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Getz JA, Nguy T, Dere R, Maia M. A novel biomarker assay qualification strategy for rare human matrices - a case study of biomarkers in aqueous humor. Bioanalysis 2024; 16:239-247. [PMID: 38506259 PMCID: PMC11216247 DOI: 10.4155/bio-2023-0127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 02/19/2024] [Indexed: 03/21/2024] Open
Abstract
Background: Measuring pharmacodynamic biomarkers near the therapeutic site of action presents considerable challenges for sites with limited matrix volume or difficult access. Bioanalytical method qualification requires the use of numerous matrix samples, which is problematic for rare matrices. The aim of this study was to design and implement a streamlined, fit-for-purpose strategy for qualification of biomarker assays in rare matrices. Materials & methods: A multiplexed biomarker immunoassay was developed in human aqueous humor. Results: Our strategy was successfully implemented, providing characterization of assay performance while reducing number of samples in assay qualification. Our assay was used in clinical trial support for an ophthalmic drug candidate. Conclusion: Our results indicate this approach can be applied to other early stage drug development programs facing similar challenges.
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Affiliation(s)
- Jennifer A Getz
- Bioanalytical Sciences, Genentech, Inc., 1 DNA Way, South San Francisco, CA, USA
| | - Trung Nguy
- Bioanalytical Sciences, Genentech, Inc., 1 DNA Way, South San Francisco, CA, USA
| | - Randall Dere
- Bioanalytical Sciences, Genentech, Inc., 1 DNA Way, South San Francisco, CA, USA
| | - Mauricio Maia
- Bioanalytical Sciences, Genentech, Inc., 1 DNA Way, South San Francisco, CA, USA
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Huseni MA, Wang L, Klementowicz JE, Yuen K, Breart B, Orr C, Liu LF, Li Y, Gupta V, Li C, Rishipathak D, Peng J, Şenbabaoǧlu Y, Modrusan Z, Keerthivasan S, Madireddi S, Chen YJ, Fraser EJ, Leng N, Hamidi H, Koeppen H, Ziai J, Hashimoto K, Fassò M, Williams P, McDermott DF, Rosenberg JE, Powles T, Emens LA, Hegde PS, Mellman I, Turley SJ, Wilson MS, Mariathasan S, Molinero L, Merchant M, West NR. CD8 + T cell-intrinsic IL-6 signaling promotes resistance to anti-PD-L1 immunotherapy. Cell Rep Med 2023; 4:100878. [PMID: 36599350 PMCID: PMC9873827 DOI: 10.1016/j.xcrm.2022.100878] [Citation(s) in RCA: 79] [Impact Index Per Article: 39.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 10/14/2022] [Accepted: 12/08/2022] [Indexed: 01/05/2023]
Abstract
Although immune checkpoint inhibitors (ICIs) are established as effective cancer therapies, overcoming therapeutic resistance remains a critical challenge. Here we identify interleukin 6 (IL-6) as a correlate of poor response to atezolizumab (anti-PD-L1) in large clinical trials of advanced kidney, breast, and bladder cancers. In pre-clinical models, combined blockade of PD-L1 and the IL-6 receptor (IL6R) causes synergistic regression of large established tumors and substantially improves anti-tumor CD8+ cytotoxic T lymphocyte (CTL) responses compared with anti-PD-L1 alone. Circulating CTLs from cancer patients with high plasma IL-6 display a repressed functional profile based on single-cell RNA sequencing, and IL-6-STAT3 signaling inhibits classical cytotoxic differentiation of CTLs in vitro. In tumor-bearing mice, CTL-specific IL6R deficiency is sufficient to improve anti-PD-L1 activity. Thus, based on both clinical and experimental evidence, agents targeting IL-6 signaling are plausible partners for combination with ICIs in cancer patients.
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Affiliation(s)
| | - Lifen Wang
- Genentech, South San Francisco, CA 94080, USA
| | | | - Kobe Yuen
- Genentech, South San Francisco, CA 94080, USA
| | | | | | - Li-Fen Liu
- Genentech, South San Francisco, CA 94080, USA
| | - Yijin Li
- Genentech, South San Francisco, CA 94080, USA
| | | | - Congfen Li
- Genentech, South San Francisco, CA 94080, USA
| | | | - Jing Peng
- Genentech, South San Francisco, CA 94080, USA
| | | | | | | | | | | | | | - Ning Leng
- Genentech, South San Francisco, CA 94080, USA
| | | | | | - James Ziai
- Genentech, South San Francisco, CA 94080, USA
| | | | | | | | | | - Jonathan E Rosenberg
- Genitourinary Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Thomas Powles
- Barts Experimental Cancer Medicine Centre, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK
| | - Leisha A Emens
- University of Pittsburgh Medical Center, Hillman Cancer Center, Pittsburgh, PA 15213, USA
| | | | - Ira Mellman
- Genentech, South San Francisco, CA 94080, USA
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Fernández-Metzler C, Ackermann B, Garofolo F, Arnold ME, DeSilva B, Gu H, Laterza O, Mao Y, Rose M, Vazvaei-Smith F, Steenwyk R. Biomarker Assay Validation by Mass Spectrometry. AAPS J 2022; 24:66. [PMID: 35534647 DOI: 10.1208/s12248-022-00707-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Accepted: 03/31/2022] [Indexed: 11/30/2022] Open
Abstract
Decades of discussion and publication have gone into the guidance from the scientific community and the regulatory agencies on the use and validation of pharmacokinetic and toxicokinetic assays by chromatographic and ligand binding assays for the measurement of drugs and metabolites. These assay validations are well described in the FDA Guidance on Bioanalytical Methods Validation (BMV, 2018). While the BMV included biomarker assay validation, the focus was on understanding the challenges posed in validating biomarker assays and the importance of having reliable biomarker assays when used for regulatory submissions, rather than definition of the appropriate experiments to be performed. Different from PK bioanalysis, analysis of biomarkers can be challenging due to the presence of target analyte(s) in the control matrices used for calibrator and quality control sample preparation, and greater difficulty in procuring appropriate reference standards representative of the endogenous molecule. Several papers have been published offering recommendations for biomarker assay validation. The situational nature of biomarker applications necessitates fit-for-purpose (FFP) assay validation. A unifying theme for FFP analysis is that method validation requirements be consistent with the proposed context of use (COU) for any given biomarker. This communication provides specific recommendations for biomarker assay validation (BAV) by LC-MS, for both small and large molecule biomarkers. The consensus recommendations include creation of a validation plan that contains definition of the COU of the assay, use of the PK assay validation elements that support the COU, and definition of assay validation elements adapted to fit biomarker assays and the acceptance criteria for both.
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Affiliation(s)
| | - Brad Ackermann
- Eli Lilly & Company, Lilly Corporate Center, Indianapolis, IN, 46285, USA
| | - Fabio Garofolo
- BRI - a Frontage Company, 8898 Heather St, Vancouver, British Columbia, V6P 3S8, Canada
| | - Mark E Arnold
- Labcorp Drug Development, 221 Tulip Tree Drive, Westampton, NJ, 08060-5511, USA
| | - Binodh DeSilva
- Bristol-Myers Squibb Co., Route 206 & Province Line Road, Princeton, NJ, 08543, USA
| | - Huidong Gu
- Bristol-Myers Squibb Co., Route 206 & Province Line Road, Princeton, NJ, 08543, USA
| | - Omar Laterza
- Merck and Co Inc., 90 E Scott Ave, Rahway, NJ, 07065, USA
| | - Yan Mao
- Boehringer-Ingelheim Pharmaceuticals, 900 Ridgebury Road, Ridgefield, CT, 06877, USA
| | - Mark Rose
- Gossamer Bio Inc., 3013 Science Park Road, Suite 200, San Diego, CA, 92121, USA
| | | | - Rick Steenwyk
- Pfizer-Retired, 8739 N Homestead Circle, Irons, MI, 49644, USA
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Yuen KC, Liu LF, Gupta V, Madireddi S, Keerthivasan S, Li C, Rishipathak D, Williams P, Kadel EE, Koeppen H, Chen YJ, Modrusan Z, Grogan JL, Banchereau R, Leng N, Thastrom A, Shen X, Hashimoto K, Tayama D, van der Heijden MS, Rosenberg JE, McDermott DF, Powles T, Hegde PS, Huseni MA, Mariathasan S. High systemic and tumor-associated IL-8 correlates with reduced clinical benefit of PD-L1 blockade. Nat Med 2020; 26:693-698. [PMID: 32405063 DOI: 10.1038/s41591-020-0860-1] [Citation(s) in RCA: 295] [Impact Index Per Article: 59.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Accepted: 03/30/2020] [Indexed: 12/12/2022]
Abstract
Although elevated plasma interleukin-8 (pIL-8) has been associated with poor outcome to immune checkpoint blockade 1, this has not been comprehensively evaluated in large randomized studies. Here we analyzed circulating pIL-8 and IL8 gene expression in peripheral blood mononuclear cells and tumors of patients treated with atezolizumab (anti-PD-L1 monoclonal antibody) from multiple randomized trials representing 1,445 patients with metastatic urothelial carcinoma (mUC) and metastatic renal cell carcinoma. High levels of IL-8 in plasma, peripheral blood mononuclear cells and tumors were associated with decreased efficacy of atezolizumab in patients with mUC and metastatic renal cell carcinoma, even in tumors that were classically CD8+ T cell inflamed. Low baseline pIL-8 in patients with mUC was associated with increased response to atezolizumab and chemotherapy. Patients with mUC who experienced on-treatment decreases in pIL-8 exhibited improved overall survival when treated with atezolizumab but not with chemotherapy. Single-cell RNA sequencing of the immune compartment showed that IL8 is primarily expressed in circulating and intratumoral myeloid cells and that high IL8 expression is associated with downregulation of the antigen-presentation machinery. Therapies that can reverse the impacts of IL-8-mediated myeloid inflammation will be essential for improving outcomes of patients treated with immune checkpoint inhibitors.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Jonathan E Rosenberg
- Genitourinary Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Thomas Powles
- Barts Experimental Cancer Medicine Centre, Barts Cancer Institute, Queen Mary University of London, London, UK
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Development of an IL-6 point-of-care assay: utility for real-time monitoring and management of cytokine release syndrome and sepsis. Bioanalysis 2019; 11:1777-1785. [PMID: 31547696 DOI: 10.4155/bio-2019-0192] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Aim: Bedside or point-of-care testing (POCT) provides immediate results, allowing for rapid clinical decision making and management of critically ill patients. IL-6 is a central mediator in cytokine release syndrome and sepsis, two potentially life-threatening events. A real-time point-of-care measurement of IL-6 readily available in hospitals and/or to clinicians could provide a valuable tool for decision making. Materials & methods: An IL-6 assay is developed on a POCT device (Proxim, CA, USA), with comparison data measured by ELISA, Ella, and the Roche Cobas. Results: Samples evaluated on a Proxim POCT device showed good correlation with data from multiple platforms. Conclusions: An IL-6 point-of-care assay was developed as potential tool for rapid clinical decision making and management of patients with sepsis and/or cytokine release syndrome.
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6
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Use of Ella® to facilitate drug quantification and antidrug antibody detection in preclinical studies. Bioanalysis 2019; 11:153-164. [DOI: 10.4155/bio-2018-0288] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Aim: To explore the usability of the Ella® platform for preclinical analysis of therapeutic antibodies and antidrug antibodies (ADA). Experimental: Two well-established ELISAs for the measurement of human IgG and ADA were transferred to the Ella platform. ELISA and the Ella platform were compared using assay qualification data and results of preclinical sample analysis. Results: The performance and results of both assays on the Ella platform were comparable to those of ELISA. The Ella platform had several advantages, including time efficiency, low sample consumption and a high degree of automation. ADA were assessed on Ella for the first time. Conclusion: The Ella platform is a promising tool for the analysis of preclinical samples.
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7
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Biomarqueurs prédictifs de réponse aux inhibiteurs de points de contrôle immuns. Bull Cancer 2018; 105 Suppl 1:S80-S91. [DOI: 10.1016/s0007-4551(18)30393-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2017] [Accepted: 10/23/2017] [Indexed: 11/21/2022]
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Optimization and qualification of the single molecule array digital immunoassay for IL-12p70 in plasma of cancer patients. Bioanalysis 2018; 10:1413-1425. [DOI: 10.4155/bio-2018-0083] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Aim: Cytokine/chemokine levels can reflect the pharmacodynamics of checkpoint inhibitors. The single molecule array (Simoa) HD-1 is a sensitive next-generation immunoassay platform for quantification of low abundance proteins, with potential for cancer immunotherapy mechanism of action studies. Results: The Simoa IL-12p70 reagents, standard curve and test conditions were optimized for improved precision and linearity of dilution in plasma of cancer patients. The assay achieved a lower limit of quantification of 0.08 pg/ml, with 27/29 samples recording above lower limit of quantification, precision ≤20% CV and accuracy within 80–120%. Conclusion: Simoa enabled quantification of IL-12p70 at sub-pg/ml levels in cancer patients and was superior to Simple Plex™ and Aushon® in overall performance. This study qualifies the user-modified IL-12p70 immunoassay to measure pharmacodynamic changes in plasma during cancer immunotherapy.
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Han C, Bellone S, Siegel ER, Altwerger G, Menderes G, Bonazzoli E, Egawa-Takata T, Pettinella F, Bianchi A, Riccio F, Zammataro L, Yadav G, Marto JA, Penet MF, Levine DA, Drapkin R, Patel A, Litkouhi B, Ratner E, Silasi DA, Huang GS, Azodi M, Schwartz PE, Santin AD. A novel multiple biomarker panel for the early detection of high-grade serous ovarian carcinoma. Gynecol Oncol 2018; 149:585-591. [PMID: 29572027 DOI: 10.1016/j.ygyno.2018.03.050] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Revised: 03/13/2018] [Accepted: 03/15/2018] [Indexed: 12/18/2022]
Abstract
INTRODUCTION Since the majority of patients are diagnosed at an advanced stage, ovarian cancer remains the most lethal gynecologic malignancy. There is no single biomarker with the sensitivity and specificity required for effective cancer screening; therefore, we investigated a panel of novel biomarkers for the early detection of high-grade serous ovarian carcinoma. METHODS Twelve serum biomarkers with high differential gene expression and validated antibodies were selected: IL-1Ra, IL-6, Dkk-1, uPA, E-CAD, ErbB2, SLPI, HE4, CA125, LCN2, MSLN, and OPN. They were tested using Simple Plex™, a multi-analyte immunoassay platform, in samples collected from 172 patients who were either healthy, had benign gynecologic pathologies, or had high-grade serous ovarian adenocarcinomas. The receiver operating characteristic (ROC) curve, ROC area under the curve (AUC), and standard error (SE) of the AUC were obtained. Univariate ROC analyses and multivariate ROC analyses with the combination of multiple biomarkers were performed. RESULTS The 4-marker panel consisting of CA125, HE4, E-CAD, and IL-6 had the highest ROC AUC. When evaluated for the ability to distinguish early stage ovarian cancer from a non-cancer control, not only did this 4-marker panel (AUC=0.961) performed better than CA 125 alone (AUC=0.851; P=0.0150) and HE4 alone (AUC=0.870; P=0.0220), but also performed significantly better than the 2- marker combination of CA125+HE4 (AUC=0.922; P=0.0278). The 4-marker panel had the highest average sensitivity under the region of its ROC curve corresponding to specificity ranging from 100% down to ~95%. CONCLUSION The four-marker panel, CA125, HE4, E-CAD, and IL-6, shows potential in detecting serous ovarian cancer at earlier stages. Additional validation studies using the biomarker combination in ovarian cancer patients are warranted.
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Affiliation(s)
- Chanhee Han
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Stefania Bellone
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Eric R Siegel
- Department of Biostatistics, University of Arkansas for Medical Science, Little Rock, AR 72205, USA
| | - Gary Altwerger
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Gulden Menderes
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Elena Bonazzoli
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Tomomi Egawa-Takata
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Francesca Pettinella
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Anna Bianchi
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Francesco Riccio
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Luca Zammataro
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Ghanshyam Yadav
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Jarrod A Marto
- Department of Cancer Biology, Department of Oncologic Pathology, Blais Proteomic Center, Dana-Farber Cancer Institute, Boston, MA 02115, USA; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Marie-France Penet
- Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Douglas A Levine
- Division of Gynecologic Oncology, Laura and Isaac Perlmutter Cancer Center, NYU Langone Health, New York, NY 10016, USA
| | - Ronny Drapkin
- Department of Obstetrics and Gynecology, Penn Ovarian Cancer Research Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Abhijit Patel
- Department of Therapeutic Radiology, Yale School of Medicine, New Haven, CT 06510, USA
| | - Babak Litkouhi
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Elena Ratner
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Dan-Arin Silasi
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Gloria S Huang
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Masoud Azodi
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Peter E Schwartz
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Alessandro D Santin
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, CT 06520, USA.
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Frelau A, Pracht M, Le Sourd S, Lespagnol A, Corre R, Ménard C, Tarte K, Mosser J, Edeline J. WITHDRAWN: Biomarqueurs prédictifs de réponse aux inhibiteurs de points de contrôle immuns. Bull Cancer 2018:S0007-4551(17)30384-3. [PMID: 29525053 DOI: 10.1016/j.bulcan.2017.10.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2017] [Revised: 10/19/2017] [Accepted: 10/23/2017] [Indexed: 11/19/2022]
Affiliation(s)
- Alexandra Frelau
- CLCC Eugène-Marquis UNICANCER, oncologie médicale, avenue de la Bataille-Flandres-Dunkerque, 35042 Rennes cedex, France.
| | - Marc Pracht
- CLCC Eugène-Marquis UNICANCER, oncologie médicale, avenue de la Bataille-Flandres-Dunkerque, 35042 Rennes cedex, France
| | - Samuel Le Sourd
- CLCC Eugène-Marquis UNICANCER, oncologie médicale, avenue de la Bataille-Flandres-Dunkerque, 35042 Rennes cedex, France
| | - Alexandra Lespagnol
- CHU de Rennes, laboratoire de génétique somatique des cancers, 2, rue Henri-Le-Guilloux, 35033 Rennes cedex 9, France
| | - Romain Corre
- CHU de Rennes, service de pneumologie, 2, rue Henri-Le-Guilloux, 35033 Rennes cedex 9, France
| | - Cédric Ménard
- CHU de Rennes, Inserm U197, laboratoire d'immunologie, thérapie cellulaire et hématopoïèse, 2, rue Henri-Le-Guilloux, 35033 Rennes cedex 9, France
| | - Karin Tarte
- CHU de Rennes, Inserm U197, laboratoire d'immunologie, thérapie cellulaire et hématopoïèse, 2, rue Henri-Le-Guilloux, 35033 Rennes cedex 9, France
| | - Jean Mosser
- CHU de Rennes, laboratoire de génétique somatique des cancers, 2, rue Henri-Le-Guilloux, 35033 Rennes cedex 9, France; CHU de Rennes, institut de génétique et développement, CNRS-UR1, IGRD UMR 6290, 2, rue Henri-Le-Guilloux, 35033 Rennes cedex 9, France
| | - Julien Edeline
- CLCC Eugène-Marquis UNICANCER, oncologie médicale, avenue de la Bataille-Flandres-Dunkerque, 35042 Rennes cedex, France; CHU de Rennes, UMR991, unité de recherche foie, métabolisme et cancer, 2, rue Henri-Le-Guilloux, 35033 Rennes cedex 9, France
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Emerging technologies for biotherapeutic bioanalysis from a high-throughput and multiplexing perspective: insights from an AAPS emerging technology action program committee. Bioanalysis 2018; 10:181-194. [DOI: 10.4155/bio-2017-0196] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
This manuscript aims to provide insights and updates on emerging technologies from a throughput and multiplexing perspective and to update readers on changes in previously reported technologies. The technologies discussed range from nascent (ultrasensitive Cira, Intellicyt®, Dynaxi and Captsure™) to the more established (Ella and SQIDlite™). For the nascent technologies, there was an emphasis on user interviews and reviews, where available, to help provide an unbiased view to our readers. For the Ella, a review of published user data as well as author and other user experiences are summarized. Due to their emergent nature, all the technologies described are applicable in the early drug development stage, may require an upfront investment of capital and may not perform as expected.
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12
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Dysinger M, Marusov G, Fraser S. Quantitative analysis of four protein biomarkers: An automated microfluidic cartridge-based method and its comparison to colorimetric ELISA. J Immunol Methods 2017; 451:1-10. [DOI: 10.1016/j.jim.2017.08.009] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Revised: 08/14/2017] [Accepted: 08/28/2017] [Indexed: 12/21/2022]
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The breadth of biomarkers and their assays: part 2. Bioanalysis 2016; 8:2381-2382. [PMID: 27855504 DOI: 10.4155/bio-2016-4984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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