1
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Sathyakumar S, Martinez M, Perreault S, Legault G, Bouffet E, Jabado N, Larouche V, Renzi S. Advances in pediatric gliomas: from molecular characterization to personalized treatments. Eur J Pediatr 2024; 183:2549-2562. [PMID: 38558313 DOI: 10.1007/s00431-024-05540-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Revised: 03/12/2024] [Accepted: 03/21/2024] [Indexed: 04/04/2024]
Abstract
Pediatric gliomas, consisting of both pediatric low-grade (pLGG) and high-grade gliomas (pHGG), are the most frequently occurring brain tumors in children. Over the last decade, several milestone advancements in treatments have been achieved as a result of stronger understanding of the molecular biology behind these tumors. This review provides an overview of pLGG and pHGG highlighting their clinical presentation, molecular characteristics, and latest advancements in therapeutic treatments. Conclusion: The increasing understanding of the molecular biology characterizing pediatric low and high grade gliomas has revolutionized treatment options for these patients, especially in pLGG. The implementation of next generation sequencing techniques for these tumors is crucial in obtaining less toxic and more efficacious treatments. What is Known: • Pediatric Gliomas are the most common brain tumour in children. They are responsible for significant morbidity and mortality in this population. What is New: • Over the last two decades, there has been a significant increase in our global understanding of the molecular background of pediatric low and high grade gliomas. • The implementation of next generation sequencing techniques for these tumors is crucial in obtaining less toxic and more efficacious treatments, with the ultimate goal of improving both the survival and the quality of life of these patients.
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Affiliation(s)
| | - Matthew Martinez
- Department of Social Sciences, University of Ottawa, Ottawa, Ontario, Canada
| | - Sébastien Perreault
- Division of Pediatric Neurology, Department of Neurosciences, CHU Sainte-Justine, Montreal, Québec, Canada
| | - Geneviève Legault
- Department of Pediatrics, Division of Neurology, Montreal Children's Hospital - McGill University Health Center, Montreal, Québec, Canada
- The Research Institute of the McGill University Health Centre, Montreal, Québec, Canada
| | - Eric Bouffet
- The Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, Ontario, Canada
- Division of Haematology/Oncology, Department of Pediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Nada Jabado
- Division of Experimental Medicine, Montreal Children's Hospital, McGill University and McGill University Health Centre, Montreal, Québec, Canada
- Department of Pediatrics, McGill University, Montreal, Québec, Canada
| | - Valérie Larouche
- Division of Hemato-Oncology, Department of Pediatrics, CHU de Québec-Université Laval, 2705 Boulevard, Laurier, G1V 4G2, Québec, Canada
| | - Samuele Renzi
- Division of Hemato-Oncology, Department of Pediatrics, CHU de Québec-Université Laval, 2705 Boulevard, Laurier, G1V 4G2, Québec, Canada.
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2
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Schmitt AD, Sikkink K, Ahmed AA, Melnyk S, Reid D, Van Meter L, Guest EM, Lansdon LA, Pastinen T, Pushel I, Yoo B, Farooqi MS. Evaluation of Hi-C sequencing for the detection of gene fusions in hematologic and solid pediatric cancer samples. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.10.24306838. [PMID: 38765974 PMCID: PMC11100933 DOI: 10.1101/2024.05.10.24306838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
HiC sequencing is a DNA-based next-generation sequencing method that preserves the 3D conformation of the genome and has shown promise in detecting genomic rearrangements in translational research studies. To evaluate HiC as a potential clinical diagnostic platform, analytical concordance with routine laboratory testing was assessed using primary pediatric leukemia and sarcoma specimens previously positive for clinically significant genomic rearrangements. Archived specimen types tested included viable and nonviable frozen leukemic cells, as well as formalin-fixed paraffin-embedded (FFPE) tumor tissues. Initially, pediatric acute myeloid leukemia (AML) and alveolar rhabdomyosarcoma (A-RMS) specimens with known genomic rearrangements were subjected to HiC analysis to assess analytical concordance. Subsequently, a discovery cohort consisting of AML and acute lymphoblastic leukemia (ALL) cases with no known genomic rearrangements based on prior clinical diagnostic testing were evaluated to determine whether HiC could detect rearrangements. Using a standard sequencing depth of 50 million raw read-pairs per sample, or approximately 5X raw genomic coverage, 100% concordance was observed between HiC and previous clinical cytogenetic and molecular testing. In the discovery cohort, a clinically relevant gene fusion was detected in 45% of leukemia cases (5/11). This study demonstrates the value of HiC sequencing to medical diagnostic testing as it identified several clinically significant rearrangements, including those that might have been missed by current clinical testing workflows. Key points HiC sequencing is a DNA-based next-generation sequencing method that preserves the 3D conformation of the genome, facilitating detection of genomic rearrangements.HiC was 100% concordant with clinical diagnostic testing workflows for detecting clinically significant genomic rearrangements in pediatric leukemia and rhabdomyosarcoma specimens.HiC detected clinically significant genomic rearrangements not previously detected by prior clinical cytogenetic and molecular testing.HiC performed well with archived non-viable and viable frozen leukemic cell samples, as well as archived formalin-fixed paraffin-embedded tumor tissue specimens.
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3
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Xie T, Danieli-Mackay A, Buccarelli M, Barbieri M, Papadionysiou I, D'Alessandris QG, Robens C, Übelmesser N, Vinchure OS, Lauretti L, Fotia G, Schwarz RF, Wang X, Ricci-Vitiani L, Gopalakrishnan J, Pallini R, Papantonis A. Pervasive structural heterogeneity rewires glioblastoma chromosomes to sustain patient-specific transcriptional programs. Nat Commun 2024; 15:3905. [PMID: 38724522 PMCID: PMC11082206 DOI: 10.1038/s41467-024-48053-2] [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: 11/24/2023] [Accepted: 04/18/2024] [Indexed: 05/12/2024] Open
Abstract
Glioblastoma multiforme (GBM) encompasses brain malignancies marked by phenotypic and transcriptional heterogeneity thought to render these tumors aggressive, resistant to therapy, and inevitably recurrent. However, little is known about how the spatial organization of GBM genomes underlies this heterogeneity and its effects. Here, we compile a cohort of 28 patient-derived glioblastoma stem cell-like lines (GSCs) known to reflect the properties of their tumor-of-origin; six of these were primary-relapse tumor pairs from the same patient. We generate and analyze 5 kbp-resolution chromosome conformation capture (Hi-C) data from all GSCs to systematically map thousands of standalone and complex structural variants (SVs) and the multitude of neoloops arising as a result. By combining Hi-C, histone modification, and gene expression data with chromatin folding simulations, we explain how the pervasive, uneven, and idiosyncratic occurrence of neoloops sustains tumor-specific transcriptional programs via the formation of new enhancer-promoter contacts. We also show how even moderately recurrent neoloops can relate to patient-specific vulnerabilities. Together, our data provide a resource for dissecting GBM biology and heterogeneity, as well as for informing therapeutic approaches.
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Affiliation(s)
- Ting Xie
- Institute of Pathology, University Medical Center Göttingen, Göttingen, Germany
| | - Adi Danieli-Mackay
- Institute of Pathology, University Medical Center Göttingen, Göttingen, Germany
| | - Mariachiara Buccarelli
- Department of Oncology and Molecular Medicine, Istituto Superiore di Sanità, Rome, Italy
| | - Mariano Barbieri
- Institute of Pathology, University Medical Center Göttingen, Göttingen, Germany
| | | | - Q Giorgio D'Alessandris
- Department of Neuroscience, Catholic University School of Medicine, Rome, Italy
- Department of Neuroscience, Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy
| | - Claudia Robens
- Institute for Computational Cancer Biology (ICCB), Center for Integrated Oncology (CIO), Cancer Research Center Cologne Essen (CCCE), University of Cologne, Cologne, Germany
| | - Nadine Übelmesser
- Institute of Pathology, University Medical Center Göttingen, Göttingen, Germany
| | - Omkar Suhas Vinchure
- Institute of Human Genetics, University Hospital and Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Liverana Lauretti
- Department of Neuroscience, Catholic University School of Medicine, Rome, Italy
| | - Giorgio Fotia
- Centre for Advanced Studies, Research and Development in Sardinia (CRS4), Pula, Italy
| | - Roland F Schwarz
- Institute for Computational Cancer Biology (ICCB), Center for Integrated Oncology (CIO), Cancer Research Center Cologne Essen (CCCE), University of Cologne, Cologne, Germany
- Berlin Institute for the Foundations of Learning and Data (BIFOLD), Berlin, Germany
| | - Xiaotao Wang
- Institute of Reproduction and Development, Fudan University, Shanghai, China
- Research Units of Embryo Original Diseases, Chinese Academy of Medical Sciences, Shanghai, China
| | - Lucia Ricci-Vitiani
- Department of Oncology and Molecular Medicine, Istituto Superiore di Sanità, Rome, Italy
| | - Jay Gopalakrishnan
- Institute of Human Genetics, University Hospital and Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- Institute of Human Genetics, Jena University Hospital and Friedrich Schiller University of Jena, Jena, Germany
| | - Roberto Pallini
- Department of Neuroscience, Catholic University School of Medicine, Rome, Italy.
| | - Argyris Papantonis
- Institute of Pathology, University Medical Center Göttingen, Göttingen, Germany.
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4
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Saratsis AM, Knowles T, Petrovic A, Nazarian J. H3K27M mutant glioma: Disease definition and biological underpinnings. Neuro Oncol 2024; 26:S92-S100. [PMID: 37818718 PMCID: PMC11066930 DOI: 10.1093/neuonc/noad164] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Indexed: 10/12/2023] Open
Abstract
High-grade glioma (HGG) is the most common cause of cancer death in children and the most common primary central nervous system tumor in adults. While pediatric HGG was once thought to be biologically similar to the adult form of disease, research has shown these malignancies to be significantly molecularly distinct, necessitating distinct approaches to their clinical management. However, emerging data have shown shared molecular events in pediatric and adult HGG including the histone H3K27M mutation. This somatic missense mutation occurs in genes encoding one of two isoforms of the Histone H3 protein, H3F3A (H3.3), or HIST1H3B (H3.1), and is detected in up to 80% of pediatric diffuse midline gliomas and in up to 60% of adult diffuse gliomas. Importantly, the H3K27M mutation is associated with poorer overall survival and response to therapy compared to patients with H3 wild-type tumors. Here, we review the clinical features and biological underpinnings of pediatric and adult H3K27M mutant glioma, offering a groundwork for understanding current research and clinical approaches for the care of patients suffering with this challenging disease.
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Affiliation(s)
| | | | - Antonela Petrovic
- DMG Research Center, Department of Oncology, University Children’s Hospital, University of Zürich, Zürich, Switzerland
| | - Javad Nazarian
- Research Center for Genetic Medicine, Children’s National Health System, Washington, District of Columbia, USA
- Brain Tumor Institute, Children’s National Health System, Washington, District of Columbia, USA
- DMG Research Center, Department of Pediatrics, University Children’s Hospital, University of Zurich, Zürich, Switzerland
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5
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Damodharan S, Shireman JM, Xie E, Distler E, Kendziorski C, Dey M. Transcriptomic and Proteomic Spatial Profiling of Pediatric and Adult Diffuse Midline Glioma H3 K27-Altered, Reveals Region Specific Differences and Limited Overlap between mRNA and Protein. RESEARCH SQUARE 2024:rs.3.rs-4139314. [PMID: 38645012 PMCID: PMC11030546 DOI: 10.21203/rs.3.rs-4139314/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Diffuse midline glioma, H3 K27 -altered (DMG-Alt) are highly aggressive malignancies of the central nervous system (CNS) that primarily affect the pediatric population. Large scale spatial transcriptomic studies have implicated that tumor microenvironmental landscape plays an important role in determining the phenotypic differences in tumor presentation and clinical course, however, data connecting overall transcriptomic changes to the protein level is lacking. The NanoString GeoMx™ Digital Spatial Profiler platform was used to determine the spatial transcriptomic and proteomic landscape in a cohort of both pediatric and adult H3 K27 -altered DMG biopsy samples. Three fluorescently labeled antibodies targeting immune cells (CD45), epithelial cells (PanCK), tumor cells ( H3 K27M ) and a nucleic acid stain (SYTO-13) were used to establish regions of interest (ROI) for genomic and proteomic analysis. We found genetic alterations within the tumor which can be delineated across patient age and spatial location. We show that the H3 K27M mutation itself has a profound impact on tumor cells transcriptomics and interestingly we found limited fidelity between overall transcriptome and proteome. Our data also validate the previously described OPC like precursor signature at the proteomic level and reveal a special shift in the signature based on the local TME composition.
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6
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Yoon I, Kim U, Song Y, Park T, Lee DS. 3C methods in cancer research: recent advances and future prospects. Exp Mol Med 2024; 56:788-798. [PMID: 38658701 PMCID: PMC11059347 DOI: 10.1038/s12276-024-01236-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Revised: 03/15/2024] [Accepted: 03/25/2024] [Indexed: 04/26/2024] Open
Abstract
In recent years, Hi-C technology has revolutionized cancer research by elucidating the mystery of three-dimensional chromatin organization and its role in gene regulation. This paper explored the impact of Hi-C advancements on cancer research by delving into high-resolution techniques, such as chromatin loops, structural variants, haplotype phasing, and extrachromosomal DNA (ecDNA). Distant regulatory elements interact with their target genes through chromatin loops. Structural variants contribute to the development and progression of cancer. Haplotype phasing is crucial for understanding allele-specific genomic rearrangements and somatic clonal evolution in cancer. The role of ecDNA in driving oncogene amplification and drug resistance in cancer cells has also been revealed. These innovations offer a deeper understanding of cancer biology and the potential for personalized therapies. Despite these advancements, challenges, such as the accurate mapping of repetitive sequences and precise identification of structural variants, persist. Integrating Hi-C with multiomics data is key to overcoming these challenges and comprehensively understanding complex cancer genomes. Thus, Hi-C is a powerful tool for guiding precision medicine in cancer research and treatment.
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Affiliation(s)
- Insoo Yoon
- Department of Life Science, University of Seoul, Seoul, 02504, Republic of Korea
| | - Uijin Kim
- Department of Life Science, University of Seoul, Seoul, 02504, Republic of Korea
| | - Yousuk Song
- Department of Life Science, University of Seoul, Seoul, 02504, Republic of Korea
| | - Taesoo Park
- Department of Life Science, University of Seoul, Seoul, 02504, Republic of Korea
| | - Dong-Sung Lee
- Department of Life Science, University of Seoul, Seoul, 02504, Republic of Korea.
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7
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Sussman JH, Oldridge DA, Yu W, Chen CH, Zellmer AM, Rong J, Parvaresh-Rizi A, Thadi A, Xu J, Bandyopadhyay S, Sun Y, Wu D, Emerson Hunter C, Brosius S, Ahn KJ, Baxter AE, Koptyra MP, Vanguri RS, McGrory S, Resnick AC, Storm PB, Amankulor NM, Santi M, Viaene AN, Zhang N, Raedt TD, Cole K, Tan K. A longitudinal single-cell and spatial multiomic atlas of pediatric high-grade glioma. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.06.583588. [PMID: 38496580 PMCID: PMC10942465 DOI: 10.1101/2024.03.06.583588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Pediatric high-grade glioma (pHGG) is an incurable central nervous system malignancy that is a leading cause of pediatric cancer death. While pHGG shares many similarities to adult glioma, it is increasingly recognized as a molecularly distinct, yet highly heterogeneous disease. In this study, we longitudinally profiled a molecularly diverse cohort of 16 pHGG patients before and after standard therapy through single-nucleus RNA and ATAC sequencing, whole-genome sequencing, and CODEX spatial proteomics to capture the evolution of the tumor microenvironment during progression following treatment. We found that the canonical neoplastic cell phenotypes of adult glioblastoma are insufficient to capture the range of tumor cell states in a pediatric cohort and observed differential tumor-myeloid interactions between malignant cell states. We identified key transcriptional regulators of pHGG cell states and did not observe the marked proneural to mesenchymal shift characteristic of adult glioblastoma. We showed that essential neuromodulators and the interferon response are upregulated post-therapy along with an increase in non-neoplastic oligodendrocytes. Through in vitro pharmacological perturbation, we demonstrated novel malignant cell-intrinsic targets. This multiomic atlas of longitudinal pHGG captures the key features of therapy response that support distinction from its adult counterpart and suggests therapeutic strategies which are targeted to pediatric gliomas.
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Affiliation(s)
- Jonathan H. Sussman
- Medical Scientist Training Program, Perelman School of Medicine,
University of Pennsylvania, Philadelphia, PA
- Graduate Group in Genomics and Computational Biology, Perelman
School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Derek A. Oldridge
- Department of Pathology and Laboratory Medicine, Perelman School
of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Wenbao Yu
- Center for Childhood Cancer Research, Children’s Hospital
of Philadelphia, Philadelphia, PA
- Department of Pediatrics, University of Pennsylvania Perelman
School of Medicine, Philadelphia, PA
| | - Chia-Hui Chen
- Center for Childhood Cancer Research, Children’s Hospital
of Philadelphia, Philadelphia, PA
| | - Abigail M. Zellmer
- Department of Pathology and Laboratory Medicine, Perelman School
of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Jiazhen Rong
- Graduate Group in Genomics and Computational Biology, Perelman
School of Medicine, University of Pennsylvania, Philadelphia, PA
- Department of Statistics and Data Science, University of
Pennsylvania, Philadelphia, PA
| | | | - Anusha Thadi
- Center for Childhood Cancer Research, Children’s Hospital
of Philadelphia, Philadelphia, PA
| | - Jason Xu
- Medical Scientist Training Program, Perelman School of Medicine,
University of Pennsylvania, Philadelphia, PA
- Graduate Group in Genomics and Computational Biology, Perelman
School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Shovik Bandyopadhyay
- Medical Scientist Training Program, Perelman School of Medicine,
University of Pennsylvania, Philadelphia, PA
- Cellular and Molecular Biology Graduate Group, Perelman School of
Medicine, University of Pennsylvania, PA
| | - Yusha Sun
- Medical Scientist Training Program, Perelman School of Medicine,
University of Pennsylvania, Philadelphia, PA
- Neuroscience Graduate Group, Perelman School of Medicine,
University of Pennsylvania, PA
| | - David Wu
- Medical Scientist Training Program, Perelman School of Medicine,
University of Pennsylvania, Philadelphia, PA
- Graduate Group in Genomics and Computational Biology, Perelman
School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - C. Emerson Hunter
- Medical Scientist Training Program, Perelman School of Medicine,
University of Pennsylvania, Philadelphia, PA
- Graduate Group in Genomics and Computational Biology, Perelman
School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Stephanie Brosius
- Graduate Group in Genomics and Computational Biology, Perelman
School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Kyung Jin Ahn
- Center for Childhood Cancer Research, Children’s Hospital
of Philadelphia, Philadelphia, PA
| | - Amy E. Baxter
- Department of Pathology and Laboratory Medicine, Perelman School
of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Mateusz P. Koptyra
- Department of Neurosurgery, Children’s Hospital of
Philadelphia, Philadelphia, PA
| | - Rami S. Vanguri
- Department of Pathology and Laboratory Medicine, Perelman School
of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Stephanie McGrory
- Center for Childhood Cancer Research, Children’s Hospital
of Philadelphia, Philadelphia, PA
| | - Adam C. Resnick
- Department of Neurosurgery, Children’s Hospital of
Philadelphia, Philadelphia, PA
| | - Phillip B. Storm
- Department of Neurosurgery, Children’s Hospital of
Philadelphia, Philadelphia, PA
| | - Nduka M. Amankulor
- Department of Neurosurgery, Perelman School of Medicine,
Philadelphia, PA
| | - Mariarita Santi
- Department of Pathology and Laboratory Medicine, Perelman School
of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Angela N. Viaene
- Department of Pathology and Laboratory Medicine, Perelman School
of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Nancy Zhang
- Department of Statistics and Data Science, University of
Pennsylvania, Philadelphia, PA
| | - Thomas De Raedt
- Department of Pathology and Laboratory Medicine, Perelman School
of Medicine at the University of Pennsylvania, Philadelphia, PA
- Center for Childhood Cancer Research, Children’s Hospital
of Philadelphia, Philadelphia, PA
| | - Kristina Cole
- Center for Childhood Cancer Research, Children’s Hospital
of Philadelphia, Philadelphia, PA
- Department of Pediatrics, University of Pennsylvania Perelman
School of Medicine, Philadelphia, PA
| | - Kai Tan
- Center for Childhood Cancer Research, Children’s Hospital
of Philadelphia, Philadelphia, PA
- Department of Pediatrics, University of Pennsylvania Perelman
School of Medicine, Philadelphia, PA
- Center for Single Cell Biology, Children’s Hospital of
Philadelphia, Philadelphia, PA
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8
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Hua D, Gu M, Zhang X, Du Y, Xie H, Qi L, Du X, Bai Z, Zhu X, Tian D. DiffDomain enables identification of structurally reorganized topologically associating domains. Nat Commun 2024; 15:502. [PMID: 38218905 PMCID: PMC10787792 DOI: 10.1038/s41467-024-44782-6] [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: 12/16/2022] [Accepted: 01/02/2024] [Indexed: 01/15/2024] Open
Abstract
Topologically associating domains (TADs) are critical structural units in three-dimensional genome organization of mammalian genome. Dynamic reorganizations of TADs between health and disease states are associated with essential genome functions. However, computational methods for identifying reorganized TADs are still in the early stages of development. Here, we present DiffDomain, an algorithm leveraging high-dimensional random matrix theory to identify structurally reorganized TADs using high-throughput chromosome conformation capture (Hi-C) contact maps. Method comparison using multiple real Hi-C datasets reveals that DiffDomain outperforms alternative methods for false positive rates, true positive rates, and identifying a new subtype of reorganized TADs. Applying DiffDomain to Hi-C data from different cell types and disease states demonstrates its biological relevance. Identified reorganized TADs are associated with structural variations and epigenomic changes such as changes in CTCF binding sites. By applying to a single-cell Hi-C data from mouse neuronal development, DiffDomain can identify reorganized TADs between cell types with reasonable reproducibility using pseudo-bulk Hi-C data from as few as 100 cells per condition. Moreover, DiffDomain reveals differential cell-to-population variability and heterogeneous cell-to-cell variability in TADs. Therefore, DiffDomain is a statistically sound method for better comparative analysis of TADs using both Hi-C and single-cell Hi-C data.
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Affiliation(s)
- Dunming Hua
- Department of Biostatistics and Systems Biology, School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, 510275, China
- Department of Biostatistics and Systems Biology, School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
| | - Ming Gu
- Department of Biostatistics and Systems Biology, School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, 510275, China
- Department of Biostatistics and Systems Biology, School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
| | - Xiao Zhang
- Department of Biostatistics and Systems Biology, School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, 510275, China
- Department of Biostatistics and Systems Biology, School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
| | - Yanyi Du
- Department of Biostatistics and Systems Biology, School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, 510275, China
- Department of Biostatistics and Systems Biology, School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
| | - Hangcheng Xie
- Department of Biostatistics and Systems Biology, School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, 510275, China
- Department of Biostatistics and Systems Biology, School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
| | - Li Qi
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, 400042, China
| | - Xiangjun Du
- Department of Biostatistics and Systems Biology, School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, 510275, China
- Department of Biostatistics and Systems Biology, School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
| | - Zhidong Bai
- KLASMOE & School of Mathematics and Statistics, Northeast Normal University, Changchun, Jilin, 130024, China
| | - Xiaopeng Zhu
- MyCellome LLC., Allison Park, PA, 15101, USA
- Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, 15213, USA
| | - Dechao Tian
- Department of Biostatistics and Systems Biology, School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, 510275, China.
- Department of Biostatistics and Systems Biology, School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China.
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9
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Shi T, Guo D, Zheng Y, Wang W, Bi J, He A, Fan S, Su G, Zhao X, Zhao Z, Song Y, Sun S, Li P, Zhao Z, Shi J, Lu W, Zhang L. Bivalent activity of super-enhancer RNA LINC02454 controls 3D chromatin structure and regulates glioma sensitivity to temozolomide. Cell Death Dis 2024; 15:6. [PMID: 38177123 PMCID: PMC10766990 DOI: 10.1038/s41419-023-06392-w] [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: 08/01/2023] [Revised: 12/07/2023] [Accepted: 12/14/2023] [Indexed: 01/06/2024]
Abstract
Glioma cell sensitivity to temozolomide (TMZ) is critical for effective treatment and correlates with patient survival, although mechanisms underlying this activity are unclear. Here, we reveal a new mechanism used by glioma cells to modulate TMZ sensitivity via regulation of SORBS2 and DDR1 genes by super-enhancer RNA LINC02454. We report that LINC02454 activity increases glioma cell TMZ sensitivity by maintaining long-range chromatin interactions between SORBS2 and the LINC02454 enhancer. By contrast, LINC02454 activity also decreased glioma cell TMZ sensitivity by promoting DDR1 expression. Our study suggests a bivalent function for super-enhancer RNA LINC02454 in regulating glioma cell sensitivity to TMZ.
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Affiliation(s)
- Tengfei Shi
- State Key Laboratory of Medicinal Chemical Biology, Frontiers Science Center for Cell Responses, College of Life Sciences, Nankai University, 300071, Tianjin, China
| | - Dianhao Guo
- Department of Molecular Biology and Biochemistry, School of Clinical and Basic Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, 250021, Jinan, shandong, China
| | - Yaoqiang Zheng
- State Key Laboratory of Medicinal Chemical Biology, Frontiers Science Center for Cell Responses, College of Life Sciences, Nankai University, 300071, Tianjin, China
| | - Wenbin Wang
- State Key Laboratory of Medicinal Chemical Biology, Frontiers Science Center for Cell Responses, College of Life Sciences, Nankai University, 300071, Tianjin, China
| | - Jinfang Bi
- Institute of Precision Medicine, The First Affiliated Hospital, Sun Yat-Sen University, 510030, Guangzhou, China
| | - Anshun He
- State Key Laboratory of Medicinal Chemical Biology, Frontiers Science Center for Cell Responses, College of Life Sciences, Nankai University, 300071, Tianjin, China
| | - Sibo Fan
- State Key Laboratory of Medicinal Chemical Biology, Frontiers Science Center for Cell Responses, College of Life Sciences, Nankai University, 300071, Tianjin, China
| | - Guangsong Su
- Institute of Precision Medicine, The First Affiliated Hospital, Sun Yat-Sen University, 510030, Guangzhou, China
| | - Xueyuan Zhao
- State Key Laboratory of Medicinal Chemical Biology, Frontiers Science Center for Cell Responses, College of Life Sciences, Nankai University, 300071, Tianjin, China
| | - Zhenhao Zhao
- State Key Laboratory of Medicinal Chemical Biology, Frontiers Science Center for Cell Responses, College of Life Sciences, Nankai University, 300071, Tianjin, China
| | - Yingjie Song
- State Key Laboratory of Medicinal Chemical Biology, Frontiers Science Center for Cell Responses, College of Life Sciences, Nankai University, 300071, Tianjin, China
| | - Shupeng Sun
- Department of Neurosurgery, Tianjin Huanhu Hospital, School of Medicine, Nankai University, 6 Jizhao Road, 300350, Tianjin, China
| | - Peng Li
- State Key Laboratory of Medicinal Chemical Biology, Frontiers Science Center for Cell Responses, College of Life Sciences, Nankai University, 300071, Tianjin, China
| | - Zhongfang Zhao
- State Key Laboratory of Medicinal Chemical Biology, Frontiers Science Center for Cell Responses, College of Life Sciences, Nankai University, 300071, Tianjin, China
| | - Jiandang Shi
- State Key Laboratory of Medicinal Chemical Biology, Frontiers Science Center for Cell Responses, College of Life Sciences, Nankai University, 300071, Tianjin, China
| | - Wange Lu
- State Key Laboratory of Medicinal Chemical Biology, Frontiers Science Center for Cell Responses, College of Life Sciences, Nankai University, 300071, Tianjin, China.
| | - Lei Zhang
- State Key Laboratory of Medicinal Chemical Biology, Frontiers Science Center for Cell Responses, College of Life Sciences, Nankai University, 300071, Tianjin, China.
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10
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Tetens AR, Martin AM, Arnold A, Novak OV, Idrizi A, Tryggvadottir R, Craig-Schwartz J, Liapodimitri A, Lunsford K, Barbato MI, Eberhart CG, Resnick AC, Raabe EH, Koldobskiy MA. DNA methylation landscapes in DIPG reveal methylome variability that can be modified pharmacologically. Neurooncol Adv 2024; 6:vdae023. [PMID: 38468866 PMCID: PMC10926944 DOI: 10.1093/noajnl/vdae023] [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] [Indexed: 03/13/2024] Open
Abstract
Background Diffuse intrinsic pontine glioma (DIPG) is a uniformly lethal brainstem tumor of childhood, driven by histone H3 K27M mutation and resultant epigenetic dysregulation. Epigenomic analyses of DIPG have shown global loss of repressive chromatin marks accompanied by DNA hypomethylation. However, studies providing a static view of the epigenome do not adequately capture the regulatory underpinnings of DIPG cellular heterogeneity and plasticity. Methods To address this, we performed whole-genome bisulfite sequencing on a large panel of primary DIPG specimens and applied a novel framework for analysis of DNA methylation variability, permitting the derivation of comprehensive genome-wide DNA methylation potential energy landscapes that capture intrinsic epigenetic variation. Results We show that DIPG has a markedly disordered epigenome with increasingly stochastic DNA methylation at genes regulating pluripotency and developmental identity, potentially enabling cells to sample diverse transcriptional programs and differentiation states. The DIPG epigenetic landscape was responsive to treatment with the hypomethylating agent decitabine, which produced genome-wide demethylation and reduced the stochasticity of DNA methylation at active enhancers and bivalent promoters. Decitabine treatment elicited changes in gene expression, including upregulation of immune signaling such as the interferon response, STING, and MHC class I expression, and sensitized cells to the effects of histone deacetylase inhibition. Conclusions This study provides a resource for understanding the epigenetic instability that underlies DIPG heterogeneity. It suggests the application of epigenetic therapies to constrain the range of epigenetic states available to DIPG cells, as well as the use of decitabine in priming for immune-based therapies.
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Affiliation(s)
- Ashley R Tetens
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Pediatric Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Allison M Martin
- Pediatric Hematology-Oncology, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Antje Arnold
- Pediatric Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Orlandi V Novak
- Pediatric Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Adrian Idrizi
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Rakel Tryggvadottir
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Jordyn Craig-Schwartz
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Pediatric Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Athanasia Liapodimitri
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Pediatric Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Kayleigh Lunsford
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Pediatric Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Michael I Barbato
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Pediatric Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Charles G Eberhart
- Neuropathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Adam C Resnick
- Center for Data-Driven Discovery in Biomedicine, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Division of Neurosurgery, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Eric H Raabe
- Pediatric Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Neuropathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Michael A Koldobskiy
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Pediatric Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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11
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Hu X, Xie J, Yang Y, Qiu Z, Lu W, Lin X, Xu B. Multi-Target Neural Differentiation (MTND) Therapeutic Cocktail to Suppress Brain Tumor. Int J Mol Sci 2023; 24:12329. [PMID: 37569705 PMCID: PMC10418641 DOI: 10.3390/ijms241512329] [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: 07/13/2023] [Revised: 07/28/2023] [Accepted: 07/31/2023] [Indexed: 08/13/2023] Open
Abstract
Brain tumors have been proved challenging to treat. Here we established a Multi-Target Neural Differentiation (MTND) therapeutic cocktail to achieve effective and safe treatment of brain malignancies by targeting the important hallmarks in brain cancers: poor cell differentiation and compromised cell cycle. In-vitro and in-vivo experiments confirmed the significant therapeutic effect of our MTND therapy. Significantly improved therapeutic effects over current first-line chemo-drugs have been identified in clinical cells, with great inhibition of the growth and migration of tumor cells. Further in-vivo experiments confirmed that sustained MTND treatment showed a 73% reduction of the tumor area. MTND also induced strong expression of phenotypes associated with cell cycle exit/arrest and rapid neural reprograming from clinical glioma cells to glutamatergic and GABAergic expressing cells, which are two key neuronal types involved in many human brain functions, including learning and memory. Collectively, MTND induced multi-targeted genotypic expression changes to achieve direct neural conversion of glioma cells and controlled the cell cycle/tumorigenesis development, helping control tumor cells' malignant proliferation and making it possible to treat brain malignant tumors effectively and safely. These encouraging results open avenues to developing new therapies for brain malignancies beyond cytotoxic agents, providing more effective medication recommendations with reduced toxicity.
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Affiliation(s)
- Xiaoping Hu
- School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China; (X.H.); (Y.Y.)
| | - Jingdun Xie
- Department of Anesthesiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation for Cancer Medicine, Guangzhou 510060, China; (J.X.); (W.L.)
| | - Yilin Yang
- School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China; (X.H.); (Y.Y.)
| | - Ziyi Qiu
- School of Biomedical Engineering (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China;
| | - Weicheng Lu
- Department of Anesthesiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation for Cancer Medicine, Guangzhou 510060, China; (J.X.); (W.L.)
| | - Xudong Lin
- School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China; (X.H.); (Y.Y.)
| | - Bingzhe Xu
- School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China; (X.H.); (Y.Y.)
- School of Biomedical Engineering (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China;
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12
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Tang YJ, Shuldiner EG, Karmakar S, Winslow MM. High-Throughput Identification, Modeling, and Analysis of Cancer Driver Genes In Vivo. Cold Spring Harb Perspect Med 2023; 13:a041382. [PMID: 37277208 PMCID: PMC10317066 DOI: 10.1101/cshperspect.a041382] [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] [Indexed: 06/07/2023]
Abstract
The vast number of genomic and molecular alterations in cancer pose a substantial challenge to uncovering the mechanisms of tumorigenesis and identifying therapeutic targets. High-throughput functional genomic methods in genetically engineered mouse models allow for rapid and systematic investigation of cancer driver genes. In this review, we discuss the basic concepts and tools for multiplexed investigation of functionally important cancer genes in vivo using autochthonous cancer models. Furthermore, we highlight emerging technical advances in the field, potential opportunities for future investigation, and outline a vision for integrating multiplexed genetic perturbations with detailed molecular analyses to advance our understanding of the genetic and molecular basis of cancer.
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Affiliation(s)
- Yuning J Tang
- Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Emily G Shuldiner
- Department of Biology, Stanford University, Stanford, California 94305, USA
| | - Saswati Karmakar
- Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Monte M Winslow
- Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, California 94305, USA
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13
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Knowles T, Huang T, Qi J, An S, Burket N, Cooper S, Nazarian J, Saratsis AM. LIN28B and Let-7 in Diffuse Midline Glioma: A Review. Cancers (Basel) 2023; 15:3241. [PMID: 37370851 DOI: 10.3390/cancers15123241] [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: 04/18/2023] [Revised: 06/12/2023] [Accepted: 06/17/2023] [Indexed: 06/29/2023] Open
Abstract
Diffuse midline glioma (DMG) is the most lethal of all childhood cancers. DMGs are driven by histone-tail-mutation-mediated epigenetic dysregulation and partner mutations in genes controlling proliferation and migration. One result of this epigenetic and genetic landscape is the overexpression of LIN28B RNA binding protein. In other systems, LIN28B has been shown to prevent let-7 microRNA biogenesis; however, let-7, when available, faithfully suppresses tumorigenic pathways and induces cellular maturation by preventing the translation of numerous oncogenes. Here, we review the current literature on LIN28A/B and the let-7 family and describe their role in gliomagenesis. Future research is then recommended, with a focus on the mechanisms of LIN28B overexpression and localization in DMG.
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Affiliation(s)
- Truman Knowles
- W.M. Keck Science Department, Scripps, Pitzer, and Claremont McKenna Colleges, Claremont, CA 91711, USA
| | - Tina Huang
- Department of Neurosurgery, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Jin Qi
- Department of Neurosurgery, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Shejuan An
- Department of Neurosurgery, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Noah Burket
- Department of Neurosurgery, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Scott Cooper
- Department of Neurosurgery, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Javad Nazarian
- Department of Pediatrics, Children's National Hospital, Washington, DC 20010, USA
- Department of Pediatrics, Zurich Children's Hospital, 8032 Zurich, Switzerland
| | - Amanda M Saratsis
- Department of Neurosurgery, Lutheran General Hospital, Park Ridge, IL 60068, USA
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14
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Liu T, Wang J, Yang H, Jin Q, Wang X, Fu Y, Luan Y, Wang Q, Youngblood MW, Lu X, Casadei L, Pollock R, Yue F. Enhancer Coamplification and Hijacking Promote Oncogene Expression in Liposarcoma. Cancer Res 2023; 83:1517-1530. [PMID: 36847778 PMCID: PMC10152236 DOI: 10.1158/0008-5472.can-22-1858] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 12/29/2022] [Accepted: 02/22/2023] [Indexed: 03/01/2023]
Abstract
SIGNIFICANCE Comprehensive profiling of the enhancer landscape and 3D genome structure in liposarcoma identifies extensive enhancer-oncogene coamplification and enhancer hijacking events, deepening the understanding of how oncogenes are regulated in cancer.
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Affiliation(s)
- Tingting Liu
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine Northwestern University, Chicago, Illinois
| | - Juan Wang
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine Northwestern University, Chicago, Illinois
| | - Hongbo Yang
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine Northwestern University, Chicago, Illinois
| | - Qiushi Jin
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine Northwestern University, Chicago, Illinois
| | - Xiaotao Wang
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine Northwestern University, Chicago, Illinois
| | - Yihao Fu
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine Northwestern University, Chicago, Illinois
| | - Yu Luan
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine Northwestern University, Chicago, Illinois
| | - Qixuan Wang
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine Northwestern University, Chicago, Illinois
| | - Mark W. Youngblood
- Department of Neurosurgery, Feinberg School of Medicine Northwestern University, Chicago, Illinois
| | - Xinyan Lu
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Lucia Casadei
- Program in Translational Therapeutics, The James Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio
| | - Raphael Pollock
- Program in Translational Therapeutics, The James Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio
- Department of Surgery, The Ohio State University, Columbus, Ohio
| | - Feng Yue
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine Northwestern University, Chicago, Illinois
- Robert H. Lurie Comprehensive Cancer Center of Northwestern University, Chicago, Illinois
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15
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Park J, Chung C. Epigenetic and Metabolic Changes in Diffuse Intrinsic Pontine Glioma. Brain Tumor Res Treat 2023; 11:86-93. [PMID: 37151150 PMCID: PMC10172016 DOI: 10.14791/btrt.2023.0011] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 04/07/2023] [Accepted: 04/13/2023] [Indexed: 05/09/2023] Open
Abstract
Diffuse midline glioma (DMG), hitherto known as diffuse intrinsic pontine glioma (DIPG), is a rare and aggressive form of brain cancer that primarily affects children. Although the exact cause of DMG/DIPG is not known, a large proportion of DMG/DIPG tumors harbor mutations in the gene encoding the histone H3 protein, specifically the H3K27M mutation. This mutation decreases the level of H3K27me3, a histone modification that plays a vital role in regulating gene expression through epigenetic regulation. The mutation also alters the function of polycomb repressive complex 2 (PRC2), thereby preventing the repression of genes associated with cancer development. The decrease in H3K27me3 caused by the histone H3 mutation is accompanied by an increase in the level of H3K27ac, a post-translational modification related to active transcription. Dysregulation of histone modification markedly affects gene expression, contributing to cancer development and progression by promoting uncontrolled cell proliferation, tumor growth, and metabolism. DMG/DIPG alters the metabolism of methionine and the tricarboxylic acid cycle, as well as glucose and glutamine uptake. The role of epigenetic and metabolic changes in the development of DMG/DIPG has been studied extensively, and understanding these changes is critical to developing therapies targeting these pathways. Studies are currently underway to identify new therapeutic targets for DMG/DIPG, which may lead to the development of effective treatments for this devastating disease.
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Affiliation(s)
- Jiyoon Park
- Department of New Biology, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Korea
- New Biology Research Center (NBRC), Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Korea
| | - Chan Chung
- Department of New Biology, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Korea
- New Biology Research Center (NBRC), Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Korea.
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16
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Regulation of Cell Plasticity by Bromodomain and Extraterminal Domain (BET) Proteins: A New Perspective in Glioblastoma Therapy. Int J Mol Sci 2023; 24:ijms24065665. [PMID: 36982740 PMCID: PMC10055343 DOI: 10.3390/ijms24065665] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 03/12/2023] [Accepted: 03/14/2023] [Indexed: 03/18/2023] Open
Abstract
BET proteins are a family of multifunctional epigenetic readers, mainly involved in transcriptional regulation through chromatin modelling. Transcriptome handling ability of BET proteins suggests a key role in the modulation of cell plasticity, both in fate decision and in lineage commitment during embryonic development and in pathogenic conditions, including cancerogenesis. Glioblastoma is the most aggressive form of glioma, characterized by a very poor prognosis despite the application of a multimodal therapy. Recently, new insights are emerging about the glioblastoma cellular origin, leading to the hypothesis that several putative mechanisms occur during gliomagenesis. Interestingly, epigenome dysregulation associated with loss of cellular identity and functions are emerging as crucial features of glioblastoma pathogenesis. Therefore, the emerging roles of BET protein in glioblastoma onco-biology and the compelling demand for more effective therapeutic strategies suggest that BET family members could be promising targets for translational breakthroughs in glioblastoma treatment. Primarily, “Reprogramming Therapy”, which is aimed at reverting the malignant phenotype, is now considered a promising strategy for GBM therapy.
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17
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Pun M, Pratt D, Nano PR, Joshi PK, Jiang L, Englinger B, Rao A, Cieslik M, Chinnaiyan AM, Aldape K, Pfister S, Filbin MG, Bhaduri A, Venneti S. Common molecular features of H3K27M DMGs and PFA ependymomas map to hindbrain developmental pathways. Acta Neuropathol Commun 2023; 11:25. [PMID: 36759899 PMCID: PMC9912509 DOI: 10.1186/s40478-023-01514-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 01/11/2023] [Indexed: 02/11/2023] Open
Abstract
Globally decreased histone 3, lysine 27 tri-methylation (H3K27me3) is a hallmark of H3K27-altered diffuse midline gliomas (DMGs) and group-A posterior fossa ependymomas (PFAs). H3K27-altered DMGs are largely characterized by lysine-to-methionine mutations in histone 3 at position 27 (H3K27M). Most PFAs overexpress EZH inhibitory protein (EZHIP), which possesses a region of similarity to the mutant H3K27M. Both H3K27M and EZHIP inhibit the function of the polycomb repressive complex 2 (PRC2) responsible for H3K27me3 deposition. These tumors often arise in neighboring regions of the brainstem and posterior fossa. In rare cases PFAs harbor H3K27M mutations, and DMGs overexpress EZHIP. These findings together raise the possibility that certain cell populations in the developing hindbrain/posterior fossa are especially sensitive to modulation of H3K27me3 states. We identified shared molecular features by comparing genomic, bulk transcriptomic, chromatin-based profiles, and single-cell RNA-sequencing (scRNA-seq) data from the two tumor classes. Our approach demonstrated that 1q gain, a key biomarker in PFAs, is prognostic in H3.1K27M, but not H3.3K27M gliomas. Conversely, Activin A Receptor Type 1 (ACVR1), which is associated with mutations in H3.1K27M gliomas, is overexpressed in a subset of PFAs with poor outcome. Despite diffuse H3K27me3 reduction, previous work shows that both tumors maintain genomic H3K27me3 deposition at select sites. We demonstrate heterogeneity in shared patterns of residual H3K27me3 for both tumors that largely segregated with inferred anatomic tumor origins and progenitor populations of tumor cells. In contrast, analysis of genes linked to H3K27 acetylation (H3K27ac)-marked enhancers showed higher expression in astrocytic-like tumor cells. Finally, common H3K27me3-marked genes mapped closely to expression patterns in the human developing hindbrain. Overall, our data demonstrate developmentally relevant molecular similarities between PFAs and H3K27M DMGs and support the overall hypothesis that deregulated mechanisms of hindbrain development are central to the biology of both tumors.
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Affiliation(s)
- Matthew Pun
- Laboratory of Brain Tumor Metabolism and Epigenetics, Department of Pathology, University of Michigan, 3520E MSRB 1, 1150 W. Medical Center, Ann Arbor, MI, 41804, USA
- Chad Carr Pediatric Tumor Center, Department of Pediatrics, University of Michigan, Ann Arbor, MI, USA
- Cellular and Molecular Biology Program, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
- Medical Scientist Training Program, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
| | - Drew Pratt
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 10 Center Dr., Room 2S235, Bethesda, MD, 20892, USA
| | - Patricia R Nano
- Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Piyush K Joshi
- Hopp Children's Cancer Center (KiTZ) Heidelberg, Division of Pediatric Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | - Li Jiang
- Department of Pediatric Oncology, Dana-Farber Boston Children's Cancer and Blood Disorders Center, Boston, MA, 02115, USA
| | - Bernhard Englinger
- Department of Pediatric Oncology, Dana-Farber Boston Children's Cancer and Blood Disorders Center, Boston, MA, 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
- Department of Urology, Comprehensive Cancer Center, Medical University of Vienna, 1090, Vienna, Austria
- Center for Cancer Research and Comprehensive Cancer Center, Medical University Vienna, 1090, Vienna, Austria
| | - Arvind Rao
- Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA
- Department of Radiation Oncology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
| | - Marcin Cieslik
- Michigan Center for Translational Pathology, Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
| | - Arul M Chinnaiyan
- Michigan Center for Translational Pathology, Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
- Department of Urology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
- Howard Hughes Medical Institute, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
| | - Kenneth Aldape
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 10 Center Dr., Room 2S235, Bethesda, MD, 20892, USA
| | - Stefan Pfister
- Hopp Children's Cancer Center (KiTZ) Heidelberg, Division of Pediatric Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), 69120, Heidelberg, Germany
- Department of Pediatric Hematology and Oncology, Heidelberg University Hospital, 69120, Heidelberg, Germany
| | - Mariella G Filbin
- Department of Pediatric Oncology, Dana-Farber Boston Children's Cancer and Blood Disorders Center, Boston, MA, 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
| | - Aparna Bhaduri
- Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Sriram Venneti
- Laboratory of Brain Tumor Metabolism and Epigenetics, Department of Pathology, University of Michigan, 3520E MSRB 1, 1150 W. Medical Center, Ann Arbor, MI, 41804, USA.
- Chad Carr Pediatric Tumor Center, Department of Pediatrics, University of Michigan, Ann Arbor, MI, USA.
- Cellular and Molecular Biology Program, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
- Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
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18
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Chromatin structure in cancer. BMC Mol Cell Biol 2022; 23:35. [PMID: 35902807 PMCID: PMC9331575 DOI: 10.1186/s12860-022-00433-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 07/14/2022] [Indexed: 11/10/2022] Open
Abstract
In the past decade, we have seen the emergence of sequence-based methods to understand chromosome organization. With the confluence of in situ approaches to capture information on looping, topological domains, and larger chromatin compartments, understanding chromatin-driven disease is becoming feasible. Excitingly, recent advances in single molecule imaging with capacity to reconstruct “bulk-cell” features of chromosome conformation have revealed cell-to-cell chromatin structural variation. The fundamental question motivating our analysis of the literature is, can altered chromatin structure drive tumorigenesis? As our community learns more about rare disease, including low mutational frequency cancers, understanding “chromatin-driven” pathology will illuminate the regulatory structures of the genome. We describe recent insights into altered genome architecture in human cancer, highlighting multiple pathways toward disruptions of chromatin structure, including structural variation, noncoding mutations, metabolism, and de novo mutations to architectural regulators themselves. Our analysis of the literature reveals that deregulation of genome structure is characteristic in distinct classes of chromatin-driven tumors. As we begin to integrate the findings from single cell imaging studies and chromatin structural sequencing, we will be able to understand the diversity of cells within a common diagnosis, and begin to define structure–function relationships of the misfolded genome.
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19
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Luo Z, Xia M, Shi W, Zhao C, Wang J, Xin D, Dong X, Xiong Y, Zhang F, Berry K, Ogurek S, Liu X, Rao R, Xing R, Wu LMN, Cui S, Xu L, Lin Y, Ma W, Tian S, Xie Q, Zhang L, Xin M, Wang X, Yue F, Zheng H, Liu Y, Stevenson CB, de Blank P, Perentesis JP, Gilbertson RJ, Li H, Ma J, Zhou W, Taylor MD, Lu QR. Human fetal cerebellar cell atlas informs medulloblastoma origin and oncogenesis. Nature 2022; 612:787-794. [PMID: 36450980 DOI: 10.1038/s41586-022-05487-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 10/26/2022] [Indexed: 12/05/2022]
Abstract
Medulloblastoma (MB) is the most common malignant childhood brain tumour1,2, yet the origin of the most aggressive subgroup-3 form remains elusive, impeding development of effective targeted treatments. Previous analyses of mouse cerebella3-5 have not fully defined the compositional heterogeneity of MBs. Here we undertook single-cell profiling of freshly isolated human fetal cerebella to establish a reference map delineating hierarchical cellular states in MBs. We identified a unique transitional cerebellar progenitor connecting neural stem cells to neuronal lineages in developing fetal cerebella. Intersectional analysis revealed that the transitional progenitors were enriched in aggressive MB subgroups, including group 3 and metastatic tumours. Single-cell multi-omics revealed underlying regulatory networks in the transitional progenitor populations, including transcriptional determinants HNRNPH1 and SOX11, which are correlated with clinical prognosis in group 3 MBs. Genomic and Hi-C profiling identified de novo long-range chromatin loops juxtaposing HNRNPH1/SOX11-targeted super-enhancers to cis-regulatory elements of MYC, an oncogenic driver for group 3 MBs. Targeting the transitional progenitor regulators inhibited MYC expression and MYC-driven group 3 MB growth. Our integrated single-cell atlases of human fetal cerebella and MBs show potential cell populations predisposed to transformation and regulatory circuitries underlying tumour cell states and oncogenesis, highlighting hitherto unrecognized transitional progenitor intermediates predictive of disease prognosis and potential therapeutic vulnerabilities.
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Affiliation(s)
- Zaili Luo
- Brain Tumor Center, Division of Experimental Hematology and Cancer Biology, Cancer and Blood Diseases Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Mingyang Xia
- Key Laboratory of Birth Defects, Children's Hospital of Fudan University, Fudan University, Shanghai, China
| | - Wei Shi
- Department of Neurosurgery, Children's Hospital of Fudan University, Shanghai, China
| | - Chuntao Zhao
- Brain Tumor Center, Division of Experimental Hematology and Cancer Biology, Cancer and Blood Diseases Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Jiajia Wang
- Department of Pediatric Neurosurgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Dazhuan Xin
- Brain Tumor Center, Division of Experimental Hematology and Cancer Biology, Cancer and Blood Diseases Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Xinran Dong
- Key Laboratory of Birth Defects, Children's Hospital of Fudan University, Fudan University, Shanghai, China
| | - Yu Xiong
- Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
- Shanghai Key Laboratory of Female Reproductive Endocrine-Related Diseases, Shanghai, China
| | - Feng Zhang
- Brain Tumor Center, Division of Experimental Hematology and Cancer Biology, Cancer and Blood Diseases Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Kalen Berry
- Brain Tumor Center, Division of Experimental Hematology and Cancer Biology, Cancer and Blood Diseases Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Sean Ogurek
- Brain Tumor Center, Division of Experimental Hematology and Cancer Biology, Cancer and Blood Diseases Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Xuezhao Liu
- Brain Tumor Center, Division of Experimental Hematology and Cancer Biology, Cancer and Blood Diseases Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Rohit Rao
- Brain Tumor Center, Division of Experimental Hematology and Cancer Biology, Cancer and Blood Diseases Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Rui Xing
- Brain Tumor Center, Division of Experimental Hematology and Cancer Biology, Cancer and Blood Diseases Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Lai Man Natalie Wu
- Brain Tumor Center, Division of Experimental Hematology and Cancer Biology, Cancer and Blood Diseases Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Siying Cui
- Key Laboratory of Birth Defects, Children's Hospital of Fudan University, Fudan University, Shanghai, China
| | - Lingli Xu
- Key Laboratory of Birth Defects, Children's Hospital of Fudan University, Fudan University, Shanghai, China
| | - Yifeng Lin
- Key Laboratory of Birth Defects, Children's Hospital of Fudan University, Fudan University, Shanghai, China
| | - Wenkun Ma
- Department of Pediatric Neurosurgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuaiwei Tian
- Department of Pediatric Neurosurgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qi Xie
- School of Life Sciences, Westlake University, Hangzhou, China
| | - Li Zhang
- Brain Tumor Center, Division of Experimental Hematology and Cancer Biology, Cancer and Blood Diseases Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Mei Xin
- Brain Tumor Center, Division of Experimental Hematology and Cancer Biology, Cancer and Blood Diseases Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Xiaotao Wang
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine Northwestern University, Chicago, IL, USA
| | - Feng Yue
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine Northwestern University, Chicago, IL, USA
| | - Haizi Zheng
- Brain Tumor Center, Division of Experimental Hematology and Cancer Biology, Cancer and Blood Diseases Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Yaping Liu
- Brain Tumor Center, Division of Experimental Hematology and Cancer Biology, Cancer and Blood Diseases Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Charles B Stevenson
- Brain Tumor Center, Division of Experimental Hematology and Cancer Biology, Cancer and Blood Diseases Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Peter de Blank
- Brain Tumor Center, Division of Experimental Hematology and Cancer Biology, Cancer and Blood Diseases Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - John P Perentesis
- Brain Tumor Center, Division of Experimental Hematology and Cancer Biology, Cancer and Blood Diseases Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Richard J Gilbertson
- Cancer Research UK Cambridge Centre, CRUK Cambridge Institute, Li Ka Shing Centre, Cambridge, UK
| | - Hao Li
- Department of Neurosurgery, Children's Hospital of Fudan University, Shanghai, China.
| | - Jie Ma
- Department of Pediatric Neurosurgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Wenhao Zhou
- Key Laboratory of Birth Defects, Children's Hospital of Fudan University, Fudan University, Shanghai, China.
| | - Michael D Taylor
- Developmental and Stem Cell Biology Program, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Q Richard Lu
- Brain Tumor Center, Division of Experimental Hematology and Cancer Biology, Cancer and Blood Diseases Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
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20
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Day CA, Hinchcliffe EH, Robinson JP. H3K27me3 in Diffuse Midline Glioma and Epithelial Ovarian Cancer: Opposing Epigenetic Changes Leading to the Same Poor Outcomes. Cells 2022; 11:cells11213376. [PMID: 36359771 PMCID: PMC9655269 DOI: 10.3390/cells11213376] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 10/19/2022] [Accepted: 10/24/2022] [Indexed: 11/29/2022] Open
Abstract
Histone post-translational modifications modulate gene expression through epigenetic gene regulation. The core histone H3 family members, H3.1, H3.2, and H3.3, play a central role in epigenetics. H3 histones can acquire many post-translational modifications, including the trimethylation of H3K27 (H3K27me3), which represses transcription. Triple methylation of H3K27 is performed by the histone methyltransferase Enhancer of Zeste Homologue 2 (EZH2), a component of the Polycomb Repressive Complex 2. Both global increases and decreases in H3K27me3 have been implicated in a wide range of cancer types. Here, we explore how opposing changes in H3K27me3 contribute to cancer by highlighting its role in two vastly different cancer types; (1) a form of glioma known as diffuse midline glioma H3K27-altered and (2) epithelial ovarian cancer. These two cancers vary widely in the age of onset, sex, associated mutations, and cell and organ type. However, both diffuse midline glioma and ovarian cancer have dysregulation of H3K27 methylation, triggering changes to the cancer cell transcriptome. In diffuse midline glioma, the loss of H3K27 methylation is a primary driving factor in tumorigenesis that promotes glial cell stemness and silences tumor suppressor genes. Conversely, hypermethylation of H3K27 occurs in late-stage epithelial ovarian cancer, which promotes tumor vascularization and tumor cell migration. By using each cancer type as a case study, this review emphasizes the importance of H3K27me3 in cancer while demonstrating that the mechanisms of histone H3 modification and subsequent gene expression changes are not a one-size-fits-all across cancer types.
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Affiliation(s)
- Charles A. Day
- Hormel Institute, University of Minnesota, Austin, MN 55912, USA
- Mayo Clinic, Rochester, MN 55902, USA
- Correspondence:
| | - Edward H. Hinchcliffe
- Hormel Institute, University of Minnesota, Austin, MN 55912, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA
| | - James P. Robinson
- Hormel Institute, University of Minnesota, Austin, MN 55912, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA
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21
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3D chromatin remodeling potentiates transcriptional programs driving cell invasion. Proc Natl Acad Sci U S A 2022; 119:e2203452119. [PMID: 36037342 PMCID: PMC9457068 DOI: 10.1073/pnas.2203452119] [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] [Indexed: 11/18/2022] Open
Abstract
The contribution of deregulated chromatin architecture, including topologically associated domains (TADs), to cancer progression remains ambiguous. CCCTC-binding factor (CTCF) is a central regulator of higher-order chromatin structure that undergoes copy number loss in over half of all breast cancers, but the impact of this defect on epigenetic programming and chromatin architecture remains unclear. We find that under physiological conditions, CTCF organizes subTADs to limit the expression of oncogenic pathways, including phosphatidylinositol 3-kinase (PI3K) and cell adhesion networks. Loss of a single CTCF allele potentiates cell invasion through compromised chromatin insulation and a reorganization of chromatin architecture and histone programming that facilitates de novo promoter-enhancer contacts. However, this change in the higher-order chromatin landscape leads to a vulnerability to inhibitors of mTOR. These data support a model whereby subTAD reorganization drives both modification of histones at de novo enhancer-promoter contacts and transcriptional up-regulation of oncogenic transcriptional networks.
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22
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Immunogenic Cell Death Enhances Immunotherapy of Diffuse Intrinsic Pontine Glioma: From Preclinical to Clinical Studies. Pharmaceutics 2022; 14:pharmaceutics14091762. [PMID: 36145510 PMCID: PMC9502387 DOI: 10.3390/pharmaceutics14091762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 08/02/2022] [Accepted: 08/20/2022] [Indexed: 11/16/2022] Open
Abstract
Diffuse intrinsic pontine glioma (DIPG) is the most lethal tumor involving the pediatric central nervous system. The median survival of children that are diagnosed with DIPG is only 9 to 11 months. More than 200 clinical trials have failed to increase the survival outcomes using conventional cytotoxic or myeloablative chemotherapy. Immunotherapy presents exciting therapeutic opportunities against DIPG that is characterized by unique and heterogeneous features. However, the non-inflammatory DIPG microenvironment greatly limits the role of immunotherapy in DIPG. Encouragingly, the induction of immunogenic cell death, accompanied by the release of damage-associated molecular patterns (DAMPs) shows satisfactory efficacy of immune stimulation and antitumor strategies. This review dwells on the dilemma and advances in immunotherapy for DIPG, and the potential efficacy of immunogenic cell death (ICD) in the immunotherapy of DIPG.
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23
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Pang D, Yu S, Yang X. A mini-review of the role of condensin in human nervous system diseases. Front Mol Neurosci 2022; 15:889796. [PMID: 35992200 PMCID: PMC9386267 DOI: 10.3389/fnmol.2022.889796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 07/07/2022] [Indexed: 01/10/2023] Open
Abstract
Mitosis and meiosis are crucial life activities that transmit eukaryotic genetic information to progeny in a stable and orderly manner. The formation and appearance of chromosomes, which are derived from chromatin, are the preconditions and signs of mitosis. When entering mitosis, interphase loose chromatin is highly spiralized and folded to form compact chromosomes. In recent years, it has been found that in addition to the well-known DNA, histones, and topoisomerase, a large protein complex called condensin plays an important role in the process of chromosome formation. Numerous studies have shown that the abnormal function of condensin can lead to incomplete or excessive concentration of chromatin, as well as disorder of genome organization process, abnormal transmission of genetic information, and ultimately lead to various diseases of individual, especially in nervous system diseases. In this review, the biological function of condensin and the potential pathogenic mechanism of condensin in nervous system diseases are briefly summarized. Therefore, the investigation of these mechanisms makes a significant contribution to the understanding of those related diseases and provides new ideas for clinical treatments.
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Affiliation(s)
- Du Pang
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin Neurological Institute, Tianjin, China
| | - Shengping Yu
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin Neurological Institute, Tianjin, China
- *Correspondence: Shengping Yu Xuejun Yang
| | - Xuejun Yang
- Department of Neurosurgery, Beijing Tsinghua Changgung Hospital, Affiliated Hospital of Tsinghua University, Beijing, China
- *Correspondence: Shengping Yu Xuejun Yang
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24
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Baratta AM, Brandner AJ, Plasil SL, Rice RC, Farris SP. Advancements in Genomic and Behavioral Neuroscience Analysis for the Study of Normal and Pathological Brain Function. Front Mol Neurosci 2022; 15:905328. [PMID: 35813067 PMCID: PMC9259865 DOI: 10.3389/fnmol.2022.905328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Accepted: 06/06/2022] [Indexed: 11/16/2022] Open
Abstract
Psychiatric and neurological disorders are influenced by an undetermined number of genes and molecular pathways that may differ among afflicted individuals. Functionally testing and characterizing biological systems is essential to discovering the interrelationship among candidate genes and understanding the neurobiology of behavior. Recent advancements in genetic, genomic, and behavioral approaches are revolutionizing modern neuroscience. Although these tools are often used separately for independent experiments, combining these areas of research will provide a viable avenue for multidimensional studies on the brain. Herein we will briefly review some of the available tools that have been developed for characterizing novel cellular and animal models of human disease. A major challenge will be openly sharing resources and datasets to effectively integrate seemingly disparate types of information and how these systems impact human disorders. However, as these emerging technologies continue to be developed and adopted by the scientific community, they will bring about unprecedented opportunities in our understanding of molecular neuroscience and behavior.
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Affiliation(s)
- Annalisa M. Baratta
- Center for Neuroscience, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Adam J. Brandner
- Center for Neuroscience, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Sonja L. Plasil
- Department of Pharmacology & Chemical Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Rachel C. Rice
- Center for Neuroscience, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Sean P. Farris
- Center for Neuroscience, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
- Department of Anesthesiology and Perioperative Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
- Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
- *Correspondence: Sean P. Farris,
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25
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Bromodomain and Extra-Terminal Protein Inhibitors: Biologic Insights and Therapeutic Potential in Pediatric Brain Tumors. Pharmaceuticals (Basel) 2022; 15:ph15060665. [PMID: 35745584 PMCID: PMC9227239 DOI: 10.3390/ph15060665] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 05/19/2022] [Accepted: 05/23/2022] [Indexed: 02/06/2023] Open
Abstract
Pediatric brain tumors have surpassed leukemia as the leading cause of cancer-related death in children. Several landmark studies from the last two decades have shown that many pediatric brain tumors are driven by epigenetic dysregulation within specific developmental contexts. One of the major determinants of epigenetic control is the histone code, which is orchestrated by a number of enzymes categorized as writers, erasers, and readers. Bromodomain and extra-terminal (BET) proteins are reader proteins that bind to acetylated lysines in histone tails and play a crucial role in regulating gene transcription. BET inhibitors have shown efficacy in a wide range of cancers, and a number have progressed to clinical phase testing. Here, we review the evidence for BET inhibitors in pediatric brain tumor experimental models, as well as their translational potential.
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26
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Lewis NA, Klein RH, Kelly C, Yee J, Knoepfler PS. Histone H3.3 K27M chromatin functions implicate a network of neurodevelopmental factors including ASCL1 and NEUROD1 in DIPG. Epigenetics Chromatin 2022; 15:18. [PMID: 35590427 PMCID: PMC9121554 DOI: 10.1186/s13072-022-00447-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 04/11/2022] [Indexed: 12/02/2022] Open
Abstract
Background The histone variant H3.3 K27M mutation is a defining characteristic of diffuse intrinsic pontine glioma (DIPG)/diffuse midline glioma (DMG). This histone mutation is responsible for major alterations to histone H3 post-translational modification (PTMs) and subsequent aberrant gene expression. However, much less is known about the effect this mutation has on chromatin structure and function, including open versus closed chromatin regions as well as their transcriptomic consequences. Results Recently, we developed isogenic CRISPR-edited DIPG cell lines that are wild-type for histone H3.3 that can be compared to their matched K27M lines. Here we show via ATAC-seq analysis that H3.3K27M glioma cells have unique accessible chromatin at regions corresponding to neurogenesis, NOTCH, and neuronal development pathways and associated genes that are overexpressed in H3.3K27M compared to our isogenic wild-type cell line. As to mechanisms, accessible enhancers and super-enhancers corresponding to increased gene expression in H3.3K27M cells were also mapped to genes involved in neurogenesis and NOTCH signaling, suggesting that these pathways are key to DIPG tumor maintenance. Motif analysis implicates specific transcription factors as central to the neuro-oncogenic K27M signaling pathway, in particular, ASCL1 and NEUROD1. Conclusions Altogether our findings indicate that H3.3K27M causes chromatin to take on a more accessible configuration at key regulatory regions for NOTCH and neurogenesis genes resulting in increased oncogenic gene expression, which is at least partially reversible upon editing K27M back to wild-type. Supplementary Information The online version contains supplementary material available at 10.1186/s13072-022-00447-6.
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Affiliation(s)
- Nichole A Lewis
- Department of Cell Biology and Human Anatomy, University of California Davis School of Medicine, Sacramento, CA, 95817, USA.,Genome Center, University of California Davis School of Medicine, Sacramento, CA, 95817, USA.,Institute of Pediatric Regenerative Medicine, Shriners Hospital for Children Northern California, Sacramento, CA, 95817, USA
| | - Rachel Herndon Klein
- Department of Cell Biology and Human Anatomy, University of California Davis School of Medicine, Sacramento, CA, 95817, USA.,Genome Center, University of California Davis School of Medicine, Sacramento, CA, 95817, USA.,Institute of Pediatric Regenerative Medicine, Shriners Hospital for Children Northern California, Sacramento, CA, 95817, USA
| | - Cailin Kelly
- Department of Cell Biology and Human Anatomy, University of California Davis School of Medicine, Sacramento, CA, 95817, USA.,Genome Center, University of California Davis School of Medicine, Sacramento, CA, 95817, USA.,Institute of Pediatric Regenerative Medicine, Shriners Hospital for Children Northern California, Sacramento, CA, 95817, USA
| | - Jennifer Yee
- Department of Cell Biology and Human Anatomy, University of California Davis School of Medicine, Sacramento, CA, 95817, USA.,Genome Center, University of California Davis School of Medicine, Sacramento, CA, 95817, USA.,Institute of Pediatric Regenerative Medicine, Shriners Hospital for Children Northern California, Sacramento, CA, 95817, USA
| | - Paul S Knoepfler
- Department of Cell Biology and Human Anatomy, University of California Davis School of Medicine, Sacramento, CA, 95817, USA. .,Genome Center, University of California Davis School of Medicine, Sacramento, CA, 95817, USA. .,Institute of Pediatric Regenerative Medicine, Shriners Hospital for Children Northern California, Sacramento, CA, 95817, USA.
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27
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Algorithmic reconstruction of glioblastoma network complexity. iScience 2022; 25:104179. [PMID: 35479408 PMCID: PMC9036113 DOI: 10.1016/j.isci.2022.104179] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 03/16/2022] [Accepted: 03/24/2022] [Indexed: 12/16/2022] Open
Abstract
Glioblastoma is a complex disease that is difficult to treat. Network and data science offer alternative approaches to classical bioinformatics pipelines to study gene expression patterns from single-cell datasets, helping to distinguish genes associated with the control of differentiation and aggression. To identify the key molecular regulators of the networks driving glioblastoma/GSC and predict their cell fate dynamics, we applied a host of data theoretic techniques to gene expression patterns from pediatric and adult glioblastoma, and adult glioma-derived stem cells (GSCs). We identified eight transcription factors (OLIG1/2, TAZ, GATA2, FOXG1, SOX6, SATB2, and YY1) and four signaling genes (ATL3, MTSS1, EMP1, and TPT1) as coordinators of cell state transitions and, thus, clinically targetable putative factors differentiating pediatric and adult glioblastomas from adult GSCs. Our study provides strong evidence of complex systems approaches for inferring complex dynamics from reverse-engineering gene networks, bolstering the search for new clinically relevant targets in glioblastoma. Complex cell fate attractors capture glioblastoma differentiation dynamics Graph theoretic approaches decode master regulators of GBM glioblastoma cell fate decisions Network dynamics of pediatric glioblastoma resemble adult GSCs Transcriptional networks may help reprogram glioblastoma behavioral patterns
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28
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Liu W, Zhong W, Chen J, Huang B, Hu M, Li Y. Understanding Regulatory Mechanisms of Brain Function and Disease through 3D Genome Organization. Genes (Basel) 2022; 13:genes13040586. [PMID: 35456393 PMCID: PMC9027261 DOI: 10.3390/genes13040586] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 03/17/2022] [Accepted: 03/23/2022] [Indexed: 02/01/2023] Open
Abstract
The human genome has a complex and dynamic three-dimensional (3D) organization, which plays a critical role for gene regulation and genome function. The importance of 3D genome organization in brain development and function has been well characterized in a region- and cell-type-specific fashion. Recent technological advances in chromosome conformation capture (3C)-based techniques, imaging approaches, and ligation-free methods, along with computational methods to analyze the data generated, have revealed 3D genome features at different scales in the brain that contribute to our understanding of genetic mechanisms underlying neuropsychiatric diseases and other brain-related traits. In this review, we discuss how these advances aid in the genetic dissection of brain-related traits.
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Affiliation(s)
- Weifang Liu
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (W.L.); (J.C.)
| | - Wujuan Zhong
- Biostatistics and Research Decision Sciences, Merck & Co., Inc., Rahway, NJ 07065, USA;
| | - Jiawen Chen
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (W.L.); (J.C.)
| | - Bo Huang
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94143, USA;
- Chan Zuckerberg Biohub, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94143, USA
| | - Ming Hu
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH 44195, USA
- Correspondence: (M.H.); (Y.L.)
| | - Yun Li
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (W.L.); (J.C.)
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Correspondence: (M.H.); (Y.L.)
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29
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Epigenetic mechanisms in paediatric brain tumours: regulators lose control. Biochem Soc Trans 2022; 50:167-185. [PMID: 35076654 DOI: 10.1042/bst20201227] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 11/28/2021] [Accepted: 12/23/2021] [Indexed: 12/11/2022]
Abstract
Epigenetic mechanisms are essential to regulate gene expression during normal development. However, they are often disrupted in pathological conditions including tumours, where they contribute to their formation and maintenance through altered gene expression. In recent years, next generation genomic techniques has allowed a remarkable advancement of our knowledge of the genetic and molecular landscape of paediatric brain tumours and have highlighted epigenetic deregulation as a common hallmark in their pathogenesis. This review describes the main epigenetic dysregulations found in paediatric brain tumours, including at DNA methylation and histone modifications level, in the activity of chromatin-modifying enzymes and in the expression of non-coding RNAs. How these altered processes influence tumour biology and how they can be leveraged to dissect the molecular heterogeneity of these tumours and contribute to their classification is also addressed. Finally, the availability and value of preclinical models as well as the current clinical trials exploring targeting key epigenetic mediators in paediatric brain tumours are discussed.
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30
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Hayden E, Holliday H, Lehmann R, Khan A, Tsoli M, Rayner BS, Ziegler DS. Therapeutic Targets in Diffuse Midline Gliomas-An Emerging Landscape. Cancers (Basel) 2021; 13:cancers13246251. [PMID: 34944870 PMCID: PMC8699135 DOI: 10.3390/cancers13246251] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 12/07/2021] [Accepted: 12/08/2021] [Indexed: 12/11/2022] Open
Abstract
Simple Summary Diffuse midline gliomas (DMGs) remain one of the most devastating childhood brain tumour types, for which there is currently no known cure. In this review we provide a summary of the existing knowledge of the molecular mechanisms underlying the pathogenesis of this disease, highlighting current analyses and novel treatment propositions. Together, the accumulation of these data will aid in the understanding and development of more effective therapeutic options for the treatment of DMGs. Abstract Diffuse midline gliomas (DMGs) are invariably fatal pediatric brain tumours that are inherently resistant to conventional therapy. In recent years our understanding of the underlying molecular mechanisms of DMG tumorigenicity has resulted in the identification of novel targets and the development of a range of potential therapies, with multiple agents now being progressed to clinical translation to test their therapeutic efficacy. Here, we provide an overview of the current therapies aimed at epigenetic and mutational drivers, cellular pathway aberrations and tumor microenvironment mechanisms in DMGs in order to aid therapy development and facilitate a holistic approach to patient treatment.
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Affiliation(s)
- Elisha Hayden
- Children’s Cancer Institute, Lowy Cancer Research Centre, UNSW Sydney, Kensington 2052, Australia; (E.H.); (H.H.); (R.L.); (A.K.); (M.T.); (B.S.R.)
| | - Holly Holliday
- Children’s Cancer Institute, Lowy Cancer Research Centre, UNSW Sydney, Kensington 2052, Australia; (E.H.); (H.H.); (R.L.); (A.K.); (M.T.); (B.S.R.)
- School of Women’s and Children’s Health, Faculty of Medicine, University of New South Wales, Kensington 2052, Australia
| | - Rebecca Lehmann
- Children’s Cancer Institute, Lowy Cancer Research Centre, UNSW Sydney, Kensington 2052, Australia; (E.H.); (H.H.); (R.L.); (A.K.); (M.T.); (B.S.R.)
- School of Women’s and Children’s Health, Faculty of Medicine, University of New South Wales, Kensington 2052, Australia
| | - Aaminah Khan
- Children’s Cancer Institute, Lowy Cancer Research Centre, UNSW Sydney, Kensington 2052, Australia; (E.H.); (H.H.); (R.L.); (A.K.); (M.T.); (B.S.R.)
| | - Maria Tsoli
- Children’s Cancer Institute, Lowy Cancer Research Centre, UNSW Sydney, Kensington 2052, Australia; (E.H.); (H.H.); (R.L.); (A.K.); (M.T.); (B.S.R.)
- School of Women’s and Children’s Health, Faculty of Medicine, University of New South Wales, Kensington 2052, Australia
| | - Benjamin S. Rayner
- Children’s Cancer Institute, Lowy Cancer Research Centre, UNSW Sydney, Kensington 2052, Australia; (E.H.); (H.H.); (R.L.); (A.K.); (M.T.); (B.S.R.)
- School of Women’s and Children’s Health, Faculty of Medicine, University of New South Wales, Kensington 2052, Australia
| | - David S. Ziegler
- Children’s Cancer Institute, Lowy Cancer Research Centre, UNSW Sydney, Kensington 2052, Australia; (E.H.); (H.H.); (R.L.); (A.K.); (M.T.); (B.S.R.)
- School of Women’s and Children’s Health, Faculty of Medicine, University of New South Wales, Kensington 2052, Australia
- Kids Cancer Centre, Sydney Children’s Hospital, Randwick 2031, Australia
- Correspondence: ; Tel.: +61-2-9382-1730; Fax: +61-2-9382-1789
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