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Winter S, Götze KS, Hecker JS, Metzeler KH, Guezguez B, Woods K, Medyouf H, Schäffer A, Schmitz M, Wehner R, Glauche I, Roeder I, Rauner M, Hofbauer LC, Platzbecker U. Clonal hematopoiesis and its impact on the aging osteo-hematopoietic niche. Leukemia 2024; 38:936-946. [PMID: 38514772 PMCID: PMC11073997 DOI: 10.1038/s41375-024-02226-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 03/06/2024] [Accepted: 03/08/2024] [Indexed: 03/23/2024]
Abstract
Clonal hematopoiesis (CH) defines a premalignant state predominantly found in older persons that increases the risk of developing hematologic malignancies and age-related inflammatory diseases. However, the risk for malignant transformation or non-malignant disorders is variable and difficult to predict, and defining the clinical relevance of specific candidate driver mutations in individual carriers has proved to be challenging. In addition to the cell-intrinsic mechanisms, mutant cells rely on and alter cell-extrinsic factors from the bone marrow (BM) niche, which complicates the prediction of a mutant cell's fate in a shifting pre-malignant microenvironment. Therefore, identifying the insidious and potentially broad impact of driver mutations on supportive niches and immune function in CH aims to understand the subtle differences that enable driver mutations to yield different clinical outcomes. Here, we review the changes in the aging BM niche and the emerging evidence supporting the concept that CH can progressively alter components of the local BM microenvironment. These alterations may have profound implications for the functionality of the osteo-hematopoietic niche and overall bone health, consequently fostering a conducive environment for the continued development and progression of CH. We also provide an overview of the latest technology developments to study the spatiotemporal dependencies in the CH BM niche, ideally in the context of longitudinal studies following CH over time. Finally, we discuss aspects of CH carrier management in clinical practice, based on work from our group and others.
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Affiliation(s)
- Susann Winter
- Department of Internal Medicine I, University Hospital Carl Gustav Carus, Faculty of Medicine Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Katharina S Götze
- German Cancer Consortium (DKTK), CHOICE Consortium, Partner Sites Dresden/Munich/Frankfurt/Mainz, and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Medicine III, Technical University of Munich (TUM), School of Medicine and Health, Munich, Germany
- German MDS Study Group (D-MDS), Leipzig, Germany
| | - Judith S Hecker
- German Cancer Consortium (DKTK), CHOICE Consortium, Partner Sites Dresden/Munich/Frankfurt/Mainz, and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Medicine III, Technical University of Munich (TUM), School of Medicine and Health, Munich, Germany
- TranslaTUM, Center for Translational Cancer Research, Technical University of Munich (TUM), Munich, Germany
| | - Klaus H Metzeler
- German Cancer Consortium (DKTK), CHOICE Consortium, Partner Sites Dresden/Munich/Frankfurt/Mainz, and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Hematology, Cellular Therapy, Hemostaseology and Infectious Disease, University of Leipzig Medical Center, Leipzig, Germany
| | - Borhane Guezguez
- German Cancer Consortium (DKTK), CHOICE Consortium, Partner Sites Dresden/Munich/Frankfurt/Mainz, and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Hematology and Oncology, University Medical Center Mainz, Mainz, Germany
| | - Kevin Woods
- German Cancer Consortium (DKTK), CHOICE Consortium, Partner Sites Dresden/Munich/Frankfurt/Mainz, and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Hematology and Oncology, University Medical Center Mainz, Mainz, Germany
| | - Hind Medyouf
- German Cancer Consortium (DKTK), CHOICE Consortium, Partner Sites Dresden/Munich/Frankfurt/Mainz, and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Institute for Tumor Biology and Experimental Therapy, Georg-Speyer-Haus, Frankfurt am Main, Germany
- Frankfurt Cancer Institute, Frankfurt am Main, Germany
| | - Alexander Schäffer
- Institute for Tumor Biology and Experimental Therapy, Georg-Speyer-Haus, Frankfurt am Main, Germany
| | - Marc Schmitz
- German Cancer Consortium (DKTK), CHOICE Consortium, Partner Sites Dresden/Munich/Frankfurt/Mainz, and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Institute of Immunology, Faculty of Medicine Carl Gustav Carus, TU Dresden, Dresden, Germany
- National Center for Tumor Diseases (NCT), Dresden, Germany: German Cancer Research Center (DKFZ), Heidelberg, Germany; Faculty of Medicine and University Hospital Carl Gustav Carus, TU Dresden, Dresden, Germany; Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany
| | - Rebekka Wehner
- German Cancer Consortium (DKTK), CHOICE Consortium, Partner Sites Dresden/Munich/Frankfurt/Mainz, and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Institute of Immunology, Faculty of Medicine Carl Gustav Carus, TU Dresden, Dresden, Germany
- National Center for Tumor Diseases (NCT), Dresden, Germany: German Cancer Research Center (DKFZ), Heidelberg, Germany; Faculty of Medicine and University Hospital Carl Gustav Carus, TU Dresden, Dresden, Germany; Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany
| | - Ingmar Glauche
- Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Ingo Roeder
- German Cancer Consortium (DKTK), CHOICE Consortium, Partner Sites Dresden/Munich/Frankfurt/Mainz, and German Cancer Research Center (DKFZ), Heidelberg, Germany
- National Center for Tumor Diseases (NCT), Dresden, Germany: German Cancer Research Center (DKFZ), Heidelberg, Germany; Faculty of Medicine and University Hospital Carl Gustav Carus, TU Dresden, Dresden, Germany; Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany
- Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Martina Rauner
- Division of Endocrinology, Diabetes and Bone Diseases, Department of Medicine III, and Center for Healthy Aging, University Medical Center, TU Dresden, Dresden, Germany
| | - Lorenz C Hofbauer
- German Cancer Consortium (DKTK), CHOICE Consortium, Partner Sites Dresden/Munich/Frankfurt/Mainz, and German Cancer Research Center (DKFZ), Heidelberg, Germany.
- Division of Endocrinology, Diabetes and Bone Diseases, Department of Medicine III, and Center for Healthy Aging, University Medical Center, TU Dresden, Dresden, Germany.
| | - Uwe Platzbecker
- German Cancer Consortium (DKTK), CHOICE Consortium, Partner Sites Dresden/Munich/Frankfurt/Mainz, and German Cancer Research Center (DKFZ), Heidelberg, Germany.
- German MDS Study Group (D-MDS), Leipzig, Germany.
- Department of Hematology, Cellular Therapy, Hemostaseology and Infectious Disease, University of Leipzig Medical Center, Leipzig, Germany.
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Campillo-Marcos I, Casado-Pelaez M, Davalos V, Ferrer G, Mata C, Mereu E, Roué G, Valcárcel D, Molero A, Zamora L, Xicoy B, Palomo L, Acha P, Manzanares A, Tobiasson M, Hellström-Lindberg E, Solé F, Esteller M. Single-cell Multiomics Analysis of Myelodysplastic Syndromes and Clinical Response to Hypomethylating Therapy. CANCER RESEARCH COMMUNICATIONS 2024; 4:365-377. [PMID: 38300528 PMCID: PMC10860538 DOI: 10.1158/2767-9764.crc-23-0389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 12/18/2023] [Accepted: 01/26/2024] [Indexed: 02/02/2024]
Abstract
Alterations in epigenetic marks, such as DNA methylation, represent a hallmark of cancer that has been successfully exploited for therapy in myeloid malignancies. Hypomethylating agents (HMA), such as azacitidine, have become standard-of-care therapy to treat myelodysplastic syndromes (MDS), myeloid neoplasms that can evolve into acute myeloid leukemia. However, our capacity to identify who will respond to HMAs, and the duration of response, remains limited. To shed light on this question, we have leveraged the unprecedented analytic power of single-cell technologies to simultaneously map the genome and immunoproteome of MDS samples throughout clinical evolution. We were able to chart the architecture and evolution of molecular clones in precious paired bone marrow MDS samples at diagnosis and posttreatment to show that a combined imbalance of specific cell lineages with diverse mutational profiles is associated with the clinical response of patients with MDS to hypomethylating therapy. SIGNIFICANCE MDS are myeloid clonal hemopathies with a low 5-year survival rate, and approximately half of the cases do not respond to standard HMA therapy. Our innovative single-cell multiomics approach offers valuable biological insights and potential biomarkers associated with the demethylating agent efficacy. It also identifies vulnerabilities that can be targeted using personalized combinations of small drugs and antibodies.
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Affiliation(s)
- Ignacio Campillo-Marcos
- Cancer Epigenetics Group, Josep Carreras Leukaemia Research Institute (IJC), Barcelona, Catalonia, Spain
- Centro de Investigacion Biomedica en Red Cancer (CIBERONC), Madrid, Spain
| | - Marta Casado-Pelaez
- Cancer Epigenetics Group, Josep Carreras Leukaemia Research Institute (IJC), Barcelona, Catalonia, Spain
| | - Veronica Davalos
- Cancer Epigenetics Group, Josep Carreras Leukaemia Research Institute (IJC), Barcelona, Catalonia, Spain
| | - Gerardo Ferrer
- Cancer Epigenetics Group, Josep Carreras Leukaemia Research Institute (IJC), Barcelona, Catalonia, Spain
- Centro de Investigacion Biomedica en Red Cancer (CIBERONC), Madrid, Spain
| | - Caterina Mata
- Single Cell Unit, Josep Carreras Leukaemia Research Institute (IJC), Badalona, Barcelona, Catalonia, Spain
| | - Elisabetta Mereu
- Cellular Systems Genomics Group, Josep Carreras Leukaemia Research Institute (IJC), Badalona, Barcelona, Catalonia, Spain
| | - Gael Roué
- Lymphoma Translational Group, Josep Carreras Leukaemia Research Institute (IJC), Barcelona, Catalonia, Spain
| | - David Valcárcel
- Department of Hematology, Experimental Hematology Group, Vall d'Hebron Institute of Oncology (VHIO), University Hospital Vall d'Hebron, Barcelona, Catalonia, Spain
| | - Antonieta Molero
- Department of Hematology, Experimental Hematology Group, Vall d'Hebron Institute of Oncology (VHIO), University Hospital Vall d'Hebron, Barcelona, Catalonia, Spain
| | - Lurdes Zamora
- Department of Hematology, ICO-IJC-Hospital Germans Trias i Pujol, UAB, Badalona, Spain
- Myelodysplastic Syndromes Research Group, Josep Carreras Leukaemia Research Institute (IJC), Barcelona, Catalonia, Spain
| | - Blanca Xicoy
- Department of Hematology, ICO-IJC-Hospital Germans Trias i Pujol, UAB, Badalona, Spain
- Myelodysplastic Syndromes Research Group, Josep Carreras Leukaemia Research Institute (IJC), Barcelona, Catalonia, Spain
| | - Laura Palomo
- Department of Hematology, Experimental Hematology Group, Vall d'Hebron Institute of Oncology (VHIO), University Hospital Vall d'Hebron, Barcelona, Catalonia, Spain
- Myelodysplastic Syndromes Research Group, Josep Carreras Leukaemia Research Institute (IJC), Barcelona, Catalonia, Spain
| | - Pamela Acha
- Myelodysplastic Syndromes Research Group, Josep Carreras Leukaemia Research Institute (IJC), Barcelona, Catalonia, Spain
| | - Ana Manzanares
- Myelodysplastic Syndromes Research Group, Josep Carreras Leukaemia Research Institute (IJC), Barcelona, Catalonia, Spain
| | - Magnus Tobiasson
- Department of Medicine, Center for Hematology and Regenerative Medicine, Karolinska Institutet, Stockholm, Sweden; Medical Unit Hematology, Karolinska University Hospital, Stockholm, Sweden
| | - Eva Hellström-Lindberg
- Department of Medicine, Center for Hematology and Regenerative Medicine, Karolinska Institutet, Stockholm, Sweden; Medical Unit Hematology, Karolinska University Hospital, Stockholm, Sweden
| | - Francesc Solé
- Myelodysplastic Syndromes Research Group, Josep Carreras Leukaemia Research Institute (IJC), Barcelona, Catalonia, Spain
| | - Manel Esteller
- Cancer Epigenetics Group, Josep Carreras Leukaemia Research Institute (IJC), Barcelona, Catalonia, Spain
- Centro de Investigacion Biomedica en Red Cancer (CIBERONC), Madrid, Spain
- Institucio Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Catalonia, Spain
- Physiological Sciences Department, School of Medicine and Health Sciences, University of Barcelona (UB), Barcelona, Catalonia, Spain
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3
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Heuts BMH, Martens JHA. Understanding blood development and leukemia using sequencing-based technologies and human cell systems. Front Mol Biosci 2023; 10:1266697. [PMID: 37886034 PMCID: PMC10598665 DOI: 10.3389/fmolb.2023.1266697] [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: 07/25/2023] [Accepted: 09/06/2023] [Indexed: 10/28/2023] Open
Abstract
Our current understanding of human hematopoiesis has undergone significant transformation throughout the years, challenging conventional views. The evolution of high-throughput technologies has enabled the accumulation of diverse data types, offering new avenues for investigating key regulatory processes in blood cell production and disease. In this review, we will explore the opportunities presented by these advancements for unraveling the molecular mechanisms underlying normal and abnormal hematopoiesis. Specifically, we will focus on the importance of enhancer-associated regulatory networks and highlight the crucial role of enhancer-derived transcription regulation. Additionally, we will discuss the unprecedented power of single-cell methods and the progression in using in vitro human blood differentiation system, in particular induced pluripotent stem cell models, in dissecting hematopoietic processes. Furthermore, we will explore the potential of ever more nuanced patient profiling to allow precision medicine approaches. Ultimately, we advocate for a multiparameter, regulatory network-based approach for providing a more holistic understanding of normal hematopoiesis and blood disorders.
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Affiliation(s)
- Branco M H Heuts
- Department of Molecular Biology, Faculty of Science, Radboud University, Nijmegen, Netherlands
| | - Joost H A Martens
- Department of Molecular Biology, Faculty of Science, Radboud University, Nijmegen, Netherlands
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4
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Iacobucci I, Witkowski MT, Mullighan CG. Single-cell analysis of acute lymphoblastic and lineage-ambiguous leukemia: approaches and molecular insights. Blood 2023; 141:356-368. [PMID: 35926109 PMCID: PMC10023733 DOI: 10.1182/blood.2022016954] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 07/13/2022] [Accepted: 07/23/2022] [Indexed: 01/31/2023] Open
Abstract
Despite recent progress in identifying the genetic drivers of acute lymphoblastic leukemia (ALL), prognosis remains poor for those individuals who experience disease recurrence. Moreover, acute leukemias of ambiguous lineage lack a biologically informed framework to guide classification and therapy. These needs have driven the adoption of multiple complementary single-cell sequencing approaches to explore key issues in the biology of these leukemias, including cell of origin, developmental hierarchy and ontogeny, and the molecular heterogeneity driving pathogenesis, progression, and therapeutic responsiveness. There are multiple single-cell techniques for profiling a specific modality, including RNA, DNA, chromatin accessibility and methylation; and an expanding range of approaches for simultaneous analysis of multiple modalities. Single-cell sequencing approaches have also enabled characterization of cell-intrinsic and -extrinsic features of ALL biology. In this review we describe these approaches and highlight the extensive heterogeneity that underpins ALL gene expression, cellular differentiation, and clonal architecture throughout disease pathogenesis and treatment resistance. In addition, we discuss the importance of the dynamic interactions that occur between leukemia cells and the nonleukemia microenvironment. We discuss potential opportunities and limitations of single-cell sequencing for the study of ALL biology and treatment responsiveness.
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Affiliation(s)
- Ilaria Iacobucci
- Department of Pathology, St Jude Children’s Research Hospital, Memphis, TN
| | - Matthew T. Witkowski
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Charles G. Mullighan
- Department of Pathology, St Jude Children’s Research Hospital, Memphis, TN
- Hematological Malignancies Program, St Jude Children’s Research Hospital, Memphis, TN
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5
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Flobak Å, Skånland SS, Hovig E, Taskén K, Russnes HG. Functional precision cancer medicine: drug sensitivity screening enabled by cell culture models. Trends Pharmacol Sci 2022; 43:973-985. [PMID: 36163057 DOI: 10.1016/j.tips.2022.08.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 08/20/2022] [Accepted: 08/22/2022] [Indexed: 10/31/2022]
Abstract
Functional precision medicine is a new, emerging area that can guide cancer treatment by capturing information from direct perturbations of tumor-derived, living cells, such as by drug sensitivity screening. Precision cancer medicine as currently implemented in clinical practice has been driven by genomics, and current molecular tumor boards rely extensively on genomic characterization to advise on therapeutic interventions. However, genomic biomarkers can only guide treatment decisions for a fraction of the patients. In this review we provide an overview of the current state of functional precision medicine, highlight advances for drug-sensitivity screening enabled by cell culture models, and discuss how artificial intelligence (AI) can be coupled to functional precision medicine to guide patient stratification.
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Affiliation(s)
- Åsmund Flobak
- The Cancer Clinic, St. Olav University Hospital, Trondheim, Norway; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Sigrid S Skånland
- Department of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway; K.G. Jebsen Centre for B Cell Malignancies, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Eivind Hovig
- Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway; Department of Informatics, Centre for Bioinformatics, University of Oslo, Oslo, Norway
| | - Kjetil Taskén
- Department of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway; K.G. Jebsen Centre for B Cell Malignancies, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
| | - Hege G Russnes
- Department of Pathology, Oslo University Hospital, Oslo, Norway; Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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6
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Zuo F, Yu J, He X. Single-Cell Metabolomics in Hematopoiesis and Hematological Malignancies. Front Oncol 2022; 12:931393. [PMID: 35912231 PMCID: PMC9326066 DOI: 10.3389/fonc.2022.931393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 06/07/2022] [Indexed: 11/13/2022] Open
Abstract
Aberrant metabolism contributes to tumor initiation, progression, metastasis, and drug resistance. Metabolic dysregulation has emerged as a hallmark of several hematologic malignancies. Decoding the molecular mechanism underlying metabolic rewiring in hematological malignancies would provide promising avenues for novel therapeutic interventions. Single-cell metabolic analysis can directly offer a meaningful readout of the cellular phenotype, allowing us to comprehensively dissect cellular states and access biological information unobtainable from bulk analysis. In this review, we first highlight the unique metabolic properties of hematologic malignancies and underscore potential metabolic vulnerabilities. We then emphasize the emerging single-cell metabolomics techniques, aiming to provide a guide to interrogating metabolism at single-cell resolution. Furthermore, we summarize recent studies demonstrating the power of single-cell metabolomics to uncover the roles of metabolic rewiring in tumor biology, cellular heterogeneity, immunometabolism, and therapeutic resistance. Meanwhile, we describe a practical view of the potential applications of single-cell metabolomics in hematopoiesis and hematological malignancies. Finally, we present the challenges and perspectives of single-cell metabolomics development.
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7
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Casado-Pelaez M, Bueno-Costa A, Esteller M. Single cell cancer epigenetics. Trends Cancer 2022; 8:820-838. [PMID: 35821003 DOI: 10.1016/j.trecan.2022.06.005] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 05/02/2022] [Accepted: 06/08/2022] [Indexed: 10/17/2022]
Abstract
Bulk sequencing methodologies have allowed us to make great progress in cancer research. Unfortunately, these techniques lack the resolution to fully unravel the epigenetic mechanisms that govern tumor heterogeneity. Consequently, many novel single cell-sequencing methodologies have been developed over the past decade, allowing us to explore the epigenetic components that regulate different aspects of cancer heterogeneity, namely: clonal heterogeneity, tumor microenvironment (TME), spatial organization, intratumoral differentiation programs, metastasis, and resistance mechanisms. In this review, we explore the different sequencing techniques that enable researchers to study different aspects of epigenetics (DNA methylation, chromatin accessibility, histone modifications, DNA-protein interactions, and chromatin 3D architecture) at the single cell level, their potential applications in cancer, and their current technical limitations.
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Affiliation(s)
- Marta Casado-Pelaez
- Josep Carreras Leukaemia Research Institute (IJC), Badalona, Barcelona, Catalonia, Spain
| | - Alberto Bueno-Costa
- Josep Carreras Leukaemia Research Institute (IJC), Badalona, Barcelona, Catalonia, Spain
| | - Manel Esteller
- Josep Carreras Leukaemia Research Institute (IJC), Badalona, Barcelona, Catalonia, Spain; Centro de Investigacion Biomedica en Red Cancer (CIBERONC), 28029 Madrid, Spain; Institucio Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Catalonia, Spain; Physiological Sciences Department, School of Medicine and Health Sciences, University of Barcelona (UB), Barcelona, Catalonia, Spain.
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8
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Ferrer G, Álvarez-Errico D, Esteller M. Biological and Molecular Factors Predicting Response to Adoptive Cell Therapies in Cancer. J Natl Cancer Inst 2022; 114:930-939. [PMID: 35438170 PMCID: PMC9275759 DOI: 10.1093/jnci/djac088] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 02/08/2022] [Accepted: 04/12/2022] [Indexed: 11/23/2022] Open
Abstract
Adoptive cell therapy (ACT) constitutes a major breakthrough in cancer management that has expanded in the past years due to impressive results showing durable and even curative responses for some patients with hematological malignancies. ACT leverages antigen specificity and cytotoxic mechanisms of the immune system, particularly relying on the patient’s T lymphocytes to target and eliminate malignant cells. This personalized therapeutic approach exemplifies the success of the joint effort of basic, translational, and clinical researchers that has turned the patient’s immune system into a great ally in the search for a cancer cure. ACTs are constantly improving to reach a maximum beneficial clinical response. Despite being very promising therapeutic options for certain types of cancers, mainly melanoma and hematological malignancies, these individualized treatments still present several shortcomings, including elevated costs, technical challenges, management of adverse side effects, and a limited population of responder patients. Thus, it is crucial to discover and develop reliable and robust biomarkers to specifically and sensitively pinpoint the patients that will benefit the most from ACT as well as those at higher risk of developing potentially serious toxicities. Although unique readouts of infused cell therapy success have not yet been identified, certain characteristics from the adoptive cells, the tumor, and/or the tumor microenvironment have been recognized to predict patients’ outcome on ACT. Here, we comment on the importance of biomarkers to predict ACT chances of success to maximize efficacy of treatments and increase patients’ survival.
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Affiliation(s)
- Gerardo Ferrer
- Josep Carreras Leukaemia Research Institute (IJC), Badalona, Catalonia, Spain.,Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA.,Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Madrid, Madrid, Spain
| | | | - Manel Esteller
- Josep Carreras Leukaemia Research Institute (IJC), Badalona, Catalonia, Spain.,Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Madrid, Madrid, Spain.,Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Catalonia, Spain.,Physiological Sciences Department, School of Medicine and Health Sciences, University of Barcelona (UB), Barcelona, Catalonia, Spain
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9
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Capturing the third dimension in drug discovery: Spatially-resolved tools for interrogation of complex 3D cell models. Biotechnol Adv 2021; 55:107883. [PMID: 34875362 DOI: 10.1016/j.biotechadv.2021.107883] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 11/22/2021] [Accepted: 11/30/2021] [Indexed: 02/07/2023]
Abstract
Advanced three-dimensional (3D) cell models have proven to be capable of depicting architectural and microenvironmental features of several tissues. By providing data of higher physiological and pathophysiological relevance, 3D cell models have been contributing to a better understanding of human development, pathology onset and progression mechanisms, as well as for 3D cell-based assays for drug discovery. Nonetheless, the characterization and interrogation of these tissue-like structures pose major challenges on the conventional analytical methods, pushing the development of spatially-resolved technologies. Herein, we review recent advances and pioneering technologies suitable for the interrogation of multicellular 3D models, while capable of retaining biological spatial information. We focused on imaging technologies and omics tools, namely transcriptomics, proteomics and metabolomics. The advantages and shortcomings of these novel methodologies are discussed, alongside the opportunities to intertwine data from the different tools.
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10
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Kawashima Y, Nishikomori R, Ohara O. Multiomic technologies for analyses of inborn errors of immunity: from snapshot of the average cell to dynamic temporal picture at single-cell resolution. Inflamm Regen 2021; 41:19. [PMID: 34193319 PMCID: PMC8247241 DOI: 10.1186/s41232-021-00169-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 06/02/2021] [Indexed: 11/29/2022] Open
Abstract
Advances in DNA sequencing technology have significantly impacted human genetics; they have enabled the analysis of genetic causes of rare diseases, which are usually pathogenic variants in a single gene at the nucleotide sequence level. However, since the quantity of data regarding the relationship between genotype and phenotype is insufficient to diagnose some rare immune diseases definitively, genetic information alone cannot help obtain a mechanistic understanding of the disease etiology. For such cases, exploring the molecular phenotype using multiomic analyses could be the approach of choice. In this review, we first overview current technologies for multiomic analysis, particularly focusing on RNA and protein profiling of bulk cell ensembles. We then discuss the measurement modality and granularity issue because it is critical to design multiomic experiments properly. Next, we illustrate the importance of bioimaging by describing our experience with the analysis of an autoinflammatory disease, cryopyrin-associated periodic fever syndrome, which could be caused by low-frequency somatic mosaicism and cannot be well characterized only by multiomic snapshot analyses of an ensemble of many immune cells. We found it powerful to complement the multiomic data with bioimaging data that can provide us with indispensable time-specific dynamic information of every single cell in the "immune cell society." Because we now have many measurement tools in different modalities and granularity to tackle the etiology of rare hereditary immune diseases, we might gain a deeper understanding of the pathogenic mechanisms of these diseases by taking full advantage of these tools in an integrated manner.
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Affiliation(s)
- Yusuke Kawashima
- Department of Applied Genomics, Kazusa DNA Research Institute, Kisarazu, 292-0818, Japan
| | - Ryuta Nishikomori
- Department of Pediatrics and Child Health, Kurume University School of Medicine, Kurume, 830-0011, Japan
| | - Osamu Ohara
- Department of Applied Genomics, Kazusa DNA Research Institute, Kisarazu, 292-0818, Japan.
- Future Medicine Education and Research Organization, Chiba University, Chiba, 260-8670, Japan.
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