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Bailly C. Covalent binding of withanolides to cysteines of protein targets. Biochem Pharmacol 2024; 226:116405. [PMID: 38969301 DOI: 10.1016/j.bcp.2024.116405] [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: 03/29/2024] [Revised: 05/26/2024] [Accepted: 07/01/2024] [Indexed: 07/07/2024]
Abstract
Withanolides represent an important category of natural products with a steroidal lactone core. Many of them contain an α,β-unsaturated carbonyl moiety with a high reactivity toward sulfhydryl groups, including protein cysteine thiols. Different withanolides endowed with marked antitumor and anti-inflammatory have been shown to form stable covalent complexes with exposed cysteines present in the active site of oncogenic kinases (BTK, IKKβ, Zap70), metabolism enzymes (Prdx-1/6, Pin1, PHGDH), transcription factors (Nrf2, NFκB, C/EBPβ) and other structural and signaling molecules (GFAP, β-tubulin, p97, Hsp90, vimentin, Mpro, IPO5, NEMO, …). The present review analyzed the covalent complexes formed through Michael addition alkylation reactions between six major withanolides (withaferin A, physalin A, withangulatin A, 4β-hydroxywithanolide E, withanone and tubocapsanolide A) and key cysteine residues of about 20 proteins and the resulting biological effects. The covalent conjugation of the α,β-unsaturated carbonyl system of withanolides with reactive protein thiols can occur with a large set of soluble and membrane proteins. It points to a general mechanism, well described with the leading natural product withaferin A, but likely valid for most withanolides harboring a reactive (electrophilic) enone moiety susceptible to react covalently with cysteinyl residues of proteins. The multiplicity of reactive proteins should be taken into account when studying the mechanism of action of new withanolides. Proteomic and network analyses shall be implemented to capture and compare the cysteine covalent-binding map for the major withanolides, so as to identify the protein targets at the origin of their activity and/or unwanted effects. Screening of the cysteinome will help understanding the mechanism of action and designing cysteine-reactive electrophilic drug candidates.
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Affiliation(s)
- Christian Bailly
- CNRS, Inserm, CHU Lille, UMR9020-U1277-CANTHER-Cancer Heterogeneity Plasticity and Resistance to Therapies, OncoLille Institute, University of Lille, F-59000 Lille, France; Institute of Pharmaceutical Chemistry Albert Lespagnol (ICPAL), Faculty of Pharmacy, University of Lille, F-59006 Lille, France; OncoWitan, Scientific Consulting Office, F-59290 Lille, France.
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Lee Y, Vousden KH, Hennequart M. Cycling back to folate metabolism in cancer. NATURE CANCER 2024; 5:701-715. [PMID: 38698089 PMCID: PMC7616045 DOI: 10.1038/s43018-024-00739-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 01/30/2024] [Indexed: 05/05/2024]
Abstract
Metabolic changes contribute to cancer initiation and progression through effects on cancer cells, the tumor microenvironment and whole-body metabolism. Alterations in serine metabolism and the control of one-carbon cycles have emerged as critical for the development of many tumor types. In this Review, we focus on the mitochondrial folate cycle. We discuss recent evidence that, in addition to supporting nucleotide synthesis, mitochondrial folate metabolism also contributes to metastasis through support of antioxidant defense, mitochondrial protein synthesis and the overflow of excess formate. These observations offer potential therapeutic opportunities, including the modulation of formate metabolism through dietary interventions and the use of circulating folate cycle metabolites as biomarkers for cancer detection.
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Affiliation(s)
| | | | - Marc Hennequart
- The Francis Crick Institute, London, UK
- Namur Research Institute for Life Sciences (NARILIS), Molecular Physiology Unit (URPHYM), University of Namur, Namur, Belgium
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3
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Cao XY, Li X, Wang F, Duan Y, Wu X, Lin GQ, Geng M, Huang M, Tian P, Tang S, Gao D. Identification of benzo[b]thiophene-1,1-dioxide derivatives as novel PHGDH covalent inhibitors. Bioorg Chem 2024; 146:107330. [PMID: 38579615 DOI: 10.1016/j.bioorg.2024.107330] [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: 01/01/2024] [Revised: 03/28/2024] [Accepted: 04/01/2024] [Indexed: 04/07/2024]
Abstract
The increased de novo serine biosynthesis confers many advantages for tumorigenesis and metastasis. Phosphoglycerate dehydrogenase (PHGDH), a rate-limiting enzyme in serine biogenesis, exhibits hyperactivity across multiple tumors and emerges as a promising target for cancer treatment. Through screening our in-house compound library, we identified compound Stattic as a potent PHGDH inhibitor (IC50 = 1.98 ± 0.66 µM). Subsequent exploration in structural activity relationships led to the discovery of compound B12 that demonstrated the increased enzymatic inhibitory activity (IC50 = 0.29 ± 0.02 μM). Furthermore, B12 exhibited robust inhibitory effects on the proliferation of MDA-MB-468, NCI-H1975, HT1080 and PC9 cells that overexpress PHGDH. Additionally, using a [U-13C6]-glucose tracing assay, B12 was found to reduce the production of glucose-derived serine in MDA-MB-468 cells. Finally, mass spectrometry-based peptide profiling, mutagenesis experiment and molecular docking study collectively suggested that B12 formed a covalent bond with Cys421 of PHGDH.
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Affiliation(s)
- Xin-Yu Cao
- The Research Center of Chiral Drugs, Shanghai Frontiers Science Center for TCM Chemical Biology, Innovation Research Institute of Traditional Chinese Medicine,Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Xinge Li
- Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences; State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Feng Wang
- The Research Center of Chiral Drugs, Shanghai Frontiers Science Center for TCM Chemical Biology, Innovation Research Institute of Traditional Chinese Medicine,Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Yichen Duan
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Xingmei Wu
- The Research Center of Chiral Drugs, Shanghai Frontiers Science Center for TCM Chemical Biology, Innovation Research Institute of Traditional Chinese Medicine,Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Guo-Qiang Lin
- The Research Center of Chiral Drugs, Shanghai Frontiers Science Center for TCM Chemical Biology, Innovation Research Institute of Traditional Chinese Medicine,Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Meiyu Geng
- Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences; State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China; Shandong Laboratory of Yantai Drug Discovery, Bohai Rim Advanced Research Institute for Drug Discovery, Yantai 264100, China
| | - Min Huang
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China; Shandong Laboratory of Yantai Drug Discovery, Bohai Rim Advanced Research Institute for Drug Discovery, Yantai 264100, China
| | - Ping Tian
- The Research Center of Chiral Drugs, Shanghai Frontiers Science Center for TCM Chemical Biology, Innovation Research Institute of Traditional Chinese Medicine,Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
| | - Shuai Tang
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China; Shandong Laboratory of Yantai Drug Discovery, Bohai Rim Advanced Research Institute for Drug Discovery, Yantai 264100, China.
| | - Dingding Gao
- The Research Center of Chiral Drugs, Shanghai Frontiers Science Center for TCM Chemical Biology, Innovation Research Institute of Traditional Chinese Medicine,Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
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Yamamoto T, Hayashida T, Masugi Y, Oshikawa K, Hayakawa N, Itoh M, Nishime C, Suzuki M, Nagayama A, Kawai Y, Hishiki T, Matsuura T, Naito Y, Kubo A, Yamamoto A, Yoshioka Y, Kurahori T, Nagasaka M, Takizawa M, Takano N, Kawakami K, Sakamoto M, Wakui M, Yamamoto T, Kitagawa Y, Kabe Y, Horisawa K, Suzuki A, Matsumoto M, Suematsu M. PRMT1 Sustains De Novo Fatty Acid Synthesis by Methylating PHGDH to Drive Chemoresistance in Triple-Negative Breast Cancer. Cancer Res 2024; 84:1065-1083. [PMID: 38383964 PMCID: PMC10982647 DOI: 10.1158/0008-5472.can-23-2266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 12/20/2023] [Accepted: 02/05/2024] [Indexed: 02/23/2024]
Abstract
Triple-negative breast cancer (TNBC) chemoresistance hampers the ability to effectively treat patients. Identification of mechanisms driving chemoresistance can lead to strategies to improve treatment. Here, we revealed that protein arginine methyltransferase-1 (PRMT1) simultaneously methylates D-3-phosphoglycerate dehydrogenase (PHGDH), a critical enzyme in serine synthesis, and the glycolytic enzymes PFKFB3 and PKM2 in TNBC cells. 13C metabolic flux analyses showed that PRMT1-dependent methylation of these three enzymes diverts glucose toward intermediates in the serine-synthesizing and serine/glycine cleavage pathways, thereby accelerating the production of methyl donors in TNBC cells. Mechanistically, PRMT1-dependent methylation of PHGDH at R54 or R20 activated its enzymatic activity by stabilizing 3-phosphoglycerate binding and suppressing polyubiquitination. PRMT1-mediated PHGDH methylation drove chemoresistance independently of glutathione synthesis. Rather, activation of the serine synthesis pathway supplied α-ketoglutarate and citrate to increase palmitate levels through activation of fatty acid synthase (FASN). Increased palmitate induced protein S-palmitoylation of PHGDH and FASN to further enhance fatty acid synthesis in a PRMT1-dependent manner. Loss of PRMT1 or pharmacologic inhibition of FASN or protein S-palmitoyltransferase reversed chemoresistance in TNBC. Furthermore, IHC coupled with imaging MS in clinical TNBC specimens substantiated that PRMT1-mediated methylation of PHGDH, PFKFB3, and PKM2 correlates with chemoresistance and that metabolites required for methylation and fatty acid synthesis are enriched in TNBC. Together, these results suggest that enhanced de novo fatty acid synthesis mediated by coordinated protein arginine methylation and protein S-palmitoylation is a therapeutic target for overcoming chemoresistance in TNBC. SIGNIFICANCE PRMT1 promotes chemoresistance in TNBC by methylating metabolic enzymes PFKFB3, PKM2, and PHGDH to augment de novo fatty acid synthesis, indicating that targeting this axis is a potential treatment strategy.
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Affiliation(s)
- Takehiro Yamamoto
- Department of Biochemistry, Keio University School of Medicine, Tokyo, Japan
| | - Tetsu Hayashida
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Yohei Masugi
- Department of Pathology, Keio University School of Medicine, Tokyo, Japan
| | - Kiyotaka Oshikawa
- Department of Omics and Systems Biology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Noriyo Hayakawa
- Central Institute for Experimental Medicine and Life Science, Kawasaki, Japan
| | - Mai Itoh
- Central Institute for Experimental Medicine and Life Science, Kawasaki, Japan
| | - Chiyoko Nishime
- Central Institute for Experimental Medicine and Life Science, Kawasaki, Japan
| | - Masami Suzuki
- Central Institute for Experimental Medicine and Life Science, Kawasaki, Japan
| | - Aiko Nagayama
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Yuko Kawai
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Takako Hishiki
- Department of Biochemistry, Keio University School of Medicine, Tokyo, Japan
| | - Tomomi Matsuura
- Clinical Translational Research Center, Keio University Hospital, Tokyo, Japan
| | - Yoshiko Naito
- Clinical Translational Research Center, Keio University Hospital, Tokyo, Japan
| | - Akiko Kubo
- Department of Biochemistry, Keio University School of Medicine, Tokyo, Japan
| | - Arisa Yamamoto
- Department of Biochemistry, Keio University School of Medicine, Tokyo, Japan
| | - Yujiro Yoshioka
- Department of Biochemistry, Keio University School of Medicine, Tokyo, Japan
| | - Tomokazu Kurahori
- Department of Biochemistry, Keio University School of Medicine, Tokyo, Japan
| | - Misa Nagasaka
- Department of Biochemistry, Keio University School of Medicine, Tokyo, Japan
| | - Minako Takizawa
- Department of Biochemistry, Keio University School of Medicine, Tokyo, Japan
| | - Naoharu Takano
- Department of Biochemistry, Keio University School of Medicine, Tokyo, Japan
| | - Koji Kawakami
- Department of Biochemistry, Keio University School of Medicine, Tokyo, Japan
| | - Michiie Sakamoto
- Department of Pathology, Keio University School of Medicine, Tokyo, Japan
| | - Masatoshi Wakui
- Department of Laboratory Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Takushi Yamamoto
- Solutions COE Analytical & Measuring Instruments Division, Shimadzu Corporation, Kyoto, Japan
| | - Yuko Kitagawa
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Yasuaki Kabe
- Department of Biochemistry, Keio University School of Medicine, Tokyo, Japan
| | - Kenichi Horisawa
- Division of Organogenesis and Regeneration, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan
| | - Atsushi Suzuki
- Division of Organogenesis and Regeneration, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan
| | - Masaki Matsumoto
- Department of Omics and Systems Biology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Makoto Suematsu
- Central Institute for Experimental Medicine and Life Science, Kawasaki, Japan
- Keio University WPI-Bio2Q Research Center, Tokyo, Japan
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Wang W, Li W, Liu W, Wang Z, Xie B, Yang X, Tang Z. Exploring Multi-Tissue Alternative Splicing and Skeletal Muscle Metabolism Regulation in Obese- and Lean-Type Pigs. Genes (Basel) 2024; 15:196. [PMID: 38397185 PMCID: PMC10888101 DOI: 10.3390/genes15020196] [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: 01/08/2024] [Revised: 01/26/2024] [Accepted: 01/28/2024] [Indexed: 02/25/2024] Open
Abstract
Alternative splicing (AS) is a crucial mechanism in post-transcriptional regulation, contributing significantly to the diversity of the transcriptome and proteome. In this study, we performed a comprehensive AS profile in nine tissues obtained from Duroc (lean-type) and Luchuan (obese-type) pigs. Notably, 94,990 AS events from 14,393 genes were identified. Among these AS events, it was observed that 80% belonged to the skipped exon (SE) type. Functional enrichment analysis showed that genes with more than ten AS events were closely associated with tissue-specific functions. Additionally, the analysis of overlap between differentially alternative splicing genes (DSGs) and differentially expressed genes (DEGs) revealed the highest number of overlapped genes in the heart and skeletal muscle. The novelty of our study is that it identified and validated three genes (PYGM, MAPK11 and CAMK2B) in the glucagon signaling pathway, and their alternative splicing differences were highly significant across two pig breeds. In conclusion, our study offers novel insights into the molecular regulation of diverse tissue physiologies and the phenotypic differences between obese- and lean-type pigs, which are helpful for pig breeding.
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Affiliation(s)
- Wei Wang
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education and Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan 430070, China;
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Foshan 528226, China; (W.L.); (W.L.); (Z.W.)
| | - Wangchang Li
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Foshan 528226, China; (W.L.); (W.L.); (Z.W.)
- Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, College of Animal Science & Technology, Guangxi University, Nanning 530004, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Weiwei Liu
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Foshan 528226, China; (W.L.); (W.L.); (Z.W.)
- Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, College of Animal Science & Technology, Guangxi University, Nanning 530004, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Zishuai Wang
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Foshan 528226, China; (W.L.); (W.L.); (Z.W.)
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Bingkun Xie
- Animal Husbandry Research Institute, Guangxi Vocational University of Agriculture, Nanning 530001, China;
| | - Xiaogan Yang
- Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, College of Animal Science & Technology, Guangxi University, Nanning 530004, China
| | - Zhonglin Tang
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education and Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan 430070, China;
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Foshan 528226, China; (W.L.); (W.L.); (Z.W.)
- Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, College of Animal Science & Technology, Guangxi University, Nanning 530004, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
- Animal Husbandry Research Institute, Guangxi Vocational University of Agriculture, Nanning 530001, China;
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Zhu D, Zhu Y, Liu L, He X, Fu S. Metabolomic analysis of vascular cognitive impairment due to hepatocellular carcinoma. Front Neurol 2023; 13:1109019. [PMID: 37008043 PMCID: PMC10062391 DOI: 10.3389/fneur.2022.1109019] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Accepted: 12/26/2022] [Indexed: 03/18/2023] Open
Abstract
IntroductionScreening for metabolically relevant differentially expressed genes (DEGs) shared by hepatocellular carcinoma (HCC) and vascular cognitive impairment (VCI) to explore the possible mechanisms of HCC-induced VCI.MethodsBased on metabolomic and gene expression data for HCC and VCI, 14 genes were identified as being associated with changes in HCC metabolites, and 71 genes were associated with changes in VCI metabolites. Multi-omics analysis was used to screen 360 DEGs associated with HCC metabolism and 63 DEGs associated with VCI metabolism.ResultsAccording to the Cancer Genome Atlas (TCGA) database, 882 HCC-associated DEGs were identified and 343 VCI-associated DEGs were identified. Eight genes were found at the intersection of these two gene sets: NNMT, PHGDH, NR1I2, CYP2J2, PON1, APOC2, CCL2, and SOCS3. The HCC metabolomics prognostic model was constructed and proved to have a good prognostic effect. The HCC metabolomics prognostic model was constructed and proved to have a good prognostic effect. Following principal component analyses (PCA), functional enrichment analyses, immune function analyses, and TMB analyses, these eight DEGs were identified as possibly affecting HCC-induced VCI and the immune microenvironment. As well as gene expression and gene set enrichment analyses (GSEA), a potential drug screen was conducted to investigate the possible mechanisms involved in HCC-induced VCI. The drug screening revealed the potential clinical efficacy of A-443654, A-770041, AP-24534, BI-2536, BMS- 509744, CGP-60474, and CGP-082996.ConclusionHCC-associated metabolic DEGs may influence the development of VCI in HCC patients.
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Affiliation(s)
- Dan Zhu
- Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Yamei Zhu
- Deptartment of Infectious Diseases, Wuhua Ward, 920th Hospital of Joint Logistics Support Force of Chinese PLA, Kunming, Yunnan, China
| | - Lin Liu
- Dalian Hunter Information Consulting Co. LTD, Dalian, China
| | - Xiaoxue He
- Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Shizhong Fu
- Deptartment of Infectious Diseases, Wuhua Ward, 920th Hospital of Joint Logistics Support Force of Chinese PLA, Kunming, Yunnan, China
- *Correspondence: Shizhong Fu ;
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Zhou X, Tian C, Cao Y, Zhao M, Wang K. The role of serine metabolism in lung cancer: From oncogenesis to tumor treatment. Front Genet 2023; 13:1084609. [PMID: 36699468 PMCID: PMC9868472 DOI: 10.3389/fgene.2022.1084609] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Accepted: 12/22/2022] [Indexed: 01/11/2023] Open
Abstract
Metabolic reprogramming is an important hallmark of malignant tumors. Serine is a non-essential amino acid involved in cell proliferation. Serine metabolism, especially the de novo serine synthesis pathway, forms a metabolic network with glycolysis, folate cycle, and one-carbon metabolism, which is essential for rapidly proliferating cells. Owing to the rapid development in metabolomics, abnormal serine metabolism may serve as a biomarker for the early diagnosis and pathological typing of tumors. Targeting serine metabolism also plays an essential role in precision and personalized cancer therapy. This article is a systematic review of de novo serine biosynthesis and the link between serine and folate metabolism in tumorigenesis, particularly in lung cancer. In addition, we discuss the potential of serine metabolism to improve tumor treatment.
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Kremer DM, Lyssiotis CA. Targeting allosteric regulation of cancer metabolism. Nat Chem Biol 2022; 18:441-450. [PMID: 35484254 DOI: 10.1038/s41589-022-00997-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 02/14/2022] [Indexed: 12/13/2022]
Abstract
Metabolic reprogramming is observed across all cancer types. Indeed, the success of many classic chemotherapies stems from their targeting of cancer metabolism. Contemporary research in this area has refined our understanding of tumor-specific metabolic mechanisms and has revealed strategies for exploiting these vulnerabilities selectively. Based on this growing understanding, new small-molecule tools and drugs have been developed to study and target tumor metabolism. Here, we highlight allosteric modulation of metabolic enzymes as an attractive mechanism of action for small molecules that target metabolic enzymes. We then discuss the mechanistic insights garnered from their application in cancer studies and highlight the achievements of this approach in targeting cancer metabolism. Finally, we discuss technological advances in drug discovery for allosteric modulators of enzyme activity.
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Affiliation(s)
- Daniel M Kremer
- Department of Molecular & Integrative Physiology, University of Michigan, Ann Arbor, MI, USA.,Graduate Program in Chemical Biology, University of Michigan, Ann Arbor, MI, USA.,Department of Chemistry, the Scripps Research Institute, La Jolla, CA, USA
| | - Costas A Lyssiotis
- Department of Molecular & Integrative Physiology, University of Michigan, Ann Arbor, MI, USA. .,Department of Internal Medicine, Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, MI, USA. .,Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA.
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