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Longhini ALF, Fernández-Maestre I, Kennedy MC, Wereski MG, Mowla S, Xiao W, Lowe SW, Levine RL, Gardner R. Development of a customizable mouse backbone spectral flow cytometry panel to delineate immune cell populations in normal and tumor tissues. Front Immunol 2024; 15:1374943. [PMID: 38605953 PMCID: PMC11008467 DOI: 10.3389/fimmu.2024.1374943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 03/13/2024] [Indexed: 04/13/2024] Open
Abstract
Introduction In vivo studies of cancer biology and assessment of therapeutic efficacy are critical to advancing cancer research and ultimately improving patient outcomes. Murine cancer models have proven to be an invaluable tool in pre-clinical studies. In this context, multi-parameter flow cytometry is a powerful method for elucidating the profile of immune cells within the tumor microenvironment and/or play a role in hematological diseases. However, designing an appropriate multi-parameter panel to comprehensively profile the increasing diversity of immune cells across different murine tissues can be extremely challenging. Methods To address this issue, we designed a panel with 13 fixed markers that define the major immune populations -referred to as the backbone panel- that can be profiled in different tissues but with the option to incorporate up to seven additional fluorochromes, including any marker specific to the study in question. Results This backbone panel maintains its resolution across different spectral flow cytometers and organs, both hematopoietic and non-hematopoietic, as well as tumors with complex immune microenvironments. Discussion Having a robust backbone that can be easily customized with pre-validated drop-in fluorochromes saves time and resources and brings consistency and standardization, making it a versatile solution for immuno-oncology researchers. In addition, the approach presented here can serve as a guide to develop similar types of customizable backbone panels for different research questions requiring high-parameter flow cytometry panels.
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Affiliation(s)
- Ana Leda F. Longhini
- Flow Cytometry Core Facility, Memorial Sloan Kettering Cancer Center (MSKCC), New York, NY, United States
| | - Inés Fernández-Maestre
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
- Louis V. Gerstner Jr Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Margaret C. Kennedy
- Louis V. Gerstner Jr Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, United States
- Department of Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | | | - Shoron Mowla
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Wenbin Xiao
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY, United States
- Department of Pathology and Laboratory Medicine, Hematopathology Service, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Scott W. Lowe
- Department of Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, NY, United States
- Howard Hughes Medical Institute, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Ross L. Levine
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY, United States
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Rui Gardner
- Flow Cytometry Core Facility, Memorial Sloan Kettering Cancer Center (MSKCC), New York, NY, United States
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Fobare S, Elgamal OA, Wunderlich M, Stahl E, Mehmood A, Furby C, Lerma JR, Sesterhenn TM, Pan J, Rai J, Johnstone ME, Abdul-Aziz A, Johnson ML, Rai SN, Byrd JC, Hertlein E. Inhibition of Enhancer of Zeste Homolog 2 Induces Blast Differentiation, Impairs Engraftment and Prolongs Survival in Murine Models of Acute Myeloid Leukemia. Cancers (Basel) 2024; 16:569. [PMID: 38339323 PMCID: PMC10854504 DOI: 10.3390/cancers16030569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 01/21/2024] [Accepted: 01/23/2024] [Indexed: 02/12/2024] Open
Abstract
BACKGROUND Acute myeloid leukemia (AML) is the malignant proliferation of immature myeloid cells characterized by a block in differentiation. As such, novel therapeutic strategies to promote the differentiation of immature myeloid cells have been successful in AML, although these agents are targeted to a specific mutation that is only present in a subset of AML patients. In the current study, we show that targeting the epigenetic modifier enhancer of zeste homolog 2 (EZH2) can induce the differentiation of immature blast cells into a more mature myeloid phenotype and promote survival in AML murine models. METHODS The EZH2 inhibitor EPZ011989 (EPZ) was studied in AML cell lines, primary in AML cells and normal CD34+ stem cells. A pharmacodynamic assessment of H3K27me3; studies of differentiation, cell growth, and colony formation; and in vivo therapeutic studies including the influence on primary AML cell engraftment were also conducted. RESULTS EPZ inhibited H3K27me3 in AML cell lines and primary AML samples in vitro. EZH2 inhibition reduced colony formation in multiple AML cell lines and primary AML samples, while exhibiting no effect on colony formation in normal CD34+ stem cells. In AML cells, EPZ promoted phenotypic evidence of differentiation. Finally, the pretreatment of primary AML cells with EPZ significantly delayed engraftment and prolonged the overall survival when engrafted into immunodeficient mice. CONCLUSIONS Despite evidence that EZH2 silencing in MDS/MPN can promote AML pathogenesis, our data demonstrate that the therapeutic inhibition of EZH2 in established AML has the potential to improve survival.
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Affiliation(s)
- Sydney Fobare
- Medical Scientist Training Program, The Ohio State University, Columbus, OH 43210, USA;
- Department of Internal Medicine, University of Cincinnati, Cincinnati, OH 45229, USA (J.C.B.)
| | - Ola A. Elgamal
- Department of Internal Medicine, University of Cincinnati, Cincinnati, OH 45229, USA (J.C.B.)
| | - Mark Wunderlich
- Experimental Hematology and Cancer Biology, Cincinnati Children’s Hospital, Cincinnati, OH 45229, USA
| | - Emily Stahl
- Department of Internal Medicine, The Ohio State University, Columbus, OH 43210, USA
| | - Abeera Mehmood
- Department of Internal Medicine, The Ohio State University, Columbus, OH 43210, USA
| | - Casie Furby
- Department of Internal Medicine, University of Cincinnati, Cincinnati, OH 45229, USA (J.C.B.)
| | - James R. Lerma
- Department of Internal Medicine, University of Cincinnati, Cincinnati, OH 45229, USA (J.C.B.)
| | - Thomas M. Sesterhenn
- Department of Internal Medicine, University of Cincinnati, Cincinnati, OH 45229, USA (J.C.B.)
| | - Jianmin Pan
- Division of Biostatistics and Bioinformatics, Department of Environmental Health and Public Health Sciences, University of Cincinnati, Cincinnati, OH 45267, USA
- The Cancer Data Science Center, Department of Environmental Health and Public Health Sciences, University of Cincinnati, Cincinnati, OH 45267, USA
- Biostatistics and Informatics Shared Resource, University of Cincinnati Cancer Center, Cincinnati, OH 45267, USA
| | - Jayesh Rai
- Division of Biostatistics and Bioinformatics, Department of Environmental Health and Public Health Sciences, University of Cincinnati, Cincinnati, OH 45267, USA
- The Cancer Data Science Center, Department of Environmental Health and Public Health Sciences, University of Cincinnati, Cincinnati, OH 45267, USA
- Biostatistics and Informatics Shared Resource, University of Cincinnati Cancer Center, Cincinnati, OH 45267, USA
| | - Megan E. Johnstone
- Department of Internal Medicine, University of Cincinnati, Cincinnati, OH 45229, USA (J.C.B.)
| | - Amina Abdul-Aziz
- Department of Internal Medicine, University of Cincinnati, Cincinnati, OH 45229, USA (J.C.B.)
| | - Mariah L. Johnson
- Department of Internal Medicine, The Ohio State University, Columbus, OH 43210, USA
| | - Shesh N. Rai
- Division of Biostatistics and Bioinformatics, Department of Environmental Health and Public Health Sciences, University of Cincinnati, Cincinnati, OH 45267, USA
- The Cancer Data Science Center, Department of Environmental Health and Public Health Sciences, University of Cincinnati, Cincinnati, OH 45267, USA
- Biostatistics and Informatics Shared Resource, University of Cincinnati Cancer Center, Cincinnati, OH 45267, USA
| | - John C. Byrd
- Department of Internal Medicine, University of Cincinnati, Cincinnati, OH 45229, USA (J.C.B.)
| | - Erin Hertlein
- Department of Internal Medicine, University of Cincinnati, Cincinnati, OH 45229, USA (J.C.B.)
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