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Lu Z, Xu L, Wang X. BIT: Bayesian Identification of Transcriptional Regulators. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.02.597061. [PMID: 38895220 PMCID: PMC11185535 DOI: 10.1101/2024.06.02.597061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
BIT is a novel Bayesian hierarchical model capable of predicting transcriptional regulators (TRs) from the input of user-provided epigenomic regions. TRs are critical molecules in transcriptional regulation. Many diseases and cancers are linked to the dysfunction of TRs. Knowing TRs in certain biological process can help find new biomarkers or therapeutic targets. Thus, BIT formulates a novel Bayesian hierarchical model with the Pólya-gamma data augmentation strategy. Based on collected ChIP-seq datasets, BIT can identify TRs responsible for the genome-wide binding pattern within the user-provided epigenomic regions. BIT has been validated by using a simulation study and three applications.
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Affiliation(s)
- Zeyu Lu
- Department of Statistics and Data science, Moody School of Graduate and Advanced Studies, Southern Methodist University, Dallas, TX, USA
| | - Lin Xu
- Quantitative Biomedical Research Center, Peter O’Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Department of Pediatrics, Division of Hematology/Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Xinlei Wang
- Department of Mathematics, University of Texas at Arlington, Arlington, TX 76019, USA
- Center for Data Science Research and Education, College of Science, University of Texas at Arlington, Arlington, TX 76019, USA
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2
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Böttcher J, Fuchs JE, Mayer M, Kahmann J, Zak KM, Wunberg T, Woehrle S, Kessler D. Ligandability assessment of the C-terminal Rel-homology domain of NFAT1. Arch Pharm (Weinheim) 2024; 357:e2300649. [PMID: 38396281 DOI: 10.1002/ardp.202300649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 02/01/2024] [Accepted: 02/02/2024] [Indexed: 02/25/2024]
Abstract
Transcription factors are generally considered challenging, if not "undruggable", targets but they promise new therapeutic options due to their fundamental involvement in many diseases. In this study, we aim to assess the ligandability of the C-terminal Rel-homology domain of nuclear factor of activated T cells 1 (NFAT1), a TF implicated in T-cell regulation. Using a combination of experimental and computational approaches, we demonstrate that small molecule fragments can indeed bind to this protein domain. The newly identified binder is the first small molecule binder to NFAT1 validated with biophysical methods and an elucidated binding mode by X-ray crystallography. The reported eutomer/distomer pair provides a strong basis for potential exploration of higher potency binders on the path toward degrader or glue modalities.
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Affiliation(s)
- Jark Böttcher
- Boehringer Ingelheim RCV GmbH & Co KG, Vienna, Austria
| | | | - Moriz Mayer
- Boehringer Ingelheim RCV GmbH & Co KG, Vienna, Austria
| | | | | | | | - Simon Woehrle
- Boehringer Ingelheim RCV GmbH & Co KG, Vienna, Austria
| | - Dirk Kessler
- Boehringer Ingelheim RCV GmbH & Co KG, Vienna, Austria
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3
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Toure MA, Motoyama K, Xiang Y, Urgiles J, Kabinger F, Koglin AS, Iyer RS, Gagnon K, Kumar A, Ojeda S, Harrison DA, Rees MG, Roth JA, Ott CJ, Schiavoni R, Whittaker CA, Levine SS, White FM, Calo E, Richters A, Koehler AN. Targeted Degradation of CDK9 Potently Disrupts the MYC Transcriptional Network. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.14.593352. [PMID: 38952800 PMCID: PMC11216368 DOI: 10.1101/2024.05.14.593352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/03/2024]
Abstract
Cyclin-dependent kinase 9 (CDK9) coordinates signaling events that regulate RNA polymerase II (Pol II) pause-release states. It is an important co-factor for transcription factors, such as MYC, that drive aberrant cell proliferation when their expression is deregulated. CDK9 modulation offers an approach for attenuating dysregulation in such transcriptional programs. As a result, numerous drug development campaigns to inhibit CDK9 kinase activity have been pursued. More recently, targeted degradation has emerged as an attractive approach. However, comprehensive evaluation of degradation versus inhibition is still critically needed to assess the biological contexts in which degradation might offer superior therapeutic benefits. We validated that CDK9 inhibition triggers a compensatory mechanism that dampens its effect on MYC expression and found that this feedback mechanism was absent when the kinase is degraded. Importantly, CDK9 degradation is more effective than its inhibition for disrupting MYC transcriptional regulatory circuitry likely through the abrogation of both enzymatic and scaffolding functions of CDK9. Highlights - KI-CDK9d-32 is a highly potent and selective CDK9 degrader. - KI-CDK9d-32 leads to rapid downregulation of MYC protein and mRNA transcripts levels. - KI-CDK9d-32 represses canonical MYC pathways and leads to a destabilization of nucleolar homeostasis. - Multidrug resistance ABCB1 gene emerged as the strongest resistance marker for the CDK9 PROTAC degrader.
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Dai A, Zhang X, Wang X, Liu G, Wang Q, Yu F. Transcription factors in chimeric antigen receptor T-cell development. Hum Cell 2024; 37:571-581. [PMID: 38436882 DOI: 10.1007/s13577-024-01040-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 01/30/2024] [Indexed: 03/05/2024]
Abstract
Chimeric antigen receptor (CAR) T-cell therapy is a new and innovative approach to treating cancers that has shown promising results in the treatment of lymphoma. However, it has been found to be less effective in the treatment of solid tumors. To overcome the limitation, researchers have explored the use of combined CAR-T therapy with other complementary regimens that target specific genes or biomarkers, which would enhance the synergistic therapeutic effects. Transcription factors (TFs) have been identified as potential markers that can regulate gene expression in CAR-T cells to enhance their cytotoxicity and safety. TFs are known to bind DNA specifically and recruit cofactor proteins to regulate the expression of target genes. By targeting TFs, it is possible to improve the anti-tumor response of CAR-T cells by altering their phenotype and transcriptional map, thereby increasing their effector function, such as reducing the exhaustion, enhancing the survival, and cytotoxicity of CAR-T cells. This review summarizes the application of transcription factors in CART therapy to enhance the synergistic therapeutic effect of CAR-T cells in the treatment of solid tumors and improve their anti-tumor responses.
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Affiliation(s)
- Anran Dai
- School of Life Sciences, Jiangsu University, Zhenjiang, 212013, China
| | - Xiangzhi Zhang
- School of Life Sciences, Jiangsu University, Zhenjiang, 212013, China
| | - Xiaoyan Wang
- Department of Gastroenterology, Suqian First People's Hospital, Suqian, 223800, Jiangsu, China
| | - Guodong Liu
- Department of General Surgery, Suqian First People's Hospital, Suqian, 223800, Jiangsu, China
| | - Qiang Wang
- School of Life Sciences, Jiangsu University, Zhenjiang, 212013, China
| | - Feng Yu
- School of Life Sciences, Jiangsu University, Zhenjiang, 212013, China.
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5
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Zhuo R, Zhang Z, Chen Y, Li G, Du S, Guo X, Yang R, Tao Y, Li X, Fang F, Xie Y, Wu D, Yang Y, Yang C, Yin H, Qian G, Wang H, Yu J, Jia S, Zhu F, Feng C, Wang J, Xu Y, Li Z, Shi L, Wang X, Pan J, Wang J. CDK5RAP3 is a novel super-enhancer-driven gene activated by master TFs and regulates ER-Phagy in neuroblastoma. Cancer Lett 2024; 591:216882. [PMID: 38636893 DOI: 10.1016/j.canlet.2024.216882] [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: 09/14/2023] [Revised: 03/30/2024] [Accepted: 04/10/2024] [Indexed: 04/20/2024]
Abstract
Super enhancers (SEs) are genomic regions comprising multiple closely spaced enhancers, typically occupied by a high density of cell-type-specific master transcription factors (TFs) and frequently enriched in key oncogenes in various tumors, including neuroblastoma (NB), one of the most prevalent malignant solid tumors in children originating from the neural crest. Cyclin-dependent kinase 5 regulatory subunit-associated protein 3 (CDK5RAP3) is a newly identified super-enhancer-driven gene regulated by master TFs in NB; however, its function in NB remains unclear. Through an integrated study of publicly available datasets and microarrays, we observed a significantly elevated CDK5RAP3 expression level in NB, associated with poor patient prognosis. Further research demonstrated that CDK5RAP3 promotes the growth of NB cells, both in vitro and in vivo. Mechanistically, defective CDK5RAP3 interfered with the UFMylation system, thereby triggering endoplasmic reticulum (ER) phagy. Additionally, we provide evidence that CDK5RAP3 maintains the stability of MEIS2, a master TF in NB, and in turn, contributes to the high expression of CDK5RAP3. Overall, our findings shed light on the molecular mechanisms by which CDK5RAP3 promotes tumor progression and suggest that its inhibition may represent a novel therapeutic strategy for NB.
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Affiliation(s)
- Ran Zhuo
- Institute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215003, China; Department of Pediatric Surgery, Children's Hospital of Soochow University, Suzhou, Jiangsu, 215025, China
| | - Zimu Zhang
- Institute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215003, China
| | - Yanling Chen
- Institute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215003, China
| | - Gen Li
- Institute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215003, China
| | - Shibei Du
- Institute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215003, China
| | - Xinyi Guo
- Department of Infection Management, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215000, China
| | - Randong Yang
- Institute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215003, China; Department of Pediatric Surgery, Children's Hospital of Soochow University, Suzhou, Jiangsu, 215025, China
| | - Yanfang Tao
- Institute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215003, China
| | - Xiaolu Li
- Institute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215003, China
| | - Fang Fang
- Institute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215003, China
| | - Yi Xie
- Institute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215003, China
| | - Di Wu
- Institute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215003, China
| | - Yang Yang
- Institute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215003, China
| | - Chun Yang
- Institute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215003, China
| | - Hongli Yin
- Institute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215003, China
| | - Guanghui Qian
- Institute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215003, China
| | - Hairong Wang
- Institute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215003, China
| | - Juanjuan Yu
- Institute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215003, China
| | - Siqi Jia
- Institute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215003, China
| | - Frank Zhu
- Division of Hematology, Department of Internal Medicine, The Ohio State University, China
| | - Chenxi Feng
- Institute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215003, China
| | - Jianwei Wang
- Institute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215003, China
| | - Yunyun Xu
- Institute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215003, China
| | - Zhiheng Li
- Institute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215003, China
| | - Lei Shi
- Department of Medicinal Chemistry, Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, China
| | - Xiaodong Wang
- Department of Pediatric Surgery, Children's Hospital of Soochow University, Suzhou, Jiangsu, 215025, China
| | - Jian Pan
- Institute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215003, China.
| | - Jian Wang
- Institute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215003, China; Department of Pediatric Surgery, Children's Hospital of Soochow University, Suzhou, Jiangsu, 215025, China.
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6
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Cermakova K, Tao L, Dejmek M, Sala M, Montierth MD, Chan YS, Patel I, Chambers C, Loeza Cabrera M, Hoffman D, Parchem RJ, Wang W, Nencka R, Barbieri E, Hodges HC. Reactivation of the G1 enhancer landscape underlies core circuitry addiction to SWI/SNF. Nucleic Acids Res 2024; 52:4-21. [PMID: 37993417 PMCID: PMC10783513 DOI: 10.1093/nar/gkad1081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 09/29/2023] [Accepted: 10/27/2023] [Indexed: 11/24/2023] Open
Abstract
Several cancer core regulatory circuitries (CRCs) depend on the sustained generation of DNA accessibility by SWI/SNF chromatin remodelers. However, the window when SWI/SNF is acutely essential in these settings has not been identified. Here we used neuroblastoma (NB) cells to model and dissect the relationship between cell-cycle progression and SWI/SNF ATPase activity. We find that SWI/SNF inactivation impairs coordinated occupancy of non-pioneer CRC members at enhancers within 1 hour, rapidly breaking their autoregulation. By precisely timing inhibitor treatment following synchronization, we show that SWI/SNF is dispensable for survival in S and G2/M, but becomes acutely essential only during G1 phase. We furthermore developed a new approach to analyze the oscillating patterns of genome-wide DNA accessibility across the cell cycle, which revealed that SWI/SNF-dependent CRC binding sites are enriched at enhancers with peak accessibility during G1 phase, where they activate genes involved in cell-cycle progression. SWI/SNF inhibition strongly impairs G1-S transition and potentiates the ability of retinoids used clinically to induce cell-cycle exit. Similar cell-cycle effects in diverse SWI/SNF-addicted settings highlight G1-S transition as a common cause of SWI/SNF dependency. Our results illustrate that deeper knowledge of the temporal patterns of enhancer-related dependencies may aid the rational targeting of addicted cancers.
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Affiliation(s)
- Katerina Cermakova
- Department of Molecular and Cellular Biology, and Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, USA
| | - Ling Tao
- Department of Pediatrics, Section of Hematology-Oncology, Texas Children's Cancer and Hematology Center, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Milan Dejmek
- Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Prague, Czech Republic
| | - Michal Sala
- Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Prague, Czech Republic
| | - Matthew D Montierth
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX, USA
| | - Yuen San Chan
- Department of Molecular and Cellular Biology, and Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, USA
| | - Ivanshi Patel
- Stem Cells and Regenerative Medicine Center, Center for Cell and Gene Therapy, and Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
- Program in Developmental Biology, Baylor College of Medicine, Houston, TX, USA
| | - Courtney Chambers
- Department of Molecular and Cellular Biology, and Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, USA
- Translational Biology and Molecular Medicine Graduate Program, Houston, TX, USA
| | - Mario Loeza Cabrera
- Department of Molecular and Cellular Biology, and Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, USA
- Development, Disease Models and Therapeutics Graduate Program, Baylor College of Medicine, Houston, TX, USA
| | - Dane Hoffman
- Department of Molecular and Cellular Biology, and Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, USA
- Cancer and Cell Biology Graduate Program, Baylor College of Medicine, Houston, TX, USA
| | - Ronald J Parchem
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
- Stem Cells and Regenerative Medicine Center, Center for Cell and Gene Therapy, and Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
| | - Wenyi Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Radim Nencka
- Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Prague, Czech Republic
| | - Eveline Barbieri
- Department of Pediatrics, Section of Hematology-Oncology, Texas Children's Cancer and Hematology Center, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - H Courtney Hodges
- Department of Molecular and Cellular Biology, and Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
- Department of Bioengineering, Rice University, Houston, TX, USA
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7
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Das ND, Chang JC, Hon CC, Kelly ST, Ito S, Lizio M, Kaczkowski B, Watanabe H, Katsushima K, Natsume A, Koseki H, Kondo Y, Minoda A, Umehara T. Defining super-enhancers by highly ranked histone H4 multi-acetylation levels identifies transcription factors associated with glioblastoma stem-like properties. BMC Genomics 2023; 24:574. [PMID: 37759202 PMCID: PMC10523799 DOI: 10.1186/s12864-023-09659-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 09/07/2023] [Indexed: 09/29/2023] Open
Abstract
BACKGROUND Super-enhancers (SEs), which activate genes involved in cell-type specificity, have mainly been defined as genomic regions with top-ranked enrichment(s) of histone H3 with acetylated K27 (H3K27ac) and/or transcription coactivator(s) including a bromodomain and extra-terminal domain (BET) family protein, BRD4. However, BRD4 preferentially binds to multi-acetylated histone H4, typically with acetylated K5 and K8 (H4K5acK8ac), leading us to hypothesize that SEs should be defined by high H4K5acK8ac enrichment at least as well as by that of H3K27ac. RESULTS Here, we conducted genome-wide profiling of H4K5acK8ac and H3K27ac, BRD4 binding, and the transcriptome by using a BET inhibitor, JQ1, in three human glial cell lines. When SEs were defined as having the top ranks for H4K5acK8ac or H3K27ac signal, 43% of H4K5acK8ac-ranked SEs were distinct from H3K27ac-ranked SEs in a glioblastoma stem-like cell (GSC) line. CRISPR-Cas9-mediated deletion of the H4K5acK8ac-preferred SEs associated with MYCN and NFIC decreased the stem-like properties in GSCs. CONCLUSIONS Collectively, our data highlights H4K5acK8ac's utility for identifying genes regulating cell-type specificity.
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Affiliation(s)
- Nando D Das
- Laboratory for Epigenetics Drug Discovery, RIKEN Center for Biosystems Dynamics Research, Yokohama, Japan
| | - Jen-Chien Chang
- Laboratory for Cellular Epigenomics, RIKEN Center for Integrative Medical Sciences (IMS), Yokohama, Japan
| | - Chung-Chau Hon
- Laboratory for Genome Information Analysis, RIKEN IMS, Yokohama, Japan
| | - S Thomas Kelly
- Laboratory for Cellular Epigenomics, RIKEN Center for Integrative Medical Sciences (IMS), Yokohama, Japan
| | - Shinsuke Ito
- Laboratory of Developmental Genetics, RIKEN IMS, Yokohama, Japan
| | - Marina Lizio
- Laboratory for Genome Information Analysis, RIKEN IMS, Yokohama, Japan
| | - Bogumil Kaczkowski
- Laboratory for Applied Regulatory Genomics Network Analysis, RIKEN IMS, Yokohama, Japan
| | - Hisami Watanabe
- Laboratory for Epigenetics Drug Discovery, RIKEN Center for Biosystems Dynamics Research, Yokohama, Japan
| | - Keisuke Katsushima
- Division of Cancer Biology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Atsushi Natsume
- Department of Neurosurgery, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Haruhiko Koseki
- Laboratory of Developmental Genetics, RIKEN IMS, Yokohama, Japan
- Immune Regulation, Advanced Research Departments, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Yutaka Kondo
- Division of Cancer Biology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Aki Minoda
- Laboratory for Cellular Epigenomics, RIKEN Center for Integrative Medical Sciences (IMS), Yokohama, Japan
- Department of Cell Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Radboud University, Nijmegen, Netherlands
| | - Takashi Umehara
- Laboratory for Epigenetics Drug Discovery, RIKEN Center for Biosystems Dynamics Research, Yokohama, Japan.
- PRESTO, Japan Science and Technology Agency, Kawaguchi, Saitama, Japan.
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8
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Wang M, Chen Q, Wang S, Xie H, Liu J, Huang R, Xiang Y, Jiang Y, Tian D, Bian E. Super-enhancers complexes zoom in transcription in cancer. J Exp Clin Cancer Res 2023; 42:183. [PMID: 37501079 PMCID: PMC10375641 DOI: 10.1186/s13046-023-02763-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 07/13/2023] [Indexed: 07/29/2023] Open
Abstract
Super-enhancers (SEs) consist of multiple typical enhancers enriched at high density with transcription factors, histone-modifying enzymes and cofactors. Oncogenic SEs promote tumorigenesis and malignancy by altering protein-coding gene expression and noncoding regulatory element function. Therefore, they play central roles in the treatment of cancer. Here, we review the structural characteristics, organization, identification, and functions of SEs and the underlying molecular mechanism by which SEs drive oncogenic transcription in tumor cells. We then summarize abnormal SE complexes, SE-driven coding genes, and noncoding RNAs involved in tumor development. In summary, we believe that SEs show great potential as biomarkers and therapeutic targets.
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Affiliation(s)
- MengTing Wang
- Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, 678 Fu Rong Road, Hefei, 230601, Anhui Province, China
- Institute of Orthopaedics, Research Center for Translational Medicine, The Second Hospital of Anhui Medical University, Anhui Medical University, Hefei, 230601, China
- School of Pharmacy, Anhui Medical University, Hefei, 230032, China
| | - QingYang Chen
- Department of Clinical MedicineThe Second School of Clinical Medical, Anhui Medical University, Hefei, China
| | - ShuJie Wang
- Department of Clinical MedicineThe Second School of Clinical Medical, Anhui Medical University, Hefei, China
| | - Han Xie
- Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, 678 Fu Rong Road, Hefei, 230601, Anhui Province, China
- Institute of Orthopaedics, Research Center for Translational Medicine, The Second Hospital of Anhui Medical University, Anhui Medical University, Hefei, 230601, China
| | - Jun Liu
- Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, 678 Fu Rong Road, Hefei, 230601, Anhui Province, China
- Institute of Orthopaedics, Research Center for Translational Medicine, The Second Hospital of Anhui Medical University, Anhui Medical University, Hefei, 230601, China
| | - RuiXiang Huang
- Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, 678 Fu Rong Road, Hefei, 230601, Anhui Province, China
- Institute of Orthopaedics, Research Center for Translational Medicine, The Second Hospital of Anhui Medical University, Anhui Medical University, Hefei, 230601, China
| | - YuFei Xiang
- Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, 678 Fu Rong Road, Hefei, 230601, Anhui Province, China
- Institute of Orthopaedics, Research Center for Translational Medicine, The Second Hospital of Anhui Medical University, Anhui Medical University, Hefei, 230601, China
| | - YanYi Jiang
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China.
- Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei, 230031, China.
| | - DaSheng Tian
- Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, 678 Fu Rong Road, Hefei, 230601, Anhui Province, China.
- Institute of Orthopaedics, Research Center for Translational Medicine, The Second Hospital of Anhui Medical University, Anhui Medical University, Hefei, 230601, China.
| | - ErBao Bian
- Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, 678 Fu Rong Road, Hefei, 230601, Anhui Province, China.
- Institute of Orthopaedics, Research Center for Translational Medicine, The Second Hospital of Anhui Medical University, Anhui Medical University, Hefei, 230601, China.
- School of Pharmacy, Anhui Medical University, Hefei, 230032, China.
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9
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Kim YI, Tseng YC, Ayaz G, Wang S, Yan H, du Bois W, Yang H, Zhen T, Lee MP, Liu P, Kaplan RN, Huang J. SOX9 is a key component of RUNX2-regulated transcriptional circuitry in osteosarcoma. Cell Biosci 2023; 13:136. [PMID: 37491298 PMCID: PMC10367263 DOI: 10.1186/s13578-023-01088-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 07/18/2023] [Indexed: 07/27/2023] Open
Abstract
BACKGROUND The absence of prominent, actionable genetic alternations in osteosarcomas (OS) implies that transcriptional and epigenetic mechanisms significantly contribute to the progression of this life-threatening form of cancer. Therefore, the identification of potential transcriptional events that promote the survival of OS cells could be key in devising targeted therapeutic approaches for OS. We have previously shown that RUNX2 is a transcription factor (TF) essential for OS cell survival. Unfortunately, the transcriptional network or circuitry regulated by RUNX2 in OS cells is still largely unknown. METHODS The TFs that are in the RUNX2 transcriptional circuitry were identified by analyzing RNAseq and ChIPseq datasets of RUNX2. To evaluate the effect of SOX9 knockdown on the survival of osteosarcoma cells in vitro, we employed cleaved caspase-3 immunoblotting and propidium iodide staining techniques. The impact of SOX9 and JMJD1C depletion on OS tumor growth was examined in vivo using xenografts and immunohistochemistry. Downstream targets of SOX9 were identified and dissected using RNAseq, pathway analysis, and gene set enrichment analysis. Furthermore, the interactome of SOX9 was identified using BioID and validated by PLA. RESULT Our findings demonstrate that SOX9 is a critical TF that is induced by RUNX2. Both in vitro and in vivo experiments revealed that SOX9 plays a pivotal role in the survival of OS. RNAseq analysis revealed that SOX9 activates the transcription of MYC, a downstream target of RUNX2. Mechanistically, our results suggest a transcriptional network involving SOX9, RUNX2, and MYC, with SOX9 binding to RUNX2. Moreover, we discovered that JMJD1C, a chromatin factor, is a novel binding partner of SOX9, and depletion of JMJD1C impairs OS tumor growth. CONCLUSION The findings of this study represent a significant advancement in our understanding of the transcriptional network present in OS cells, providing valuable insights that may contribute to the development of targeted therapies for OS.
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Affiliation(s)
- Young-Im Kim
- Cancer and Stem Cell Epigenetics Group, Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Yu-Chou Tseng
- Cancer and Stem Cell Epigenetics Group, Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Gamze Ayaz
- Cancer and Stem Cell Epigenetics Group, Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Shasha Wang
- Cancer and Stem Cell Epigenetics Group, Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Hualong Yan
- Cancer and Stem Cell Epigenetics Group, Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Wendy du Bois
- Cancer and Stem Cell Epigenetics Group, Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Howard Yang
- High-Dimension Data Analysis Group, Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Tao Zhen
- Translational and Functional Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Maxwell P Lee
- High-Dimension Data Analysis Group, Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Paul Liu
- Translational and Functional Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Rosandra N Kaplan
- Tumor Microenvironment Section, Pediatric Oncology Branch, Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Jing Huang
- Cancer and Stem Cell Epigenetics Group, Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
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10
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Chen Z, Tian D, Chen X, Cheng M, Xie H, Zhao J, Liu J, Fang Z, Zhao B, Bian E. Super-enhancer-driven lncRNA LIMD1-AS1 activated by CDK7 promotes glioma progression. Cell Death Dis 2023; 14:383. [PMID: 37385987 PMCID: PMC10310775 DOI: 10.1038/s41419-023-05892-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 05/07/2023] [Accepted: 06/15/2023] [Indexed: 07/01/2023]
Abstract
Long non-coding RNAs (lncRNAs) are tissue-specific expression patterns and dysregulated in cancer. How they are regulated still needs to be determined. We aimed to investigate the functions of glioma-specific lncRNA LIMD1-AS1 activated by super-enhancer (SE) and identify the potential mechanisms. In this paper, we identified a SE-driven lncRNA, LIMD1-AS1, which is expressed at significantly higher levels in glioma than in normal brain tissue. High LIMD1-AS1 levels were significantly associated with a shorter survival time of glioma patients. LIMD1-AS1 overexpression significantly enhanced glioma cells proliferation, colony formation, migration, and invasion, whereas LIMD1-AS1 knockdown inhibited their proliferation, colony formation, migration, and invasion, and the xenograft tumor growth of glioma cells in vivo. Mechanically, inhibition of CDK7 significantly attenuates MED1 recruitment to the super-enhancer of LIMD1-AS1 and then decreases the expression of LIMD1-AS1. Most importantly, LIMD1-AS1 could directly bind to HSPA5, leading to the activation of interferon signaling. Our findings support the idea that CDK7 mediated-epigenetically activation of LIMD1-AS1 plays a crucial role in glioma progression and provides a promising therapeutic approach for patients with glioma.
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Affiliation(s)
- Zhigang Chen
- Department of Neurosurgery, the Second Affiliated Hospital of Anhui Medical University, 678 Fu Rong Road, Hefei, Anhui, 230601, China
- Cerebral Vascular Disease Research Center, Anhui Medical University, 678 Fu Rong Road, Hefei, Anhui, 230601, China
| | - Dasheng Tian
- Department of Orthopaedics, the Second Affiliated Hospital of Anhui Medical University, 678 Fu Rong Road, Hefei, Anhui, 230601, China
| | - Xueran Chen
- Department of Laboratory Medicine, Hefei Cancer Hospital, Chinese Academy of Sciences, No. 350, Shushan Hu Road, Hefei, Anhui, 230601, China
- Anhui Province Key Laboratory of Medical Physics and Technology; Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, No. 350, Shushan Hu Road, Hefei, Anhui, 230601, China
| | - Meng Cheng
- Department of Neurosurgery, the Second Affiliated Hospital of Anhui Medical University, 678 Fu Rong Road, Hefei, Anhui, 230601, China
- Cerebral Vascular Disease Research Center, Anhui Medical University, 678 Fu Rong Road, Hefei, Anhui, 230601, China
| | - Han Xie
- Department of Neurosurgery, the Second Affiliated Hospital of Anhui Medical University, 678 Fu Rong Road, Hefei, Anhui, 230601, China
- Cerebral Vascular Disease Research Center, Anhui Medical University, 678 Fu Rong Road, Hefei, Anhui, 230601, China
| | - JiaJia Zhao
- Department of Neurosurgery, the Second Affiliated Hospital of Anhui Medical University, 678 Fu Rong Road, Hefei, Anhui, 230601, China
- Cerebral Vascular Disease Research Center, Anhui Medical University, 678 Fu Rong Road, Hefei, Anhui, 230601, China
| | - Jun Liu
- Department of Orthopaedics, the Second Affiliated Hospital of Anhui Medical University, 678 Fu Rong Road, Hefei, Anhui, 230601, China
| | - Zhiyou Fang
- Department of Laboratory Medicine, Hefei Cancer Hospital, Chinese Academy of Sciences, No. 350, Shushan Hu Road, Hefei, Anhui, 230601, China.
- Anhui Province Key Laboratory of Medical Physics and Technology; Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, No. 350, Shushan Hu Road, Hefei, Anhui, 230601, China.
| | - Bing Zhao
- Department of Neurosurgery, the Second Affiliated Hospital of Anhui Medical University, 678 Fu Rong Road, Hefei, Anhui, 230601, China.
- Cerebral Vascular Disease Research Center, Anhui Medical University, 678 Fu Rong Road, Hefei, Anhui, 230601, China.
| | - Erbao Bian
- Department of Neurosurgery, the Second Affiliated Hospital of Anhui Medical University, 678 Fu Rong Road, Hefei, Anhui, 230601, China.
- Department of Orthopaedics, the Second Affiliated Hospital of Anhui Medical University, 678 Fu Rong Road, Hefei, Anhui, 230601, China.
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11
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Pomella S, Danielli SG, Alaggio R, Breunis WB, Hamed E, Selfe J, Wachtel M, Walters ZS, Schäfer BW, Rota R, Shipley JM, Hettmer S. Genomic and Epigenetic Changes Drive Aberrant Skeletal Muscle Differentiation in Rhabdomyosarcoma. Cancers (Basel) 2023; 15:2823. [PMID: 37345159 DOI: 10.3390/cancers15102823] [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: 03/19/2023] [Revised: 05/14/2023] [Accepted: 05/16/2023] [Indexed: 06/23/2023] Open
Abstract
Rhabdomyosarcoma (RMS), the most common soft-tissue sarcoma in children and adolescents, represents an aberrant form of skeletal muscle differentiation. Both skeletal muscle development, as well as regeneration of adult skeletal muscle are governed by members of the myogenic family of regulatory transcription factors (MRFs), which are deployed in a highly controlled, multi-step, bidirectional process. Many aspects of this complex process are deregulated in RMS and contribute to tumorigenesis. Interconnected loops of super-enhancers, called core regulatory circuitries (CRCs), define aberrant muscle differentiation in RMS cells. The transcriptional regulation of MRF expression/activity takes a central role in the CRCs active in skeletal muscle and RMS. In PAX3::FOXO1 fusion-positive (PF+) RMS, CRCs maintain expression of the disease-driving fusion oncogene. Recent single-cell studies have revealed hierarchically organized subsets of cells within the RMS cell pool, which recapitulate developmental myogenesis and appear to drive malignancy. There is a large interest in exploiting the causes of aberrant muscle development in RMS to allow for terminal differentiation as a therapeutic strategy, for example, by interrupting MEK/ERK signaling or by interfering with the epigenetic machinery controlling CRCs. In this review, we provide an overview of the genetic and epigenetic framework of abnormal muscle differentiation in RMS, as it provides insights into fundamental mechanisms of RMS malignancy, its remarkable phenotypic diversity and, ultimately, opportunities for therapeutic intervention.
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Affiliation(s)
- Silvia Pomella
- Department of Hematology/Oncology, Cell and Gene Therapy, Bambino Gesù Children's Hospital, IRCCS Istituto Ospedale Pediatrico Bambino Gesu, Viale San Paolo 15, 00146 Rome, Italy
- Department of Clinical Sciences and Translational Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy
| | - Sara G Danielli
- Department of Oncology and Children's Research Center, University Children's Hospital of Zurich, 8032 Zürich, Switzerland
| | - Rita Alaggio
- Department of Pathology, Cell and Gene Therapy, Bambino Gesù Children's Hospital, IRCCS, Viale San Paolo 15, 00146 Rome, Italy
| | - Willemijn B Breunis
- Department of Oncology and Children's Research Center, University Children's Hospital of Zurich, 8032 Zürich, Switzerland
| | - Ebrahem Hamed
- Division of Pediatric Hematology and Oncology, Department of Pediatric and Adolescent Medicine, University Medical Center Freiburg, University of Freiburg, 79106 Freiburg, Germany
| | - Joanna Selfe
- Sarcoma Molecular Pathology Team, Divisions of Molecular Pathology and Cancer Therapeutics, The Institute of Cancer Research, London SM2 FNG, UK
| | - Marco Wachtel
- Department of Oncology and Children's Research Center, University Children's Hospital of Zurich, 8032 Zürich, Switzerland
| | - Zoe S Walters
- Translational Epigenomics Team, Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton SO17 1BJ, UK
| | - Beat W Schäfer
- Department of Oncology and Children's Research Center, University Children's Hospital of Zurich, 8032 Zürich, Switzerland
| | - Rossella Rota
- Department of Hematology/Oncology, Cell and Gene Therapy, Bambino Gesù Children's Hospital, IRCCS Istituto Ospedale Pediatrico Bambino Gesu, Viale San Paolo 15, 00146 Rome, Italy
| | - Janet M Shipley
- Sarcoma Molecular Pathology Team, Divisions of Molecular Pathology and Cancer Therapeutics, The Institute of Cancer Research, London SM2 FNG, UK
| | - Simone Hettmer
- Division of Pediatric Hematology and Oncology, Department of Pediatric and Adolescent Medicine, University Medical Center Freiburg, University of Freiburg, 79106 Freiburg, Germany
- Spemann Graduate School of Biology and Medicine (SGBM), 79104 Freiburg, Germany
- Comprehensive Cancer Centre Freiburg (CCCF), University Medical Center Freiburg, 790106 Freiburg, Germany
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12
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Yang Q, Al-Hendy A. The Functional Role and Regulatory Mechanism of FTO m 6A RNA Demethylase in Human Uterine Leiomyosarcoma. Int J Mol Sci 2023; 24:7957. [PMID: 37175660 PMCID: PMC10178470 DOI: 10.3390/ijms24097957] [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: 02/06/2023] [Revised: 04/24/2023] [Accepted: 04/25/2023] [Indexed: 05/15/2023] Open
Abstract
Uterine leiomyosarcoma (uLMS) is the most frequent subtype of uterine sarcoma that presents a poor prognosis and high rates of recurrence and metastasis. The origin and molecular mechanism underlying and driving its clinical and biological behavior remain largely unknown. Recently, we and others have revealed the role of microRNAs, DNA methylation, and histone modifications in contributing to the pathogenesis of uLMS. However, the connection between reversible m6A RNA methylation and uLMS pathogenesis remains unclear. In this study, we assessed the role and mechanism of FTO m6A RNA demethylase in the pathogenesis of uLMS. Immunohistochemistry analysis revealed that the levels of RNA demethylases FTO and ALKBH5 were aberrantly upregulated in uLMS tissues compared to adjacent myometrium with a significant change by histochemical scoring assessment (p < 0.01). Furthermore, the inhibition of FTO demethylase with its small, potent inhibitor (Dac51) significantly decreased the uLMS proliferation dose-dependently via cell cycle arrest. Notably, RNA-seq analysis revealed that the inhibition of FTO with Dac51 exhibited a significant decrease in cell-cycle-related genes, including several CDK members, and a significant increase in the expression of CDKN1A, which correlated with a Dac51-exerted inhibitory effect on cell proliferation. Moreover, Dac51 treatment allowed the rewiring of several critical pathways, including TNFα signaling, KRAS signaling, inflammation response, G2M checkpoint, and C-Myc signaling, among others, leading to the suppression of the uLMS phenotype. Moreover, transcription factor (TF) analyses suggested that epitranscriptional alterations by Dac51 may alter the cell cycle-related gene expression via TF-driven pathways and epigenetic networks in uLMS cells. This intersection of RNA methylation and other epigenetic controls and pathways provides a framework to better understand uterine diseases, particularly uLMS pathogenesis with a dysregulation of RNA methylation machinery. Therefore, targeting the vulnerable epitranscriptome may provide an additional regulatory layer for a promising and novel strategy for treating patients with this aggressive uterine cancer.
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Affiliation(s)
- Qiwei Yang
- Department of Obstetrics and Gynecology, University of Chicago, Chicago, IL 60637, USA
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13
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Du X, Wang H, Xu J, Zhang Y, Chen T, Li G. Profiling and integrated analysis of transcriptional addiction gene expression and prognostic value in hepatocellular carcinoma. Aging (Albany NY) 2023; 15:204676. [PMID: 37171044 PMCID: PMC10188332 DOI: 10.18632/aging.204676] [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: 01/06/2023] [Accepted: 04/15/2023] [Indexed: 05/13/2023]
Abstract
Transcriptional dysregulation caused by genomic and epigenetic alterations in cancer is called "transcriptional addiction". Transcriptional addiction is an important pathogenic factor of tumor malignancy. Hepatocellular carcinoma (HCC) genomes are highly heterogeneous, with many dysregulated genes. Our study analyzed the possibility that transcriptional addiction-related genes play a significant role in HCC. All data sources for conducting this study were public cancer databases and tissue microarrays. We identified 38 transcriptional addiction genes, and most were differentially expressed genes. Among patients of different groups, there were significant differences in overall survival rates. Both nomogram and risk score were independent predictors of HCC outcomes. Transcriptional addiction gene expression characteristics determine the sensitivity of patients to immunotherapy, cisplatin, and sorafenib. Besides, HDAC2 was identified as an oncogene, and its expression was correlated with patient survival time. Our study conclusively demonstrated that transcriptional addiction is crucial in HCC. We provided biomarkers for predicting the prognosis of HCC patients, which can more precisely guide the patient's treatment.
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Affiliation(s)
- Xiaowei Du
- First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Hao Wang
- Second Department of Oncology, Seventh People’s Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jing Xu
- Second Department of Oncology, Seventh People’s Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yufei Zhang
- Second Department of Oncology, Seventh People’s Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Tingsong Chen
- Second Department of Oncology, Seventh People’s Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Gao Li
- Second Department of Oncology, Seventh People’s Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China
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14
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Chambers C, Cermakova K, Chan YS, Kurtz K, Wohlan K, Lewis AH, Wang C, Pham A, Dejmek M, Sala M, Loeza Cabrera M, Aguilar R, Nencka R, Lacorazza HD, Rau RE, Hodges HC. SWI/SNF Blockade Disrupts PU.1-Directed Enhancer Programs in Normal Hematopoietic Cells and Acute Myeloid Leukemia. Cancer Res 2023; 83:983-996. [PMID: 36662812 PMCID: PMC10071820 DOI: 10.1158/0008-5472.can-22-2129] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 11/09/2022] [Accepted: 01/18/2023] [Indexed: 01/21/2023]
Abstract
In acute myeloid leukemia (AML), SWI/SNF chromatin remodeling complexes sustain leukemic identity by driving high levels of MYC. Previous studies have implicated the hematopoietic transcription factor PU.1 (SPI1) as an important target of SWI/SNF inhibition, but PU.1 is widely regarded to have pioneer-like activity. As a result, many questions have remained regarding the interplay between PU.1 and SWI/SNF in AML as well as normal hematopoiesis. Here we found that PU.1 binds to most of its targets in a SWI/SNF-independent manner and recruits SWI/SNF to promote accessibility for other AML core regulatory factors, including RUNX1, LMO2, and MEIS1. SWI/SNF inhibition in AML cells reduced DNA accessibility and binding of these factors at PU.1 sites and redistributed PU.1 to promoters. Analysis of nontumor hematopoietic cells revealed that similar effects also impair PU.1-dependent B-cell and monocyte populations. Nevertheless, SWI/SNF inhibition induced profound therapeutic response in an immunocompetent AML mouse model as well as in primary human AML samples. In vivo, SWI/SNF inhibition promoted leukemic differentiation and reduced the leukemic stem cell burden in bone marrow but also induced leukopenia. These results reveal a variable therapeutic window for SWI/SNF blockade in AML and highlight important off-tumor effects of such therapies in immunocompetent settings. SIGNIFICANCE Disruption of PU.1-directed enhancer programs upon SWI/SNF inhibition causes differentiation of AML cells and induces leukopenia of PU.1-dependent B cells and monocytes, revealing the on- and off-tumor effects of SWI/SNF blockade.
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Affiliation(s)
- Courtney Chambers
- Department of Molecular and Cellular Biology, Center for Precision Environmental Health, Baylor College of Medicine, Houston, Texas
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
- Translational Biology and Molecular Medicine Graduate Program, Baylor College of Medicine, Houston, Texas
| | - Katerina Cermakova
- Department of Molecular and Cellular Biology, Center for Precision Environmental Health, Baylor College of Medicine, Houston, Texas
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Yuen San Chan
- Department of Molecular and Cellular Biology, Center for Precision Environmental Health, Baylor College of Medicine, Houston, Texas
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Kristen Kurtz
- Department of Pediatrics, Baylor College of Medicine and Texas Children's Hospital, Houston, Texas
| | - Katharina Wohlan
- Department of Molecular and Cellular Biology, Center for Precision Environmental Health, Baylor College of Medicine, Houston, Texas
| | - Andrew Henry Lewis
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, Texas
| | - Christiana Wang
- Genetics and Genomics Graduate Program, Baylor College of Medicine, Houston, Texas
| | - Anh Pham
- Department of Bioengineering, Rice University, Houston, Texas
| | - Milan Dejmek
- Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Prague, Czech Republic
| | - Michal Sala
- Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Prague, Czech Republic
| | - Mario Loeza Cabrera
- Department of Molecular and Cellular Biology, Center for Precision Environmental Health, Baylor College of Medicine, Houston, Texas
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Rogelio Aguilar
- Stem Cells and Regenerative Medicine Center, Baylor College of Medicine, Houston, Texas
| | - Radim Nencka
- Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Prague, Czech Republic
| | - H. Daniel Lacorazza
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, Texas
| | - Rachel E. Rau
- Department of Pediatrics, Baylor College of Medicine and Texas Children's Hospital, Houston, Texas
- Stem Cells and Regenerative Medicine Center, Baylor College of Medicine, Houston, Texas
| | - H. Courtney Hodges
- Department of Molecular and Cellular Biology, Center for Precision Environmental Health, Baylor College of Medicine, Houston, Texas
- Department of Bioengineering, Rice University, Houston, Texas
- Center for Cancer Epigenetics, The University of Texas MD Anderson Cancer Center, Houston, Texas
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15
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Hayashi T, Kishi M, Takamochi K, Hosoya M, Kohsaka S, Kishikawa S, Ura A, Sano K, Sasahara N, Suehara Y, Takahashi F, Saito T, Suzuki K, Yao T. Expression of paired box 9 defines an aggressive subset of lung adenocarcinoma preferentially occurring in smokers. Histopathology 2023; 82:672-683. [PMID: 36527228 DOI: 10.1111/his.14853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 12/06/2022] [Accepted: 12/13/2022] [Indexed: 12/23/2022]
Abstract
AIMS A distinct subset of lung adenocarcinomas (LADs), arising from a series of peripheral lung cells defined as the terminal respiratory unit (TRU), is characterised by thyroid transcription factor 1 (TTF-1) expression. The clinical relevance of transcription factors (TFs) other than TTF-1 remains unknown in LAD and was explored in the present study. METHODS AND RESULTS Seventy-one LAD samples were subjected to high-throughput transcriptome screening of LAD using cap analysis gene expression (CAGE) sequencing data; CAGE provides genome-wide expression levels of the transcription start sites (TSSs). In total, 1083 invasive LAD samples were subjected to immunohistochemical examination for paired box 9 (PAX9) and TTF-1 expression levels. PAX9 is an endoderm development-associated TF that most strongly and inversely correlates with the expression of TTF-1 TSS subsets. Immunohistochemically, PAX9 expression was restricted to the nuclei of ciliated epithelial and basal cells in the bronchi and bronchioles and the nuclei of epithelial cells of the bronchial glands; moreover, PAX9 expression was observed in 304 LADs (28%). PAX9-positive LADs were significantly associated with heavy smoking, non-lepidic subtype, EGFR wild-type tumours and PD-L1 expression (all P < 0.0001). All these characteristics were opposite to those of TRU-type LADs with TTF-1 expression. PAX9 expression was an independent prognostic factor for decreased overall survival (P = 0.022). CONCLUSIONS Our results revealed that PAX9 expression defines an aggressive subset of LADs preferentially occurring in smokers that may arise from bronchial or bronchiolar cells.
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Affiliation(s)
- Takuo Hayashi
- Department of Human Pathology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo
| | - Monami Kishi
- Department of Human Pathology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo
| | - Kazuya Takamochi
- Department of General Thoracic Surgery, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo
| | - Masaki Hosoya
- Department of Medical Oncology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo
| | - Shinji Kohsaka
- Division of Cellular Signaling, National Cancer Center Research Institute, Chuo-ku, Tokyo
| | - Satsuki Kishikawa
- Department of Human Pathology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo
| | - Ayako Ura
- Department of Human Pathology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo
| | - Kei Sano
- Department of Human Pathology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo.,Department of Medicine for Orthopaedics and Motor Organ, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo
| | - Noriko Sasahara
- Department of Human Pathology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo
| | - Yoshiyuki Suehara
- Department of Medicine for Orthopaedics and Motor Organ, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo
| | - Fumiyuki Takahashi
- Department of Respiratory Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Tsuyoshi Saito
- Department of Human Pathology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo
| | - Kenji Suzuki
- Department of General Thoracic Surgery, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo
| | - Takashi Yao
- Department of Human Pathology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo
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16
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Harada T, Kalfon J, Perez MW, Eagle K, Braes FD, Batley R, Heshmati Y, Ferrucio JX, Ewers J, Mehta S, Kossenkov A, Ellegast JM, Bowker A, Wickramasinghe J, Nabet B, Paralkar VR, Dharia NV, Stegmaier K, Orkin SH, Pimkin M. Leukemia core transcriptional circuitry is a sparsely interconnected hierarchy stabilized by incoherent feed-forward loops. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.13.532438. [PMID: 36993171 PMCID: PMC10054969 DOI: 10.1101/2023.03.13.532438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Lineage-defining transcription factors form densely interconnected circuits in chromatin occupancy assays, but the functional significance of these networks remains underexplored. We reconstructed the functional topology of a leukemia cell transcription network from the direct gene-regulatory programs of eight core transcriptional regulators established in pre-steady state assays coupling targeted protein degradation with nascent transcriptomics. The core regulators displayed narrow, largely non-overlapping direct transcriptional programs, forming a sparsely interconnected functional hierarchy stabilized by incoherent feed-forward loops. BET bromodomain and CDK7 inhibitors disrupted the core regulators' direct programs, acting as mixed agonists/antagonists. The network is predictive of dynamic gene expression behaviors in time-resolved assays and clinically relevant pathway activity in patient populations.
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Affiliation(s)
- Taku Harada
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children’s Hospital, Harvard Medical School, Boston, MA, 02215, USA
| | - Jérémie Kalfon
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, 02142, USA
| | - Monika W. Perez
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children’s Hospital, Harvard Medical School, Boston, MA, 02215, USA
| | - Kenneth Eagle
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children’s Hospital, Harvard Medical School, Boston, MA, 02215, USA
- Ken Eagle Consulting, Houston, TX, 77494, USA
| | - Flora Dievenich Braes
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children’s Hospital, Harvard Medical School, Boston, MA, 02215, USA
| | - Rashad Batley
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children’s Hospital, Harvard Medical School, Boston, MA, 02215, USA
| | - Yaser Heshmati
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children’s Hospital, Harvard Medical School, Boston, MA, 02215, USA
| | - Juliana Xavier Ferrucio
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children’s Hospital, Harvard Medical School, Boston, MA, 02215, USA
| | - Jazmin Ewers
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children’s Hospital, Harvard Medical School, Boston, MA, 02215, USA
| | - Stuti Mehta
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children’s Hospital, Harvard Medical School, Boston, MA, 02215, USA
| | | | - Jana M. Ellegast
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children’s Hospital, Harvard Medical School, Boston, MA, 02215, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, 02142, USA
| | - Allyson Bowker
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children’s Hospital, Harvard Medical School, Boston, MA, 02215, USA
| | | | - Behnam Nabet
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Vikram R. Paralkar
- Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Neekesh V. Dharia
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children’s Hospital, Harvard Medical School, Boston, MA, 02215, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, 02142, USA
| | - Kimberly Stegmaier
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children’s Hospital, Harvard Medical School, Boston, MA, 02215, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, 02142, USA
| | - Stuart H. Orkin
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children’s Hospital, Harvard Medical School, Boston, MA, 02215, USA
- Howard Hughes Medical Institute, Boston, MA, 02115, USA
| | - Maxim Pimkin
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children’s Hospital, Harvard Medical School, Boston, MA, 02215, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, 02142, USA
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17
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Selvaraj C, Ramalingam KR, Velmurugan D, Singh SK. Transcriptional regulatory mechanisms and signaling networks in cancer. ADVANCES IN PROTEIN CHEMISTRY AND STRUCTURAL BIOLOGY 2023; 134:1-20. [PMID: 36858731 DOI: 10.1016/bs.apcsb.2022.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Cancer is a general term that refers to a wide range of illnesses that are characterized by the development of aberrant cells that have the capacity to divide uncontrollably, invade, and harm healthy tissue. It is caused by both genetic and epigenetic changes that suppress abnormal proliferation and prevent cells from surviving outside of their normal niches. Complex protein networks are responsible for the development of a suitable environment via multiple cells signaling pathways. The study of these pathways is essential for analysing network context and developing novel cancer therapies. Transcription factors (TFs) are actively involved in gene expression and maintain the combinatorial on-and-off states of the gene. In addition, the TFs regulate cell identity and state; these TFs cooperate to establish cell-type-specific gene expression. In this chapter, we describe the number of transcription factors and their role in the progression of cancer. The knowledge of transcriptional factors and their network is crucial for emphasizing the specific transcriptional addiction and for designing new anticancer therapies.
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Affiliation(s)
- Chandrabose Selvaraj
- Center for Transdisciplinary Research, Department of Pharmacology, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, Tamil Nadu, India.
| | - Karthik Raja Ramalingam
- Department of Biotechnology, Division of Research and Innovation, Saveetha School of Engineering, SIMATS, Chennai, Tamil Nadu, India
| | - Devadasan Velmurugan
- Center for Transdisciplinary Research, Department of Pharmacology, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, Tamil Nadu, India
| | - Sanjeev Kumar Singh
- Computer Aided Drug Design and Molecular Modelling Lab, Department of Bioinformatics, Science Block, Alagappa University, Karaikudi, Tamil Nadu, India.
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TRANSPARENT: a Python tool for designing transcription factor regulatory networks. Soft comput 2023. [DOI: 10.1007/s00500-023-07888-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
AbstractTranscription factors are proteins able to selectively bind DNA short traits, namely transcription factors binding sites, in order to regulate gene expression in terms of both repression and activation. Despite plenty of studies focusing on transcription factors and on the role they play in specific biological tasks or diseases, is available in the literature, to our knowledge there is no tool able to automatically provide a list of transcription factors involved in this task and the associated interaction network through a solid computational analysis. TRANScriPtion fActor REgulatory NeTwork (TRANSPARENT) is a user-friendly Python tool designed to help researchers in studying given biological tasks or given diseases in human, by identifying transcription factors controlling and regulating the expression of genes associated with that task or disease. The tool takes in input a list of gene IDs and provides (1) a set of transcription factors that are significantly associated with the input genes, (2) the correspondent P values (i.e., the probability that this observed association was driven by chance) and (3) a transcription factor network that can be directly visualized through STRING database. The effectiveness and reliability of the tool were assessed by applying it to two different test cases: schizophrenia and autism disorders. The obtained results clearly show that identified TFs, for both datasets, are significantly associated with those disorders, in terms of both gene enrichment and coherence with the literature. The proposed tool TRANSPARENT can be a useful instrument to investigate transcription factor networks and unveil the role that TFs play in given biological tasks and diseases.
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Jeong S, Lee D, Park HR, Kang J, Yu Y, Hwang JJ, Kim YH. DeepCIA: a novel deep-learning model for cancer type identification using class activation map via transcription factor expression. Am J Cancer Res 2022; 12:5631-5645. [PMID: 36628273 PMCID: PMC9827098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 11/20/2022] [Indexed: 01/12/2023] Open
Abstract
Deep learning methods are powerful analytical tools for large-scale data analysis. Here, we introduce DeepCIA as a novel diagnostic deep-learning model for cancer type identification using a class activation map via transcription factor expression. Although many deep learning researches attempts have recently been made in relation to cancer diagnosis, there are difficulties in using cancer data due to a large-scale problem. Therefore, From The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) public databases, we selected transcription factor expression profiles of eight cancer types. TCGA included 3496 samples and divided the train and validation sets in an 8:2 ratio. ICGC included 552 samples and was used as a test set for external validation. To compare the performance of 1D-CNN models, we also used SVM and KNN from machine learning. In external validation, 1D-CNN showed a high average accuracy of 98% and was superior to support vector machine (SVM) and k-nearest neighbor (KNN) with a difference in the accuracy of 10-12%. Also, 1D-CNN performed very well in several performance metrics (98.2% Recall, 98.1% Precision, 98.2% F score, 99.8% Specificity, 99.8% AUC, and 99.0% Balanced Accuracy). In each data set evaluation, 1-network, 5-network, and 2-network with high accuracy were selected and visualized through the Class Activation Map. We identified the Cys2Hys2 zinc finger group with the highest distribution across all cancer types. Collectively, DeepCIA can be used as a decision support system for cancer and a classifier for diagnosing unknown primary cancer, while emphasizing its usefulness in cancer diagnosis.
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Affiliation(s)
- Seongdo Jeong
- Research Institute for Convergence of Biomedical Science and Technology, Yangsan Hospital, Pusan National UniversityYangsan 50612, Republic of Korea
| | - Dongjun Lee
- Department of Convergence Medicine, School of Medicine, Pusan National UniversityYangsan 50612, Republic of Korea
| | - Hae Ryoun Park
- Department of Oral Pathology, School of Dentistry, Pusan National University49 Busandaehak-ro, Yangsan 50612, Republic of Korea,Periodontal Disease Signaling Network Research Center, School of Dentistry, Pusan National UniversityYangsan 50612, Republic of Korea
| | - Junho Kang
- Medical Research Institute, Pusan National UniversityPusan, Republic of Korea
| | - Yeuni Yu
- Medical Research Institute, Pusan National UniversityPusan, Republic of Korea
| | - Jae Joon Hwang
- Department of Oral and Maxillofacial Radiology, School of Dentistry, Pusan National University, Dental Research InstituteYangsan 50610, Republic of Korea
| | - Yun Hak Kim
- Research Institute for Convergence of Biomedical Science and Technology, Yangsan Hospital, Pusan National UniversityYangsan 50612, Republic of Korea,Department of Anatomy, School of Medicine, Pusan National University49 Busandaehak-ro, Yangsan 50612, Republic of Korea,Department of Biomedical Informatics, School of Medicine, Pusan National University49 Busandaehak-ro, Yangsan 50612, Republic of Korea
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20
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Yang Q, Falahati A, Khosh A, Mohammed H, Kang W, Corachán A, Bariani MV, Boyer TG, Al-Hendy A. Targeting Class I Histone Deacetylases in Human Uterine Leiomyosarcoma. Cells 2022; 11:cells11233801. [PMID: 36497061 PMCID: PMC9735512 DOI: 10.3390/cells11233801] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 11/19/2022] [Accepted: 11/23/2022] [Indexed: 11/29/2022] Open
Abstract
Uterine leiomyosarcoma (uLMS) is the most frequent subtype of uterine sarcoma that presents a poor prognosis, high rates of recurrence, and metastasis. Currently, the molecular mechanism of the origin and development of uLMS is unknown. Class I histone deacetylases (including HDAC1, 2, 3, and 8) are one of the major classes of the HDAC family and catalyze the removal of acetyl groups from lysine residues in histones and cellular proteins. Class I HDACs exhibit distinct cellular and subcellular expression patterns and are involved in many biological processes and diseases through diverse signaling pathways. However, the link between class I HDACs and uLMS is still being determined. In this study, we assessed the expression panel of Class I HDACs in uLMS and characterized the role and mechanism of class I HDACs in the pathogenesis of uLMS. Immunohistochemistry analysis revealed that HDAC1, 2, and 3 are aberrantly upregulated in uLMS tissues compared to adjacent myometrium. Immunoblot analysis demonstrated that the expression levels of HDAC 1, 2, and 3 exhibited a graded increase from normal and benign to malignant uterine tumor cells. Furthermore, inhibition of HDACs with Class I HDACs inhibitor (Tucidinostat) decreased the uLMS proliferation in a dose-dependent manner. Notably, gene set enrichment analysis of differentially expressed genes (DEGs) revealed that inhibition of HDACs with Tucidinostat altered several critical pathways. Moreover, multiple epigenetic analyses suggested that Tucidinostat may alter the transcriptome via reprogramming the oncogenic epigenome and inducing the changes in microRNA-target interaction in uLMS cells. In the parallel study, we also determined the effect of DL-sulforaphane on the uLMS. Our study demonstrated the relevance of class I HDACs proteins in the pathogenesis of malignant uLMS. Further understanding the role and mechanism of HDACs in uLMS may provide a promising and novel strategy for treating patients with this aggressive uterine cancer.
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Affiliation(s)
- Qiwei Yang
- Department of Obstetrics and Gynecology, University of Chicago, Chicago, IL 60637, USA
- Correspondence:
| | - Ali Falahati
- Department of Biology, Yazd University, Yazd 891581841, Iran
| | - Azad Khosh
- Department of Biology, Yazd University, Yazd 891581841, Iran
| | - Hanaa Mohammed
- Anatomy Department, Faculty of Medicine, Sohag University, Sohag 82524, Egypt
| | - Wenjun Kang
- Center for Research Informatics, University of Chicago, Chicago, IL 60637, USA
| | - Ana Corachán
- Department of Paediatrics, University of Valencia, Obstetrics and Gynecology, 46026 Valencia, Spain
| | | | - Thomas G. Boyer
- Department of Molecular Medicine, Institute of Biotechnology, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
| | - Ayman Al-Hendy
- Department of Obstetrics and Gynecology, University of Chicago, Chicago, IL 60637, USA
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Li M, Han Y, Wang C, Kang W, Jiang W, Zhang L, Tang Y. Dissecting super-enhancer driven transcriptional dependencies reveals novel therapeutic strategies and targets for group 3 subtype medulloblastoma. J Exp Clin Cancer Res 2022; 41:311. [PMID: 36273157 PMCID: PMC9587669 DOI: 10.1186/s13046-022-02506-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 09/30/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Medulloblastoma is the most common malignant pediatric brain tumor and group 3 subtype medulloblastoma (G3-MB) exhibits the worst prognosis. Super enhancers (SEs) are large clusters of enhancers that play important roles in cancer through transcriptional control of cell identity genes, oncogenes and tumor-dependent genes. Dissecting SE-driven transcriptional dependencies of cancer leads to identification of novel oncogenic mechanisms, therapeutic strategies and targets. METHODS Integrative SE analyses of primary tissues and patient-derived tumor cell lines of G3-MB were performed to extract the conserved SE-associated gene signatures and their oncogenic potentials were evaluated by gene expression, tumor-dependency and patient prognosis analyses. SE-associated subtype-specific upregulated tumor-dependent genes, which were revealed as members of SE-driven core transcriptional regulatory network of G3-MB, were then subjected to functional validation and mechanistic investigation. SE-associated therapeutic potential was further explored by genetic or pharmaceutical targeting of SE complex components or SE-associated subtype-specific upregulated tumor-dependent genes individually or in combination, and the underlying therapeutic mechanisms were also examined. RESULTS The identified conserved SE-associated transcripts of G3-MB tissues and cell lines were enriched of subtype-specifically upregulated tumor-dependent genes and MB patients harboring enrichment of those transcripts exhibited worse prognosis. Fourteen such conserved SE-associated G3-MB-specific upregulated tumor-dependent genes were identified to be members of SE-driven core transcriptional regulatory network of G3-MB, including three well-recognized TFs (MYC, OTX2 and CRX) and eleven newly identified downstream effector genes (ARL4D, AUTS2, BMF, IGF2BP3, KIF21B, KLHL29, LRP8, MARS1, PSMB5, SDK2 and SSBP3). An OTX2-SE-ARL4D regulatory axis was further revealed to represent a subtype-specific tumor dependency and therapeutic target of G3-MB via contributing to maintaining cell cycle progression and inhibiting neural differentiation of tumor cells. Moreover, BET inhibition with CDK7 inhibition or proteasome inhibition, two combinatory strategies of targeting SE complex components (BRD4, CDK7) or SE-associated effector gene (PSMB5), were shown to exhibit synergistic therapeutic effects against G3-MB via stronger suppression of SE-associated transcription or higher induction of ER stress, respectively. CONCLUSIONS Our study verifies the oncogenic role and therapeutic potential of SE-driven transcriptional dependencies of G3-MB, resulting in better understanding of its tumor biology and identification of novel SE-associated therapeutic strategies and targets.
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Affiliation(s)
- Meng Li
- grid.16821.3c0000 0004 0368 8293Key Laboratory of Cell Differentiation and Apoptosis of National Ministry of Education, Department of Pathophysiology, Shanghai Jiao Tong University School of Medicine, 280 South Chongqing Road, 200025 Shanghai, People’s Republic of China
| | - Yujie Han
- grid.16821.3c0000 0004 0368 8293Key Laboratory of Cell Differentiation and Apoptosis of National Ministry of Education, Department of Pathophysiology, Shanghai Jiao Tong University School of Medicine, 280 South Chongqing Road, 200025 Shanghai, People’s Republic of China
| | - Chaochen Wang
- grid.13402.340000 0004 1759 700XDepartment of Breast Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, People’s Republic of China ,grid.13402.340000 0004 1759 700XZJU-UoE Institute, Zhejiang University School of Medicine, International Campus, Zhejiang University, Haining, People’s Republic of China
| | - Wenfeng Kang
- grid.16821.3c0000 0004 0368 8293Key Laboratory of Cell Differentiation and Apoptosis of National Ministry of Education, Department of Pathophysiology, Shanghai Jiao Tong University School of Medicine, 280 South Chongqing Road, 200025 Shanghai, People’s Republic of China
| | - Wenyan Jiang
- grid.16821.3c0000 0004 0368 8293Key Laboratory of Cell Differentiation and Apoptosis of National Ministry of Education, Department of Pathophysiology, Shanghai Jiao Tong University School of Medicine, 280 South Chongqing Road, 200025 Shanghai, People’s Republic of China
| | - Lei Zhang
- grid.16821.3c0000 0004 0368 8293Key Laboratory of Cell Differentiation and Apoptosis of National Ministry of Education, Department of Pathophysiology, Shanghai Jiao Tong University School of Medicine, 280 South Chongqing Road, 200025 Shanghai, People’s Republic of China
| | - Yujie Tang
- grid.16821.3c0000 0004 0368 8293Key Laboratory of Cell Differentiation and Apoptosis of National Ministry of Education, Department of Pathophysiology, Shanghai Jiao Tong University School of Medicine, 280 South Chongqing Road, 200025 Shanghai, People’s Republic of China ,grid.16821.3c0000 0004 0368 8293Shanghai Key Laboratory of Reproductive Medicine, Department of Histoembryology, Genetics and Developmental Biology, Shanghai Jiao Tong University School of Medicine, 280 South Chongqing Road, Shanghai, 200025 People’s Republic of China
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22
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Song H, Liu Y, Tan Y, Zhang Y, Jin W, Chen L, Wu S, Yan J, Li J, Chen Z, Chen S, Wang K. Recurrent noncoding somatic and germline WT1 variants converge to disrupt MYB binding in acute promyelocytic leukemia. Blood 2022; 140:1132-1144. [PMID: 35653587 PMCID: PMC9461475 DOI: 10.1182/blood.2021014945] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Accepted: 05/24/2022] [Indexed: 11/22/2022] Open
Abstract
Genetic alternations can occur at noncoding regions, but how they contribute to cancer pathogenesis is poorly understood. Here, we established a mutational landscape of cis-regulatory regions (CREs) in acute promyelocytic leukemia (APL) based on whole-genome sequencing analysis of paired tumor and germline samples from 24 patients and epigenetic profiling of 16 patients. Mutations occurring in CREs occur preferentially in active enhancers bound by the complex of master transcription factors in APL. Among significantly enriched mutated CREs, we found a recurrently mutated region located within the third intron of WT1, an essential regulator of normal and malignant hematopoiesis. Focusing on noncoding mutations within this WT1 intron, an analysis on 169 APL patients revealed that somatic mutations were clustered into a focal hotspot region, including one site identified as a germline polymorphism contributing to APL risk. Significantly decreased WT1 expression was observed in APL patients bearing somatic and/or germline noncoding WT1 variants. Furthermore, biallelic WT1 inactivation was recurrently found in APL patients with noncoding WT1 variants, which resulted in the complete loss of WT1. The high incidence of biallelic inactivation suggested the tumor suppressor activity of WT1 in APL. Mechanistically, noncoding WT1 variants disrupted MYB binding on chromatin and suppressed the enhancer activity and WT1 expression through destroying the chromatin looping formation. Our study highlights the important role of noncoding variants in the leukemogenesis of APL.
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Affiliation(s)
- Huan Song
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yabin Liu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Yun Tan
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yi Zhang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wen Jin
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Sino-French Research Center for Life Sciences and Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; and
| | - Li Chen
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shishuang Wu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jinsong Yan
- Department of Hematology, the Second Hospital of Dalian Medical University, Dalian, China
| | - Junmin Li
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhu Chen
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Saijuan Chen
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Kankan Wang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
- Sino-French Research Center for Life Sciences and Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; and
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23
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Mohammad T, Singh P, Jairajpuri DS, Al-Keridis LA, Alshammari N, Adnan M, Dohare R, Hassan MI. Differential Gene Expression and Weighted Correlation Network Dynamics in High-Throughput Datasets of Prostate Cancer. Front Oncol 2022; 12:881246. [PMID: 35719950 PMCID: PMC9198298 DOI: 10.3389/fonc.2022.881246] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 05/03/2022] [Indexed: 12/13/2022] Open
Abstract
Precision oncology is an absolute need today due to the emergence of treatment resistance and heterogeneity among cancerous profiles. Target-propelled cancer therapy is one of the treasures of precision oncology which has come together with substantial medical accomplishment. Prostate cancer is one of the most common cancers in males, with tremendous biological heterogeneity in molecular and clinical behavior. The spectrum of molecular abnormalities and varying clinical patterns in prostate cancer suggest substantial heterogeneity among different profiles. To identify novel therapeutic targets and precise biomarkers implicated with prostate cancer, we performed a state-of-the-art bioinformatics study, beginning with analyzing high-throughput genomic datasets from The Cancer Genome Atlas (TCGA). Weighted gene co-expression network analysis (WGCNA) suggests a set of five dysregulated hub genes (MAF, STAT6, SOX2, FOXO1, and WNT3A) that played crucial roles in biological pathways associated with prostate cancer progression. We found overexpressed STAT6 and SOX2 and proposed them as candidate biomarkers and potential targets in prostate cancer. Furthermore, the alteration frequencies in STAT6 and SOX2 and their impact on the patients' survival were explored through the cBioPortal platform. The Kaplan-Meier survival analysis suggested that the alterations in the candidate genes were linked to the decreased overall survival of the patients. Altogether, the results signify that STAT6 and SOX2 and their genomic alterations can be explored in therapeutic interventions of prostate cancer for precision oncology, utilizing early diagnosis and target-propelled therapy.
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Affiliation(s)
- Taj Mohammad
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India
| | - Prithvi Singh
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India
| | - Deeba Shamim Jairajpuri
- Department of Medical Biochemistry, College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Bahrain
| | - Lamya Ahmed Al-Keridis
- Department of Biology, College of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia
| | - Nawaf Alshammari
- Department of Biology, College of Science, University of Hail, Hail, Saudi Arabia
| | - Mohd Adnan
- Department of Biology, College of Science, University of Hail, Hail, Saudi Arabia
| | - Ravins Dohare
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India
| | - Md Imtaiyaz Hassan
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India
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PRRX1 is a master transcription factor of stromal fibroblasts for myofibroblastic lineage progression. Nat Commun 2022; 13:2793. [PMID: 35589735 PMCID: PMC9120014 DOI: 10.1038/s41467-022-30484-4] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 05/04/2022] [Indexed: 12/01/2022] Open
Abstract
Although stromal fibroblasts play a critical role in cancer progression, their identities remain unclear as they exhibit high heterogeneity and plasticity. Here, a master transcription factor (mTF) constructing core-regulatory circuitry, PRRX1, which determines the fibroblast lineage with a myofibroblastic phenotype, is identified for the fibroblast subgroup. PRRX1 orchestrates the functional drift of fibroblasts into myofibroblastic phenotype via TGF-β signaling by remodeling a super-enhancer landscape. Such reprogrammed fibroblasts have myofibroblastic functions resulting in markedly enhanced tumorigenicity and aggressiveness of cancer. PRRX1 expression in cancer-associated fibroblast (CAF) has an unfavorable prognosis in multiple cancer types. Fibroblast-specific PRRX1 depletion induces long-term and sustained complete remission of chemotherapy-resistant cancer in genetically engineered mice models. This study reveals CAF subpopulations based on super-enhancer profiles including PRRX1. Therefore, mTFs, including PRRX1, provide another opportunity for establishing a hierarchical classification system of fibroblasts and cancer treatment by targeting fibroblasts. Cancer associated fibroblasts are an important and highly heterogeneous component of the tumor microenvironment. Here the authors identify PRRX1 as a master transcription factor determining a fibroblast lineage with myofibroblastic phenotype, associated with unfavourable prognosis in several cancer types.
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25
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Shendy NAM, Zimmerman MW, Abraham BJ, Durbin AD. Intrinsic transcriptional heterogeneity in neuroblastoma guides mechanistic and therapeutic insights. Cell Rep Med 2022; 3:100632. [PMID: 35584622 PMCID: PMC9133465 DOI: 10.1016/j.xcrm.2022.100632] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 01/24/2022] [Accepted: 04/20/2022] [Indexed: 12/20/2022]
Abstract
Cell state is controlled by master transcription factors (mTFs) that determine the cellular gene expression program. Cancer cells acquire dysregulated gene expression programs by mutational and non-mutational processes. Intratumoral heterogeneity can result from cells displaying distinct mTF-regulated cell states, which co-exist within the tumor. One archetypal tumor associated with transcriptionally regulated heterogeneity is high-risk neuroblastoma (NB). Patients with NB have poor overall survival despite intensive therapies, and relapsed patients are commonly refractory to treatment. The cellular populations that comprise NB are marked by different cohorts of mTFs and differential sensitivity to conventional therapies. Recent studies have highlighted mechanisms by which NB cells dynamically shift the cell state with treatment, revealing new opportunities to control the cellular response to treatment by manipulating cell-state-defining transcriptional programs. Here, we review recent advances in understanding transcriptionally defined cancer heterogeneity. We offer challenges to the field to encourage translation of basic science into clinical benefit.
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Affiliation(s)
- Noha A M Shendy
- Division of Molecular Oncology, Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Mark W Zimmerman
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Brian J Abraham
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Adam D Durbin
- Division of Molecular Oncology, Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, USA.
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26
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Jha A, Quesnel-Vallières M, Wang D, Thomas-Tikhonenko A, Lynch KW, Barash Y. Identifying common transcriptome signatures of cancer by interpreting deep learning models. Genome Biol 2022; 23:117. [PMID: 35581644 PMCID: PMC9112525 DOI: 10.1186/s13059-022-02681-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 04/27/2022] [Indexed: 01/01/2023] Open
Abstract
Background Cancer is a set of diseases characterized by unchecked cell proliferation and invasion of surrounding tissues. The many genes that have been genetically associated with cancer or shown to directly contribute to oncogenesis vary widely between tumor types, but common gene signatures that relate to core cancer pathways have also been identified. It is not clear, however, whether there exist additional sets of genes or transcriptomic features that are less well known in cancer biology but that are also commonly deregulated across several cancer types. Results Here, we agnostically identify transcriptomic features that are commonly shared between cancer types using 13,461 RNA-seq samples from 19 normal tissue types and 18 solid tumor types to train three feed-forward neural networks, based either on protein-coding gene expression, lncRNA expression, or splice junction use, to distinguish between normal and tumor samples. All three models recognize transcriptome signatures that are consistent across tumors. Analysis of attribution values extracted from our models reveals that genes that are commonly altered in cancer by expression or splicing variations are under strong evolutionary and selective constraints. Importantly, we find that genes composing our cancer transcriptome signatures are not frequently affected by mutations or genomic alterations and that their functions differ widely from the genes genetically associated with cancer. Conclusions Our results highlighted that deregulation of RNA-processing genes and aberrant splicing are pervasive features on which core cancer pathways might converge across a large array of solid tumor types. Supplementary Information The online version contains supplementary material available at (10.1186/s13059-022-02681-3).
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Affiliation(s)
- Anupama Jha
- Department of Computer and Information Science, School of Engineering and Applied Science, Philadelphia, USA.
| | - Mathieu Quesnel-Vallières
- Department of Genetics, Philadelphia, USA. .,Department of Biochemistry and Biophysics, Philadelphia, USA.
| | - David Wang
- Department of Genetics, Philadelphia, USA
| | - Andrei Thomas-Tikhonenko
- Department of Pathology and Laboratory Medicine, Philadelphia, USA.,Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA.,Division of Cancer Pathobiology, Children's Hospital of Philadelphia, Philadelphia, USA
| | - Kristen W Lynch
- Department of Biochemistry and Biophysics, Philadelphia, USA
| | - Yoseph Barash
- Department of Computer and Information Science, School of Engineering and Applied Science, Philadelphia, USA. .,Department of Genetics, Philadelphia, USA.
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Xiao W, Geng W, Zhou M, Xu J, Wang S, Huang Q, Sun Y, Li Y, Yang G, Jin Y. POU6F1 cooperates with RORA to suppress the proliferation of lung adenocarcinoma by downregulation HIF1A signaling pathway. Cell Death Dis 2022; 13:427. [PMID: 35504868 PMCID: PMC9065044 DOI: 10.1038/s41419-022-04857-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 04/08/2022] [Accepted: 04/13/2022] [Indexed: 12/14/2022]
Abstract
Lung adenocarcinoma (LUAD) represents the most frequently diagnosed histological subtype of non-small cell lung cancer with the highest mortality worldwide. Transcriptional dysregulation is a hallmark of nearly all kinds of cancers. In the study, we identified that the POU domain, class 6, transcription factor 1 (POU6F1), a member of the POU family of transcription factors, was closely associated with tumor stage and death in LUAD. We revealed that POU6F1 was downregulated in LUAD tissues and downregulated POU6F1 was predictive of an unfavorable prognosis in LUAD patients. In vitro assays, including CCK8, soft agar, transwell, clone formation, wound-healing assay, and nude mouse xenograft model all revealed that POU6F1 inhibited the growth and invasion of LUAD cells. Mechanistically, POU6F1 bound and stabilized retinoid-related orphan receptor alpha (RORA) to exert the transcriptional inhibition of hypoxia-inducible factor 1-alpha (HIF1A) and alter the expression of HIF1A signaling pathway-associated genes, including ENO1, PDK1, and PRKCB, thereby leading to the suppression of LUAD cells. Collectively, these results demonstrated the suppressive role of POU6F1/RORA in the progression of LUAD and may potentially be used as a target for the treatment of LUAD.
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Affiliation(s)
- Wenjing Xiao
- grid.33199.310000 0004 0368 7223Department of Respiratory and Critical Care Medicine, NHC Key Laboratory of Pulmonary Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022 Hubei China
| | - Wei Geng
- grid.33199.310000 0004 0368 7223Department of Respiratory and Critical Care Medicine, NHC Key Laboratory of Pulmonary Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022 Hubei China
| | - Mei Zhou
- grid.33199.310000 0004 0368 7223Department of Respiratory and Critical Care Medicine, NHC Key Laboratory of Pulmonary Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022 Hubei China
| | - Juanjuan Xu
- grid.33199.310000 0004 0368 7223Department of Respiratory and Critical Care Medicine, NHC Key Laboratory of Pulmonary Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022 Hubei China
| | - Sufei Wang
- grid.33199.310000 0004 0368 7223Department of Respiratory and Critical Care Medicine, NHC Key Laboratory of Pulmonary Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022 Hubei China
| | - Qi Huang
- grid.33199.310000 0004 0368 7223Department of Respiratory and Critical Care Medicine, NHC Key Laboratory of Pulmonary Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022 Hubei China
| | - Yice Sun
- grid.33199.310000 0004 0368 7223Department of Respiratory and Critical Care Medicine, NHC Key Laboratory of Pulmonary Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022 Hubei China
| | - Yumei Li
- grid.33199.310000 0004 0368 7223Department of Respiratory and Critical Care Medicine, NHC Key Laboratory of Pulmonary Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022 Hubei China
| | - Guanghai Yang
- grid.33199.310000 0004 0368 7223Department of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022 China
| | - Yang Jin
- grid.33199.310000 0004 0368 7223Department of Respiratory and Critical Care Medicine, NHC Key Laboratory of Pulmonary Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022 Hubei China
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A feedforward circuit between KLF5 and lncRNA KPRT4 contributes to basal-like breast cancer. Cancer Lett 2022; 534:215618. [PMID: 35259457 DOI: 10.1016/j.canlet.2022.215618] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 02/23/2022] [Accepted: 03/03/2022] [Indexed: 12/21/2022]
Abstract
Basal-like breast cancer (BLBC) is the most aggressive subtype of breast cancer with a poor prognosis. Long noncoding RNAs (lncRNAs) play critical roles in human cancers. Krüppel-like Factor 5 (KLF5) is a key oncogenic transcription factor in BLBC. However, the underlying mechanism of mutual regulation between KLF5 and lncRNA remains largely unknown. Here, we demonstrate that lncRNA KPRT4 promotes BLBC cell proliferation in vitro and in vivo. Mechanistically, KLF5 directly binds to the promoter of KPRT4 to promote KPRT4 transcription. Reciprocally, KPRT4 recruits the YB-1 transcription factor to the KLF5 promoter by interacting with YB-1 at its 5' domain and forming an RNA-DNA-DNA triplex structure at its 3' domain, resulting in enhanced transcription of KLF5 and ultimately establishing a feedforward circuit to promote cell proliferation. Moreover, the antisense oligonucleotide (ASO)-based therapy targeting KPRT4 substantially attenuated tumor growth in vivo. Clinically, the expression levels of YB-1, KLF5 and KPRT4 are positively correlated in clinical breast specimens. Together, our data suggest that KPRT4 is a major molecule for BLBC progression and that the feedforward circuit between KLF5 and KPRT4 may represent a potential therapeutic target in BLBC.
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Harada T, Heshmati Y, Kalfon J, Perez MW, Xavier Ferrucio J, Ewers J, Hubbell Engler B, Kossenkov A, Ellegast JM, Yi JS, Bowker A, Zhu Q, Eagle K, Liu T, Kai Y, Dempster JM, Kugener G, Wickramasinghe J, Herbert ZT, Li CH, Vrabič Koren J, Weinstock DM, Paralkar VR, Nabet B, Lin CY, Dharia NV, Stegmaier K, Orkin SH, Pimkin M. A distinct core regulatory module enforces oncogene expression in KMT2A-rearranged leukemia. Genes Dev 2022; 36:368-389. [PMID: 35301220 PMCID: PMC8973843 DOI: 10.1101/gad.349284.121] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 02/22/2022] [Indexed: 12/12/2022]
Abstract
In this study, Harada et al. identified the transcription factors MEF2D and IRF8 as selective transcriptional dependencies of KMT2A-rearranged AML, where MEF2D displays partially redundant functions with its paralog, MEF2C. This study illustrates a mechanism of context-specific transcriptional addiction whereby a specific AML subclass depends on a highly specialized core regulatory module to directly enforce expression of common leukemia oncogenes. Acute myeloid leukemia with KMT2A (MLL) rearrangements is characterized by specific patterns of gene expression and enhancer architecture, implying unique core transcriptional regulatory circuitry. Here, we identified the transcription factors MEF2D and IRF8 as selective transcriptional dependencies of KMT2A-rearranged AML, where MEF2D displays partially redundant functions with its paralog, MEF2C. Rapid transcription factor degradation followed by measurements of genome-wide transcription rates and superresolution microscopy revealed that MEF2D and IRF8 form a distinct core regulatory module with a narrow direct transcriptional program that includes activation of the key oncogenes MYC, HOXA9, and BCL2. Our study illustrates a mechanism of context-specific transcriptional addiction whereby a specific AML subclass depends on a highly specialized core regulatory module to directly enforce expression of common leukemia oncogenes.
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Affiliation(s)
- Taku Harada
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts 02215, USA
| | - Yaser Heshmati
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts 02215, USA
| | - Jérémie Kalfon
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts 02142, USA
| | - Monika W Perez
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts 02215, USA
| | - Juliana Xavier Ferrucio
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts 02215, USA
| | - Jazmin Ewers
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts 02215, USA
| | - Benjamin Hubbell Engler
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts 02215, USA
| | | | - Jana M Ellegast
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts 02215, USA.,Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts 02142, USA
| | - Joanna S Yi
- Baylor College of Medicine, Houston, Texas 77030, USA
| | - Allyson Bowker
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts 02215, USA
| | - Qian Zhu
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts 02215, USA
| | - Kenneth Eagle
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts 02215, USA.,Ken Eagle Consulting, Houston, Texas 77494, USA
| | - Tianxin Liu
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts 02215, USA
| | - Yan Kai
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts 02215, USA
| | - Joshua M Dempster
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts 02142, USA
| | - Guillaume Kugener
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts 02142, USA
| | | | - Zachary T Herbert
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts 02215, USA
| | - Charles H Li
- Whitehead Institute for Biomedical Research, Cambridge, Massachusetts 02142, USA.,Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA
| | | | - David M Weinstock
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts 02215, USA
| | - Vikram R Paralkar
- Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Behnam Nabet
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Charles Y Lin
- Baylor College of Medicine, Houston, Texas 77030, USA
| | - Neekesh V Dharia
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts 02215, USA.,Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts 02142, USA
| | - Kimberly Stegmaier
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts 02215, USA.,Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts 02142, USA
| | - Stuart H Orkin
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts 02215, USA.,Howard Hughes Medical Institute, Boston, Massachusetts 02215, USA
| | - Maxim Pimkin
- Cancer and Blood Disorders Center, Dana-Farber Cancer Institute and Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts 02215, USA.,Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts 02142, USA
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Lin L, Shi K, Zhou S, Cai MC, Zhang C, Sun Y, Zang J, Cheng L, Ye K, Ma P, Shen P, Zhang M, Cheng Y, Qi C, Li Y, Yin X, Zheng Y, Tan L, Zhuang G, Zang R. SOX17 and PAX8 constitute an actionable lineage-survival transcriptional complex in ovarian cancer. Oncogene 2022; 41:1767-1779. [DOI: 10.1038/s41388-022-02210-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Revised: 01/04/2022] [Accepted: 01/24/2022] [Indexed: 12/22/2022]
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Distinct properties of pure- and mixed-type high-grade fetal lung adenocarcinomas by genetic profiling and transcription factor expression. Virchows Arch 2021; 480:609-619. [PMID: 34846611 DOI: 10.1007/s00428-021-03247-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 11/10/2021] [Accepted: 11/24/2021] [Indexed: 10/19/2022]
Abstract
The clinicopathological differences among high-grade fetal lung adenocarcinomas completely comprising tumor cells that resemble fetal lung epithelium (pure type) and those with fetal lung-like components admixed with conventional adenocarcinoma cells (mixed type) remain undetermined. Here, we examined the clinicopathological, immunohistochemical, and molecular features of 11 lung adenocarcinomas with fetal lung-like morphology among 3895 consecutive cases of primary lung cancer based on the expression pattern of transcription factors. According to the current WHO classification, two cases (0.05%) were categorized as low-grade fetal adenocarcinoma, two cases (0.05%) were pure-type high-grade fetal adenocarcinoma, five cases (0.1%) were mixed-type high-grade fetal adenocarcinoma, and the remaining two cases (0.05%) were lung adenocarcinoma with high-grade fetal features (fetal lung-like morphology occupied less than 50%). CTNNB1 mutations were exclusively identified in low-grade fetal adenocarcinomas. In contrast, mixed-type high-grade fetal adenocarcinoma or lung adenocarcinoma with high-grade fetal features frequently harbored mitogenic drivers including EGFR mutations. Furthermore, almost all tumor cells expressed CDX2 and HNF4α in both cases of pure-type high-grade fetal lung adenocarcinoma, but lacked TTF-1 positivity. In contrast, TTF-1 was frequently expressed in mixed-type high-grade fetal lung adenocarcinoma and in lung adenocarcinoma with high-grade fetal features. Our data suggest similar prevalence of low-grade fetal lung adenocarcinoma and pure-type high-grade fetal lung adenocarcinoma, and indicate that pure- and mixed-type high-grade fetal lung adenocarcinomas are distinct, with the former akin to low-grade fetal adenocarcinoma with respect to purely embryonic morphology and absence of common lung adenocarcinoma mitogenic drivers, and the latter being genetically and transcriptionally related to conventional lung adenocarcinoma.
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Ciaccio R, De Rosa P, Aloisi S, Viggiano M, Cimadom L, Zadran SK, Perini G, Milazzo G. Targeting Oncogenic Transcriptional Networks in Neuroblastoma: From N-Myc to Epigenetic Drugs. Int J Mol Sci 2021; 22:12883. [PMID: 34884690 PMCID: PMC8657550 DOI: 10.3390/ijms222312883] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 11/25/2021] [Accepted: 11/26/2021] [Indexed: 12/13/2022] Open
Abstract
Neuroblastoma (NB) is one of the most frequently occurring neurogenic extracranial solid cancers in childhood and infancy. Over the years, many pieces of evidence suggested that NB development is controlled by gene expression dysregulation. These unleashed programs that outline NB cancer cells make them highly dependent on specific tuning of gene expression, which can act co-operatively to define the differentiation state, cell identity, and specialized functions. The peculiar regulation is mainly caused by genetic and epigenetic alterations, resulting in the dependency on a small set of key master transcriptional regulators as the convergence point of multiple signalling pathways. In this review, we provide a comprehensive blueprint of transcriptional regulation bearing NB initiation and progression, unveiling the complexity of novel oncogenic and tumour suppressive regulatory networks of this pathology. Furthermore, we underline the significance of multi-target therapies against these hallmarks, showing how novel approaches, together with chemotherapy, surgery, or radiotherapy, can have substantial antineoplastic effects, disrupting a wide variety of tumorigenic pathways through combinations of different treatments.
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Loss of synergistic transcriptional feedback loops drives diverse B-cell cancers. EBioMedicine 2021; 71:103559. [PMID: 34461601 PMCID: PMC8403728 DOI: 10.1016/j.ebiom.2021.103559] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 08/10/2021] [Accepted: 08/13/2021] [Indexed: 12/30/2022] Open
Abstract
Background The most common B-cell cancers, chronic lymphocytic leukemia/lymphoma (CLL), follicular and diffuse large B-cell (FL, DLBCL) lymphomas, have distinct clinical courses, yet overlapping “cell-of-origin”. Dynamic changes to the epigenome are essential regulators of B-cell differentiation. Therefore, we reasoned that these distinct cancers may be driven by shared mechanisms of disruption in transcriptional circuitry. Methods We compared purified malignant B-cells from 52 patients with normal B-cell subsets (germinal center centrocytes and centroblasts, naïve and memory B-cells) from 36 donor tonsils using >325 high-resolution molecular profiling assays for histone modifications, open chromatin (ChIP-, FAIRE-seq), transcriptome (RNA-seq), transcription factor (TF) binding, and genome copy number (microarrays). Findings From the resulting data, we identified gains in active chromatin in enhancers/super-enhancers that likely promote unchecked B-cell receptor signaling, including one we validated near the immunoglobulin superfamily receptors FCMR and PIGR. More striking and pervasive was the profound loss of key B-cell identity TFs, tumor suppressors and their super-enhancers, including EBF1, OCT2(POU2F2), and RUNX3. Using a novel approach to identify transcriptional feedback, we showed that these core transcriptional circuitries are self-regulating. Their selective gain and loss form a complex, iterative, and interactive process that likely curbs B-cell maturation and spurs proliferation. Interpretation Our study is the first to map the transcriptional circuitry of the most common blood cancers. We demonstrate that a critical subset of B-cell TFs and their cognate enhancers form self-regulatory transcriptional feedback loops whose disruption is a shared mechanism underlying these diverse subtypes of B-cell lymphoma. Funding National Institute of Health, Siteman Cancer Center, Barnes-Jewish Hospital Foundation, Doris Duke Foundation.
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Salinas-Jazmín N, Rosas-Cruz A, Velasco-Velázquez M. Reporter gene systems for the identification and characterization of cancer stem cells. World J Stem Cells 2021; 13:861-876. [PMID: 34367481 PMCID: PMC8316869 DOI: 10.4252/wjsc.v13.i7.861] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 04/19/2021] [Accepted: 07/05/2021] [Indexed: 02/06/2023] Open
Abstract
Cancer stem cells (CSCs) are tumor cells that share functional characteristics with normal and embryonic stem cells. CSCs have increased tumor-initiating capacity and metastatic potential and lower sensitivity to chemo- and radiotherapy, with important roles in tumor progression and the response to therapy. Thus, a current goal of cancer research is to eliminate CSCs, necessitating an adequate phenotypic and functional characterization of CSCs. Strategies have been developed to identify, enrich, and track CSCs, many of which distinguish CSCs by evaluating the expression of surface markers, the initiation of specific signaling pathways, and the activation of master transcription factors that control stemness in normal cells. We review and discuss the use of reporter gene systems for identifying CSCs. Reporters that are under the control of aldehyde dehydrogenase 1A1, CD133, Notch, Nanog homeobox, Sex-determining region Y-box 2, and POU class 5 homeobox can be used to identify CSCs in many tumor types, track cells in real time, and screen for drugs. Thus, reporter gene systems, in combination with in vitro and in vivo functional assays, can assess changes in the CSCs pool. We present relevant examples of these systems in the evaluation of experimental CSCs-targeting therapeutics, demonstrating their value in CSCs research.
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Affiliation(s)
- Nohemí Salinas-Jazmín
- Department of Pharmacology, School of Medicine, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico
| | - Arely Rosas-Cruz
- Department of Pharmacology, School of Medicine, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico
| | - Marco Velasco-Velázquez
- Department of Pharmacology, School of Medicine, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico.
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35
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Jiang Y, Jiang YY, Lin DC. Super-enhancer-mediated core regulatory circuitry in human cancer. Comput Struct Biotechnol J 2021; 19:2790-2795. [PMID: 34093993 PMCID: PMC8138668 DOI: 10.1016/j.csbj.2021.05.006] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 05/01/2021] [Accepted: 05/02/2021] [Indexed: 12/15/2022] Open
Abstract
Super-enhancers (SEs) are congregated enhancer clusters with high level of loading of transcription factors (TFs), cofactors and epigenetic modifications. Through direct co-occupancy at their own SEs as well as each other's, a small set of so called "master" TFs form interconnected core regulatory circuitry (CRCs) to orchestrate transcriptional programs in both normal and malignant cells. These master TFs can be predicted mathematically using epigenomic methods. In this Review, we summarize the identification of SEs and CRCs in cancer cells, the mechanisms by which master TFs and SEs cooperatively regulate cancer-type-specific expression programs, and the cancer-type- and subtype-specificity of CRC and the significance in cancer biology.
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Affiliation(s)
- Yuan Jiang
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
- Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230031, China
| | - Yan-Yi Jiang
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
- Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230031, China
- Corresponding authors at: Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China (Y.-Y. Jiang); Department of Medicine, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA 90048, USA (D.-C. Lin).
| | - De-Chen Lin
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- Corresponding authors at: Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China (Y.-Y. Jiang); Department of Medicine, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA 90048, USA (D.-C. Lin).
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Sherekar S, Viswanathan GA. Boolean dynamic modeling of cancer signaling networks: Prognosis, progression, and therapeutics. COMPUTATIONAL AND SYSTEMS ONCOLOGY 2021. [DOI: 10.1002/cso2.1017] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Affiliation(s)
- Shubhank Sherekar
- Department of Chemical Engineering Indian Institute of Technology Bombay, Powai Mumbai India
| | - Ganesh A. Viswanathan
- Department of Chemical Engineering Indian Institute of Technology Bombay, Powai Mumbai India
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Abudureheman T, Xia J, Li MH, Zhou H, Zheng WW, Zhou N, Shi RY, Zhu JM, Yang LT, Chen L, Zheng L, Xue K, Qing K, Duan CW. CDK7 Inhibitor THZ1 Induces the Cell Apoptosis of B-Cell Acute Lymphocytic Leukemia by Perturbing Cellular Metabolism. Front Oncol 2021; 11:663360. [PMID: 33889549 PMCID: PMC8056175 DOI: 10.3389/fonc.2021.663360] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 02/23/2021] [Indexed: 12/14/2022] Open
Abstract
B-cell acute lymphocytic leukemia (B-ALL) is a malignant blood cancer that develops in children and adults and leads to high mortality. THZ1, a covalent cyclin-dependent kinase 7 (CDK7) inhibitor, shows anti-tumor effects in various cancers by inhibiting cell proliferation and inducing apoptosis. However, whether THZ1 has an inhibitory effect on B-ALL cells and the underlying mechanism remains obscure. In this study, we showed that THZ1 arrested the cell cycle of B-ALL cells in vitro in a low concentration, while inducing the apoptosis of B-ALL cells in vitro in a high concentration by activating the apoptotic pathways. In addition, RNA-SEQ results revealed that THZ1 disrupted the cellular metabolic pathways of B-ALL cells. Moreover, THZ1 suppressed the cellular metabolism and blocked the production of cellular metabolic intermediates in B-ALL cells. Mechanistically, THZ1 inhibited the cellular metabolism of B-ALL by downregulating the expression of c-MYC-mediated metabolic enzymes. However, THZ1 treatment enhanced cell apoptosis in over-expressed c-MYC B-ALL cells, which was involved in the upregulation of p53 expression. Collectively, our data demonstrated that CDK7 inhibitor THZ1 induced the apoptosis of B-ALL cells by perturbing c-MYC-mediated cellular metabolism, thereby providing a novel treatment option for B-ALL.
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Affiliation(s)
- Tuersunayi Abudureheman
- Key Laboratory of Pediatric Hematology and Oncology Ministry of Health and Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jing Xia
- Key Laboratory of Pediatric Hematology and Oncology Ministry of Health and Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Department of Pathology, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
| | - Ming-Hao Li
- Key Laboratory of Pediatric Hematology and Oncology Ministry of Health and Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Blood Center, Shanghai, China
| | - Hang Zhou
- Key Laboratory of Pediatric Hematology and Oncology Ministry of Health and Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Department of Pharmacology and Chemical Biology, Shanghai Collaborative Innovation Center for Translational Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei-Wei Zheng
- Key Laboratory of Pediatric Hematology and Oncology Ministry of Health and Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Neng Zhou
- Key Laboratory of Pediatric Hematology and Oncology Ministry of Health and Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Rong-Yi Shi
- Key Laboratory of Pediatric Hematology and Oncology Ministry of Health and Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jian-Min Zhu
- Key Laboratory of Pediatric Hematology and Oncology Ministry of Health and Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Li-Ting Yang
- Key Laboratory of Pediatric Hematology and Oncology Ministry of Health and Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Li Chen
- Department of Hematology, Institute of Hematology, Changhai Hospital Affiliated to Navy Military Medical University, Shanghai, China
| | - Liang Zheng
- Key Laboratory of Pediatric Hematology and Oncology Ministry of Health and Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kai Xue
- State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Shanghai Institute of Hematology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kai Qing
- State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Shanghai Institute of Hematology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Cai-Wen Duan
- Key Laboratory of Pediatric Hematology and Oncology Ministry of Health and Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Department of Pathology, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.,Department of Pharmacology and Chemical Biology, Shanghai Collaborative Innovation Center for Translational Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Xu L, Chen Y, Huang Y, Sandanaraj E, Yu JS, Lin RYT, Dakle P, Ke XY, Chong YK, Koh L, Mayakonda A, Nacro K, Hill J, Huang ML, Gery S, Lim SW, Huang Z, Xu Y, Chen J, Bai L, Wang S, Wakimoto H, Yeo TT, Ang BT, Müschen M, Tang C, Tan TZ, Koeffler HP. Topography of transcriptionally active chromatin in glioblastoma. SCIENCE ADVANCES 2021; 7:7/18/eabd4676. [PMID: 33931443 PMCID: PMC8087410 DOI: 10.1126/sciadv.abd4676] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 03/08/2021] [Indexed: 05/07/2023]
Abstract
Molecular profiling of the most aggressive brain tumor glioblastoma (GBM) on the basis of gene expression, DNA methylation, and genomic variations advances both cancer research and clinical diagnosis. The enhancer architectures and regulatory circuitries governing tumor-intrinsic transcriptional diversity and subtype identity are still elusive. Here, by mapping H3K27ac deposition, we analyze the active regulatory landscapes across 95 GBM biopsies, 12 normal brain tissues, and 38 cell line counterparts. Analyses of differentially regulated enhancers and super-enhancers uncovered previously unrecognized layers of intertumor heterogeneity. Integrative analysis of variant enhancer loci and transcriptome identified topographies of transcriptional enhancers and core regulatory circuitries in four molecular subtypes of primary tumors: AC1-mesenchymal, AC1-classical, AC2-proneural, and AC3-proneural. Moreover, this study reveals core oncogenic dependency on super-enhancer-driven transcriptional factors, long noncoding RNAs, and druggable targets in GBM. Through profiling of transcriptional enhancers, we provide clinically relevant insights into molecular classification, pathogenesis, and therapeutic intervention of GBM.
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Affiliation(s)
- Liang Xu
- Cancer Science Institute of Singapore, National University of Singapore, 117599, Singapore.
- College of Life Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Ye Chen
- Cancer Science Institute of Singapore, National University of Singapore, 117599, Singapore.
| | - Yulun Huang
- Department of Neurosurgery, Dushu Lake Hospital Affiliated of Soochow University, Suzhou, 215124, China
- Department of Neurosurgery, Medical Center of Soochow University, Suzhou, 215124, China
- Department of Neurosurgery, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China
| | - Edwin Sandanaraj
- Department of Research, National Neuroscience Institute, 308433, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, 117609, Singapore
| | - John S Yu
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Ruby Yu-Tong Lin
- Cancer Science Institute of Singapore, National University of Singapore, 117599, Singapore
| | - Pushkar Dakle
- Cancer Science Institute of Singapore, National University of Singapore, 117599, Singapore
| | - Xin-Yu Ke
- Cancer Science Institute of Singapore, National University of Singapore, 117599, Singapore
| | - Yuk Kien Chong
- Department of Research, National Neuroscience Institute, 308433, Singapore
| | - Lynnette Koh
- Department of Research, National Neuroscience Institute, 308433, Singapore
- School of Biological Sciences, Nanyang Technological University, 637551, Singapore
| | - Anand Mayakonda
- Cancer Science Institute of Singapore, National University of Singapore, 117599, Singapore
| | - Kassoum Nacro
- Experimental Drug Development Centre, Agency for Science, Technology and Research, 138670, Singapore
| | - Jeffrey Hill
- Sussex Drug Discovery Centre, School of Life Sciences, University of Sussex, Brighton BN1 9QJ, UK
| | - Mo-Li Huang
- Cancer Science Institute of Singapore, National University of Singapore, 117599, Singapore
- School of Biology and Basic Medical Sciences, Soochow University, Suzhou, 215123, China
| | - Sigal Gery
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - See Wee Lim
- Department of Research, National Neuroscience Institute, 308433, Singapore
| | - Zhengyun Huang
- Cambridge-Suda Genomic Research Center, Soochow University, Suzhou, 215123, China
| | - Ying Xu
- Cambridge-Suda Genomic Research Center, Soochow University, Suzhou, 215123, China
| | - Jianxiang Chen
- College of Pharmacy, School of Medicine, Hangzhou Normal University, Hangzhou, 311121, China
- Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, 311121, China
- Department of Hepatology, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, 310015, China
| | - Longchuan Bai
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA
- Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA
| | - Shaomeng Wang
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA
- Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Pharmacology, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Medicinal Chemistry, University of Michigan, Ann Arbor, MI 48109, USA
| | - Hiroaki Wakimoto
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Tseng Tsai Yeo
- National University Cancer Institute, National University Hospital, 119074, Singapore
| | - Beng Ti Ang
- Department of Neurosurgery, National Neuroscience Institute, 308433, Singapore
- Duke-National University of Singapore Medical School, 169857, Singapore
| | - Markus Müschen
- Center of Molecular and Cellular Oncology, Yale Cancer Center, Yale School of Medicine, New Haven, CT 06511, USA
- Department of Immunobiology, Yale University, New Haven, CT 06511, USA
| | - Carol Tang
- Department of Research, National Neuroscience Institute, 308433, Singapore
- School of Biological Sciences, Nanyang Technological University, 637551, Singapore
- Cancer and Stem Cell Biology Program, Duke-National University of Singapore Medical School, 169857, Singapore
| | - Tuan Zea Tan
- Cancer Science Institute of Singapore, National University of Singapore, 117599, Singapore.
| | - H Phillip Koeffler
- Cancer Science Institute of Singapore, National University of Singapore, 117599, Singapore
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- National University Cancer Institute, National University Hospital, 119074, Singapore
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Fang Y, Zekiy AO, Ghaedrahmati F, Timoshin A, Farzaneh M, Anbiyaiee A, Khoshnam SE. Tribbles homolog 2 (Trib2), a pseudo serine/threonine kinase in tumorigenesis and stem cell fate decisions. Cell Commun Signal 2021; 19:41. [PMID: 33794905 PMCID: PMC8015142 DOI: 10.1186/s12964-021-00725-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 02/16/2021] [Indexed: 02/08/2023] Open
Abstract
The family of Tribbles proteins play many critical nonenzymatic roles and regulate a wide range of key signaling pathways. Tribbles homolog 2 (Trib2) is a pseudo serine/threonine kinase that functions as a scaffold or adaptor in various physiological and pathological processes. Trib2 can interact with E3 ubiquitin ligases and control protein stability of downstream effectors. This protein is induced by mitogens and enhances the propagation of several cancer cells, including myeloid leukemia, liver, lung, skin, bone, brain, and pancreatic. Thus, Trib2 can be a predictive and valuable biomarker for the diagnosis and treatment of cancer. Recent studies have illustrated that Trib2 plays a major role in cell fate determination of stem cells. Stem cells have the capacity to self-renew and differentiate into specific cell types. Stem cells are important sources for cell-based regenerative medicine and drug screening. Trib2 has been found to increase the self-renewal ability of embryonic stem cells, the reprogramming efficiency of somatic cells, and chondrogenesis. In this review, we will focus on the recent advances of Trib2 function in tumorigenesis and stem cell fate decisions. Video abstract
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Affiliation(s)
- Yu Fang
- Anyang Center for Chemical and Pharmaceutical Engineering, College of Chemistry and Chemical Engineering, Anyang Normal University, Anyang, 455000, Henan, People's Republic of China. .,Key Laboratory of New Opto-Electronic Functional Materials of Henan Province, College of Chemistry and Chemical Engineering, Anyang Normal University, Anyang, 455000, Henan, People's Republic of China.
| | - Angelina Olegovna Zekiy
- Department of Prosthetic Dentistry, Sechenov First Moscow State Medical University, Moscow, Russia
| | - Farhoodeh Ghaedrahmati
- Department of Immunology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | | | - Maryam Farzaneh
- Fertility, Infertility and Perinatology Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Amir Anbiyaiee
- Department of Surgery, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, 61357-15794, Ahvaz, Iran
| | - Seyed Esmaeil Khoshnam
- Persian Gulf Physiology Research Center, Medical Basic Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
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