1
|
Mattson NM, Chan AKN, Miyashita K, Mukhaleva E, Chang WH, Yang L, Ma N, Wang Y, Pokharel SP, Li M, Liu Q, Xu X, Chen R, Singh P, Zhang L, Elsayed Z, Chen B, Keen D, Pirrotte P, Rosen ST, Chen J, LaBarge MA, Shively JE, Vaidehi N, Rockne RC, Feng M, Chen CW. A novel class of inhibitors that disrupts the stability of integrin heterodimers identified by CRISPR-tiling-instructed genetic screens. Nat Struct Mol Biol 2024; 31:465-475. [PMID: 38316881 PMCID: PMC10948361 DOI: 10.1038/s41594-024-01211-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 01/02/2024] [Indexed: 02/07/2024]
Abstract
The plasma membrane is enriched for receptors and signaling proteins that are accessible from the extracellular space for pharmacological intervention. Here we conducted a series of CRISPR screens using human cell surface proteome and integrin family libraries in multiple cancer models. Our results identified ITGAV (integrin αV) and its heterodimer partner ITGB5 (integrin β5) as the essential integrin α/β pair for cancer cell expansion. High-density CRISPR gene tiling further pinpointed the integral pocket within the β-propeller domain of ITGAV for integrin αVβ5 dimerization. Combined with in silico compound docking, we developed a CRISPR-Tiling-Instructed Computer-Aided (CRISPR-TICA) pipeline for drug discovery and identified Cpd_AV2 as a lead inhibitor targeting the β-propeller central pocket of ITGAV. Cpd_AV2 treatment led to rapid uncoupling of integrin αVβ5 and cellular apoptosis, providing a unique class of therapeutic action that eliminates the integrin signaling via heterodimer dissociation. We also foresee the CRISPR-TICA approach to be an accessible method for future drug discovery studies.
Collapse
Affiliation(s)
- Nicole M Mattson
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Anthony K N Chan
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
- Division of Epigenetic and Transcriptional Engineering, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Kazuya Miyashita
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Elizaveta Mukhaleva
- Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Wen-Han Chang
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Lu Yang
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
- Division of Epigenetic and Transcriptional Engineering, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Ning Ma
- Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Yingyu Wang
- Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Sheela Pangeni Pokharel
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
- Division of Epigenetic and Transcriptional Engineering, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Mingli Li
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Qiao Liu
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Xiaobao Xu
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Renee Chen
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Priyanka Singh
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Leisi Zhang
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Zeinab Elsayed
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Bryan Chen
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Denise Keen
- City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Patrick Pirrotte
- Integrated Mass Spectrometry Shared Resource, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
- Cancer and Cell Biology Division, Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Steven T Rosen
- City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Jianjun Chen
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
- City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Mark A LaBarge
- City of Hope Comprehensive Cancer Center, Duarte, CA, USA
- Department of Population Sciences, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - John E Shively
- City of Hope Comprehensive Cancer Center, Duarte, CA, USA
- Department of Immunology and Theranostics, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Nagarajan Vaidehi
- Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope, Duarte, CA, USA
- City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Russell C Rockne
- Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope, Duarte, CA, USA
- City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Mingye Feng
- City of Hope Comprehensive Cancer Center, Duarte, CA, USA
- Department of Immuno-Oncology, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Chun-Wei Chen
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA.
- Division of Epigenetic and Transcriptional Engineering, Beckman Research Institute, City of Hope, Duarte, CA, USA.
- City of Hope Comprehensive Cancer Center, Duarte, CA, USA.
| |
Collapse
|
2
|
Chan AK, Han L, Delaney CD, Wang X, Mukhaleva E, Li M, Yang L, Pokharel SP, Mattson N, Garcia M, Wang B, Xu X, Zhang L, Singh P, Elsayed Z, Chen R, Kuang B, Wang J, Yuan YC, Chen B, Chan LN, Rosen ST, Horne D, Müschen M, Chen J, Vaidehi N, Armstrong SA, Su R, Chen CW. Therapeutic targeting Tudor domains in leukemia via CRISPR-Scan Assisted Drug Discovery. Sci Adv 2024; 10:eadk3127. [PMID: 38394203 PMCID: PMC10889360 DOI: 10.1126/sciadv.adk3127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 01/22/2024] [Indexed: 02/25/2024]
Abstract
Epigenetic dysregulation has been reported in multiple cancers including leukemias. Nonetheless, the roles of the epigenetic reader Tudor domains in leukemia progression and therapy remain unexplored. Here, we conducted a Tudor domain-focused CRISPR screen and identified SGF29, a component of SAGA/ATAC acetyltransferase complexes, as a crucial factor for H3K9 acetylation, ribosomal gene expression, and leukemogenesis. To facilitate drug development, we integrated the CRISPR tiling scan with compound docking and molecular dynamics simulation, presenting a generally applicable strategy called CRISPR-Scan Assisted Drug Discovery (CRISPR-SADD). Using this approach, we identified a lead inhibitor that selectively targets SGF29's Tudor domain and demonstrates efficacy against leukemia. Furthermore, we propose that the structural genetics approach used in our study can be widely applied to diverse fields for de novo drug discovery.
Collapse
Affiliation(s)
- Anthony K.N. Chan
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
- Division of Epigenetic and Transcriptional Engineering, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Li Han
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
- School of Pharmacy, China Medical University, Shenyang, Liaoning, China
| | - Christopher D. Delaney
- Duke University School of Medicine, Durham, NC, USA
- Department of Pediatrics, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Xueer Wang
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Elizaveta Mukhaleva
- Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Mingli Li
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Lu Yang
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
- Division of Epigenetic and Transcriptional Engineering, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Sheela Pangeni Pokharel
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
- Division of Epigenetic and Transcriptional Engineering, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Nicole Mattson
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Michelle Garcia
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
- Department of Chemistry, Dartmouth College, Hanover, NH, USA
| | - Bintao Wang
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Xiaobao Xu
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Leisi Zhang
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Priyanka Singh
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Zeinab Elsayed
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Renee Chen
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Benjamin Kuang
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Jinhui Wang
- City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Yate-Ching Yuan
- Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Bryan Chen
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Lai N. Chan
- Center of Molecular and Cellular Oncology, Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
- Department of Cancer Biology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | | | - David Horne
- City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Markus Müschen
- Center of Molecular and Cellular Oncology, Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
| | - Jianjun Chen
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
- City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Nagarajan Vaidehi
- Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope, Duarte, CA, USA
- City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Scott A. Armstrong
- Department of Pediatrics, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Rui Su
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
- City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Chun-Wei Chen
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA
- Division of Epigenetic and Transcriptional Engineering, Beckman Research Institute, City of Hope, Duarte, CA, USA
- City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| |
Collapse
|
3
|
Xue M, Dong L, Zhang H, Li Y, Qiu K, Zhao Z, Gao M, Han L, Chan AKN, Li W, Leung K, Wang K, Pokharel SP, Qing Y, Liu W, Wang X, Ren L, Bi H, Yang L, Shen C, Chen Z, Melstrom L, Li H, Timchenko N, Deng X, Huang W, Rosen ST, Tian J, Xu L, Diao J, Chen CW, Chen J, Shen B, Chen H, Su R. METTL16 promotes liver cancer stem cell self-renewal via controlling ribosome biogenesis and mRNA translation. J Hematol Oncol 2024; 17:7. [PMID: 38302992 PMCID: PMC10835888 DOI: 10.1186/s13045-024-01526-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 01/20/2024] [Indexed: 02/03/2024] Open
Abstract
BACKGROUND While liver cancer stem cells (CSCs) play a crucial role in hepatocellular carcinoma (HCC) initiation, progression, recurrence, and treatment resistance, the mechanism underlying liver CSC self-renewal remains elusive. We aim to characterize the role of Methyltransferase 16 (METTL16), a recently identified RNA N6-methyladenosine (m6A) methyltransferase, in HCC development/maintenance, CSC stemness, as well as normal hepatogenesis. METHODS Liver-specific Mettl16 conditional KO (cKO) mice were generated to assess its role in HCC pathogenesis and normal hepatogenesis. Hydrodynamic tail-vein injection (HDTVi)-induced de novo hepatocarcinogenesis and xenograft models were utilized to determine the role of METTL16 in HCC initiation and progression. A limiting dilution assay was utilized to evaluate CSC frequency. Functionally essential targets were revealed via integrative analysis of multi-omics data, including RNA-seq, RNA immunoprecipitation (RIP)-seq, and ribosome profiling. RESULTS METTL16 is highly expressed in liver CSCs and its depletion dramatically decreased CSC frequency in vitro and in vivo. Mettl16 KO significantly attenuated HCC initiation and progression, yet only slightly influenced normal hepatogenesis. Mechanistic studies, including high-throughput sequencing, unveiled METTL16 as a key regulator of ribosomal RNA (rRNA) maturation and mRNA translation and identified eukaryotic translation initiation factor 3 subunit a (eIF3a) transcript as a bona-fide target of METTL16 in HCC. In addition, the functionally essential regions of METTL16 were revealed by CRISPR gene tiling scan, which will pave the way for the development of potential inhibitor(s). CONCLUSIONS Our findings highlight the crucial oncogenic role of METTL16 in promoting HCC pathogenesis and enhancing liver CSC self-renewal through augmenting mRNA translation efficiency.
Collapse
Affiliation(s)
- Meilin Xue
- Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
- Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Lei Dong
- Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
- Quantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, Dallas, TX, 7539, USA
| | - Honghai Zhang
- Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
| | - Yangchan Li
- Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
- Department of Radiation Oncology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China
| | - Kangqiang Qiu
- Department of Cancer Biology, University of Cincinnati College of Medicine, Cincinnati, OH, 45267, USA
| | - Zhicong Zhao
- Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
- Department of Liver Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Min Gao
- Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
| | - Li Han
- Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
- School of Pharmacy, China Medical University, Shenyang, 110001, Liaoning, China
| | - Anthony K N Chan
- Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
| | - Wei Li
- Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
| | - Keith Leung
- Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
| | - Kitty Wang
- Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
| | - Sheela Pangeni Pokharel
- Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
| | - Ying Qing
- Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
| | - Wei Liu
- Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
| | - Xueer Wang
- Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
| | - Lili Ren
- Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
| | - Hongjie Bi
- Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
| | - Lu Yang
- Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
| | - Chao Shen
- Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
| | - Zhenhua Chen
- Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
| | - Laleh Melstrom
- Division of Surgical Oncology, Department of Surgery, Beckman Research Institute of City of Hope Comprehensive Cancer Center, Duarte, CA, 91010, USA
| | - Hongzhi Li
- Department of Molecular Medicine, City of Hope National Medical Center, Duarte, CA, 91016, USA
| | - Nikolai Timchenko
- Division of General and Thoracic Surgery, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA
| | - Xiaolan Deng
- Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
| | - Wendong Huang
- Department of Diabetes Complications and Metabolism, Diabetes and Metabolism Research Institute, Beckman Research Institute of City of Hope, Duarte, CA, 91010, USA
- Graduate School of Biological Science, City of Hope, Duarte, CA, 91010, USA
| | - Steven T Rosen
- City of Hope Comprehensive Cancer Center, City of Hope, Duarte, CA, 91010, USA
| | - Jingyan Tian
- State Key Laboratory of Medical Genomics, Clinical Trial Center, Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrinology and Metabolism, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Lin Xu
- Quantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, Dallas, TX, 7539, USA
| | - Jiajie Diao
- Department of Cancer Biology, University of Cincinnati College of Medicine, Cincinnati, OH, 45267, USA
| | - Chun-Wei Chen
- Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
- City of Hope Comprehensive Cancer Center, City of Hope, Duarte, CA, 91010, USA
| | - Jianjun Chen
- Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
- City of Hope Comprehensive Cancer Center, City of Hope, Duarte, CA, 91010, USA
- Gehr Family Center for Leukemia Research, City of Hope, Duarte, CA, 91010, USA
| | - Baiyong Shen
- Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Hao Chen
- Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Rui Su
- Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA.
- City of Hope Comprehensive Cancer Center, City of Hope, Duarte, CA, 91010, USA.
| |
Collapse
|
4
|
Li M, Zhang L, Chen CW. Diverse Roles of Protein Palmitoylation in Cancer Progression, Immunity, Stemness, and Beyond. Cells 2023; 12:2209. [PMID: 37759431 PMCID: PMC10526800 DOI: 10.3390/cells12182209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 08/27/2023] [Accepted: 09/04/2023] [Indexed: 09/29/2023] Open
Abstract
Protein S-palmitoylation, a type of post-translational modification, refers to the reversible process of attachment of a fatty acyl chain-a 16-carbon palmitate acid-to the specific cysteine residues on target proteins. By adding the lipid chain to proteins, it increases the hydrophobicity of proteins and modulates protein stability, interaction with effector proteins, subcellular localization, and membrane trafficking. Palmitoylation is catalyzed by a group of zinc finger DHHC-containing proteins (ZDHHCs), whereas depalmitoylation is catalyzed by a family of acyl-protein thioesterases. Increasing numbers of oncoproteins and tumor suppressors have been identified to be palmitoylated, and palmitoylation is essential for their functions. Understanding how palmitoylation influences the function of individual proteins, the physiological roles of palmitoylation, and how dysregulated palmitoylation leads to pathological consequences are important drivers of current research in this research field. Further, due to the critical roles in modifying functions of oncoproteins and tumor suppressors, targeting palmitoylation has been used as a candidate therapeutic strategy for cancer treatment. Here, based on recent literatures, we discuss the progress of investigating roles of palmitoylation in regulating cancer progression, immune responses against cancer, and cancer stem cell properties.
Collapse
Affiliation(s)
- Mingli Li
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA 91010, USA;
| | - Leisi Zhang
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA 91010, USA;
| | - Chun-Wei Chen
- Department of Systems Biology, Beckman Research Institute, City of Hope, Duarte, CA 91010, USA;
- City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA
| |
Collapse
|
5
|
Li M, Yang L, Chan AKN, Pokharel SP, Liu Q, Mattson N, Xu X, Chang W, Miyashita K, Singh P, Zhang L, Li M, Wu J, Wang J, Chen B, Chan LN, Lee J, Zhang XH, Rosen ST, Müschen M, Qi J, Chen J, Hiom K, Bishop AJR, Chen C. Epigenetic Control of Translation Checkpoint and Tumor Progression via RUVBL1-EEF1A1 Axis. Adv Sci (Weinh) 2023; 10:e2206584. [PMID: 37075745 PMCID: PMC10265057 DOI: 10.1002/advs.202206584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 02/23/2023] [Indexed: 05/03/2023]
Abstract
Epigenetic dysregulation is reported in multiple cancers including Ewing sarcoma (EwS). However, the epigenetic networks underlying the maintenance of oncogenic signaling and therapeutic response remain unclear. Using a series of epigenetics- and complex-focused CRISPR screens, RUVBL1, the ATPase component of NuA4 histone acetyltransferase complex, is identified to be essential for EwS tumor progression. Suppression of RUVBL1 leads to attenuated tumor growth, loss of histone H4 acetylation, and ablated MYC signaling. Mechanistically, RUVBL1 controls MYC chromatin binding and modulates the MYC-driven EEF1A1 expression and thus protein synthesis. High-density CRISPR gene body scan pinpoints the critical MYC interacting residue in RUVBL1. Finally, this study reveals the synergism between RUVBL1 suppression and pharmacological inhibition of MYC in EwS xenografts and patient-derived samples. These results indicate that the dynamic interplay between chromatin remodelers, oncogenic transcription factors, and protein translation machinery can provide novel opportunities for combination cancer therapy.
Collapse
Affiliation(s)
- Mingli Li
- Department of Systems BiologyBeckman Research InstituteCity of Hope Comprehensive Cancer CenterDuarteCA91010USA
| | - Lu Yang
- Department of Systems BiologyBeckman Research InstituteCity of Hope Comprehensive Cancer CenterDuarteCA91010USA
- Division of Epigenetic and Transcriptional EngineeringBeckman Research InstituteCity of Hope Comprehensive Cancer CenterDuarteCA91010USA
| | - Anthony K. N. Chan
- Department of Systems BiologyBeckman Research InstituteCity of Hope Comprehensive Cancer CenterDuarteCA91010USA
- Division of Epigenetic and Transcriptional EngineeringBeckman Research InstituteCity of Hope Comprehensive Cancer CenterDuarteCA91010USA
| | - Sheela Pangeni Pokharel
- Department of Systems BiologyBeckman Research InstituteCity of Hope Comprehensive Cancer CenterDuarteCA91010USA
- Division of Epigenetic and Transcriptional EngineeringBeckman Research InstituteCity of Hope Comprehensive Cancer CenterDuarteCA91010USA
| | - Qiao Liu
- Department of Systems BiologyBeckman Research InstituteCity of Hope Comprehensive Cancer CenterDuarteCA91010USA
| | - Nicole Mattson
- Department of Systems BiologyBeckman Research InstituteCity of Hope Comprehensive Cancer CenterDuarteCA91010USA
| | - Xiaobao Xu
- Department of Systems BiologyBeckman Research InstituteCity of Hope Comprehensive Cancer CenterDuarteCA91010USA
| | - Wen‐Han Chang
- Department of Systems BiologyBeckman Research InstituteCity of Hope Comprehensive Cancer CenterDuarteCA91010USA
| | - Kazuya Miyashita
- Department of Systems BiologyBeckman Research InstituteCity of Hope Comprehensive Cancer CenterDuarteCA91010USA
| | - Priyanka Singh
- Department of Systems BiologyBeckman Research InstituteCity of Hope Comprehensive Cancer CenterDuarteCA91010USA
| | - Leisi Zhang
- Department of Systems BiologyBeckman Research InstituteCity of Hope Comprehensive Cancer CenterDuarteCA91010USA
| | - Maggie Li
- Department of Systems BiologyBeckman Research InstituteCity of Hope Comprehensive Cancer CenterDuarteCA91010USA
| | - Jun Wu
- City of Hope Comprehensive Cancer CenterDuarteCA91010USA
| | - Jinhui Wang
- City of Hope Comprehensive Cancer CenterDuarteCA91010USA
| | - Bryan Chen
- Department of Systems BiologyBeckman Research InstituteCity of Hope Comprehensive Cancer CenterDuarteCA91010USA
| | - Lai N. Chan
- Center of Molecular and Cellular OncologyYale Cancer CenterYale School of MedicineNew HavenCT06510USA
- Department of Cancer BiologyLerner Research InstituteCleveland ClinicClevelandOH44195USA
| | - Jaewoong Lee
- Center of Molecular and Cellular OncologyYale Cancer CenterYale School of MedicineNew HavenCT06510USA
- School of Biosystems and Biomedical SciencesCollege of Health ScienceKorea UniversitySeoul02841South Korea
- Interdisciplinary Program in Precision Public HealthKorea UniversitySeoul02841South Korea
| | | | | | - Markus Müschen
- Center of Molecular and Cellular OncologyYale Cancer CenterYale School of MedicineNew HavenCT06510USA
| | - Jun Qi
- Department of Cancer BiologyDana‐Farber Cancer InstituteHarvard Medical SchoolBostonMA02215USA
| | - Jianjun Chen
- Department of Systems BiologyBeckman Research InstituteCity of Hope Comprehensive Cancer CenterDuarteCA91010USA
- City of Hope Comprehensive Cancer CenterDuarteCA91010USA
| | - Kevin Hiom
- Division of Cellular MedicineSchool of MedicineUniversity of DundeeNethergateDundeeDD1 4HNUK
| | - Alexander J. R. Bishop
- Department of Cellular Systems and AnatomyUniversity of Texas Health Science Center at San AntonioSan AntonioTX78229USA
- Greehey Children's Cancer Research InstituteUniversity of Texas Health Science Center at San AntonioSan AntonioTX78229USA
| | - Chun‐Wei Chen
- Department of Systems BiologyBeckman Research InstituteCity of Hope Comprehensive Cancer CenterDuarteCA91010USA
- Division of Epigenetic and Transcriptional EngineeringBeckman Research InstituteCity of Hope Comprehensive Cancer CenterDuarteCA91010USA
- City of Hope Comprehensive Cancer CenterDuarteCA91010USA
| |
Collapse
|
6
|
Liu R, Liu Y, Zhang F, Wei J, Wu L. A cuproptosis random forest cox score model-based evaluation of prognosis, mutation characterization, immune infiltration, and drug sensitivity in hepatocellular carcinoma. Front Immunol 2023; 14:1146411. [PMID: 37063920 PMCID: PMC10098017 DOI: 10.3389/fimmu.2023.1146411] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 03/20/2023] [Indexed: 04/18/2023] Open
Abstract
Background Hepatocellular carcinoma is the third most deadly malignant tumor in the world with a poor prognosis. Although immunotherapy represents a promising therapeutic approach for HCC, the overall response rate of HCC patients to immunotherapy is less than 30%. Therefore, it is of great significance to explore prognostic factors and investigate the associated tumor immune microenvironment features. Methods By analyzing RNA-seq data of the TCGA-LIHC cohort, the set of cuproptosis related genes was extracted via correlation analysis as a generalization feature. Then, a random forest cox prognostic model was constructed and the cuproptosis random forest cox score was built by random forest feature filtering and univariate multivariate cox regression analysis. Subsequently, the prognosis prediction of CRFCS was evaluated via analyzing data of independent cohorts from GEO and ICGC by using KM and ROC methods. Moreover, mutation characterization, immune cell infiltration, immune evasion, and drug sensitivity of CRFCS in HCC were assessed. Results A cuproptosis random forest cox score was built based on a generalization feature of four cuproptosis related genes. Patients in the high CRFCS group exhibited a lower overall survival. Univariate multivariate Cox regression analysis validated CRFCS as an independent prognostic indicator. ROC analysis revealed that CRFCS was a good predictor of HCC (AUC =0.82). Mutation analysis manifested that microsatellite instability (MSI) was significantly increased in the high CRFCS group. Meanwhile, tumor microenvironment analysis showed that the high CRFCS group displayed much more immune cell infiltration compared with the low CRFCS group. The immune escape assessment analysis demonstrated that the high CRFCS group displayed a decreased TIDE score indicating a lower immune escape probability in the high CRFCS group compared with the low CRFCS group. Interestingly, immune checkpoints were highly expressed in the high CRFCS group. Drug sensitivity analysis revealed that HCC patients from the high CRFCS group had a lower IC50 of sorafenib than that from the low CRFCS group. Conclusions In this study, we constructed a cuproptosis random forest cox score (CRFCS) model. CRFCS was revealed to be a potential independent prognostic indicator of HCC and high CRFCS samples showed a poor prognosis. Interestingly, CRFCS were correlated with TME characteristics as well as clinical treatment efficacy. Importantly, compared with the low CRFCS group, the high CRFCS group may benefit from immunotherapy and sorafenib treatment.
Collapse
Affiliation(s)
- Ruiqi Liu
- School of Medicine, Guangxi University, Nanning, China
| | - Yingyi Liu
- School of Medicine, Guangxi University, Nanning, China
| | - Fengyue Zhang
- School of Medicine, Guangxi University, Nanning, China
| | - Jinrui Wei
- Guangxi Scientific Research Center of Traditional Chinese Medicine, Guangxi University of Chinese Medicine, Nanning, Guangxi, China
- *Correspondence: Lichuan Wu, ; Jinrui Wei,
| | - Lichuan Wu
- School of Medicine, Guangxi University, Nanning, China
- *Correspondence: Lichuan Wu, ; Jinrui Wei,
| |
Collapse
|