Literature DB >> 33740004

Establishing CD19 B-cell reference control materials for comparable and quantitative cytometric expression analysis.

Lili Wang1, Rukmini Bhardwaj2, Howard Mostowski2, Paul N Patrone3, Anthony J Kearsley3, Jessica Watson4, Liang Lim4, Jothir Pichaandi4, Olga Ornatsky4, Daniel Majonis4, Steven R Bauer2, Heba A Degheidy2.   

Abstract

In the field of cell-based therapeutics, there is a great need for high-quality, robust, and validated measurements for cell characterization. Flow cytometry has emerged as a critically important platform due to its high-throughput capability and its ability to simultaneously measure multiple parameters in the same sample. However, to assure the confidence in measurement, well characterized biological reference materials are needed for standardizing clinical assays and harmonizing flow cytometric results between laboratories. To date, the lack of adequate reference materials, and the complexity of the cytometer instrumentation have resulted in few standards. This study was designed to evaluate CD19 expression in three potential biological cell reference materials and provide a preliminary assessment of their suitability to support future development of CD19 reference standards. Three commercially available human peripheral blood mononuclear cells (PBMCs) obtained from three different manufacturers were tested. Variables that could potentially contribute to the differences in the CD19 expression, such as PBMCs manufacturing process, number of healthy donors used in manufacturing each PBMC lot, antibody reagent, operators, and experimental days were included in our evaluation. CD19 antibodies bound per cell (ABC) values were measured using two flow cytometry-based quantification schemes with two independent calibration methods, a single point calibration using a CD4 reference cell and QuantiBrite PE bead calibration. Three lots of PBMC from three different manufacturers were obtained. Each lot of PBMC was tested on three different experimental days by three operators using three different lots of unimolar anti-CD19PE conjugates. CD19 ABC values were obtained in parallel on a selected lot of the PBMC samples using mass spectrometry (CyTOF) with two independent calibration methods, EQ4 and bead-based calibration were evaluated with CyTOF-technology. Including all studied variabilities such as PBMC lot, antibody reagent lot, and operator, the averaged mean values of CD19 ABC for the three PBMC manufacturers (A,B, and C) obtained by flow cytometry were found to be: 7953 with a %CV of 9.0 for PBMC-A, 10535 with a %CV of 7.8 for PBMC-B, and 12384 with a %CV of 16 for PBMC-C. These CD19 ABC values agree closely with the findings using CyTOF. The averaged mean values of CD19 ABC for the tested PBMCs is 9295 using flow cytometry-based method and 9699 using CyTOF. The relative contributions from various sources of uncertainty in CD19 ABC values were quantified for the flow cytometry-based measurement scheme. This uncertainty analysis suggests that the number of antigens or ligand binding sites per cell in each PBMC preparation is the largest source of variability. On the other hand, the calibration method does not add significant uncertainty to the expression estimates. Our preliminary assessment showed the suitability of the tested materials to serve as PBMC-based CD19+ reference control materials for use in quantifying relevant B cell markers in B cell lymphoproliferative disorders and immunotherapy. However, users should consider the variabilities resulting from different lots of PBMC and antibody reagent when utilizing cell-based reference materials for quantification purposes and perform bridging studies to ensure harmonization between the results before switching to a new lot.

Entities:  

Year:  2021        PMID: 33740004      PMCID: PMC7978366          DOI: 10.1371/journal.pone.0248118

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  52 in total

1.  Higher levels of surface CD20 expression on circulating lymphocytes compared with bone marrow and lymph nodes in B-cell chronic lymphocytic leukemia.

Authors:  Y O Huh; M J Keating; H L Saffer; I Jilani; S Lerner; M Albitar
Journal:  Am J Clin Pathol       Date:  2001-09       Impact factor: 2.493

2.  Human CD4+ lymphocytes for antigen quantification: characterization using conventional flow cytometry and mass cytometry.

Authors:  Lili Wang; Fatima Abbasi; Olga Ornatsky; Kenneth D Cole; Martin Misakian; Adolfas K Gaigalas; Hua-Jun He; Gerald E Marti; Scott Tanner; Richard Stebbings
Journal:  Cytometry A       Date:  2012-04-26       Impact factor: 4.355

3.  CD38 as a prognostic factor in B cell chronic lymphocytic leukaemia (B-CLL): comparison of three approaches to analyze its expression.

Authors:  Joke G Boonstra; Kirsten van Lom; Anton W Langerak; Wilfried J Graveland; Peter J M Valk; Jaco Kraan; Mars B van 't Veer; Jan W Gratama
Journal:  Cytometry B Clin Cytom       Date:  2006-05       Impact factor: 3.058

4.  Variables affecting the quantitation of CD22 in neoplastic B cells.

Authors:  Gregory A Jasper; Indu Arun; David Venzon; Robert J Kreitman; Alan S Wayne; Constance M Yuan; Gerald E Marti; Maryalice Stetler-Stevenson
Journal:  Cytometry B Clin Cytom       Date:  2010-09-24       Impact factor: 3.058

5.  Modulation of Target Antigen Density Improves CAR T-cell Functionality and Persistence.

Authors:  Sneha Ramakrishna; Steven L Highfill; Zachary Walsh; Sang M Nguyen; Haiyan Lei; Jack F Shern; Haiying Qin; Ira L Kraft; Maryalice Stetler-Stevenson; Constance M Yuan; Jennifer D Hwang; Yang Feng; Zhongyu Zhu; Dimiter Dimitrov; Nirali N Shah; Terry J Fry
Journal:  Clin Cancer Res       Date:  2019-05-20       Impact factor: 12.531

Review 6.  Chimeric Antigen Receptor Therapy.

Authors:  Carl H June; Michel Sadelain
Journal:  N Engl J Med       Date:  2018-07-05       Impact factor: 91.245

7.  CAR T-cell therapy is effective for CD19-dim B-lymphoblastic leukemia but is impacted by prior blinatumomab therapy.

Authors:  Vinodh Pillai; Kavitha Muralidharan; Wenzhao Meng; Asen Bagashev; Derek A Oldridge; Jaclyn Rosenthal; John Van Arnam; Jos J Melenhorst; Diwakar Mohan; Amanda M DiNofia; Minjie Luo; Sindhu Cherian; Jonathan R Fromm; Gerald Wertheim; Andrei Thomas-Tikhonenko; Michele Paessler; Carl H June; Eline T Luning Prak; Vijay G Bhoj; Stephan A Grupp; Shannon L Maude; Susan R Rheingold
Journal:  Blood Adv       Date:  2019-11-26

8.  Mass-Spectrometry-Based Method To Quantify in Parallel Tau and Amyloid β 1-42 in CSF for the Diagnosis of Alzheimer's Disease.

Authors:  Gwënaël Pottiez; Li Yang; Tessandra Stewart; Ning Song; Patrick Aro; Douglas R Galasko; Joseph F Quinn; Elaine R Peskind; Min Shi; Jing Zhang
Journal:  J Proteome Res       Date:  2017-02-07       Impact factor: 4.466

9.  Quantification of expression of antigens targeted by antibody-based therapy in chronic lymphocytic leukemia.

Authors:  Prashant R Tembhare; Gerald Marti; Adrian Wiestner; Heba Degheidy; Mohammed Farooqui; Robert J Kreitman; Gregory A Jasper; Constance M Yuan; David Liewehr; David Venzon; Maryalice Stetler-Stevenson
Journal:  Am J Clin Pathol       Date:  2013-12       Impact factor: 2.493

10.  Preclinical Development of a Bispecific Antibody that Safely and Effectively Targets CD19 and CD47 for the Treatment of B-Cell Lymphoma and Leukemia.

Authors:  Vanessa Buatois; Zoë Johnson; Susana Salgado-Pires; Anne Papaioannou; Eric Hatterer; Xavier Chauchet; Françoise Richard; Leticia Barba; Bruno Daubeuf; Laura Cons; Lucile Broyer; Matilde D'Asaro; Thomas Matthes; Simon LeGallou; Thierry Fest; Karin Tarte; Robert K Clarke Hinojosa; Eulàlia Genescà Ferrer; José María Ribera; Aditi Dey; Katharine Bailey; Adele K Fielding; Linda Eissenberg; Julie Ritchey; Michael Rettig; John F DiPersio; Marie H Kosco-Vilbois; Krzysztof Masternak; Nicolas Fischer; Limin Shang; Walter G Ferlin
Journal:  Mol Cancer Ther       Date:  2018-05-09       Impact factor: 6.261

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