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Zhang H, Liu B, Cheng J, Li Z, Jia M, Li M, Zhao L, Wang L, Xi Y. Characterization and integrated analysis of extrachromosomal DNA amplification in hematological malignancies. Neoplasia 2024; 56:101025. [PMID: 38996538 PMCID: PMC11301242 DOI: 10.1016/j.neo.2024.101025] [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: 02/27/2024] [Accepted: 07/03/2024] [Indexed: 07/14/2024]
Abstract
The study of extrachromosomal DNA (ecDNA), an element existing beyond classical chromosomes, contributes to creating a more comprehensive map of the cancer genome. In hematological malignancies, research on ecDNA has lacked comprehensive investigation into its frequency, structure, function, and mechanisms of formation. We re-analyzed WGS data from 208 hematological cancer samples across 11 types, focusing on ecDNA characteristics. Amplification of ecDNA was observed in 7 of these cancer types, with no instances found in normal blood cells. Patients with leukemia carrying ecDNA showed a low induction therapy remission rate (<30 %), a high relapse rate (75 %) among those who achieved complete remission, and a significantly lower survival rate compared to the general leukemia population, even those with complex chromosomal karyotypes. Among the 55 identified ecDNA amplicons, 268 genes were detected, of which 38 are known cancer-related genes exhibiting significantly increased copy numbers. By integrating RNA-Seq data, we discovered that the increased copy number, resulting in a higher amount of available DNA templates, indeed leads to the elevated expression of genes encoded on ecDNA. Additionally, through the integration of H3K4me3/H3K27ac chromatin immunoprecipitation sequencing, assay for transposase-accessible chromatin with sequencing, and high-throughput chromosome conformation capture data, we identified that ecDNA amplifications can also facilitate efficient, copy number-independent amplification of oncogenes. This process is linked to active histone modifications, improved chromatin accessibility, and enhancer hijacking, all of which are effects of ecDNA amplification. Mechanistically, chromothripsis and dysfunction of the DNA repair pathway can, to some extent, explain the origin of ecDNA.
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Affiliation(s)
- Hao Zhang
- Department of Hematology, The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, China
| | - Bei Liu
- Department of Hematology, The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, China
| | - Juan Cheng
- Department of Hematology, The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, China
| | - Zijian Li
- Department of Hematology, The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, China
| | - Mingfeng Jia
- Department of Hematology, The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, China
| | - Ming Li
- Department of Hematology, The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, China
| | - Long Zhao
- Department of Hematology, The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, China
| | - Lina Wang
- Department of Hematology, The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, China
| | - Yaming Xi
- Department of Hematology, The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, China.
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2
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Maraqah HH, Aboubechara JP, Abu-Asab MS, Lee HS, Aboud O. Excessive lipid production shapes glioma tumor microenvironment. Ultrastruct Pathol 2024; 48:367-377. [PMID: 39157967 DOI: 10.1080/01913123.2024.2392728] [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: 04/18/2024] [Revised: 05/27/2024] [Accepted: 08/12/2024] [Indexed: 08/20/2024]
Abstract
Disrupted lipid metabolism is a characteristic of gliomas. This study utilizes an ultrastructural approach to characterize the prevalence and distribution of lipids within gliomas. This study made use of tissue from IDH1 wild type (IDH1-wt) glioblastoma (n = 18) and IDH1 mutant (IDH1-mt) astrocytoma (n = 12) tumors. We uncover a prevalent and intriguing surplus of lipids. The bulk of the lipids manifested as sizable cytoplasmic inclusions and extracellular deposits in the tumor microenvironment (TME); in some tumors the lipids were stored in the classical membraneless spheroidal lipid droplets (LDs). Frequently, lipids accumulated inside mitochondria, suggesting possible dysfunction of the beta-oxidation pathway. Additionally, the tumor vasculature have lipid deposits in their lumen and vessel walls; this lipid could have shifted in from the tumor microenvironment or have been produced by the vessel-invading tumor cells. Lipid excess in gliomas stems from disrupted beta-oxidation and dysfunctional oxidative phosphorylation pathways. The implications of this lipid-driven environment include structural support for the tumor cells and protection against immune responses, non-lipophilic drugs, and free radicals.
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Affiliation(s)
- Haitham H Maraqah
- Medicine & Health Science Faculty, School of Meidicine, An-Najah National University, Nablus, Palestine
| | - John Paul Aboubechara
- Department of Neurology, University of California Davis, Sacramento, CA, USA
- Comprehensive Cancer Center, University of California, Davis, Sacramento, CA, USA
| | - Mones S Abu-Asab
- Electron Microscopy Lab, Biological Imaging Core, National Eye Institute, National Institutes of Health, Bethesda, MD, USA
| | - Han Sung Lee
- Department of Pathology and Laboratory Medicine, UC Davis Comprehensive Cancer Center, University of California Davis, Sacramento, CA, USA
| | - Orwa Aboud
- Department of Neurology, University of California Davis, Sacramento, CA, USA
- Comprehensive Cancer Center, University of California, Davis, Sacramento, CA, USA
- Department of Neurosurgery, UC Davis Comprehensive Cancer Center, University of California Davis, Sacramento, CA, USA
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3
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Li F, Ming W, Lu W, Wang Y, Dong X, Bai Y. Bioinformatics advances in eccDNA identification and analysis. Oncogene 2024:10.1038/s41388-024-03138-6. [PMID: 39209966 DOI: 10.1038/s41388-024-03138-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 08/09/2024] [Accepted: 08/16/2024] [Indexed: 09/04/2024]
Abstract
Extrachromosomal circular DNAs (eccDNAs) are a unique class of chromosome-originating circular DNA molecules, which are closely linked to oncogene amplification. Due to recent technological advances, particularly in high-throughput sequencing technology, bioinformatics methods based on sequencing data have become primary approaches for eccDNA identification and functional analysis. Currently, eccDNA-relevant databases incorporate previously identified eccDNA and provide thorough functional annotations and predictions, thereby serving as a valuable resource for eccDNA research. In this review, we collected around 20 available eccDNA-associated bioinformatics tools, including identification tools and annotation databases, and summarized their properties and capabilities. We evaluated some of the eccDNA detection methods in simulated data to offer recommendations for future eccDNA detection. We also discussed the current limitations and prospects of bioinformatics methodologies in eccDNA research.
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Affiliation(s)
- Fuyu Li
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, PR China
| | - Wenlong Ming
- Institute for AI in Medicine, School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, 210044, PR China.
| | - Wenxiang Lu
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, PR China
| | - Ying Wang
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, PR China
| | - Xianjun Dong
- Adams Center of Parkinson's Disease Research, Yale School of Medicine, Yale University, 100 College St, New Haven, CT, 06511, USA.
- Department of Neurology, Yale School of Medicine, Yale University, 100 College St, New Haven, CT, 06511, USA.
| | - Yunfei Bai
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, PR China.
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Tsiakanikas P, Athanasopoulou K, Darioti IA, Agiassoti VT, Theocharis S, Scorilas A, Adamopoulos PG. Beyond the Chromosome: Recent Developments in Decoding the Significance of Extrachromosomal Circular DNA (eccDNA) in Human Malignancies. Life (Basel) 2024; 14:922. [PMID: 39202666 PMCID: PMC11355349 DOI: 10.3390/life14080922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2024] [Revised: 07/13/2024] [Accepted: 07/23/2024] [Indexed: 09/03/2024] Open
Abstract
Extrachromosomal circular DNA (eccDNA) is a form of a circular double-stranded DNA that exists independently of conventional chromosomes. eccDNA exhibits a broad and random distribution across eukaryotic cells and has been associated with tumor-related properties due to its ability to harbor the complete gene information of oncogenes. The complex and multifaceted mechanisms underlying eccDNA formation include pathways such as DNA damage repair, breakage-fusion-bridge (BFB) mechanisms, chromothripsis, and cell apoptosis. Of note, eccDNA plays a pivotal role in tumor development, genetic heterogeneity, and therapeutic resistance. The high copy number and transcriptional activity of oncogenes carried by eccDNA contribute to the accelerated growth of tumors. Notably, the amplification of oncogenes on eccDNA is implicated in the malignant progression of cancer cells. The improvement of high-throughput sequencing techniques has greatly enhanced our knowledge of eccDNA by allowing for a detailed examination of its genetic structures and functions. However, we still lack a comprehensive and efficient annotation for eccDNA, while challenges persist in the study and understanding of the functional role of eccDNA, emphasizing the need for the development of robust methodologies. The potential clinical applications of eccDNA, such as its role as a measurable biomarker or therapeutic target in diseases, particularly within the spectrum of human malignancies, is a promising field for future research. In conclusion, eccDNA represents a quite dynamic and multifunctional genetic entity with far-reaching implications in cancer pathogenesis and beyond. Further research is essential to unravel the molecular pathways of eccDNA formation, elucidate its functional roles, and explore its clinical applications. Addressing these aspects is crucial for advancing our understanding of genomic instability and developing novel strategies for tailored therapeutics, especially in cancer.
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Affiliation(s)
- Panagiotis Tsiakanikas
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, 15701 Athens, Greece
| | - Konstantina Athanasopoulou
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, 15701 Athens, Greece
| | - Ioanna A. Darioti
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, 15701 Athens, Greece
| | - Vasiliki Taxiarchoula Agiassoti
- First Department of Pathology, Medical School, National and Kapodistrian University of Athens, 15772 Athens, Greece; (V.T.A.)
| | - Stamatis Theocharis
- First Department of Pathology, Medical School, National and Kapodistrian University of Athens, 15772 Athens, Greece; (V.T.A.)
| | - Andreas Scorilas
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, 15701 Athens, Greece
| | - Panagiotis G. Adamopoulos
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, 15701 Athens, Greece
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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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Shumyantseva VV, Bulko TV, Chistov AA, Kolesanova EF, Agafonova LE. Pharmacogenomic Studies of Antiviral Drug Favipiravir. Pharmaceutics 2024; 16:503. [PMID: 38675164 PMCID: PMC11053860 DOI: 10.3390/pharmaceutics16040503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 03/22/2024] [Accepted: 04/01/2024] [Indexed: 04/28/2024] Open
Abstract
In this work, we conducted a study of the interaction between DNA and favipiravir (FAV). This chemotherapeutic compound is an antiviral drug for the treatment of COVID-19 and other infections caused by RNA viruses. This paper examines the electroanalytical characteristics of FAV. The determined concentrations correspond to therapeutically significant ones in the range of 50-500 µM (R2 = 0.943). We have shown that FAV can be electro-oxidized around the potential of +0.96 V ÷ +0.98 V (vs. Ag/AgCl). A mechanism for electrochemical oxidation of FAV was proposed. The effect of the drug on DNA was recorded as changes in the intensity of electrochemical oxidation of heterocyclic nucleobases (guanine, adenine and thymine) using screen-printed graphite electrodes modified with single-walled carbon nanotubes and titanium oxide nanoparticles. In this work, the binding constants (Kb) of FAV/dsDNA complexes for guanine, adenine and thymine were calculated. The values of the DNA-mediated electrochemical decline coefficient were calculated as the ratio of the intensity of signals for the electrochemical oxidation of guanine, adenine and thymine in the presence of FAV to the intensity of signals for the electro-oxidation of these bases without drug (S, %). Based on the analysis of electrochemical parameters, values of binding constants and spectral data, intercalation was proposed as the principal mechanism of the antiviral drug FAV interaction with DNA. The interaction with calf thymus DNA also confirmed the intercalation mechanism. However, an additional mode of interaction, such as a damage effect together with electrostatic interactions, was revealed in a prolonged exposure of DNA to FAV.
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Affiliation(s)
- Victoria V. Shumyantseva
- Institute of Biomedical Chemistry, Pogodinskaya Street, 10, Build 8, Moscow 119121, Russia; (T.V.B.); (A.A.C.); (E.F.K.); (L.E.A.)
- Department of Biochemistry, Pirogov Russian National Research Medical University, Ostrovitianov Street, 1, Moscow 117997, Russia
| | - Tatiana V. Bulko
- Institute of Biomedical Chemistry, Pogodinskaya Street, 10, Build 8, Moscow 119121, Russia; (T.V.B.); (A.A.C.); (E.F.K.); (L.E.A.)
| | - Alexey A. Chistov
- Institute of Biomedical Chemistry, Pogodinskaya Street, 10, Build 8, Moscow 119121, Russia; (T.V.B.); (A.A.C.); (E.F.K.); (L.E.A.)
| | - Ekaterina F. Kolesanova
- Institute of Biomedical Chemistry, Pogodinskaya Street, 10, Build 8, Moscow 119121, Russia; (T.V.B.); (A.A.C.); (E.F.K.); (L.E.A.)
| | - Lyubov E. Agafonova
- Institute of Biomedical Chemistry, Pogodinskaya Street, 10, Build 8, Moscow 119121, Russia; (T.V.B.); (A.A.C.); (E.F.K.); (L.E.A.)
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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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Shumyantseva VV, Pronina VV, Bulko TV, Agafonova LE. Electroanalysis in Pharmacogenomic Studies: Mechanisms of Drug Interaction with DNA. BIOCHEMISTRY. BIOKHIMIIA 2024; 89:S224-S233. [PMID: 38621752 DOI: 10.1134/s0006297924140128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 10/03/2023] [Accepted: 10/11/2023] [Indexed: 04/17/2024]
Abstract
The review discusses electrochemical methods for analysis of drug interactions with DNA. The electroanalysis method is based on the registration of interaction-induced changes in the electrochemical oxidation potential of heterocyclic nitrogenous bases in the DNA molecule and in the maximum oxidation current amplitude. The mechanisms of DNA-drug interactions can be identified based on the shift in the electrooxidation potential of heterocyclic nitrogenous bases toward more negative (cathodic) or positive (anodic) values. Drug intercalation into DNA shifts the electrochemical oxidation potential to positive values, indicating thermodynamically unfavorable process that hinders oxidation of nitrogenous bases in DNA. The potential shift toward the negative values indicates electrostatic interactions, e.g., drug binding in the DNA minor groove, since this process does not interfere with the electrochemical oxidation of bases. The concentration-dependent decrease in the intensity of electrochemical oxidation of DNA bases allows to quantify the type of interaction and calculate the binding constants.
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Affiliation(s)
- Victoria V Shumyantseva
- Orekhovich Research Institute of Biomedical Chemistry, Laboratory of Bioelectrochemistry, Moscow, 119121, Russia.
- Department of Biochemistry, Pirogov Russian National Research Medical University, Moscow, 117997, Russia
| | - Veronica V Pronina
- Orekhovich Research Institute of Biomedical Chemistry, Laboratory of Bioelectrochemistry, Moscow, 119121, Russia
| | - Tatiana V Bulko
- Orekhovich Research Institute of Biomedical Chemistry, Laboratory of Bioelectrochemistry, Moscow, 119121, Russia
| | - Lyubov E Agafonova
- Orekhovich Research Institute of Biomedical Chemistry, Laboratory of Bioelectrochemistry, Moscow, 119121, Russia
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9
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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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10
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Maraqah H, Aboubechara JP, Abu-Asab M, Lee HS, Aboud O. Excessive Lipid Production Shapes Glioma Tumor Microenvironment. RESEARCH SQUARE 2023:rs.3.rs-3694185. [PMID: 38168422 PMCID: PMC10760230 DOI: 10.21203/rs.3.rs-3694185/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Disrupted lipid metabolism is a characteristic of gliomas. This study utilizes an ultrastructural approach to characterize the prevalence and distribution of lipids within gliomas. This study made use of tissue from IDH1 wild type (IDH1-wt) glioblastoma (n = 18) and IDH1 mutant (IDH1-mt) astrocytoma (n = 12) tumors. We uncover a prevalent and intriguing surplus of lipids. The bulk of the lipids manifested as sizable cytoplasmic inclusions and extracellular deposits in the tumor microenvironment (TME); in some tumors the lipids were stored in the classical membraneless spheroidal lipid droplets (LDs). Frequently, lipids accumulated inside mitochondria, suggesting possible dysfunction of the beta-oxidation pathway. Additionally, the tumor vasculature have lipid deposits in their lumen and vessel walls; this lipid could have shifted in from the tumor microenvironment or have been produced by the vessel-invading tumor cells. Lipid excess in gliomas stems from disrupted beta-oxidation and dysfunctional oxidative phosphorylation pathways. The implications of this lipid-driven environment include structural support for the tumor cells and protection against immune responses, non-lipophilic drugs, and free radicals.
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11
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Wan Y, Mu Q, Krzysztoń R, Cohen J, Coraci D, Helenek C, Tompkins C, Lin A, Farquhar K, Cross E, Wang J, Balázsi G. Adaptive DNA amplification of synthetic gene circuit opens a way to overcome cancer chemoresistance. Proc Natl Acad Sci U S A 2023; 120:e2303114120. [PMID: 38019857 DOI: 10.1073/pnas.2303114120] [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: 02/22/2023] [Accepted: 09/27/2023] [Indexed: 12/01/2023] Open
Abstract
Drug resistance continues to impede the success of cancer treatments, creating a need for experimental model systems that are broad, yet simple, to allow the identification of mechanisms and novel countermeasures applicable to many cancer types. To address these needs, we investigated a set of engineered mammalian cell lines with synthetic gene circuits integrated into their genome that evolved resistance to Puromycin. We identified DNA amplification as the mechanism underlying drug resistance in 4 out of 6 replicate populations. Triplex-forming oligonucleotide (TFO) treatment combined with Puromycin could efficiently suppress the growth of cell populations with DNA amplification. Similar observations in human cancer cell lines suggest that TFOs could be broadly applicable to mitigate drug resistance, one of the major difficulties in treating cancer.
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Affiliation(s)
- Yiming Wan
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794
- The Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794
| | - Quanhua Mu
- Department of Chemical and Biological Engineering, Division of Life Science, State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science and Technology, Hong Kong Special Administrative Region 999077, China
| | - Rafał Krzysztoń
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794
- The Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794
| | - Joseph Cohen
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794
- The Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794
| | - Damiano Coraci
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794
- The Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794
| | - Christopher Helenek
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794
- The Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794
| | | | - Annie Lin
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794
- The Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794
| | - Kevin Farquhar
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794
- The Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794
| | | | - Jiguang Wang
- Department of Chemical and Biological Engineering, Division of Life Science, State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science and Technology, Hong Kong Special Administrative Region 999077, China
| | - Gábor Balázsi
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794
- The Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, NY 11794
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12
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Rose JC, Wong ITL, Daniel B, Jones MG, Yost KE, Hung KL, Curtis EJ, Mischel PS, Chang HY. Disparate pathways for extrachromosomal DNA biogenesis and genomic DNA repair. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.22.563489. [PMID: 37961138 PMCID: PMC10634728 DOI: 10.1101/2023.10.22.563489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Oncogene amplification on extrachromosomal DNA (ecDNA) is a pervasive driver event in cancer, yet our understanding of how ecDNA forms is limited. Here, we couple a CRISPR-based method for induction of ecDNA with extensive characterization of newly formed ecDNA to examine ecDNA biogenesis. We find that DNA circularization is efficient, irrespective of 3D genome context, with formation of a 1 Mb and 1.8 Mb ecDNA both reaching 15%. We show non-homologous end joining and microhomology mediated end joining both contribute to ecDNA formation, while inhibition of DNA-PKcs and ATM have opposing impacts on ecDNA formation. EcDNA and the corresponding chromosomal excision scar form at significantly different rates and respond differently to DNA-PKcs and ATM inhibition. Taken together, our results support a model of ecDNA formation in which double strand break ends dissociate from their legitimate ligation partners prior to joining of illegitimate ends to form the ecDNA and excision scar.
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Affiliation(s)
- John C Rose
- 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 School of Medicine, Stanford, CA, USA
| | - Bence Daniel
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Matthew G Jones
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - Kathryn E Yost
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - King L Hung
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - Ellis J Curtis
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Paul S Mischel
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Howard Y Chang
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
- Howard Hughes Medical Institute, Stanford, CA, USA
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13
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Guo T, Chen GQ, Li XF, Wang M, Liu KM, Yang XY, Liu SC, Feng YL, Liu PY, Lin H, Xie AY. Small extrachromosomal circular DNA harboring targeted tumor suppressor gene mutations supports intratumor heterogeneity in mouse liver cancer induced by multiplexed CRISPR/Cas9. Genome Med 2023; 15:80. [PMID: 37803452 PMCID: PMC10557318 DOI: 10.1186/s13073-023-01230-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 09/08/2023] [Indexed: 10/08/2023] Open
Abstract
BACKGROUND Primary liver cancer has significant intratumor genetic heterogeneity (IGH), which drives cancer evolution and prevents effective cancer treatment. CRISPR/Cas9-induced mouse liver cancer models can be used to elucidate how IGH is developed. However, as CRISPR/Cas9 could induce chromothripsis and extrachromosomal DNA in cells in addition to targeted mutations, we wondered whether this effect contributes to the development of IGH in CRISPR/Cas9-induced mouse liver cancer. METHODS CRISPR/Cas9-based targeted somatic multiplex-mutagenesis was used to target 34 tumor suppressor genes (TSGs) for induction of primary liver tumors in mice. Target site mutations in tumor cells were analyzed and compared between single-cell clones and their subclones, between different time points of cell proliferation, and between parental clones and single-cell clones derived from mouse subcutaneous allografts. Genomic instability and generation of extrachromosomal circular DNA (eccDNA) was explored as a potential mechanism underlying the oscillation of target site mutations in these liver tumor cells. RESULTS After efficiently inducing autochthonous liver tumors in mice within 30-60 days, analyses of CRISPR/Cas9-induced tumors and single-cell clones derived from tumor nodules revealed multiplexed and heterogeneous mutations at target sites. Many target sites frequently displayed more than two types of allelic variations with varying frequencies in single-cell clones, indicating increased copy number of these target sites. The types and frequencies of targeted TSG mutations continued to change at some target sites between single-cell clones and their subclones. Even the proliferation of a subclone in cell culture and in mouse subcutaneous graft altered the types and frequencies of targeted TSG mutations in the absence of continuing CRISPR/Cas9 genome editing, indicating a new source outside primary chromosomes for the development of IGH in these liver tumors. Karyotyping of tumor cells revealed genomic instability in these cells manifested by high levels of micronuclei and chromosomal aberrations including chromosomal fragments and chromosomal breaks. Sequencing analysis further demonstrated the generation of eccDNA harboring targeted TSG mutations in these tumor cells. CONCLUSIONS Small eccDNAs carrying TSG mutations may serve as an important source supporting intratumor heterogeneity and tumor evolution in mouse liver cancer induced by multiplexed CRISPR/Cas9.
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Affiliation(s)
- Tao Guo
- Innovation Center for Minimally Invasive Technique and Device, Department of General Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Rd, Hangzhou, Zhejiang, 310019, P. R. China
- Institute of Translational Medicine, Zhejiang University School of Medicine and Zhejiang University Cancer Center, 268 Kai Xuan Rd, Hangzhou, Zhejiang, 310029, P. R. China
| | - Guo-Qiao Chen
- Innovation Center for Minimally Invasive Technique and Device, Department of General Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Rd, Hangzhou, Zhejiang, 310019, P. R. China
- Institute of Translational Medicine, Zhejiang University School of Medicine and Zhejiang University Cancer Center, 268 Kai Xuan Rd, Hangzhou, Zhejiang, 310029, P. R. China
| | - Xu-Fan Li
- Innovation Center for Minimally Invasive Technique and Device, Department of General Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Rd, Hangzhou, Zhejiang, 310019, P. R. China
- Institute of Translational Medicine, Zhejiang University School of Medicine and Zhejiang University Cancer Center, 268 Kai Xuan Rd, Hangzhou, Zhejiang, 310029, P. R. China
| | - Meng Wang
- Innovation Center for Minimally Invasive Technique and Device, Department of General Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Rd, Hangzhou, Zhejiang, 310019, P. R. China
- Institute of Translational Medicine, Zhejiang University School of Medicine and Zhejiang University Cancer Center, 268 Kai Xuan Rd, Hangzhou, Zhejiang, 310029, P. R. China
| | - Kun-Ming Liu
- Innovation Center for Minimally Invasive Technique and Device, Department of General Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Rd, Hangzhou, Zhejiang, 310019, P. R. China
- Institute of Translational Medicine, Zhejiang University School of Medicine and Zhejiang University Cancer Center, 268 Kai Xuan Rd, Hangzhou, Zhejiang, 310029, P. R. China
| | - Xiao-Ying Yang
- Innovation Center for Minimally Invasive Technique and Device, Department of General Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Rd, Hangzhou, Zhejiang, 310019, P. R. China
- Institute of Translational Medicine, Zhejiang University School of Medicine and Zhejiang University Cancer Center, 268 Kai Xuan Rd, Hangzhou, Zhejiang, 310029, P. R. China
| | - Si-Cheng Liu
- Innovation Center for Minimally Invasive Technique and Device, Department of General Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Rd, Hangzhou, Zhejiang, 310019, P. R. China
- Institute of Translational Medicine, Zhejiang University School of Medicine and Zhejiang University Cancer Center, 268 Kai Xuan Rd, Hangzhou, Zhejiang, 310029, P. R. China
| | - Yi-Li Feng
- Innovation Center for Minimally Invasive Technique and Device, Department of General Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Rd, Hangzhou, Zhejiang, 310019, P. R. China
- Institute of Translational Medicine, Zhejiang University School of Medicine and Zhejiang University Cancer Center, 268 Kai Xuan Rd, Hangzhou, Zhejiang, 310029, P. R. China
| | - Peng-Yuan Liu
- Innovation Center for Minimally Invasive Technique and Device, Department of General Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Rd, Hangzhou, Zhejiang, 310019, P. R. China.
- Institute of Translational Medicine, Zhejiang University School of Medicine and Zhejiang University Cancer Center, 268 Kai Xuan Rd, Hangzhou, Zhejiang, 310029, P. R. China.
| | - Hui Lin
- Innovation Center for Minimally Invasive Technique and Device, Department of General Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Rd, Hangzhou, Zhejiang, 310019, P. R. China.
| | - An-Yong Xie
- Innovation Center for Minimally Invasive Technique and Device, Department of General Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Rd, Hangzhou, Zhejiang, 310019, P. R. China.
- Institute of Translational Medicine, Zhejiang University School of Medicine and Zhejiang University Cancer Center, 268 Kai Xuan Rd, Hangzhou, Zhejiang, 310029, P. R. China.
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14
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Liu HW, Roisné-Hamelin F, Gruber S. SMC-based immunity against extrachromosomal DNA elements. Biochem Soc Trans 2023; 51:1571-1583. [PMID: 37584323 PMCID: PMC10586767 DOI: 10.1042/bst20221395] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 08/01/2023] [Accepted: 08/03/2023] [Indexed: 08/17/2023]
Abstract
SMC and SMC-like complexes promote chromosome folding and genome maintenance in all domains of life. Recently, they were also recognized as factors in cellular immunity against foreign DNA. In bacteria and archaea, Wadjet and Lamassu are anti-plasmid/phage defence systems, while Smc5/6 and Rad50 complexes play a role in anti-viral immunity in humans. This raises an intriguing paradox - how can the same, or closely related, complexes on one hand secure the integrity and maintenance of chromosomal DNA, while on the other recognize and restrict extrachromosomal DNA? In this minireview, we will briefly describe the latest understanding of each of these complexes in immunity including speculations on how principles of SMC(-like) function may explain how the systems recognize linear or circular forms of invading DNA.
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Affiliation(s)
- Hon Wing Liu
- Department of Fundamental Microbiology (DMF), Faculty of Biology and Medicine (FBM), University of Lausanne (UNIL), 1015 Lausanne, Switzerland
| | - Florian Roisné-Hamelin
- Department of Fundamental Microbiology (DMF), Faculty of Biology and Medicine (FBM), University of Lausanne (UNIL), 1015 Lausanne, Switzerland
| | - Stephan Gruber
- Department of Fundamental Microbiology (DMF), Faculty of Biology and Medicine (FBM), University of Lausanne (UNIL), 1015 Lausanne, Switzerland
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15
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dos Santos CR, Hansen LB, Rojas-Triana M, Johansen AZ, Perez-Moreno M, Regenberg B. Variation of extrachromosomal circular DNA in cancer cell lines. Comput Struct Biotechnol J 2023; 21:4207-4214. [PMID: 37705597 PMCID: PMC10495552 DOI: 10.1016/j.csbj.2023.08.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 08/26/2023] [Accepted: 08/26/2023] [Indexed: 09/15/2023] Open
Abstract
The presence of oncogene carrying eccDNAs is strongly associated with carcinogenesis and poor patient survival. Tumour biopsies and in vitro cancer cell lines are frequently utilized as models to investigate the role of eccDNA in cancer. However, eccDNAs are often lost during the in vitro growth of cancer cell lines, questioning the reproducibility of studies utilizing cancer cell line models. Here, we conducted a comprehensive analysis of eccDNA variability in seven cancer cell lines (MCA3D, PDV, HaCa4, CarC, MIA-PaCa-2, AsPC-1, and PC-3). We compared the content of unique eccDNAs between triplicates of each cell line and found that the number of unique eccDNA is specific to each cell line, while the eccDNA sequence content varied greatly among triplicates (∼ 0-1% eccDNA coordinate commonality). In the PC-3 cell line, we found that the large eccDNA (ecDNA) with MYC is present in high-copy number in an NCI cell line isolate but not present in ATCC isolates. Together, these results reveal that the sequence content of eccDNA is highly variable in cancer cell lines. This highlights the importance of testing cancer cell lines before use, and to enrich for subclones in cell lines with the desired eccDNA to get relatively pure population for studying the role of eccDNA in cancer.
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Affiliation(s)
| | | | - Monica Rojas-Triana
- Ecology and Evolution, Department of Biology, University of Copenhagen, Denmark
| | - Astrid Zedlitz Johansen
- Department of Oncology, Copenhagen University Hospital, Herlev and Gentofte, DK-2730 Herlev, Denmark
| | - Mirna Perez-Moreno
- Cell biology and Physiology, Department of Biology, University of Copenhagen, Denmark
| | - Birgitte Regenberg
- Ecology and Evolution, Department of Biology, University of Copenhagen, Denmark
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16
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Chang L, Deng E, Wang J, Zhou W, Ao J, Liu R, Su D, Fan X. Single-cell third-generation sequencing-based multi-omics uncovers gene expression changes governed by ecDNA and structural variants in cancer cells. Clin Transl Med 2023; 13:e1351. [PMID: 37517066 PMCID: PMC10387328 DOI: 10.1002/ctm2.1351] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 07/17/2023] [Accepted: 07/21/2023] [Indexed: 08/01/2023] Open
Abstract
BACKGROUND Cancer cells often exhibit large-scale genomic variations, such as circular extrachromosomal DNA (ecDNA) and structural variants (SVs), which have been highly correlated with the initiation and progression of cancer. Currently, no adequate method exists to unveil how these variations regulate gene expression in heterogeneous cancer cell populations at a single-cell resolution. METHODS Here, we developed a single-cell multi-omics sequencing method, scGTP-seq, to analyse ecDNA and SVs using long-read sequencing technologies. RESULTS AND CONCLUSIONS We demonstrated that our method can efficiently detect ecDNA and SVs and illustrated how these variations affect transcriptomic changes in various cell lines. Finally, we applied and validated this method in a clinical sample of hepatocellular carcinoma (HCC), demonstrating a feasible way to monitor the evolution of ecDNA and SVs during cancer progression.
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Affiliation(s)
- Lei Chang
- GMU‐GIBH Joint School of Life SciencesGuangdong‐Hong Kong‐Macau Joint Laboratory for Cell Fate Regulation and DiseasesGuangzhou National LaboratoryGuangzhou Medical UniversityGuangzhouGuangdong ProvinceP. R. China
- Innovation centre for Advanced Interdisciplinary MedicineThe Fifth Affiliated Hospital of Guangzhou Medical UniversityGuangzhouGuangdong ProvinceP. R. China
- Department of Biomedical DevicesThe Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory)GuangzhouGuangdong ProvinceP. R. China
- Present address:
Department of Cellular and Molecular MedicineUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Enze Deng
- GMU‐GIBH Joint School of Life SciencesGuangdong‐Hong Kong‐Macau Joint Laboratory for Cell Fate Regulation and DiseasesGuangzhou National LaboratoryGuangzhou Medical UniversityGuangzhouGuangdong ProvinceP. R. China
- Department of Biomedical DevicesThe Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory)GuangzhouGuangdong ProvinceP. R. China
| | - Jun Wang
- GMU‐GIBH Joint School of Life SciencesGuangdong‐Hong Kong‐Macau Joint Laboratory for Cell Fate Regulation and DiseasesGuangzhou National LaboratoryGuangzhou Medical UniversityGuangzhouGuangdong ProvinceP. R. China
- Department of Biomedical DevicesThe Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory)GuangzhouGuangdong ProvinceP. R. China
| | - Wei Zhou
- Department of Biomedical DevicesThe Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory)GuangzhouGuangdong ProvinceP. R. China
| | - Jian Ao
- Innovation centre for Advanced Interdisciplinary MedicineThe Fifth Affiliated Hospital of Guangzhou Medical UniversityGuangzhouGuangdong ProvinceP. R. China
| | - Rong Liu
- GMU‐GIBH Joint School of Life SciencesGuangdong‐Hong Kong‐Macau Joint Laboratory for Cell Fate Regulation and DiseasesGuangzhou National LaboratoryGuangzhou Medical UniversityGuangzhouGuangdong ProvinceP. R. China
- Department of Biomedical DevicesThe Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory)GuangzhouGuangdong ProvinceP. R. China
| | - Dan Su
- GMU‐GIBH Joint School of Life SciencesGuangdong‐Hong Kong‐Macau Joint Laboratory for Cell Fate Regulation and DiseasesGuangzhou National LaboratoryGuangzhou Medical UniversityGuangzhouGuangdong ProvinceP. R. China
- Department of Biomedical DevicesThe Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory)GuangzhouGuangdong ProvinceP. R. China
- The Guangzhou Institutes of Biomedicine and HealthChinese Academy of SciencesGuangzhouGuangdong ProvinceP. R. China
| | - Xiaoying Fan
- GMU‐GIBH Joint School of Life SciencesGuangdong‐Hong Kong‐Macau Joint Laboratory for Cell Fate Regulation and DiseasesGuangzhou National LaboratoryGuangzhou Medical UniversityGuangzhouGuangdong ProvinceP. R. China
- Innovation centre for Advanced Interdisciplinary MedicineThe Fifth Affiliated Hospital of Guangzhou Medical UniversityGuangzhouGuangdong ProvinceP. R. China
- Department of Biomedical DevicesThe Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory)GuangzhouGuangdong ProvinceP. R. China
- The Guangzhou Institutes of Biomedicine and HealthChinese Academy of SciencesGuangzhouGuangdong ProvinceP. R. China
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17
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Kumar V, Stewart JH. Immunometabolic reprogramming, another cancer hallmark. Front Immunol 2023; 14:1125874. [PMID: 37275901 PMCID: PMC10235624 DOI: 10.3389/fimmu.2023.1125874] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 05/02/2023] [Indexed: 06/07/2023] Open
Abstract
Molecular carcinogenesis is a multistep process that involves acquired abnormalities in key biological processes. The complexity of cancer pathogenesis is best illustrated in the six hallmarks of the cancer: (1) the development of self-sufficient growth signals, (2) the emergence of clones that are resistant to apoptosis, (3) resistance to the antigrowth signals, (4) neo-angiogenesis, (5) the invasion of normal tissue or spread to the distant organs, and (6) limitless replicative potential. It also appears that non-resolving inflammation leads to the dysregulation of immune cell metabolism and subsequent cancer progression. The present article delineates immunometabolic reprogramming as a critical hallmark of cancer by linking chronic inflammation and immunosuppression to cancer growth and metastasis. We propose that targeting tumor immunometabolic reprogramming will lead to the design of novel immunotherapeutic approaches to cancer.
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Affiliation(s)
- Vijay Kumar
- Department of Interdisciplinary Oncology, Stanley S. Scott Cancer Center, School of Medicine, Louisiana State University Health Science Center (LSUHSC), New Orleans, LA, United States
| | - John H. Stewart
- Department of Interdisciplinary Oncology, Stanley S. Scott Cancer Center, School of Medicine, Louisiana State University Health Science Center (LSUHSC), New Orleans, LA, United States
- Louisiana State University- Louisiana Children’s Medical Center, Stanley S. Scott, School of Medicine, Louisiana State University Health Science Center (LSUHSC), New Orleans, LA, United States
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18
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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: 3] [Impact Index Per Article: 3.0] [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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Affiliation(s)
| | | | - Shufan Zhang
- School of Biology and Basic Medical Sciences, Soochow University, Suzhou 215123, China
| | - Moli Huang
- School of Biology and Basic Medical Sciences, Soochow University, Suzhou 215123, China
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19
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Wu M, Rai K. Demystifying extrachromosomal DNA circles: Categories, biogenesis, and cancer therapeutics. Comput Struct Biotechnol J 2022; 20:6011-6022. [PMID: 36382182 PMCID: PMC9647416 DOI: 10.1016/j.csbj.2022.10.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Revised: 10/21/2022] [Accepted: 10/21/2022] [Indexed: 12/01/2022] Open
Abstract
Since the advent of sequencing technologies in the 1990s, researchers have focused on the association between aberrations in chromosomal DNA and disease. However, not all forms of the DNA are linear and chromosomal. Extrachromosomal circular DNAs (eccDNAs) are double-stranded, closed-circled DNA constructs free from the chromosome that reside in the nuclei. Although widely overlooked, the eccDNAs have recently gained attention for their potential roles in physiological response, intratumoral heterogeneity and cancer therapeutics. In this review, we summarize the history, classifications, biogenesis, and highlight recent progresses on the emerging topic of eccDNAs and comment on their potential application as biomarkers in clinical settings.
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Affiliation(s)
- Manrong Wu
- Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX, USA
- Department of Genomic Medicine, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kunal Rai
- Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX, USA
- Department of Genomic Medicine, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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