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Mangum R, Lin FY, Parsons DW. Recent Advancements and Innovations in Pediatric Precision Oncology. J Pediatr Hematol Oncol 2024; 46:262-271. [PMID: 38857189 DOI: 10.1097/mph.0000000000002871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Accepted: 03/29/2024] [Indexed: 06/12/2024]
Abstract
Precision oncology incorporates comprehensive genomic profiling into the individualized clinical care of pediatric cancer patients. In recent years, comprehensive pan-cancer analyses have led to the successful implementation of genomics-based pediatric trials and accelerated approval of novel targeted agents. In addition, disease-specific studies have resulted in molecular subclassification of myriad cancer types with subsequent tailoring of treatment intensity based on the patient's prognostic factors. This review discusses the progress of the field and highlights developments that are leading to more personalized cancer care and improved patient outcomes. Increased understanding of the evolution of precision oncology over recent decades emphasizes the tremendous impact of improved genomic applications. New technologies and improved diagnostic modalities offer further promise for future advancements within the field.
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Affiliation(s)
- Ross Mangum
- Center for Cancer and Blood Disorders, Phoenix Children's Hospital, Phoenix, AZ
| | - Frank Y Lin
- Department of Pediatrics, Texas Children's Cancer Center
- The Dan L. Duncan Cancer Center
| | - D Williams Parsons
- Department of Pediatrics, Texas Children's Cancer Center
- The Dan L. Duncan Cancer Center
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
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2
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Caulier B, Joaquina S, Gelebart P, Dowling TH, Kaveh F, Thomas M, Tandaric L, Wernhoff P, Katyayini NU, Wogsland C, Gjerstad ME, Fløisand Y, Kvalheim G, Marr C, Kobold S, Enserink JM, Gjertsen BT, McCormack E, Inderberg EM, Wälchli S. CD37 is a safe chimeric antigen receptor target to treat acute myeloid leukemia. Cell Rep Med 2024; 5:101572. [PMID: 38754420 DOI: 10.1016/j.xcrm.2024.101572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 03/05/2024] [Accepted: 04/23/2024] [Indexed: 05/18/2024]
Abstract
Acute myeloid leukemia (AML) is characterized by the accumulation of immature myeloid cells in the bone marrow and the peripheral blood. Nearly half of the AML patients relapse after standard induction therapy, and new forms of therapy are urgently needed. Chimeric antigen receptor (CAR) T therapy has so far not been successful in AML due to lack of efficacy and safety. Indeed, the most attractive antigen targets are stem cell markers such as CD33 or CD123. We demonstrate that CD37, a mature B cell marker, is expressed in AML samples, and its presence correlates with the European LeukemiaNet (ELN) 2017 risk stratification. We repurpose the anti-lymphoma CD37CAR for the treatment of AML and show that CD37CAR T cells specifically kill AML cells, secrete proinflammatory cytokines, and control cancer progression in vivo. Importantly, CD37CAR T cells display no toxicity toward hematopoietic stem cells. Thus, CD37 is a promising and safe CAR T cell AML target.
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MESH Headings
- Humans
- Leukemia, Myeloid, Acute/therapy
- Leukemia, Myeloid, Acute/immunology
- Leukemia, Myeloid, Acute/pathology
- Receptors, Chimeric Antigen/immunology
- Receptors, Chimeric Antigen/metabolism
- Animals
- Immunotherapy, Adoptive/methods
- Mice
- Tetraspanins/immunology
- Cell Line, Tumor
- T-Lymphocytes/immunology
- Antigens, Differentiation, Myelomonocytic/metabolism
- Antigens, Differentiation, Myelomonocytic/immunology
- Female
- Male
- Antigens, Neoplasm
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Affiliation(s)
- Benjamin Caulier
- Translational Research Unit, Section for Cellular Therapy, Department of Oncology, Oslo University Hospital, Oslo, Norway; Institute for Cancer Research, Department of Molecular Cell Biology, Oslo University Hospital, Oslo, Norway; Center for Cancer Cell Reprogramming (CanCell), Institute for Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Sandy Joaquina
- Translational Research Unit, Section for Cellular Therapy, Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - Pascal Gelebart
- Department of Clinical Science, Precision Oncology Research Group, University of Bergen, 5021 Bergen, Norway; Centre for Cancer Biomarkers (CCBIO), University of Bergen, Bergen, Norway
| | - Tara Helén Dowling
- Department of Clinical Science, Precision Oncology Research Group, University of Bergen, 5021 Bergen, Norway; Centre for Pharmacy, Department of Clinical Science, University of Bergen, Bergen, Norway; Centre for Cancer Biomarkers (CCBIO), University of Bergen, Bergen, Norway
| | - Fatemeh Kaveh
- Translational Research Unit, Section for Cellular Therapy, Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - Moritz Thomas
- Institue of AI for Health, Helmholtz Munich, 85764 Neuherberg, Germany; School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany
| | - Luka Tandaric
- Centre for Cancer Biomarkers (CCBIO), University of Bergen, Bergen, Norway; Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
| | - Patrik Wernhoff
- Translational Research Unit, Section for Cellular Therapy, Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - Niveditha Umesh Katyayini
- Institute for Cancer Research, Department of Molecular Cell Biology, Oslo University Hospital, Oslo, Norway; Center for Cancer Cell Reprogramming (CanCell), Institute for Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Cara Wogsland
- Department of Clinical Science, Precision Oncology Research Group, University of Bergen, 5021 Bergen, Norway; Centre for Cancer Biomarkers (CCBIO), University of Bergen, Bergen, Norway
| | - May Eriksen Gjerstad
- Department of Clinical Science, Precision Oncology Research Group, University of Bergen, 5021 Bergen, Norway; Centre for Cancer Biomarkers (CCBIO), University of Bergen, Bergen, Norway
| | - Yngvar Fløisand
- Institute for Cancer Research, Department of Molecular Cell Biology, Oslo University Hospital, Oslo, Norway
| | - Gunnar Kvalheim
- Translational Research Unit, Section for Cellular Therapy, Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - Carsten Marr
- Institue of AI for Health, Helmholtz Munich, 85764 Neuherberg, Germany
| | - Sebastian Kobold
- Division of Clinical Pharmacology, Department of Medicine IV, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany; German Center for Translational Cancer Research (DKTK), Partner Site Munich, Munich, Germany; Einheit für Klinische Pharmakologie (EKLiP), Helmholtz Zentrum München, Research Center for Environmental Health (HMGU), Neuherberg, Germany
| | - Jorrit M Enserink
- Institute for Cancer Research, Department of Molecular Cell Biology, Oslo University Hospital, Oslo, Norway; Center for Cancer Cell Reprogramming (CanCell), Institute for Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway; Section for Biochemistry and Molecular Biology, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway
| | - Bjørn Tore Gjertsen
- Centre for Cancer Biomarkers (CCBIO), University of Bergen, Bergen, Norway; Department of Medicine, Hematology Section, Haukeland University Hospital, Bergen, Norway
| | - Emmet McCormack
- Department of Clinical Science, Precision Oncology Research Group, University of Bergen, 5021 Bergen, Norway; Centre for Pharmacy, Department of Clinical Science, University of Bergen, Bergen, Norway; Centre for Cancer Biomarkers (CCBIO), University of Bergen, Bergen, Norway
| | - Else Marit Inderberg
- Translational Research Unit, Section for Cellular Therapy, Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - Sébastien Wälchli
- Translational Research Unit, Section for Cellular Therapy, Department of Oncology, Oslo University Hospital, Oslo, Norway.
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3
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Selheim F, Aasebø E, Reikvam H, Bruserud Ø, Hernandez-Valladares M. Monocytic Differentiation of Human Acute Myeloid Leukemia Cells: A Proteomic and Phosphoproteomic Comparison of FAB-M4/M5 Patients with and without Nucleophosmin 1 Mutations. Int J Mol Sci 2024; 25:5080. [PMID: 38791118 PMCID: PMC11121526 DOI: 10.3390/ijms25105080] [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: 12/20/2023] [Revised: 04/14/2024] [Accepted: 04/24/2024] [Indexed: 05/26/2024] Open
Abstract
Even though morphological signs of differentiation have a minimal impact on survival after intensive cytotoxic therapy for acute myeloid leukemia (AML), monocytic AML cell differentiation (i.e., classified as French/American/British (FAB) subtypes M4/M5) is associated with a different responsiveness both to Bcl-2 inhibition (decreased responsiveness) and possibly also bromodomain inhibition (increased responsiveness). FAB-M4/M5 patients are heterogeneous with regard to genetic abnormalities, even though monocytic differentiation is common for patients with Nucleophosmin 1 (NPM1) insertions/mutations; to further study the heterogeneity of FAB-M4/M5 patients we did a proteomic and phosphoproteomic comparison of FAB-M4/M5 patients with (n = 13) and without (n = 12) NPM1 mutations. The proteomic profile of NPM1-mutated FAB-M4/M5 patients was characterized by increased levels of proteins involved in the regulation of endocytosis/vesicle trafficking/organellar communication. In contrast, AML cells without NPM1 mutations were characterized by increased levels of several proteins involved in the regulation of cytoplasmic translation, including a large number of ribosomal proteins. The phosphoproteomic differences between the two groups were less extensive but reflected similar differences. To conclude, even though FAB classification/monocytic differentiation are associated with differences in responsiveness to new targeted therapies (e.g., Bcl-2 inhibition), our results shows that FAB-M4/M5 patients are heterogeneous with regard to important biological characteristics of the leukemic cells.
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Affiliation(s)
- Frode Selheim
- Proteomics Unit of University of Bergen (PROBE), University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway
| | - Elise Aasebø
- Acute Leukemia Research Group, Department of Clinical Science, University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway; (E.A.); (H.R.); (Ø.B.)
| | - Håkon Reikvam
- Acute Leukemia Research Group, Department of Clinical Science, University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway; (E.A.); (H.R.); (Ø.B.)
- Section for Hematology, Department of Medicine, Haukeland University Hospital, 5009 Bergen, Norway
| | - Øystein Bruserud
- Acute Leukemia Research Group, Department of Clinical Science, University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway; (E.A.); (H.R.); (Ø.B.)
- Section for Hematology, Department of Medicine, Haukeland University Hospital, 5009 Bergen, Norway
| | - Maria Hernandez-Valladares
- Proteomics Unit of University of Bergen (PROBE), University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway
- Department of Physical Chemistry, University of Granada, Avenida de la Fuente Nueva S/N, 18071 Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, 18012 Granada, Spain
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4
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Zhou J, Chng WJ. Unveiling novel insights in acute myeloid leukemia through single-cell RNA sequencing. Front Oncol 2024; 14:1365330. [PMID: 38711849 PMCID: PMC11070491 DOI: 10.3389/fonc.2024.1365330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 04/09/2024] [Indexed: 05/08/2024] Open
Abstract
Acute myeloid leukemia (AML) is a complex and heterogeneous group of aggressive hematopoietic stem cell disease. The presence of diverse and functionally distinct populations of leukemia cells within the same patient's bone marrow or blood poses a significant challenge in diagnosing and treating AML. A substantial proportion of AML patients demonstrate resistance to induction chemotherapy and a grim prognosis upon relapse. The rapid advance in next generation sequencing technologies, such as single-cell RNA-sequencing (scRNA-seq), has revolutionized our understanding of AML pathogenesis by enabling high-resolution interrogation of the cellular heterogeneity in the AML ecosystem, and their transcriptional signatures at a single-cell level. New studies have successfully characterized the inextricably intertwined interactions among AML cells, immune cells and bone marrow microenvironment and their contributions to the AML development, therapeutic resistance and relapse. These findings have deepened and broadened our understanding the complexity and heterogeneity of AML, which are difficult to detect with bulk RNA-seq. This review encapsulates the burgeoning body of knowledge generated through scRNA-seq, providing the novel insights and discoveries it has unveiled in AML biology. Furthermore, we discuss the potential implications of scRNA-seq in therapeutic opportunities, focusing on immunotherapy. Finally, we highlight the current limitations and future direction of scRNA-seq in the field.
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Affiliation(s)
- Jianbiao Zhou
- Cancer Science Institute of Singapore, Center for Translational Medicine, National University of Singapore, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- NUS Center for Cancer Research, Center for Translational Medicine, Singapore, Singapore
| | - Wee-Joo Chng
- Cancer Science Institute of Singapore, Center for Translational Medicine, National University of Singapore, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- NUS Center for Cancer Research, Center for Translational Medicine, Singapore, Singapore
- Department of Hematology-Oncology, National University Cancer Institute of Singapore (NCIS), The National University Health System (NUHS), Singapore, Singapore
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5
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Andersen AN, Brodersen AM, Ayuda-Durán P, Piechaczyk L, Tadele DS, Baken L, Fredriksen J, Stoksflod M, Lenartova A, Fløisand Y, Skånland SS, Enserink JM. Clinical forecasting of acute myeloid leukemia using ex vivo drug-sensitivity profiling. CELL REPORTS METHODS 2023; 3:100654. [PMID: 38065095 PMCID: PMC10753296 DOI: 10.1016/j.crmeth.2023.100654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 09/16/2023] [Accepted: 11/09/2023] [Indexed: 12/21/2023]
Abstract
Current treatment selection for acute myeloid leukemia (AML) patients depends on risk stratification based on cytogenetic and genomic markers. However, the forecasting accuracy of treatment response remains modest, with most patients receiving intensive chemotherapy. Recently, ex vivo drug screening has gained traction in personalized treatment selection and as a tool for mapping patient groups based on relevant cancer dependencies. Here, we systematically evaluated the use of drug sensitivity profiling for predicting patient survival and clinical response to chemotherapy in a cohort of AML patients. We compared computational methodologies for scoring drug efficacy and characterized tools to counter noise and batch-related confounders pervasive in high-throughput drug testing. We show that ex vivo drug sensitivity profiling is a robust and versatile approach to patient prognostics that comprehensively maps functional signatures of treatment response and disease progression. In conclusion, ex vivo drug profiling can assess risk for individual AML patients and may guide clinical decision-making.
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Affiliation(s)
- Aram N Andersen
- Department of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital, Montebello, 0379 Oslo, Norway; Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Blindern, 0318 Oslo, Norway; Section for Biochemistry and Molecular Biology, Faculty of Mathematics and Natural Sciences, University of Oslo, Blindernveien 31, 0371 Oslo, Norway.
| | - Andrea M Brodersen
- Department of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital, Montebello, 0379 Oslo, Norway; Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Blindern, 0318 Oslo, Norway; Section for Biochemistry and Molecular Biology, Faculty of Mathematics and Natural Sciences, University of Oslo, Blindernveien 31, 0371 Oslo, Norway
| | - Pilar Ayuda-Durán
- Department of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital, Montebello, 0379 Oslo, Norway; Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Blindern, 0318 Oslo, Norway
| | - Laure Piechaczyk
- Department of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital, Montebello, 0379 Oslo, Norway; Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Blindern, 0318 Oslo, Norway
| | - Dagim Shiferaw Tadele
- Department of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital, Montebello, 0379 Oslo, Norway; Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Blindern, 0318 Oslo, Norway
| | - Lizet Baken
- Department of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital, Montebello, 0379 Oslo, Norway; Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Blindern, 0318 Oslo, Norway
| | - Julia Fredriksen
- Department of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital, Montebello, 0379 Oslo, Norway; Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Blindern, 0318 Oslo, Norway; Department of Haematology, Oslo University Hospital, 0372 Oslo, Norway
| | - Mia Stoksflod
- Department of Haematology, Oslo University Hospital, 0372 Oslo, Norway
| | - Andrea Lenartova
- Department of Haematology, Oslo University Hospital, 0372 Oslo, Norway
| | - Yngvar Fløisand
- Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Blindern, 0318 Oslo, Norway
| | - Sigrid S Skånland
- Department of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Montebello, 0379 Oslo, Norway; K.G. Jebsen Centre for B Cell Malignancies, Institute of Clinical Medicine, University of Oslo, 0372 Oslo, Norway
| | - Jorrit M Enserink
- Department of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital, Montebello, 0379 Oslo, Norway; Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Blindern, 0318 Oslo, Norway; Section for Biochemistry and Molecular Biology, Faculty of Mathematics and Natural Sciences, University of Oslo, Blindernveien 31, 0371 Oslo, Norway.
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6
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Ehsani R, Jonassen I, Akslen LA, Kleftogiannis D. LOCATOR: feature extraction and spatial analysis of the cancer tissue microenvironment using mass cytometry imaging technologies. BIOINFORMATICS ADVANCES 2023; 3:vbad146. [PMID: 37881170 PMCID: PMC10597586 DOI: 10.1093/bioadv/vbad146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 10/02/2023] [Accepted: 10/10/2023] [Indexed: 10/27/2023]
Abstract
Motivation Recent advances in highly multiplexed imaging have provided unprecedented insights into the complex cellular organization of tissues, with many applications in translational medicine. However, downstream analyses of multiplexed imaging data face several technical limitations, and although some computational methods and bioinformatics tools are available, deciphering the complex spatial organization of cellular ecosystems remains a challenging problem. Results To mitigate this problem, we develop a novel computational tool, LOCATOR (anaLysis Of CAncer Tissue micrOenviRonment), for spatial analysis of cancer tissue microenvironments using data acquired from mass cytometry imaging technologies. LOCATOR introduces a graph-based representation of tissue images to describe features of the cellular organization and deploys downstream analysis and visualization utilities that can be used for data-driven patient-risk stratification. Our case studies using mass cytometry imaging data from two well-annotated breast cancer cohorts re-confirmed that the spatial organization of the tumour-immune microenvironment is strongly associated with the clinical outcome in breast cancer. In addition, we report interesting potential associations between the spatial organization of macrophages and patients' survival. Our work introduces an automated and versatile analysis tool for mass cytometry imaging data with many applications in future cancer research projects. Availability and implementation Datasets and codes of LOCATOR are publicly available at https://github.com/RezvanEhsani/LOCATOR.
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Affiliation(s)
- Rezvan Ehsani
- Department of Informatics, Computational Biology Unit, University of Bergen, Bergen N-5020, Norway
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen N-5020, Norway
| | - Inge Jonassen
- Department of Informatics, Computational Biology Unit, University of Bergen, Bergen N-5020, Norway
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen N-5020, Norway
| | - Lars A Akslen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen N-5020, Norway
- Department of Pathology, Haukeland University Hospital, Bergen N-5020, Norway
| | - Dimitrios Kleftogiannis
- Department of Informatics, Computational Biology Unit, University of Bergen, Bergen N-5020, Norway
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen N-5020, Norway
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7
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Aanei CM, Devêvre E, Șerban A, Tavernier-Tardy E, Guyotat D, Campos Catafal L. High-Dimensional Mass Cytometry Analysis of Embryonic Antigens and Their Signaling Pathways in Myeloid Cells from Bone Marrow Aspirates in AML Patients at Diagnosis. Cancers (Basel) 2023; 15:4707. [PMID: 37835401 PMCID: PMC10571794 DOI: 10.3390/cancers15194707] [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: 07/24/2023] [Revised: 09/14/2023] [Accepted: 09/15/2023] [Indexed: 10/15/2023] Open
Abstract
BACKGROUND Embryonic antigens (EA) regulate pluripotency, self-renewal, and differentiation in embryonic stem (ES) cells during their development. In adult somatic cells, EA expression is normally inhibited; however, EAs can be re-expressed by cancer cells and are involved in the deregulation of different signaling pathways (SPs). In the context of AML, data concerning the expression of EAs are scarce and contradictory. METHODS We used mass cytometry to explore the expression of EAs and three SPs in myeloid cells from AML patients and normal bone marrow (NBM). Imaging flow cytometry was used for morphological assessment of cells in association with their OCT3/4 expression status (positive vs. negative). RESULTS An overall reduction in or absence of EA expression was observed in immature myeloid cells from AML patients compared to their normal counterparts. Stage-specific embryonic antigen-3 (SSEA-3) was consistently expressed at low levels in immature myeloid cells, whereas SSEA-1 was overexpressed in hematopoietic stem cells (HSCs) and myeloblasts from AML with monocytic differentiation (AML M4/M5). Therefore, these markers are valuable for distinguishing between normal and abnormal myeloid cells. These preliminary results show that the exploration of myeloid cell intracellular SPs in the setting of AML is very informative. Deregulation of three important leukemogenic SPs was also observed in myeloid cells from AML. CONCLUSIONS Exploring EAs and SPs in myeloid cells from AML patients by mass cytometry may help identify characteristic phenotypes and facilitate AML follow-up.
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Affiliation(s)
- Carmen-Mariana Aanei
- Laboratory of Hematology, University Hospital of Saint-Etienne, 42055 Saint-Etienne, France; (A.Ș.); (L.C.C.)
- Santé Ingénierie Biologie Saint-Etienne, INSERM SainBiose U1059, 42270 Saint-Priest-en-Jarez, France
| | - Estelle Devêvre
- Plateau de Cytométrie AniRA, SFR BioSciences (UAR3444-US8), 69367 Lyon, France;
| | - Adrian Șerban
- Laboratory of Hematology, University Hospital of Saint-Etienne, 42055 Saint-Etienne, France; (A.Ș.); (L.C.C.)
| | - Emmanuelle Tavernier-Tardy
- Department of Clinical Hematology, University Hospital of Saint-Etienne, 42100 Saint-Etienne, France; (E.T.-T.); (D.G.)
| | - Denis Guyotat
- Department of Clinical Hematology, University Hospital of Saint-Etienne, 42100 Saint-Etienne, France; (E.T.-T.); (D.G.)
| | - Lydia Campos Catafal
- Laboratory of Hematology, University Hospital of Saint-Etienne, 42055 Saint-Etienne, France; (A.Ș.); (L.C.C.)
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8
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Bartaula-Brevik S, Leitch C, Hernandez-Valladares M, Aasebø E, Berven FS, Selheim F, Brenner AK, Rye KP, Hagen M, Reikvam H, McCormack E, Bruserud Ø, Tvedt THA. Vacuolar ATPase Is a Possible Therapeutic Target in Acute Myeloid Leukemia: Focus on Patient Heterogeneity and Treatment Toxicity. J Clin Med 2023; 12:5546. [PMID: 37685612 PMCID: PMC10488188 DOI: 10.3390/jcm12175546] [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: 07/10/2023] [Revised: 08/20/2023] [Accepted: 08/23/2023] [Indexed: 09/10/2023] Open
Abstract
Vacuolar ATPase (V-ATPase) is regarded as a possible target in cancer treatment. It is expressed in primary acute myeloid leukemia cells (AML), but the expression varies between patients and is highest for patients with a favorable prognosis after intensive chemotherapy. We therefore investigated the functional effects of two V-ATPase inhibitors (bafilomycin A1, concanamycin A) for primary AML cells derived from 80 consecutive patients. The V-ATPase inhibitors showed dose-dependent antiproliferative and proapoptotic effects that varied considerably between patients. A proteomic comparison of primary AML cells showing weak versus strong antiproliferative effects of V-ATPase inhibition showed a differential expression of proteins involved in intracellular transport/cytoskeleton functions, and an equivalent phosphoproteomic comparison showed a differential expression of proteins that regulate RNA processing/function together with increased activity of casein kinase 2. Patients with secondary AML, i.e., a heterogeneous subset with generally adverse prognosis and previous cytotoxic therapy, myeloproliferative neoplasia or myelodysplastic syndrome, were characterized by a strong antiproliferative effect of V-ATPase inhibition and also by a specific mRNA expression profile of V-ATPase interactome proteins. Furthermore, the V-ATPase inhibition altered the constitutive extracellular release of several soluble mediators (e.g., chemokines, interleukins, proteases, protease inhibitors), and increased mediator levels in the presence of AML-supporting bone marrow mesenchymal stem cells was then observed, especially for patients with secondary AML. Finally, animal studies suggested that the V-ATPase inhibitor bafilomycin had limited toxicity, even when combined with cytarabine. To conclude, V-ATPase inhibition has antileukemic effects in AML, but this effect varies between patients.
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Affiliation(s)
- Sushma Bartaula-Brevik
- Acute Leukemia Research Group, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; (S.B.-B.); (M.H.-V.); (E.A.); (A.K.B.); (K.P.R.); (M.H.); (H.R.); (T.H.A.T.)
| | - Calum Leitch
- Department of Clinical Science, Centre for Pharmacy, University of Bergen, 5015 Bergen, Norway; (C.L.); (E.M.)
| | - Maria Hernandez-Valladares
- Acute Leukemia Research Group, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; (S.B.-B.); (M.H.-V.); (E.A.); (A.K.B.); (K.P.R.); (M.H.); (H.R.); (T.H.A.T.)
- The Proteomics Facility of the University of Bergen (PROBE), University of Bergen, 5009 Bergen, Norway; (F.S.B.); (F.S.)
- The Department of Biomedicine, University of Bergen, 5009 Bergen, Norway
- Department of Physical Chemistry, University of Granada, Avenida de la Fuente Nueva S/N, 18071 Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, 18012 Granada, Spain
| | - Elise Aasebø
- Acute Leukemia Research Group, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; (S.B.-B.); (M.H.-V.); (E.A.); (A.K.B.); (K.P.R.); (M.H.); (H.R.); (T.H.A.T.)
- The Proteomics Facility of the University of Bergen (PROBE), University of Bergen, 5009 Bergen, Norway; (F.S.B.); (F.S.)
- The Department of Biomedicine, University of Bergen, 5009 Bergen, Norway
| | - Frode S. Berven
- The Proteomics Facility of the University of Bergen (PROBE), University of Bergen, 5009 Bergen, Norway; (F.S.B.); (F.S.)
- The Department of Biomedicine, University of Bergen, 5009 Bergen, Norway
| | - Frode Selheim
- The Proteomics Facility of the University of Bergen (PROBE), University of Bergen, 5009 Bergen, Norway; (F.S.B.); (F.S.)
- The Department of Biomedicine, University of Bergen, 5009 Bergen, Norway
| | - Annette K. Brenner
- Acute Leukemia Research Group, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; (S.B.-B.); (M.H.-V.); (E.A.); (A.K.B.); (K.P.R.); (M.H.); (H.R.); (T.H.A.T.)
| | - Kristin Paulsen Rye
- Acute Leukemia Research Group, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; (S.B.-B.); (M.H.-V.); (E.A.); (A.K.B.); (K.P.R.); (M.H.); (H.R.); (T.H.A.T.)
| | - Marie Hagen
- Acute Leukemia Research Group, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; (S.B.-B.); (M.H.-V.); (E.A.); (A.K.B.); (K.P.R.); (M.H.); (H.R.); (T.H.A.T.)
| | - Håkon Reikvam
- Acute Leukemia Research Group, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; (S.B.-B.); (M.H.-V.); (E.A.); (A.K.B.); (K.P.R.); (M.H.); (H.R.); (T.H.A.T.)
- Section for Hematology, Department of Medicine, Haukeland University Hospital, 5021 Bergen, Norway
| | - Emmet McCormack
- Department of Clinical Science, Centre for Pharmacy, University of Bergen, 5015 Bergen, Norway; (C.L.); (E.M.)
| | - Øystein Bruserud
- Acute Leukemia Research Group, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; (S.B.-B.); (M.H.-V.); (E.A.); (A.K.B.); (K.P.R.); (M.H.); (H.R.); (T.H.A.T.)
- Section for Hematology, Department of Medicine, Haukeland University Hospital, 5021 Bergen, Norway
| | - Tor Henrik Anderson Tvedt
- Acute Leukemia Research Group, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; (S.B.-B.); (M.H.-V.); (E.A.); (A.K.B.); (K.P.R.); (M.H.); (H.R.); (T.H.A.T.)
- Section for Hematology, Department of Medicine, Haukeland University Hospital, 5021 Bergen, Norway
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Bruserud Ø, Reikvam H. Casein Kinase 2 (CK2): A Possible Therapeutic Target in Acute Myeloid Leukemia. Cancers (Basel) 2023; 15:3711. [PMID: 37509370 PMCID: PMC10378128 DOI: 10.3390/cancers15143711] [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: 06/24/2023] [Revised: 07/14/2023] [Accepted: 07/20/2023] [Indexed: 07/30/2023] Open
Abstract
The protein kinase CK2 (also known as casein kinase 2) is one of the main contributors to the human phosphoproteome. It is regarded as a possible therapeutic strategy in several malignant diseases, including acute myeloid leukemia (AML), which is an aggressive bone marrow malignancy. CK2 is an important regulator of intracellular signaling in AML cells, especially PI3K-Akt, Jak-Stat, NFκB, Wnt, and DNA repair signaling. High CK2 levels in AML cells at the first time of diagnosis are associated with decreased survival (i.e., increased risk of chemoresistant leukemia relapse) for patients receiving intensive and potentially curative antileukemic therapy. However, it is not known whether these high CK2 levels can be used as an independent prognostic biomarker because this has not been investigated in multivariate analyses. Several CK2 inhibitors have been developed, but CX-4945/silmitasertib is best characterized. This drug has antiproliferative and proapoptotic effects in primary human AML cells. The preliminary results from studies of silmitasertib in the treatment of other malignancies suggest that gastrointestinal and bone marrow toxicities are relatively common. However, clinical AML studies are not available. Taken together, the available experimental and clinical evidence suggests that the possible use of CK2 inhibition in the treatment of AML should be further investigated.
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Affiliation(s)
- Øystein Bruserud
- Institute for Clinical Science, Faculty of Medicine, University of Bergen, 5021 Bergen, Norway
- Section for Hematology, Department of Medicine, Haukeland University Hospital, 5021 Bergen, Norway
| | - Håkon Reikvam
- Institute for Clinical Science, Faculty of Medicine, University of Bergen, 5021 Bergen, Norway
- Section for Hematology, Department of Medicine, Haukeland University Hospital, 5021 Bergen, Norway
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Li SQ, Chen M, Huang XY, Wang H, Chang YJ. Challenges facing minimal residual disease testing for acute myeloid leukemia and promising strategies to overcome them. Expert Rev Hematol 2023; 16:981-990. [PMID: 37978882 DOI: 10.1080/17474086.2023.2285985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 11/16/2023] [Indexed: 11/19/2023]
Abstract
INTRODUCTION Minimal residual disease (MRD) has been an important biomarker for relapse prediction and treatment choice in patients with acute myeloid leukemia (AML). False-positive or false-negative MRD results due to the low specificity and sensitivity of techniques such as multiparameter flow cytometry (MFC), real-time quantitative polymerase chain reaction, and next-generation sequencing, as well as the biological characteristics of residual leukemia cells, including antigen shift, clone involution, heterogeneous genome of the blast cells, and lack of specific targets, all restrict the clinical use of MRD. AREAS COVERED We summarized the challenges of the techniques for MRD detection, and their application in the clinical setting. We also discussed strategies to overcome these challenges, such as the MFC MRD method based on leukemia stem cells, single-cell DNA sequencing or single-cell RNA sequencing for the investigation of biological characteristics of residual leukemia cells, and the potential of omics techniques for MRD detection. We further noted out that prospective clinical trials are needed to answer clinical questions related to MRD in patients with AML. EXPERT OPINION MRD is an important biomarker for individual therapy of patients with AML. In the future, it is important to increase the specificity and sensitivity of the detection techniques.
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Affiliation(s)
- Si-Qi Li
- National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital & Peking University Institute of Hematology, Beijing, Xicheng District, P.R.C
| | - Man Chen
- Department of Laboratory Medicine, Hebei Yanda Ludaopei Hospital, Langfang, Hebei, P.R.C
| | - Xi-Yi Huang
- Department of Experimental Medicine, School of Public Health, Xiamen University, Xiamen, P.R.C
| | - Hui Wang
- Department of Laboratory Medicine, Hebei Yanda Ludaopei Hospital, Langfang, Hebei, P.R.C
| | - Ying-Jun Chang
- National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital & Peking University Institute of Hematology, Beijing, Xicheng District, P.R.C
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Chin L, Wong CYG, Gill H. Targeting and Monitoring Acute Myeloid Leukaemia with Nucleophosmin-1 ( NPM1) Mutation. Int J Mol Sci 2023; 24:ijms24043161. [PMID: 36834572 PMCID: PMC9958584 DOI: 10.3390/ijms24043161] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 02/01/2023] [Accepted: 02/02/2023] [Indexed: 02/08/2023] Open
Abstract
Mutations in NPM1, also known as nucleophosmin-1, B23, NO38, or numatrin, are seen in approximately one-third of patients with acute myeloid leukaemia (AML). A plethora of treatment strategies have been studied to determine the best possible approach to curing NPM1-mutated AML. Here, we introduce the structure and function of NPM1 and describe the application of minimal residual disease (MRD) monitoring using molecular methods by means of quantitative polymerase chain reaction (qPCR), droplet digital PCR (ddPCR), next-generation sequencing (NGS), and cytometry by time of flight (CyTOF) to target NPM1-mutated AML. Current drugs, now regarded as the standard of care for AML, as well as potential drugs still under development, will also be explored. This review will focus on the role of targeting aberrant NPM1 pathways such as BCL-2 and SYK; as well as epigenetic regulators (RNA polymerase), DNA intercalators (topoisomerase II), menin inhibitors, and hypomethylating agents. Aside from medication, the effects of stress on AML presentation have been reported, and some possible mechanisms outlined. Moreover, targeted strategies will be briefly discussed, not only for the prevention of abnormal trafficking and localisation of cytoplasmic NPM1 but also for the elimination of mutant NPM1 proteins. Lastly, the advancement of immunotherapy such as targeting CD33, CD123, and PD-1 will be mentioned.
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