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Poulsen TBG, Karamehmedovic A, Aboo C, Jørgensen MM, Yu X, Fang X, Blackburn JM, Nielsen CH, Kragstrup TW, Stensballe A. Protein array-based companion diagnostics in precision medicine. Expert Rev Mol Diagn 2020; 20:1183-1198. [PMID: 33315478 DOI: 10.1080/14737159.2020.1857734] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
INTRODUCTION The development of companion diagnostics (CDx) will increase efficacy and cost-benefit markedly, compared to the currently prevailing trial-and-error approach for treatment. Recent improvements in high-throughput protein technology have resulted in large amounts of predictive biomarkers that are potentially useful components of future CDx assays. Current high multiplex protein arrays are suitable for discovery-based approaches, while low-density and more simple arrays are suitable for use in point-of-care facilities. AREA COVERED This review discusses the technical platforms available for protein array focused CDx, explains the technical details of the platforms and provide examples of clinical use, ranging from multiplex arrays to low-density clinically applicable arrays. We thereafter highlight recent predictive biomarkers within different disease areas, such as oncology and autoimmune diseases. Lastly, we discuss some of the challenges connected to the implementation of CDx assays as point-of-care tests. EXPERT OPINION Recent advances in the field of protein arrays have enabled high-density arrays permitting large biomarker discovery studies, which are beneficial for future CDx assays. The density of protein arrays range from a single protein to proteome-wide arrays, allowing the discovery of protein signatures that may correlate with drug response. Protein arrays will undoubtedly play a key role in future CDx assays.
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Affiliation(s)
- Thomas B G Poulsen
- Department of Health Science and Technology, Aalborg University , Aalborg, Denmark.,Sino-Danish Center for Education and Research, University of Chinese Academy of Sciences , China
| | - Azra Karamehmedovic
- Department of Health Science and Technology, Aalborg University , Aalborg, Denmark.,Sino-Danish Center for Education and Research, University of Chinese Academy of Sciences , China
| | - Christopher Aboo
- Department of Health Science and Technology, Aalborg University , Aalborg, Denmark.,Sino-Danish Center for Education and Research, University of Chinese Academy of Sciences , China
| | - Malene Møller Jørgensen
- Department of Clinical Immunology, Aalborg University Hospital , Aalborg, Denmark.,Department of Clinical Medicine, Aalborg University , Aalborg, Denmark
| | - Xiaobo Yu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics , Beijing, China
| | - Xiangdong Fang
- Sino-Danish Center for Education and Research, University of Chinese Academy of Sciences , China.,CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences , China
| | - Jonathan M Blackburn
- Department of Integrative Biomedical Sciences & Institute of Infectious Disease and Molecular Medicine, University of Cape Town , Cape Town, South Africa.,Sengenics Corporation Pte Ltd , Singapore
| | - Claus H Nielsen
- Institute for Inflammation Research, Center for Rheumatology and Spine Diseases, Copenhagen University Hospital Rigshospitalet , Copenhagen, Denmark
| | - Tue W Kragstrup
- Department of Biomedicine, Aarhus University , Aarhus, Denmark.,Department of Rheumatology, Aarhus University Hospital , Aarhus, Denmark
| | - Allan Stensballe
- Department of Health Science and Technology, Aalborg University , Aalborg, Denmark
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Radhakrishnan A, Kuppusamy G, Ponnusankar S, Shanmukhan NK. Pharmacogenomic phase transition from personalized medicine to patient-centric customized delivery. THE PHARMACOGENOMICS JOURNAL 2019; 20:1-18. [PMID: 31819163 DOI: 10.1038/s41397-019-0135-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 11/23/2019] [Accepted: 11/26/2019] [Indexed: 12/17/2022]
Abstract
Personalized medicine has been a booming area in clinical research for the past decade, in which the detailed information about the patient genotype and clinical conditions were collected and considered to optimize the therapy to prevent adverse reactions. However, the utility of commercially available personalized medicine has not yet been maximized due to the lack of a structured protocol for implementation. In this narrative review, we explain the role of pharmacogenetics in personalized medicine, next-generation personalized medicine, i.e., patient-centric personalized medicine, in which the patient's comfort is considered along with pharmacogenomics to be a primary factor. We extensively discuss the classifications, strategies, tools, and drug delivery systems that can support the implementation of patient-centric personalized medicine from an industrial perspective.
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Affiliation(s)
- Arun Radhakrishnan
- Department of Pharmaceutics, JSS College of Pharmacy (JSS Academy of Higher Education & Research), Ooty, India.
| | - Gowthamarajan Kuppusamy
- Department of Pharmaceutics, JSS College of Pharmacy (JSS Academy of Higher Education & Research), Ooty, India.
| | - Sivasankaran Ponnusankar
- Department of Pharmacy Practice, JSS College of Pharmacy (JSS Academy of Higher Education & Research), Ooty, India
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Chowdury MA, Heileman KL, Moore TA, Young EWK. Biomicrofluidic Systems for Hematologic Cancer Research and Clinical Applications. SLAS Technol 2019; 24:457-476. [PMID: 31173533 DOI: 10.1177/2472630319846878] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
A persistent challenge in developing personalized treatments for hematologic cancers is the lack of patient specific, physiologically relevant disease models to test investigational drugs in clinical trials and to select therapies in a clinical setting. Biomicrofluidic systems and organ-on-a-chip technologies have the potential to change how researchers approach the fundamental study of hematologic cancers and select clinical treatment for individual patient. Here, we review microfluidics cell-based technology with application toward studying hematologic tumor microenvironments (TMEs) for the purpose of drug discovery and clinical treatment selection. We provide an overview of state-of-the-art microfluidic systems designed to address questions related to hematologic TMEs and drug development. Given the need to develop personalized treatment platforms involving this technology, we review pharmaceutical drugs and different modes of immunotherapy for hematologic cancers, followed by key considerations for developing a physiologically relevant microfluidic companion diagnostic tool for mimicking different hematologic TMEs for testing with different drugs in clinical trials. Opportunities lie ahead for engineers to revolutionize conventional drug discovery strategies of hematologic cancers, including integrating cell-based microfluidics technology with machine learning and automation techniques, which may stimulate pharma and regulatory bodies to promote research and applications of microfluidics technology for drug development.
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Affiliation(s)
- Mosfera A Chowdury
- Department of Mechanical & Industrial Engineering, University of Toronto, Toronto, ON, Canada
| | - Khalil L Heileman
- Department of Mechanical & Industrial Engineering, University of Toronto, Toronto, ON, Canada.,Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada
| | - Thomas A Moore
- Department of Mechanical & Industrial Engineering, University of Toronto, Toronto, ON, Canada
| | - Edmond W K Young
- Department of Mechanical & Industrial Engineering, University of Toronto, Toronto, ON, Canada.,Institute of Biomaterials & Biomedical Engineering, University of Toronto, Toronto, ON, Canada
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Abstract
Animal models of human disease are a critical tool in both basic research and drug development. The results of preclinical efficacy studies often inform progression of therapeutic candidates through the drug development pipeline; however, the extent to which results in inflammatory bowel disease (IBD) models predict human drug response is an ongoing concern. This review discusses how murine models are currently being used in IBD research. We focus on the considerations and caveats for commonly used models in preclinical efficacy studies and discuss the value of models that utilize specific pathogenic pathways of interest rather than model all aspects of human disease.
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Affiliation(s)
- Jason DeVoss
- Department of Immunology, Genentech, Inc., San Francisco, California, USA
| | - Lauri Diehl
- Department of Pathology, Genentech, Inc., San Francisco, California, USA
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Considerations for the successful co-development of targeted cancer therapies and companion diagnostics. Nat Rev Drug Discov 2013; 12:743-55. [PMID: 24008432 DOI: 10.1038/nrd4101] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
As diagnostic tests become increasingly important for optimizing the use of drugs to treat cancers, the co-development of a targeted therapy and its companion diagnostic test is becoming more prevalent and necessary. In July 2011, the US Food and Drug Administration released a draft guidance that gave the agency's formal definition of companion diagnostics and introduced a drug-diagnostic co-development process for gaining regulatory approval. Here, we identify areas of drug-diagnostic co-development that were either not covered by the guidance or that would benefit from increased granularity, including how to determine when clinical studies should be limited to biomarker-positive patients, defining the diagnostically selected patient population in which to use a companion diagnostic, and defining and clinically validating a biomarker signature for assays that use more than one biomarker. We propose potential approaches that sponsors could use to deal with these challenges and provide strategies to help guide the future co-development of drugs and diagnostics.
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