMCID: PMC9762804 DOI: 10.1080/19420862.2022.2156317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Receptor occupancy assays applied in clinical studies provide insights into pharmacokinetic-pharmacodynamic relationships for therapeutic antibodies. When measured by different assays, however, receptor occupancy results can be controversial, as was observed for nivolumab, a monoclonal antibody targeting programmed cell death 1 (PD-1) receptor. We suggested an explanation of results obtained and a mechanistic approach based on specific features of the receptor occupancy assays: measurement of the free or bound receptor, normalized to the baseline or at each time point. The approach was evaluated against controversial clinical data on PD-1 receptor occupancy by nivolumab. It was shown that receptor occupancy measured by different assays might vary substantially if the internalization rate of the bound receptor is higher than the rate of degradation of the free receptor. Equations proposed in this work can be applied in quantitative systems pharmacology models to describe target receptor occupancy by different therapeutic antibodies.
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Affiliation(s)
- Dmitry Shchelokov
- InSysBio UK Limited, Edinburgh, UK,CONTACT Dmitry Shchelokov InSysBio UK Limited, 17-19 East London Street, EdinburghEH7 4ZD, UK
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Yoshimoto S, Chester N, Xiong A, Radaelli E, Wang H, Brillantes M, Gulendran G, Glassman P, Siegel DL, Mason NJ. Development and pharmacokinetic assessment of a fully canine anti-PD-1 monoclonal antibody for comparative translational research in dogs with spontaneous tumors. MAbs 2023; 15:2287250. [PMID: 38047502 PMCID: PMC10793675 DOI: 10.1080/19420862.2023.2287250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 11/20/2023] [Indexed: 12/05/2023] Open
Abstract
PD-1 checkpoint inhibitors have revolutionized the treatment of patients with different cancer histologies including melanoma, renal cell carcinoma, and non-small cell lung carcinoma. However, only a subset of patients show a dramatic clinical response to treatment. Despite intense biomarker discovery efforts, no single robust, prognostic correlation has emerged as a valid outcome predictor. Immune competent, pet dogs develop spontaneous tumors that share similar features to human cancers including chromosome aberrations, molecular subtypes, immune signatures, tumor heterogeneity, metastatic behavior, and chemotherapeutic response. As such, they represent a valuable parallel patient population in which to investigate predictive biomarkers of checkpoint inhibition. However, the lack of a validated, non-immunogenic, canine anti-PD-1 antibody for pre-clinical use hinders this comparative approach and prevents potential clinical benefits of PD-1 blockade being realized in the veterinary clinic. To address this, fully canine single-chain variable fragments (scFvs) that bind canine (c)PD-1 were isolated from a comprehensive canine scFv phage display library. Lead candidates were identified that bound with high affinity to cPD-1 and inhibited its interaction with canine PD-L1 (cPD-L1). The lead scFv candidate re-formatted into a fully canine IgGD reversed the inhibitory effects of cPD-1:cPD-L1 interaction on canine chimeric antigen receptor (CAR) T cell function. In vivo administration showed no toxicity and revealed favorable pharmacokinetics for a reasonable dosing schedule. These results pave the way for clinical trials with anti-cPD-1 in canine cancer patients to investigate predictive biomarkers and combination regimens to inform human clinical trials and bring a promising checkpoint inhibitor into the veterinary armamentarium.
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Affiliation(s)
- Sho Yoshimoto
- Department of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Ailian Xiong
- Department of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Enrico Radaelli
- Department of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Hong Wang
- Vetigenics LLC, B-Labs, Cira Center, Philadelphia, PA, USA
| | | | - Gayathri Gulendran
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Patrick Glassman
- Department of Pharmaceutical Sciences, Temple University School of Pharmacy, Philadelphia, PA, USA
| | - Don L. Siegel
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Nicola J. Mason
- Department of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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Natoli M, Hatje K, Gulati P, Junker F, Herzig P, Jiang Z, Davydov II, Germann M, Trüb M, Marbach D, Zwick A, Weber P, Seeber S, Wiese M, Lardinois D, Heinzelmann-Schwarz V, Rosenberg R, Tietze L, Mertz KD, Umaña P, Klein C, Codarri-Deak L, Kao H, Zippelius A. Deciphering molecular and cellular ex vivo responses to bispecific antibodies PD1-TIM3 and PD1-LAG3 in human tumors. J Immunother Cancer 2022; 10:jitc-2022-005548. [PMID: 36319064 PMCID: PMC9628669 DOI: 10.1136/jitc-2022-005548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/30/2022] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND Next-generation cancer immunotherapies are designed to broaden the therapeutic repertoire by targeting new immune checkpoints including lymphocyte-activation gene 3 (LAG-3) and T cell immunoglobulin and mucin-domain containing-3 (TIM-3). Yet, the molecular and cellular mechanisms by which either receptor functions to mediate its inhibitory effects are still poorly understood. Similarly, little is known on the differential effects of dual, compared with single, checkpoint inhibition. METHODS We here performed in-depth characterization, including multicolor flow cytometry, single cell RNA sequencing and multiplex supernatant analysis, using tumor single cell suspensions from patients with cancer treated ex vivo with novel bispecific antibodies targeting programmed cell death protein 1 (PD-1) and TIM-3 (PD1-TIM3), PD-1 and LAG-3 (PD1-LAG3), or with anti-PD-1. RESULTS We identified patient samples which were responsive to PD1-TIM3, PD1-LAG3 or anti-PD-1 using an in vitro approach, validated by the analysis of 659 soluble proteins and enrichment for an anti-PD-1 responder signature. We found increased abundance of an activated (HLA-DR+CD25+GranzymeB+) CD8+ T cell subset and of proliferating CD8+ T cells, in response to bispecific antibody or anti-PD-1 treatment. Bispecific antibodies, but not anti-PD-1, significantly increased the abundance of a proliferating natural killer cell subset, which exhibited enrichment for a tissue-residency signature. Key phenotypic and transcriptional changes occurred in a PD-1+CXCL13+CD4+ T cell subset, in response to all treatments, including increased interleukin-17 secretion and signaling toward plasma cells. Interestingly, LAG-3 protein upregulation was detected as a unique pharmacodynamic effect mediated by PD1-LAG3, but not by PD1-TIM3 or anti-PD-1. CONCLUSIONS Our in vitro system reliably assessed responses to bispecific antibodies co-targeting PD-1 together with LAG-3 or TIM-3 using patients' tumor infiltrating immune cells and revealed transcriptional and phenotypic imprinting by bispecific antibody formats currently tested in early clinical trials.
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Affiliation(s)
- Marina Natoli
- Department of Biomedicine, University Hospital Basel, Basel, Switzerland
| | - Klas Hatje
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Pratiksha Gulati
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Fabian Junker
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Petra Herzig
- Department of Biomedicine, University Hospital Basel, Basel, Switzerland
| | - Zhiwen Jiang
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Iakov I Davydov
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Markus Germann
- Department of Biomedicine, University Hospital Basel, Basel, Switzerland
| | - Marta Trüb
- Department of Biomedicine, University Hospital Basel, Basel, Switzerland
| | - Daniel Marbach
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Adrian Zwick
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Munich, F Hoffmann-La Roche Ltd, Penzberg, Germany
| | - Patrick Weber
- Roche Pharma Research and Early Development, Discovery Oncology, Roche Innovation Center Zurich, Schlieren, Switzerland
| | - Stefan Seeber
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Munich, F Hoffmann-La Roche Ltd, Penzberg, Germany
| | - Mark Wiese
- Division of Thoracic Surgery, University Hospital Basel, Basel, Switzerland
| | - Didier Lardinois
- Division of Thoracic Surgery, University Hospital Basel, Basel, Switzerland
| | | | - Robert Rosenberg
- Department of Surgery, Cantonal Hospital Basel-Landschaft, Liestal, Switzerland
| | | | - Kirsten D Mertz
- Institute of Pathology, Cantonal Hospital Basel-Landschaft, Liestal, Switzerland
| | - Pablo Umaña
- Roche Pharma Research and Early Development, Discovery Oncology, Roche Innovation Center Zurich, Schlieren, Switzerland
| | - Christian Klein
- Roche Pharma Research and Early Development, Discovery Oncology, Roche Innovation Center Zurich, Schlieren, Switzerland
| | - Laura Codarri-Deak
- Roche Pharma Research and Early Development, Discovery Oncology, Roche Innovation Center Zurich, Schlieren, Switzerland
| | - Henry Kao
- Roche Pharma Research and Early Development, Early Biomarker Development Oncology, Roche Innovation Center Basel, F Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Alfred Zippelius
- Department of Biomedicine, University Hospital Basel, Basel, Switzerland,Medical Oncology, University Hospital Basel, Basel, Switzerland
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7
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Junker F, Camillo Teixeira P. Barcoding of live peripheral blood mononuclear cells to assess immune cell phenotypes using full spectrum flow cytometry. Cytometry A 2022; 101:909-921. [PMID: 35150047 DOI: 10.1002/cyto.a.24543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 01/11/2022] [Accepted: 02/07/2022] [Indexed: 01/27/2023]
Abstract
Barcoded flow cytometry is a multiplexing technique allowing for the simultaneous acquisition of cells from different donors or experimental conditions in a high-throughput manner. This approach allows to synchronize acquisition of samples and reduce variance introduced through the operator or technical platform. However, to date, only very few flow cytometry barcoding protocols have been developed, which often suffer from technical limitations. Here, we developed a novel barcoding protocol for a full-spectrum flow cytometry platform. We developed a 21-color immunophenotyping assay for up to 20 different samples analyzed simultaneously with comparable variance between repeated single-tube acquisition and postde-multiplexing. Barcoding offers great potential in parallelizing the analysis of complex cell populations such as peripheral blood mononuclear cells (PBMCs). Consequently, we assessed the performance of our method in situations where PBMCs were challenged with phytohaemagglutinin (PHA), a strong mitogen and broad activator of B cells and T cells, and superantigen Staphylococcus enterotoxin B (SEB) that has been reported to induce polyclonal T cell activation. PBMCs were either barcoded before pooled challenge or challenged individually pre-barcoding. Our final workflow included pooled immunophenotyping followed by machine learning aided single-cell data analysis and enabled us to identify robust PHA and SEB mode of action related phenotypic changes in PBMC immune cell lineages. Conclusively, we present a novel technique allowing the barcoded acquisition and analysis of PBMCs from up to 20 different donors and present a valid basis for the future development of complex immunophenotyping protocols.
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Affiliation(s)
- Fabian Junker
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland
| | - Priscila Camillo Teixeira
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland
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Hersey S, Keller S, Mathews J, King L, Bandukwala A, Berisha F, Birchler M, Bower J, Clausen V, Duarte J, Garofolo F, Hopper S, Kar S, Mabrouk O, Marshall JC, McGuire K, Naughton M, Saito Y, Schuhmann I, Sperinde G, Teixeira P, Vitaliti A, Wang YM, Wnek R, Zhang Y, Spitz S, Decman V, Eck S, Estevam J, Goihberg P, Alcaide EG, Gonneau C, Hedrick MN, Hopkins G, Junker F, Nuti S, Sommer U, Standifer N, Stevens C, Stevens E, Hendricks C, Wadhwa M, Torri A, Ma M, Harris S, Kumar S, Partridge MA, Caiazzo T, Chilewski S, Cludts I, Coble K, Gorovits B, Grimaldi C, Jordan G, Kamerud J, Leary B, Liang M, Lim H, Mayer A, O'Connor E, Palackal N, Poetzl J, Prior S, Abhari MR, Savoie N, Soo C, Ware M, Wu B, Xu Y, Yang TY, Zoghbi J. 2021 White Paper on Recent Issues in Bioanalysis: ISR for Biomarkers, Liquid Biopsies, Spectral Cytometry, Inhalation/Oral & Multispecific Biotherapeutics, Accuracy/LLOQ for Flow Cytometry ( Part 2 - Recommendations on Biomarkers/CDx Assays Development & Validation, Cytometry Validation & Innovation, Biotherapeutics PK LBA Regulated Bioanalysis, Critical Reagents & Positive Controls Generation). Bioanalysis 2022. [PMID: 35578974 DOI: 10.4155/bio-2022-0080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
The 15th edition of the Workshop on Recent Issues in Bioanalysis (15th WRIB) was held on 27 September to 1 October 2021. Even with a last-minute move from in-person to virtual, an overwhelmingly high number of nearly 900 professionals representing pharma and biotech companies, contract research organizations (CROs), and multiple regulatory agencies still eagerly convened to actively discuss the most current topics of interest in bioanalysis. The 15th WRIB included three Main Workshops and seven Specialized Workshops that together spanned 1 week in order to allow exhaustive and thorough coverage of all major issues in bioanalysis, biomarkers, immunogenicity, gene therapy, cell therapy and vaccines. Moreover, in-depth workshops on biomarker assay development and validation (BAV) (focused on clarifying the confusion created by the increased use of the term "context of use" [COU]); mass spectrometry of proteins (therapeutic, biomarker and transgene); state-of-the-art cytometry innovation and validation; and critical reagent and positive control generation were the special features of the 15th edition. This 2021 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 2021 edition of this comprehensive White Paper has been divided into three parts for editorial reasons. This publication (Part 2) covers the recommendations on ISR for Biomarkers, Liquid Biopsies, Spectral Cytometry, Inhalation/Oral & Multispecific Biotherapeutics, Accuracy/LLOQ for Flow Cytometry. Part 1A (Endogenous Compounds, Small Molecules, Complex Methods, Regulated Mass Spec of Large Molecules, Small Molecule, PoC), Part 1B (Regulatory Agencies' Inputs on Bioanalysis, Biomarkers, Immunogenicity, Gene & Cell Therapy and Vaccine) and Part 3 (TAb/NAb, Viral Vector CDx, Shedding Assays; CRISPR/Cas9 & CAR-T Immunogenicity; PCR & Vaccine Assay Performance; ADA Assay Comparability & Cut Point Appropriateness) are published in volume 14 of Bioanalysis, issues 9 and 11 (2022), respectively.
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9
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Xu G, Luo Y, Wang H, Wang Y, Liu B, Wei J. Therapeutic bispecific antibodies against intracellular tumor antigens. Cancer Lett 2022; 538:215699. [PMID: 35487312 DOI: 10.1016/j.canlet.2022.215699] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 04/18/2022] [Accepted: 04/21/2022] [Indexed: 12/16/2022]
Abstract
Bispecific antibodies (BsAbs)-based therapeutics have been identified to be one of the most promising immunotherapy strategies. However, their target repertoire is mainly restricted to cell surface antigens rather than intracellular antigens, resulting in a relatively limited scope of applications. Intracellular tumor antigens are identified to account for a large proportion of tumor antigen profiles. Recently, bsAbs that target intracellular oncoproteins have raised much attention, broadening the targeting scope of tumor antigens and improving the efficacy of traditional antibody-based therapeutics. Consequently, this review will focus on this emerging field and discuss related research advances. We introduce the classification, characteristics, and clinical applications of bsAbs, the theoretical basis for targeting intracellular antigens, delivery systems of bsAbs, and the latest preclinical and clinical advances of bsAbs targeting several intracellular oncotargets, including those of cancer-testis antigens, differentiation antigens, neoantigens, and other antigens. Moreover, we summarize the limitations of current bsAbs, and propose several potential strategies against immune escape and T cell exhaustion as well as some future perspectives.
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Affiliation(s)
- Guanghui Xu
- The Comprehensive Cancer Centre of Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School & Clinical Cancer Institute of Nanjing University, Nanjing, 210008, China.
| | - Yuting Luo
- The Comprehensive Cancer Centre of Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School & Clinical Cancer Institute of Nanjing University, Nanjing, 210008, China.
| | - Hanbing Wang
- The Comprehensive Cancer Centre of Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School & Clinical Cancer Institute of Nanjing University, Nanjing, 210008, China.
| | - Yue Wang
- The Comprehensive Cancer Centre of Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School & Clinical Cancer Institute of Nanjing University, Nanjing, 210008, China.
| | - Baorui Liu
- The Comprehensive Cancer Centre of Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School & Clinical Cancer Institute of Nanjing University, Nanjing, 210008, China.
| | - Jia Wei
- The Comprehensive Cancer Centre of Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School & Clinical Cancer Institute of Nanjing University, Nanjing, 210008, China; Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing, 210008, China.
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10
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Audia A, Bannish G, Bunting R, Riveley C. Flow cytometry and receptor occupancy in immune-oncology. Expert Opin Biol Ther 2021; 22:87-94. [PMID: 34139906 DOI: 10.1080/14712598.2021.1944098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Introduction: Immunotherapies are focused on strategies that alter immune responses, using antibodies that binds to receptors on different immune cell subsets and either activate or suppress their functions depending on the immune response being targeted. Hence, the necessity of developing assays that assess the functional and biological effect of a therapeutic on its target. When incorporated into high-parameter flow cytometry panels, receptor occupancy assay can simultaneously evaluate receptor expression and drug occupancy on defined cell subsets, which can provide information related to functional effects, and safety.Areas covered: This review focuses on the importance of developing, optimizing, and validating a robust Receptor Occupancy Assay (ROA) to improve dose selection, pharmacology monitoring and safety mainly in clinical settings.Expert opinion: The designing of an ROA can be challenging and can lead to exaggerated pharmacology if not accurately developed, optimized, and validated. However, improvements in our understanding of epitopes, binding, affinities, and pharmacological effects may lead to improved antibody drug targeting and receptor evaluation.
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Affiliation(s)
- Alessandra Audia
- Champions Oncology, Biomarker Services Solution, Hackensack, New Jersey, USA
| | - Gregory Bannish
- Champions Oncology, Biomarker Services Solution, Hackensack, New Jersey, USA
| | - Rachel Bunting
- Champions Oncology, Biomarker Services Solution, Hackensack, New Jersey, USA
| | - Chelsea Riveley
- Champions Oncology, Biomarker Services Solution, Hackensack, New Jersey, USA
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11
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Junker F, Gulati P, Wessels U, Seeber S, Stubenrauch KG, Codarri-Deak L, Markert C, Klein C, Camillo Teixeira P, Kao H. A human receptor occupancy assay to measure anti-PD-1 binding in patients with prior anti-PD-1. Cytometry A 2021; 99:832-843. [PMID: 33704890 PMCID: PMC8451911 DOI: 10.1002/cyto.a.24334] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 02/08/2021] [Accepted: 03/04/2021] [Indexed: 12/19/2022]
Abstract
Receptor occupancy (RO) assessment by flow cytometry is an important pharmacodynamic (PD) biomarker in the clinical development of large molecules such as monoclonal therapeutic antibodies (mAbs). The total‐drug‐bound RO assay format directly assesses mAb binding to cell surface targets using anti‐drug detection antibodies. Here, we generated a flow cytometry detection antibody specifically binding to mAbs of the IgG1 P329GLALA backbone. Using this reagent, we developed a total‐drug‐bound RO assay format for RG7769, a bi‐specific P329GLALA containing mAb targeting PD‐1 and TIM3 on T cells. In its fit‐for‐purpose validated version, this RO assay has been used in the Phase‐I dose escalation study of RG7769, informing on peripheral T cell RO and RG7769 antibody binding capacity (ABC). We assessed RG7769 RO in checkpoint‐inhibitor (CPI) naïve patients and anti‐PD‐1 CPI experienced patients using our novel assay. Here, we show that in both groups, complete T cell RO can be achieved (~100%). However, we found that the maximum number of T cell binding sites for RG7769 pre‐dosing was roughly twofold lower in patients recently having undergone anti‐PD‐1 treatment. We show that this is due to steric hindrance exerted by competing mAbs masking the available drug binding sites. Our findings highlight the importance of quantitative mAb assessment in addition to relative RO especially in the context of patients who have previously received anti‐PD‐1 treatment.
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Affiliation(s)
- Fabian Junker
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Pratiksha Gulati
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Uwe Wessels
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Munich, F. Hoffmann-La Roche Ltd, Penzberg, Germany
| | - Stefan Seeber
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Munich, F. Hoffmann-La Roche Ltd, Penzberg, Germany
| | - Kay-Gunnar Stubenrauch
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Munich, F. Hoffmann-La Roche Ltd, Penzberg, Germany
| | - Laura Codarri-Deak
- Roche Pharma Research and Early Development, Discovery Oncology, Roche Innovation Center Zurich, Schlieren, Switzerland
| | | | - Christian Klein
- Roche Pharma Research and Early Development, Discovery Oncology, Roche Innovation Center Zurich, Schlieren, Switzerland
| | - Priscila Camillo Teixeira
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Henry Kao
- Roche Pharma Research and Early Development, Early Biomarker Development Oncology, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
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