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Luo X, Chen T, Deng J, Liu Z, Bi C, Lan S. ITPKA phosphorylates PYCR1 and promotes the progression of glioma. Heliyon 2024; 10:e35303. [PMID: 39170313 PMCID: PMC11336625 DOI: 10.1016/j.heliyon.2024.e35303] [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: 12/17/2023] [Revised: 07/15/2024] [Accepted: 07/25/2024] [Indexed: 08/23/2024] Open
Abstract
Glioma is one of the prevalent malignancies, and identifying therapeutic targets for glioma is highly important. Findings of current study revealed that inositol-trisphosphate 3-kinase A (ITPKA) was found abnormally over expressed and thereby exhibited poor prognosis with glioma. Extensive academic research has meticulously elucidated ITPKA's pivotal role in enhancing glioma cell proliferation and invasion, highlighting its significance in oncogenic pathways and cellular dynamics specific to aggressive brain tumors. Inhibiting the ITPKA has wide scope to reduce the tumorigenicity in gliomas in vivo. We also noticed that ITPKA interacts with PYCR1 and phosphorylates serine 29 of PYCR1. Phosphorylation of serine 29 inhibits the E3 ligase Stub1-mediated ubiquitination of PYCR1, thereby stabilizing its protein level. Based on our findings, it was determined that the phosphorylation of serine 29 in PYCR1 by ITPKA enhances the stability of the phosphorylated PYCR1 protein. This, in turn, involved significantly in oncogenic function of ITPKA in glioblastoma. Consequently, ITPKA holds promise as a potential target in prospective glioma therapy.
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Affiliation(s)
- Xiangying Luo
- Department of Neurosurgery, XiangYa Hospital of Central South University, Changsha, Hunan, 410078, PR China
- National Clinical Research Center for Geriatric Disorders, XiangYa Hospital, Changsha, Hunan, 410008, PR China
| | - Tao Chen
- Department of Neurosurgery, Yangjiang Key Laboratory of Respiratory Disease, People's Hospital of Yangjiang, Yangjiang, Guangdong, 529500, China, PR China
- Department of Anesthesiology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, PR China
| | - Junyi Deng
- Department of Anesthesiology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, PR China
| | - Ziyuan Liu
- Department of Neurosurgery, XiangYa Hospital of Central South University, Changsha, Hunan, 410078, PR China
| | - Changlong Bi
- Department of Neurosurgery, XiangYa Hospital of Central South University, Changsha, Hunan, 410078, PR China
| | - Song Lan
- Department of Neurosurgery, XiangYa Hospital of Central South University, Changsha, Hunan, 410078, PR China
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2
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Varzieva VG, Mesonzhnik NV, Ilgisonis IS, Belenkov YN, Kozhevnikova MV, Appolonova SA. Metabolomic biomarkers of multiple myeloma: A systematic review. Biochim Biophys Acta Rev Cancer 2024; 1879:189151. [PMID: 38986721 DOI: 10.1016/j.bbcan.2024.189151] [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: 11/21/2023] [Accepted: 07/03/2024] [Indexed: 07/12/2024]
Abstract
Multiple myeloma (MM) is an incurable malignancy of clonal plasma cells. Various diagnostic methods are used in parallel to accurately determine stage and severity of the disease. Identifying a biomarker or a panel of biomarkers could enhance the quality of medical care that patients receive by adopting a more personalized approach. Metabolomics utilizes high-throughput analytical platforms to examine the levels and quantities of biochemical compounds in biosamples. The aim of this review was to conduct a systematic literature search for potential metabolic biomarkers that may aid in the diagnosis and prognosis of MM. The review was conducted in accordance with PRISMA recommendations and was registered in PROSPERO. The systematic search was performed in PubMed, CINAHL, SciFinder, Scopus, The Cochrane Library and Google Scholar. Studies were limited to those involving people with clinically diagnosed MM and healthy controls as comparators. Articles had to be published in English and had no restrictions on publication date or sample type. The quality of articles was assessed according to QUADOMICS criteria. A total of 709 articles were collected during the literature search. Of these, 436 were excluded based on their abstract, with 26 more removed after a thorough review of the full text. Finally, 16 articles were deemed relevant and were subjected to further analysis of their data. A number of promising candidate biomarkers was discovered. Follow-up studies with large sample sizes are needed to determine their suitability for clinical applications.
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Affiliation(s)
- Valeria G Varzieva
- Department of Pharmacology, Sechenov First Moscow State Medical University (Sechenov University), Vernadskogo pr., 96, 119571 Moscow, Russia; Centre of Biopharmaceutical Analysis and Metabolomics, Institute of Translational Medicine and Biotechnology, Sechenov First Moscow State Medical University (Sechenov University), Nakhimovsky pr., 45, 117418 Moscow, Russia.
| | - Natalia V Mesonzhnik
- Centre of Biopharmaceutical Analysis and Metabolomics, Institute of Translational Medicine and Biotechnology, Sechenov First Moscow State Medical University (Sechenov University), Nakhimovsky pr., 45, 117418 Moscow, Russia.
| | - Irina S Ilgisonis
- Hospital Therapy No. 1 Department, Sechenov First Moscow State Medical University (Sechenov University), Bol'shaya Pirogovskaya st. 6/1, 119435 Moscow, Russia
| | - Yuri N Belenkov
- Hospital Therapy No. 1 Department, Sechenov First Moscow State Medical University (Sechenov University), Bol'shaya Pirogovskaya st. 6/1, 119435 Moscow, Russia
| | - Maria V Kozhevnikova
- Hospital Therapy No. 1 Department, Sechenov First Moscow State Medical University (Sechenov University), Bol'shaya Pirogovskaya st. 6/1, 119435 Moscow, Russia
| | - Svetlana A Appolonova
- Department of Pharmacology, Sechenov First Moscow State Medical University (Sechenov University), Vernadskogo pr., 96, 119571 Moscow, Russia; Centre of Biopharmaceutical Analysis and Metabolomics, Institute of Translational Medicine and Biotechnology, Sechenov First Moscow State Medical University (Sechenov University), Nakhimovsky pr., 45, 117418 Moscow, Russia
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3
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Meeks KR, Bogner AN, Tanner JJ. Screening a knowledge-based library of low molecular weight compounds against the proline biosynthetic enzyme 1-pyrroline-5-carboxylate 1 (PYCR1). Protein Sci 2024; 33:e5072. [PMID: 39133178 PMCID: PMC11193152 DOI: 10.1002/pro.5072] [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: 04/12/2024] [Revised: 05/21/2024] [Accepted: 05/24/2024] [Indexed: 08/13/2024]
Abstract
Δ1-pyrroline-5-carboxylate reductase isoform 1 (PYCR1) is the last enzyme of proline biosynthesis and catalyzes the NAD(P)H-dependent reduction of Δ1-pyrroline-5-carboxylate to L-proline. High PYCR1 gene expression is observed in many cancers and linked to poor patient outcomes and tumor aggressiveness. The knockdown of the PYCR1 gene or the inhibition of PYCR1 enzyme has been shown to inhibit tumorigenesis in cancer cells and animal models of cancer, motivating inhibitor discovery. We screened a library of 71 low molecular weight compounds (average MW of 131 Da) against PYCR1 using an enzyme activity assay. Hit compounds were validated with X-ray crystallography and kinetic assays to determine affinity parameters. The library was counter-screened against human Δ1-pyrroline-5-carboxylate reductase isoform 3 and proline dehydrogenase (PRODH) to assess specificity/promiscuity. Twelve PYCR1 and one PRODH inhibitor crystal structures were determined. Three compounds inhibit PYCR1 with competitive inhibition parameter of 100 μM or lower. Among these, (S)-tetrahydro-2H-pyran-2-carboxylic acid (70 μM) has higher affinity than the current best tool compound N-formyl-l-proline, is 30 times more specific for PYCR1 over human Δ1-pyrroline-5-carboxylate reductase isoform 3, and negligibly inhibits PRODH. Structure-affinity relationships suggest that hydrogen bonding of the heteroatom of this compound is important for binding to PYCR1. The structures of PYCR1 and PRODH complexed with 1-hydroxyethane-1-sulfonate demonstrate that the sulfonate group is a suitable replacement for the carboxylate anchor. This result suggests that the exploration of carboxylic acid isosteres may be a promising strategy for discovering new classes of PYCR1 and PRODH inhibitors. The structure of PYCR1 complexed with l-pipecolate and NADH supports the hypothesis that PYCR1 has an alternative function in lysine metabolism.
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Affiliation(s)
- Kaylen R. Meeks
- Department of BiochemistryUniversity of MissouriColumbiaMissouriUSA
| | - Alexandra N. Bogner
- Department of BiochemistryUniversity of MissouriColumbiaMissouriUSA
- Present address:
Lilly Biotechnology CenterEli Lilly and CompanySan DiegoCaliforniaUSA
| | - John J. Tanner
- Department of BiochemistryUniversity of MissouriColumbiaMissouriUSA
- Department of ChemistryUniversity of MissouriColumbiaMissouriUSA
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4
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Wang Y, Vandewalle N, De Veirman K, Vanderkerken K, Menu E, De Bruyne E. Targeting mTOR signaling pathways in multiple myeloma: biology and implication for therapy. Cell Commun Signal 2024; 22:320. [PMID: 38862983 PMCID: PMC11165851 DOI: 10.1186/s12964-024-01699-3] [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: 02/13/2024] [Accepted: 06/03/2024] [Indexed: 06/13/2024] Open
Abstract
Multiple Myeloma (MM), a cancer of terminally differentiated plasma cells, is the second most prevalent hematological malignancy and is incurable due to the inevitable development of drug resistance. Intense protein synthesis is a distinctive trait of MM cells, supporting the massive production of clonal immunoglobulins or free light chains. The mammalian target of rapamycin (mTOR) kinase is appreciated as a master regulator of vital cellular processes, including regulation of metabolism and protein synthesis, and can be found in two multiprotein complexes, mTORC1 and mTORC2. Dysregulation of these complexes is implicated in several types of cancer, including MM. Since mTOR has been shown to be aberrantly activated in a large portion of MM patients and to play a role in stimulating MM cell survival and resistance to several existing therapies, understanding the regulation and functions of the mTOR complexes is vital for the development of more effective therapeutic strategies. This review provides a general overview of the mTOR pathway, discussing key discoveries and recent insights related to the structure and regulation of mTOR complexes. Additionally, we highlight findings on the mechanisms by which mTOR is involved in protein synthesis and delve into mTOR-mediated processes occurring in MM. Finally, we summarize the progress and current challenges of drugs targeting mTOR complexes in MM.
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Affiliation(s)
- Yanmeng Wang
- Translational Oncology Research Center (TORC) - Team Hematology and Immunology (HEIM), Vrije Universiteit Brussel (VUB), Jette, Belgium
| | - Niels Vandewalle
- Translational Oncology Research Center (TORC) - Team Hematology and Immunology (HEIM), Vrije Universiteit Brussel (VUB), Jette, Belgium
| | - Kim De Veirman
- Translational Oncology Research Center (TORC) - Team Hematology and Immunology (HEIM), Vrije Universiteit Brussel (VUB), Jette, Belgium
- Translational Oncology Research Center (TORC) - Team Hematology and Immunology (HEIM), Universitair Ziekenhuis Brussel (UZ Brussel), Jette, Belgium
| | - Karin Vanderkerken
- Translational Oncology Research Center (TORC) - Team Hematology and Immunology (HEIM), Vrije Universiteit Brussel (VUB), Jette, Belgium
| | - Eline Menu
- Translational Oncology Research Center (TORC) - Team Hematology and Immunology (HEIM), Vrije Universiteit Brussel (VUB), Jette, Belgium.
| | - Elke De Bruyne
- Translational Oncology Research Center (TORC) - Team Hematology and Immunology (HEIM), Vrije Universiteit Brussel (VUB), Jette, Belgium.
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5
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Zhuang F, Huang S, Liu L. PYCR3 modulates mtDNA copy number to drive proliferation and doxorubicin resistance in triple-negative breast cancer. Int J Biochem Cell Biol 2024; 171:106581. [PMID: 38642827 DOI: 10.1016/j.biocel.2024.106581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 04/11/2024] [Accepted: 04/15/2024] [Indexed: 04/22/2024]
Abstract
Triple-negative breast cancer (TNBC) poses significant challenges in treatment due to its aggressive nature and limited therapeutic targets. Understanding the underlying molecular mechanisms driving TNBC progression and chemotherapy resistance is imperative for developing effective therapeutic strategies. Thus, in this study, we aimed to elucidate the role of pyrroline-5-carboxylate reductase 3 (PYCR3) in TNBC pathogenesis and therapeutic response. We observed that PYCR3 is significantly upregulated in TNBC specimens compared to normal breast tissues, correlating with a poorer prognosis in TNBC patients. Knockdown of PYCR3 not only suppresses TNBC cell proliferation but also reverses acquired resistance of TNBC cells to doxorubicin, a commonly used chemotherapeutic agent. Mechanistically, we identified the mitochondrial localization of PYCR3 in TNBC cells and demonstrated its impact on TNBC cell proliferation and sensitivity to doxorubicin through the regulation of mtDNA copy number and mitochondrial respiration. Importantly, Selective reduction of mtDNA copy number using the mtDNA replication inhibitor 2', 3'-dideoxycytidine effectively recapitulates the phenotypic effects observed in PYCR3 knockout, resulting in decreased TNBC cell proliferation and the reversal of doxorubicin resistance through apoptosis induction. Thus, our study underscores the clinical relevance of PYCR3 and highlight its potential as a therapeutic target in TNBC management. By elucidating the functional significance of PYCR3 in TNBC, our findings contribute to a deeper understanding of TNBC biology and provide a foundation for developing novel therapeutic strategies aimed at improving patient outcomes.
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Affiliation(s)
- Feifei Zhuang
- Department of Medical Oncology, Yantaishan Hospital, Yantai, Shandong, China
| | - Shaoyan Huang
- Department of Medical Oncology, Yantaishan Hospital, Yantai, Shandong, China
| | - Lei Liu
- Department of Medical Oncology, Yantaishan Hospital, Yantai, Shandong, China.
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6
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Meeks KR, Ji J, Protopopov MV, Tarkhanova OO, Moroz YS, Tanner JJ. Novel Fragment Inhibitors of PYCR1 from Docking-Guided X-ray Crystallography. J Chem Inf Model 2024; 64:1704-1718. [PMID: 38411104 PMCID: PMC11058006 DOI: 10.1021/acs.jcim.3c01879] [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] [Indexed: 02/28/2024]
Abstract
The proline biosynthetic enzyme Δ1-pyrroline-5-carboxylate (P5C) reductase 1 (PYCR1) is one of the most consistently upregulated enzymes across multiple cancer types and central to the metabolic rewiring of cancer cells. Herein, we describe a fragment-based, structure-first approach to the discovery of PYCR1 inhibitors. Thirty-seven fragment-like carboxylic acids in the molecular weight range of 143-289 Da were selected from docking and then screened using X-ray crystallography as the primary assay. Strong electron density was observed for eight compounds, corresponding to a crystallographic hit rate of 22%. The fragments are novel compared to existing proline analog inhibitors in that they block both the P5C substrate pocket and the NAD(P)H binding site. Four hits showed inhibition of PYCR1 in kinetic assays, and one has lower apparent IC50 than the current best proline analog inhibitor. These results show proof-of-concept for our inhibitor discovery approach and provide a basis for fragment-to-lead optimization.
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Affiliation(s)
- Kaylen R Meeks
- Department of Biochemistry, University of Missouri, Columbia, Missouri 65211, United States
| | - Juan Ji
- Department of Biochemistry, University of Missouri, Columbia, Missouri 65211, United States
| | | | - Olga O Tarkhanova
- Chemspace LLC, 85 Chervonotkatska Street, Suite 1, Kyïv 02094, Ukraine
| | - Yurii S Moroz
- Chemspace LLC, 85 Chervonotkatska Street, Suite 1, Kyïv 02094, Ukraine
- Department of Chemistry, Taras Shevchenko National University of Kyïv, Kyïv 01601, Ukraine
| | - John J Tanner
- Department of Biochemistry, University of Missouri, Columbia, Missouri 65211, United States
- Department of Chemistry, University of Missouri, Columbia, Missouri 65211, United States
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7
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Li X, Zhang HS. Amino acid metabolism, redox balance and epigenetic regulation in cancer. FEBS J 2024; 291:412-429. [PMID: 37129434 DOI: 10.1111/febs.16803] [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: 01/16/2023] [Revised: 04/11/2023] [Accepted: 04/21/2023] [Indexed: 05/03/2023]
Abstract
Amino acids act as versatile nutrients driving cell growth and survival, especially in cancer cells. Amino acid metabolism comprises numerous metabolic networks and is closely linked with intracellular redox balance and epigenetic regulation. Reprogrammed amino acid metabolism has been recognized as a ubiquitous feature in tumour cells. This review outlines the metabolism of several primary amino acids in cancer cells and highlights the pivotal role of amino acid metabolism in sustaining redox homeostasis and regulating epigenetic modification in response to oxidative and genetic stress in cancer cells.
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Affiliation(s)
- Xiang Li
- Faculty of Environment and Life, Beijing University of Technology, Beijing, China
| | - Hong-Sheng Zhang
- Faculty of Environment and Life, Beijing University of Technology, Beijing, China
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8
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Cui B, He B, Huang Y, Wang C, Luo H, Lu J, Su K, Zhang X, Luo Y, Zhao Z, Yang Y, Zhang Y, An F, Wang H, Lam EWF, Kelley KW, Wang L, Liu Q, Peng F. Pyrroline-5-carboxylate reductase 1 reprograms proline metabolism to drive breast cancer stemness under psychological stress. Cell Death Dis 2023; 14:682. [PMID: 37845207 PMCID: PMC10579265 DOI: 10.1038/s41419-023-06200-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 09/21/2023] [Accepted: 09/28/2023] [Indexed: 10/18/2023]
Abstract
Cancer stem-like cells (CSCs) contribute to cancer metastasis, drug resistance and tumor relapse, yet how amino acid metabolism promotes CSC maintenance remains exclusive. Here, we identify that proline synthetase PYCR1 is critical for breast cancer stemness and tumor growth. Mechanistically, PYCR1-synthesized proline activates cGMP-PKG signaling to enhance cancer stem-like traits. Importantly, cGMP-PKG signaling mediates psychological stress-induced cancer stem-like phenotypes and tumorigenesis. Ablation of PYCR1 markedly reverses psychological stress-induced proline synthesis, cGMP-PKG signaling activation and cancer progression. Clinically, PYCR1 and cGMP-PKG signaling components are highly expressed in breast tumor specimens, conferring poor survival in breast cancer patients. Targeting proline metabolism or cGMP-PKG signaling pathway provides a potential therapeutic strategy for breast patients undergoing psychological stress. Collectively, our findings unveil that PYCR1-enhanced proline synthesis displays a critical role in maintaining breast cancer stemness.
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Affiliation(s)
- Bai Cui
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Bin He
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
- State Key Laboratory of Oncology in South China, Cancer Center, Sun Yat-sen University, Guangzhou, China
| | - Yanping Huang
- Department of Oncology, the First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Cenxin Wang
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Huandong Luo
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Jinxin Lu
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Keyu Su
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Xiaoyu Zhang
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Yuanyuan Luo
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
| | - Zhuoran Zhao
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Yuqing Yang
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Yunkun Zhang
- Department of Pathology, The Second Hospital of Dalian Medical University, Dalian, China
| | - Fan An
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Hong Wang
- Department of Orthopaedics, The Central Hospital of Dalian University of Technology, Dalian, China
| | - Eric W-F Lam
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Keith W Kelley
- Department of Pathology, College of Medicine and Department of Animal Sciences, College of ACES, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Ling Wang
- Department of Oncology, the First Affiliated Hospital of Dalian Medical University, Dalian, China.
| | - Quentin Liu
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China.
- State Key Laboratory of Oncology in South China, Cancer Center, Sun Yat-sen University, Guangzhou, China.
| | - Fei Peng
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China.
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Xu T, Wu Z, Yuan Q, Zhang X, Liu Y, Wu C, Song M, Wu J, Jiang J, Wang Z, Chen Z, Zhang M, Huang M, Ji N. Proline is increased in allergic asthma and promotes airway remodeling. JCI Insight 2023; 8:e167395. [PMID: 37432745 PMCID: PMC10543727 DOI: 10.1172/jci.insight.167395] [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: 11/28/2022] [Accepted: 07/06/2023] [Indexed: 07/12/2023] Open
Abstract
Proline and its synthesis enzyme pyrroline-5-carboxylate reductase 1 (PYCR1) are implicated in epithelial-mesenchymal transition (EMT), yet how proline and PYCR1 function in allergic asthmatic airway remodeling via EMT has not yet been addressed to our knowledge. In the present study, increased levels of plasma proline and PYCR1 were observed in patients with asthma. Similarly, proline and PYCR1 in lung tissues were high in a murine allergic asthma model induced by house dust mites (HDMs). Pycr1 knockout decreased proline in lung tissues, with reduced airway remodeling and EMT. Mechanistically, loss of Pycr1 restrained HDM-induced EMT by modulating mitochondrial fission, metabolic reprogramming, and the AKT/mTORC1 and WNT3a/β-catenin signaling pathways in airway epithelial cells. Therapeutic inhibition of PYCR1 in wild-type mice disrupted HDM-induced airway inflammation and remodeling. Deprivation of exogenous proline relieved HDM-induced airway remodeling to some extent. Collectively, this study illuminates that proline and PYCR1 involved with airway remodeling in allergic asthma could be viable targets for asthma treatment.
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Affiliation(s)
- Tingting Xu
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Zhenzhen Wu
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Qi Yuan
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xijie Zhang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yanan Liu
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Chaojie Wu
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Meijuan Song
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jingjing Wu
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jingxian Jiang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Zhengxia Wang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Zhongqi Chen
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Mingshun Zhang
- NHC Key Laboratory of Antibody Technique, Jiangsu Province Engineering Research Center of Antibody Drug, Department of Immunology, Nanjing Medical University, Nanjing, China
| | - Mao Huang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Ningfei Ji
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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10
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Matamala Montoya M, van Slobbe GJJ, Chang JC, Zaal EA, Berkers CR. Metabolic changes underlying drug resistance in the multiple myeloma tumor microenvironment. Front Oncol 2023; 13:1155621. [PMID: 37091139 PMCID: PMC10117897 DOI: 10.3389/fonc.2023.1155621] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 03/21/2023] [Indexed: 04/08/2023] Open
Abstract
Multiple myeloma (MM) is characterized by the clonal expansion of malignant plasma cells in the bone marrow (BM). MM remains an incurable disease, with the majority of patients experiencing multiple relapses from different drugs. The MM tumor microenvironment (TME) and in particular bone-marrow stromal cells (BMSCs) play a crucial role in the development of drug resistance. Metabolic reprogramming is emerging as a hallmark of cancer that can potentially be exploited for cancer treatment. Recent studies show that metabolism is further adjusted in MM cells during the development of drug resistance. However, little is known about the role of BMSCs in inducing metabolic changes that are associated with drug resistance. In this Perspective, we summarize current knowledge concerning the metabolic reprogramming of MM, with a focus on those changes associated with drug resistance to the proteasome inhibitor Bortezomib (BTZ). In addition, we present proof-of-concept fluxomics (glucose isotope-tracing) and Seahorse data to show that co-culture of MM cells with BMSCs skews the metabolic phenotype of MM cells towards a drug-resistant phenotype, with increased oxidative phosphorylation (OXPHOS), serine synthesis pathway (SSP), TCA cycle and glutathione (GSH) synthesis. Given the crucial role of BMSCs in conveying drug resistance, insights into the metabolic interaction between MM and BMSCs may ultimately aid in the identification of novel metabolic targets that can be exploited for therapy.
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Affiliation(s)
- María Matamala Montoya
- Division Cell Biology, Metabolism & Cancer, Department Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Utrecht, Netherlands
| | - Gijs J. J. van Slobbe
- Division Cell Biology, Metabolism & Cancer, Department Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands
| | - Jung-Chin Chang
- Division Cell Biology, Metabolism & Cancer, Department Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands
| | - Esther A. Zaal
- Division Cell Biology, Metabolism & Cancer, Department Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands
- *Correspondence: Celia R. Berkers, ; Esther A. Zaal,
| | - Celia R. Berkers
- Division Cell Biology, Metabolism & Cancer, Department Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands
- *Correspondence: Celia R. Berkers, ; Esther A. Zaal,
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11
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Metabolic Alterations in Multiple Myeloma: From Oncogenesis to Proteasome Inhibitor Resistance. Cancers (Basel) 2023; 15:cancers15061682. [PMID: 36980568 PMCID: PMC10046772 DOI: 10.3390/cancers15061682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 03/06/2023] [Accepted: 03/07/2023] [Indexed: 03/12/2023] Open
Abstract
Despite significant improvements in treatment strategies over the past couple of decades, multiple myeloma (MM) remains an incurable disease due to the development of drug resistance. Metabolic reprogramming is a key feature of cancer cells, including MM, and acts to fuel increased proliferation, create a permissive tumour microenvironment, and promote drug resistance. This review presents an overview of the key metabolic adaptations that occur in MM pathogenesis and in the development of resistance to proteasome inhibitors, the backbone of current MM therapy, and considers the potential for therapeutic targeting of key metabolic pathways to improve outcomes.
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12
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Zhang J, Shi F, Liu X, Wu X, Hu C, Guo J, Yang Q, Xia J, He Y, An G, Qiu L, Feng X, Zhou W. Proline promotes proliferation and drug resistance of multiple myeloma by downregulation of proline dehydrogenase. Br J Haematol 2023; 201:704-717. [PMID: 36755409 DOI: 10.1111/bjh.18684] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 12/28/2022] [Accepted: 01/25/2023] [Indexed: 02/10/2023]
Abstract
Amino acids in the bone marrow microenvironment (BMME) are a critical factor for multiple myeloma (MM) progression. Here, we have determined that proline is elevated in BMME of MM patients and links to poor prognosis in MM. Moreover, exogenous proline regulates MM cell proliferation and drug resistance. Elevated proline in BMME is due to bone collagen degradation and abnormal expression of the key enzyme of proline catabolism, proline dehydrogenase (PRODH). PRODH is downregulated in MM patients, mainly as a result of promoter hypermethylation with high expression of DNMT3b. Thus, overexpression of PRODH suppresses cell proliferation and drug resistance of MM and exhibits therapeutic potential for treatment of MM. Altogether, we identify proline as a key metabolic regulator of MM, unveil PRODH governing MM progression and provide a promising therapeutic strategy for MM treatment.
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Affiliation(s)
- Jingyu Zhang
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Department of Hematology, Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - Fangming Shi
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Department of Hematology, Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - Xing Liu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Department of Hematology, Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - Xuan Wu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Department of Hematology, Xiangya Hospital, Central South University, Changsha, China
| | - Cong Hu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Department of Hematology, Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - Jiaojiao Guo
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Department of Hematology, Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - Qin Yang
- Department of Hematology, Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jiliang Xia
- Hunan Province Key Laboratory of Tumor Cellular & Molecular Pathology, Cancer Research Institute, Hengyang Medical College, University of South China, Hengyang, Hunan, China
| | - Yanjuan He
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Department of Hematology, Xiangya Hospital, Central South University, Changsha, China
| | - Gang An
- State Key Laboratory of Experimental Hematology, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, China
| | - Lugui Qiu
- State Key Laboratory of Experimental Hematology, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, China
| | - Xiangling Feng
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Department of Hematology, Xiangya Hospital, Central South University, Changsha, China.,Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Wen Zhou
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Department of Hematology, Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
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13
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Daudu OI, Meeks KR, Zhang L, Seravalli J, Tanner JJ, Becker DF. Functional Impact of a Cancer-Related Variant in Human Δ 1-Pyrroline-5-Carboxylate Reductase 1. ACS OMEGA 2023; 8:3509-3519. [PMID: 36713721 PMCID: PMC9878632 DOI: 10.1021/acsomega.2c07788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 12/26/2022] [Indexed: 05/23/2023]
Abstract
Pyrroline-5-carboxylate reductase (PYCR) is a proline biosynthetic enzyme that catalyzes the NAD(P)H-dependent reduction of Δ1-pyrroline-5-carboxylate (P5C) to proline. Humans have three PYCR isoforms, with PYCR1 often upregulated in different types of cancers. Here, we studied the biochemical and structural properties of the Thr171Met variant of PYCR1, which is found in patients with malignant melanoma and lung adenocarcinoma. Although PYCR1 is strongly associated with cancer progression, characterization of a PYCR1 variant in cancer patients has not yet been reported. Thr171 is conserved in all three PYCR isozymes and is located near the P5C substrate binding site. We found that the amino acid replacement does not affect thermostability but has a profound effect on PYCR1 catalytic activity. The k cat of the PYCR1 variant T171M is 100- to 200-fold lower than wild-type PYCR1 when P5C is the variable substrate, and 10- to 25-fold lower when NAD(P)H is varied. A 1.84 Å resolution X-ray crystal structure of T171M reveals that the Met side chain invades the P5C substrate binding site, suggesting that the catalytic defect is due to steric clash preventing P5C from achieving the optimal pose for hydride transfer from NAD(P)H. These results suggest that any impact on PYCR1 function associated with T171M in cancer does not derive from increased catalytic activity.
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Affiliation(s)
- Oseeyi I. Daudu
- Department
of Biochemistry, Redox Biology Center, University
of Nebraska, Lincoln, Nebraska 68588, United States
| | - Kaylen R. Meeks
- Department
of Biochemistry, University of Missouri, Columbia, Missouri 65211, United States
| | - Lu Zhang
- Department
of Biochemistry, Redox Biology Center, University
of Nebraska, Lincoln, Nebraska 68588, United States
| | - Javier Seravalli
- Department
of Biochemistry, Redox Biology Center, University
of Nebraska, Lincoln, Nebraska 68588, United States
| | - John J. Tanner
- Department
of Biochemistry, University of Missouri, Columbia, Missouri 65211, United States
- Department
of Chemistry, University of Missouri, Columbia, Missouri 65211, United States
| | - Donald F. Becker
- Department
of Biochemistry, Redox Biology Center, University
of Nebraska, Lincoln, Nebraska 68588, United States
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14
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Wang F, Su Q, Li C. Identidication of novel biomarkers in non-small cell lung cancer using machine learning. Sci Rep 2022; 12:16693. [PMID: 36202977 PMCID: PMC9537298 DOI: 10.1038/s41598-022-21050-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 09/22/2022] [Indexed: 11/16/2022] Open
Abstract
Lung cancer is one of the leading causes of cancer-related deaths worldwide, and non-small cell lung cancer (NSCLC) accounts for a large proportion of lung cancer cases, with few diagnostic and therapeutic targets currently available for NSCLC. This study aimed to identify specific biomarkers for NSCLC. We obtained three gene-expression profiles from the Gene Expression Omnibus database (GSE18842, GSE21933, and GSE32863) and screened for differentially expressed genes (DEGs) between NSCLC and normal lung tissue. Enrichment analyses were performed using Gene Ontology, Disease Ontology, and the Kyoto Encyclopedia of Genes and Genomes. Machine learning methods were used to identify the optimal diagnostic biomarkers for NSCLC using least absolute shrinkage and selection operator logistic regression, and support vector machine recursive feature elimination. CIBERSORT was used to assess immune cell infiltration in NSCLC and the correlation between biomarkers and immune cells. Finally, using western blot, small interfering RNA, Cholecystokinin-8, and transwell assays, the biological functions of biomarkers with high predictive value were validated. A total of 371 DEGs (165 up-regulated genes and 206 down-regulated genes) were identified, and enrichment analysis revealed that these DEGs might be linked to the development and progression of NSCLC. ABCA8, ADAMTS8, ASPA, CEP55, FHL1, PYCR1, RAMP3, and TPX2 genes were identified as novel diagnostic biomarkers for NSCLC. Monocytes were the most visible activated immune cells in NSCLC. The knockdown of the TPX2 gene, a biomarker with a high predictive value, inhibited A549 cell proliferation and migration. This study identified eight potential diagnostic biomarkers for NSCLC. Further, the TPX2 gene may be a therapeutic target for NSCLC.
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Affiliation(s)
- Fangwei Wang
- Department of Respiratory Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Qisheng Su
- Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Chaoqian Li
- Department of Respiratory Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China.
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15
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Li Y, Xu J, Bao P, Wei Z, Pan L, Zhou J, Wang W. Survival and clinicopathological significance of PYCR1 expression in cancer: A meta-analysis. Front Oncol 2022; 12:985613. [PMID: 36119513 PMCID: PMC9480090 DOI: 10.3389/fonc.2022.985613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 08/08/2022] [Indexed: 11/29/2022] Open
Abstract
Background Proline metabolism is closely related to the occurrence and development of cancer. Δ1-Pyrroline-5-carboxylate reductase (PYCR) is the last enzyme in proline biosynthesis. As one of the enzyme types, PYCR1 takes part in the whole process of the growth, invasion, and drug resistance of cancer cells. This study investigated PYCR1 expressions in cancers together with their relationship to clinical prognosis. Methods A thorough database search was performed in PubMed, EMBASE, and Cochrane Library. RevMan5.3 software was used for the statistical analysis. Results Eight articles were selected, and 728 cancer patients were enrolled. The cancer types include lung, stomach, pancreatic ductal adenocarcinoma, hepatocellular carcinoma, and renal cell carcinoma. The meta-analysis results showed that the expression of PYCR1 was higher in the clinical stage III–IV group than that in the clinical stage I–II group (OR = 1.67, 95%CI: 1.03–2.71), higher in the lymph node metastasis group than in the non-lymph node metastasis group (OR = 1.57, 95%CI: 1.06–2.33), and higher in the distant metastasis group than in the non-distant metastasis group (OR = 3.46, 95%CI: 1.64–7.29). However, there was no statistical difference in PYCR1 expression between different tumor sizes (OR = 1.50, 95%CI: 0.89–2.53) and degrees of differentiation (OR = 0.82, 95%CI: 0.54–1.24). Conclusion PYCR1 had a high expression in various cancers and was associated with cancer volume and metastasis. The higher the PYCR1 expression was, the poorer the cancer prognosis was. The molecular events and biological processes mediated by PYCR1 might be the underlying mechanisms of metastasis.
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Affiliation(s)
- Yue Li
- Department of Respiratory and Critical Care Medicine, The First Hospital of China Medical University, Shenyang, China
| | - Jiahuan Xu
- Department of Respiratory and Critical Care Medicine, The First Hospital of China Medical University, Shenyang, China
| | | | - Zhijing Wei
- Department of Respiratory and Critical Care Medicine, The First Hospital of China Medical University, Shenyang, China
| | - Lei Pan
- Department of Respiratory and Critical Care Medicine, The First Hospital of China Medical University, Shenyang, China
| | - Jiawei Zhou
- Department of Respiratory and Critical Care Medicine, The First Hospital of China Medical University, Shenyang, China
| | - Wei Wang
- Department of Respiratory and Critical Care Medicine, The First Hospital of China Medical University, Shenyang, China
- *Correspondence: Wei Wang,
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16
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Oudaert I, Van der Vreken A, Maes A, De Bruyne E, De Veirman K, Vanderkerken K, Menu E. Metabolic cross-talk within the bone marrow milieu: focus on multiple myeloma. Exp Hematol Oncol 2022; 11:49. [PMID: 36050788 PMCID: PMC9438316 DOI: 10.1186/s40164-022-00303-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 08/23/2022] [Indexed: 11/17/2022] Open
Abstract
Cancer cells are well-known for their capacity to adapt their metabolism to their increasing energy demands which is necessary for tumor progression. This is no different for Multiple Myeloma (MM), a hematological cancer which develops in the bone marrow (BM), whereby the malignant plasma cells accumulate and impair normal BM functions. It has become clear that the hypoxic BM environment contributes to metabolic rewiring of the MM cells, including changes in metabolite levels, increased/decreased activity of metabolic enzymes and metabolic shifts. These adaptations will lead to a pro-tumoral environment stimulating MM growth and drug resistance In this review, we discuss the identified metabolic changes in MM and the BM microenvironment and summarize how these identified changes have been targeted (by inhibitors, genetic approaches or deprivation studies) in order to block MM progression and survival.
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Affiliation(s)
- Inge Oudaert
- Department of Hematology and Immunology, Myeloma Center Brussels, Vrije Universiteit Brussel, 1090, Brussels, Belgium
| | - Arne Van der Vreken
- Department of Hematology and Immunology, Myeloma Center Brussels, Vrije Universiteit Brussel, 1090, Brussels, Belgium
| | - Anke Maes
- Department of Hematology and Immunology, Myeloma Center Brussels, Vrije Universiteit Brussel, 1090, Brussels, Belgium
| | - Elke De Bruyne
- Department of Hematology and Immunology, Myeloma Center Brussels, Vrije Universiteit Brussel, 1090, Brussels, Belgium
| | - Kim De Veirman
- Department of Hematology and Immunology, Myeloma Center Brussels, Vrije Universiteit Brussel, 1090, Brussels, Belgium
| | - Karin Vanderkerken
- Department of Hematology and Immunology, Myeloma Center Brussels, Vrije Universiteit Brussel, 1090, Brussels, Belgium
| | - Eline Menu
- Department of Hematology and Immunology, Myeloma Center Brussels, Vrije Universiteit Brussel, 1090, Brussels, Belgium.
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17
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Vlummens P, Verhulst S, De Veirman K, Maes A, Menu E, Moreaux J, De Boussac H, Robert N, De Bruyne E, Hose D, Offner F, Vanderkerken K, Maes K. Inhibition of the Protein Arginine Methyltransferase PRMT5 in High-Risk Multiple Myeloma as a Novel Treatment Approach. Front Cell Dev Biol 2022; 10:879057. [PMID: 35757005 PMCID: PMC9213887 DOI: 10.3389/fcell.2022.879057] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 05/06/2022] [Indexed: 11/13/2022] Open
Abstract
Multiple myeloma (MM) is an incurable clonal plasma cell malignancy. Subsets of patients have high-risk features linked with dismal outcome. Therefore, the need for effective therapeutic options remains high. Here, we used bio-informatic tools to identify novel targets involved in DNA repair and epigenetics and which are associated with high-risk myeloma. The prognostic significance of the target genes was analyzed using publicly available gene expression data of MM patients (TT2/3 and HM cohorts). Hence, protein arginine methyltransferase 5 (PRMT5) was identified as a promising target. Druggability was assessed in OPM2, JJN3, AMO1 and XG7 human myeloma cell lines using the PRMT5-inhibitor EPZ015938. EPZ015938 strongly reduced the total symmetric-dimethyl arginine levels in all cell lines and lead to decreased cellular growth, supported by cell line dependent changes in cell cycle distribution. At later time points, apoptosis occurred, as evidenced by increased AnnexinV-positivity and cleavage of PARP and caspases. Transcriptome analysis revealed a role for PRMT5 in regulating alternative splicing, nonsense-mediated decay, DNA repair and PI3K/mTOR-signaling, irrespective of the cell line type. PRMT5 inhibition reduced the expression of upstream DNA repair kinases ATM and ATR, which may in part explain our observation that EPZ015938 and the DNA-alkylating agent, melphalan, have combinatory effects. Of interest, using a low-dose of mTOR-inhibitor, we observed that cell viability was partially rescued from the effects of EPZ015938, indicating a role for mTOR-related pathways in the anti-myeloma activity of EPZ015938. Moreover, PRMT5 was shown to be involved in splicing regulation of MMSET and SLAMF7, known genes of importance in MM disease. As such, we broaden the understanding of the exact role of PRMT5 in MM disease and further underline its use as a possible therapeutic target.
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Affiliation(s)
- Philip Vlummens
- Department of Hematology and Immunology, Vrije Universiteit Brussel (VUB), Brussels, Belgium.,Department of Clinical Hematology, Ghent University Hospital, Ghent, Belgium
| | - Stefaan Verhulst
- Liver Cell Biology Lab, Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Kim De Veirman
- Department of Hematology and Immunology, Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Anke Maes
- Department of Hematology and Immunology, Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Eline Menu
- Department of Hematology and Immunology, Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Jérome Moreaux
- CHU Montpellier, Laboratory for Monitoring Innovative Therapies, Department of Biological Hematology, Montpellier, France.,Department of Biological Hematology, CHU Montpellier, Montpellier, France.,Institut Universitaire de France, IUF, Paris, France
| | - Hugues De Boussac
- CHU Montpellier, Laboratory for Monitoring Innovative Therapies, Department of Biological Hematology, Montpellier, France
| | - Nicolas Robert
- CHU Montpellier, Laboratory for Monitoring Innovative Therapies, Department of Biological Hematology, Montpellier, France
| | - Elke De Bruyne
- Department of Hematology and Immunology, Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Dirk Hose
- Department of Hematology and Immunology, Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Fritz Offner
- Department of Clinical Hematology, Ghent University Hospital, Ghent, Belgium
| | - Karin Vanderkerken
- Department of Hematology and Immunology, Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Ken Maes
- Department of Hematology and Immunology, Vrije Universiteit Brussel (VUB), Brussels, Belgium.,Center for Medical Genetics, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ), Brussels, Belgium
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