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Purshouse K, Pollard SM, Bickmore WA. Imaging extrachromosomal DNA (ecDNA) in cancer. Histochem Cell Biol 2024; 162:53-64. [PMID: 38625562 PMCID: PMC7616135 DOI: 10.1007/s00418-024-02280-2] [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] [Accepted: 03/19/2024] [Indexed: 04/17/2024]
Abstract
Extrachromosomal DNA (ecDNA) are circular regions of DNA that are found in many cancers. They are an important means of oncogene amplification, and correlate with treatment resistance and poor prognosis. Consequently, there is great interest in exploring and targeting ecDNA vulnerabilities as potential new therapeutic targets for cancer treatment. However, the biological significance of ecDNA and their associated regulatory control remains unclear. Light microscopy has been a central tool in the identification and characterisation of ecDNA. In this review we describe the different cellular models available to study ecDNA, and the imaging tools used to characterise ecDNA and their regulation. The insights gained from quantitative imaging are discussed in comparison with genome sequencing and computational approaches. We suggest that there is a crucial need for ongoing innovation using imaging if we are to achieve a full understanding of the dynamic regulation and organisation of ecDNA and their role in tumourigenesis.
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Affiliation(s)
- Karin Purshouse
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
- Centre for Regenerative Medicine, Institute for Regeneration and Repair & Cancer Research UK Scotland Centre, University of Edinburgh, Edinburgh, UK
- Edinburgh Cancer Research UK Centre, University of Edinburgh, Edinburgh, UK
| | - Steven M Pollard
- Centre for Regenerative Medicine, Institute for Regeneration and Repair & Cancer Research UK Scotland Centre, University of Edinburgh, Edinburgh, UK
- Edinburgh Cancer Research UK Centre, University of Edinburgh, Edinburgh, UK
| | - Wendy A Bickmore
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
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2
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Zhu K, Jones MG, Luebeck J, Bu X, Yi H, Hung KL, Wong ITL, Zhang S, Mischel PS, Chang HY, Bafna V. CoRAL accurately resolves extrachromosomal DNA genome structures with long-read sequencing. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.15.580594. [PMID: 38405779 PMCID: PMC10888815 DOI: 10.1101/2024.02.15.580594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Extrachromosomal DNA (ecDNA) is a central mechanism for focal oncogene amplification in cancer, occurring in approximately 15% of early stage cancers and 30% of late-stage cancers. EcDNAs drive tumor formation, evolution, and drug resistance by dynamically modulating oncogene copy-number and rewiring gene-regulatory networks. Elucidating the genomic architecture of ecDNA amplifications is critical for understanding tumor pathology and developing more effective therapies. Paired-end short-read (Illumina) sequencing and mapping have been utilized to represent ecDNA amplifications using a breakpoint graph, where the inferred architecture of ecDNA is encoded as a cycle in the graph. Traversals of breakpoint graph have been used to successfully predict ecDNA presence in cancer samples. However, short-read technologies are intrinsically limited in the identification of breakpoints, phasing together of complex rearrangements and internal duplications, and deconvolution of cell-to-cell heterogeneity of ecDNA structures. Long-read technologies, such as from Oxford Nanopore Technologies, have the potential to improve inference as the longer reads are better at mapping structural variants and are more likely to span rearranged or duplicated regions. Here, we propose CoRAL (Complete Reconstruction of Amplifications with Long reads), for reconstructing ecDNA architectures using long-read data. CoRAL reconstructs likely cyclic architectures using quadratic programming that simultaneously optimizes parsimony of reconstruction, explained copy number, and consistency of long-read mapping. CoRAL substantially improves reconstructions in extensive simulations and 9 datasets from previously-characterized cell-lines as compared to previous short-read-based tools. As long-read usage becomes wide-spread, we anticipate that CoRAL will be a valuable tool for profiling the landscape and evolution of focal amplifications in tumors.
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Affiliation(s)
- Kaiyuan Zhu
- Department of Computer Science & Engineering, UC San Diego, La Jolla, CA, USA
- These authors contributed equally to this work
| | - Matthew G. Jones
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
- These authors contributed equally to this work
| | - Jens Luebeck
- Department of Computer Science & Engineering, UC San Diego, La Jolla, CA, USA
| | - Xinxin Bu
- Bioinformatics Undergraduate Program, School of Biological Sciences, UC San Diego, La Jolla, CA, USA
| | - Hyerim Yi
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - King L. Hung
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - Ivy Tsz-Lo Wong
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Sarafan Chemistry, Engineering, and Medicine for Human Health (Sarafan ChEM-H), Stanford University, Stanford, CA, USA
| | - Shu Zhang
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - Paul S. Mischel
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Sarafan Chemistry, Engineering, and Medicine for Human Health (Sarafan ChEM-H), Stanford University, Stanford, CA, USA
| | - Howard Y. Chang
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
- Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA
| | - Vineet Bafna
- Department of Computer Science & Engineering, UC San Diego, La Jolla, CA, USA
- Halicioglu Data Science Institute, UC San Diego, La Jolla, CA, USA
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3
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Zhou L, Tang W, Ye B, Zou L. Characterization, biogenesis model, and current bioinformatics of human extrachromosomal circular DNA. Front Genet 2024; 15:1385150. [PMID: 38746056 PMCID: PMC11092383 DOI: 10.3389/fgene.2024.1385150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Accepted: 04/12/2024] [Indexed: 05/16/2024] Open
Abstract
Human extrachromosomal circular DNA, or eccDNA, has been the topic of extensive investigation in the last decade due to its prominent regulatory role in the development of disorders including cancer. With the rapid advancement of experimental, sequencing and computational technology, millions of eccDNA records are now accessible. Unfortunately, the literature and databases only provide snippets of this information, preventing us from fully understanding eccDNAs. Researchers frequently struggle with the process of selecting algorithms and tools to examine eccDNAs of interest. To explain the underlying formation mechanisms of the five basic classes of eccDNAs, we categorized their characteristics and functions and summarized eight biogenesis theories. Most significantly, we created a clear procedure to help in the selection of suitable techniques and tools and thoroughly examined the most recent experimental and bioinformatics methodologies and data resources for identifying, measuring and analyzing eccDNA sequences. In conclusion, we highlighted the current obstacles and prospective paths for eccDNA research, specifically discussing their probable uses in molecular diagnostics and clinical prediction, with an emphasis on the potential contribution of novel computational strategies.
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Affiliation(s)
- Lina Zhou
- School of Medicine, Chongqing University, Department of Clinical Data Research, Chongqing Emergency Medical Center, Chongqing University Central Hospital, Chongqing University, Chongqing, China
| | - Wenyi Tang
- School of Medicine, Chongqing University, Department of Clinical Data Research, Chongqing Emergency Medical Center, Chongqing University Central Hospital, Chongqing University, Chongqing, China
| | - Bo Ye
- School of Medicine, Chongqing University, Department of Clinical Data Research, Chongqing Emergency Medical Center, Chongqing University Central Hospital, Chongqing University, Chongqing, China
| | - Lingyun Zou
- School of Medicine, Chongqing University, Department of Clinical Data Research, Chongqing Emergency Medical Center, Chongqing University Central Hospital, Chongqing University, Chongqing, China
- School of Medicine, Jinan University, Guangzhou, Guangdong, China
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4
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Deng E, Fan X. Categorizing Extrachromosomal Circular DNA as Biomarkers in Serum of Cancer. Biomolecules 2024; 14:488. [PMID: 38672504 PMCID: PMC11048305 DOI: 10.3390/biom14040488] [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: 02/23/2024] [Revised: 04/07/2024] [Accepted: 04/10/2024] [Indexed: 04/28/2024] Open
Abstract
Extrachromosomal circular DNA (eccDNA), a double-stranded circular DNA molecule found in multiple organisms, has garnered an increasing amount of attention in recent years due to its close association with the initiation, malignant progression, and heterogeneous evolution of cancer. The presence of eccDNA in serum assists in non-invasive tumor diagnosis as a biomarker that can be assessed via liquid biopsies. Furthermore, the specific expression patterns of eccDNA provide new insights into personalized cancer therapy. EccDNA plays a pivotal role in tumorigenesis, development, diagnosis, and treatment. In this review, we comprehensively outline the research trajectory of eccDNA, discuss its role as a diagnostic and prognostic biomarker, and elucidate its regulatory mechanisms in cancer. In particular, we emphasize the potential application value of eccDNA in cancer diagnosis and treatment and anticipate the development of novel tumor diagnosis strategies based on serum eccDNA in the future.
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Affiliation(s)
- Enze Deng
- Guangzhou National Laboratory, No. 9 XingDaoHuanBei Road, Guangzhou International Bio Island, Guangzhou 510005, China
| | - Xiaoying Fan
- Guangzhou National Laboratory, No. 9 XingDaoHuanBei Road, Guangzhou International Bio Island, Guangzhou 510005, China
- GMU-GIBH Joint School of Life Sciences, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 510005, China
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5
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Rodriguez I, Rossi NM, Keskus AG, Xie Y, Ahmad T, Bryant A, Lou H, Paredes JG, Milano R, Rao N, Tulsyan S, Boland JF, Luo W, Liu J, O'Hanlon T, Bess J, Mukhina V, Gaykalova D, Yuki Y, Malik L, Billingsley KJ, Blauwendraat C, Carrington M, Yeager M, Mirabello L, Kolmogorov M, Dean M. Insights into the mechanisms and structure of breakage-fusion-bridge cycles in cervical cancer using long-read sequencing. Am J Hum Genet 2024; 111:544-561. [PMID: 38307027 PMCID: PMC10940022 DOI: 10.1016/j.ajhg.2024.01.002] [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: 08/18/2023] [Revised: 12/20/2023] [Accepted: 01/04/2024] [Indexed: 02/04/2024] Open
Abstract
Cervical cancer is caused by human papillomavirus (HPV) infection, has few approved targeted therapeutics, and is the most common cause of cancer death in low-resource countries. We characterized 19 cervical and four head and neck cancer cell lines using long-read DNA and RNA sequencing and identified the HPV types, HPV integration sites, chromosomal alterations, and cancer driver mutations. Structural variation analysis revealed telomeric deletions associated with DNA inversions resulting from breakage-fusion-bridge (BFB) cycles. BFB is a common mechanism of chromosomal alterations in cancer, and our study applies long-read sequencing to this important chromosomal rearrangement type. Analysis of the inversion sites revealed staggered ends consistent with exonuclease digestion of the DNA after breakage. Some BFB events are complex, involving inter- or intra-chromosomal insertions or rearrangements. None of the BFB breakpoints had telomere sequences added to resolve the dicentric chromosomes, and only one BFB breakpoint showed chromothripsis. Five cell lines have a chromosomal region 11q BFB event, with YAP1-BIRC3-BIRC2 amplification. Indeed, YAP1 amplification is associated with a 10-year-earlier age of diagnosis of cervical cancer and is three times more common in African American women. This suggests that individuals with cervical cancer and YAP1-BIRC3-BIRC2 amplification, especially those of African ancestry, might benefit from targeted therapy. In summary, we uncovered valuable insights into the mechanisms and consequences of BFB cycles in cervical cancer using long-read sequencing.
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Affiliation(s)
- Isabel Rodriguez
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Nicole M Rossi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Ayse G Keskus
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Yi Xie
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Tanveer Ahmad
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Asher Bryant
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Hong Lou
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA
| | - Jesica Godinez Paredes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Rose Milano
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Nina Rao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA; Department of Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Sonam Tulsyan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Joseph F Boland
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA
| | - Wen Luo
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA
| | - Jia Liu
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA
| | - Tim O'Hanlon
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA
| | - Jazmyn Bess
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Vera Mukhina
- Department of Otorhinolaryngology-Head and Neck Surgery, University of Maryland School of Medical Center, Baltimore, MD, USA
| | - Daria Gaykalova
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA; Marlene & Stewart Greenebaum Comprehensive Cancer Center, University of Maryland Medical System, Baltimore, MD, USA; Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, USA
| | - Yuko Yuki
- Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Laksh Malik
- Center for Alzheimer's and Related Dementias, National Institute on Aging, Bethesda, MD, USA
| | | | - Cornelis Blauwendraat
- Center for Alzheimer's and Related Dementias, National Institute on Aging, Bethesda, MD, USA; Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA
| | - Mary Carrington
- Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA; Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA
| | - Meredith Yeager
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA
| | - Lisa Mirabello
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Mikhail Kolmogorov
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Michael Dean
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
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6
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Wang S, Wu CY, He MM, Yong JX, Chen YX, Qian LM, Zhang JL, Zeng ZL, Xu RH, Wang F, Zhao Q. Machine learning-based extrachromosomal DNA identification in large-scale cohorts reveals its clinical implications in cancer. Nat Commun 2024; 15:1515. [PMID: 38373991 PMCID: PMC10876971 DOI: 10.1038/s41467-024-45479-6] [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: 07/04/2023] [Accepted: 01/24/2024] [Indexed: 02/21/2024] Open
Abstract
The clinical implications of extrachromosomal DNA (ecDNA) in cancer therapy remain largely elusive. Here, we present a comprehensive analysis of ecDNA amplification spectra and their association with clinical and molecular features in multiple cohorts comprising over 13,000 pan-cancer patients. Using our developed computational framework, GCAP, and validating it with multifaceted approaches, we reveal a consistent pan-cancer pattern of mutual exclusivity between ecDNA amplification and microsatellite instability (MSI). In addition, we establish the role of ecDNA amplification as a risk factor and refine genomic subtypes in a cohort from 1015 colorectal cancer patients. Importantly, our investigation incorporates data from four clinical trials focused on anti-PD-1 immunotherapy, demonstrating the pivotal role of ecDNA amplification as a biomarker for guiding checkpoint blockade immunotherapy in gastrointestinal cancer. This finding represents clinical evidence linking ecDNA amplification to the effectiveness of immunotherapeutic interventions. Overall, our study provides a proof-of-concept of identifying ecDNA amplification from cancer whole-exome sequencing (WES) data, highlighting the potential of ecDNA amplification as a valuable biomarker for facilitating personalized cancer treatment.
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Affiliation(s)
- Shixiang Wang
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Chen-Yi Wu
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Ming-Ming He
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Jia-Xin Yong
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Yan-Xing Chen
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Li-Mei Qian
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Jin-Ling Zhang
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Zhao-Lei Zeng
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Rui-Hua Xu
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, 510060, China.
| | - Feng Wang
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.
| | - Qi Zhao
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.
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7
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Wu N, Wei L, Zhu Z, Liu Q, Li K, Mao F, Qiao J, Zhao X. Innovative insights into extrachromosomal circular DNAs in gynecologic tumors and reproduction. Protein Cell 2024; 15:6-20. [PMID: 37233789 PMCID: PMC10762679 DOI: 10.1093/procel/pwad032] [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: 03/20/2023] [Accepted: 05/03/2023] [Indexed: 05/27/2023] Open
Abstract
Originating but free from chromosomal DNA, extrachromosomal circular DNAs (eccDNAs) are organized in circular form and have long been found in unicellular and multicellular eukaryotes. Their biogenesis and function are poorly understood as they are characterized by sequence homology with linear DNA, for which few detection methods are available. Recent advances in high-throughput sequencing technologies have revealed that eccDNAs play crucial roles in tumor formation, evolution, and drug resistance as well as aging, genomic diversity, and other biological processes, bringing it back to the research hotspot. Several mechanisms of eccDNA formation have been proposed, including the breakage-fusion-bridge (BFB) and translocation-deletion-amplification models. Gynecologic tumors and disorders of embryonic and fetal development are major threats to human reproductive health. The roles of eccDNAs in these pathological processes have been partially elucidated since the first discovery of eccDNA in pig sperm and the double minutes in ovarian cancer ascites. The present review summarized the research history, biogenesis, and currently available detection and analytical methods for eccDNAs and clarified their functions in gynecologic tumors and reproduction. We also proposed the application of eccDNAs as drug targets and liquid biopsy markers for prenatal diagnosis and the early detection, prognosis, and treatment of gynecologic tumors. This review lays theoretical foundations for future investigations into the complex regulatory networks of eccDNAs in vital physiological and pathological processes.
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Affiliation(s)
- Ning Wu
- State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Center for Reproductive Medicine, Peking University Third Hospital, Beijing 100191, China
- National Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
- Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing 100191, China
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing 100191, China
| | - Ling Wei
- Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing 100191, China
- Cancer Center, Peking University Third Hospital, Beijing 100191, China
| | - Zhipeng Zhu
- Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing 100191, China
- Cancer Center, Peking University Third Hospital, Beijing 100191, China
| | - Qiang Liu
- State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Center for Reproductive Medicine, Peking University Third Hospital, Beijing 100191, China
- National Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
- Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing 100191, China
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing 100191, China
| | - Kailong Li
- Department of Biochemistry and Biophysics, Beijing Key Laboratory of Protein Posttranslational Modifications and Cell Function, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China
| | - Fengbiao Mao
- Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing 100191, China
- Cancer Center, Peking University Third Hospital, Beijing 100191, China
| | - Jie Qiao
- State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Center for Reproductive Medicine, Peking University Third Hospital, Beijing 100191, China
- National Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
- Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing 100191, China
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing 100191, China
- Beijing Advanced Innovation Center for Genomics, Beijing 100191, China
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100191, China
| | - Xiaolu Zhao
- State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Center for Reproductive Medicine, Peking University Third Hospital, Beijing 100191, China
- National Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
- Key Laboratory of Assisted Reproduction (Peking University), Ministry of Education, Beijing 100191, China
- Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing 100191, China
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8
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Dehkordi SR, Wong ITL, Ni J, Luebeck J, Zhu K, Prasad G, Krockenberger L, Xu G, Chowdhury B, Rajkumar U, Caplin A, Muliaditan D, Coruh C, Jin Q, Turner K, Teo SX, Pang AWC, Alexandrov LB, Chua CEL, Furnari FB, Paulson TG, Law JA, Chang HY, Yue F, DasGupta R, Zhao J, Mischel PS, Bafna V. Breakage fusion bridge cycles drive high oncogene copy number, but not intratumoral genetic heterogeneity or rapid cancer genome change. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.12.571349. [PMID: 38168210 PMCID: PMC10760206 DOI: 10.1101/2023.12.12.571349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Oncogene amplification is a major driver of cancer pathogenesis. Breakage fusion bridge (BFB) cycles, like extrachromosomal DNA (ecDNA), can lead to high copy numbers of oncogenes, but their impact on intratumoral heterogeneity, treatment response, and patient survival are not well understood due to difficulty in detecting them by DNA sequencing. We describe a novel algorithm that detects and reconstructs BFB amplifications using optical genome maps (OGMs), called OM2BFB. OM2BFB showed high precision (>93%) and recall (92%) in detecting BFB amplifications in cancer cell lines, PDX models and primary tumors. OM-based comparisons demonstrated that short-read BFB detection using our AmpliconSuite (AS) toolkit also achieved high precision, albeit with reduced sensitivity. We detected 371 BFB events using whole genome sequences from 2,557 primary tumors and cancer lines. BFB amplifications were preferentially found in cervical, head and neck, lung, and esophageal cancers, but rarely in brain cancers. BFB amplified genes show lower variance of gene expression, with fewer options for regulatory rewiring relative to ecDNA amplified genes. BFB positive (BFB (+)) tumors showed reduced heterogeneity of amplicon structures, and delayed onset of resistance, relative to ecDNA(+) tumors. EcDNA and BFB amplifications represent contrasting mechanisms to increase the copy numbers of oncogene with markedly different characteristics that suggest different routes for intervention.
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Affiliation(s)
- Siavash Raeisi Dehkordi
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
| | - Ivy Tsz-Lo Wong
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA
| | - Jing Ni
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215 USA
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115 USA
| | - Jens Luebeck
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
- Bioinformatics and Systems Biology Graduate Program, University of California San Diego, San Diego, CA, USA
| | - Kaiyuan Zhu
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
| | - Gino Prasad
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
| | - Lena Krockenberger
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
| | - Guanghui Xu
- Plant Molecular and Cellular Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, 92037, USA
| | - Biswanath Chowdhury
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
| | - Utkrisht Rajkumar
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
| | - Ann Caplin
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
| | - Daniel Muliaditan
- Laboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
| | - Ceyda Coruh
- Plant Molecular and Cellular Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, 92037, USA
- ClearNote Health, San Diego, CA 92121 USA
| | - Qiushi Jin
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine Northwestern University, Chicago, IL, USA
| | | | - Shu Xian Teo
- Singapore Nuclear Research and Safety Initiative, National University of Singapore
| | | | - Ludmil B Alexandrov
- Moores Cancer Center, UC San Diego Health, La Jolla, CA, USA
- Department of Cellular and Molecular Medicine, University of California at San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California at San Diego, La Jolla, CA, USA
| | | | - Frank B Furnari
- Department of Medicine, University of California at San Diego, La Jolla, CA, USA
| | - Thomas G Paulson
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Julie A Law
- Plant Molecular and Cellular Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, 92037, USA
- Division of Biological Sciences, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Howard Y Chang
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
- Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Feng Yue
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine Northwestern University, Chicago, IL, USA
- Robert H. Lurie Comprehensive Cancer Center of Northwestern University, Chicago, IL, USA
| | - Ramanuj DasGupta
- Laboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
| | - Jean Zhao
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215 USA
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115 USA
| | - Paul S Mischel
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA
| | - Vineet Bafna
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
- Halıcıoğlu Data Science Institute, University of California at San Diego, La Jolla, CA, USA
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9
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Zhao X, Zhao H, Liu Y, Guo Z. Methods, bioinformatics tools and databases in ecDNA research: An overview. Comput Biol Med 2023; 167:107680. [PMID: 37976817 DOI: 10.1016/j.compbiomed.2023.107680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 09/25/2023] [Accepted: 11/06/2023] [Indexed: 11/19/2023]
Abstract
Extrachromosomal DNA (ecDNA), derived from chromosomes, is a cancer-specific circular DNA molecule. EcDNA drives tumor initiation and progression, which is associated with poor clinical outcomes and drug resistance in a wide range of cancers. Although ecDNA was first discovered in 1965, tremendous technological revolutions in recent years have provided crucial new insights into its key biological functions and regulatory mechanisms. Here, we provide a thorough overview of the methods, bioinformatics tools, and database resources used in ecDNA research, mainly focusing on their performance, strengths, and limitations. This study can provide important reference for selecting the most appropriate method in ecDNA research. Furthermore, we offer suggestions for the current bioinformatics analysis of ecDNA and provide an outlook to the future research.
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Affiliation(s)
- Xinyu Zhao
- School of Life Sciences and Engineering, Southwest Jiaotong University, Chengdu, 610031, China
| | - Huan Zhao
- Key Laboratory of Marine Bio-resource Restoration and Habitat Reparation, Dalian Ocean University, Dalian, 116023, China
| | - Yupeng Liu
- School of Life Sciences and Engineering, Southwest Jiaotong University, Chengdu, 610031, China
| | - Zhiyun Guo
- School of Life Sciences and Engineering, Southwest Jiaotong University, Chengdu, 610031, China.
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10
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Chapman OS, Luebeck J, Sridhar S, Wong ITL, Dixit D, Wang S, Prasad G, Rajkumar U, Pagadala MS, Larson JD, He BJ, Hung KL, Lange JT, Dehkordi SR, Chandran S, Adam M, Morgan L, Wani S, Tiwari A, Guccione C, Lin Y, Dutta A, Lo YY, Juarez E, Robinson JT, Korshunov A, Michaels JEA, Cho YJ, Malicki DM, Coufal NG, Levy ML, Hobbs C, Scheuermann RH, Crawford JR, Pomeroy SL, Rich JN, Zhang X, Chang HY, Dixon JR, Bagchi A, Deshpande AJ, Carter H, Fraenkel E, Mischel PS, Wechsler-Reya RJ, Bafna V, Mesirov JP, Chavez L. Circular extrachromosomal DNA promotes tumor heterogeneity in high-risk medulloblastoma. Nat Genet 2023; 55:2189-2199. [PMID: 37945900 PMCID: PMC10703696 DOI: 10.1038/s41588-023-01551-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 09/22/2023] [Indexed: 11/12/2023]
Abstract
Circular extrachromosomal DNA (ecDNA) in patient tumors is an important driver of oncogenic gene expression, evolution of drug resistance and poor patient outcomes. Applying computational methods for the detection and reconstruction of ecDNA across a retrospective cohort of 481 medulloblastoma tumors from 465 patients, we identify circular ecDNA in 82 patients (18%). Patients with ecDNA-positive medulloblastoma were more than twice as likely to relapse and three times as likely to die within 5 years of diagnosis. A subset of tumors harbored multiple ecDNA lineages, each containing distinct amplified oncogenes. Multimodal sequencing, imaging and CRISPR inhibition experiments in medulloblastoma models reveal intratumoral heterogeneity of ecDNA copy number per cell and frequent putative 'enhancer rewiring' events on ecDNA. This study reveals the frequency and diversity of ecDNA in medulloblastoma, stratified into molecular subgroups, and suggests copy number heterogeneity and enhancer rewiring as oncogenic features of ecDNA.
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Affiliation(s)
- Owen S Chapman
- Bioinformatics and Systems Biology Graduate Program, University of California San Diego, San Diego, CA, USA
- Department of Medicine, University of California San Diego, San Diego, CA, USA
- Sanford Burnham Prebys Medical Discovery Institute, San Diego, CA, USA
| | - Jens Luebeck
- Bioinformatics and Systems Biology Graduate Program, University of California San Diego, San Diego, CA, USA
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
| | - Sunita Sridhar
- Department of Medicine, University of California San Diego, San Diego, CA, USA
- Department of Pediatrics, UC San Diego and Rady Children's Hospital, San Diego, CA, USA
| | - Ivy Tsz-Lo Wong
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA
| | - Deobrat Dixit
- Sanford Burnham Prebys Medical Discovery Institute, San Diego, CA, USA
- Department of Neurology and Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Shanqing Wang
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
| | - Gino Prasad
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
| | - Utkrisht Rajkumar
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
| | - Meghana S Pagadala
- Medical Scientist Training Program, University of California San Diego, San Diego, CA, USA
- Biomedical Sciences Graduate Program, University of California San Diego, San Diego, CA, USA
| | - Jon D Larson
- Sanford Burnham Prebys Medical Discovery Institute, San Diego, CA, USA
| | - Britney Jiayu He
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - King L Hung
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - Joshua T Lange
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA
| | - Siavash R Dehkordi
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
| | | | - Miriam Adam
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Ling Morgan
- Department of Medicine, University of California San Diego, San Diego, CA, USA
| | - Sameena Wani
- Sanford Burnham Prebys Medical Discovery Institute, San Diego, CA, USA
| | - Ashutosh Tiwari
- Sanford Burnham Prebys Medical Discovery Institute, San Diego, CA, USA
| | - Caitlin Guccione
- Bioinformatics and Systems Biology Graduate Program, University of California San Diego, San Diego, CA, USA
- Department of Medicine, University of California San Diego, San Diego, CA, USA
| | - Yingxi Lin
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
| | - Aditi Dutta
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
| | - Yan Yuen Lo
- Sanford Burnham Prebys Medical Discovery Institute, San Diego, CA, USA
- Rady Children's Institute for Genomic Medicine, Rady Children's Hospital and Healthcare Center, San Diego, CA, USA
| | - Edwin Juarez
- Department of Medicine, University of California San Diego, San Diego, CA, USA
| | - James T Robinson
- Department of Medicine, University of California San Diego, San Diego, CA, USA
| | - Andrey Korshunov
- Clinical Cooperation Unit Neuropathology (B300), German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), and National Center for Tumor Diseases (NCT), Im Neuenheimer Feld 280, Heidelberg, Germany
| | - John-Edward A Michaels
- Papé Pediatric Research Institute, Department of Pediatrics and Knight Cancer Insitute, Oregon Health and Sciences University, Portland, OR, USA
| | - Yoon-Jae Cho
- Papé Pediatric Research Institute, Department of Pediatrics and Knight Cancer Insitute, Oregon Health and Sciences University, Portland, OR, USA
| | - Denise M Malicki
- Division of Pathology, UC San Diego and Rady Children's Hospital, San Diego, CA, USA
| | - Nicole G Coufal
- Department of Pediatrics, UC San Diego and Rady Children's Hospital, San Diego, CA, USA
| | - Michael L Levy
- Division of Pathology, UC San Diego and Rady Children's Hospital, San Diego, CA, USA
| | - Charlotte Hobbs
- Rady Children's Institute for Genomic Medicine, Rady Children's Hospital and Healthcare Center, San Diego, CA, USA
| | - Richard H Scheuermann
- J. Craig Venter Institute, La Jolla, CA, USA
- Department of Pathology, University of California San Diego, San Diego, CA, USA
| | - John R Crawford
- Department of Pediatrics, University of California Irvine and Children's Hospital Orange County, Irvine, CA, USA
| | - Scott L Pomeroy
- Eli and Edythe Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Neurology, Boston Children's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Jeremy N Rich
- UPMC Hillman Cancer Center, Pittsburgh, PA, USA
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Xinlian Zhang
- Division of Biostatistics and Bioinformatics, Department of Family Medicine and Public Health, University of California San Diego, San Diego, CA, USA
| | - Howard Y Chang
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
- Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Jesse R Dixon
- Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Anindya Bagchi
- Sanford Burnham Prebys Medical Discovery Institute, San Diego, CA, USA
| | | | - Hannah Carter
- Department of Medicine, University of California San Diego, San Diego, CA, USA
- Moores Cancer Center, University of California San Diego, San Diego, CA, USA
| | - Ernest Fraenkel
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- Eli and Edythe Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Paul S Mischel
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA
| | - Robert J Wechsler-Reya
- Sanford Burnham Prebys Medical Discovery Institute, San Diego, CA, USA
- Department of Neurology and Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Vineet Bafna
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
- Moores Cancer Center, University of California San Diego, San Diego, CA, USA
| | - Jill P Mesirov
- Department of Medicine, University of California San Diego, San Diego, CA, USA
- Moores Cancer Center, University of California San Diego, San Diego, CA, USA
| | - Lukas Chavez
- Department of Medicine, University of California San Diego, San Diego, CA, USA.
- Sanford Burnham Prebys Medical Discovery Institute, San Diego, CA, USA.
- Rady Children's Institute for Genomic Medicine, Rady Children's Hospital and Healthcare Center, San Diego, CA, USA.
- Moores Cancer Center, University of California San Diego, San Diego, CA, USA.
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11
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Lin D, Zou Y, Li X, Wang J, Xiao Q, Gao X, Lin F, Zhang N, Jiao M, Guo Y, Teng Z, Li S, Wei Y, Zhou F, Yin R, Zhang S, Xing L, Xu W, Wu X, Yang B, Xiao K, Wu C, Tao Y, Yang X, Zhang J, Hu S, Dong S, Li X, Ye S, Hong Z, Pan Y, Yang Y, Sun H, Cao G. MGA-seq: robust identification of extrachromosomal DNA and genetic variants using multiple genetic abnormality sequencing. Genome Biol 2023; 24:247. [PMID: 37904244 PMCID: PMC10614391 DOI: 10.1186/s13059-023-03081-x] [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: 02/05/2023] [Accepted: 10/04/2023] [Indexed: 11/01/2023] Open
Abstract
Genomic abnormalities are strongly associated with cancer and infertility. In this study, we develop a simple and efficient method - multiple genetic abnormality sequencing (MGA-Seq) - to simultaneously detect structural variation, copy number variation, single-nucleotide polymorphism, homogeneously staining regions, and extrachromosomal DNA (ecDNA) from a single tube. MGA-Seq directly sequences proximity-ligated genomic fragments, yielding a dataset with concurrent genome three-dimensional and whole-genome sequencing information, enabling approximate localization of genomic structural variations and facilitating breakpoint identification. Additionally, by utilizing MGA-Seq, we map focal amplification and oncogene coamplification, thus facilitating the exploration of ecDNA's transcriptional regulatory function.
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Affiliation(s)
- Da Lin
- Precision Research Center for Refractory Diseases, Institute for Clinical Research, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Yanyan Zou
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Informatics, Huazhong Agricultural University, Wuhan, China
| | - Xinyu Li
- Precision Research Center for Refractory Diseases, Institute for Clinical Research, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jinyue Wang
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Bio-Medicine and Health, Huazhong Agricultural University, Wuhan, China
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Qin Xiao
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Bio-Medicine and Health, Huazhong Agricultural University, Wuhan, China
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Xiaochen Gao
- Precision Research Center for Refractory Diseases, Institute for Clinical Research, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fei Lin
- Reproductive Medical Center, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Ningyuan Zhang
- Reproductive Medical Center, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Ming Jiao
- Department of Laboratory Animal Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Guo
- Department of Laboratory Animal Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhaowei Teng
- The First People's Hospital of Yunnan Province, Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
| | - Shiyi Li
- Baylor College of Medicine, Houston, TX, USA
- Department of Radiation & Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yongchang Wei
- Department of Radiation & Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China
- Hubei Key Laboratory of Tumor Biological Behaviors, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Fuling Zhou
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Rong Yin
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Siheng Zhang
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Lingyu Xing
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Weize Xu
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Xiaofeng Wu
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Bing Yang
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Ke Xiao
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Chengchao Wu
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Yingfeng Tao
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Xiaoqing Yang
- Hospital of Huazhong Agricultural University, Wuhan, China
| | - Jing Zhang
- Department of Medical Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Sheng Hu
- Department of Medical Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shuang Dong
- Department of Medical Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoyu Li
- Department of Medical Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shengwei Ye
- Department of Gastrointestinal Surgery, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhidan Hong
- Dapartment of Reproductive Medicine Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yihang Pan
- Precision Medicine Center, Scientific Research Center, School of Medicine, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
| | - Yuqin Yang
- Department of Laboratory Animal Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Haixiang Sun
- Reproductive Medical Center, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
| | - Gang Cao
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.
- College of Bio-Medicine and Health, Huazhong Agricultural University, Wuhan, China.
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
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12
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Li C, Chen L, Pan G, Zhang W, Li SC. Deciphering complex breakage-fusion-bridge genome rearrangements with Ambigram. Nat Commun 2023; 14:5528. [PMID: 37684230 PMCID: PMC10491683 DOI: 10.1038/s41467-023-41259-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: 10/13/2022] [Accepted: 08/28/2023] [Indexed: 09/10/2023] Open
Abstract
Breakage-fusion-bridge (BFB) is a complex rearrangement that leads to tumor malignancy. Existing models for detecting BFBs rely on the ideal BFB hypothesis, ruling out the possibility of BFBs entangled with other structural variations, that is, complex BFBs. We propose an algorithm Ambigram to identify complex BFB and reconstruct the rearranged structure of the local genome during the cancer subclone evolution process. Ambigram handles data from short, linked, long, and single-cell sequences, and optical mapping technologies. Ambigram successfully deciphers the gold- or silver-standard complex BFBs against the state-of-the-art in multiple cancers. Ambigram dissects the intratumor heterogeneity of complex BFB events with single-cell reads from melanoma and gastric cancer. Furthermore, applying Ambigram to liver and cervical cancer data suggests that the BFB mechanism may mediate oncovirus integrations. BFB also exists in noncancer genomics. Investigating the complete human genome reference with Ambigram suggests that the BFB mechanism may be involved in two genome reorganizations of Homo Sapiens during evolution. Moreover, Ambigram discovers the signals of recurrent foldback inversions and complex BFBs in whole genome data from the 1000 genome project, and congenital heart diseases, respectively.
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Affiliation(s)
- Chaohui Li
- Department of Computer Science, City University of Hong Kong, Hong Kong, China
| | - Lingxi Chen
- Department of Computer Science, City University of Hong Kong, Hong Kong, China
| | - Guangze Pan
- Department of Computer Science, City University of Hong Kong, Hong Kong, China
| | - Wenqian Zhang
- Department of Computer Science, City University of Hong Kong, Hong Kong, China
| | - Shuai Cheng Li
- Department of Computer Science, City University of Hong Kong, Hong Kong, China.
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13
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Zhang L, Chen L, Li SC, Wang M, Li C, Song T, Ni Y, Yang Y, Liu Z, Yao M, Shen B, Li W. Heterogeneity in lung cancers by single-cell DNA sequencing. Clin Transl Med 2023; 13:e1388. [PMID: 37649132 PMCID: PMC10468563 DOI: 10.1002/ctm2.1388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 08/11/2023] [Accepted: 08/17/2023] [Indexed: 09/01/2023] Open
Affiliation(s)
- Li Zhang
- Department of Pulmonary and Critical Care MedicineInstitute of Respiratory HealthState Key Laboratory of Respiratory Health and MultimorbidityFrontiers Science Center for Disease‐related Molecular NetworkPrecision Medicine Key Laboratory of Sichuan ProvinceWest China HospitalWest China School of MedicineSichuan UniversityChengduChina
| | - Lingxi Chen
- Department of Computer ScienceCity University of Hong KongKowloonChina
| | - Shuai Cheng Li
- Department of Computer ScienceCity University of Hong KongKowloonChina
| | - Mengyao Wang
- Department of Computer ScienceCity University of Hong KongKowloonChina
| | - Chaohui Li
- Department of Computer ScienceCity University of Hong KongKowloonChina
| | - Tingting Song
- Department of Pulmonary and Critical Care MedicineInstitute of Respiratory HealthState Key Laboratory of Respiratory Health and MultimorbidityFrontiers Science Center for Disease‐related Molecular NetworkPrecision Medicine Key Laboratory of Sichuan ProvinceWest China HospitalWest China School of MedicineSichuan UniversityChengduChina
| | - Yinyun Ni
- Department of Pulmonary and Critical Care MedicineInstitute of Respiratory HealthState Key Laboratory of Respiratory Health and MultimorbidityFrontiers Science Center for Disease‐related Molecular NetworkPrecision Medicine Key Laboratory of Sichuan ProvinceWest China HospitalWest China School of MedicineSichuan UniversityChengduChina
| | - Ying Yang
- Department of Pulmonary and Critical Care MedicineInstitute of Respiratory HealthState Key Laboratory of Respiratory Health and MultimorbidityFrontiers Science Center for Disease‐related Molecular NetworkPrecision Medicine Key Laboratory of Sichuan ProvinceWest China HospitalWest China School of MedicineSichuan UniversityChengduChina
| | - Zhiqiang Liu
- Department of Pulmonary and Critical Care MedicineInstitute of Respiratory HealthState Key Laboratory of Respiratory Health and MultimorbidityFrontiers Science Center for Disease‐related Molecular NetworkPrecision Medicine Key Laboratory of Sichuan ProvinceWest China HospitalWest China School of MedicineSichuan UniversityChengduChina
| | - Menglin Yao
- Department of Pulmonary and Critical Care MedicineInstitute of Respiratory HealthState Key Laboratory of Respiratory Health and MultimorbidityFrontiers Science Center for Disease‐related Molecular NetworkPrecision Medicine Key Laboratory of Sichuan ProvinceWest China HospitalWest China School of MedicineSichuan UniversityChengduChina
| | - Bairong Shen
- Institutes for Systems GeneticsFrontiers Science Center for Disease‐Related Molecular NetworkWest China HospitalSichuan UniversityChengduChina
| | - Weimin Li
- Department of Pulmonary and Critical Care MedicineInstitute of Respiratory HealthState Key Laboratory of Respiratory Health and MultimorbidityFrontiers Science Center for Disease‐related Molecular NetworkPrecision Medicine Key Laboratory of Sichuan ProvinceWest China HospitalWest China School of MedicineSichuan UniversityChengduChina
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14
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Rodriguez I, Rossi NM, Keskus A, Xie Y, Ahmad T, Bryant A, Lou H, Paredes JG, Milano R, Rao N, Tulsyan S, Boland JF, Luo W, Liu J, O’Hanlon T, Bess J, Mukhina V, Gaykalova D, Yuki Y, Malik L, Billingsley K, Blauwendraat C, Carrington M, Yeager M, Mirabello L, Kolmogorov M, Dean M. Insights into the Mechanisms and Structure of Breakage-Fusion-Bridge Cycles in Cervical Cancer using Long-Read Sequencing. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.08.21.23294276. [PMID: 37662332 PMCID: PMC10473792 DOI: 10.1101/2023.08.21.23294276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
Cervical cancer is caused by human papillomavirus (HPV) infection, has few approved targeted therapeutics, and is the most common cause of cancer death in low-resource countries. We characterized 19 cervical and four head and neck cell lines using long-read DNA and RNA sequencing and identified the HPV types, HPV integration sites, chromosomal alterations, and cancer driver mutations. Structural variation analysis revealed telomeric deletions associated with DNA inversions resulting from breakage-fusion-bridge (BFB) cycles. BFB is a common mechanism of chromosomal alterations in cancer, and this is one of the first analyses of these events using long-read sequencing. Analysis of the inversion sites revealed staggered ends consistent with exonuclease digestion of the DNA after breakage. Some BFB events are complex, involving inter- or intra-chromosomal insertions or rearrangements. None of the BFB breakpoints had telomere sequences added to resolve the dicentric chromosomes and only one BFB breakpoint showed chromothripsis. Five cell lines have a Chr11q BFB event, with YAP1/BIRC2/BIRC3 gene amplification. Indeed, YAP1 amplification is associated with a 10-year earlier age of diagnosis of cervical cancer and is three times more common in African American women. This suggests that cervical cancer patients with YAP1/BIRC2/BIRC3-amplification, especially those of African American ancestry, might benefit from targeted therapy. In summary, we uncovered new insights into the mechanisms and consequences of BFB cycles in cervical cancer using long-read sequencing.
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Affiliation(s)
- Isabel Rodriguez
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Nicole M. Rossi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Ayse Keskus
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Yi Xie
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Tanveer Ahmad
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Asher Bryant
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Hong Lou
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA and Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD
| | - Jesica Godinez Paredes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Rose Milano
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Nina Rao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
- Department of Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Sonam Tulsyan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Joseph F. Boland
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA and Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD
| | - Wen Luo
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA and Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD
| | - Jia Liu
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA and Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD
| | - Tim O’Hanlon
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA and Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD
| | - Jazmyn Bess
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Vera Mukhina
- Department of Otorhinolaryngology-Head and Neck Surgery, University of Maryland School of Medical Center, Baltimore, MD, USA
| | - Daria Gaykalova
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
- Marlene & Stewart Greenebaum Comprehensive Cancer Center, University of Maryland Medical System, Baltimore, MD, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, USA
| | - Yuko Yuki
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA and Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD
| | - Laksh Malik
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, Maryland, USA and Center for Alzheimer’s and Related Dementias, National Institute on Aging, Bethesda, Maryland, USA
| | - Kimberley Billingsley
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, Maryland, USA and Center for Alzheimer’s and Related Dementias, National Institute on Aging, Bethesda, Maryland, USA
| | - Cornelis Blauwendraat
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, Maryland, USA and Center for Alzheimer’s and Related Dementias, National Institute on Aging, Bethesda, Maryland, USA
| | - Mary Carrington
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA and Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts, USA
| | - Meredith Yeager
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA and Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD
| | - Lisa Mirabello
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Mikhail Kolmogorov
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Michael Dean
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
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15
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Dong Y, He Q, Chen X, Yang F, He L, Zheng Y. Extrachromosomal DNA (ecDNA) in cancer: mechanisms, functions, and clinical implications. Front Oncol 2023; 13:1194405. [PMID: 37448518 PMCID: PMC10338009 DOI: 10.3389/fonc.2023.1194405] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 06/05/2023] [Indexed: 07/15/2023] Open
Abstract
Extrachromosomal DNA (ecDNA) is circular DNA that plays an important role in the development and heterogeneity of cancer. The rapid evolution of methods to detect ecDNA, including microscopic and sequencing approaches, has greatly enhanced our knowledge of the role of ecDNA in cancer development and evolution. Here, we review the molecular characteristics, functions, mechanisms of formation, and detection methods of ecDNA, with a focus on the potential clinical implications of ecDNA in cancer. Specifically, we consider the role of ecDNA in acquired drug resistance, as a diagnostic and prognostic biomarker, and as a therapeutic target in the context of cancer. As the pathological and clinical significance of ecDNA continues to be explored, it is anticipated that ecDNA will have broad applications in the diagnosis, prognosis, and treatment of patients with cancer.
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Affiliation(s)
- Yucheng Dong
- Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Qi He
- Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Xinyu Chen
- Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Fan Yang
- Department of Liver Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Li He
- Department of Pathology, University of Oklahoma Health Sciences Center, Oklahoma, OK, United States
| | - Yongchang Zheng
- Department of Liver Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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16
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Arshadi A, Tolomeo D, Venuto S, Storlazzi CT. Advancements in Focal Amplification Detection in Tumor/Liquid Biopsies and Emerging Clinical Applications. Genes (Basel) 2023; 14:1304. [PMID: 37372484 PMCID: PMC10298061 DOI: 10.3390/genes14061304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 06/14/2023] [Accepted: 06/16/2023] [Indexed: 06/29/2023] Open
Abstract
Focal amplifications (FAs) are crucial in cancer research due to their significant diagnostic, prognostic, and therapeutic implications. FAs manifest in various forms, such as episomes, double minute chromosomes, and homogeneously staining regions, arising through different mechanisms and mainly contributing to cancer cell heterogeneity, the leading cause of drug resistance in therapy. Numerous wet-lab, mainly FISH, PCR-based assays, next-generation sequencing, and bioinformatics approaches have been set up to detect FAs, unravel the internal structure of amplicons, assess their chromatin compaction status, and investigate the transcriptional landscape associated with their occurrence in cancer cells. Most of them are tailored for tumor samples, even at the single-cell level. Conversely, very limited approaches have been set up to detect FAs in liquid biopsies. This evidence suggests the need to improve these non-invasive investigations for early tumor detection, monitoring disease progression, and evaluating treatment response. Despite the potential therapeutic implications of FAs, such as, for example, the use of HER2-specific compounds for patients with ERBB2 amplification, challenges remain, including developing selective and effective FA-targeting agents and understanding the molecular mechanisms underlying FA maintenance and replication. This review details a state-of-the-art of FA investigation, with a particular focus on liquid biopsies and single-cell approaches in tumor samples, emphasizing their potential to revolutionize the future diagnosis, prognosis, and treatment of cancer patients.
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Affiliation(s)
| | | | | | - Clelia Tiziana Storlazzi
- Department of Biosciences, Biotechnology and Environment, University of Bari Aldo Moro, 70125 Bari, Italy; (A.A.); (D.T.); (S.V.)
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17
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Jiang R, Yang M, Zhang S, Huang M. Advances in sequencing-based studies of microDNA and ecDNA: Databases, identification methods, and integration with single-cell analysis. Comput Struct Biotechnol J 2023; 21:3073-3080. [PMID: 37273851 PMCID: PMC10238454 DOI: 10.1016/j.csbj.2023.05.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 05/17/2023] [Accepted: 05/17/2023] [Indexed: 06/06/2023] Open
Abstract
Extrachromosomal circular DNA (eccDNA) is a class of circular DNA molecules that originate from genomic DNA but are separate from chromosomes. They are common in various organisms, with sizes ranging from a few hundred to millions of base pairs. A special type of large extrachromosomal DNA (ecDNA) is prevalent in cancer cells. Research on ecDNA has significantly contributed to our comprehension of cancer development, progression, evolution, and drug resistance. The use of next-generation (NGS) and third-generation sequencing (TGS) techniques to identify eccDNAs throughout the genome has become a trend in current research. Here, we briefly review current advances in the biological mechanisms and applications of two distinct types of eccDNAs: microDNA and ecDNA. In addition to presenting available identification tools based on sequencing data, we summarize the most recent efforts to integrate ecDNA with single-cell analysis and put forth suggestions to promote the process.
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18
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Chen Y, Qiu Q, She J, Yu J. Extrachromosomal circular DNA in colorectal cancer: biogenesis, function and potential as therapeutic target. Oncogene 2023; 42:941-951. [PMID: 36859558 PMCID: PMC10038807 DOI: 10.1038/s41388-023-02640-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 02/14/2023] [Accepted: 02/16/2023] [Indexed: 03/03/2023]
Abstract
Extrachromosomal circular DNA (ecDNA) has gained renewed interest since its discovery more than half a century ago, emerging as critical driver of tumor evolution. ecDNA is highly prevalent in many types of cancers, including colorectal cancer (CRC), which is one of the most deadly cancers worldwide. ecDNAs play an essential role in regulating oncogene expression, intratumor heterogeneity, and resistance to therapy independently of canonical chromosomal alterations in CRC. Furthermore, the existence of ecDNAs is attributed to the patient's prognosis, since ecDNA-based oncogene amplification adversely affects clinical outcomes. Recent understanding of ecDNA put an extra layer of complexity in the pathogenesis of CRC. In this review, we will discuss the current understanding on mechanisms of biogenesis, and distinctive features of ecDNA in CRC. In addition, we will examine how ecDNAs mediate oncogene overexpression, gene regulation, and topological interactions with active chromatin, which facilitates genetic heterogeneity, accelerates CRC malignancy, and enhances rapid adaptation to therapy resistance. Finally, we will discuss the potential diagnostic and therapeutic implications of ecDNAs in CRC.
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Affiliation(s)
- Yinnan Chen
- Center for Gut Microbiome Research, Med-X Institute, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
- Department of High Talent, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Quanpeng Qiu
- Center for Gut Microbiome Research, Med-X Institute, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
- Department of High Talent, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
- Department of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Junjun She
- Center for Gut Microbiome Research, Med-X Institute, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
- Department of High Talent, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
- Department of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
| | - Jun Yu
- Center for Gut Microbiome Research, Med-X Institute, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
- Department of High Talent, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
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19
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Yi E, Chamorro González R, Henssen AG, Verhaak RGW. Extrachromosomal DNA amplifications in cancer. Nat Rev Genet 2022; 23:760-771. [PMID: 35953594 PMCID: PMC9671848 DOI: 10.1038/s41576-022-00521-5] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/06/2022] [Indexed: 12/19/2022]
Abstract
Extrachromosomal DNA (ecDNA) amplification is an important driver alteration in cancer. It has been observed in most cancer types and is associated with worse patient outcome. The functional impact of ecDNA has been linked to its unique properties, such as its circular structure that is associated with altered chromatinization and epigenetic regulatory landscape, as well as its ability to randomly segregate during cell division, which fuels intercellular copy number heterogeneity. Recent investigations suggest that ecDNA is structurally more complex than previously anticipated and that it localizes to specialized nuclear bodies (hubs) and can act in trans as an enhancer for genes on other ecDNAs or chromosomes. In this Review, we synthesize what is currently known about how ecDNA is generated and how its genetic and epigenetic architecture affects proto-oncogene deregulation in cancer. We discuss how recently identified ecDNA functions may impact oncogenesis but also serve as new therapeutic vulnerabilities in cancer.
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Affiliation(s)
- Eunhee Yi
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Rocío Chamorro González
- Department of Paediatric Oncology/Hematology, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Experimental and Clinical Research Center (ECRC) of the MDC and Charité Berlin, Berlin, Germany
- Max-Delbrück-Centrum für Molekulare Medizin (BIMSB/BIH), Berlin, Germany
| | - Anton G Henssen
- Department of Paediatric Oncology/Hematology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
- Experimental and Clinical Research Center (ECRC) of the MDC and Charité Berlin, Berlin, Germany.
- Max-Delbrück-Centrum für Molekulare Medizin (BIMSB/BIH), Berlin, Germany.
- Berlin Institute of Health, Berlin, Germany.
- German Cancer Consortium (DKTK), partner site Berlin and German Cancer Research Center (DKFZ), Heidelberg, Germany.
| | - Roel G W Verhaak
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
- Department of Neurosurgery, Amsterdam UMC, Amsterdam, the Netherlands.
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20
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Hung KL, Luebeck J, Dehkordi SR, Colón CI, Li R, Wong ITL, Coruh C, Dharanipragada P, Lomeli SH, Weiser NE, Moriceau G, Zhang X, Bailey C, Houlahan KE, Yang W, González RC, Swanton C, Curtis C, Jamal-Hanjani M, Henssen AG, Law JA, Greenleaf WJ, Lo RS, Mischel PS, Bafna V, Chang HY. Targeted profiling of human extrachromosomal DNA by CRISPR-CATCH. Nat Genet 2022; 54:1746-1754. [PMID: 36253572 PMCID: PMC9649439 DOI: 10.1038/s41588-022-01190-0] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 08/22/2022] [Indexed: 12/15/2022]
Abstract
Extrachromosomal DNA (ecDNA) is a common mode of oncogene amplification but is challenging to analyze. Here, we adapt CRISPR-CATCH, in vitro CRISPR-Cas9 treatment and pulsed field gel electrophoresis of agarose-entrapped genomic DNA, previously developed for bacterial chromosome segments, to isolate megabase-sized human ecDNAs. We demonstrate strong enrichment of ecDNA molecules containing EGFR, FGFR2 and MYC from human cancer cells and NRAS ecDNA from human metastatic melanoma with acquired therapeutic resistance. Targeted enrichment of ecDNA versus chromosomal DNA enabled phasing of genetic variants, identified the presence of an EGFRvIII mutation exclusively on ecDNAs and supported an excision model of ecDNA genesis in a glioblastoma model. CRISPR-CATCH followed by nanopore sequencing enabled single-molecule ecDNA methylation profiling and revealed hypomethylation of the EGFR promoter on ecDNAs. We distinguished heterogeneous ecDNA species within the same sample by size and sequence with base-pair resolution and discovered functionally specialized ecDNAs that amplify select enhancers or oncogene-coding sequences.
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Affiliation(s)
- King L Hung
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - Jens Luebeck
- Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA, USA
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA
| | - Siavash R Dehkordi
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA
| | - Caterina I Colón
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Rui Li
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - Ivy Tsz-Lo Wong
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Ceyda Coruh
- Plant Molecular and Cellular Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Prashanthi Dharanipragada
- Division of Dermatology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Shirley H Lomeli
- Division of Dermatology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Natasha E Weiser
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Gatien Moriceau
- Division of Dermatology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Xiao Zhang
- Division of Dermatology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Chris Bailey
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Kathleen E Houlahan
- Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Wenting Yang
- Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Rocío Chamorro González
- Department of Pediatric Oncology/Hematology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Charles Swanton
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, University College London, London, UK
- University College London Hospitals NHS Trust, London, UK
| | - Christina Curtis
- Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Mariam Jamal-Hanjani
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, University College London, London, UK
- University College London Hospitals NHS Trust, London, UK
| | - Anton G Henssen
- Department of Pediatric Oncology/Hematology, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Experimental and Clinical Research Center (ECRC), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin, Berlin, Germany
- German Cancer Consortium (DKTK), partner site Berlin, and German Cancer Research Center DKFZ, Heidelberg, Germany
- Berlin Institute of Health, Berlin, Germany
| | - Julie A Law
- Plant Molecular and Cellular Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA
| | - William J Greenleaf
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Roger S Lo
- Division of Dermatology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA
- Jonsson Comprehensive Cancer Center, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA
| | - Paul S Mischel
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Vineet Bafna
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA
| | - Howard Y Chang
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA.
- Department of Genetics, Stanford University, Stanford, CA, USA.
- Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA, USA.
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21
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Noorani I, Mischel PS, Swanton C. Leveraging extrachromosomal DNA to fine-tune trials of targeted therapy for glioblastoma: opportunities and challenges. Nat Rev Clin Oncol 2022; 19:733-743. [PMID: 36131011 DOI: 10.1038/s41571-022-00679-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/10/2022] [Indexed: 11/09/2022]
Abstract
Glioblastoma evolution is facilitated by intratumour heterogeneity, which poses a major hurdle to effective treatment. Evidence indicates a key role for oncogene amplification on extrachromosomal DNA (ecDNA) in accelerating tumour evolution and thus resistance to treatment, particularly in glioblastomas. Oncogenes contained within ecDNA can reach high copy numbers and expression levels, and their unequal segregation can result in more rapid copy number changes in response to therapy than is possible through natural selection of intrachromosomal genomic loci. Notably, targeted therapies inhibiting oncogenic pathways have failed to improve glioblastoma outcomes. In this Perspective, we outline reasons for this disappointing lack of clinical translation and present the emerging evidence implicating ecDNA as an important driver of tumour evolution. Furthermore, we suggest that through detection of ecDNA, patient selection for clinical trials of novel agents can be optimized to include those most likely to benefit based on current understanding of resistance mechanisms. We discuss the challenges to successful translation of this approach, including accurate detection of ecDNA in tumour tissue with novel technologies, development of faithful preclinical models for predicting the efficacy of novel agents in the presence of ecDNA oncogenes, and understanding the mechanisms of ecDNA formation during cancer evolution and how they could be attenuated therapeutically. Finally, we evaluate the feasibility of routine ecDNA characterization in the clinic and how this process could be integrated with other methods of molecular stratification to maximize the potential for clinical translation of precision medicines.
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Affiliation(s)
- Imran Noorani
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK.
- Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK.
| | - Paul S Mischel
- Department of Pathology, Stanford University School of Medicine and Sarafan ChEM-H, Stanford University, Stanford, CA, USA.
| | - Charles Swanton
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK.
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22
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Zhao Y, Yu L, Zhang S, Su X, Zhou X. Extrachromosomal circular DNA: Current status and future prospects. eLife 2022; 11:81412. [PMID: 36256570 PMCID: PMC9578701 DOI: 10.7554/elife.81412] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 10/05/2022] [Indexed: 11/25/2022] Open
Abstract
Extrachromosomal circular DNA (eccDNA) is a double-stranded DNA molecule found in various organisms, including humans. In the past few decades, the research on eccDNA has mainly focused on cancers and their associated diseases. Advancements in modern omics technologies have reinvigorated research on eccDNA and shed light on the role of these molecules in a range of diseases and normal cell phenotypes. In this review, we first summarize the formation of eccDNA and its modes of action in eukaryotic cells. We then outline eccDNA as a disease biomarker and reveal its regulatory mechanism. We finally discuss the future prospects of eccDNA, including basic research and clinical application. Thus, with the deepening of understanding and exploration of eccDNAs, they hold great promise in future biomedical research and clinical translational application.
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Affiliation(s)
- Yiheng Zhao
- Department of Cardiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Linchan Yu
- Department of Cardiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Shuchen Zhang
- Department of Cardiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Xiangyu Su
- Department of Cardiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Xiang Zhou
- Department of Cardiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
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23
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Extrachromosomal circular DNA: biogenesis, structure, functions and diseases. Signal Transduct Target Ther 2022; 7:342. [PMID: 36184613 PMCID: PMC9527254 DOI: 10.1038/s41392-022-01176-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 08/14/2022] [Accepted: 09/01/2022] [Indexed: 11/08/2022] Open
Abstract
Extrachromosomal circular DNA (eccDNA), ranging in size from tens to millions of base pairs, is independent of conventional chromosomes. Recently, eccDNAs have been considered an unanticipated major source of somatic rearrangements, contributing to genomic remodeling through chimeric circularization and reintegration of circular DNA into the linear genome. In addition, the origin of eccDNA is considered to be associated with essential chromatin-related events, including the formation of super-enhancers and DNA repair machineries. Moreover, our understanding of the properties and functions of eccDNA has continuously and greatly expanded. Emerging investigations demonstrate that eccDNAs serve as multifunctional molecules in various organisms during diversified biological processes, such as epigenetic remodeling, telomere trimming, and the regulation of canonical signaling pathways. Importantly, its special distribution potentiates eccDNA as a measurable biomarker in many diseases, especially cancers. The loss of eccDNA homeostasis facilitates tumor initiation, malignant progression, and heterogeneous evolution in many cancers. An in-depth understanding of eccDNA provides novel insights for precision cancer treatment. In this review, we summarized the discovery history of eccDNA, discussed the biogenesis, characteristics, and functions of eccDNA. Moreover, we emphasized the role of eccDNA during tumor pathogenesis and malignant evolution. Therapeutically, we summarized potential clinical applications that target aberrant eccDNA in multiple diseases.
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24
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Typical Enhancers, Super-Enhancers, and Cancers. Cancers (Basel) 2022; 14:cancers14184375. [PMID: 36139535 PMCID: PMC9496678 DOI: 10.3390/cancers14184375] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 08/29/2022] [Accepted: 09/05/2022] [Indexed: 11/21/2022] Open
Abstract
Simple Summary The cancer genome has been exhaustively studied upon the advent of Next-Generation Sequencing technologies. Coding and non-coding sequences have been defined as hotspots of genomic variations that affect the naïve gene expression programs established in normal cells, thus working as endogenous drivers of carcinogenesis. In this review, we comprehensively summarize fundamental aspects of gene expression regulation, with emphasis on the impact of sequence and structural variations mapped across non-coding cis-acting elements of genes encoding for tumor-related transcription factors. Chromatin architecture, epigenome reprogramming, transcriptional enhancers and Super-enhancers, oncogene regulation, cutting-edge technologies, and pharmacological treatment are substantially highlighted. Abstract Non-coding segments of the human genome are enriched in cis-regulatory modules that constitute functional elements, such as transcriptional enhancers and Super-enhancers. A hallmark of cancer pathogenesis is the dramatic dysregulation of the “archetype” gene expression profiles of normal human cells. Genomic variations can promote such deficiencies when occurring across enhancers and Super-enhancers, since they affect their mechanistic principles, their functional capacity and specificity, and the epigenomic features of the chromatin microenvironment across which these regulatory elements reside. Here, we comprehensively describe: fundamental mechanisms of gene expression dysregulation in cancers that involve genomic abnormalities within enhancers’ and Super-enhancers’ (SEs) sequences, which alter the expression of oncogenic transcription factors (TFs); cutting-edge technologies applied for the analysis of variation-enriched hotspots of the cancer genome; and pharmacological approaches for the treatment of Super-enhancers’ aberrant function. Finally, we provide an intratumor meta-analysis, which highlights that genomic variations in transcription-factor-driven tumors are accompanied overexpression of genes, a portion of which encodes for additional cancer-related transcription factors.
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25
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Zhu Y, Gong L, Wei CL. Guilt by association: EcDNA as a mobile transactivator in cancer. Trends Cancer 2022; 8:747-758. [PMID: 35753910 PMCID: PMC9388558 DOI: 10.1016/j.trecan.2022.04.011] [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: 02/08/2022] [Revised: 04/10/2022] [Accepted: 04/28/2022] [Indexed: 10/17/2022]
Abstract
Extrachromosomal DNA (ecDNA), first described in the 1960s, is emerging as a prevalent but poorly characterized oncogenic alteration in cancer. ecDNA is a reservoir for oncogene amplification and is associated with an aggressive tumor phenotype and poor patient outcome. Despite the long-held knowledge of its existence, little is known about how ecDNA affects tumor cell behavior. Recent data reveal that ecDNA hubs are mobile transcriptional enhancers which can transactivate gene expression through chromatin interactions. Given its prevalence, structural complexity, and unequal segregation into daughter cells, ecDNA can offer selective growth advantages, contribute to intratumor heterogeneity (ITH), and accelerate tumor evolution. Future technology development is expected to transform the current paradigm for studying ecDNA and lead to therapeutic strategies targeting ecDNA vulnerabilities.
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Affiliation(s)
- Yanfen Zhu
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA; International Institutes of Medicine, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, Zhejiang 322000, China
| | - Liang Gong
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA; Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, Zhejiang 311121, China
| | - Chia-Lin Wei
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA.
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26
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Dubois F, Sidiropoulos N, Weischenfeldt J, Beroukhim R. Structural variations in cancer and the 3D genome. Nat Rev Cancer 2022; 22:533-546. [PMID: 35764888 PMCID: PMC10423586 DOI: 10.1038/s41568-022-00488-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/18/2022] [Indexed: 12/21/2022]
Abstract
Structural variations (SVs) affect more of the cancer genome than any other type of somatic genetic alteration but difficulties in detecting and interpreting them have limited our understanding. Clinical cancer sequencing also increasingly aims to detect SVs, leading to a widespread necessity to interpret their biological and clinical relevance. Recently, analyses of large whole-genome sequencing data sets revealed features that impact rates of SVs across the genome in different cancers. A striking feature has been the extent to which, in both their generation and their influence on the selective fitness of cancer cells, SVs are more specific to individual cancer types than other genetic alterations such as single-nucleotide variants. This Perspective discusses how the folding of the 3D genome, and differences in its folding across cell types, affect observed SV rates in different cancer types as well as how SVs can impact cancer cell fitness.
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Affiliation(s)
- Frank Dubois
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of and Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Nikos Sidiropoulos
- Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark
- The Finsen Laboratory, Rigshospitalet, Copenhagen, Denmark
| | - Joachim Weischenfeldt
- Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark.
- The Finsen Laboratory, Rigshospitalet, Copenhagen, Denmark.
- Department of Urology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
| | - Rameen Beroukhim
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Department of and Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
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27
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Abstract
In cancer, complex genome rearrangements and other structural alterations, including the amplification of oncogenes on circular extrachromosomal DNA (ecDNA) elements, drive the formation and progression of tumors. ecDNA is a particularly challenging structural alteration. By untethering oncogenes from chromosomal constraints, it elevates oncogene copy number, drives intratumoral genetic heterogeneity, promotes rapid tumor evolution, and results in treatment resistance. The profound changes in DNA shape and nuclear architecture generated by ecDNA alter the transcriptional landscape of tumors by catalyzing new types of regulatory interactions that do not occur on chromosomes. The current suite of tools for interrogating cancer genomes is well suited for deciphering sequence but has limited ability to resolve the complex changes in DNA structure and dynamics that ecDNA generates. Here, we review the challenges of resolving ecDNA form and function and discuss the emerging tool kit for deciphering ecDNA architecture and spatial organization, including what has been learned to date about how this dramatic change in shape alters tumor development, progression, and drug resistance.
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Affiliation(s)
- Vineet Bafna
- Department of Computer Science and Engineering and Halıcıoğlu Data Science Institute, University of California, San Diego, La Jolla, California, USA;
| | - Paul S Mischel
- Department of Pathology and ChEM-H, Stanford University School of Medicine, Stanford, California, USA;
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28
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Hung KL, Mischel PS, Chang HY. Gene regulation on extrachromosomal DNA. Nat Struct Mol Biol 2022; 29:736-744. [PMID: 35948767 PMCID: PMC10246724 DOI: 10.1038/s41594-022-00806-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 06/22/2022] [Indexed: 11/09/2022]
Abstract
Oncogene amplification on extrachromosomal DNA (ecDNA) is prevalent in human cancer and is associated with poor outcomes. Clonal, megabase-sized circular ecDNAs in cancer are distinct from nonclonal, small sub-kilobase-sized DNAs that may arise during normal tissue homeostasis. ecDNAs enable profound changes in gene regulation beyond copy-number gains. An emerging principle of ecDNA regulation is the formation of ecDNA hubs: micrometer-sized nuclear structures of numerous copies of ecDNAs tethered by proteins in spatial proximity. ecDNA hubs enable cooperative and intermolecular sharing of DNA regulatory elements for potent and combinatorial gene activation. The 3D context of ecDNA shapes its gene expression potential, selection for clonal heterogeneity among ecDNAs, distribution through cell division, and reintegration into chromosomes. Technologies for studying gene regulation and structure of ecDNA are starting to answer long-held questions on the distinct rules that govern cancer genes beyond chromosomes.
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Affiliation(s)
- King L Hung
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - Paul S Mischel
- Department of Pathology, Stanford University School of Medicine and ChEM-H, Stanford University, Stanford, CA, USA
| | - Howard Y Chang
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA.
- Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA, USA.
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29
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Karami Fath M, Karimfar N, Fazlollahpour Naghibi A, Shafa S, Ghasemi Shiran M, Ataei M, Dehghanzadeh H, Nabi Afjadi M, Ghadiri T, Payandeh Z, Tarhriz V. Revisiting characteristics of oncogenic extrachromosomal DNA as mobile enhancers on neuroblastoma and glioma cancers. Cancer Cell Int 2022; 22:200. [PMID: 35614494 PMCID: PMC9131661 DOI: 10.1186/s12935-022-02617-8] [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: 02/22/2022] [Accepted: 05/18/2022] [Indexed: 12/21/2022] Open
Abstract
Cancer can be induced by a variety of possible causes, including tumor suppressor gene failure and proto-oncogene hyperactivation. Tumor-associated extrachromosomal circular DNA has been proposed to endanger human health and speed up the progression of cancer. The amplification of ecDNA has raised the oncogene copy number in numerous malignancies according to whole-genome sequencing on distinct cancer types. The unusual structure and function of ecDNA, and its potential role in understanding current cancer genome maps, make it a hotspot to study tumor pathogenesis and evolution. The discovery of the basic mechanisms of ecDNA in the emergence and growth of malignancies could lead researchers to develop new cancer therapies. Despite recent progress, different aspects of ecDNA require more investigation. We focused on the features, and analyzed the bio-genesis, and origin of ecDNA in this review, as well as its functions in neuroblastoma and glioma cancers.
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Affiliation(s)
- Mohsen Karami Fath
- Department of Cellular and Molecular Biology, Faculty of Biological Sciences, Kharazmi University, Tehran, Iran
| | - Nastaran Karimfar
- Faculty of Veterinary Medicine, Islamic Azad University, Tabriz Branch, Tabriz, Iran
| | | | - Shahriyar Shafa
- School of Medicine, Kerman University of Medical Sciences, Kerman, Iran
| | - Melika Ghasemi Shiran
- Department of Biology, Faculty of Sciences, Central Tehran Branch, Islamic Azad University, Tehran, Iran
| | - Mehran Ataei
- Department of Biology, Faculty of Sciences, Shahid Chamran University, Ahvaz, Iran
| | | | - Mohsen Nabi Afjadi
- Department of Biochemistry, Faculty of Biological Science, Tarbiat Modares University, Tehran, Iran.
| | - Tahereh Ghadiri
- Department of Neuroscience and Cognition, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran. .,Shefa Neuroscience Research Center, Khatam Alanbia Hospital, Tehran, Iran. .,Neurosiences Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
| | - Zahra Payandeh
- Department Medical Biochemistry and Biophysics, Division Medical Inflammation Research, Karolinska Institute, Stockholm, Sweden.
| | - Vahideh Tarhriz
- Molecular Medicine Research Center, Biomedicine Institute, Tabriz University of Medical Sciences, Tabriz, Iran.
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30
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Ilić M, Zaalberg IC, Raaijmakers JA, Medema RH. Life of double minutes: generation, maintenance, and elimination. Chromosoma 2022; 131:107-125. [PMID: 35487993 PMCID: PMC9470669 DOI: 10.1007/s00412-022-00773-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 03/17/2022] [Accepted: 03/24/2022] [Indexed: 12/20/2022]
Abstract
Advances in genome sequencing have revealed a type of extrachromosomal DNA, historically named double minutes (also referred to as ecDNA), to be common in a wide range of cancer types, but not in healthy tissues. These cancer-associated circular DNA molecules contain one or a few genes that are amplified when double minutes accumulate. Double minutes harbor oncogenes or drug resistance genes that contribute to tumor aggressiveness through copy number amplification in combination with favorable epigenetic properties. Unequal distribution of double minutes over daughter cells contributes to intratumoral heterogeneity, thereby increasing tumor adaptability. In this review, we discuss various models delineating the mechanism of generation of double minutes. Furthermore, we highlight how double minutes are maintained, how they evolve, and discuss possible mechanisms driving their elimination.
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Affiliation(s)
- Mila Ilić
- Division of Cell Biology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
| | - Irene C Zaalberg
- Division of Cell Biology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.,Center for Molecular Medicine, University Medical Center Utrecht, Utrecht University, Universiteitsweg, 100, 3584, CG Utrecht, The Netherlands
| | - Jonne A Raaijmakers
- Division of Cell Biology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
| | - René H Medema
- Division of Cell Biology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.
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31
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Song K, Minami JK, Huang A, Dehkordi SR, Lomeli SH, Luebeck J, Goodman MH, Moriceau G, Krijgsman O, Dharanipragada P, Ridgley T, Crosson WP, Salazar J, Pazol E, Karin G, Jayaraman R, Balanis NG, Alhani S, Sheu K, Hoeve JT, Palermo A, Motika SE, Senaratne TN, Paraiso KH, Hergenrother PJ, Rao PN, Multani AS, Peeper DS, Bafna V, Lo RS, Graeber TG. Plasticity of Extrachromosomal and Intrachromosomal BRAF Amplifications in Overcoming Targeted Therapy Dosage Challenges. Cancer Discov 2022; 12:1046-1069. [PMID: 34930786 PMCID: PMC9192483 DOI: 10.1158/2159-8290.cd-20-0936] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2020] [Revised: 11/06/2021] [Accepted: 12/15/2021] [Indexed: 11/16/2022]
Abstract
Focal amplifications (FA) can mediate targeted therapy resistance in cancer. Understanding the structure and dynamics of FAs is critical for designing treatments that overcome plasticity-mediated resistance. We developed a melanoma model of dual MAPK inhibitor (MAPKi) resistance that bears BRAFV600 amplifications through either extrachromosomal DNA (ecDNA)/double minutes (DM) or intrachromosomal homogenously staining regions (HSR). Cells harboring BRAFV600E FAs displayed mode switching between DMs and HSRs, from both de novo genetic changes and selection of preexisting subpopulations. Plasticity is not exclusive to ecDNAs, as cells harboring HSRs exhibit drug addiction-driven structural loss of BRAF amplicons upon dose reduction. FA mechanisms can couple with kinase domain duplications and alternative splicing to enhance resistance. Drug-responsive amplicon plasticity is observed in the clinic and can involve other MAPK pathway genes, such as RAF1 and NRAS. BRAF FA-mediated dual MAPKi-resistant cells are more sensitive to proferroptotic drugs, extending the spectrum of ferroptosis sensitivity in MAPKi resistance beyond cases of dedifferentiation. SIGNIFICANCE Understanding the structure and dynamics of oncogene amplifications is critical for overcoming tumor relapse. BRAF amplifications are highly plastic under MAPKi dosage challenges in melanoma, through involvement of de novo genomic alterations, even in the HSR mode. Moreover, BRAF FA-driven, dual MAPKi-resistant cells extend the spectrum of resistance-linked ferroptosis sensitivity. This article is highlighted in the In This Issue feature, p. 873.
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Affiliation(s)
- Kai Song
- Department of Bioengineering, UCLA, Los Angeles, CA 90095, USA
| | - Jenna K. Minami
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
- Department of Integrative Biology and Physiology, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
| | - Arthur Huang
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
| | - Siavash R. Dehkordi
- Department of Computer Science and Engineering, University of California at San Diego, La Jolla, CA 92093, USA
| | - Shirley H. Lomeli
- Division of Dermatology, Department of Medicine, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
| | - Jens Luebeck
- Department of Computer Science and Engineering, University of California at San Diego, La Jolla, CA 92093, USA
| | - Mark H. Goodman
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
| | - Gatien Moriceau
- Division of Dermatology, Department of Medicine, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
| | - Oscar Krijgsman
- Division of Molecular Oncology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Prashanthi Dharanipragada
- Division of Dermatology, Department of Medicine, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
| | - Trevor Ridgley
- Bioinformatics Interdepartmental Program, UCLA, Los Angeles, CA, 90095, USA
| | - William P. Crosson
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
| | - Jesus Salazar
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
| | - Eli Pazol
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
| | - Gabriel Karin
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
| | - Rachana Jayaraman
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
| | - Nikolas G. Balanis
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
| | - Salwan Alhani
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
| | - Kyle Sheu
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
| | - Johanna ten Hoeve
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
- UCLA Metabolomics Center, Los Angeles, CA, 90095, USA
| | - Amelia Palermo
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
- UCLA Metabolomics Center, Los Angeles, CA, 90095, USA
| | - Stephen E. Motika
- Department of Chemistry, Institute for Genomic Biology, Cancer Center at Illinois, University of Illinois, Urbana-Champaign, USA
| | - T. Niroshi Senaratne
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
| | - Kim H. Paraiso
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
| | - Paul J. Hergenrother
- Department of Chemistry, Institute for Genomic Biology, Cancer Center at Illinois, University of Illinois, Urbana-Champaign, USA
| | - P. Nagesh Rao
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
| | - Asha S. Multani
- Department of Genetics, The University of Texas M. D. Anderson Cancer Center, Houston, TX 77030
| | - Daniel S. Peeper
- Division of Molecular Oncology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Vineet Bafna
- Department of Computer Science and Engineering, University of California at San Diego, La Jolla, CA 92093, USA
| | - Roger S. Lo
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
- Division of Dermatology, Department of Medicine, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
- Jonsson Comprehensive Cancer Center, UCLA, Los Angeles, CA 90095, USA
| | - Thomas G. Graeber
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
- Jonsson Comprehensive Cancer Center, UCLA, Los Angeles, CA 90095, USA
- Crump Institute for Molecular Imaging, UCLA, Los Angeles, CA 90095, USA
- California NanoSystems Institute, UCLA, Los Angeles, CA 90095, USA
- Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, UCLA, Los Angeles, CA 90095, USA
- UCLA Metabolomics Center, Los Angeles, CA, 90095, USA
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32
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Hamdan A, Ewing A. Unravelling the tumour genome: the evolutionary and clinical impacts of structural variants in tumourigenesis. J Pathol 2022; 257:479-493. [PMID: 35355264 PMCID: PMC9321913 DOI: 10.1002/path.5901] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 03/16/2022] [Accepted: 03/28/2022] [Indexed: 11/15/2022]
Abstract
Structural variants (SVs) represent a major source of aberration in tumour genomes. Given the diversity in the size and type of SVs present in tumours, the accurate detection and interpretation of SVs in tumours is challenging. New classes of complex structural events in tumours are discovered frequently, and the definitions of the genomic consequences of complex events are constantly being refined. Detailed analyses of short‐read whole‐genome sequencing (WGS) data from large tumour cohorts facilitate the interrogation of SVs at orders of magnitude greater scale and depth. However, the inherent technical limitations of short‐read WGS prevent us from accurately detecting and investigating the impact of all the SVs present in tumours. The expanded use of long‐read WGS will be critical for improving the accuracy of SV detection, and in fully resolving complex SV events, both of which are crucial for determining the impact of SVs on tumour progression and clinical outcome. Despite the present limitations, we demonstrate that SVs play an important role in tumourigenesis. In particular, SVs contribute significantly to late‐stage tumour development and to intratumoural heterogeneity. The evolutionary trajectories of SVs represent a window into the clonal dynamics in tumours, a comprehensive understanding of which will be vital for influencing patient outcomes in the future. Recent findings have highlighted many clinical applications of SVs in cancer, from early detection to biomarkers for treatment response and prognosis. As the methods to detect and interpret SVs improve, elucidating the full breadth of the complex SV landscape and determining how these events modulate tumour evolution will improve our understanding of cancer biology and our ability to capitalise on the utility of SVs in the clinical management of cancer patients. © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- Alhafidz Hamdan
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.,Cancer Research UK Edinburgh Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Ailith Ewing
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.,Cancer Research UK Edinburgh Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
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33
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Wu S, Bafna V, Chang HY, Mischel PS. Extrachromosomal DNA: An Emerging Hallmark in Human Cancer. ANNUAL REVIEW OF PATHOLOGY 2022; 17:367-386. [PMID: 34752712 PMCID: PMC9125980 DOI: 10.1146/annurev-pathmechdis-051821-114223] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Human genes are arranged on 23 pairs of chromosomes, but in cancer, tumor-promoting genes and regulatory elements can free themselves from chromosomes and relocate to circular, extrachromosomal pieces of DNA (ecDNA). ecDNA, because of its nonchromosomal inheritance, drives high-copy-number oncogene amplification and enables tumors to evolve their genomes rapidly. Furthermore, the circular ecDNA architecture fundamentally alters gene regulation and transcription, and the higher-order organization of ecDNA contributes to tumor pathogenesis. Consequently, patients whose cancers harbor ecDNA have significantly shorter survival. Although ecDNA was first observed more than 50 years ago, its critical importance has only recently come to light. In this review, we discuss the current state of understanding of how ecDNAs form and function as well as how they contribute to drug resistance and accelerated cancer evolution.
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Affiliation(s)
- Sihan Wu
- Children's Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, Texas, USA;
| | - Vineet Bafna
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, California, USA
| | - Howard Y Chang
- Center for Personal Dynamic Regulomes and Howard Hughes Medical Institute, Stanford University, Stanford, California, USA
| | - Paul S Mischel
- Department of Pathology, Stanford University School of Medicine, Stanford, California, USA;
- Chemistry, Engineering, and Medicine for Human Health (ChEM-H), Stanford University, Stanford, California, USA
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34
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Hung KL, Yost KE, Xie L, Shi Q, Helmsauer K, Luebeck J, Schöpflin R, Lange JT, Chamorro González R, Weiser NE, Chen C, Valieva ME, Wong ITL, Wu S, Dehkordi SR, Duffy CV, Kraft K, Tang J, Belk JA, Rose JC, Corces MR, Granja JM, Li R, Rajkumar U, Friedlein J, Bagchi A, Satpathy AT, Tjian R, Mundlos S, Bafna V, Henssen AG, Mischel PS, Liu Z, Chang HY. ecDNA hubs drive cooperative intermolecular oncogene expression. Nature 2021; 600:731-736. [PMID: 34819668 PMCID: PMC9126690 DOI: 10.1038/s41586-021-04116-8] [Citation(s) in RCA: 116] [Impact Index Per Article: 38.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 10/08/2021] [Indexed: 02/07/2023]
Abstract
Extrachromosomal DNA (ecDNA) is prevalent in human cancers and mediates high expression of oncogenes through gene amplification and altered gene regulation1. Gene induction typically involves cis-regulatory elements that contact and activate genes on the same chromosome2,3. Here we show that ecDNA hubs-clusters of around 10-100 ecDNAs within the nucleus-enable intermolecular enhancer-gene interactions to promote oncogene overexpression. ecDNAs that encode multiple distinct oncogenes form hubs in diverse cancer cell types and primary tumours. Each ecDNA is more likely to transcribe the oncogene when spatially clustered with additional ecDNAs. ecDNA hubs are tethered by the bromodomain and extraterminal domain (BET) protein BRD4 in a MYC-amplified colorectal cancer cell line. The BET inhibitor JQ1 disperses ecDNA hubs and preferentially inhibits ecDNA-derived-oncogene transcription. The BRD4-bound PVT1 promoter is ectopically fused to MYC and duplicated in ecDNA, receiving promiscuous enhancer input to drive potent expression of MYC. Furthermore, the PVT1 promoter on an exogenous episome suffices to mediate gene activation in trans by ecDNA hubs in a JQ1-sensitive manner. Systematic silencing of ecDNA enhancers by CRISPR interference reveals intermolecular enhancer-gene activation among multiple oncogene loci that are amplified on distinct ecDNAs. Thus, protein-tethered ecDNA hubs enable intermolecular transcriptional regulation and may serve as units of oncogene function and cooperative evolution and as potential targets for cancer therapy.
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Affiliation(s)
- King L Hung
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA
| | - Kathryn E Yost
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA
| | - Liangqi Xie
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
- Department of Molecular and Cell Biology, Li Ka Shing Center for Biomedical and Health Sciences, CIRM Center of Excellence, University of California, Berkeley, Berkeley, CA, USA
- Howard Hughes Medical Institute, Berkeley, CA, USA
| | - Quanming Shi
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA
| | - Konstantin Helmsauer
- Department of Pediatric Oncology and Hematology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Jens Luebeck
- Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA, USA
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA
| | - Robert Schöpflin
- Development and Disease Research Group, Max Planck Institute for Molecular Genetics, Berlin, Germany
- Institute for Medical and Human Genetics, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Joshua T Lange
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA
- ChEM-H, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Rocío Chamorro González
- Department of Pediatric Oncology and Hematology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Natasha E Weiser
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Celine Chen
- Department of Pediatric Oncology and Hematology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Maria E Valieva
- Development and Disease Research Group, Max Planck Institute for Molecular Genetics, Berlin, Germany
- Institute for Medical and Human Genetics, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Ivy Tsz-Lo Wong
- ChEM-H, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Sihan Wu
- Children's Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Siavash R Dehkordi
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA
| | - Connor V Duffy
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA
| | - Katerina Kraft
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA
| | - Jun Tang
- ChEM-H, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Julia A Belk
- Department of Pathology, Stanford University, Stanford, CA, USA
- Department of Computer Science, Stanford University, Stanford, CA, USA
| | - John C Rose
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA
| | - M Ryan Corces
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA
| | - Jeffrey M Granja
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA
| | - Rui Li
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA
| | - Utkrisht Rajkumar
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA
| | - Jordan Friedlein
- Tumor Initiation and Maintenance Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Anindya Bagchi
- Tumor Initiation and Maintenance Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | | | - Robert Tjian
- Department of Molecular and Cell Biology, Li Ka Shing Center for Biomedical and Health Sciences, CIRM Center of Excellence, University of California, Berkeley, Berkeley, CA, USA
- Howard Hughes Medical Institute, Berkeley, CA, USA
| | - Stefan Mundlos
- Development and Disease Research Group, Max Planck Institute for Molecular Genetics, Berlin, Germany
- Institute for Medical and Human Genetics, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Berlin-Brandenburg Center for Regenerative Therapies (BCRT), Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Vineet Bafna
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA
| | - Anton G Henssen
- Department of Pediatric Oncology and Hematology, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Experimental and Clinical Research Center (ECRC), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin, Berlin, Germany
- German Cancer Consortium (DKTK), partner site Berlin, and German Cancer Research Center DKFZ, Heidelberg, Germany
- Berlin Institute of Health, Berlin, Germany
| | - Paul S Mischel
- ChEM-H, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Zhe Liu
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Howard Y Chang
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA.
- Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA, USA.
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35
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Robert M, Crasta K. Breaking the vicious circle: Extrachromosomal circular DNA as an emerging player in tumour evolution. Semin Cell Dev Biol 2021; 123:140-150. [PMID: 34857471 DOI: 10.1016/j.semcdb.2021.11.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 11/14/2021] [Indexed: 12/16/2022]
Abstract
Extrachromosomal circular DNA (ecDNA) or double minutes have gained renewed interest since its discovery more than five decades ago, emerging as potent drivers of tumour evolution. This has largely been motivated by recent discovery that the tumour-exclusive ecDNA are highly prevalent in almost all cancers unlike previously thought. EcDNAs contribute to elevated oncogene expression, intratumoural heterogeneity, tumour adaptation and therapy resistance independently of canonical chromosomal alterations. Importantly, ecDNAs play a critical role in patient survival as ecDNA-based oncogene amplification adversely affects clinical outcome to a significantly greater extent than intrachromosomal amplification. Chromothripsis, a major driver of ecDNA biogenesis and gene amplification, is a mutational process characterised by chromosomal shattering and localised complex genome rearrangement. Chemotherapeutic drugs can lead to chromothriptic rearrangements and therapy resistance. In this review, we examine how ecDNAs mediate oncogene overexpression, facilitate accelerated tumour malignancy and enhance rapid adaptation independently of linear chromosomes. We delve into discoveries pertaining to mechanisms of biogenesis, distinctive features of ecDNA, gene regulation and topological interactions with active chromatin. We also discuss the critical role of chromothripsis in engendering ecDNA amplification and evolution. One envisions that insights into ecDNA biology not only hold importance for the cancer genome and tumour evolutionary dynamics, but could also inform prognostication and clinical intervention, particularly for cancers characterised by high oncogene amplification.
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Affiliation(s)
- Matius Robert
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Healthy Longevity Translational Research Program, National University of Singapore, Singapore
| | - Karen Crasta
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Healthy Longevity Translational Research Program, National University of Singapore, Singapore; NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Agency for Science, Technology & Research (A⁎STAR), Institute of Molecular and Cell Biology, Singapore.
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36
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Zhao XK, Xing P, Song X, Zhao M, Zhao L, Dang Y, Lei LL, Xu RH, Han WL, Wang PP, Yang MM, Hu JF, Zhong K, Zhou FY, Han XN, Meng CL, Ji JJ, Chen X, Wang LD. Focal amplifications are associated with chromothripsis events and diverse prognoses in gastric cardia adenocarcinoma. Nat Commun 2021; 12:6489. [PMID: 34764264 PMCID: PMC8586158 DOI: 10.1038/s41467-021-26745-3] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 10/21/2021] [Indexed: 01/24/2023] Open
Abstract
The role of focal amplifications and extrachromosomal DNA (ecDNA) is unknown in gastric cardia adenocarcinoma (GCA). Here, we identify frequent focal amplifications and ecDNAs in Chinese GCA patient samples, and find focal amplifications in the GCA cohort are associated with the chromothripsis process and may be induced by accumulated DNA damage due to local dietary habits. We observe diverse correlations between the presence of oncogene focal amplifications and prognosis, where ERBB2 focal amplifications positively correlate with prognosis and EGFR focal amplifications negatively correlate with prognosis. Large-scale ERBB2 immunohistochemistry results from 1668 GCA patients show survival probability of ERBB2 positive patients is lower than that of ERBB2 negative patients when their surviving time is under 2 years, however, the tendency is opposite when their surviving time is longer than 2 years. Our observations indicate that the ERBB2 focal amplifications may represent a good prognostic marker in GCA patients.
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Affiliation(s)
- Xue-Ke Zhao
- State Key Laboratory of Esophageal Cancer Prevention & Treatment and Henan Key, Laboratory for Esophageal Cancer Research of The First Affiliated Hospital, Zhengzhou University, 450052, Zhengzhou, Henan, PR China
| | - Pengwei Xing
- Department of Immunology, Genetics and Pathology, Uppsala University, 75108, Uppsala, Sweden
| | - Xin Song
- State Key Laboratory of Esophageal Cancer Prevention & Treatment and Henan Key, Laboratory for Esophageal Cancer Research of The First Affiliated Hospital, Zhengzhou University, 450052, Zhengzhou, Henan, PR China
| | - Miao Zhao
- Department of Immunology, Genetics and Pathology, Uppsala University, 75108, Uppsala, Sweden
| | - Linxuan Zhao
- Department of Immunology, Genetics and Pathology, Uppsala University, 75108, Uppsala, Sweden
| | - Yonglong Dang
- Department of Immunology, Genetics and Pathology, Uppsala University, 75108, Uppsala, Sweden
| | - Ling-Ling Lei
- State Key Laboratory of Esophageal Cancer Prevention & Treatment and Henan Key, Laboratory for Esophageal Cancer Research of The First Affiliated Hospital, Zhengzhou University, 450052, Zhengzhou, Henan, PR China
| | - Rui-Hua Xu
- State Key Laboratory of Esophageal Cancer Prevention & Treatment and Henan Key, Laboratory for Esophageal Cancer Research of The First Affiliated Hospital, Zhengzhou University, 450052, Zhengzhou, Henan, PR China
| | - Wen-Li Han
- State Key Laboratory of Esophageal Cancer Prevention & Treatment and Henan Key, Laboratory for Esophageal Cancer Research of The First Affiliated Hospital, Zhengzhou University, 450052, Zhengzhou, Henan, PR China
| | - Pan-Pan Wang
- State Key Laboratory of Esophageal Cancer Prevention & Treatment and Henan Key, Laboratory for Esophageal Cancer Research of The First Affiliated Hospital, Zhengzhou University, 450052, Zhengzhou, Henan, PR China
| | - Miao-Miao Yang
- State Key Laboratory of Esophageal Cancer Prevention & Treatment and Henan Key, Laboratory for Esophageal Cancer Research of The First Affiliated Hospital, Zhengzhou University, 450052, Zhengzhou, Henan, PR China
| | - Jing-Feng Hu
- State Key Laboratory of Esophageal Cancer Prevention & Treatment and Henan Key, Laboratory for Esophageal Cancer Research of The First Affiliated Hospital, Zhengzhou University, 450052, Zhengzhou, Henan, PR China
| | - Kan Zhong
- State Key Laboratory of Esophageal Cancer Prevention & Treatment and Henan Key, Laboratory for Esophageal Cancer Research of The First Affiliated Hospital, Zhengzhou University, 450052, Zhengzhou, Henan, PR China
| | - Fu-You Zhou
- State Key Laboratory of Esophageal Cancer Prevention & Treatment and Henan Key, Laboratory for Esophageal Cancer Research of The First Affiliated Hospital, Zhengzhou University, 450052, Zhengzhou, Henan, PR China
| | - Xue-Na Han
- State Key Laboratory of Esophageal Cancer Prevention & Treatment and Henan Key, Laboratory for Esophageal Cancer Research of The First Affiliated Hospital, Zhengzhou University, 450052, Zhengzhou, Henan, PR China
| | - Chao-Long Meng
- State Key Laboratory of Esophageal Cancer Prevention & Treatment and Henan Key, Laboratory for Esophageal Cancer Research of The First Affiliated Hospital, Zhengzhou University, 450052, Zhengzhou, Henan, PR China
| | - Jia-Jia Ji
- State Key Laboratory of Esophageal Cancer Prevention & Treatment and Henan Key, Laboratory for Esophageal Cancer Research of The First Affiliated Hospital, Zhengzhou University, 450052, Zhengzhou, Henan, PR China
| | - Xingqi Chen
- Department of Immunology, Genetics and Pathology, Uppsala University, 75108, Uppsala, Sweden.
| | - Li-Dong Wang
- State Key Laboratory of Esophageal Cancer Prevention & Treatment and Henan Key, Laboratory for Esophageal Cancer Research of The First Affiliated Hospital, Zhengzhou University, 450052, Zhengzhou, Henan, PR China.
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37
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Cao X, Wang S, Ge L, Zhang W, Huang J, Sun W. Extrachromosomal Circular DNA: Category, Biogenesis, Recognition, and Functions. Front Vet Sci 2021; 8:693641. [PMID: 34568472 PMCID: PMC8458813 DOI: 10.3389/fvets.2021.693641] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Accepted: 07/30/2021] [Indexed: 12/17/2022] Open
Abstract
Extrachromosomal circular DNA (eccDNA), existing as double-stranded circular DNA, is derived and free from chromosomes. It is common in eukaryotes but has a strong heterogeneity in count, length, and origin. It has been demonstrated that eccDNA could function in telomere and rDNA maintenance, aging, drug resistance, tumorigenesis, and phenotypic variations of plants and animals. Here we review the current knowledge about eccDNA in category, biogenesis, recognition, and functions. We also provide perspectives on the potential implications of eccDNA in life science.
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Affiliation(s)
- Xiukai Cao
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou, China
| | - Shan Wang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Ling Ge
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Weibo Zhang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Jinlin Huang
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, China
| | - Wei Sun
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou, China.,College of Animal Science and Technology, Yangzhou University, Yangzhou, China
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38
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Neveling K, Mantere T, Vermeulen S, Oorsprong M, van Beek R, Kater-Baats E, Pauper M, van der Zande G, Smeets D, Weghuis DO, Stevens-Kroef MJPL, Hoischen A. Next-generation cytogenetics: Comprehensive assessment of 52 hematological malignancy genomes by optical genome mapping. Am J Hum Genet 2021; 108:1423-1435. [PMID: 34237281 DOI: 10.1016/j.ajhg.2021.06.001] [Citation(s) in RCA: 67] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 06/01/2021] [Indexed: 02/06/2023] Open
Abstract
Somatic structural variants (SVs) are important drivers of cancer development and progression. In a diagnostic set-up, especially for hematological malignancies, the comprehensive analysis of all SVs in a given sample still requires a combination of cytogenetic techniques, including karyotyping, FISH, and CNV microarrays. We hypothesize that the combination of these classical approaches could be replaced by optical genome mapping (OGM). Samples from 52 individuals with a clinical diagnosis of a hematological malignancy, divided into simple (<5 aberrations, n = 36) and complex (≥5 aberrations, n = 16) cases, were processed for OGM, reaching on average: 283-fold genome coverage. OGM called a total of 918 high-confidence SVs per sample, of which, on average, 13 were rare and >100 kb. In addition, on average, 73 CNVs were called per sample, of which six were >5 Mb. For the 36 simple cases, all clinically reported aberrations were detected, including deletions, insertions, inversions, aneuploidies, and translocations. For the 16 complex cases, results were largely concordant between standard-of-care and OGM, but OGM often revealed higher complexity than previously recognized. Detailed technical comparison with standard-of-care tests showed high analytical validity of OGM, resulting in a sensitivity of 100% and a positive predictive value of >80%. Importantly, OGM resulted in a more complete assessment than any previous single test and most likely reported the most accurate underlying genomic architecture (e.g., for complex translocations, chromoanagenesis, and marker chromosomes). In conclusion, the excellent concordance of OGM with diagnostic standard assays demonstrates its potential to replace classical cytogenetic tests as well as to rapidly map novel leukemia drivers.
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Affiliation(s)
- Kornelia Neveling
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6500 HB, the Netherlands; Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Tuomo Mantere
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6500 HB, the Netherlands; Radboud Institute of Medical Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands; Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit and Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Susan Vermeulen
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6500 HB, the Netherlands
| | - Michiel Oorsprong
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6500 HB, the Netherlands
| | - Ronald van Beek
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6500 HB, the Netherlands
| | - Ellen Kater-Baats
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6500 HB, the Netherlands
| | - Marc Pauper
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6500 HB, the Netherlands
| | - Guillaume van der Zande
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6500 HB, the Netherlands
| | - Dominique Smeets
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6500 HB, the Netherlands
| | - Daniel Olde Weghuis
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6500 HB, the Netherlands
| | | | - Alexander Hoischen
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6500 HB, the Netherlands; Radboud Institute of Medical Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, 6532 GA Nijmegen, the Netherlands.
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39
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Wang T, Zhang H, Zhou Y, Shi J. Extrachromosomal circular DNA: a new potential role in cancer progression. J Transl Med 2021; 19:257. [PMID: 34112178 PMCID: PMC8194206 DOI: 10.1186/s12967-021-02927-x] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 06/04/2021] [Indexed: 12/15/2022] Open
Abstract
Extrachromosomal circular DNA (eccDNA) is considered a circular DNA molecule that exists widely in nature and is independent of conventional chromosomes. eccDNA can be divided into small polydispersed circular DNA (spcDNA), telomeric circles (t-circles), microDNA, and extrachromosomal DNA (ecDNA) according to its size and sequence. Multiple studies have shown that eccDNA is the product of genomic instability, has rich and important biological functions, and is involved in the occurrence of many diseases, including cancer. In this review, we focus on the discovery history, formation process, characteristics, and physiological functions of eccDNAs; the potential functions of various eccDNAs in human cancer; and the research methods employed to study eccDNA.
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Affiliation(s)
- Tianyi Wang
- Nantong Key Laboratory of Translational Medicine in Cardiothoracic Diseases, and Research Institution of Translational Medicine in Cardiothoracic Diseases, Affiliated Hospital of Nantong University, No. 20, Xisi Road, Nantong, 226001, Jiangsu, China.,Department of Thoracic Surgery, Affiliated Hospital of Nantong University, No. 20, Xisi Road, Nantong, 226001, Jiangsu, China
| | - Haijian Zhang
- Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, No. 20, Xisi Road, Nantong, 226001, Jiangsu, China
| | - Youlang Zhou
- Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, No. 20, Xisi Road, Nantong, 226001, Jiangsu, China
| | - Jiahai Shi
- Nantong Key Laboratory of Translational Medicine in Cardiothoracic Diseases, and Research Institution of Translational Medicine in Cardiothoracic Diseases, Affiliated Hospital of Nantong University, No. 20, Xisi Road, Nantong, 226001, Jiangsu, China. .,Department of Thoracic Surgery, Affiliated Hospital of Nantong University, No. 20, Xisi Road, Nantong, 226001, Jiangsu, China.
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40
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Lestringant V, Duployez N, Penther D, Luquet I, Derrieux C, Lutun A, Preudhomme C, West M, Ouled-Haddou H, Devoldere C, Marolleau JP, Garçon L, Jedraszak G, Ferret Y. Optical genome mapping, a promising alternative to gold standard cytogenetic approaches in a series of acute lymphoblastic leukemias. Genes Chromosomes Cancer 2021; 60:657-667. [PMID: 33982372 DOI: 10.1002/gcc.22971] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 05/07/2021] [Accepted: 05/08/2021] [Indexed: 12/12/2022] Open
Abstract
Acute lymphoblastic leukemias (ALL) are characterized by a large number of cytogenetic abnormalities of clinical interest that require the use of several complementary techniques. Optical genome mapping (OGM) is based on analysis of ultra-high molecular weight DNA molecules that provides a high-resolution genome-wide analysis highlighting copy number and structural anomalies, including balanced translocations. We compared OGM to standard techniques (karyotyping, fluorescent in situ hybridization, single nucleotide polymorphism-array and reverse transcription multiplex ligation-dependent probe amplification) in 10 selected B or T-ALL. Eighty abnormalities were found using standard techniques of which 72 (90%) were correctly detected using OGM. Eight discrepancies were identified, while 12 additional anomalies were found by OGM. Among the discrepancies, four were detected in raw data but not retained because of filtering issues. However, four were truly missed, either because of a low variant allele frequency or because of a low coverage of some regions. Of the additional anomalies revealed by OGM, seven were confirmed by another technique, some of which are recurrent in ALL such as LMO2-TRA and MYC-TRB fusions. Despite false positive anomalies due to background noise and a case of inter-sample contamination secondarily identified, the OGM technology was relatively simple to use with little practice. Thus, OGM represents a promising alternative to cytogenetic techniques currently performed for ALL characterization. It enables a time and cost effective analysis allowing identification of complex cytogenetic events, including those currently inaccessible to standard techniques.
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Affiliation(s)
| | - Nicolas Duployez
- Univ. Lille, CNRS, Inserm, CHU Lille, Département d'Hématologie, UMR9020 - UMR-S 1277 - Canther - Cancer Heterogeneity, Plasticity and Resistance to Therapies, Lille, France
| | - Dominique Penther
- Department of Oncology Genetics, Henri Becquerel Center, Rouen, France
| | | | - Coralie Derrieux
- Laboratoire d'hématologie, Centre de Biologie - Pathologie- génétique, Lille, France
| | - Anne Lutun
- Service d'Hématologie, Oncologie, Immunologie et Rhumatologie Pédiatriques, CHU Amiens Picardie, France
| | - Claude Preudhomme
- Univ. Lille, CNRS, Inserm, CHU Lille, Département d'Hématologie, UMR9020 - UMR-S 1277 - Canther - Cancer Heterogeneity, Plasticity and Resistance to Therapies, Lille, France
| | - Michaela West
- Genotyping, Sequencing and optical mapping Platform (Gentyane), Clermont-Ferrand, France
| | | | - Catherine Devoldere
- Service d'Hématologie, Oncologie, Immunologie et Rhumatologie Pédiatriques, CHU Amiens Picardie, France
| | - Jean-Pierre Marolleau
- EA4666 HEMATIM, UPJV, Amiens, France.,Service d'Hématologie Clinique, CHU Amiens Picardie, France
| | - Loïc Garçon
- Service d'Hématologie Biologique, CHU Amiens Picardie, France.,EA4666 HEMATIM, UPJV, Amiens, France.,Laboratoire de Génétique Constitutionnelle, CHU Amiens Picardie, France
| | - Guillaume Jedraszak
- EA4666 HEMATIM, UPJV, Amiens, France.,Laboratoire de Génétique Constitutionnelle, CHU Amiens Picardie, France
| | - Yann Ferret
- Service d'Hématologie Biologique, CHU Amiens Picardie, France
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Raeisi Dehkordi S, Luebeck J, Bafna V. FaNDOM: Fast nested distance-based seeding of optical maps. PATTERNS (NEW YORK, N.Y.) 2021; 2:100248. [PMID: 34027500 PMCID: PMC8134938 DOI: 10.1016/j.patter.2021.100248] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 03/08/2021] [Accepted: 04/01/2021] [Indexed: 12/25/2022]
Abstract
Optical mapping (OM) provides single-molecule readouts of fluorescently labeled sequence motifs on long fragments of DNA, resolved to nucleotide-level coordinates. With the advent of microfluidic technologies for analysis of DNA molecules, it is possible to inexpensively generate long OM data ( > 150 kbp) at high coverage. In addition to scaffolding for de novo assembly, OM data can be aligned to a reference genome for identification of genomic structural variants. We introduce FaNDOM (Fast Nested Distance Seeding of Optical Maps)-an optical map alignment tool that greatly reduces the search space of the alignment process. On four benchmark human datasets, FaNDOM was significantly (4-14×) faster than competing tools while maintaining comparable sensitivity and specificity. We used FaNDOM to map variants in three cancer cell lines and identified many biologically interesting structural variants, including deletions, duplications, gene fusions and gene-disrupting rearrangements. FaNDOM is publicly available at https://github.com/jluebeck/FaNDOM.
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Affiliation(s)
- Siavash Raeisi Dehkordi
- Department of Computer Science & Engineering, University of California, San Diego, La Jolla, CA 92093, USA
| | - Jens Luebeck
- Department of Computer Science & Engineering, University of California, San Diego, La Jolla, CA 92093, USA
- Bioinformatics & Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA 92093, USA
| | - Vineet Bafna
- Department of Computer Science & Engineering, University of California, San Diego, La Jolla, CA 92093, USA
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42
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Qiu H, Shao ZY, Wen X, Zhang LZ. New insights of extrachromosomal DNA in tumorigenesis and therapeutic resistance of cancer. Am J Cancer Res 2020; 10:4056-4065. [PMID: 33414985 PMCID: PMC7783743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Accepted: 11/03/2020] [Indexed: 06/12/2023] Open
Abstract
In the past few decades, the studies of extrachromosomal DNA (ecDNA), which existed independently of chromosomes, were tepid. However, recent studies on ecDNA rekindled the enthusiasm of oncologists for further studying ecDNA. In this review, we summarized the recent advances of ecDNA in oncogenesis and oncotherapy. ecDNA consists of highly open chromatin, and its circular structure enables ultra-long-range chromatin contacts. ecDNA is not inherited in accordance with Mendel's laws. Furthermore, ecDNA is widely existed in cancer cells, but almost never found in normal cells. It has been found that ecDNA played important roles in tumorigenesis and tumor progression, including oncogene amplification, tumor heterogeneity, enhancer hijacking and genomic rearrangement. More importantly, ecDNA is closely related to cancer treatment resistance. In hence, further understanding of ecDNA would contribute to developing innovative targeting ecDNA therapies.
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Affiliation(s)
- Hui Qiu
- Cancer Institute, Xuzhou Medical UniversityXuzhou 221000, Jiangsu, China
- Department of Radiation Oncology, Affiliated Hospital of Xuzhou Medical UniversityXuzhou 221000, Jiangsu, China
| | - Zhi-Ying Shao
- Department of Interventional Ultrasound, Institute of Cancer Research and Basic Medical Sciences of Chinese Academy of Sciences, Cancer Hospital of University of Chinese Academy of Sciences, Zhejiang Cancer HospitalHangzhou 310000, Zhejiang, China
| | - Xin Wen
- Cancer Institute, Xuzhou Medical UniversityXuzhou 221000, Jiangsu, China
- Department of Radiation Oncology, Affiliated Hospital of Xuzhou Medical UniversityXuzhou 221000, Jiangsu, China
| | - Long-Zhen Zhang
- Cancer Institute, Xuzhou Medical UniversityXuzhou 221000, Jiangsu, China
- Department of Radiation Oncology, Affiliated Hospital of Xuzhou Medical UniversityXuzhou 221000, Jiangsu, China
- Jiangsu Center for The Collaboration and Innovation of Cancer BiotherapyJiangsu, China
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