1
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Schiroli G, Kartha V, Duarte FM, Kristiansen TA, Mayerhofer C, Shrestha R, Earl A, Hu Y, Tay T, Rhee C, Buenrostro JD, Scadden DT. Cell of origin epigenetic priming determines susceptibility to Tet2 mutation. Nat Commun 2024; 15:4325. [PMID: 38773071 PMCID: PMC11109152 DOI: 10.1038/s41467-024-48508-6] [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: 06/17/2023] [Accepted: 04/30/2024] [Indexed: 05/23/2024] Open
Abstract
Hematopoietic stem cell (HSC) mutations can result in clonal hematopoiesis (CH) with heterogeneous clinical outcomes. Here, we investigate how the cell state preceding Tet2 mutation impacts the pre-malignant phenotype. Using an inducible system for clonal analysis of myeloid progenitors, we find that the epigenetic features of clones at similar differentiation status are highly heterogeneous and functionally respond differently to Tet2 mutation. Cell differentiation stage also influences Tet2 mutation response indicating that the cell of origin's epigenome modulates clone-specific behaviors in CH. Molecular features associated with higher risk outcomes include Sox4 that sensitizes cells to Tet2 inactivation, inducing dedifferentiation, altered metabolism and increasing the in vivo clonal output of mutant cells, as confirmed in primary GMP and HSC models. Our findings validate the hypothesis that epigenetic features can predispose specific clones for dominance, explaining why identical genetic mutations can result in different phenotypes.
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Affiliation(s)
- Giulia Schiroli
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA
| | - Vinay Kartha
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Fabiana M Duarte
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Trine A Kristiansen
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA
| | - Christina Mayerhofer
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA
| | - Rojesh Shrestha
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Andrew Earl
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Yan Hu
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Tristan Tay
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Catherine Rhee
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA
| | - Jason D Buenrostro
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA.
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA.
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
| | - David T Scadden
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA.
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA.
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA.
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2
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Han PC, Baker TG. Glial and glioneuronal tumors: Navigating the complexity of evolving concepts and new classification. J Neurol Sci 2024; 461:123058. [PMID: 38781807 DOI: 10.1016/j.jns.2024.123058] [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: 02/26/2024] [Revised: 04/25/2024] [Accepted: 05/18/2024] [Indexed: 05/25/2024]
Abstract
The World Health Organization (WHO) published the 5th edition classification of tumors of central nervous system in 2021, commonly abbreviated as WHO CNS5, which became the new standard for brain tumor diagnosis and therapy. This edition dramatically impacted tumor diagnostics. In short it introduced new tumors, changed the names of previously recognized tumors, and modified the working definition of previously known tumors. The new system appears complex due to the integration of morphological and multiple molecular criteria. The most radical changes occurred in the field of glial and glioneuronal tumors, which constitutes the lengthy first chapter of this new edition. Herein we present an illustrative outline of the evolving concepts of glial and glioneuronal tumors. We also attempt to explain the rationales behind this substantial change in tumor classification and the challenges to update and integrate it into clinical practice. We aim to present a concise and precise roadmap to aid navigation through the intricate conceptual framework of glial and glioneuronal tumors in the context of WHO CNS5.
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Affiliation(s)
- Peng Cheng Han
- Department of Pathology, Anatomy and Laboratory Medicine, Department of Neuroscience, West Virginia University, Morgantown, WV 26505, United States of America.
| | - Tiffany G Baker
- Department of Pathology and Laboratory Medicine, Medical University of South Carolina, Charleston, SC 29425, United States of America
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3
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Spitzer A, Gritsch S, Nomura M, Jucht A, Fortin J, Raviram R, Weisman HR, Gonzalez Castro LN, Druck N, Chanoch-Myers R, Lee JJY, Mylvaganam R, Lee Servis R, Fung JM, Lee CK, Nagashima H, Miller JJ, Arrillaga-Romany I, Louis DN, Wakimoto H, Pisano W, Wen PY, Mak TW, Sanson M, Touat M, Landau DA, Ligon KL, Cahill DP, Suvà ML, Tirosh I. Mutant IDH inhibitors induce lineage differentiation in IDH-mutant oligodendroglioma. Cancer Cell 2024; 42:904-914.e9. [PMID: 38579724 PMCID: PMC11096020 DOI: 10.1016/j.ccell.2024.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 01/05/2024] [Accepted: 03/13/2024] [Indexed: 04/07/2024]
Abstract
A subset of patients with IDH-mutant glioma respond to inhibitors of mutant IDH (IDHi), yet the molecular underpinnings of such responses are not understood. Here, we profiled by single-cell or single-nucleus RNA-sequencing three IDH-mutant oligodendrogliomas from patients who derived clinical benefit from IDHi. Importantly, the tissues were sampled on-drug, four weeks from treatment initiation. We further integrate our findings with analysis of single-cell and bulk transcriptomes from independent cohorts and experimental models. We find that IDHi treatment induces a robust differentiation toward the astrocytic lineage, accompanied by a depletion of stem-like cells and a reduction of cell proliferation. Furthermore, mutations in NOTCH1 are associated with decreased astrocytic differentiation and may limit the response to IDHi. Our study highlights the differentiating potential of IDHi on the cellular hierarchies that drive oligodendrogliomas and suggests a genetic modifier that may improve patient stratification.
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Affiliation(s)
- Avishay Spitzer
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 761001, Israel; Department of Oncology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel; Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Simon Gritsch
- Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - Masashi Nomura
- Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Alexander Jucht
- Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Jerome Fortin
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada; Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital, McGill University, Montreal, Canada
| | - Ramya Raviram
- New York Genome Center, New York, NY, USA; Weill Cornell Medicine, New York, NY, USA
| | - Hannah R Weisman
- Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - L Nicolas Gonzalez Castro
- Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Center for Neuro-Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA; Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - Nicholas Druck
- Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Rony Chanoch-Myers
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 761001, Israel
| | - John J Y Lee
- Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Ravindra Mylvaganam
- Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Rachel Lee Servis
- Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Jeremy Man Fung
- Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Christine K Lee
- Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Hiroaki Nagashima
- Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Julie J Miller
- Pappas Center for Neuro-Oncology, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Isabel Arrillaga-Romany
- Departments of Neurology and Radiation Oncology, Division of Hematology/Oncology, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA 02114, USA
| | - David N Louis
- Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Hiroaki Wakimoto
- Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Will Pisano
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
| | - Patrick Y Wen
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA
| | - Tak W Mak
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada; Centre for Oncology and Immunology, Hong Kong Science Park, Hong Kong SAR, China; Department of Pathology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Marc Sanson
- Sorbonne Université, Inserm, CNRS, UMR S 1127, Institut du Cerveau, ICM, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Service de Neurologie 2-Mazarin, Paris, France
| | - Mehdi Touat
- Sorbonne Université, Inserm, CNRS, UMR S 1127, Institut du Cerveau, ICM, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Service de Neurologie 2-Mazarin, Paris, France; Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - Dan A Landau
- New York Genome Center, New York, NY, USA; Weill Cornell Medicine, New York, NY, USA
| | - Keith L Ligon
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA; Department of Pathology, Dana-Farber Cancer Institute, Boston, MA, USA.
| | - Daniel P Cahill
- Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
| | - Mario L Suvà
- Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA.
| | - Itay Tirosh
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 761001, Israel.
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4
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Johnson AL, Lopez-Bertoni H. Cellular diversity through space and time: adding new dimensions to GBM therapeutic development. Front Genet 2024; 15:1356611. [PMID: 38774283 PMCID: PMC11106394 DOI: 10.3389/fgene.2024.1356611] [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: 12/15/2023] [Accepted: 04/15/2024] [Indexed: 05/24/2024] Open
Abstract
The current median survival for glioblastoma (GBM) patients is only about 16 months, with many patients succumbing to the disease in just a matter of months, making it the most common and aggressive primary brain cancer in adults. This poor outcome is, in part, due to the lack of new treatment options with only one FDA-approved treatment in the last decade. Advances in sequencing techniques and transcriptomic analyses have revealed a vast degree of heterogeneity in GBM, from inter-patient diversity to intra-tumoral cellular variability. These cutting-edge approaches are providing new molecular insights highlighting a critical role for the tumor microenvironment (TME) as a driver of cellular plasticity and phenotypic heterogeneity. With this expanded molecular toolbox, the influence of TME factors, including endogenous (e.g., oxygen and nutrient availability and interactions with non-malignant cells) and iatrogenically induced (e.g., post-therapeutic intervention) stimuli, on tumor cell states can be explored to a greater depth. There exists a critical need for interrogating the temporal and spatial aspects of patient tumors at a high, cell-level resolution to identify therapeutically targetable states, interactions and mechanisms. In this review, we discuss advancements in our understanding of spatiotemporal diversity in GBM with an emphasis on the influence of hypoxia and immune cell interactions on tumor cell heterogeneity. Additionally, we describe specific high-resolution spatially resolved methodologies and their potential to expand the impact of pre-clinical GBM studies. Finally, we highlight clinical attempts at targeting hypoxia- and immune-related mechanisms of malignancy and the potential therapeutic opportunities afforded by single-cell and spatial exploration of GBM patient specimens.
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Affiliation(s)
- Amanda L. Johnson
- Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD, United States
- Department of Neurology, Baltimore, MD, United States
| | - Hernando Lopez-Bertoni
- Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD, United States
- Department of Neurology, Baltimore, MD, United States
- Oncology, Baltimore, MD, United States
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University School of Medicine, Baltimore, MD, United States
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5
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Sloan AR, Silver DJ, Kint S, Gallo M, Lathia JD. Cancer stem cell hypothesis 2.0 in glioblastoma: Where are we now and where are we going? Neuro Oncol 2024; 26:785-795. [PMID: 38394444 PMCID: PMC11066900 DOI: 10.1093/neuonc/noae011] [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] [Indexed: 02/25/2024] Open
Abstract
Over the past 2 decades, the cancer stem cell (CSC) hypothesis has provided insight into many malignant tumors, including glioblastoma (GBM). Cancer stem cells have been identified in patient-derived tumors and in some mouse models, allowing for a deeper understanding of cellular and molecular mechanisms underlying GBM growth and therapeutic resistance. The CSC hypothesis has been the cornerstone of cellular heterogeneity, providing a conceptual and technical framework to explain this longstanding phenotype in GBM. This hypothesis has evolved to fit recent insights into how cellular plasticity drives tumor growth to suggest that CSCs do not represent a distinct population but rather a cellular state with substantial plasticity that can be achieved by non-CSCs under specific conditions. This has further been reinforced by advances in genomics, including single-cell approaches, that have used the CSC hypothesis to identify multiple putative CSC states with unique properties, including specific developmental and metabolic programs. In this review, we provide a historical perspective on the CSC hypothesis and its recent evolution, with a focus on key functional phenotypes, and provide an update on the definition for its use in future genomic studies.
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Affiliation(s)
- Anthony R Sloan
- Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA
- Case Comprehensive Cancer Center, Cleveland, Ohio, USA
| | - Daniel J Silver
- Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA
- Case Comprehensive Cancer Center, Cleveland, Ohio, USA
| | - Sam Kint
- Department of Biochemistry & Molecular Biology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Marco Gallo
- Department of Biochemistry & Molecular Biology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Department of Pediatrics, Section of Hematology and Oncology, Baylor College of Medicine, Houston, Texas, USA
- Texas Children’s Cancer Center, Texas Children’s Hospital, Houston, Texas, USA
| | - Justin D Lathia
- Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA
- Case Comprehensive Cancer Center, Cleveland, Ohio, USA
- Rose Ella Burkhardt Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio, USA
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6
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Rosano D, Sofyali E, Dhiman H, Ghirardi C, Ivanoiu D, Heide T, Vingiani A, Bertolotti A, Pruneri G, Canale E, Dewhurst HF, Saha D, Slaven N, Barozzi I, Li T, Zemlyanskiy G, Phillips H, James C, Győrffy B, Lynn C, Cresswell GD, Rehman F, Noberini R, Bonaldi T, Sottoriva A, Magnani L. Long-term Multimodal Recording Reveals Epigenetic Adaptation Routes in Dormant Breast Cancer Cells. Cancer Discov 2024; 14:866-889. [PMID: 38527495 PMCID: PMC11061610 DOI: 10.1158/2159-8290.cd-23-1161] [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: 10/05/2023] [Revised: 01/10/2024] [Accepted: 02/20/2024] [Indexed: 03/27/2024]
Abstract
Patients with estrogen receptor-positive breast cancer receive adjuvant endocrine therapies (ET) that delay relapse by targeting clinically undetectable micrometastatic deposits. Yet, up to 50% of patients relapse even decades after surgery through unknown mechanisms likely involving dormancy. To investigate genetic and transcriptional changes underlying tumor awakening, we analyzed late relapse patients and longitudinally profiled a rare cohort treated with long-term neoadjuvant ETs until progression. Next, we developed an in vitro evolutionary study to record the adaptive strategies of individual lineages in unperturbed parallel experiments. Our data demonstrate that ETs induce nongenetic cell state transitions into dormancy in a stochastic subset of cells via epigenetic reprogramming. Single lineages with divergent phenotypes awaken unpredictably in the absence of recurrent genetic alterations. Targeting the dormant epigenome shows promising activity against adapting cancer cells. Overall, this study uncovers the contribution of epigenetic adaptation to the evolution of resistance to ETs. SIGNIFICANCE This study advances the understanding of therapy-induced dormancy with potential clinical implications for breast cancer. Estrogen receptor-positive breast cancer cells adapt to endocrine treatment by entering a dormant state characterized by strong heterochromatinization with no recurrent genetic changes. Targeting the epigenetic rewiring impairs the adaptation of cancer cells to ETs. See related commentary by Llinas-Bertran et al., p. 704. This article is featured in Selected Articles from This Issue, p. 695.
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Affiliation(s)
- Dalia Rosano
- Department of Surgery and Cancer, Imperial College London, London, United Kingdom
- The Breast Cancer Now Toby Robins Research Center, The Institute of Cancer Research, London, United Kingdom
| | - Emre Sofyali
- Department of Surgery and Cancer, Imperial College London, London, United Kingdom
| | - Heena Dhiman
- Department of Surgery and Cancer, Imperial College London, London, United Kingdom
- The Breast Cancer Now Toby Robins Research Center, The Institute of Cancer Research, London, United Kingdom
| | - Chiara Ghirardi
- Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Diana Ivanoiu
- Department of Surgery and Cancer, Imperial College London, London, United Kingdom
| | - Timon Heide
- Human Technopole, Milan, Italy
- Centre for Evolution and Cancer, Institute of Cancer Research, London, United Kingdom
| | | | | | - Giancarlo Pruneri
- Istituto Nazionale Tumori, Milan, Italy
- Department of Oncology and Haematology-Oncology, University of Milano, Milano, Italy
| | - Eleonora Canale
- Department of Surgery and Cancer, Imperial College London, London, United Kingdom
| | - Hannah F. Dewhurst
- Department of Surgery and Cancer, Imperial College London, London, United Kingdom
| | - Debjani Saha
- Department of Surgery and Cancer, Imperial College London, London, United Kingdom
| | - Neil Slaven
- Department of Surgery and Cancer, Imperial College London, London, United Kingdom
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley
| | - Iros Barozzi
- Department of Surgery and Cancer, Imperial College London, London, United Kingdom
- Centre for Cancer Research, Medical University of Vienna, Austria
| | - Tong Li
- Department of Surgery and Cancer, Imperial College London, London, United Kingdom
| | - Grigory Zemlyanskiy
- Department of Surgery and Cancer, Imperial College London, London, United Kingdom
| | - Henry Phillips
- Department of Surgery and Cancer, Imperial College London, London, United Kingdom
| | - Chela James
- Human Technopole, Milan, Italy
- Centre for Evolution and Cancer, Institute of Cancer Research, London, United Kingdom
| | - Balázs Győrffy
- Department of Bioinformatics, Semmelweis University, Budapest, Hungary
- RCNS Cancer Biomarker Research Group, Budapest, Hungary
- Department of Biophysics, Medical School, University of Pecs, Pecs, Hungary
| | - Claire Lynn
- Centre for Evolution and Cancer, Institute of Cancer Research, London, United Kingdom
| | - George D. Cresswell
- Centre for Evolution and Cancer, Institute of Cancer Research, London, United Kingdom
| | - Farah Rehman
- Charing Cross Hospital, Imperial College NHS Trust, London, United Kingdom
| | - Roberta Noberini
- Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Tiziana Bonaldi
- Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy
- Department of Oncology and Haematology-Oncology, University of Milano, Milano, Italy
| | - Andrea Sottoriva
- Human Technopole, Milan, Italy
- Centre for Evolution and Cancer, Institute of Cancer Research, London, United Kingdom
| | - Luca Magnani
- Department of Surgery and Cancer, Imperial College London, London, United Kingdom
- The Breast Cancer Now Toby Robins Research Center, The Institute of Cancer Research, London, United Kingdom
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7
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Liu Y, Ali H, Khan F, Pang L, Chen P. Epigenetic regulation of tumor-immune symbiosis in glioma. Trends Mol Med 2024; 30:429-442. [PMID: 38453529 PMCID: PMC11081824 DOI: 10.1016/j.molmed.2024.02.004] [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: 11/28/2023] [Revised: 02/01/2024] [Accepted: 02/14/2024] [Indexed: 03/09/2024]
Abstract
Glioma is a type of aggressive and incurable brain tumor. Patients with glioma are highly resistant to all types of therapies, including immunotherapies. Epigenetic reprogramming is a key molecular hallmark in tumors across cancer types, including glioma. Mounting evidence highlights a pivotal role of epigenetic regulation in shaping tumor biology and therapeutic responses through mechanisms involving both glioma cells and immune cells, as well as their symbiotic interactions in the tumor microenvironment (TME). In this review, we discuss the molecular mechanisms of epigenetic regulation that impacts glioma cell biology and tumor immunity in both a cell-autonomous and non-cell-autonomous manner. Moreover, we provide an overview of potential therapeutic approaches that can disrupt epigenetic-regulated tumor-immune symbiosis in the glioma TME.
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Affiliation(s)
- Yang Liu
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Heba Ali
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Fatima Khan
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Lizhi Pang
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Peiwen Chen
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.
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8
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Pichol-Thievend C, Anezo O, Pettiwala AM, Bourmeau G, Montagne R, Lyne AM, Guichet PO, Deshors P, Ballestín A, Blanchard B, Reveilles J, Ravi VM, Joseph K, Heiland DH, Julien B, Leboucher S, Besse L, Legoix P, Dingli F, Liva S, Loew D, Giani E, Ribecco V, Furumaya C, Marcos-Kovandzic L, Masliantsev K, Daubon T, Wang L, Diaz AA, Schnell O, Beck J, Servant N, Karayan-Tapon L, Cavalli FMG, Seano G. VC-resist glioblastoma cell state: vessel co-option as a key driver of chemoradiation resistance. Nat Commun 2024; 15:3602. [PMID: 38684700 PMCID: PMC11058782 DOI: 10.1038/s41467-024-47985-z] [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: 11/10/2023] [Accepted: 04/17/2024] [Indexed: 05/02/2024] Open
Abstract
Glioblastoma (GBM) is a highly lethal type of cancer. GBM recurrence following chemoradiation is typically attributed to the regrowth of invasive and resistant cells. Therefore, there is a pressing need to gain a deeper understanding of the mechanisms underlying GBM resistance to chemoradiation and its ability to infiltrate. Using a combination of transcriptomic, proteomic, and phosphoproteomic analyses, longitudinal imaging, organotypic cultures, functional assays, animal studies, and clinical data analyses, we demonstrate that chemoradiation and brain vasculature induce cell transition to a functional state named VC-Resist (vessel co-opting and resistant cell state). This cell state is midway along the transcriptomic axis between proneural and mesenchymal GBM cells and is closer to the AC/MES1-like state. VC-Resist GBM cells are highly vessel co-opting, allowing significant infiltration into the surrounding brain tissue and homing to the perivascular niche, which in turn induces even more VC-Resist transition. The molecular and functional characteristics of this FGFR1-YAP1-dependent GBM cell state, including resistance to DNA damage, enrichment in the G2M phase, and induction of senescence/stemness pathways, contribute to its enhanced resistance to chemoradiation. These findings demonstrate how vessel co-option, perivascular niche, and GBM cell plasticity jointly drive resistance to therapy during GBM recurrence.
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Affiliation(s)
- Cathy Pichol-Thievend
- Institut Curie, INSERM U1021, CNRS UMR3347, Tumor Microenvironment Lab, Paris-Saclay University, 91400, Orsay, France
| | - Oceane Anezo
- Institut Curie, INSERM U1021, CNRS UMR3347, Tumor Microenvironment Lab, Paris-Saclay University, 91400, Orsay, France
| | - Aafrin M Pettiwala
- Institut Curie, INSERM U1021, CNRS UMR3347, Tumor Microenvironment Lab, Paris-Saclay University, 91400, Orsay, France
- Institut Curie, PSL University, 75005, Paris, France
| | - Guillaume Bourmeau
- Institut Curie, INSERM U1021, CNRS UMR3347, Tumor Microenvironment Lab, Paris-Saclay University, 91400, Orsay, France
| | - Remi Montagne
- Institut Curie, PSL University, 75005, Paris, France
- INSERM U900, 75005, Paris, France
- MINES ParisTeach, CBIO-Centre for Computational Biology, PSL Research University, 75006, Paris, France
| | - Anne-Marie Lyne
- Institut Curie, PSL University, 75005, Paris, France
- INSERM U900, 75005, Paris, France
- MINES ParisTeach, CBIO-Centre for Computational Biology, PSL Research University, 75006, Paris, France
| | - Pierre-Olivier Guichet
- Université de Poitiers, CHU Poitiers, ProDiCeT, F-86000, Poitiers, France
- CHU Poitiers, Laboratoire de Cancérologie Biologique, F-86000, Poitiers, France
| | - Pauline Deshors
- Institut Curie, INSERM U1021, CNRS UMR3347, Tumor Microenvironment Lab, Paris-Saclay University, 91400, Orsay, France
| | - Alberto Ballestín
- Institut Curie, INSERM U1021, CNRS UMR3347, Tumor Microenvironment Lab, Paris-Saclay University, 91400, Orsay, France
| | - Benjamin Blanchard
- Institut Curie, INSERM U1021, CNRS UMR3347, Tumor Microenvironment Lab, Paris-Saclay University, 91400, Orsay, France
| | - Juliette Reveilles
- Institut Curie, INSERM U1021, CNRS UMR3347, Tumor Microenvironment Lab, Paris-Saclay University, 91400, Orsay, France
| | - Vidhya M Ravi
- Department of Neurosurgery, Medical Center - University of Freiburg, Freiburg, Germany
| | - Kevin Joseph
- Department of Neurosurgery, Medical Center - University of Freiburg, Freiburg, Germany
| | - Dieter H Heiland
- Department of Neurosurgery, Medical Center - University of Freiburg, Freiburg, Germany
| | - Boris Julien
- Institut Curie, INSERM U1021, CNRS UMR3347, Tumor Microenvironment Lab, Paris-Saclay University, 91400, Orsay, France
| | | | - Laetitia Besse
- Institut Curie, PSL University, Université Paris-Saclay, CNRS UMS2016, INSERM US43, Multimodal Imaging Center, 91400, Orsay, France
| | - Patricia Legoix
- Institut Curie, PSL University, ICGex Next-Generation Sequencing Platform, 75005, Paris, France
| | - Florent Dingli
- Institut Curie, PSL University, CurieCoreTech Spectrométrie de Masse Protéomique, 75005, Paris, France
| | - Stephane Liva
- Institut Curie, PSL University, 75005, Paris, France
- INSERM U900, 75005, Paris, France
- MINES ParisTeach, CBIO-Centre for Computational Biology, PSL Research University, 75006, Paris, France
| | - Damarys Loew
- Institut Curie, PSL University, CurieCoreTech Spectrométrie de Masse Protéomique, 75005, Paris, France
| | - Elisa Giani
- Department of Biomedical Sciences, Humanitas University, 20072, Pieve Emanuele, Italy
| | - Valentino Ribecco
- Institut Curie, INSERM U1021, CNRS UMR3347, Tumor Microenvironment Lab, Paris-Saclay University, 91400, Orsay, France
| | - Charita Furumaya
- Institut Curie, INSERM U1021, CNRS UMR3347, Tumor Microenvironment Lab, Paris-Saclay University, 91400, Orsay, France
| | - Laura Marcos-Kovandzic
- Institut Curie, INSERM U1021, CNRS UMR3347, Tumor Microenvironment Lab, Paris-Saclay University, 91400, Orsay, France
| | - Konstantin Masliantsev
- Université de Poitiers, CHU Poitiers, ProDiCeT, F-86000, Poitiers, France
- CHU Poitiers, Laboratoire de Cancérologie Biologique, F-86000, Poitiers, France
| | - Thomas Daubon
- Université Bordeaux, CNRS, IBGC, UMR5095, Bordeaux, France
| | - Lin Wang
- Department of Computational and Quantitative Medicine, Hematologic Malignancies Research Institute and Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Aaron A Diaz
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Oliver Schnell
- Department of Neurosurgery, Medical Center - University of Freiburg, Freiburg, Germany
| | - Jürgen Beck
- Department of Neurosurgery, Medical Center - University of Freiburg, Freiburg, Germany
| | - Nicolas Servant
- Institut Curie, PSL University, 75005, Paris, France
- INSERM U900, 75005, Paris, France
- MINES ParisTeach, CBIO-Centre for Computational Biology, PSL Research University, 75006, Paris, France
| | - Lucie Karayan-Tapon
- Université de Poitiers, CHU Poitiers, ProDiCeT, F-86000, Poitiers, France
- CHU Poitiers, Laboratoire de Cancérologie Biologique, F-86000, Poitiers, France
| | - Florence M G Cavalli
- Institut Curie, PSL University, 75005, Paris, France
- INSERM U900, 75005, Paris, France
- MINES ParisTeach, CBIO-Centre for Computational Biology, PSL Research University, 75006, Paris, France
| | - Giorgio Seano
- Institut Curie, INSERM U1021, CNRS UMR3347, Tumor Microenvironment Lab, Paris-Saclay University, 91400, Orsay, France.
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9
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Scherer M, Singh I, Braun M, Szu-Tu C, Kardorff M, Rühle J, Frömel R, Beneyto-Calabuig S, Raffel S, Rodriguez-Fraticelli A, Velten L. Somatic epimutations enable single-cell lineage tracing in native hematopoiesis across the murine and human lifespan. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.01.587514. [PMID: 38617287 PMCID: PMC11014487 DOI: 10.1101/2024.04.01.587514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
Current approaches to lineage tracing of stem cell clones require genetic engineering or rely on sparse somatic DNA variants, which are difficult to capture at single-cell resolution. Here, we show that targeted single-cell measurements of DNA methylation at single-CpG resolution deliver joint information about cellular differentiation state and clonal identities. We develop EPI-clone, a droplet-based method for transgene-free lineage tracing, and apply it to study hematopoiesis, capturing hundreds of clonal trajectories across almost 100,000 single-cells. Using ground-truth genetic barcodes, we demonstrate that EPI-clone accurately identifies clonal lineages throughout hematopoietic differentiation. Applied to unperturbed hematopoiesis, we describe an overall decline of clonal complexity during murine ageing and the expansion of rare low-output stem cell clones. In aged human donors, we identified expanded hematopoietic clones with and without genetic lesions, and various degrees of clonal complexity. Taken together, EPI-clone enables accurate and transgene-free single-cell lineage tracing at scale.
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Affiliation(s)
- Michael Scherer
- Computational Biology and Health Genomics, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), 08003 Barcelona, Spain
| | - Indranil Singh
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Martina Braun
- Computational Biology and Health Genomics, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), 08003 Barcelona, Spain
| | - Chelsea Szu-Tu
- Computational Biology and Health Genomics, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), 08003 Barcelona, Spain
| | - Michael Kardorff
- Department of Medicine, Hematology, Oncology and Rheumatology, University Hospital Heidelberg, 69120 Heidelberg, Germany
| | - Julia Rühle
- Computational Biology and Health Genomics, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), 08003 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Robert Frömel
- Computational Biology and Health Genomics, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), 08003 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Sergi Beneyto-Calabuig
- Computational Biology and Health Genomics, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), 08003 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Simon Raffel
- Department of Medicine, Hematology, Oncology and Rheumatology, University Hospital Heidelberg, 69120 Heidelberg, Germany
| | - Alejo Rodriguez-Fraticelli
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Lars Velten
- Computational Biology and Health Genomics, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), 08003 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
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10
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Marcuccio F, Chau CC, Tanner G, Elpidorou M, Finetti MA, Ajaib S, Taylor M, Lascelles C, Carr I, Macaulay I, Stead LF, Actis P. Single-cell nanobiopsy enables multigenerational longitudinal transcriptomics of cancer cells. SCIENCE ADVANCES 2024; 10:eadl0515. [PMID: 38446884 PMCID: PMC10917339 DOI: 10.1126/sciadv.adl0515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 01/31/2024] [Indexed: 03/08/2024]
Abstract
Single-cell RNA sequencing has revolutionized our understanding of cellular heterogeneity, but routine methods require cell lysis and fail to probe the dynamic trajectories responsible for cellular state transitions, which can only be inferred. Here, we present a nanobiopsy platform that enables the injection of exogenous molecules and multigenerational longitudinal cytoplasmic sampling from a single cell and its progeny. The technique is based on scanning ion conductance microscopy (SICM) and, as a proof of concept, was applied to longitudinally profile the transcriptome of single glioblastoma (GBM) brain tumor cells in vitro over 72 hours. The GBM cells were biopsied before and after exposure to chemotherapy and radiotherapy, and our results suggest that treatment either induces or selects for more transcriptionally stable cells. We envision the nanobiopsy will contribute to transforming standard single-cell transcriptomics from a static analysis into a dynamic assay.
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Affiliation(s)
- Fabio Marcuccio
- Faculty of Medicine, Imperial College London, London, UK
- Bragg Centre for Materials Research, University of Leeds, Leeds, UK
- School of Electronic and Electrical Engineering, University of Leeds, Leeds, UK
- Leeds Institute of Medical Research at St James’s, University of Leeds, Leeds, UK
| | - Chalmers C. Chau
- Bragg Centre for Materials Research, University of Leeds, Leeds, UK
- School of Electronic and Electrical Engineering, University of Leeds, Leeds, UK
- Leeds Institute of Medical Research at St James’s, University of Leeds, Leeds, UK
| | - Georgette Tanner
- Leeds Institute of Medical Research at St James’s, University of Leeds, Leeds, UK
| | - Marilena Elpidorou
- School of Electronic and Electrical Engineering, University of Leeds, Leeds, UK
- Leeds Institute of Medical Research at St James’s, University of Leeds, Leeds, UK
| | - Martina A. Finetti
- Leeds Institute of Medical Research at St James’s, University of Leeds, Leeds, UK
| | - Shoaib Ajaib
- Leeds Institute of Medical Research at St James’s, University of Leeds, Leeds, UK
| | - Morag Taylor
- Leeds Institute of Medical Research at St James’s, University of Leeds, Leeds, UK
| | - Carolina Lascelles
- Leeds Institute of Medical Research at St James’s, University of Leeds, Leeds, UK
| | - Ian Carr
- Leeds Institute of Medical Research at St James’s, University of Leeds, Leeds, UK
| | - Iain Macaulay
- Earlham Institute, Norwich Research Park, Norwich, UK
| | - Lucy F. Stead
- Leeds Institute of Medical Research at St James’s, University of Leeds, Leeds, UK
| | - Paolo Actis
- Bragg Centre for Materials Research, University of Leeds, Leeds, UK
- School of Electronic and Electrical Engineering, University of Leeds, Leeds, UK
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11
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Malta TM, Sabedot TS, Morosini NS, Datta I, Garofano L, Vallentgoed W, Varn FS, Aldape K, D'Angelo F, Bakas S, Barnholtz-Sloan JS, Gan HK, Hasanain M, Hau AC, Johnson KC, Cazacu S, deCarvalho AC, Khasraw M, Kocakavuk E, Kouwenhoven MC, Migliozzi S, Niclou SP, Niers JM, Ormond DR, Paek SH, Reifenberger G, Sillevis Smitt PA, Smits M, Stead LF, van den Bent MJ, Van Meir EG, Walenkamp A, Weiss T, Weller M, Westerman BA, Ylstra B, Wesseling P, Lasorella A, French PJ, Poisson LM, Verhaak RG, Iavarone A, Noushmehr H. The Epigenetic Evolution of Glioma Is Determined by the IDH1 Mutation Status and Treatment Regimen. Cancer Res 2024; 84:741-756. [PMID: 38117484 PMCID: PMC10911804 DOI: 10.1158/0008-5472.can-23-2093] [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: 07/14/2023] [Revised: 09/15/2023] [Accepted: 12/13/2023] [Indexed: 12/21/2023]
Abstract
Tumor adaptation or selection is thought to underlie therapy resistance in glioma. To investigate longitudinal epigenetic evolution of gliomas in response to therapeutic pressure, we performed an epigenomic analysis of 132 matched initial and recurrent tumors from patients with IDH-wildtype (IDHwt) and IDH-mutant (IDHmut) glioma. IDHwt gliomas showed a stable epigenome over time with relatively low levels of global methylation. The epigenome of IDHmut gliomas showed initial high levels of genome-wide DNA methylation that was progressively reduced to levels similar to those of IDHwt tumors. Integration of epigenomics, gene expression, and functional genomics identified HOXD13 as a master regulator of IDHmut astrocytoma evolution. Furthermore, relapse of IDHmut tumors was accompanied by histologic progression that was associated with survival, as validated in an independent cohort. Finally, the initial cell composition of the tumor microenvironment varied between IDHwt and IDHmut tumors and changed differentially following treatment, suggesting increased neoangiogenesis and T-cell infiltration upon treatment of IDHmut gliomas. This study provides one of the largest cohorts of paired longitudinal glioma samples with epigenomic, transcriptomic, and genomic profiling and suggests that treatment of IDHmut glioma is associated with epigenomic evolution toward an IDHwt-like phenotype. SIGNIFICANCE Standard treatments are related to loss of DNA methylation in IDHmut glioma, resulting in epigenetic activation of genes associated with tumor progression and alterations in the microenvironment that resemble treatment-naïve IDHwt glioma.
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Affiliation(s)
- Tathiane M. Malta
- School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Thais S. Sabedot
- Hermelin Brain Tumor Center, Henry Ford Health System, Detroit, Michigan
| | | | - Indrani Datta
- Hermelin Brain Tumor Center, Henry Ford Health System, Detroit, Michigan
| | - Luciano Garofano
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida
| | - Wies Vallentgoed
- Neurology Department, The Brain Tumour Center, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Frederick S. Varn
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut
| | | | - Fulvio D'Angelo
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida
- Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, Florida
| | - Spyridon Bakas
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | | | - Hui K. Gan
- Olivia Newton-John Cancer Research Institute, Austin Health, Heidelberg, Melbourne, Australia
| | - Mohammad Hasanain
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida
| | | | - Kevin C. Johnson
- Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut
| | - Simona Cazacu
- Hermelin Brain Tumor Center, Henry Ford Health System, Detroit, Michigan
| | - Ana C. deCarvalho
- Hermelin Brain Tumor Center, Henry Ford Health System, Detroit, Michigan
| | | | - Emre Kocakavuk
- Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut
- Department of Hematology and Stem Cell Transplantation, West German Cancer Center (WTZ), National Center for Tumor Diseases (NCT) West, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Mathilde C.M. Kouwenhoven
- Department of Neurology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Simona Migliozzi
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida
| | | | - Johanna M. Niers
- Department of Neurology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - D. Ryan Ormond
- University of Colorado School of Medicine, Department of Neurosurgery, Aurora, Colorado
| | - Sun Ha Paek
- Department of Neurosurgery, Cancer Research Institute, Hypoxia Ischemia Disease Institute, Seoul National University, Seoul, Republic of Korea (South)
| | - Guido Reifenberger
- Institute of Neuropathology, Heinrich Heine University, Dusseldorf, Germany
| | - Peter A. Sillevis Smitt
- Department of Neurology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- The Brain Tumour Centre, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Marion Smits
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands
| | - Lucy F. Stead
- Leeds Institute of Medical Research, University of Leeds, Leeds, United Kingdom
| | - Martin J. van den Bent
- Department of Neurology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- The Brain Tumour Centre, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Erwin G. Van Meir
- Department of Neurosurgery and O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama
| | | | - Tobias Weiss
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Bart A. Westerman
- Department of Neurology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Bauke Ylstra
- Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Pieter Wesseling
- Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Brain Tumor Center Amsterdam, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center, Amsterdam, the Netherlands
- Laboratory for Childhood Cancer Pathology, Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | - Anna Lasorella
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida
- Department of Biochemistry and Molecular Biology, University of Miami Miller School of Medicine, Miami, Florida
| | - Pim J. French
- Neurology Department, The Brain Tumour Center, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Laila M. Poisson
- Hermelin Brain Tumor Center, Henry Ford Health System, Detroit, Michigan
| | - Roel G.W. Verhaak
- Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut
- Department of Neurosurgery, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Antonio Iavarone
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida
- Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, Florida
| | - Houtan Noushmehr
- Hermelin Brain Tumor Center, Henry Ford Health System, Detroit, Michigan
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12
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Shen L, Zhang Z, Wu P, Yang J, Cai Y, Chen K, Chai S, Zhao J, Chen H, Dai X, Yang B, Wei W, Dong L, Chen J, Jiang P, Cao C, Ma C, Xu C, Zou Y, Zhang J, Xiong W, Li Z, Xu S, Shu B, Wang M, Li Z, Wan Q, Xiong N, Chen S. Mechanistic insight into glioma through spatially multidimensional proteomics. SCIENCE ADVANCES 2024; 10:eadk1721. [PMID: 38363834 PMCID: PMC10871530 DOI: 10.1126/sciadv.adk1721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 01/16/2024] [Indexed: 02/18/2024]
Abstract
Characterizing the tumor microenvironment at the molecular level is essential for understanding the mechanisms of tumorigenesis and evolution. However, the specificity of the blood proteome in localized region of the tumor and its linkages with other systems is difficult to investigate. Here, we propose a spatially multidimensional comparative proteomics strategy using glioma as an example. The blood proteome signature of tumor microenvironment was specifically identified by in situ collection of arterial and venous blood from the glioma region of the brain for comparison with peripheral blood. Also, by integrating with different dimensions of tissue and peripheral blood proteomics, the information on the genesis, migration, and exchange of glioma-associated proteins was revealed, which provided a powerful method for tumor mechanism research and biomarker discovery. The study recruited multidimensional clinical cohorts, allowing the proteomic results to corroborate each other, reliably revealing biological processes specific to gliomas, and identifying highly accurate biomarkers.
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Affiliation(s)
- Lei Shen
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Zhourui Zhang
- The Institute for Advanced Studies, Wuhan University, Wuhan, China
| | - Pengfei Wu
- The Institute for Advanced Studies, Wuhan University, Wuhan, China
| | - Jingyi Yang
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yuankun Cai
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Keyu Chen
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Songshan Chai
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Jingwei Zhao
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Hongyu Chen
- The Institute for Advanced Studies, Wuhan University, Wuhan, China
| | - Xuan Dai
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Bangkun Yang
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Wei Wei
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Lixin Dong
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Jincao Chen
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Pucha Jiang
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Changjun Cao
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Chao Ma
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Chengshi Xu
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yichun Zou
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Jibo Zhang
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Wenping Xiong
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Zhengwei Li
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Shuangxiang Xu
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Bing Shu
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Mengyang Wang
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Zejin Li
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Qiongqiong Wan
- The Institute for Advanced Studies, Wuhan University, Wuhan, China
| | - Nanxiang Xiong
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Suming Chen
- The Institute for Advanced Studies, Wuhan University, Wuhan, China
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13
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Tanner G, Barrow R, Ajaib S, Al-Jabri M, Ahmed N, Pollock S, Finetti M, Rippaus N, Bruns AF, Syed K, Poulter JA, Matthews L, Hughes T, Wilson E, Johnson C, Varn FS, Brüning-Richardson A, Hogg C, Droop A, Gusnanto A, Care MA, Cutillo L, Westhead DR, Short SC, Jenkinson MD, Brodbelt A, Chakrabarty A, Ismail A, Verhaak RGW, Stead LF. IDHwt glioblastomas can be stratified by their transcriptional response to standard treatment, with implications for targeted therapy. Genome Biol 2024; 25:45. [PMID: 38326875 PMCID: PMC10848526 DOI: 10.1186/s13059-024-03172-3] [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: 02/03/2023] [Accepted: 01/11/2024] [Indexed: 02/09/2024] Open
Abstract
BACKGROUND Glioblastoma (GBM) brain tumors lacking IDH1 mutations (IDHwt) have the worst prognosis of all brain neoplasms. Patients receive surgery and chemoradiotherapy but tumors almost always fatally recur. RESULTS Using RNA sequencing data from 107 pairs of pre- and post-standard treatment locally recurrent IDHwt GBM tumors, we identify two responder subtypes based on longitudinal changes in gene expression. In two thirds of patients, a specific subset of genes is upregulated from primary to recurrence (Up responders), and in one third, the same genes are downregulated (Down responders), specifically in neoplastic cells. Characterization of the responder subtypes indicates subtype-specific adaptive treatment resistance mechanisms that are associated with distinct changes in the tumor microenvironment. In Up responders, recurrent tumors are enriched in quiescent proneural GBM stem cells and differentiated neoplastic cells, with increased interaction with the surrounding normal brain and neurotransmitter signaling, whereas Down responders commonly undergo mesenchymal transition. ChIP-sequencing data from longitudinal GBM tumors suggests that the observed transcriptional reprogramming could be driven by Polycomb-based chromatin remodeling rather than DNA methylation. CONCLUSIONS We show that the responder subtype is cancer-cell intrinsic, recapitulated in in vitro GBM cell models, and influenced by the presence of the tumor microenvironment. Stratifying GBM tumors by responder subtype may lead to more effective treatment.
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Affiliation(s)
- Georgette Tanner
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Rhiannon Barrow
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Shoaib Ajaib
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Muna Al-Jabri
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Nazia Ahmed
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Steven Pollock
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Martina Finetti
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Nora Rippaus
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Alexander F Bruns
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Khaja Syed
- The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - James A Poulter
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Laura Matthews
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Thomas Hughes
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
- School of Science, Technology and Health, York St John University, York, YO31 7EX, UK
| | - Erica Wilson
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Colin Johnson
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Frederick S Varn
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | | | - Catherine Hogg
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | | | | | - Matthew A Care
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Luisa Cutillo
- School of Mathematics, University of Leeds, Leeds, UK
| | - David R Westhead
- School of Molecular and Cellular Biology, University of Leeds, Leeds, UK
| | - Susan C Short
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
- Leeds Teaching Hospital, Leeds, UK
| | - Michael D Jenkinson
- The Walton Centre NHS Foundation Trust, Liverpool, UK
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
| | | | | | | | - Roel G W Verhaak
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
- Yale School of Medicine, New Haven, CT, USA
| | - Lucy F Stead
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.
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14
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Mathur R, Wang Q, Schupp PG, Nikolic A, Hilz S, Hong C, Grishanina NR, Kwok D, Stevers NO, Jin Q, Youngblood MW, Stasiak LA, Hou Y, Wang J, Yamaguchi TN, Lafontaine M, Shai A, Smirnov IV, Solomon DA, Chang SM, Hervey-Jumper SL, Berger MS, Lupo JM, Okada H, Phillips JJ, Boutros PC, Gallo M, Oldham MC, Yue F, Costello JF. Glioblastoma evolution and heterogeneity from a 3D whole-tumor perspective. Cell 2024; 187:446-463.e16. [PMID: 38242087 PMCID: PMC10832360 DOI: 10.1016/j.cell.2023.12.013] [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: 04/06/2023] [Revised: 10/03/2023] [Accepted: 12/06/2023] [Indexed: 01/21/2024]
Abstract
Treatment failure for the lethal brain tumor glioblastoma (GBM) is attributed to intratumoral heterogeneity and tumor evolution. We utilized 3D neuronavigation during surgical resection to acquire samples representing the whole tumor mapped by 3D spatial coordinates. Integrative tissue and single-cell analysis revealed sources of genomic, epigenomic, and microenvironmental intratumoral heterogeneity and their spatial patterning. By distinguishing tumor-wide molecular features from those with regional specificity, we inferred GBM evolutionary trajectories from neurodevelopmental lineage origins and initiating events such as chromothripsis to emergence of genetic subclones and spatially restricted activation of differential tumor and microenvironmental programs in the core, periphery, and contrast-enhancing regions. Our work depicts GBM evolution and heterogeneity from a 3D whole-tumor perspective, highlights potential therapeutic targets that might circumvent heterogeneity-related failures, and establishes an interactive platform enabling 360° visualization and analysis of 3D spatial patterns for user-selected genes, programs, and other features across whole GBM tumors.
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Affiliation(s)
- Radhika Mathur
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Qixuan Wang
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Patrick G Schupp
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Ana Nikolic
- Department of Biochemistry & Molecular Biology, University of Calgary, Calgary, AB
| | - Stephanie Hilz
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Chibo Hong
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Nadia R Grishanina
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Darwin Kwok
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Nicholas O Stevers
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Qiushi Jin
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Mark W Youngblood
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Lena Ann Stasiak
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Ye Hou
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Juan Wang
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Takafumi N Yamaguchi
- Department of Human Genetics, University of California, Los Angeles, Los Angees, CA, USA
| | - Marisa Lafontaine
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Anny Shai
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Ivan V Smirnov
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - David A Solomon
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - Susan M Chang
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Shawn L Hervey-Jumper
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Mitchel S Berger
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Janine M Lupo
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Hideho Okada
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Joanna J Phillips
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Paul C Boutros
- Department of Human Genetics, University of California, Los Angeles, Los Angees, CA, USA
| | - Marco Gallo
- Department of Biochemistry & Molecular Biology, University of Calgary, Calgary, AB; Department of Pediatrics, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, USA
| | - Michael C Oldham
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Feng Yue
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA; Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
| | - Joseph F Costello
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
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15
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Ciriello G, Magnani L, Aitken SJ, Akkari L, Behjati S, Hanahan D, Landau DA, Lopez-Bigas N, Lupiáñez DG, Marine JC, Martin-Villalba A, Natoli G, Obenauf AC, Oricchio E, Scaffidi P, Sottoriva A, Swarbrick A, Tonon G, Vanharanta S, Zuber J. Cancer Evolution: A Multifaceted Affair. Cancer Discov 2024; 14:36-48. [PMID: 38047596 PMCID: PMC10784746 DOI: 10.1158/2159-8290.cd-23-0530] [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: 05/04/2023] [Revised: 08/29/2023] [Accepted: 10/23/2023] [Indexed: 12/05/2023]
Abstract
Cancer cells adapt and survive through the acquisition and selection of molecular modifications. This process defines cancer evolution. Building on a theoretical framework based on heritable genetic changes has provided insights into the mechanisms supporting cancer evolution. However, cancer hallmarks also emerge via heritable nongenetic mechanisms, including epigenetic and chromatin topological changes, and interactions between tumor cells and the tumor microenvironment. Recent findings on tumor evolutionary mechanisms draw a multifaceted picture where heterogeneous forces interact and influence each other while shaping tumor progression. A comprehensive characterization of the cancer evolutionary toolkit is required to improve personalized medicine and biomarker discovery. SIGNIFICANCE Tumor evolution is fueled by multiple enabling mechanisms. Importantly, genetic instability, epigenetic reprogramming, and interactions with the tumor microenvironment are neither alternative nor independent evolutionary mechanisms. As demonstrated by findings highlighted in this perspective, experimental and theoretical approaches must account for multiple evolutionary mechanisms and their interactions to ultimately understand, predict, and steer tumor evolution.
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Affiliation(s)
- Giovanni Ciriello
- Swiss Cancer Center Leman, Lausanne, Switzerland
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
| | - Luca Magnani
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, United Kingdom
- Breast Epigenetic Plasticity and Evolution Laboratory, Division of Breast Cancer Research, The Institute of Cancer Research, London, United Kingdom
- Department of Surgery and Cancer, Imperial College London, London, United Kingdom
| | - Sarah J. Aitken
- Medical Research Council Toxicology Unit, University of Cambridge, Cambridge, United Kingdom
- Department of Histopathology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | - Leila Akkari
- Division of Tumor Biology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Sam Behjati
- Wellcome Sanger Institute, Hinxton, United Kingdom
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
- Department of Paediatrics, University of Cambridge, Cambridge, United Kingdom
| | - Douglas Hanahan
- Swiss Cancer Center Leman, Lausanne, Switzerland
- Ludwig Institute for Cancer Research, Lausanne, Switzerland
| | - Dan A. Landau
- New York Genome Center, New York, New York
- Division of Hematology and Medical Oncology, Department of Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, New York
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, New York
| | - Nuria Lopez-Bigas
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Cáncer (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Darío G. Lupiáñez
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin Institute for Medical Systems Biology, Berlin, Germany
| | - Jean-Christophe Marine
- Laboratory for Molecular Cancer Biology, Center for Cancer Biology, VIB, Leuven, Belgium
- Laboratory for Molecular Cancer Biology, Department of Oncology, KULeuven, Leuven, Belgium
| | - Ana Martin-Villalba
- Department of Molecular Neurobiology, German Cancer Research Center (DFKZ), Heidelberg, Germany
| | - Gioacchino Natoli
- Department of Experimental Oncology, European Institute of Oncology IRCCS, Milan, Italy
| | - Anna C. Obenauf
- Research Institute of Molecular Pathology, Vienna Biocenter, Vienna, Austria
| | - Elisa Oricchio
- Swiss Cancer Center Leman, Lausanne, Switzerland
- Swiss Institute for Experimental Cancer Research (ISREC), School of Life Sciences, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland
| | - Paola Scaffidi
- Department of Experimental Oncology, European Institute of Oncology IRCCS, Milan, Italy
- Cancer Epigenetic Laboratory, The Francis Crick Institute, London, United Kingdom
| | - Andrea Sottoriva
- Computational Biology Research Centre, Human Technopole, Milan, Italy
| | - Alexander Swarbrick
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Darlinghurst, Australia
- School of Clinical Medicine, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia
| | - Giovanni Tonon
- Vita-Salute San Raffaele University, Milan, Italy
- Center for Omics Sciences, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Sakari Vanharanta
- Translational Cancer Medicine Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Biochemistry and Developmental Biology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Johannes Zuber
- Research Institute of Molecular Pathology, Vienna Biocenter, Vienna, Austria
- Medical University of Vienna, Vienna BioCenter (VBC), Vienna, Austria
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16
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Rahban M, Joushi S, Bashiri H, Saso L, Sheibani V. Characterization of prevalent tyrosine kinase inhibitors and their challenges in glioblastoma treatment. Front Chem 2024; 11:1325214. [PMID: 38264122 PMCID: PMC10804459 DOI: 10.3389/fchem.2023.1325214] [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: 10/20/2023] [Accepted: 12/21/2023] [Indexed: 01/25/2024] Open
Abstract
Glioblastoma multiforme (GBM) is a highly aggressive malignant primary tumor in the central nervous system. Despite extensive efforts in radiotherapy, chemotherapy, and neurosurgery, there remains an inadequate level of improvement in treatment outcomes. The development of large-scale genomic and proteomic analysis suggests that GBMs are characterized by transcriptional heterogeneity, which is responsible for therapy resistance. Hence, knowledge about the genetic and epigenetic heterogeneity of GBM is crucial for developing effective treatments for this aggressive form of brain cancer. Tyrosine kinases (TKs) can act as signal transducers, regulate important cellular processes like differentiation, proliferation, apoptosis and metabolism. Therefore, TK inhibitors (TKIs) have been developed to specifically target these kinases. TKIs are categorized into allosteric and non-allosteric inhibitors. Irreversible inhibitors form covalent bonds, which can lead to longer-lasting effects. However, this can also increase the risk of off-target effects and toxicity. The development of TKIs as therapeutics through computer-aided drug design (CADD) and bioinformatic techniques enhance the potential to improve patients' survival rates. Therefore, the continued exploration of TKIs as drug targets is expected to lead to even more effective and specific therapeutics in the future.
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Affiliation(s)
- Mahdie Rahban
- Neuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran
| | - Sara Joushi
- Neuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran
| | - Hamideh Bashiri
- Physiology Research Center, Institute of Neuropharmacology, Department of Physiology and Pharmacology, Medical School, Kerman University of Medical Sciences, Kerman, Iran
| | - Luciano Saso
- Department of Physiology and Pharmacology “Vittorio Erspamer”, Sapienza University, Rome, Italy
| | - Vahid Sheibani
- Neuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran
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17
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Wang B, Feng Y, Li Z, Zhou F, Luo J, Yang B, Long S, Li X, Liu Z, Li X, Chen J, Wang L, Wei W. Identification and validation of chromatin regulator-related signatures as a novel prognostic model for low-grade gliomas using translational bioinformatics. Life Sci 2024; 336:122312. [PMID: 38042284 DOI: 10.1016/j.lfs.2023.122312] [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: 08/28/2023] [Revised: 11/22/2023] [Accepted: 11/25/2023] [Indexed: 12/04/2023]
Abstract
AIMS The purpose of this study is to explore the potential biological role and prognostic significance of chromatin regulators (CRs) in low-grade gliomas (LGGs). MAIN METHODS CRs were obtained from the FACER database. Transcription profiles of LGG patients were collected from the TCGA and CGGA databases. Differentially expressed CRs (DECRs) between LGGs and normal controls were identified using DESeq2. The consensus clustering algorithm was employed to distinguish subtypes of LGGs based on prognosis-related DECRs. The differences in clinical and molecular characteristics between different subtypes were explored. R packages, GSVA, ssGSEA, and ESTIMATE were utilized to elucidate the tumor microenvironment and activated pathways in different subtypes. Subsequently, a CRs-related signature was developed using LASSO Cox regression. Its performance was evaluated by Kaplan-Meier curve and ROC curve analyses. In vitro experiments were performed to explore the function of JADE3 in LGGs, which predominantly expressed in glioma cells. KEY FINDINGS We identified 43 DECRs and two CRs-related subtypes of LGGs. The subtype characterized by shorter survival displayed significant enrichment for pathways associated with DNA damage response and repair, along with heightened immune cell infiltration. Furthermore, the CRs-based signature exhibited excellent prognostic performance in both the TCGA and CGGA databases. Knockdown of JADE3 significantly increased the invasion, migration, and proliferation abilities of Hs683. SIGNIFICANCE Our study reveals the aberrant expression and prognostic value of CRs in LGGs. It emphasizes the potential regulatory role of CRs in the microenvironment and DNA damage repair in LGGs. JADE3 could be a possible therapeutic target for LGGs.
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Affiliation(s)
- Bo Wang
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, 430071 Wuhan, China; Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yu Feng
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, 430071 Wuhan, China
| | - Zhengwei Li
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, 430071 Wuhan, China
| | - Fan Zhou
- Huanggang Central Hospital of Yangtze University, Hubei 438000, China
| | - Jie Luo
- Huanggang Central Hospital of Yangtze University, Hubei 438000, China
| | - Bin Yang
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, 430071 Wuhan, China; Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Shengrong Long
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, 430071 Wuhan, China; Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Xinyi Li
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, 430071 Wuhan, China
| | - Zhenyuan Liu
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, 430071 Wuhan, China
| | - Xiang Li
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, 430071 Wuhan, China; Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Jincao Chen
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, 430071 Wuhan, China
| | - Lei Wang
- Huanggang Central Hospital of Yangtze University, Hubei 438000, China.
| | - Wei Wei
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, 430071 Wuhan, China; Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China.
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18
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Biswas A, Sahoo S, Riedlinger GM, Ghodoussipour S, Jolly MK, De S. Transcriptional state dynamics lead to heterogeneity and adaptive tumor evolution in urothelial bladder carcinoma. Commun Biol 2023; 6:1292. [PMID: 38129585 PMCID: PMC10739805 DOI: 10.1038/s42003-023-05668-3] [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: 01/24/2023] [Accepted: 12/04/2023] [Indexed: 12/23/2023] Open
Abstract
Intra-tumor heterogeneity contributes to treatment failure and poor survival in urothelial bladder carcinoma (UBC). Analyzing transcriptome from a UBC cohort, we report that intra-tumor transcriptomic heterogeneity indicates co-existence of tumor cells in epithelial and mesenchymal-like transcriptional states and bi-directional transition between them occurs within and between tumor subclones. We model spontaneous and reversible transition between these partially heritable states in cell lines and characterize their population dynamics. SMAD3, KLF4 and PPARG emerge as key regulatory markers of the transcriptional dynamics. Nutrient limitation, as in the core of large tumors, and radiation treatment perturb the dynamics, initially selecting for a transiently resistant phenotype and then reconstituting heterogeneity and growth potential, driving adaptive evolution. Dominance of transcriptional states with low PPARG expression indicates an aggressive phenotype in UBC patients. We propose that phenotypic plasticity and dynamic, non-genetic intra-tumor heterogeneity modulate both the trajectory of disease progression and adaptive treatment response in UBC.
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Affiliation(s)
- Antara Biswas
- Rutgers Cancer Institute of New Jersey, Rutgers the State University of New Jersey, New Brunswick, NJ, USA.
| | | | - Gregory M Riedlinger
- Rutgers Cancer Institute of New Jersey, Rutgers the State University of New Jersey, New Brunswick, NJ, USA
| | - Saum Ghodoussipour
- Rutgers Cancer Institute of New Jersey, Rutgers the State University of New Jersey, New Brunswick, NJ, USA
| | | | - Subhajyoti De
- Rutgers Cancer Institute of New Jersey, Rutgers the State University of New Jersey, New Brunswick, NJ, USA.
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19
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Yan X, Li J, Zhang Y, Liang C, Liang P, Li T, Liu Q, Hui X. Alterations in cellular metabolism under different grades of glioma staging identified based on a multi-omics analysis strategy. Front Endocrinol (Lausanne) 2023; 14:1292944. [PMID: 38111705 PMCID: PMC10726964 DOI: 10.3389/fendo.2023.1292944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 10/30/2023] [Indexed: 12/20/2023] Open
Abstract
Glioma is a type of brain tumor closely related to abnormal cell metabolism. Firstly, multiple combinatorial sequencing studies have revealed this relationship. Genomic studies have identified gene mutations and gene expression disorders related to the development of gliomas, which affect cell metabolic pathways. In addition, transcriptome studies have revealed the genes and regulatory networks that regulate cell metabolism in glioma tissues. Metabonomics studies have shown that the metabolic pathway of glioma cells has changed, indicating their distinct energy and nutritional requirements. This paper focuses on the retrospective analysis of multiple groups combined with sequencing to analyze the changes in various metabolites during metabolism in patients with glioma. Finally, the changes in genes, regulatory networks, and metabolic pathways regulating cell metabolism in patients with glioma under different metabolic conditions were discussed. It is also proposed that multi-group metabolic analysis is expected to better understand the mechanism of abnormal metabolism of gliomas and provide more personalized methods and guidance for early diagnosis, treatment, and prognosis evaluation of gliomas.
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Affiliation(s)
- Xianlei Yan
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Neurosurgery, Liuzhou Workers Hospital, Liuzhou, Guangxi, China
| | - Jinwei Li
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yang Zhang
- Department of Vascular Surgery, Fuwai Yunnan Cardiovascular Hospital, Affiliated Cardiovascular Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Cong Liang
- Department of Pharmacy, Liuzhou Workers Hospital, Liuzhou, Guangxi, China
| | - Pengcheng Liang
- Department of Neurosurgery, Liuzhou Workers Hospital, Liuzhou, Guangxi, China
| | - Tao Li
- Department of Medical Imaging, Liuzhou Workers Hospital, Liuzhou, Guangxi, China
| | - Quan Liu
- Department of Neurosurgery, Liuzhou Workers Hospital, Liuzhou, Guangxi, China
| | - Xuhui Hui
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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20
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Whiting FJH, Househam J, Baker AM, Sottoriva A, Graham TA. Phenotypic noise and plasticity in cancer evolution. Trends Cell Biol 2023:S0962-8924(23)00206-4. [PMID: 37968225 DOI: 10.1016/j.tcb.2023.10.002] [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: 07/13/2023] [Revised: 09/29/2023] [Accepted: 10/04/2023] [Indexed: 11/17/2023]
Abstract
Non-genetic alterations can produce changes in a cell's phenotype. In cancer, these phenomena can influence a cell's fitness by conferring access to heritable, beneficial phenotypes. Herein, we argue that current discussions of 'phenotypic plasticity' in cancer evolution ignore a salient feature of the original definition: namely, that it occurs in response to an environmental change. We suggest 'phenotypic noise' be used to distinguish non-genetic changes in phenotype that occur independently from the environment. We discuss the conceptual and methodological techniques used to identify these phenomena during cancer evolution. We propose that the distinction will guide efforts to define mechanisms of phenotype change, accelerate translational work to manipulate phenotypes through treatment, and, ultimately, improve patient outcomes.
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Affiliation(s)
| | - Jacob Househam
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Ann-Marie Baker
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Andrea Sottoriva
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK; Computational Biology Research Centre, Human Technopole, Milan, Italy
| | - Trevor A Graham
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
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21
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Harmange G, Hueros RAR, Schaff DL, Emert B, Saint-Antoine M, Kim LC, Niu Z, Nellore S, Fane ME, Alicea GM, Weeraratna AT, Simon MC, Singh A, Shaffer SM. Disrupting cellular memory to overcome drug resistance. Nat Commun 2023; 14:7130. [PMID: 37932277 PMCID: PMC10628298 DOI: 10.1038/s41467-023-41811-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 09/15/2023] [Indexed: 11/08/2023] Open
Abstract
Gene expression states persist for varying lengths of time at the single-cell level, a phenomenon known as gene expression memory. When cells switch states, losing memory of their prior state, this transition can occur in the absence of genetic changes. However, we lack robust methods to find regulators of memory or track state switching. Here, we develop a lineage tracing-based technique to quantify memory and identify cells that switch states. Applied to melanoma cells without therapy, we quantify long-lived fluctuations in gene expression that are predictive of later resistance to targeted therapy. We also identify the PI3K and TGF-β pathways as state switching modulators. We propose a pretreatment model, first applying a PI3K inhibitor to modulate gene expression states, then applying targeted therapy, which leads to less resistance than targeted therapy alone. Together, we present a method for finding modulators of gene expression memory and their associated cell fates.
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Affiliation(s)
- Guillaume Harmange
- Cellular and Molecular Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Raúl A Reyes Hueros
- Department of Biochemistry and Molecular Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Dylan L Schaff
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA
| | - Benjamin Emert
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Michael Saint-Antoine
- Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, 19716, USA
| | - Laura C Kim
- Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Zijian Niu
- Department of Chemistry, College of the Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA
- Department of Physics, College of the Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA
| | - Shivani Nellore
- Department of Biology, College of the Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA
- The Wharton School, University of Pennsylvania, Philadelphia, PA, USA
| | - Mitchell E Fane
- Cancer Signaling and Microenvironment Research Program, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Gretchen M Alicea
- Department of Biochemistry and Molecular Biology, Johns Hopkins School of Public Health, Baltimore, MD, USA
| | - Ashani T Weeraratna
- Department of Biochemistry and Molecular Biology, Johns Hopkins School of Public Health, Baltimore, MD, USA
- Sidney Kimmel Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - M Celeste Simon
- Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Abhyudai Singh
- Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, 19716, USA
| | - Sydney M Shaffer
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Pathology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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22
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Heuer S, Winkler F. Glioblastoma revisited: from neuronal-like invasion to pacemaking. Trends Cancer 2023; 9:887-896. [PMID: 37586918 DOI: 10.1016/j.trecan.2023.07.009] [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: 06/01/2023] [Revised: 07/13/2023] [Accepted: 07/17/2023] [Indexed: 08/18/2023]
Abstract
In recent years, two developments have helped us to better understand the fundamental biology of glioblastoma: the description of a striking intratumoral heterogeneity including gene expression-based cell states, and the discovery that neuro-cancer interactions and cancer-intrinsic neurodevelopmental mechanisms are fundamental features of glioblastoma. In this opinion article, we aim to integrate both developments. We explain how two key disease features are characterized by different neural mechanisms related to distinct but plastic cancer cell states: first, the single cell-dominated invasive parts and second, the more solid parts which are dominated by communicating cell networks constantly activated by pacemaker-like glioblastoma cells. The resulting integrative roadmap of molecular and functional heterogeneity contributes to the Cancer Neuroscience of glioblastoma and suggests novel therapeutic strategies.
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Affiliation(s)
- Sophie Heuer
- Neurology Clinic and National Center for Tumor Diseases, University Hospital Heidelberg, INF 400, 69120 Heidelberg, Germany; Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Frank Winkler
- Neurology Clinic and National Center for Tumor Diseases, University Hospital Heidelberg, INF 400, 69120 Heidelberg, Germany; Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
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23
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Stringer BW, De Silva MI, Greenberg Z, Noreña Puerta A, Adams R, Milky B, Zabolocki M, van den Hurk M, Ebert LM, Fairly Bishop C, Conn SJ, Kichenadasse G, Michael MZ, Ormsby RJ, Poonoose S, Bardy C. Human cerebrospinal fluid affects chemoradiotherapy sensitivities in tumor cells from patients with glioblastoma. SCIENCE ADVANCES 2023; 9:eadf1332. [PMID: 37878712 PMCID: PMC10599627 DOI: 10.1126/sciadv.adf1332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 09/21/2023] [Indexed: 10/27/2023]
Abstract
Cancers in the central nervous system resist therapies effective in other cancers, possibly due to the unique biochemistry of the human brain microenvironment composed of cerebrospinal fluid (CSF). However, the impact of CSF on cancer cells and therapeutic efficacy is unknown. Here, we examined the effect of human CSF on glioblastoma (GBM) tumors from 25 patients. We found that CSF induces tumor cell plasticity and resistance to standard GBM treatments (temozolomide and irradiation). We identified nuclear protein 1 (NUPR1), a transcription factor hampering ferroptosis, as a mediator of therapeutic resistance in CSF. NUPR1 inhibition with a repurposed antipsychotic, trifluoperazine, enhanced the killing of GBM cells resistant to chemoradiation in CSF. The same chemo-effective doses of trifluoperazine were safe for human neurons and astrocytes derived from pluripotent stem cells. These findings reveal that chemoradiation efficacy decreases in human CSF and suggest that combining trifluoperazine with standard care may improve the survival of patients with GBM.
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Affiliation(s)
- Brett W. Stringer
- South Australian Health and Medical Research Institute (SAHMRI), Laboratory for Human Neurophysiology and Genetics, Adelaide, SA, Australia
- Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
| | - Manam Inushi De Silva
- South Australian Health and Medical Research Institute (SAHMRI), Laboratory for Human Neurophysiology and Genetics, Adelaide, SA, Australia
- Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
| | - Zarina Greenberg
- South Australian Health and Medical Research Institute (SAHMRI), Laboratory for Human Neurophysiology and Genetics, Adelaide, SA, Australia
| | - Alejandra Noreña Puerta
- South Australian Health and Medical Research Institute (SAHMRI), Laboratory for Human Neurophysiology and Genetics, Adelaide, SA, Australia
- Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
| | - Robert Adams
- South Australian Health and Medical Research Institute (SAHMRI), Laboratory for Human Neurophysiology and Genetics, Adelaide, SA, Australia
- Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
| | - Bridget Milky
- South Australian Health and Medical Research Institute (SAHMRI), Laboratory for Human Neurophysiology and Genetics, Adelaide, SA, Australia
- Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
| | - Michael Zabolocki
- South Australian Health and Medical Research Institute (SAHMRI), Laboratory for Human Neurophysiology and Genetics, Adelaide, SA, Australia
- Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
| | - Mark van den Hurk
- South Australian Health and Medical Research Institute (SAHMRI), Laboratory for Human Neurophysiology and Genetics, Adelaide, SA, Australia
| | - Lisa M. Ebert
- Centre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, Australia
- Cancer Clinical Trials Unit, Royal Adelaide Hospital, Adelaide, SA, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
| | - Christine Fairly Bishop
- Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
- Flinders Medical Centre, SA Health, Adelaide, SA, Australia
| | - Simon J. Conn
- Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
| | - Ganessan Kichenadasse
- Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
- Flinders Medical Centre, SA Health, Adelaide, SA, Australia
| | - Michael Z. Michael
- Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
- Flinders Medical Centre, SA Health, Adelaide, SA, Australia
| | - Rebecca J. Ormsby
- Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
| | - Santosh Poonoose
- Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
| | - Cedric Bardy
- South Australian Health and Medical Research Institute (SAHMRI), Laboratory for Human Neurophysiology and Genetics, Adelaide, SA, Australia
- Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
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24
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Jucht A, Dumont S, Pooley C, Gonzalez Castro LN. Cancer vaccine strategies for the treatment of diffusely infiltrating gliomas. Ther Adv Vaccines Immunother 2023; 11:25151355231206163. [PMID: 37886714 PMCID: PMC10599115 DOI: 10.1177/25151355231206163] [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: 02/24/2023] [Accepted: 09/19/2023] [Indexed: 10/28/2023] Open
Abstract
Diffusely infiltrating gliomas - including glioblastoma (GBM), isocitrate dehydrogenase (IDH) mutant gliomas, and histone 3 (H3) altered gliomas - are primary brain tumors with an invariably fatal outcome. Despite advances in the understanding of their biology, standard, targeted and immune checkpoint inhibitor immunotherapies have proven ineffective in arresting their inexorable progression and associated morbidity and mortality. Recognizing the unique aspects of the immunogenicity of cancer cells, the last decade has seen the development and evaluation of vaccine-based therapies for the treatment of solid tumors, including gliomas. Here we review the current vaccine strategies for the treatment of GBM, IDH-mutant gliomas and diffuse midline glioma H3 K27M-altered. We discuss potential benefits and challenges of vaccine therapies in these specific patient populations.
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25
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Ashouri A, Zhang C, Gaiti F. Decoding Cancer Evolution: Integrating Genetic and Non-Genetic Insights. Genes (Basel) 2023; 14:1856. [PMID: 37895205 PMCID: PMC10606072 DOI: 10.3390/genes14101856] [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: 09/01/2023] [Revised: 09/19/2023] [Accepted: 09/22/2023] [Indexed: 10/29/2023] Open
Abstract
The development of cancer begins with cells transitioning from their multicellular nature to a state akin to unicellular organisms. This shift leads to a breakdown in the crucial regulators inherent to multicellularity, resulting in the emergence of diverse cancer cell subpopulations that have enhanced adaptability. The presence of different cell subpopulations within a tumour, known as intratumoural heterogeneity (ITH), poses challenges for cancer treatment. In this review, we delve into the dynamics of the shift from multicellularity to unicellularity during cancer onset and progression. We highlight the role of genetic and non-genetic factors, as well as tumour microenvironment, in promoting ITH and cancer evolution. Additionally, we shed light on the latest advancements in omics technologies that allow for in-depth analysis of tumours at the single-cell level and their spatial organization within the tissue. Obtaining such detailed information is crucial for deepening our understanding of the diverse evolutionary paths of cancer, allowing for the development of effective therapies targeting the key drivers of cancer evolution.
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Affiliation(s)
- Arghavan Ashouri
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada
| | - Chufan Zhang
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
| | - Federico Gaiti
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
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26
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Sim J, Park J, Moon JS, Lim J. Dysregulation of inflammasome activation in glioma. Cell Commun Signal 2023; 21:239. [PMID: 37723542 PMCID: PMC10506313 DOI: 10.1186/s12964-023-01255-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 08/01/2023] [Indexed: 09/20/2023] Open
Abstract
Gliomas are the most common brain tumors characterized by complicated heterogeneity. The genetic, molecular, and histological pathology of gliomas is characterized by high neuro-inflammation. The inflammatory microenvironment in the central nervous system (CNS) has been closely linked with inflammasomes that control the inflammatory response and coordinate innate host defenses. Dysregulation of the inflammasome causes an abnormal inflammatory response, leading to carcinogenesis in glioma. Because of the clinical importance of the various physiological properties of the inflammasome in glioma, the inflammasome has been suggested as a promising treatment target for glioma management. Here, we summarize the current knowledge on the contribution of the inflammasomes in glioma and therapeutic insights. Video Abstract.
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Affiliation(s)
- JeongMin Sim
- Department of Biomedical Science, College of Life Science, CHA University, Pocheon, 11160, Republic of Korea
- Department of Neurosurgery, CHA Bundang Medical Center, CHA University College of Medicine, 59 Yatap-Ro, Bundang-Gu, Seongnam, 13496, Republic of Korea
| | - JeongMan Park
- Department of Biomedical Science, College of Life Science, CHA University, Pocheon, 11160, Republic of Korea
- Department of Neurosurgery, CHA Bundang Medical Center, CHA University College of Medicine, 59 Yatap-Ro, Bundang-Gu, Seongnam, 13496, Republic of Korea
| | - Jong-Seok Moon
- Department of Integrated Biomedical Science, Soonchunhyang Institute of Medi-Bio Science (SIMS), Soonchunhyang University, Cheonan, 31151, Republic of Korea.
| | - Jaejoon Lim
- Department of Biomedical Science, College of Life Science, CHA University, Pocheon, 11160, Republic of Korea.
- Department of Neurosurgery, CHA Bundang Medical Center, CHA University College of Medicine, 59 Yatap-Ro, Bundang-Gu, Seongnam, 13496, Republic of Korea.
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27
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Cortés-López M, Chamely P, Hawkins AG, Stanley RF, Swett AD, Ganesan S, Mouhieddine TH, Dai X, Kluegel L, Chen C, Batta K, Furer N, Vedula RS, Beaulaurier J, Drong AW, Hickey S, Dusaj N, Mullokandov G, Stasiw AM, Su J, Chaligné R, Juul S, Harrington E, Knowles DA, Potenski CJ, Wiseman DH, Tanay A, Shlush L, Lindsley RC, Ghobrial IM, Taylor J, Abdel-Wahab O, Gaiti F, Landau DA. Single-cell multi-omics defines the cell-type-specific impact of splicing aberrations in human hematopoietic clonal outgrowths. Cell Stem Cell 2023; 30:1262-1281.e8. [PMID: 37582363 PMCID: PMC10528176 DOI: 10.1016/j.stem.2023.07.012] [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: 10/18/2022] [Revised: 05/28/2023] [Accepted: 07/18/2023] [Indexed: 08/17/2023]
Abstract
RNA splicing factors are recurrently mutated in clonal blood disorders, but the impact of dysregulated splicing in hematopoiesis remains unclear. To overcome technical limitations, we integrated genotyping of transcriptomes (GoT) with long-read single-cell transcriptomics and proteogenomics for single-cell profiling of transcriptomes, surface proteins, somatic mutations, and RNA splicing (GoT-Splice). We applied GoT-Splice to hematopoietic progenitors from myelodysplastic syndrome (MDS) patients with mutations in the core splicing factor SF3B1. SF3B1mut cells were enriched in the megakaryocytic-erythroid lineage, with expansion of SF3B1mut erythroid progenitor cells. We uncovered distinct cryptic 3' splice site usage in different progenitor populations and stage-specific aberrant splicing during erythroid differentiation. Profiling SF3B1-mutated clonal hematopoiesis samples revealed that erythroid bias and cell-type-specific cryptic 3' splice site usage in SF3B1mut cells precede overt MDS. Collectively, GoT-Splice defines the cell-type-specific impact of somatic mutations on RNA splicing, from early clonal outgrowths to overt neoplasia, directly in human samples.
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Affiliation(s)
- Mariela Cortés-López
- New York Genome Center, New York, NY, USA; Division of Hematology and Medical Oncology, Department of Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Paulina Chamely
- New York Genome Center, New York, NY, USA; Division of Hematology and Medical Oncology, Department of Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Allegra G Hawkins
- Childhood Cancer Data Lab, Alex's Lemonade Stand Foundation, Philadelphia, PA, USA
| | - Robert F Stanley
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ariel D Swett
- New York Genome Center, New York, NY, USA; Division of Hematology and Medical Oncology, Department of Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Saravanan Ganesan
- New York Genome Center, New York, NY, USA; Division of Hematology and Medical Oncology, Department of Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Tarek H Mouhieddine
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Xiaoguang Dai
- Oxford Nanopore Technologies Inc., New York, NY, USA
| | - Lloyd Kluegel
- New York Genome Center, New York, NY, USA; Division of Hematology and Medical Oncology, Department of Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Celine Chen
- New York Genome Center, New York, NY, USA; Division of Hematology and Medical Oncology, Department of Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA; Tri-Institutional MD-PhD Program, Weill Cornell Medicine, Rockefeller University, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kiran Batta
- Division of Cancer Sciences, The University of Manchester, Manchester, UK
| | - Nili Furer
- Weizmann Institute of Science, Department of Molecular Cell Biology, Rehovot, Israel
| | - Rahul S Vedula
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | | | - Scott Hickey
- Oxford Nanopore Technologies Inc., San Francisco, CA, USA
| | - Neville Dusaj
- New York Genome Center, New York, NY, USA; Division of Hematology and Medical Oncology, Department of Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA; Tri-Institutional MD-PhD Program, Weill Cornell Medicine, Rockefeller University, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Gavriel Mullokandov
- New York Genome Center, New York, NY, USA; Division of Hematology and Medical Oncology, Department of Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Adam M Stasiw
- New York Genome Center, New York, NY, USA; Division of Hematology and Medical Oncology, Department of Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Jiayu Su
- New York Genome Center, New York, NY, USA; Department of Systems Biology, Columbia University, New York, NY, USA
| | - Ronan Chaligné
- Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sissel Juul
- Oxford Nanopore Technologies Inc., New York, NY, USA
| | | | - David A Knowles
- New York Genome Center, New York, NY, USA; Department of Systems Biology, Columbia University, New York, NY, USA; Department of Computer Science, Columbia University, New York, NY, USA
| | - Catherine J Potenski
- New York Genome Center, New York, NY, USA; Division of Hematology and Medical Oncology, Department of Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Daniel H Wiseman
- Division of Cancer Sciences, The University of Manchester, Manchester, UK
| | - Amos Tanay
- Weizmann Institute of Science, Department of Computer Science and Applied Mathematics, Rehovot, Israel
| | - Liran Shlush
- Weizmann Institute of Science, Department of Molecular Cell Biology, Rehovot, Israel
| | - Robert C Lindsley
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Irene M Ghobrial
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Justin Taylor
- Sylvester Comprehensive Cancer Center, University of Miami, Miller School of Medicine, Miami, FL, USA
| | - Omar Abdel-Wahab
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Federico Gaiti
- University Health Network, Princess Margaret Cancer Centre, Toronto, ON, Canada; University of Toronto, Medical Biophysics, Toronto, ON, Canada.
| | - Dan A Landau
- New York Genome Center, New York, NY, USA; Division of Hematology and Medical Oncology, Department of Medicine and Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA; Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
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28
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Santamarina‐Ojeda P, Tejedor JR, Pérez RF, López V, Roberti A, Mangas C, Fernández AF, Fraga MF. Multi-omic integration of DNA methylation and gene expression data reveals molecular vulnerabilities in glioblastoma. Mol Oncol 2023; 17:1726-1743. [PMID: 37357610 PMCID: PMC10483606 DOI: 10.1002/1878-0261.13479] [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: 01/13/2023] [Revised: 04/25/2023] [Accepted: 06/23/2023] [Indexed: 06/27/2023] Open
Abstract
Glioblastoma (GBM) is one of the most aggressive types of cancer and exhibits profound genetic and epigenetic heterogeneity, making the development of an effective treatment a major challenge. The recent incorporation of molecular features into the diagnosis of patients with GBM has led to an improved categorization into various tumour subtypes with different prognoses and disease management. In this work, we have exploited the benefits of genome-wide multi-omic approaches to identify potential molecular vulnerabilities existing in patients with GBM. Integration of gene expression and DNA methylation data from both bulk GBM and patient-derived GBM stem cell lines has revealed the presence of major sources of GBM variability, pinpointing subtype-specific tumour vulnerabilities amenable to pharmacological interventions. In this sense, inhibition of the AP-1, SMAD3 and RUNX1/RUNX2 pathways, in combination or not with the chemotherapeutic agent temozolomide, led to the subtype-specific impairment of tumour growth, particularly in the context of the aggressive, mesenchymal-like subtype. These results emphasize the involvement of these molecular pathways in the development of GBM and have potential implications for the development of personalized therapeutic approaches.
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Affiliation(s)
- Pablo Santamarina‐Ojeda
- Health Research Institute of Asturias (ISPA)Spain
- Foundation for Biomedical Research and Innovation in Asturias (FINBA)Spain
- University Institute of Oncology of Asturias (IUOPA)Spain
- Centre for Biomedical Network Research on Rare Diseases (CIBERER)MadridSpain
| | - Juan Ramón Tejedor
- Health Research Institute of Asturias (ISPA)Spain
- Foundation for Biomedical Research and Innovation in Asturias (FINBA)Spain
- University Institute of Oncology of Asturias (IUOPA)Spain
- Centre for Biomedical Network Research on Rare Diseases (CIBERER)MadridSpain
- Nanomaterials and Nanotechnology Research Centre (CINN‐CSIC)Principality of AsturiasSpain
| | - Raúl F. Pérez
- Health Research Institute of Asturias (ISPA)Spain
- Foundation for Biomedical Research and Innovation in Asturias (FINBA)Spain
- University Institute of Oncology of Asturias (IUOPA)Spain
- Centre for Biomedical Network Research on Rare Diseases (CIBERER)MadridSpain
- Nanomaterials and Nanotechnology Research Centre (CINN‐CSIC)Principality of AsturiasSpain
| | - Virginia López
- Health Research Institute of Asturias (ISPA)Spain
- Foundation for Biomedical Research and Innovation in Asturias (FINBA)Spain
- University Institute of Oncology of Asturias (IUOPA)Spain
- Centre for Biomedical Network Research on Rare Diseases (CIBERER)MadridSpain
| | - Annalisa Roberti
- Health Research Institute of Asturias (ISPA)Spain
- Foundation for Biomedical Research and Innovation in Asturias (FINBA)Spain
- University Institute of Oncology of Asturias (IUOPA)Spain
- Nanomaterials and Nanotechnology Research Centre (CINN‐CSIC)Principality of AsturiasSpain
| | - Cristina Mangas
- Health Research Institute of Asturias (ISPA)Spain
- Foundation for Biomedical Research and Innovation in Asturias (FINBA)Spain
- University Institute of Oncology of Asturias (IUOPA)Spain
| | - Agustín F. Fernández
- Health Research Institute of Asturias (ISPA)Spain
- Foundation for Biomedical Research and Innovation in Asturias (FINBA)Spain
- University Institute of Oncology of Asturias (IUOPA)Spain
- Centre for Biomedical Network Research on Rare Diseases (CIBERER)MadridSpain
- Nanomaterials and Nanotechnology Research Centre (CINN‐CSIC)Principality of AsturiasSpain
| | - Mario F. Fraga
- Health Research Institute of Asturias (ISPA)Spain
- Foundation for Biomedical Research and Innovation in Asturias (FINBA)Spain
- University Institute of Oncology of Asturias (IUOPA)Spain
- Centre for Biomedical Network Research on Rare Diseases (CIBERER)MadridSpain
- Nanomaterials and Nanotechnology Research Centre (CINN‐CSIC)Principality of AsturiasSpain
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29
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Lin S, Li K, Qi L. Cancer stem cells in brain tumors: From origin to clinical implications. MedComm (Beijing) 2023; 4:e341. [PMID: 37576862 PMCID: PMC10412776 DOI: 10.1002/mco2.341] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 06/24/2023] [Accepted: 07/04/2023] [Indexed: 08/15/2023] Open
Abstract
Malignant brain tumors are highly heterogeneous tumors with a poor prognosis and a high morbidity and mortality rate in both children and adults. The cancer stem cell (CSC, also named tumor-initiating cell) model states that tumor growth is driven by a subset of CSCs. This model explains some of the clinical observations of brain tumors, including the almost unavoidable tumor recurrence after initial successful chemotherapy and/or radiotherapy and treatment resistance. Over the past two decades, strategies for the identification and characterization of brain CSCs have improved significantly, supporting the design of new diagnostic and therapeutic strategies for brain tumors. Relevant studies have unveiled novel characteristics of CSCs in the brain, including their heterogeneity and distinctive immunobiology, which have provided opportunities for new research directions and potential therapeutic approaches. In this review, we summarize the current knowledge of CSCs markers and stemness regulators in brain tumors. We also comprehensively describe the influence of the CSCs niche and tumor microenvironment on brain tumor stemness, including interactions between CSCs and the immune system, and discuss the potential application of CSCs in brain-based therapies for the treatment of brain tumors.
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Affiliation(s)
- Shuyun Lin
- Institute of Digestive DiseaseThe Sixth Affiliated Hospital of Guangzhou Medical UniversityQingyuan People's HospitalQingyuanGuangdongChina
| | - Kaishu Li
- Institute of Digestive DiseaseThe Sixth Affiliated Hospital of Guangzhou Medical UniversityQingyuan People's HospitalQingyuanGuangdongChina
| | - Ling Qi
- Institute of Digestive DiseaseThe Sixth Affiliated Hospital of Guangzhou Medical UniversityQingyuan People's HospitalQingyuanGuangdongChina
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30
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Wang X, Sun Y, Zhang DY, Ming GL, Song H. Glioblastoma modeling with 3D organoids: progress and challenges. OXFORD OPEN NEUROSCIENCE 2023; 2:kvad008. [PMID: 38596241 PMCID: PMC10913843 DOI: 10.1093/oons/kvad008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/11/2024]
Abstract
Glioblastoma (GBM) is the most aggressive adult primary brain tumor with nearly universal treatment resistance and recurrence. The mainstay of therapy remains maximal safe surgical resection followed by concurrent radiation therapy and temozolomide chemotherapy. Despite intensive investigation, alternative treatment options, such as immunotherapy or targeted molecular therapy, have yielded limited success to achieve long-term remission. This difficulty is partly due to the lack of pre-clinical models that fully recapitulate the intratumoral and intertumoral heterogeneity of GBM and the complex tumor microenvironment. Recently, GBM 3D organoids originating from resected patient tumors, genetic manipulation of induced pluripotent stem cell (iPSC)-derived brain organoids and bio-printing or fusion with non-malignant tissues have emerged as novel culture systems to portray the biology of GBM. Here, we highlight several methodologies for generating GBM organoids and discuss insights gained using such organoid models compared to classic modeling approaches using cell lines and xenografts. We also outline limitations of current GBM 3D organoids, most notably the difficulty retaining the tumor microenvironment, and discuss current efforts for improvements. Finally, we propose potential applications of organoid models for a deeper mechanistic understanding of GBM and therapeutic development.
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Affiliation(s)
- Xin Wang
- Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Yusha Sun
- Neuroscience Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Daniel Y Zhang
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Guo-li Ming
- Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Institute for Regenerative Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Hongjun Song
- Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Institute for Regenerative Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- The Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- GBM Translational Center of Excellence, Abramson Cancer Center, University of Pennsylvania Philadelphia, PA 19104, USA
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31
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Mohan DR, Borges KS, Finco I, LaPensee CR, Rege J, Solon AL, Little DW, Else T, Almeida MQ, Dang D, Haggerty-Skeans J, Apfelbaum AA, Vinco M, Wakamatsu A, Mariani BMP, Amorim LC, Latronico AC, Mendonca BB, Zerbini MCN, Lawlor ER, Ohi R, Auchus RJ, Rainey WE, Marie SKN, Giordano TJ, Venneti S, Fragoso MCBV, Breault DT, Lerario AM, Hammer GD. β-Catenin-Driven Differentiation Is a Tissue-Specific Epigenetic Vulnerability in Adrenal Cancer. Cancer Res 2023; 83:2123-2141. [PMID: 37129912 PMCID: PMC10330305 DOI: 10.1158/0008-5472.can-22-2712] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 03/19/2023] [Accepted: 04/28/2023] [Indexed: 05/03/2023]
Abstract
Adrenocortical carcinoma (ACC) is a rare cancer in which tissue-specific differentiation is paradoxically associated with dismal outcomes. The differentiated ACC subtype CIMP-high is prevalent, incurable, and routinely fatal. CIMP-high ACC possess abnormal DNA methylation and frequent β-catenin-activating mutations. Here, we demonstrated that ACC differentiation is maintained by a balance between nuclear, tissue-specific β-catenin-containing complexes, and the epigenome. On chromatin, β-catenin bound master adrenal transcription factor SF1 and hijacked the adrenocortical super-enhancer landscape to maintain differentiation in CIMP-high ACC; off chromatin, β-catenin bound histone methyltransferase EZH2. SF1/β-catenin and EZH2/β-catenin complexes present in normal adrenals persisted through all phases of ACC evolution. Pharmacologic EZH2 inhibition in CIMP-high ACC expelled SF1/β-catenin from chromatin and favored EZH2/β-catenin assembly, erasing differentiation and restraining cancer growth in vitro and in vivo. These studies illustrate how tissue-specific programs shape oncogene selection, surreptitiously encoding targetable therapeutic vulnerabilities. SIGNIFICANCE Oncogenic β-catenin can use tissue-specific partners to regulate cellular differentiation programs that can be reversed by epigenetic therapies, identifying epigenetic control of differentiation as a viable target for β-catenin-driven cancers.
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Affiliation(s)
- Dipika R. Mohan
- Medical Scientist Training Program, University of Michigan, Ann Arbor, MI, USA
- Doctoral Program in Cancer Biology, University of Michigan, Ann Arbor, MI, USA
| | - Kleiton S. Borges
- Division of Endocrinology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Isabella Finco
- Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor, MI, USA
| | - Christopher R. LaPensee
- Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor, MI, USA
| | - Juilee Rege
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA
| | - April L. Solon
- Department of Cell & Developmental Biology, University of Michigan, Ann Arbor, MI, USA
| | - Donald W. Little
- Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor, MI, USA
| | - Tobias Else
- Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor, MI, USA
| | - Madson Q. Almeida
- Unidade de Suprarrenal, Laboratório de Hormônios e Genética Molecular/LIM42, Hospital das Clínicas, Departamento de Clínica Médica, Disciplina de Endocrinologia, Faculdade de Medicina da Universidade de São Paulo, SP, Brazil
- Instituto do Câncer do Estado de São Paulo (ICESP), Faculdade de Medicina da Universidade de São Paulo, SP, Brazil
| | - Derek Dang
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Laboratory of Brain Tumor Metabolism and Epigenetics, University of Michigan, Ann Arbor, MI, USA
| | - James Haggerty-Skeans
- Medical Scientist Training Program, University of Michigan, Ann Arbor, MI, USA
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Laboratory of Brain Tumor Metabolism and Epigenetics, University of Michigan, Ann Arbor, MI, USA
| | - April A. Apfelbaum
- Doctoral Program in Cancer Biology, University of Michigan, Ann Arbor, MI, USA
- Seattle Children’s Research Institute, University of Washington, Seattle, WA, USA
| | - Michelle Vinco
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Alda Wakamatsu
- Departamento de Patologia, Faculdade de Medicina da Universidade de São Paulo, SP, Brazil
| | - Beatriz M. P. Mariani
- Unidade de Suprarrenal, Laboratório de Hormônios e Genética Molecular/LIM42, Hospital das Clínicas, Departamento de Clínica Médica, Disciplina de Endocrinologia, Faculdade de Medicina da Universidade de São Paulo, SP, Brazil
| | - Larissa Costa Amorim
- Unidade de Suprarrenal, Laboratório de Hormônios e Genética Molecular/LIM42, Hospital das Clínicas, Departamento de Clínica Médica, Disciplina de Endocrinologia, Faculdade de Medicina da Universidade de São Paulo, SP, Brazil
- Instituto do Câncer do Estado de São Paulo (ICESP), Faculdade de Medicina da Universidade de São Paulo, SP, Brazil
| | - Ana Claudia Latronico
- Unidade de Suprarrenal, Laboratório de Hormônios e Genética Molecular/LIM42, Hospital das Clínicas, Departamento de Clínica Médica, Disciplina de Endocrinologia, Faculdade de Medicina da Universidade de São Paulo, SP, Brazil
| | - Berenice B. Mendonca
- Unidade de Suprarrenal, Laboratório de Hormônios e Genética Molecular/LIM42, Hospital das Clínicas, Departamento de Clínica Médica, Disciplina de Endocrinologia, Faculdade de Medicina da Universidade de São Paulo, SP, Brazil
| | | | - Elizabeth R. Lawlor
- Seattle Children’s Research Institute, University of Washington, Seattle, WA, USA
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Ryoma Ohi
- Department of Cell & Developmental Biology, University of Michigan, Ann Arbor, MI, USA
| | - Richard J. Auchus
- Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor, MI, USA
- Lieutenant Colonel Charles S. Kettles Veterans Affairs Medical Center, Ann Arbor, MI, USA
- Department of Pharmacology, University of Michigan, Ann Arbor, MI, USA
| | - William E. Rainey
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA
| | - Suely K. N. Marie
- Laboratório de Biologia Molecular e Celular/LIM15, Departamento de Neurologia, Faculdade de Medicina da Universidade de São Paulo, SP, Brazil
| | - Thomas J. Giordano
- Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor, MI, USA
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Rogel Cancer Center Endocrine Oncology Program, University of Michigan, Ann Arbor, MI, USA
| | - Sriram Venneti
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Laboratory of Brain Tumor Metabolism and Epigenetics, University of Michigan, Ann Arbor, MI, USA
- Department of Pediatrics and Communicable Diseases, University of Michigan, Ann Arbor, MI, USA
| | - Maria Candida Barisson Villares Fragoso
- Unidade de Suprarrenal, Laboratório de Hormônios e Genética Molecular/LIM42, Hospital das Clínicas, Departamento de Clínica Médica, Disciplina de Endocrinologia, Faculdade de Medicina da Universidade de São Paulo, SP, Brazil
- Instituto do Câncer do Estado de São Paulo (ICESP), Faculdade de Medicina da Universidade de São Paulo, SP, Brazil
| | - David T. Breault
- Division of Endocrinology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
- Harvard Stem Cell Institute, Harvard Medical School, Boston, MA, USA
| | - Antonio Marcondes Lerario
- Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor, MI, USA
- Co-senior authors
| | - Gary D. Hammer
- Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor, MI, USA
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA
- Department of Cell & Developmental Biology, University of Michigan, Ann Arbor, MI, USA
- Rogel Cancer Center Endocrine Oncology Program, University of Michigan, Ann Arbor, MI, USA
- Co-senior authors
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32
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Kringel R, Lamszus K, Mohme M. Chimeric Antigen Receptor T Cells in Glioblastoma-Current Concepts and Promising Future. Cells 2023; 12:1770. [PMID: 37443804 PMCID: PMC10340625 DOI: 10.3390/cells12131770] [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: 05/15/2023] [Revised: 06/20/2023] [Accepted: 06/27/2023] [Indexed: 07/15/2023] Open
Abstract
Glioblastoma (GBM) is a highly aggressive primary brain tumor that is largely refractory to treatment and, therefore, invariably relapses. GBM patients have a median overall survival of 15 months and, given this devastating prognosis, there is a high need for therapy improvement. One of the therapeutic approaches currently tested in GBM is chimeric antigen receptor (CAR)-T cell therapy. CAR-T cells are genetically altered T cells that are redirected to eliminate tumor cells in a highly specific manner. There are several challenges to CAR-T cell therapy in solid tumors such as GBM, including restricted trafficking and penetration of tumor tissue, a highly immunosuppressive tumor microenvironment (TME), as well as heterogeneous antigen expression and antigen loss. In addition, CAR-T cells have limitations concerning safety, toxicity, and the manufacturing process. To date, CAR-T cells directed against several target antigens in GBM including interleukin-13 receptor alpha 2 (IL-13Rα2), epidermal growth factor receptor variant III (EGFRvIII), human epidermal growth factor receptor 2 (HER2), and ephrin type-A receptor 2 (EphA2) have been tested in preclinical and clinical studies. These studies demonstrated that CAR-T cell therapy is a feasible option in GBM with at least transient responses and acceptable adverse effects. Further improvements in CAR-T cells regarding their efficacy, flexibility, and safety could render them a promising therapy option in GBM.
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Affiliation(s)
| | | | - Malte Mohme
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany; (R.K.); (K.L.)
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33
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Liu Y, Li XC, Rashidi Mehrabadi F, Schäffer AA, Pratt D, Crawford DR, Malikić S, Molloy EK, Gopalan V, Mount SM, Ruppin E, Aldape KD, Sahinalp SC. Single-cell methylation sequencing data reveal succinct metastatic migration histories and tumor progression models. Genome Res 2023; 33:1089-1100. [PMID: 37316351 PMCID: PMC10538489 DOI: 10.1101/gr.277608.122] [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: 01/12/2023] [Accepted: 06/06/2023] [Indexed: 06/16/2023]
Abstract
Recent studies exploring the impact of methylation in tumor evolution suggest that although the methylation status of many of the CpG sites are preserved across distinct lineages, others are altered as the cancer progresses. Because changes in methylation status of a CpG site may be retained in mitosis, they could be used to infer the progression history of a tumor via single-cell lineage tree reconstruction. In this work, we introduce the first principled distance-based computational method, Sgootr, for inferring a tumor's single-cell methylation lineage tree and for jointly identifying lineage-informative CpG sites that harbor changes in methylation status that are retained along the lineage. We apply Sgootr on single-cell bisulfite-treated whole-genome sequencing data of multiregionally sampled tumor cells from nine metastatic colorectal cancer patients, as well as multiregionally sampled single-cell reduced-representation bisulfite sequencing data from a glioblastoma patient. We show that the tumor lineages constructed reveal a simple model underlying tumor progression and metastatic seeding. A comparison of Sgootr against alternative approaches shows that Sgootr can construct lineage trees with fewer migration events and with more in concordance with the sequential-progression model of tumor evolution, with a running time a fraction of that used in prior studies. Lineage-informative CpG sites identified by Sgootr are in inter-CpG island (CGI) regions, as opposed to intra-CGIs, which have been the main regions of interest in genomic methylation-related analyses.
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Affiliation(s)
- Yuelin Liu
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
- Department of Computer Science, University of Maryland, College Park, Maryland 20742, USA
- Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland 20742, USA
| | - Xuan Cindy Li
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
- Program in Computational Biology, Bioinformatics, and Genomics, University of Maryland, College Park, Maryland 20742, USA
| | - Farid Rashidi Mehrabadi
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
- Department of Computer Science, Indiana University, Bloomington, Indiana 47408, USA
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Alejandro A Schäffer
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Drew Pratt
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - David R Crawford
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
- Program in Computational Biology, Bioinformatics, and Genomics, University of Maryland, College Park, Maryland 20742, USA
- Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, Maryland 20742, USA
| | - Salem Malikić
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Erin K Molloy
- Department of Computer Science, University of Maryland, College Park, Maryland 20742, USA
- Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland 20742, USA
| | - Vishaka Gopalan
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Stephen M Mount
- Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, Maryland 20742, USA
| | - Eytan Ruppin
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Kenneth D Aldape
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - S Cenk Sahinalp
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA;
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34
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Bredel M, Espinosa L, Kim H, Scholtens DM, McElroy JP, Rajbhandari R, Meng W, Kollmeyer TM, Malta TM, Quezada MA, Harsh GR, Lobo-Jarne T, Solé L, Merati A, Nagaraja S, Nair S, White JJ, Thudi NK, Fleming JL, Webb A, Natsume A, Ogawa S, Weber RG, Bertran J, Haque SJ, Hentschel B, Miller CR, Furnari FB, Chan TA, Grosu AL, Weller M, Barnholtz-Sloan JS, Monje M, Noushmehr H, Jenkins RB, Rogers CL, MacDonald DR, Pugh SL, Chakravarti A. Haploinsufficiency of NFKBIA reshapes the epigenome antipodal to the IDH mutation and imparts disease fate in diffuse gliomas. Cell Rep Med 2023; 4:101082. [PMID: 37343523 PMCID: PMC10314122 DOI: 10.1016/j.xcrm.2023.101082] [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: 04/22/2022] [Revised: 11/18/2022] [Accepted: 05/18/2023] [Indexed: 06/23/2023]
Abstract
Genetic alterations help predict the clinical behavior of diffuse gliomas, but some variability remains uncorrelated. Here, we demonstrate that haploinsufficient deletions of chromatin-bound tumor suppressor NFKB inhibitor alpha (NFKBIA) display distinct patterns of occurrence in relation to other genetic markers and are disproportionately present at recurrence. NFKBIA haploinsufficiency is associated with unfavorable patient outcomes, independent of genetic and clinicopathologic predictors. NFKBIA deletions reshape the DNA and histone methylome antipodal to the IDH mutation and induce a transcriptome landscape partly reminiscent of H3K27M mutant pediatric gliomas. In IDH mutant gliomas, NFKBIA deletions are common in tumors with a clinical course similar to that of IDH wild-type tumors. An externally validated nomogram model for estimating individual patient survival in IDH mutant gliomas confirms that NFKBIA deletions predict comparatively brief survival. Thus, NFKBIA haploinsufficiency aligns with distinct epigenome changes, portends a poor prognosis, and should be incorporated into models predicting the disease fate of diffuse gliomas.
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Affiliation(s)
- Markus Bredel
- Department of Radiation Oncology, O'Neal Comprehensive Cancer Center, The University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL 35294, USA.
| | - Lluís Espinosa
- Cancer Research Program, Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Institut Mar d'Investigacions Mèdiques, Hospital del Mar, 08003 Barcelona, Spain
| | - Hyunsoo Kim
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Denise M Scholtens
- Division of Biostatistics-Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Joseph P McElroy
- Center for Biostatistics-Department of Biomedical Informatics, James Cancer Hospital and Solove Research Institute, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Rajani Rajbhandari
- Department of Radiation Oncology, O'Neal Comprehensive Cancer Center, The University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL 35294, USA
| | - Wei Meng
- Department of Radiation Oncology, James Cancer Hospital and Solove Research Institute, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Thomas M Kollmeyer
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Tathiane M Malta
- Department of Neurosurgery, Hermelin Brain Tumor Center, Henry Ford Health System, Detroit, MI 48202, USA
| | - Michael A Quezada
- Department of Neurology & Neurological Sciences and Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Griffith R Harsh
- Department of Neurological Surgery, University of California at Davis School of Medicine, Sacramento, CA 95817, USA
| | - Teresa Lobo-Jarne
- Cancer Research Program, Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Institut Mar d'Investigacions Mèdiques, Hospital del Mar, 08003 Barcelona, Spain
| | - Laura Solé
- Cancer Research Program, Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Institut Mar d'Investigacions Mèdiques, Hospital del Mar, 08003 Barcelona, Spain
| | - Aran Merati
- Department of Radiation Oncology, O'Neal Comprehensive Cancer Center, The University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL 35294, USA
| | - Surya Nagaraja
- Department of Neurology & Neurological Sciences and Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Sindhu Nair
- Department of Radiation Oncology, O'Neal Comprehensive Cancer Center, The University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL 35294, USA
| | - Jaclyn J White
- Department of Neurosurgery, Wake Forest University School of Medicine, Winston-Salem, NC 27103, USA
| | - Nanda K Thudi
- Department of Radiation Oncology, O'Neal Comprehensive Cancer Center, The University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL 35294, USA
| | - Jessica L Fleming
- Department of Radiation Oncology, James Cancer Hospital and Solove Research Institute, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Amy Webb
- Center for Biostatistics-Department of Biomedical Informatics, James Cancer Hospital and Solove Research Institute, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Atsushi Natsume
- Department of Neurosurgery, Nagoya University School of Medicine, Nagoya 464-8601, Japan
| | - Seishi Ogawa
- Department of Pathology and Tumor Biology, Kyoto University, Kyoto 606-8501, Japan
| | - Ruthild G Weber
- Institute for Human Genetics, Hannover Medical School, 30625 Hannover, Germany
| | - Joan Bertran
- Biosciences Department, Faculty of Sciences, Technology, and Engineering. University of Vic-Central University of Catalonia, 08500 Vic, Spain
| | - S Jaharul Haque
- Department of Radiation Oncology, James Cancer Hospital and Solove Research Institute, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Bettina Hentschel
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, 04107 Leipzig, Germany
| | - C Ryan Miller
- Division of Neuropathology-Department of Pathology, O'Neal Comprehensive Cancer Center, The University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL 35294, USA
| | - Frank B Furnari
- Laboratory of Tumor Biology, Division of Regenerative Medicine-Department of Medicine, University of California at San Diego, La Jolla, CA 92093, USA
| | - Timothy A Chan
- Center for Immunotherapy and Precision Immuno-Oncology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Anca-Ligia Grosu
- Department of Radiation Oncology, Comprehensive Cancer Center, University of Freiburg, 79106 Freiburg, Germany
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, 8091 Zurich, Switzerland
| | - Jill S Barnholtz-Sloan
- Division of Cancer Epidemiology and Genetics-National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Michelle Monje
- Department of Neurology & Neurological Sciences and Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Houtan Noushmehr
- Department of Neurosurgery, Hermelin Brain Tumor Center, Henry Ford Health System, Detroit, MI 48202, USA
| | - Robert B Jenkins
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | | | - David R MacDonald
- London Regional Cancer Program, Western University, London, ON N6A 5W9, Canada
| | - Stephanie L Pugh
- NRG Oncology Statistics and Data Management Center, Philadelphia, PA 19103, USA
| | - Arnab Chakravarti
- Department of Radiation Oncology, James Cancer Hospital and Solove Research Institute, The Ohio State University College of Medicine, Columbus, OH 43210, USA
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35
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Van de Sande B, Lee JS, Mutasa-Gottgens E, Naughton B, Bacon W, Manning J, Wang Y, Pollard J, Mendez M, Hill J, Kumar N, Cao X, Chen X, Khaladkar M, Wen J, Leach A, Ferran E. Applications of single-cell RNA sequencing in drug discovery and development. Nat Rev Drug Discov 2023; 22:496-520. [PMID: 37117846 PMCID: PMC10141847 DOI: 10.1038/s41573-023-00688-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/10/2023] [Indexed: 04/30/2023]
Abstract
Single-cell technologies, particularly single-cell RNA sequencing (scRNA-seq) methods, together with associated computational tools and the growing availability of public data resources, are transforming drug discovery and development. New opportunities are emerging in target identification owing to improved disease understanding through cell subtyping, and highly multiplexed functional genomics screens incorporating scRNA-seq are enhancing target credentialling and prioritization. ScRNA-seq is also aiding the selection of relevant preclinical disease models and providing new insights into drug mechanisms of action. In clinical development, scRNA-seq can inform decision-making via improved biomarker identification for patient stratification and more precise monitoring of drug response and disease progression. Here, we illustrate how scRNA-seq methods are being applied in key steps in drug discovery and development, and discuss ongoing challenges for their implementation in the pharmaceutical industry.
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Affiliation(s)
| | | | | | - Bart Naughton
- Computational Neurobiology, Eisai, Cambridge, MA, USA
| | - Wendi Bacon
- EMBL-EBI, Wellcome Genome Campus, Hinxton, UK
- The Open University, Milton Keynes, UK
| | | | - Yong Wang
- Precision Bioinformatics, Prometheus Biosciences, San Diego, CA, USA
| | | | - Melissa Mendez
- Genomic Sciences, GlaxoSmithKline, Collegeville, PA, USA
| | - Jon Hill
- Global Computational Biology and Digital Sciences, Boehringer Ingelheim Pharmaceuticals Inc., Ridgefield, CT, USA
| | - Namit Kumar
- Informatics & Predictive Sciences, Bristol Myers Squibb, San Diego, CA, USA
| | - Xiaohong Cao
- Genomic Research Center, AbbVie Inc., Cambridge, MA, USA
| | - Xiao Chen
- Magnet Biomedicine, Cambridge, MA, USA
| | - Mugdha Khaladkar
- Human Genetics and Computational Biology, GlaxoSmithKline, Collegeville, PA, USA
| | - Ji Wen
- Oncology Research and Development Unit, Pfizer, La Jolla, CA, USA
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36
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Higginbottom SL, Tomaskovic-Crook E, Crook JM. Considerations for modelling diffuse high-grade gliomas and developing clinically relevant therapies. Cancer Metastasis Rev 2023; 42:507-541. [PMID: 37004686 PMCID: PMC10348989 DOI: 10.1007/s10555-023-10100-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 03/16/2023] [Indexed: 04/04/2023]
Abstract
Diffuse high-grade gliomas contain some of the most dangerous human cancers that lack curative treatment options. The recent molecular stratification of gliomas by the World Health Organisation in 2021 is expected to improve outcomes for patients in neuro-oncology through the development of treatments targeted to specific tumour types. Despite this promise, research is hindered by the lack of preclinical modelling platforms capable of recapitulating the heterogeneity and cellular phenotypes of tumours residing in their native human brain microenvironment. The microenvironment provides cues to subsets of glioma cells that influence proliferation, survival, and gene expression, thus altering susceptibility to therapeutic intervention. As such, conventional in vitro cellular models poorly reflect the varied responses to chemotherapy and radiotherapy seen in these diverse cellular states that differ in transcriptional profile and differentiation status. In an effort to improve the relevance of traditional modelling platforms, recent attention has focused on human pluripotent stem cell-based and tissue engineering techniques, such as three-dimensional (3D) bioprinting and microfluidic devices. The proper application of these exciting new technologies with consideration of tumour heterogeneity and microenvironmental interactions holds potential to develop more applicable models and clinically relevant therapies. In doing so, we will have a better chance of translating preclinical research findings to patient populations, thereby addressing the current derisory oncology clinical trial success rate.
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Affiliation(s)
- Sarah L Higginbottom
- Intelligent Polymer Research Institute, AIIM Facility, Innovation Campus, University of Wollongong, Fairy Meadow, NSW, 2519, Australia
- Arto Hardy Family Biomedical Innovation Hub, Chris O'Brien Lifehouse, Camperdown, NSW, 2050, Australia
| | - Eva Tomaskovic-Crook
- Intelligent Polymer Research Institute, AIIM Facility, Innovation Campus, University of Wollongong, Fairy Meadow, NSW, 2519, Australia.
- Arto Hardy Family Biomedical Innovation Hub, Chris O'Brien Lifehouse, Camperdown, NSW, 2050, Australia.
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, 2006, Australia.
| | - Jeremy M Crook
- Intelligent Polymer Research Institute, AIIM Facility, Innovation Campus, University of Wollongong, Fairy Meadow, NSW, 2519, Australia.
- Arto Hardy Family Biomedical Innovation Hub, Chris O'Brien Lifehouse, Camperdown, NSW, 2050, Australia.
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, 2006, Australia.
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37
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Nikolic A, Maule F, Bobyn A, Ellestad K, Paik S, Marhon SA, Mehdipour P, Lun X, Chen HM, Mallard C, Hay AJ, Johnston MJ, Gafuik CJ, Zemp FJ, Shen Y, Ninkovic N, Osz K, Labit E, Berger ND, Brownsey DK, Kelly JJ, Biernaskie J, Dirks PB, Derksen DJ, Jones SJM, Senger DL, Chan JA, Mahoney DJ, De Carvalho DD, Gallo M. macroH2A2 antagonizes epigenetic programs of stemness in glioblastoma. Nat Commun 2023; 14:3062. [PMID: 37244935 DOI: 10.1038/s41467-023-38919-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 05/22/2023] [Indexed: 05/29/2023] Open
Abstract
Self-renewal is a crucial property of glioblastoma cells that is enabled by the choreographed functions of chromatin regulators and transcription factors. Identifying targetable epigenetic mechanisms of self-renewal could therefore represent an important step toward developing effective treatments for this universally lethal cancer. Here we uncover an epigenetic axis of self-renewal mediated by the histone variant macroH2A2. With omics and functional assays deploying patient-derived in vitro and in vivo models, we show that macroH2A2 shapes chromatin accessibility at enhancer elements to antagonize transcriptional programs of self-renewal. macroH2A2 also sensitizes cells to small molecule-mediated cell death via activation of a viral mimicry response. Consistent with these results, our analyses of clinical cohorts indicate that high transcriptional levels of this histone variant are associated with better prognosis of high-grade glioma patients. Our results reveal a targetable epigenetic mechanism of self-renewal controlled by macroH2A2 and suggest additional treatment approaches for glioblastoma patients.
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Affiliation(s)
- Ana Nikolic
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Biochemistry and Molecular Biology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Francesca Maule
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Anna Bobyn
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Biological Sciences, Faculty of Science, University of Calgary, Calgary, AB, Canada
| | - Katrina Ellestad
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Seungil Paik
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | | | - Parinaz Mehdipour
- Princess Margaret Cancer Centre, Toronto, ON, Canada
- Ludwig Institute for Cancer Research, University of Oxford, Oxford, UK
| | - Xueqing Lun
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Huey-Miin Chen
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Claire Mallard
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Alexander J Hay
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Michael J Johnston
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Christopher J Gafuik
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Franz J Zemp
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Yaoqing Shen
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Nicoletta Ninkovic
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Katalin Osz
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Elodie Labit
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Compararive Biology and Experimental Medicine, Faculty of Veterinary Medicine, and Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - N Daniel Berger
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Biochemistry and Molecular Biology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Duncan K Brownsey
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Chemistry, Faculty of Science, University of Calgary, Calgary, AB, Canada
| | - John J Kelly
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Jeff Biernaskie
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Compararive Biology and Experimental Medicine, Faculty of Veterinary Medicine, and Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Peter B Dirks
- Program in Developmental and Stem Cell Biology, Hospital for Sick Children, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Darren J Derksen
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Chemistry, Faculty of Science, University of Calgary, Calgary, AB, Canada
| | - Steven J M Jones
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Donna L Senger
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Jennifer A Chan
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Douglas J Mahoney
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Microbiology, Immunology and Infectious Diseases, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Daniel D De Carvalho
- Princess Margaret Cancer Centre, Toronto, ON, Canada
- Department of Medical Biophysics, Faculty of Science, University of Toronto, Toronto, ON, Canada
| | - Marco Gallo
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
- Department of Biochemistry and Molecular Biology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
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Wei J, Zhang H, Ma X, Li Y, Zhou W, Guo J, Jin T, Hu M. Effect of OR51E1 Single Nucleotide Polymorphisms on Glioma Susceptibility in the Chinese Han Population. Gene 2023; 875:147489. [PMID: 37207826 DOI: 10.1016/j.gene.2023.147489] [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: 03/23/2023] [Revised: 04/27/2023] [Accepted: 05/12/2023] [Indexed: 05/21/2023]
Abstract
BACKGROUND Glioma is one of the common primary intracranial tumors, which is heterogeneous among individuals with a low cure rate. Our study aimed to investigate the association between single nucleotide polymorphisms (SNPs) of the OR51E1 gene and glioma susceptibility in the Chinese Han population. METHODS A total of six SNPs on OR51E1 in 1,026 subjects (526 cases and 500 controls) were genotyped by MassARRAY iPLEX GOLD assay. The association between these SNPs and glioma susceptibility was analyzed using logistic regression, and odds ratios (ORs) and 95% confidence intervals (CIs) were also calculated. The multifactor dimensionality reduction (MDR) method was applied to detect "SNP-SNP" interactions. RESULTS In the overall sample, polymorphisms rs10768148, rs7102992, and rs10500608 were identified to be associated with glioma risk. In the stratified analysis based on gender, only polymorphism rs10768148 was observed to be associated with the risk of glioma. In the age-stratified analysis, rs7102992, rs74052483, and rs10500609 contributed to the risk of glioma in subjects aged > 40 years. And polymorphisms rs10768148 and rs7102992 were associated with the risk of glioma in subjects aged ≤ 40 years and subjects with astrocytoma. In addition, a strong synergistic relationship between rs74052483 and rs10768148, and a strong redundant relationship between rs7102992 and rs10768148 were identified in the study. CONCLUSIONS This study demonstrated the association of OR51E1 polymorphisms with glioma susceptibility, providing a basis for assessing glioma risk-associated variants in the Chinese Han population.
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Affiliation(s)
- Jie Wei
- The College of Life Sciences, Northwest University, Xi'an 710069, China
| | - Huan Zhang
- The College of Life Sciences, Northwest University, Xi'an 710069, China
| | - Xiaoya Ma
- The College of Life Sciences, Northwest University, Xi'an 710069, China
| | - Yujie Li
- The College of Life Sciences, Northwest University, Xi'an 710069, China
| | - Wenqian Zhou
- The College of Life Sciences, Northwest University, Xi'an 710069, China
| | - Jinping Guo
- The College of Life Sciences, Northwest University, Xi'an 710069, China
| | - Tianbo Jin
- School of Medicine, Northwest University, Xi'an 710069, China
| | - Mingjun Hu
- School of Medicine, Northwest University, Xi'an 710069, China; Department of Neurosurgery, Xi'an Changan District Hospital, Xi'an 710199, China.
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Pine AR, Cirigliano SM, Singhania R, Nicholson J, da Silva B, Leslie CS, Fine HA. Microenvironment-Driven Dynamic Chromatin Changes in Glioblastoma Recapitulate Early Neural Development at Single-Cell Resolution. Cancer Res 2023; 83:1581-1595. [PMID: 36877162 PMCID: PMC11022245 DOI: 10.1158/0008-5472.can-22-2872] [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: 09/08/2022] [Revised: 01/11/2023] [Accepted: 03/02/2023] [Indexed: 03/07/2023]
Abstract
The tumor microenvironment is necessary for recapitulating the intratumoral heterogeneity and cell state plasticity found in human primary glioblastoma (GBM). Conventional models do not accurately recapitulate the spectrum of GBM cellular states, hindering elucidation of the underlying transcriptional regulation of these states. Using our glioblastoma cerebral organoid model, we profiled the chromatin accessibility of 28,040 single cells in five patient-derived glioma stem cell lines. Integration of paired epigenomes and transcriptomes within the context of tumor-normal host cell interactions was used to probe the gene-regulatory networks underlying individual GBM cellular states in a way not readily possible in other in vitro models. These analyses identified the epigenetic underpinnings of GBM cellular states and characterized dynamic chromatin changes reminiscent of early neural development that underlie GBM cell state transitions. Despite large differences between tumors, a shared cellular compartment made up of neural progenitor-like cells and outer radial glia-like cells was observed. Together, these results shed light on the transcriptional regulation program in GBM and offer novel therapeutic targets across a broad range of genetically heterogenous GBMs. SIGNIFICANCE Single-cell analyses elucidate the chromatin landscape and transcriptional regulation of glioblastoma cellular states and identify a radial glia-like population, providing potential targets to disrupt cell states and improve therapeutic efficacy.
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Affiliation(s)
- Allison R. Pine
- Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Tri-Institutional Program in Computational Biology and Medicine, New York, NY 10021, USA
| | | | - Richa Singhania
- Department of Neurology, Weill Cornell Medicine, New York, NY, 10021 USA
| | - James Nicholson
- Department of Neurology, Weill Cornell Medicine, New York, NY, 10021 USA
| | - Bárbara da Silva
- Department of Neurology, Weill Cornell Medicine, New York, NY, 10021 USA
| | - Christina S. Leslie
- Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Howard A. Fine
- Department of Neurology, Weill Cornell Medicine, New York, NY, 10021 USA
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Murdaugh RL, Anastas JN. Applying single cell multi-omic analyses to understand treatment resistance in pediatric high grade glioma. Front Pharmacol 2023; 14:1002296. [PMID: 37205910 PMCID: PMC10191214 DOI: 10.3389/fphar.2023.1002296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 04/20/2023] [Indexed: 05/21/2023] Open
Abstract
Despite improvements in cancer patient outcomes seen in the past decade, tumor resistance to therapy remains a major impediment to achieving durable clinical responses. Intratumoral heterogeneity related to genetic, epigenetic, transcriptomic, proteomic, and metabolic differences between individual cancer cells has emerged as a driver of therapeutic resistance. This cell to cell heterogeneity can be assessed using single cell profiling technologies that enable the identification of tumor cell clones that exhibit similar defining features like specific mutations or patterns of DNA methylation. Single cell profiling of tumors before and after treatment can generate new insights into the cancer cell characteristics that confer therapeutic resistance by identifying intrinsically resistant sub-populations that survive treatment and by describing new cellular features that emerge post-treatment due to tumor cell evolution. Integrative, single cell analytical approaches have already proven advantageous in studies characterizing treatment-resistant clones in cancers where pre- and post-treatment patient samples are readily available, such as leukemia. In contrast, little is known about other cancer subtypes like pediatric high grade glioma, a class of heterogeneous, malignant brain tumors in children that rapidly develop resistance to multiple therapeutic modalities, including chemotherapy, immunotherapy, and radiation. Leveraging single cell multi-omic technologies to analyze naïve and therapy-resistant glioma may lead to the discovery of novel strategies to overcome treatment resistance in brain tumors with dismal clinical outcomes. In this review, we explore the potential for single cell multi-omic analyses to reveal mechanisms of glioma resistance to therapy and discuss opportunities to apply these approaches to improve long-term therapeutic response in pediatric high grade glioma and other brain tumors with limited treatment options.
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Affiliation(s)
- Rebecca L. Murdaugh
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States
- Program in Cell and Gene Therapy, Baylor College of Medicine, Houston, TX, United States
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, United States
| | - Jamie N. Anastas
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States
- Program in Cell and Gene Therapy, Baylor College of Medicine, Houston, TX, United States
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, United States
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El Khoury LY, Pan X, Hlady RA, Wagner RT, Shaikh S, Wang L, Humphreys MR, Castle EP, Stanton ML, Ho TH, Robertson KD. Extensive intratumor regional epigenetic heterogeneity in clear cell renal cell carcinoma targets kidney enhancers and is associated with poor outcome. Clin Epigenetics 2023; 15:71. [PMID: 37120552 PMCID: PMC10149001 DOI: 10.1186/s13148-023-01471-3] [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: 12/09/2022] [Accepted: 03/21/2023] [Indexed: 05/01/2023] Open
Abstract
BACKGROUND Clear cell renal cell cancer (ccRCC), the 8th leading cause of cancer-related death in the US, is challenging to treat due to high level intratumoral heterogeneity (ITH) and the paucity of druggable driver mutations. CcRCC is unusual for its high frequency of epigenetic regulator mutations, such as the SETD2 histone H3 lysine 36 trimethylase (H3K36me3), and low frequency of traditional cancer driver mutations. In this work, we examined epigenetic level ITH and defined its relationships with pathologic features, aspects of tumor biology, and SETD2 mutations. RESULTS A multi-region sampling approach coupled with EPIC DNA methylation arrays was conducted on a cohort of normal kidney and ccRCC. ITH was assessed using DNA methylation (5mC) and CNV-based entropy and Euclidian distances. We found elevated 5mC heterogeneity and entropy in ccRCC relative to normal kidney. Variable CpGs are highly enriched in enhancer regions. Using intra-class correlation coefficient analysis, we identified CpGs that segregate tumor regions according to clinical phenotypes related to tumor aggressiveness. SETD2 wild-type tumors overall possess greater 5mC and copy number ITH than SETD2 mutant tumor regions, suggesting SETD2 loss contributes to a distinct epigenome. Finally, coupling our regional data with TCGA, we identified a 5mC signature that links regions within a primary tumor with metastatic potential. CONCLUSION Taken together, our results reveal marked levels of epigenetic ITH in ccRCC that are linked to clinically relevant tumor phenotypes and could translate into novel epigenetic biomarkers.
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Affiliation(s)
- Louis Y El Khoury
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - Xiaoyu Pan
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - Ryan A Hlady
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - Ryan T Wagner
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - Shafiq Shaikh
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
- Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN, USA
| | - Liguo Wang
- Division of Biomedical Statistics and Informatics, Department of Health Science Research, Mayo Clinic, Rochester, MN, USA
| | | | - Erik P Castle
- Department of Urology, Tulane University School of Medicine, New Orleans, LA, USA
| | - Melissa L Stanton
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Phoenix, AZ, USA
| | - Thai H Ho
- Division of Hematology and Medical Oncology, Mayo Clinic Arizona, Scottsdale, AZ, USA.
| | - Keith D Robertson
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA.
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Douglas C, Lomeli N, Vu T, Pham J, Bota DA. LonP1 Drives Proneural Mesenchymal Transition in IDH1-R132H Diffuse Glioma. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.13.536817. [PMID: 37131765 PMCID: PMC10153221 DOI: 10.1101/2023.04.13.536817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Malignant astroctyoma and glioblastoma are diffuse CNS tumors that have markedly similar features, including microvascular proliferation and necrosis, and the latter presents higher grade and poorer survival. The Isocitrate dehydrogenase 1/2 (IDH) mutation further predicts improved survival and is present in oligodendroglioma and astrocytoma. The latter are more prevalent in younger populations with a median age of 37 years at diagnosis as compared to glioblastoma with a median age of 641,2. These tumors frequently have co-occurring ATRX and/or TP53 mutations (Brat et al., 2021). The IDH mutation is known to cause dysregulation of the hypoxia response broadly in CNS tumors and subsequent reduction in both tumor growth and treatment resistance. The frequency of tumor recurrence is high for diffuse CNS tumors. Understanding the mechanism and potential molecular targets enhancing treatment resistance and local invasion in IDH mutant diffuse glioma is necessary for developing new treatment strategies for better tumor control and improving overall survival. Recent evidence highlights the importance of local foci in IDH mutant glioma with an accelerated stress response as responsible for recurrence in these tumors. Here, we demonstrate that LonP1 drives NRF2 and subsequent proneural mesenchymal transition interdependent with the IDH mutation in response to stress and other tumor microenvironment cues. Our findings provide further evidence that targeting LonP1 may be a crucial strategy for improving the standard-of-care treatment in IDH mutant diffuse astrocytoma.
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Affiliation(s)
- Christopher Douglas
- Department of Pathology & Laboratory Medicine, University of California Irvine, Irvine, CA, USA (C.D., D.A.B.)
| | - Naomi Lomeli
- Department of Neurology, University of California Irvine, Irvine, CA, USA (K.D., N.L., T.V., J.P)
| | - Thao Vu
- Department of Neurology, University of California Irvine, Irvine, CA, USA (K.D., N.L., T.V., J.P)
| | - James Pham
- Department of Neurology, University of California Irvine, Irvine, CA, USA (K.D., N.L., T.V., J.P)
| | - Daniela A. Bota
- Department of Pathology & Laboratory Medicine, University of California Irvine, Irvine, CA, USA (C.D., D.A.B.)
- Department of Neurology, University of California Irvine, Irvine, CA, USA (K.D., N.L., T.V., J.P)
- Chao Family Comprehensive Cancer Center, University of California Irvine, Irvine, CA, USA (D.A.B.)
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Pillai M, Hojel E, Jolly MK, Goyal Y. Unraveling non-genetic heterogeneity in cancer with dynamical models and computational tools. NATURE COMPUTATIONAL SCIENCE 2023; 3:301-313. [PMID: 38177938 DOI: 10.1038/s43588-023-00427-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 03/03/2023] [Indexed: 01/06/2024]
Abstract
Individual cells within an otherwise genetically homogenous population constantly undergo fluctuations in their molecular state, giving rise to non-genetic heterogeneity. Such diversity is being increasingly implicated in cancer therapy resistance and metastasis. Identifying the origins of non-genetic heterogeneity is therefore crucial for making clinical breakthroughs. We discuss with examples how dynamical models and computational tools have provided critical multiscale insights into the nature and consequences of non-genetic heterogeneity in cancer. We demonstrate how mechanistic modeling has been pivotal in establishing key concepts underlying non-genetic diversity at various biological scales, from population dynamics to gene regulatory networks. We discuss advances in single-cell longitudinal profiling techniques to reveal patterns of non-genetic heterogeneity, highlighting the ongoing efforts and challenges in statistical frameworks to robustly interpret such multimodal datasets. Moving forward, we stress the need for data-driven statistical and mechanistically motivated dynamical frameworks to come together to develop predictive cancer models and inform therapeutic strategies.
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Affiliation(s)
- Maalavika Pillai
- Department of Cell and Developmental Biology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Center for Synthetic Biology, Northwestern University, Chicago, IL, USA
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Centre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore, India
| | - Emilia Hojel
- Department of Cell and Developmental Biology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Center for Synthetic Biology, Northwestern University, Chicago, IL, USA
- Department of Biomedical Engineering, Northwestern University McCormick School of Engineering, Evanston, IL, USA
| | - Mohit Kumar Jolly
- Centre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore, India.
| | - Yogesh Goyal
- Department of Cell and Developmental Biology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
- Center for Synthetic Biology, Northwestern University, Chicago, IL, USA.
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
- Department of Biomedical Engineering, Northwestern University McCormick School of Engineering, Evanston, IL, USA.
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Walentynowicz KA, Engelhardt D, Cristea S, Yadav S, Onubogu U, Salatino R, Maerken M, Vincentelli C, Jhaveri A, Geisberg J, McDonald TO, Michor F, Janiszewska M. Single-cell heterogeneity of EGFR and CDK4 co-amplification is linked to immune infiltration in glioblastoma. Cell Rep 2023; 42:112235. [PMID: 36920905 PMCID: PMC10114292 DOI: 10.1016/j.celrep.2023.112235] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 12/20/2022] [Accepted: 02/23/2023] [Indexed: 03/15/2023] Open
Abstract
Glioblastoma (GBM) is the most aggressive brain tumor, with a median survival of ∼15 months. Targeted approaches have not been successful in this tumor type due to the large extent of intratumor heterogeneity. Mosaic amplification of oncogenes suggests that multiple genetically distinct clones are present in each tumor. To uncover the relationships between genetically diverse subpopulations of GBM cells and their native tumor microenvironment, we employ highly multiplexed spatial protein profiling coupled with single-cell spatial mapping of fluorescence in situ hybridization (FISH) for EGFR, CDK4, and PDGFRA. Single-cell FISH analysis of a total of 35,843 single nuclei reveals that tumors in which amplifications of EGFR and CDK4 more frequently co-occur in the same cell exhibit higher infiltration of CD163+ immunosuppressive macrophages. Our results suggest that high-throughput assessment of genomic alterations at the single-cell level could provide a measure for predicting the immune state of GBM.
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Affiliation(s)
- Kacper A Walentynowicz
- Department of Molecular Medicine, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation and Technologies, Jupiter, FL, USA; Department of Molecular Medicine, Scripps Research, Jupiter, FL, USA
| | - Dalit Engelhardt
- Center for Cancer Evolution, Dana-Farber Cancer Institute, Boston, MA, USA; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Simona Cristea
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA; Department of Medical Oncology, Harvard Medical School, Boston, MA, USA
| | - Shreya Yadav
- Department of Molecular Medicine, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation and Technologies, Jupiter, FL, USA; Department of Molecular Medicine, Scripps Research, Jupiter, FL, USA
| | - Ugoma Onubogu
- Department of Molecular Medicine, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation and Technologies, Jupiter, FL, USA; Department of Molecular Medicine, Scripps Research, Jupiter, FL, USA; The Skaggs Graduate School of Chemical and Biological Sciences, The Scripps Research Institute, La Jolla, CA, USA
| | - Roberto Salatino
- Department of Molecular Medicine, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation and Technologies, Jupiter, FL, USA; Department of Molecular Medicine, Scripps Research, Jupiter, FL, USA; The Skaggs Graduate School of Chemical and Biological Sciences, The Scripps Research Institute, La Jolla, CA, USA
| | - Melanie Maerken
- Department of Molecular Medicine, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation and Technologies, Jupiter, FL, USA; Department of Molecular Medicine, Scripps Research, Jupiter, FL, USA
| | | | - Aashna Jhaveri
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Jacob Geisberg
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Thomas O McDonald
- Center for Cancer Evolution, Dana-Farber Cancer Institute, Boston, MA, USA; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Franziska Michor
- Center for Cancer Evolution, Dana-Farber Cancer Institute, Boston, MA, USA; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA; The Broad Institute of MIT and Harvard, Cambridge, MA, USA; The Ludwig Center at Harvard, Boston, MA, USA.
| | - Michalina Janiszewska
- Department of Molecular Medicine, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation and Technologies, Jupiter, FL, USA; Department of Molecular Medicine, Scripps Research, Jupiter, FL, USA; The Skaggs Graduate School of Chemical and Biological Sciences, The Scripps Research Institute, La Jolla, CA, USA.
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45
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Neuronal and tumourigenic boundaries of glioblastoma plasticity. Trends Cancer 2023; 9:223-236. [PMID: 36460606 DOI: 10.1016/j.trecan.2022.10.010] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 10/19/2022] [Accepted: 10/21/2022] [Indexed: 12/03/2022]
Abstract
Glioblastoma (GBM) remains the most lethal primary brain cancer largely due to recurrence of treatment-resistant disease. Current therapies are ultimately ineffective as GBM tumour cells adapt their identity to escape treatment. Recent advances in single-cell epigenetics and transcriptomics highlight heterogeneous cell populations in GBM tumours originating from unique cancerous genetic aberrations. However, they also suggest that tumour cells conserve molecular properties of parent neuronal cells, with their permissive epigenetic profiles enabling them to morph along a finite number of reprogramming routes to evade treatment. Here, we review the known tumourigenic, neurodevelopmental and brain-injury boundaries of GBM plasticity, and propose that effective treatment of GBM requires the addition of therapeutics that restrain GBM plasticity.
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White K, Connor K, Meylan M, Bougoüin A, Salvucci M, Bielle F, O'Farrell AC, Sweeney K, Weng L, Bergers G, Dicker P, Ashley DM, Lipp ES, Low JT, Zhao J, Wen P, Prins R, Verreault M, Idbaih A, Biswas A, Prehn JHM, Lambrechts D, Arijs I, Lodi F, Dilcan G, Lamfers M, Leenstra S, Fabro F, Ntafoulis I, Kros JM, Cryan J, Brett F, Quissac E, Beausang A, MacNally S, O'Halloran P, Clerkin J, Bacon O, Kremer A, Chi Yen RT, Varn FS, Verhaak RGW, Sautès-Fridman C, Fridman WH, Byrne AT. Identification, validation and biological characterisation of novel glioblastoma tumour microenvironment subtypes: implications for precision immunotherapy. Ann Oncol 2023; 34:300-314. [PMID: 36494005 DOI: 10.1016/j.annonc.2022.11.008] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 11/14/2022] [Accepted: 11/15/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND New precision medicine therapies are urgently required for glioblastoma (GBM). However, to date, efforts to subtype patients based on molecular profiles have failed to direct treatment strategies. We hypothesised that interrogation of the GBM tumour microenvironment (TME) and identification of novel TME-specific subtypes could inform new precision immunotherapy treatment strategies. MATERIALS AND METHODS A refined and validated microenvironment cell population (MCP) counter method was applied to >800 GBM patient tumours (GBM-MCP-counter). Specifically, partition around medoids (PAM) clustering of GBM-MCP-counter scores in the GLIOTRAIN discovery cohort identified three novel patient clusters, uniquely characterised by TME composition, functional orientation markers and immune checkpoint proteins. Validation was carried out in three independent GBM-RNA-seq datasets. Neoantigen, mutational and gene ontology analysis identified mutations and uniquely altered pathways across subtypes. The longitudinal Glioma Longitudinal AnalySiS (GLASS) cohort and three immunotherapy clinical trial cohorts [treatment with neoadjuvant/adjuvant anti-programmed cell death protein 1 (PD-1) or PSVRIPO] were further interrogated to assess subtype alterations between primary and recurrent tumours and to assess the utility of TME classifiers as immunotherapy biomarkers. RESULTS TMEHigh tumours (30%) displayed elevated lymphocyte, myeloid cell immune checkpoint, programmed cell death protein 1 (PD-1) and cytotoxic T-lymphocyte-associated protein 4 transcripts. TMEHigh/mesenchymal+ patients featured tertiary lymphoid structures. TMEMed (46%) tumours were enriched for endothelial cell gene expression profiles and displayed heterogeneous immune populations. TMELow (24%) tumours were manifest as an 'immune-desert' group. TME subtype transitions upon recurrence were identified in the longitudinal GLASS cohort. Assessment of GBM immunotherapy trial datasets revealed that TMEHigh patients receiving neoadjuvant anti-PD-1 had significantly increased overall survival (P = 0.04). Moreover, TMEHigh patients treated with adjuvant anti-PD-1 or oncolytic virus (PVSRIPO) showed a trend towards improved survival. CONCLUSIONS We have established a novel TME-based classification system for application in intracranial malignancies. TME subtypes represent canonical 'termini a quo' (starting points) to support an improved precision immunotherapy treatment approach.
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Affiliation(s)
- K White
- Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - K Connor
- Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - M Meylan
- Centre de Recherche des Cordeliers, INSERM, Sorbonne Université, USPC, Université de Paris, Paris, France
| | - A Bougoüin
- Centre de Recherche des Cordeliers, INSERM, Sorbonne Université, USPC, Université de Paris, Paris, France
| | - M Salvucci
- Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - F Bielle
- Paris Brain Institute (ICM), CNRS UMR 7225, Inserm U 1127, UPMC-P6 UMR S 1127, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - A C O'Farrell
- Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - K Sweeney
- National Centre of Neurosurgery, Beaumont Hospital, Dublin, Ireland
| | - L Weng
- VIB-KU Leuven Center for Cancer Biology, Department of Oncology, Leuven, Belgium
| | - G Bergers
- VIB-KU Leuven Center for Cancer Biology, Department of Oncology, Leuven, Belgium
| | - P Dicker
- Epidemiology & Public Health, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - D M Ashley
- Duke Cancer Institute, Duke University, Durham, USA
| | - E S Lipp
- Duke Cancer Institute, Duke University, Durham, USA
| | - J T Low
- Duke Cancer Institute, Duke University, Durham, USA
| | - J Zhao
- Department of Systems Biology at Columbia University, New York, USA
| | - P Wen
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - R Prins
- Department of Medical and Molecular Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, USA
| | - M Verreault
- Paris Brain Institute (ICM), CNRS UMR 7225, Inserm U 1127, UPMC-P6 UMR S 1127, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - A Idbaih
- Sorbonne Université, Inserm, CNRS, UMR S 1127, Paris Brain Institute (ICM), AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière-Charles Foix, Paris, France
| | - A Biswas
- Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - J H M Prehn
- Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - D Lambrechts
- Laboratory for Translational Genetics, Department of Human Genetics, Leuven, Belgium; VIB Center for Cancer Biology, Leuven, Belgium
| | - I Arijs
- Laboratory for Translational Genetics, Department of Human Genetics, Leuven, Belgium; VIB Center for Cancer Biology, Leuven, Belgium
| | - F Lodi
- Laboratory for Translational Genetics, Department of Human Genetics, Leuven, Belgium; VIB Center for Cancer Biology, Leuven, Belgium
| | - G Dilcan
- Laboratory for Translational Genetics, Department of Human Genetics, Leuven, Belgium; VIB Center for Cancer Biology, Leuven, Belgium
| | - M Lamfers
- Department of Neurosurgery, Brain Tumor Center, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - S Leenstra
- Department of Neurosurgery, Brain Tumor Center, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - F Fabro
- Department of Neurosurgery, Brain Tumor Center, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - I Ntafoulis
- Department of Neurosurgery, Brain Tumor Center, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - J M Kros
- Department of Pathology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - J Cryan
- Department of Neuropathology, Beaumont Hospital, Dublin, Ireland
| | - F Brett
- Department of Neuropathology, Beaumont Hospital, Dublin, Ireland
| | - E Quissac
- Paris Brain Institute (ICM), CNRS UMR 7225, Inserm U 1127, UPMC-P6 UMR S 1127, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - A Beausang
- Department of Neuropathology, Beaumont Hospital, Dublin, Ireland
| | - S MacNally
- National Centre of Neurosurgery, Beaumont Hospital, Dublin, Ireland
| | - P O'Halloran
- National Centre of Neurosurgery, Beaumont Hospital, Dublin, Ireland
| | - J Clerkin
- National Centre of Neurosurgery, Beaumont Hospital, Dublin, Ireland
| | - O Bacon
- Department of Neuropathology, Beaumont Hospital, Dublin, Ireland
| | - A Kremer
- Information Technology for Translational Medicine (ITTM), Luxembourg, Luxembourg
| | - R T Chi Yen
- Information Technology for Translational Medicine (ITTM), Luxembourg, Luxembourg
| | - F S Varn
- The Jackson Laboratory for Genomic Medicine, Farmington, USA
| | - R G W Verhaak
- The Jackson Laboratory for Genomic Medicine, Farmington, USA; Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam University Medical Centers, VU University Medical Center, Amsterdam, the Netherlands
| | - C Sautès-Fridman
- Centre de Recherche des Cordeliers, INSERM, Sorbonne Université, USPC, Université de Paris, Paris, France
| | - W H Fridman
- Centre de Recherche des Cordeliers, INSERM, Sorbonne Université, USPC, Université de Paris, Paris, France
| | - A T Byrne
- Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, Dublin, Ireland.
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Platten M, Grassl N. Vaccines Targeting Gliomas: Antigens Matter. J Clin Oncol 2023; 41:1466-1469. [PMID: 36623232 DOI: 10.1200/jco.22.02616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Affiliation(s)
- Michael Platten
- DKTK CCU Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Neurology, Medical Faculty Mannheim, MCTN, Heidelberg University, Mannheim, Germany.,Helmholtz Institute for Translational Oncology (HI-TRON) Mainz, German Cancer Research Center, Mainz, Germany.,DKFZ-Hector Cancer Institute at University Medical Center Mannheim, Mannheim, Germany
| | - Niklas Grassl
- DKTK CCU Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Neurology, Medical Faculty Mannheim, MCTN, Heidelberg University, Mannheim, Germany.,DKFZ-Hector Cancer Institute at University Medical Center Mannheim, Mannheim, Germany
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48
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De Falco A, Caruso F, Su XD, Iavarone A, Ceccarelli M. A variational algorithm to detect the clonal copy number substructure of tumors from scRNA-seq data. Nat Commun 2023; 14:1074. [PMID: 36841879 PMCID: PMC9968345 DOI: 10.1038/s41467-023-36790-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 02/16/2023] [Indexed: 02/27/2023] Open
Abstract
Single-cell RNA sequencing is the reference technology to characterize the composition of the tumor microenvironment and to study tumor heterogeneity at high resolution. Here we report Single CEll Variational ANeuploidy analysis (SCEVAN), a fast variational algorithm for the deconvolution of the clonal substructure of tumors from single-cell RNA-seq data. It uses a multichannel segmentation algorithm exploiting the assumption that all the cells in a given copy number clone share the same breakpoints. Thus, the smoothed expression profile of every individual cell constitutes part of the evidence of the copy number profile in each subclone. SCEVAN can automatically and accurately discriminate between malignant and non-malignant cells, resulting in a practical framework to analyze tumors and their microenvironment. We apply SCEVAN to datasets encompassing 106 samples and 93,322 cells from different tumor types and technologies. We demonstrate its application to characterize the intratumor heterogeneity and geographic evolution of malignant brain tumors.
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Affiliation(s)
- Antonio De Falco
- Department of Electrical Engineering and Information Technology (DIETI), University of Naples 'Federico II', 80128, Naples, Italy.,BIOGEM Institute of Molecular Biology and Genetics, 83031, Ariano Irpino, Italy
| | - Francesca Caruso
- Department of Electrical Engineering and Information Technology (DIETI), University of Naples 'Federico II', 80128, Naples, Italy.,BIOGEM Institute of Molecular Biology and Genetics, 83031, Ariano Irpino, Italy
| | - Xiao-Dong Su
- Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking University, 5 Yiheyuan Road, Haidian District, 100871, Beijing, China
| | - Antonio Iavarone
- Sylvester Comprehensive Cancer Center, University of Miami, Miller School of Medicine, Miami, FL, USA.,Department of Neurological Surgery, University of Miami, Miller School of Medicine, Miami, FL, USA
| | - Michele Ceccarelli
- Department of Electrical Engineering and Information Technology (DIETI), University of Naples 'Federico II', 80128, Naples, Italy. .,BIOGEM Institute of Molecular Biology and Genetics, 83031, Ariano Irpino, Italy.
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Feinberg AP, Levchenko A. Epigenetics as a mediator of plasticity in cancer. Science 2023; 379:eaaw3835. [PMID: 36758093 PMCID: PMC10249049 DOI: 10.1126/science.aaw3835] [Citation(s) in RCA: 41] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Accepted: 12/22/2022] [Indexed: 02/11/2023]
Abstract
The concept of an epigenetic landscape describing potential cellular fates arising from pluripotent cells, first advanced by Conrad Waddington, has evolved in light of experiments showing nondeterministic outcomes of regulatory processes and mathematical methods for quantifying stochasticity. In this Review, we discuss modern approaches to epigenetic and gene regulation landscapes and the associated ideas of entropy and attractor states, illustrating how their definitions are both more precise and relevant to understanding cancer etiology and the plasticity of cancerous states. We address the interplay between different types of regulatory landscapes and how their changes underlie cancer progression. We also consider the roles of cellular aging and intrinsic and extrinsic stimuli in modulating cellular states and how landscape alterations can be quantitatively mapped onto phenotypic outcomes and thereby used in therapy development.
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Affiliation(s)
- Andrew P Feinberg
- Center for Epigenetics, Johns Hopkins University Schools of Medicine, Biomedical Engineering, and Public Health, Baltimore, MD 21205, USA
| | - Andre Levchenko
- Yale Systems Biology Institute and Department of Biomedical Engineering, Yale University, West Haven, CT 06516, USA
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50
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Olsen TR, Talla P, Furnari J, Bruce JN, Canoll P, Zha S, Sims PA. Scalable co-sequencing of RNA and DNA from individual nuclei. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.09.527940. [PMID: 36798358 PMCID: PMC9934633 DOI: 10.1101/2023.02.09.527940] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
Abstract
The ideal technology for directly investigating the relationship between genotype and phenotype would analyze both RNA and DNA genome-wide and with single-cell resolution. However, existing tools lack the throughput required for comprehensive analysis of complex tumors and tissues. We introduce a highly scalable method for jointly profiling DNA and expression following nucleosome depletion (DEFND-seq). In DEFND-seq, nuclei are nucleosome-depleted, tagmented, and separated into individual droplets for mRNA and genomic DNA barcoding. Once nuclei have been depleted of nucleosomes, subsequent steps can be performed using the widely available 10x Genomics droplet microfluidic technology and commercial kits without experimental modification. We demonstrate the production of high-complexity mRNA and gDNA sequencing libraries from thousands of individual nuclei from both cell lines and archived surgical specimens for associating gene expression phenotypes with both copy number and single nucleotide variants.
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Affiliation(s)
- Timothy R Olsen
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032
| | - Pranay Talla
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032
| | - Julia Furnari
- Department of Neurological Surgery, Columbia University Irving Medical Center, New York, NY 10032
| | - Jeffrey N Bruce
- Department of Neurological Surgery, Columbia University Irving Medical Center, New York, NY 10032
| | - Peter Canoll
- Department of Pathology & Cell Biology, Columbia University Irving Medical Center, New York, NY, 10032
| | - Shan Zha
- Department of Pathology & Cell Biology, Columbia University Irving Medical Center, New York, NY, 10032
- Institute for Cancer Genetics, Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, 10032
| | - Peter A Sims
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032
- Sulzberger Columbia Genome Center, Columbia University Irving Medical Center, New York, NY, 10032
- Department of Biochemistry & Molecular Biophysics, Columbia University Irving Medical Center, New York, NY, 10032
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