1
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Feng Q, Li Q, Zhou H, Wang Z, Lin C, Jiang Z, Liu T, Wang D. CRISPR technology in human diseases. MedComm (Beijing) 2024; 5:e672. [PMID: 39081515 PMCID: PMC11286548 DOI: 10.1002/mco2.672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Revised: 07/01/2024] [Accepted: 07/01/2024] [Indexed: 08/02/2024] Open
Abstract
Gene editing is a growing gene engineering technique that allows accurate editing of a broad spectrum of gene-regulated diseases to achieve curative treatment and also has the potential to be used as an adjunct to the conventional treatment of diseases. Gene editing technology, mainly based on clustered regularly interspaced palindromic repeats (CRISPR)-CRISPR-associated protein systems, which is capable of generating genetic modifications in somatic cells, provides a promising new strategy for gene therapy for a wide range of human diseases. Currently, gene editing technology shows great application prospects in a variety of human diseases, not only in therapeutic potential but also in the construction of animal models of human diseases. This paper describes the application of gene editing technology in hematological diseases, solid tumors, immune disorders, ophthalmological diseases, and metabolic diseases; focuses on the therapeutic strategies of gene editing technology in sickle cell disease; provides an overview of the role of gene editing technology in the construction of animal models of human diseases; and discusses the limitations of gene editing technology in the treatment of diseases, which is intended to provide an important reference for the applications of gene editing technology in the human disease.
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Affiliation(s)
- Qiang Feng
- Laboratory Animal CenterCollege of Animal ScienceJilin UniversityChangchunChina
- Research and Development CentreBaicheng Medical CollegeBaichengChina
| | - Qirong Li
- Laboratory Animal CenterCollege of Animal ScienceJilin UniversityChangchunChina
| | - Hengzong Zhou
- Laboratory Animal CenterCollege of Animal ScienceJilin UniversityChangchunChina
| | - Zhan Wang
- Laboratory Animal CenterCollege of Animal ScienceJilin UniversityChangchunChina
| | - Chao Lin
- School of Grain Science and TechnologyJilin Business and Technology CollegeChangchunChina
| | - Ziping Jiang
- Department of Hand and Foot SurgeryThe First Hospital of Jilin UniversityChangchunChina
| | - Tianjia Liu
- Research and Development CentreBaicheng Medical CollegeBaichengChina
| | - Dongxu Wang
- Laboratory Animal CenterCollege of Animal ScienceJilin UniversityChangchunChina
- Department of Hand and Foot SurgeryThe First Hospital of Jilin UniversityChangchunChina
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2
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Zhong C, Jiang WJ, Yao Y, Li Z, Li Y, Wang S, Wang X, Zhu W, Wu S, Wang J, Fan S, Ma S, Liu Y, Zhang H, Zhao W, Zhao L, Feng Y, Li Z, Guo R, Yu L, Pei F, Hu J, Feng X, Yang Z, Yang Z, Yang X, Hou Y, Zhang D, Xu D, Sheng R, Li Y, Liu L, Wu HJ, Huang J, Fei T. CRISPR screens reveal convergent targeting strategies against evolutionarily distinct chemoresistance in cancer. Nat Commun 2024; 15:5502. [PMID: 38951519 PMCID: PMC11217446 DOI: 10.1038/s41467-024-49673-4] [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: 01/17/2023] [Accepted: 06/17/2024] [Indexed: 07/03/2024] Open
Abstract
Resistance to chemotherapy has been a major hurdle that limits therapeutic benefits for many types of cancer. Here we systematically identify genetic drivers underlying chemoresistance by performing 30 genome-scale CRISPR knockout screens for seven chemotherapeutic agents in multiple cancer cells. Chemoresistance genes vary between conditions primarily due to distinct genetic background and mechanism of action of drugs, manifesting heterogeneous and multiplexed routes towards chemoresistance. By focusing on oxaliplatin and irinotecan resistance in colorectal cancer, we unravel that evolutionarily distinct chemoresistance can share consensus vulnerabilities identified by 26 second-round CRISPR screens with druggable gene library. We further pinpoint PLK4 as a therapeutic target to overcome oxaliplatin resistance in various models via genetic ablation or pharmacological inhibition, highlighting a single-agent strategy to antagonize evolutionarily distinct chemoresistance. Our study not only provides resources and insights into the molecular basis of chemoresistance, but also proposes potential biomarkers and therapeutic strategies against such resistance.
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Affiliation(s)
- Chunge Zhong
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
- Foshan Graduate School of Innovation, Northeastern University, Foshan, 528311, China
| | - Wen-Jie Jiang
- Peking University Third Hospital, Beijing, 100191, China
| | - Yingjia Yao
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Zexu Li
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - You Li
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Shengnan Wang
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Xiaofeng Wang
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Wenjuan Zhu
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Siqi Wu
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
| | - Jing Wang
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
| | - Shuangshuang Fan
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Shixin Ma
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Yeshu Liu
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
| | - Han Zhang
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Wenchang Zhao
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Lu Zhao
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Yi Feng
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Zihan Li
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Ruifang Guo
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
| | - Li Yu
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
| | - Fengyun Pei
- Department of Colorectal Surgery, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jun Hu
- Clinical Research Center, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Institute of Gastroenterology, Guangzhou, China
| | - Xingzhi Feng
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Institute of Gastroenterology, Guangzhou, China
| | - Zihuan Yang
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Institute of Gastroenterology, Guangzhou, China
| | - Zhengjia Yang
- Department of Cardiothoracic Surgery, Jinqiu Hospital of Liaoning Province, Shenyang, China
| | - Xueying Yang
- Department of Thoracic Surgery, The Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - Yue Hou
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
| | - Danni Zhang
- Key Laboratory for Anisotropy and Texture of Materials (Ministry of Education), School of Materials Science and Engineering, Northeastern University, Shenyang, China
| | - Dake Xu
- Key Laboratory for Anisotropy and Texture of Materials (Ministry of Education), School of Materials Science and Engineering, Northeastern University, Shenyang, China
| | - Ren Sheng
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
| | - Yihao Li
- BeiGene Institute, BeiGene (Shanghai) Research & Development Co., Ltd, 200131, Shanghai, China
| | - Lijun Liu
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
| | - Hua-Jun Wu
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, 100142, China.
- Department of Biomedical Informatics, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China.
- Center for Precision Medicine Multi-Omics Research, Institute of Advanced Clinical Medicine, Peking University, Beijing, 100191, China.
| | - Jun Huang
- Department of Colorectal Surgery, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
- Clinical Research Center, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
- Guangdong Institute of Gastroenterology, Guangzhou, China.
| | - Teng Fei
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China.
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China.
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China.
- Foshan Graduate School of Innovation, Northeastern University, Foshan, 528311, China.
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Schütt J, Brinkert K, Plis A, Schenk T, Brioli A. Unraveling the complexity of drug resistance mechanisms to SINE, T cell-engaging therapies and CELMoDs in multiple myeloma: a comprehensive review. CANCER DRUG RESISTANCE (ALHAMBRA, CALIF.) 2024; 7:26. [PMID: 39050883 PMCID: PMC11267153 DOI: 10.20517/cdr.2024.39] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/31/2024] [Revised: 05/30/2024] [Accepted: 06/20/2024] [Indexed: 07/27/2024]
Abstract
Despite significant advances in the understanding of multiple myeloma (MM) biology and the development of novel treatment strategies in the last two decades, MM is still an incurable disease. Novel drugs with alternative mechanisms of action, such as selective inhibitors of nuclear export (SINE), modulators of the ubiquitin pathway [cereblon E3 ligase modulatory drugs (CELMoDs)], and T cell redirecting (TCR) therapy, have led to significant improvement in patient outcomes. However, resistance still emerges, posing a major problem for the treatment of myeloma patients. This review summarizes current data on treatment with SINE, TCR therapy, and CELMoDs and explores their mechanism of resistance. Understanding these resistance mechanisms is critical for developing strategies to overcome treatment failure and improve therapeutic outcomes.
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Affiliation(s)
- Jacqueline Schütt
- Clinic for Hematology, Hemostasis, Oncology and Stem cell transplantation, Hannover Medical School, Hannover 30625, Germany
- Authors contributed equally
| | - Kerstin Brinkert
- Clinic for Hematology, Hemostasis, Oncology and Stem cell transplantation, Hannover Medical School, Hannover 30625, Germany
- Authors contributed equally
| | - Andrzej Plis
- Clinic for Internal Medicine C, Hematology and Oncology, Greifswald University Medicine, Greifswald 17489, Germany
| | - Tino Schenk
- Clinic of Internal Medicine 2, Department of Hematology and Medical Oncology, Jena University Hospital, Jena 07741, Germany
- Institute of Molecular Cell Biology, CMB, Jena University Hospital, Jena 07741, Germany
| | - Annamaria Brioli
- Clinic for Hematology, Hemostasis, Oncology and Stem cell transplantation, Hannover Medical School, Hannover 30625, Germany
- Clinic for Internal Medicine C, Hematology and Oncology, Greifswald University Medicine, Greifswald 17489, Germany
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4
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Li M, Zhang CL, Zhou DS, Chan SH, Liu XQ, Chen SN, Yang ZY, Ju FE, Sang XY, Liu ZX, Zhang QX, Pan YM, Deng SS, Wang XM, Zhong L, Zhang XD, Du X. Identification of COQ2 as a regulator of proliferation and lipid peroxidation through genome-scale CRISPR-Cas9 screening in myeloma cells. Br J Haematol 2024; 204:1307-1324. [PMID: 38462771 DOI: 10.1111/bjh.19375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 02/14/2024] [Accepted: 02/20/2024] [Indexed: 03/12/2024]
Abstract
Multiple myeloma (MM) is the second most common malignant haematological disease with a poor prognosis. The limit therapeutic progress has been made in MM patients with cancer relapse, necessitating deeper research into the molecular mechanisms underlying its occurrence and development. A genome-wide CRISPR-Cas9 loss-of-function screening was utilized to identify potential therapeutic targets in our research. We revealed that COQ2 plays a crucial role in regulating MM cell proliferation and lipid peroxidation (LPO). Knockout of COQ2 inhibited cell proliferation, induced cell cycle arrest and reduced tumour growth in vivo. Mechanistically, COQ2 promoted the activation of the MEK/ERK cascade, which in turn stabilized and activated MYC protein. Moreover, we found that COQ2-deficient MM cells increased sensitivity to the LPO activator, RSL3. Using an inhibitor targeting COQ2 by 4-CBA enhanced the sensitivity to RSL3 in primary CD138+ myeloma cells and in a xenograft mouse model. Nevertheless, co-treatment of 4-CBA and RSL3 induced cell death in bortezomib-resistant MM cells. Together, our findings suggest that COQ2 promotes cell proliferation and tumour growth through the activation of the MEK/ERK/MYC axis and targeting COQ2 could enhance the sensitivity to ferroptosis in MM cells, which may be a promising therapeutic strategy for the treatment of MM patients.
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Affiliation(s)
- Miao Li
- Department of Dermatovenereology, Pelvic Floor Disorders Center, Scientific Research Center, Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
- Department of Gynecology, Pelvic Floor Disorders Center, Scientific Research Center, Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
- Key Laboratory for Efficacy and Safety Evaluation of Hematological Malignancy Targeted Medicine of Guangdong Provincial Drug Administration, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
- Department of Hematology and Shenzhen Bone Marrow Transplantation Public Service Platform, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen, China
| | - Chang-Lin Zhang
- Department of Dermatovenereology, Pelvic Floor Disorders Center, Scientific Research Center, Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
- Department of Gynecology, Pelvic Floor Disorders Center, Scientific Research Center, Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Di-Sheng Zhou
- Key Laboratory for Efficacy and Safety Evaluation of Hematological Malignancy Targeted Medicine of Guangdong Provincial Drug Administration, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Sze-Hoi Chan
- Key Laboratory for Efficacy and Safety Evaluation of Hematological Malignancy Targeted Medicine of Guangdong Provincial Drug Administration, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Xue-Qi Liu
- Key Laboratory for Efficacy and Safety Evaluation of Hematological Malignancy Targeted Medicine of Guangdong Provincial Drug Administration, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Shu-Na Chen
- Key Laboratory for Efficacy and Safety Evaluation of Hematological Malignancy Targeted Medicine of Guangdong Provincial Drug Administration, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Zi-Yi Yang
- Key Laboratory for Efficacy and Safety Evaluation of Hematological Malignancy Targeted Medicine of Guangdong Provincial Drug Administration, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Fei-Er Ju
- Key Laboratory for Efficacy and Safety Evaluation of Hematological Malignancy Targeted Medicine of Guangdong Provincial Drug Administration, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Xiao-Yan Sang
- Key Laboratory for Efficacy and Safety Evaluation of Hematological Malignancy Targeted Medicine of Guangdong Provincial Drug Administration, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Zi-Xuan Liu
- Key Laboratory for Efficacy and Safety Evaluation of Hematological Malignancy Targeted Medicine of Guangdong Provincial Drug Administration, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Qiao-Xia Zhang
- Department of Hematology and Shenzhen Bone Marrow Transplantation Public Service Platform, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen, China
| | - Yu-Ming Pan
- Department of Hematology and Shenzhen Bone Marrow Transplantation Public Service Platform, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen, China
| | - Si-Si Deng
- Department of Hematology and Shenzhen Bone Marrow Transplantation Public Service Platform, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen, China
| | - Xiao-Mei Wang
- Department of Hematology and Shenzhen Bone Marrow Transplantation Public Service Platform, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen, China
| | - Li Zhong
- Department of Dermatovenereology, Pelvic Floor Disorders Center, Scientific Research Center, Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
- Department of Gynecology, Pelvic Floor Disorders Center, Scientific Research Center, Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Xing-Ding Zhang
- Key Laboratory for Efficacy and Safety Evaluation of Hematological Malignancy Targeted Medicine of Guangdong Provincial Drug Administration, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Xin Du
- Department of Hematology and Shenzhen Bone Marrow Transplantation Public Service Platform, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen, China
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5
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Ovejero S, Viziteu E, Dutrieux L, Devin J, Lin YL, Alaterre E, Jourdan M, Basbous J, Requirand G, Robert N, de Boussac H, Seckinger A, Hose D, Vincent L, Herbaux C, Constantinou A, Pasero P, Moreaux J. The BLM helicase is a new therapeutic target in multiple myeloma involved in replication stress survival and drug resistance. Front Immunol 2022; 13:983181. [PMID: 36569948 PMCID: PMC9780552 DOI: 10.3389/fimmu.2022.983181] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 11/24/2022] [Indexed: 12/13/2022] Open
Abstract
Multiple myeloma (MM) is a hematologic cancer characterized by accumulation of malignant plasma cells in the bone marrow. To date, no definitive cure exists for MM and resistance to current treatments is one of the major challenges of this disease. The DNA helicase BLM, whose depletion or mutation causes the cancer-prone Bloom's syndrome (BS), is a central factor of DNA damage repair by homologous recombination (HR) and genomic stability maintenance. Using independent cohorts of MM patients, we identified that high expression of BLM is associated with a poor outcome with a significant enrichment in replication stress signature. We provide evidence that chemical inhibition of BLM by the small molecule ML216 in HMCLs (human myeloma cell lines) leads to cell cycle arrest and increases apoptosis, likely by accumulation of DNA damage. BLM inhibition synergizes with the alkylating agent melphalan to efficiently inhibit growth and promote cell death in HMCLs. Moreover, ML216 treatment re-sensitizes melphalan-resistant cell lines to this conventional therapeutic agent. Altogether, these data suggest that inhibition of BLM in combination with DNA damaging agents could be of therapeutic interest in the treatment of MM, especially in those patients with high BLM expression and/or resistance to melphalan.
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Affiliation(s)
- Sara Ovejero
- Department of Biological Hematology, CHU Montpellier, Montpellier, France,Institute of Human Genetics, UMR 9002 CNRS-UM, Montpellier, France
| | - Elena Viziteu
- Department of Biological Hematology, CHU Montpellier, Montpellier, France,Institute of Human Genetics, UMR 9002 CNRS-UM, Montpellier, France
| | - Laure Dutrieux
- Department of Biological Hematology, CHU Montpellier, Montpellier, France,Institute of Human Genetics, UMR 9002 CNRS-UM, Montpellier, France
| | - Julie Devin
- Department of Biological Hematology, CHU Montpellier, Montpellier, France,Institute of Human Genetics, UMR 9002 CNRS-UM, Montpellier, France
| | - Yea-Lih Lin
- Institute of Human Genetics, UMR 9002 CNRS-UM, Montpellier, France
| | - Elina Alaterre
- Department of Biological Hematology, CHU Montpellier, Montpellier, France,Institute of Human Genetics, UMR 9002 CNRS-UM, Montpellier, France
| | - Michel Jourdan
- Department of Biological Hematology, CHU Montpellier, Montpellier, France,Institute of Human Genetics, UMR 9002 CNRS-UM, Montpellier, France
| | - Jihane Basbous
- Institute of Human Genetics, UMR 9002 CNRS-UM, Montpellier, France
| | - Guilhem Requirand
- Department of Biological Hematology, CHU Montpellier, Montpellier, France
| | - Nicolas Robert
- Department of Biological Hematology, CHU Montpellier, Montpellier, France
| | | | | | - Dirk Hose
- Department of Hematology and Immunology, Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Laure Vincent
- Department of Hematology and Immunology, Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Charles Herbaux
- Institute of Human Genetics, UMR 9002 CNRS-UM, Montpellier, France,Department of Hematology and Immunology, Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | | | - Philippe Pasero
- Institute of Human Genetics, UMR 9002 CNRS-UM, Montpellier, France
| | - Jérôme Moreaux
- Department of Biological Hematology, CHU Montpellier, Montpellier, France,Institute of Human Genetics, UMR 9002 CNRS-UM, Montpellier, France,Department of Clinical Hematology, CHU Montpellier, Montpellier, France,*Correspondence: Jérôme Moreaux,
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6
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Liu P, Lin C, Liu L, Lu Z, Tu Z, Liu H. RAD54B mutations enhance the sensitivity of ovarian cancer cells to poly(ADP-ribose) polymerase (PARP) inhibitors. J Biol Chem 2022; 298:102354. [PMID: 35952757 PMCID: PMC9463535 DOI: 10.1016/j.jbc.2022.102354] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 07/26/2022] [Accepted: 07/27/2022] [Indexed: 11/29/2022] Open
Abstract
Synthetic lethal targeting of homologous recombination (HR)–deficient ovarian cancers (OvCas) with poly(ADP-ribose) polymerase inhibitors (PARPis) has attracted considerable attention. Olaparib was the first PARPi approved by the Food and Drug Administration, offering significant clinical benefits in BRCA1/2-deficient OvCas. However, only approximately 20% of OvCa patients harbor BRCA1/2 mutations. Given the shared roles that BRCA1/2 have with other HR regulators, alterations in HR genes may also contribute to “BRCAness profiles” in OvCas. RAD54B has been considered a key player in HR repair, although its roles and therapeutic potential in cancers need further investigation. Here, we identified 22 frequently mutated HR genes by whole-exome sequencing of OvCa tissues from 82 patients. To our surprise, 7.3% of patients were found to harbor mutations of RAD54B, the third-highest mutated gene among patients. We determined that RAD54B-mutated tumor tissues harbored more DNA double-strand breaks than normal tissues. Additionally, we found that RAD54B knockdown inhibited HR repair, enhanced sensitivities of OvCa cells with increased DNA double-strand breaks to olaparib, and induced apoptosis. Enhanced inhibitory effects of olaparib on the growth of ES2 xenograft tumors were further demonstrated by RAD54B knockdown. Finally, we show that restoration with wildtype RAD54B rather than RAD54BN593S and RAD54BH219Y, identified in patients, abolished the effects of RAD54B knockdown, indicating these RAD54B mutants probably malfunctioned in HR repair. Our investigations may offer insight into the contributions of RAD54B mutations to synthetic lethality with olaparib treatment in OvCas, enrich the gene list for “HR deficiency scoring,” and expand the applications of PARPis.
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Affiliation(s)
- Peng Liu
- School of Life Sciences, Jiangsu University, Zhenjiang, Jiangsu 212013, China
| | - Chunxiu Lin
- School of Life Sciences, Jiangsu University, Zhenjiang, Jiangsu 212013, China
| | - Lanlan Liu
- School of Life Sciences, Jiangsu University, Zhenjiang, Jiangsu 212013, China
| | - Ziwen Lu
- School of Pharmacy, Jiangsu University, Zhenjiang, Jiangsu 212013, China
| | - Zhigang Tu
- School of Life Sciences, Jiangsu University, Zhenjiang, Jiangsu 212013, China.
| | - Hanqing Liu
- School of Pharmacy, Jiangsu University, Zhenjiang, Jiangsu 212013, China.
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7
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Ancos-Pintado R, Bragado-García I, Morales ML, García-Vicente R, Arroyo-Barea A, Rodríguez-García A, Martínez-López J, Linares M, Hernández-Sánchez M. High-Throughput CRISPR Screening in Hematological Neoplasms. Cancers (Basel) 2022; 14:3612. [PMID: 35892871 PMCID: PMC9329962 DOI: 10.3390/cancers14153612] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 07/16/2022] [Accepted: 07/20/2022] [Indexed: 02/01/2023] Open
Abstract
CRISPR is becoming an indispensable tool in biological research, revolutionizing diverse fields of medical research and biotechnology. In the last few years, several CRISPR-based genome-targeting tools have been translated for the study of hematological neoplasms. However, there is a lack of reviews focused on the wide uses of this technology in hematology. Therefore, in this review, we summarize the main CRISPR-based approaches of high throughput screenings applied to this field. Here we explain several libraries and algorithms for analysis of CRISPR screens used in hematology, accompanied by the most relevant databases. Moreover, we focus on (1) the identification of novel modulator genes of drug resistance and efficacy, which could anticipate relapses in patients and (2) new therapeutic targets and synthetic lethal interactions. We also discuss the approaches to uncover novel biomarkers of malignant transformations and immune evasion mechanisms. We explain the current literature in the most common lymphoid and myeloid neoplasms using this tool. Then, we conclude with future directions, highlighting the importance of further gene candidate validation and the integration and harmonization of the data from CRISPR screening approaches.
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Affiliation(s)
- Raquel Ancos-Pintado
- Department of Translational Hematology, Instituto de Investigación Hospital 12 de Octubre (imas12), Hematological Malignancies Clinical Research Unit H12O-CNIO, CIBERONC, ES 28041 Madrid, Spain; (R.A.-P.); (M.L.M.); (R.G.-V.); (A.R.-G.); (J.M.-L.); (M.L.)
- Department of Biochemistry and Molecular Biology, Pharmacy School, Universidad Complutense de Madrid, ES 28040 Madrid, Spain; (I.B.-G.); (A.A.-B.)
| | - Irene Bragado-García
- Department of Biochemistry and Molecular Biology, Pharmacy School, Universidad Complutense de Madrid, ES 28040 Madrid, Spain; (I.B.-G.); (A.A.-B.)
| | - María Luz Morales
- Department of Translational Hematology, Instituto de Investigación Hospital 12 de Octubre (imas12), Hematological Malignancies Clinical Research Unit H12O-CNIO, CIBERONC, ES 28041 Madrid, Spain; (R.A.-P.); (M.L.M.); (R.G.-V.); (A.R.-G.); (J.M.-L.); (M.L.)
| | - Roberto García-Vicente
- Department of Translational Hematology, Instituto de Investigación Hospital 12 de Octubre (imas12), Hematological Malignancies Clinical Research Unit H12O-CNIO, CIBERONC, ES 28041 Madrid, Spain; (R.A.-P.); (M.L.M.); (R.G.-V.); (A.R.-G.); (J.M.-L.); (M.L.)
| | - Andrés Arroyo-Barea
- Department of Biochemistry and Molecular Biology, Pharmacy School, Universidad Complutense de Madrid, ES 28040 Madrid, Spain; (I.B.-G.); (A.A.-B.)
| | - Alba Rodríguez-García
- Department of Translational Hematology, Instituto de Investigación Hospital 12 de Octubre (imas12), Hematological Malignancies Clinical Research Unit H12O-CNIO, CIBERONC, ES 28041 Madrid, Spain; (R.A.-P.); (M.L.M.); (R.G.-V.); (A.R.-G.); (J.M.-L.); (M.L.)
| | - Joaquín Martínez-López
- Department of Translational Hematology, Instituto de Investigación Hospital 12 de Octubre (imas12), Hematological Malignancies Clinical Research Unit H12O-CNIO, CIBERONC, ES 28041 Madrid, Spain; (R.A.-P.); (M.L.M.); (R.G.-V.); (A.R.-G.); (J.M.-L.); (M.L.)
- Department of Medicine, Medicine School, Universidad Complutense de Madrid, ES 28040 Madrid, Spain
| | - María Linares
- Department of Translational Hematology, Instituto de Investigación Hospital 12 de Octubre (imas12), Hematological Malignancies Clinical Research Unit H12O-CNIO, CIBERONC, ES 28041 Madrid, Spain; (R.A.-P.); (M.L.M.); (R.G.-V.); (A.R.-G.); (J.M.-L.); (M.L.)
- Department of Biochemistry and Molecular Biology, Pharmacy School, Universidad Complutense de Madrid, ES 28040 Madrid, Spain; (I.B.-G.); (A.A.-B.)
| | - María Hernández-Sánchez
- Department of Biochemistry and Molecular Biology, Pharmacy School, Universidad Complutense de Madrid, ES 28040 Madrid, Spain; (I.B.-G.); (A.A.-B.)
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8
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Solimando AG, Da Vià MC, Bolli N, Steinbrunn T. The Route of the Malignant Plasma Cell in Its Survival Niche: Exploring “Multiple Myelomas”. Cancers (Basel) 2022; 14:cancers14133271. [PMID: 35805041 PMCID: PMC9265748 DOI: 10.3390/cancers14133271] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 06/25/2022] [Accepted: 06/27/2022] [Indexed: 02/04/2023] Open
Abstract
Growing evidence points to multiple myeloma (MM) and its stromal microenvironment using several mechanisms to subvert effective immune and anti-tumor responses. Recent advances have uncovered the tumor-stromal cell influence in regulating the immune-microenvironment and have envisioned targeting these suppressive pathways to improve therapeutic outcomes. Nevertheless, some subgroups of patients include those with particularly unfavorable prognoses. Biological stratification can be used to categorize patient-, disease- or therapy-related factors, or alternatively, these biological determinants can be included in a dynamic model that customizes a given treatment to a specific patient. Genetic heterogeneity and current knowledge enforce a systematic and comprehensive bench-to-bedside approach. Given the increasing role of cancer stem cells (CSCs) in better characterizing the pathogenesis of solid and hematological malignancies, disease relapse, and drug resistance, identifying and describing CSCs is of paramount importance in the management of MM. Even though the function of CSCs is well-known in other cancer types, their role in MM remains elusive. With this review, we aim to provide an update on MM homing and resilience in the bone marrow micro milieu. These data are particularly interesting for clinicians facing unmet medical needs while designing novel treatment approaches for MM.
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Affiliation(s)
- Antonio Giovanni Solimando
- Department of Biomedical Sciences and Human Oncology, Section of Internal Medicine ‘G. Baccelli’, University of Bari Medical School, 70124 Bari, Italy
- Department of Medicine II, University Hospital of Würzburg, 97080 Würzburg, Germany
- Correspondence: (A.G.S.); (T.S.); Tel.: +39-3395626475 (A.G.S.)
| | - Matteo Claudio Da Vià
- Hematology Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy; (M.C.D.V.); (N.B.)
| | - Niccolò Bolli
- Hematology Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy; (M.C.D.V.); (N.B.)
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy
| | - Torsten Steinbrunn
- Department of Medicine II, University Hospital of Würzburg, 97080 Würzburg, Germany
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA
- Correspondence: (A.G.S.); (T.S.); Tel.: +39-3395626475 (A.G.S.)
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Proteomic profiling reveals CDK6 upregulation as a targetable resistance mechanism for lenalidomide in multiple myeloma. Nat Commun 2022; 13:1009. [PMID: 35197447 PMCID: PMC8866544 DOI: 10.1038/s41467-022-28515-1] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 01/26/2022] [Indexed: 12/12/2022] Open
Abstract
The immunomodulatory drugs (IMiDs) lenalidomide and pomalidomide are highly effective treatments for multiple myeloma. However, virtually all patients eventually relapse due to acquired drug resistance with resistance-causing genetic alterations being found only in a small subset of cases. To identify non-genetic mechanisms of drug resistance, we here perform integrated global quantitative tandem mass tag (TMT)-based proteomic and phosphoproteomic analyses and RNA sequencing in five paired pre-treatment and relapse samples from multiple myeloma patients. These analyses reveal a CDK6-governed protein resistance signature that includes myeloma high-risk factors such as TRIP13 and RRM1. Overexpression of CDK6 in multiple myeloma cell lines reduces sensitivity to IMiDs while CDK6 inhibition by palbociclib or CDK6 degradation by proteolysis targeting chimeras (PROTACs) is highly synergistic with IMiDs in vitro and in vivo. This work identifies CDK6 upregulation as a druggable target in IMiD-resistant multiple myeloma and highlights the use of proteomic studies to uncover non-genetic resistance mechanisms in cancer. Acquired resistance to immunomodulatory drugs is common in multiple myeloma patients, but rarely attributed to genetic alterations. Here, proteomic, phosphoproteomic and RNA sequencing analysis in five paired pre-treatment and relapse samples reveals a CDK6-regulated protein resistance signature.
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10
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Solayappan M, Azlan A, Khor KZ, Yik MY, Khan M, Yusoff NM, Moses EJ. Utilization of CRISPR-Mediated Tools for Studying Functional Genomics in Hematological Malignancies: An Overview on the Current Perspectives, Challenges, and Clinical Implications. Front Genet 2022; 12:767298. [PMID: 35154242 PMCID: PMC8834884 DOI: 10.3389/fgene.2021.767298] [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: 08/30/2021] [Accepted: 11/17/2021] [Indexed: 11/26/2022] Open
Abstract
Hematological malignancies (HM) are a group of neoplastic diseases that are usually heterogenous in nature due to the complex underlying genetic aberrations in which collaborating mutations enable cells to evade checkpoints that normally safeguard it against DNA damage and other disruptions of healthy cell growth. Research regarding chromosomal structural rearrangements and alterations, gene mutations, and functionality are currently being carried out to understand the genomics of these abnormalities. It is also becoming more evident that cross talk between the functional changes in transcription and proteins gives the characteristics of the disease although specific mutations may induce unique phenotypes. Functional genomics is vital in this aspect as it measures the complete genetic change in cancerous cells and seeks to integrate the dynamic changes in these networks to elucidate various cancer phenotypes. The advent of CRISPR technology has indeed provided a superfluity of benefits to mankind, as this versatile technology enables DNA editing in the genome. The CRISPR-Cas9 system is a precise genome editing tool, and it has revolutionized methodologies in the field of hematology. Currently, there are various CRISPR systems that are used to perform robust site-specific gene editing to study HM. Furthermore, experimental approaches that are based on CRISPR technology have created promising tools for developing effective hematological therapeutics. Therefore, this review will focus on diverse applications of CRISPR-based gene-editing tools in HM and its potential future trajectory. Collectively, this review will demonstrate the key roles of different CRISPR systems that are being used in HM, and the literature will be a representation of a critical step toward further understanding the biology of HM and the development of potential therapeutic approaches.
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Affiliation(s)
- Maheswaran Solayappan
- Regenerative Medicine Sciences Cluster, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Penang, Malaysia
- Department of Biotechnology, Faculty of Applied Sciences, AIMST University, Bedong, Malaysia
| | - Adam Azlan
- Regenerative Medicine Sciences Cluster, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Penang, Malaysia
| | - Kang Zi Khor
- Regenerative Medicine Sciences Cluster, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Penang, Malaysia
| | - Mot Yee Yik
- Regenerative Medicine Sciences Cluster, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Penang, Malaysia
| | - Matiullah Khan
- Department of Pathology, Faculty of Medicine, AIMST University, Bedong, Malaysia
| | - Narazah Mohd Yusoff
- Regenerative Medicine Sciences Cluster, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Penang, Malaysia
| | - Emmanuel Jairaj Moses
- Regenerative Medicine Sciences Cluster, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Penang, Malaysia
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11
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Transcription/Replication Conflicts in Tumorigenesis and Their Potential Role as Novel Therapeutic Targets in Multiple Myeloma. Cancers (Basel) 2021; 13:cancers13153755. [PMID: 34359660 PMCID: PMC8345052 DOI: 10.3390/cancers13153755] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 07/13/2021] [Accepted: 07/22/2021] [Indexed: 12/24/2022] Open
Abstract
Simple Summary Multiple myeloma is a hematologic cancer characterized by the accumulation of malignant plasma cells in the bone marrow. It remains a mostly incurable disease due to the inability to overcome refractory disease and drug-resistant relapse. Oncogenic transformation of PC in multiple myeloma is thought to occur within the secondary lymphoid organs. However, the precise molecular events leading to myelomagenesis remain obscure. Here, we identified genes involved in the prevention and the resolution of conflicts between the replication and transcription significantly overexpressed during the plasma cell differentiation process and in multiple myeloma cells. We discussed the potential role of these factors in myelomagenesis and myeloma biology. The specific targeting of these factors might constitute a new therapeutic strategy in multiple myeloma. Abstract Plasma cells (PCs) have an essential role in humoral immune response by secretion of antibodies, and represent the final stage of B lymphocytes differentiation. During this differentiation, the pre-plasmablastic stage is characterized by highly proliferative cells that start to secrete immunoglobulins (Igs). Thus, replication and transcription must be tightly regulated in these cells to avoid transcription/replication conflicts (TRCs), which could increase replication stress and lead to genomic instability. In this review, we analyzed expression of genes involved in TRCs resolution during B to PC differentiation and identified 41 genes significantly overexpressed in the pre-plasmablastic stage. This illustrates the importance of mechanisms required for adequate processing of TRCs during PCs differentiation. Furthermore, we identified that several of these factors were also found overexpressed in purified PCs from patients with multiple myeloma (MM) compared to normal PCs. Malignant PCs produce high levels of Igs concomitantly with cell cycle deregulation. Therefore, increasing the TRCs occurring in MM cells could represent a potent therapeutic strategy for MM patients. Here, we describe the potential roles of TRCs resolution factors in myelomagenesis and discuss the therapeutic interest of targeting the TRCs resolution machinery in MM.
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