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Kaplan SJ, Wong W, Yan J, Pulecio J, Cho HS, Li Q, Zhao J, Leslie-Iyer J, Kazakov J, Murphy D, Luo R, Dey KK, Apostolou E, Leslie CS, Huangfu D. CRISPR Screening Uncovers a Long-Range Enhancer for ONECUT1 in Pancreatic Differentiation and Links a Diabetes Risk Variant. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.26.591412. [PMID: 38746154 PMCID: PMC11092487 DOI: 10.1101/2024.04.26.591412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Functional enhancer annotation is a valuable first step for understanding tissue-specific transcriptional regulation and prioritizing disease-associated non-coding variants for investigation. However, unbiased enhancer discovery in physiologically relevant contexts remains a major challenge. To discover regulatory elements pertinent to diabetes, we conducted a CRISPR interference (CRISPRi) screen in the human pluripotent stem cell (hPSC) pancreatic differentiation system. Among the enhancers uncovered, we focused on a long-range enhancer ∼664 kb from the ONECUT1 promoter, as coding mutations in ONECUT1 cause pancreatic hypoplasia and neonatal diabetes. Homozygous enhancer deletion in hPSCs was associated with a near-complete loss of ONECUT1 gene expression and compromised pancreatic differentiation. This enhancer contains a confidently fine-mapped type 2 diabetes (T2D) associated variant (rs528350911) which disrupts a GATA motif. Introduction of the risk variant into hPSCs revealed substantially reduced binding of key pancreatic transcription factors (GATA4, GATA6 and FOXA2) on the edited allele, accompanied by a slight reduction of ONECUT1 transcription, supporting a causal role for this risk variant in metabolic disease. This work expands our knowledge about transcriptional regulation in pancreatic development through the characterization of a long-range enhancer and highlights the utility of enhancer discovery in disease-relevant settings for understanding monogenic and complex disease.
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Wu Y, Chen S, Shao Y, Su Y, Li Q, Wu J, Zhu J, Wen H, Huang Y, Zheng Z, Chen X, Ju X, Huang S, Wu X, Hu Z. KLF5 Promotes Tumor Progression and Parp Inhibitor Resistance in Ovarian Cancer. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2304638. [PMID: 37702443 PMCID: PMC10625120 DOI: 10.1002/advs.202304638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 08/16/2023] [Indexed: 09/14/2023]
Abstract
One major characteristic of tumor cells is the aberrant activation of epigenetic regulatory elements, which remodel the tumor transcriptome and ultimately promote cancer progression and drug resistance. However, the oncogenic functions and mechanisms of ovarian cancer (OC) remain elusive. Here, super-enhancer (SE) regulatory elements that are aberrantly activated in OC are identified and it is found that SEs drive the relative specific expression of the transcription factor KLF5 in OC patients and poly(ADP-ribose) polymerase inhibitor (PARPi)-resistant patients. KLF5 expression is associated with poor outcomes in OC patients and can drive tumor progression in vitro and in vivo. Mechanistically, KLF5 forms a transcriptional complex with EHF and ELF3 and binds to the promoter region of RAD51 to enhance its transcription, strengthening the homologous recombination repair (HRR) pathway. Notably, the combination of suberoylanilide hydroxamic acid (SAHA) and olaparib significantly inhibits tumor growth and metastasis of PARPi-resistant OC cells with high KLF5. In conclusion, it is discovered that SEs-driven KLF5 is a key regulatory factor in OC progression and PARPi resistance; and potential therapeutic strategies for OC patients with PARPi resistance and high KLF5 are identified.
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Affiliation(s)
- Yong Wu
- Department of Gynecologic OncologyFudan University Shanghai Cancer CenterShanghai Key Laboratory of Medical EpigeneticsInternational Co‐laboratory of Medical Epigenetics and MetabolismInstitutes of Biomedical SciencesShanghai Medical CollegeFudan UniversityShanghai200032China
- Department of OncologyShanghai Medical CollegeFudan UniversityShanghaiChina
| | - Siyu Chen
- Department of Gynecologic OncologyFudan University Shanghai Cancer CenterShanghai Key Laboratory of Medical EpigeneticsInternational Co‐laboratory of Medical Epigenetics and MetabolismInstitutes of Biomedical SciencesShanghai Medical CollegeFudan UniversityShanghai200032China
- Department of OncologyShanghai Medical CollegeFudan UniversityShanghaiChina
| | - Yang Shao
- Department of Gynecologic OncologyFudan University Shanghai Cancer CenterShanghai Key Laboratory of Medical EpigeneticsInternational Co‐laboratory of Medical Epigenetics and MetabolismInstitutes of Biomedical SciencesShanghai Medical CollegeFudan UniversityShanghai200032China
- Department of OncologyShanghai Medical CollegeFudan UniversityShanghaiChina
| | - Ying Su
- Department of Gynecologic OncologyFudan University Shanghai Cancer CenterShanghai Key Laboratory of Medical EpigeneticsInternational Co‐laboratory of Medical Epigenetics and MetabolismInstitutes of Biomedical SciencesShanghai Medical CollegeFudan UniversityShanghai200032China
- Department of OncologyShanghai Medical CollegeFudan UniversityShanghaiChina
| | - Qin Li
- Department of Gynecologic OncologyFudan University Shanghai Cancer CenterShanghai Key Laboratory of Medical EpigeneticsInternational Co‐laboratory of Medical Epigenetics and MetabolismInstitutes of Biomedical SciencesShanghai Medical CollegeFudan UniversityShanghai200032China
- Department of OncologyShanghai Medical CollegeFudan UniversityShanghaiChina
| | - Jiangchun Wu
- Department of Gynecologic OncologyFudan University Shanghai Cancer CenterShanghai Key Laboratory of Medical EpigeneticsInternational Co‐laboratory of Medical Epigenetics and MetabolismInstitutes of Biomedical SciencesShanghai Medical CollegeFudan UniversityShanghai200032China
| | - Jun Zhu
- Department of Gynecologic OncologyFudan University Shanghai Cancer CenterShanghai Key Laboratory of Medical EpigeneticsInternational Co‐laboratory of Medical Epigenetics and MetabolismInstitutes of Biomedical SciencesShanghai Medical CollegeFudan UniversityShanghai200032China
| | - Hao Wen
- Department of Gynecologic OncologyFudan University Shanghai Cancer CenterShanghai Key Laboratory of Medical EpigeneticsInternational Co‐laboratory of Medical Epigenetics and MetabolismInstitutes of Biomedical SciencesShanghai Medical CollegeFudan UniversityShanghai200032China
| | - Yan Huang
- Department of Gynecologic OncologyFudan University Shanghai Cancer CenterShanghai Key Laboratory of Medical EpigeneticsInternational Co‐laboratory of Medical Epigenetics and MetabolismInstitutes of Biomedical SciencesShanghai Medical CollegeFudan UniversityShanghai200032China
| | - Zhong Zheng
- Department of Gynecologic OncologyFudan University Shanghai Cancer CenterShanghai Key Laboratory of Medical EpigeneticsInternational Co‐laboratory of Medical Epigenetics and MetabolismInstitutes of Biomedical SciencesShanghai Medical CollegeFudan UniversityShanghai200032China
| | - Xiaojun Chen
- Department of Gynecologic OncologyFudan University Shanghai Cancer CenterShanghai Key Laboratory of Medical EpigeneticsInternational Co‐laboratory of Medical Epigenetics and MetabolismInstitutes of Biomedical SciencesShanghai Medical CollegeFudan UniversityShanghai200032China
| | - Xingzhu Ju
- Department of Gynecologic OncologyFudan University Shanghai Cancer CenterShanghai Key Laboratory of Medical EpigeneticsInternational Co‐laboratory of Medical Epigenetics and MetabolismInstitutes of Biomedical SciencesShanghai Medical CollegeFudan UniversityShanghai200032China
| | - Shenglin Huang
- Department of Gynecologic OncologyFudan University Shanghai Cancer CenterShanghai Key Laboratory of Medical EpigeneticsInternational Co‐laboratory of Medical Epigenetics and MetabolismInstitutes of Biomedical SciencesShanghai Medical CollegeFudan UniversityShanghai200032China
- Department of OncologyShanghai Medical CollegeFudan UniversityShanghaiChina
| | - Xiaohua Wu
- Department of Gynecologic OncologyFudan University Shanghai Cancer CenterShanghai Key Laboratory of Medical EpigeneticsInternational Co‐laboratory of Medical Epigenetics and MetabolismInstitutes of Biomedical SciencesShanghai Medical CollegeFudan UniversityShanghai200032China
- Department of OncologyShanghai Medical CollegeFudan UniversityShanghaiChina
| | - Zhixiang Hu
- Department of Gynecologic OncologyFudan University Shanghai Cancer CenterShanghai Key Laboratory of Medical EpigeneticsInternational Co‐laboratory of Medical Epigenetics and MetabolismInstitutes of Biomedical SciencesShanghai Medical CollegeFudan UniversityShanghai200032China
- Department of OncologyShanghai Medical CollegeFudan UniversityShanghaiChina
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3
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Song C, Zhang Y, Huang H, Wang Y, Zhao X, Zhang G, Yin M, Feng C, Wang Q, Qian F, Shang D, Zhang J, Liu J, Li C, Tang H. Cis-Cardio: A comprehensive analysis platform for cardiovascular-relavant cis-regulation in human and mouse. MOLECULAR THERAPY. NUCLEIC ACIDS 2023; 33:655-667. [PMID: 37637211 PMCID: PMC10458290 DOI: 10.1016/j.omtn.2023.07.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 07/25/2023] [Indexed: 08/29/2023]
Abstract
Cis-regulatory elements are important molecular switches in controlling gene expression and are regarded as determinant hubs in the transcriptional regulatory network. Collection and processing of large-scale cis-regulatory data are urgent to decipher the potential mechanisms of cardiovascular diseases from a cis-regulatory element aspect. Here, we developed a novel web server, Cis-Cardio, which aims to document a large number of available cardiovascular-related cis-regulatory data and to provide analysis for unveiling the comprehensive mechanisms at a cis-regulation level. The current version of Cis-Cardio catalogs a total of 45,382,361 genomic regions from 1,013 human and mouse epigenetic datasets, including ATAC-seq, DNase-seq, Histone ChIP-seq, TF/TcoF ChIP-seq, RNA polymerase ChIP-seq, and Cohesin ChIP-seq. Importantly, Cis-Cardio provides six analysis tools, including region overlap analysis, element upstream/downstream analysis, transcription regulator enrichment analysis, variant interpretation, and protein-protein interaction-based co-regulatory analysis. Additionally, Cis-Cardio provides detailed and abundant (epi-) genetic annotations in cis-regulatory regions, such as super-enhancers, enhancers, transcription factor binding sites (TFBSs), methylation sites, common SNPs, risk SNPs, expression quantitative trait loci (eQTLs), motifs, DNase I hypersensitive sites (DHSs), and 3D chromatin interactions. In summary, Cis-Cardio is a valuable resource for elucidating and analyzing regulatory cues of cardiovascular-specific cis-regulatory elements. The platform is freely available at http://www.licpathway.net/Cis-Cardio/index.html.
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Affiliation(s)
- Chao Song
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan 421001, China
- School of Computer, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Department of Cardiology, Hengyang Medical School, University of South China, Hengyang, China
| | - Yuexin Zhang
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan 421001, China
- School of Computer, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Department of Cardiology, Hengyang Medical School, University of South China, Hengyang, China
| | - Hong Huang
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Department of Cardiology, Hengyang Medical School, University of South China, Hengyang, China
- Clinical Research Center for Myocardial Injury in Hunan Province, Hengyang, Hunan 421001, China
| | - Yuezhu Wang
- School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China
| | - Xilong Zhao
- School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China
| | - Guorui Zhang
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan 421001, China
| | - Mingxue Yin
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan 421001, China
| | - Chenchen Feng
- School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China
| | - Qiuyu Wang
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan 421001, China
- School of Computer, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Department of Cardiology, Hengyang Medical School, University of South China, Hengyang, China
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - Fengcui Qian
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan 421001, China
- School of Computer, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Department of Cardiology, Hengyang Medical School, University of South China, Hengyang, China
| | - Desi Shang
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan 421001, China
- School of Computer, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Department of Cardiology, Hengyang Medical School, University of South China, Hengyang, China
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - Jian Zhang
- School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China
| | - Jiaqi Liu
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan 421001, China
- School of Computer, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Department of Cardiology, Hengyang Medical School, University of South China, Hengyang, China
| | - Chunquan Li
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan 421001, China
- School of Computer, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Department of Cardiology, Hengyang Medical School, University of South China, Hengyang, China
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- National Health Commission Key Laboratory of Birth Defect Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan 410008, China
- Key Laboratory of Rare Pediatric Diseases, Ministry of Education, University of South China, Hengyang, Hunan 421001, China
| | - Huifang Tang
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan 421001, China
- School of Computer, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Department of Cardiology, Hengyang Medical School, University of South China, Hengyang, China
- Clinical Research Center for Myocardial Injury in Hunan Province, Hengyang, Hunan 421001, China
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4
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Kim H, Wisniewska K, Regner MJ, Thennavan A, Spanheimer PM, Franco HL. Single-Cell Transcriptional and Epigenetic Profiles of Male Breast Cancer Nominate Salient Cancer-Specific Enhancers. Int J Mol Sci 2023; 24:13053. [PMID: 37685859 PMCID: PMC10487538 DOI: 10.3390/ijms241713053] [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: 07/21/2023] [Revised: 08/18/2023] [Accepted: 08/19/2023] [Indexed: 09/10/2023] Open
Abstract
Male breast cancer represents about 1% of all breast cancer diagnoses and, although there are some similarities between male and female breast cancer, the paucity of data available on male breast cancer makes it difficult to establish targeted therapies. To date, most male breast cancers (MBCs) are treated according to protocols established for female breast cancer (FBC). Thus, defining the transcriptional and epigenetic landscape of MBC with improved resolution is critical for developing better avenues for therapeutic intervention. In this study, we present matched transcriptional (scRNA-seq) and epigenetic (scATAC-seq) profiles at single-cell resolution of two treatment naïve MBC tumors processed immediately after surgical resection. These data enable the detection of differentially expressed genes between male and female breast tumors across immune, stromal, and malignant cell types, to highlight several genes that may have therapeutic implications. Notably, MYC target genes and mTORC1 signaling genes were significantly upregulated in the malignant cells of MBC compared to the female counterparts. To understand how the regulatory landscape of MBC gives rise to these male-specific gene expression patterns, we leveraged the scATAC-seq data to systematically link changes in chromatin accessibility to changes in gene expression within each cell type. We observed cancer-specific rewiring of several salient enhancers and posit that these enhancers have a higher regulatory load than lineage-specific enhancers. We highlight two examples of previously unannotated cancer-cell-specific enhancers of ANXA2 and PRDX4 gene expression and show evidence for super-enhancer regulation of LAMB3 and CD47 in male breast cancer cells. Overall, this dataset annotates clinically relevant regulatory networks in male breast tumors, providing a useful resource that expands our current understanding of the gene expression programs that underlie the biology of MBC.
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Affiliation(s)
- Hyunsoo Kim
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Kamila Wisniewska
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Matthew J. Regner
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Bioinformatics and Computational Biology Graduate Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Aatish Thennavan
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Oral and Craniofacial Biomedicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Philip M. Spanheimer
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Division of Surgical Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Hector L. Franco
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Bioinformatics and Computational Biology Graduate Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
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5
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Ye J, Cai S, Feng Y, Li J, Cai Z, Deng Y, Liu R, Zhu X, Lu J, Zhuo Y, Liang Y, Xie J, Zhang Y, He H, Han Z, Jia Z, Zhong W. Metformin escape in prostate cancer by activating the PTGR1 transcriptional program through a novel super-enhancer. Signal Transduct Target Ther 2023; 8:303. [PMID: 37582751 PMCID: PMC10427640 DOI: 10.1038/s41392-023-01516-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 05/25/2023] [Accepted: 05/30/2023] [Indexed: 08/17/2023] Open
Abstract
The therapeutic efficacy of metformin in prostate cancer (PCa) appears uncertain based on various clinical trials. Metformin treatment failure may be attributed to the high frequency of transcriptional dysregulation, which leads to drug resistance. However, the underlying mechanism is still unclear. In this study, we found evidences that metformin resistance in PCa cells may be linked to cell cycle reactivation. Super-enhancers (SEs), crucial regulatory elements, have been shown to be associated with drug resistance in various cancers. Our analysis of SEs in metformin-resistant (MetR) PCa cells revealed a correlation with Prostaglandin Reductase 1 (PTGR1) expression, which was identified as significantly increased in a cluster of cells with metformin resistance through single-cell transcriptome sequencing. Our functional experiments showed that PTGR1 overexpression accelerated cell cycle progression by promoting progression from the G0/G1 to the S and G2/M phases, resulting in reduced sensitivity to metformin. Additionally, we identified key transcription factors that significantly increase PTGR1 expression, such as SRF and RUNX3, providing potential new targets to address metformin resistance in PCa. In conclusion, our study sheds new light on the cellular mechanism underlying metformin resistance and the regulation of the SE-TFs-PTGR1 axis, offering potential avenues to enhance metformin's therapeutic efficacy in PCa.
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Affiliation(s)
- Jianheng Ye
- Department of Urology, Guangzhou First People's Hospital, South China University of Technology, 510180, Guangzhou, Guangdong, China
| | - Shanghua Cai
- Department of Urology, Guangzhou First People's Hospital, South China University of Technology, 510180, Guangzhou, Guangdong, China
- Urology Key Laboratory of Guangdong Province, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, 510230, Guangzhou, Guangdong, China
- Guangzhou National Laboratory, No. 9 XingDaoHuanBei Road, Guangzhou International Bio Island, 510005, Guangzhou, Guangdong, China
| | - Yuanfa Feng
- Department of Urology, Guangzhou First People's Hospital, South China University of Technology, 510180, Guangzhou, Guangdong, China
- Urology Key Laboratory of Guangdong Province, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, 510230, Guangzhou, Guangdong, China
| | - Jinchuang Li
- Department of Urology, Guangzhou First People's Hospital, South China University of Technology, 510180, Guangzhou, Guangdong, China
| | - Zhiduan Cai
- Department of Urology, Guangzhou First People's Hospital, South China University of Technology, 510180, Guangzhou, Guangdong, China
| | - Yulin Deng
- Urology Key Laboratory of Guangdong Province, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, 510230, Guangzhou, Guangdong, China
| | - Ren Liu
- Department of Urology, Guangzhou First People's Hospital, South China University of Technology, 510180, Guangzhou, Guangdong, China
| | - Xuejin Zhu
- Department of Urology, Guangzhou First People's Hospital, South China University of Technology, 510180, Guangzhou, Guangdong, China
| | - Jianming Lu
- Department of Urology, Guangzhou First People's Hospital, South China University of Technology, 510180, Guangzhou, Guangdong, China
| | - Yangjia Zhuo
- Department of Urology, Guangzhou First People's Hospital, South China University of Technology, 510180, Guangzhou, Guangdong, China
| | - Yingke Liang
- Department of Urology, Guangzhou First People's Hospital, South China University of Technology, 510180, Guangzhou, Guangdong, China
| | - Jianjiang Xie
- Department of Urology, Guangzhou First People's Hospital, South China University of Technology, 510180, Guangzhou, Guangdong, China
| | - Yanqiong Zhang
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, 100700, Beijing, China
| | - Huichan He
- Urology Key Laboratory of Guangdong Province, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, 510230, Guangzhou, Guangdong, China
| | - Zhaodong Han
- Department of Urology, Guangzhou First People's Hospital, South China University of Technology, 510180, Guangzhou, Guangdong, China.
| | - Zhenyu Jia
- Department of Botany and Plant Sciences, University of California, Riverside, CA, 92507, USA.
- Graduate Program in Genetics, Genomics & Bioinformatics, University of California, Riverside, CA, 92507, USA.
| | - Weide Zhong
- Department of Urology, Guangzhou First People's Hospital, South China University of Technology, 510180, Guangzhou, Guangdong, China.
- Urology Key Laboratory of Guangdong Province, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, 510230, Guangzhou, Guangdong, China.
- Guangzhou National Laboratory, No. 9 XingDaoHuanBei Road, Guangzhou International Bio Island, 510005, Guangzhou, Guangdong, China.
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Taipa, 999078, Macau, China.
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6
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Talbot T, Lu H, Aboagye EO. Amplified therapeutic targets in high-grade serous ovarian carcinoma - a review of the literature with quantitative appraisal. Cancer Gene Ther 2023; 30:955-963. [PMID: 36804485 PMCID: PMC9940086 DOI: 10.1038/s41417-023-00589-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 01/05/2023] [Accepted: 01/17/2023] [Indexed: 02/22/2023]
Abstract
High-grade serous ovarian carcinoma is a unique cancer characterised by universal TP53 mutations and widespread copy number alterations. These copy number alterations include deletion of tumour suppressors and amplification of driver oncogenes. Given their key oncogenic roles, amplified driver genes are often proposed as therapeutic targets. For example, development of anti-HER2 agents has been clinically successful in treatment of ERBB2-amplified tumours. A wide scope of preclinical work has since investigated numerous amplified genes as potential therapeutic targets in high-grade serous ovarian carcinoma. However, variable experimental procedures (e.g., choice of cell lines), ambiguous phenotypes or lack of validation hinders further clinical translation of many targets. In this review, we collate the genes proposed to be amplified therapeutic targets in high-grade serous ovarian carcinoma, and quantitatively appraise the evidence in support of each candidate gene. Forty-four genes are found to have evidence as amplified therapeutic targets; the five highest scoring genes are CCNE1, PAX8, URI1, PRKCI and FAL1. This review generates an up-to-date list of amplified therapeutic target candidates for further development and proposes comprehensive criteria to assist amplified therapeutic target discovery in the future.
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Affiliation(s)
- Thomas Talbot
- Department of Surgery & Cancer, Imperial College London, Hammersmith Hospital, Du Cane Road, W120NN, London, UK
| | - Haonan Lu
- Department of Surgery & Cancer, Imperial College London, Hammersmith Hospital, Du Cane Road, W120NN, London, UK
| | - Eric O Aboagye
- Department of Surgery & Cancer, Imperial College London, Hammersmith Hospital, Du Cane Road, W120NN, London, UK.
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Kravchuk EV, Ashniev GA, Gladkova MG, Orlov AV, Vasileva AV, Boldyreva AV, Burenin AG, Skirda AM, Nikitin PI, Orlova NN. Experimental Validation and Prediction of Super-Enhancers: Advances and Challenges. Cells 2023; 12:cells12081191. [PMID: 37190100 DOI: 10.3390/cells12081191] [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: 03/07/2023] [Revised: 04/07/2023] [Accepted: 04/14/2023] [Indexed: 05/17/2023] Open
Abstract
Super-enhancers (SEs) are cis-regulatory elements of the human genome that have been widely discussed since the discovery and origin of the term. Super-enhancers have been shown to be strongly associated with the expression of genes crucial for cell differentiation, cell stability maintenance, and tumorigenesis. Our goal was to systematize research studies dedicated to the investigation of structure and functions of super-enhancers as well as to define further perspectives of the field in various applications, such as drug development and clinical use. We overviewed the fundamental studies which provided experimental data on various pathologies and their associations with particular super-enhancers. The analysis of mainstream approaches for SE search and prediction allowed us to accumulate existing data and propose directions for further algorithmic improvements of SEs' reliability levels and efficiency. Thus, here we provide the description of the most robust algorithms such as ROSE, imPROSE, and DEEPSEN and suggest their further use for various research and development tasks. The most promising research direction, which is based on topic and number of published studies, are cancer-associated super-enhancers and prospective SE-targeted therapy strategies, most of which are discussed in this review.
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Affiliation(s)
- Ekaterina V Kravchuk
- Prokhorov General Physics Institute of the Russian Academy of Sciences, 38 Vavilov St., 119991 Moscow, Russia
- Faculty of Biology, Lomonosov Moscow State University, Leninskiye Gory, MSU, 1-12, 119991 Moscow, Russia
| | - German A Ashniev
- Prokhorov General Physics Institute of the Russian Academy of Sciences, 38 Vavilov St., 119991 Moscow, Russia
- Faculty of Biology, Lomonosov Moscow State University, Leninskiye Gory, MSU, 1-12, 119991 Moscow, Russia
- Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, GSP-1, Leninskiye Gory, MSU, 1-73, 119234 Moscow, Russia
| | - Marina G Gladkova
- Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, GSP-1, Leninskiye Gory, MSU, 1-73, 119234 Moscow, Russia
| | - Alexey V Orlov
- Prokhorov General Physics Institute of the Russian Academy of Sciences, 38 Vavilov St., 119991 Moscow, Russia
| | - Anastasiia V Vasileva
- Prokhorov General Physics Institute of the Russian Academy of Sciences, 38 Vavilov St., 119991 Moscow, Russia
| | - Anna V Boldyreva
- Prokhorov General Physics Institute of the Russian Academy of Sciences, 38 Vavilov St., 119991 Moscow, Russia
| | - Alexandr G Burenin
- Prokhorov General Physics Institute of the Russian Academy of Sciences, 38 Vavilov St., 119991 Moscow, Russia
| | - Artemiy M Skirda
- Prokhorov General Physics Institute of the Russian Academy of Sciences, 38 Vavilov St., 119991 Moscow, Russia
| | - Petr I Nikitin
- Prokhorov General Physics Institute of the Russian Academy of Sciences, 38 Vavilov St., 119991 Moscow, Russia
| | - Natalia N Orlova
- Prokhorov General Physics Institute of the Russian Academy of Sciences, 38 Vavilov St., 119991 Moscow, Russia
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Di Giorgio E, Benetti R, Kerschbamer E, Xodo L, Brancolini C. Super-enhancer landscape rewiring in cancer: The epigenetic control at distal sites. INTERNATIONAL REVIEW OF CELL AND MOLECULAR BIOLOGY 2023; 380:97-148. [PMID: 37657861 DOI: 10.1016/bs.ircmb.2023.03.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/03/2023]
Abstract
Super-enhancers evolve as elements at the top of the hierarchical control of gene expression. They are important end-gatherers of signaling pathways that control stemness, differentiation or adaptive responses. Many epigenetic regulations focus on these regions, and not surprisingly, during the process of tumorigenesis, various alterations can account for their dysfunction. Super-enhancers are emerging as key drivers of the aberrant gene expression landscape that sustain the aggressiveness of cancer cells. In this review, we will describe and discuss about the structure of super-enhancers, their epigenetic regulation, and the major changes affecting their functionality in cancer.
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Affiliation(s)
- Eros Di Giorgio
- Laboratory of Biochemistry, Department of Medicine, Università degli Studi di Udine, Udine, Italy
| | - Roberta Benetti
- Laboratory of Epigenomics, Department of Medicine, Università degli Studi di Udine, Udine, Italy
| | - Emanuela Kerschbamer
- Laboratory of Epigenomics, Department of Medicine, Università degli Studi di Udine, Udine, Italy
| | - Luigi Xodo
- Laboratory of Biochemistry, Department of Medicine, Università degli Studi di Udine, Udine, Italy
| | - Claudio Brancolini
- Laboratory of Epigenomics, Department of Medicine, Università degli Studi di Udine, Udine, Italy.
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Berkel C, Cacan E. Super-Enhancer-Driven RAE1 Shows Higher Protein Levels in Tumor Compared to Adjacent Nonmalignant Stroma in High-Grade Serous Ovarian Cancer Patients. Reprod Sci 2023:10.1007/s43032-023-01199-8. [PMID: 36810690 DOI: 10.1007/s43032-023-01199-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Accepted: 02/08/2023] [Indexed: 02/23/2023]
Affiliation(s)
- Caglar Berkel
- Department of Molecular Biology and Genetics, Tokat Gaziosmanpasa University, Tokat, Turkey.
| | - Ercan Cacan
- Department of Molecular Biology and Genetics, Tokat Gaziosmanpasa University, Tokat, Turkey.
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Cheng H, Shang D, Zhou R. Germline stem cells in human. Signal Transduct Target Ther 2022; 7:345. [PMID: 36184610 PMCID: PMC9527259 DOI: 10.1038/s41392-022-01197-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 09/06/2022] [Accepted: 09/14/2022] [Indexed: 12/02/2022] Open
Abstract
The germline cells are essential for the propagation of human beings, thus essential for the survival of mankind. The germline stem cells, as a unique cell type, generate various states of germ stem cells and then differentiate into specialized cells, spermatozoa and ova, for producing offspring, while self-renew to generate more stem cells. Abnormal development of germline stem cells often causes severe diseases in humans, including infertility and cancer. Primordial germ cells (PGCs) first emerge during early embryonic development, migrate into the gentile ridge, and then join in the formation of gonads. In males, they differentiate into spermatogonial stem cells, which give rise to spermatozoa via meiosis from the onset of puberty, while in females, the female germline stem cells (FGSCs) retain stemness in the ovary and initiate meiosis to generate oocytes. Primordial germ cell-like cells (PGCLCs) can be induced in vitro from embryonic stem cells or induced pluripotent stem cells. In this review, we focus on current advances in these embryonic and adult germline stem cells, and the induced PGCLCs in humans, provide an overview of molecular mechanisms underlying the development and differentiation of the germline stem cells and outline their physiological functions, pathological implications, and clinical applications.
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Affiliation(s)
- Hanhua Cheng
- Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Renmin Hospital of Wuhan University, Wuhan University, 430072, Wuhan, China.
| | - Dantong Shang
- Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Renmin Hospital of Wuhan University, Wuhan University, 430072, Wuhan, China
| | - Rongjia Zhou
- Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Renmin Hospital of Wuhan University, Wuhan University, 430072, Wuhan, China.
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