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Chen Z, Wang Y, Tang W, Xu S, Yu H, Chen Z. HES6 Mediates Oxidative Phosphorylation Pathway to Promote Immune Infiltration of CD8 + T Cells in Lung Adenocarcinoma. J Immunother 2024; 47:313-322. [PMID: 39005046 DOI: 10.1097/cji.0000000000000535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 04/10/2024] [Indexed: 07/16/2024]
Abstract
Tumor immunotherapy has recently gained popularity as a cancer treatment strategy. The molecular mechanism controlling immune infiltration in lung adenocarcinoma (LUAD) cells, however, is not well characterized. Investigating the immune infiltration modulation mechanism in LUAD is crucial. LUAD patient samples were collected, and HES6 expression and immune infiltration level of CD8 + T cells in patient tissues were analyzed. Bioinformatics was utilized to identify binding relationship between E2F1 and HES6, and enrichment pathway of HES6. The binding of E2F1 to HES6 was verified using dual-luciferase and ChIP experiments. HES6 and E2F1 expression in LUAD cells was detected. LUAD cells were co-cultured with CD8 + T cells, and the CD8 + T cell killing level, IFN-γ secretion, and CD8 + T-cell chemotaxis level were measured. Expression of key genes involved in oxidative phosphorylation was detected, and the oxygen consumption rate of LUAD cells was assessed. A mouse model was constructed to assay Ki67 expression and apoptosis in tumor tissue. High expression of HES6 promoted CD8 + T-cell infiltration and enhanced T-cell killing ability through oxidative phosphorylation. Further bioinformatics analysis, molecular experiments, and cell experiments verified that E2F1 negatively regulated HES6 by oxidative phosphorylation, which suppressed CD8 + T-cell immune infiltration. In addition, in vivo assays illustrated that silencing HES6 repressed tumor cell immune evasion. E2F1 inhibited HES6 transcription, thereby mediating oxidative phosphorylation to suppress immune infiltration of CD8 + T cells in LUAD. The biological functions and signaling pathways of these genes were analyzed, which may help to understand the possible mechanisms regulating immune infiltration in LUAD.
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Affiliation(s)
- Zhoumiao Chen
- Department of Thoracic Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yongliang Wang
- Department of Thoracic Surgery, Xinchang County People's Hospital, Xinchang, China
| | - Weijian Tang
- Department of Thoracic Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Shaohua Xu
- Department of Thoracic Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Hao Yu
- Department of Thoracic Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Zhao Chen
- Department of Thoracic Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China
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Zhang H, Li S, Wang D, Liu S, Xiao T, Gu W, Yang H, Wang H, Yang M, Chen P. Metabolic reprogramming and immune evasion: the interplay in the tumor microenvironment. Biomark Res 2024; 12:96. [PMID: 39227970 PMCID: PMC11373140 DOI: 10.1186/s40364-024-00646-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2024] [Accepted: 08/24/2024] [Indexed: 09/05/2024] Open
Abstract
Tumor cells possess complex immune evasion mechanisms to evade immune system attacks, primarily through metabolic reprogramming, which significantly alters the tumor microenvironment (TME) to modulate immune cell functions. When a tumor is sufficiently immunogenic, it can activate cytotoxic T-cells to target and destroy it. However, tumors adapt by manipulating their metabolic pathways, particularly glucose, amino acid, and lipid metabolism, to create an immunosuppressive TME that promotes immune escape. These metabolic alterations impact the function and differentiation of non-tumor cells within the TME, such as inhibiting effector T-cell activity while expanding regulatory T-cells and myeloid-derived suppressor cells. Additionally, these changes lead to an imbalance in cytokine and chemokine secretion, further enhancing the immunosuppressive landscape. Emerging research is increasingly focusing on the regulatory roles of non-tumor cells within the TME, evaluating how their reprogrammed glucose, amino acid, and lipid metabolism influence their functional changes and ultimately aid in tumor immune evasion. Despite our incomplete understanding of the intricate metabolic interactions between tumor and non-tumor cells, the connection between these elements presents significant challenges for cancer immunotherapy. This review highlights the impact of altered glucose, amino acid, and lipid metabolism in the TME on the metabolism and function of non-tumor cells, providing new insights that could facilitate the development of novel cancer immunotherapies.
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Affiliation(s)
- Haixia Zhang
- The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Hunan Cancer Hospital, Changsha, China
- Department of Pediatrics, Third Xiangya Hospital, Central South University, Changsha, China
| | - Shizhen Li
- The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Hunan Cancer Hospital, Changsha, China
| | - Dan Wang
- Department of Pediatrics, Third Xiangya Hospital, Central South University, Changsha, China
| | - Siyang Liu
- Department of Pediatrics, Third Xiangya Hospital, Central South University, Changsha, China
| | - Tengfei Xiao
- The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Hunan Cancer Hospital, Changsha, China
| | - Wangning Gu
- The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Hunan Cancer Hospital, Changsha, China
| | - Hongmin Yang
- The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Hunan Cancer Hospital, Changsha, China
| | - Hui Wang
- The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Hunan Cancer Hospital, Changsha, China.
| | - Minghua Yang
- Department of Pediatrics, Third Xiangya Hospital, Central South University, Changsha, China.
| | - Pan Chen
- The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Hunan Cancer Hospital, Changsha, China.
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Sun RX, Liu YF, Sun YS, Zhou M, Wang Y, Shi BZ, Jiang H, Li ZH. GPC3-targeted CAR-T cells expressing GLUT1 or AGK exhibit enhanced antitumor activity against hepatocellular carcinoma. Acta Pharmacol Sin 2024; 45:1937-1950. [PMID: 38750075 PMCID: PMC11336244 DOI: 10.1038/s41401-024-01287-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Accepted: 04/08/2024] [Indexed: 08/22/2024] Open
Abstract
Chimeric antigen receptor-expressing T (CAR-T) cells induce robust antitumor responses in patients with hematologic malignancies. However, CAR-T cells exhibit only limited efficacy against solid tumors such as hepatocellular carcinoma (HCC), partially due to their limited expansion and persistence. CD8+ T cells, as key components of the adaptive immune response, play a central role in antitumor immunity. Aerobic glycolysis is the main metabolic feature of activated CD8+ T cells. In the tumor microenvironment, however, the uptake of large amounts of glucose by tumor cells and other immunosuppressive cells can impair the activation of T cells. Only when tumor-infiltrating lymphocytes (TILs) in the tumor microenvironment have a glycolytic advantage might the effector function of T cells be activated. Glucose transporter type 1 (GLUT1) and acylglycerol kinase (AGK) can boost glycolytic metabolism and activate the effector function of CD8+ T cells, respectively. In this study, we generated GPC3-targeted CAR-T cells overexpressing GLUT1 or AGK for the treatment of HCC. GPC3-targeted CAR-T cells overexpressing GLUT1 or AGK specifically and effectively lysed GPC3-positive tumor cells in vitro in an antigen-dependent manner. Furthermore, GLUT1 or AGK overexpression protected CAR-T cells from apoptosis during repeated exposures to tumor cells. Compared with second-generation CAR-T cells, GPC3-targeted CAR-T cells overexpressing GLUT1 or AGK exhibited greater CD8+ T-cell persistence in vivo and better antitumor effects in HCC allograft mouse models. Finally, we revealed that GLUT1 or AGK maintained anti-apoptosis ability in CD8+ T cells via activation of the PI3K/Akt pathway. This finding might identify a therapeutic strategy for advanced HCC.
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Affiliation(s)
- Rui-Xin Sun
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200032, China
- Department of Laboratory Medicine, Shanghai Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China
| | - Yi-Fan Liu
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200032, China
| | - Yan-Sha Sun
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200032, China
| | - Min Zhou
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200032, China
| | - Yi Wang
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200032, China
- CARsgen Therapeutics, Shanghai, 200032, China
| | - Bi-Zhi Shi
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200032, China
- CARsgen Therapeutics, Shanghai, 200032, China
| | - Hua Jiang
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200032, China.
- CARsgen Therapeutics, Shanghai, 200032, China.
| | - Zong-Hai Li
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200032, China.
- CARsgen Therapeutics, Shanghai, 200032, China.
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Zhang Z, Yang Y, Chen Y, Su J, Du W. Malic enzyme 2 maintains metabolic state and anti-tumor immunity of CD8 + T cells. Mol Cell 2024:S1097-2765(24)00619-1. [PMID: 39151423 DOI: 10.1016/j.molcel.2024.07.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 04/19/2024] [Accepted: 07/23/2024] [Indexed: 08/19/2024]
Abstract
The functional integrity of CD8+ T cells is closely linked to metabolic reprogramming; therefore, understanding the metabolic basis of CD8+ T cell activation and antitumor immunity could provide insights into tumor immunotherapy. Here, we report that ME2 is critical for mouse CD8+ T cell activation and immune response against malignancy. ME2 deficiency suppresses CD8+ T cell activation and anti-tumor immune response in vitro and in vivo. Mechanistically, ME2 depletion blocks the TCA cycle flux, leading to the accumulation of fumarate. Fumarate directly binds to DAPK1 and inhibits its activity by competing with ATP for binding. Notably, pharmacological inhibition of DAPK1 abolishes the anti-tumor function conferred by ME2 to CD8+ T cells. Collectively, these findings demonstrate a role for ME2 in the regulation of CD8+ T cell metabolism and effector functions as well as an unexpected function for fumarate as a metabolic signal in the inhibition of DAPK1.
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Affiliation(s)
- Zhenxi Zhang
- State Key Laboratory of Common Mechanism Research for Major Diseases, Haihe Laboratory of Cell Ecosystem, Department of Cell Biology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China
| | - Yanting Yang
- State Key Laboratory of Common Mechanism Research for Major Diseases, Haihe Laboratory of Cell Ecosystem, Department of Cell Biology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China
| | - Yang Chen
- State Key Laboratory of Common Mechanism Research for Major Diseases, Haihe Laboratory of Cell Ecosystem, Department of Cell Biology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China
| | - Jingyu Su
- State Key Laboratory of Common Mechanism Research for Major Diseases, Haihe Laboratory of Cell Ecosystem, Department of Cell Biology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China
| | - Wenjing Du
- State Key Laboratory of Common Mechanism Research for Major Diseases, Haihe Laboratory of Cell Ecosystem, Department of Cell Biology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China.
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5
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Briand-Mésange F, Gennero I, Salles J, Trudel S, Dahan L, Ausseil J, Payrastre B, Salles JP, Chap H. From Classical to Alternative Pathways of 2-Arachidonoylglycerol Synthesis: AlterAGs at the Crossroad of Endocannabinoid and Lysophospholipid Signaling. Molecules 2024; 29:3694. [PMID: 39125098 PMCID: PMC11314389 DOI: 10.3390/molecules29153694] [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: 06/21/2024] [Revised: 07/27/2024] [Accepted: 08/02/2024] [Indexed: 08/12/2024] Open
Abstract
2-arachidonoylglycerol (2-AG) is the most abundant endocannabinoid (EC), acting as a full agonist at both CB1 and CB2 cannabinoid receptors. It is synthesized on demand in postsynaptic membranes through the sequential action of phosphoinositide-specific phospholipase Cβ1 (PLCβ1) and diacylglycerol lipase α (DAGLα), contributing to retrograde signaling upon interaction with presynaptic CB1. However, 2-AG production might also involve various combinations of PLC and DAGL isoforms, as well as additional intracellular pathways implying other enzymes and substrates. Three other alternative pathways of 2-AG synthesis rest on the extracellular cleavage of 2-arachidonoyl-lysophospholipids by three different hydrolases: glycerophosphodiesterase 3 (GDE3), lipid phosphate phosphatases (LPPs), and two members of ecto-nucleotide pyrophosphatase/phosphodiesterases (ENPP6-7). We propose the names of AlterAG-1, -2, and -3 for three pathways sharing an ectocellular localization, allowing them to convert extracellular lysophospholipid mediators into 2-AG, thus inducing typical signaling switches between various G-protein-coupled receptors (GPCRs). This implies the critical importance of the regioisomerism of both lysophospholipid (LPLs) and 2-AG, which is the object of deep analysis within this review. The precise functional roles of AlterAGs are still poorly understood and will require gene invalidation approaches, knowing that both 2-AG and its related lysophospholipids are involved in numerous aspects of physiology and pathology, including cancer, inflammation, immune defenses, obesity, bone development, neurodegeneration, or psychiatric disorders.
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Affiliation(s)
- Fabienne Briand-Mésange
- Infinity-Toulouse Institute for Infectious and Inflammatory Diseases, University of Toulouse, INSERM, CNRS, Paul Sabatier University, 31059 Toulouse, France; (F.B.-M.); (I.G.); (J.S.); (S.T.); (J.A.); (J.-P.S.)
| | - Isabelle Gennero
- Infinity-Toulouse Institute for Infectious and Inflammatory Diseases, University of Toulouse, INSERM, CNRS, Paul Sabatier University, 31059 Toulouse, France; (F.B.-M.); (I.G.); (J.S.); (S.T.); (J.A.); (J.-P.S.)
- Centre Hospitalier Universitaire de Toulouse, Service de Biochimie, Institut Fédératif de Biologie, 31059 Toulouse, France
| | - Juliette Salles
- Infinity-Toulouse Institute for Infectious and Inflammatory Diseases, University of Toulouse, INSERM, CNRS, Paul Sabatier University, 31059 Toulouse, France; (F.B.-M.); (I.G.); (J.S.); (S.T.); (J.A.); (J.-P.S.)
- Centre Hospitalier Universitaire de Toulouse, Service de Psychiatrie D’urgences, de Crise et de Liaison, Institut des Handicaps Neurologiques, Psychiatriques et Sensoriels, 31059 Toulouse, France
| | - Stéphanie Trudel
- Infinity-Toulouse Institute for Infectious and Inflammatory Diseases, University of Toulouse, INSERM, CNRS, Paul Sabatier University, 31059 Toulouse, France; (F.B.-M.); (I.G.); (J.S.); (S.T.); (J.A.); (J.-P.S.)
- Centre Hospitalier Universitaire de Toulouse, Service de Biochimie, Institut Fédératif de Biologie, 31059 Toulouse, France
| | - Lionel Dahan
- Centre de Recherches sur la Cognition Animale (CRCA), Centre de Biologie Intégrative (CBI), Université de Toulouse, CNRS, UPS, 31062 Toulouse, France;
| | - Jérôme Ausseil
- Infinity-Toulouse Institute for Infectious and Inflammatory Diseases, University of Toulouse, INSERM, CNRS, Paul Sabatier University, 31059 Toulouse, France; (F.B.-M.); (I.G.); (J.S.); (S.T.); (J.A.); (J.-P.S.)
- Centre Hospitalier Universitaire de Toulouse, Service de Biochimie, Institut Fédératif de Biologie, 31059 Toulouse, France
| | - Bernard Payrastre
- I2MC-Institute of Metabolic and Cardiovascular Diseases, INSERM UMR1297 and University of Toulouse III, 31400 Toulouse, France;
- Centre Hospitalier Universitaire de Toulouse, Laboratoire d’Hématologie, 31400 Toulouse, France
| | - Jean-Pierre Salles
- Infinity-Toulouse Institute for Infectious and Inflammatory Diseases, University of Toulouse, INSERM, CNRS, Paul Sabatier University, 31059 Toulouse, France; (F.B.-M.); (I.G.); (J.S.); (S.T.); (J.A.); (J.-P.S.)
- Centre Hospitalier Universitaire de Toulouse, Unité d’Endocrinologie et Maladies Osseuses, Hôpital des Enfants, 31059 Toulouse, France
| | - Hugues Chap
- Infinity-Toulouse Institute for Infectious and Inflammatory Diseases, University of Toulouse, INSERM, CNRS, Paul Sabatier University, 31059 Toulouse, France; (F.B.-M.); (I.G.); (J.S.); (S.T.); (J.A.); (J.-P.S.)
- Académie des Sciences, Inscriptions et Belles Lettres de Toulouse, Hôtel d’Assézat, 31000 Toulouse, France
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Zhou P, Liu W, Ma J. Roles of Menin in T cell differentiation and function: Current knowledge and perspectives. Immunology 2024. [PMID: 39011567 DOI: 10.1111/imm.13837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Accepted: 06/28/2024] [Indexed: 07/17/2024] Open
Abstract
The commitment to specific T lymphocytes (T cell) lineages is governed by distinct transcription factors, whose expression is modulated through epigenetic mechanisms. Unravelling these epigenetic mechanisms that regulate T cell differentiation and function holds significant importance for understanding T cells. Menin, a multifunctional scaffolding protein, is implicated in various cellular processes, such as cell proliferation, cell cycle control, DNA repair and transcriptional regulation, primarily through epigenetic mechanisms. Existing research indicates Menin's impact on T cell differentiation and function, while a comprehensive and systematic review is currently lacking to consolidate these findings. In the current review, we have highlighted recent studies on the role of Menin in T cell differentiation and function, focusing mainly on its impact on the memory Th2 maintenance, Th17 differentiation and maintenance, CD4+ T cell senescence, and effector CD8+ T cell survival. Considering Menin's crucial function in maintaining effector T cell function, the potential of inhibiting Menin activity in mitigating inflammatory diseases associated with excessive T cell activation has also been emphasised.
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Affiliation(s)
- Pingping Zhou
- Department of Immunology, Eye Hospital, The First Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, Heilongjiang, China
| | - Weiru Liu
- Department of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jian Ma
- Department of Immunology, Eye Hospital, The First Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, Heilongjiang, China
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Zhang X, Wang J, Tang K, Yang Y, Liu X, Yuan S, Guo F, Zhang L, Ma K. The cell cycle regulator p16 promotes tumor infiltrated CD8 + T cell exhaustion and apoptosis. Cell Death Dis 2024; 15:339. [PMID: 38750022 PMCID: PMC11096187 DOI: 10.1038/s41419-024-06721-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 05/02/2024] [Accepted: 05/03/2024] [Indexed: 05/18/2024]
Abstract
The therapeutic efficacy of adoptive T cell therapy is largely restricted by reduced viability and dysfunction of CD8+ T cells. Continuous antigen stimulation disrupts the expansion, effector function, and metabolic fitness of CD8+ T cells, leading to their differentiation into an exhausted state within the tumor microenvironment (TME). While the function of the cell cycle negative regulator p16 in senescent cells is well understood, its role in T cell exhaustion remains unclear. In this study, we demonstrated that TCR stimulation of CD8+ T cells rapidly upregulates p16 expression, with its levels positively correlating with TCR affinity. Chronic TCR stimulation further increased p16 expression, leading to CD8+ T cell apoptosis and exhaustion differentiation, without inducing DNA damage or cell senescence. Mechanistic investigations revealed that p16 downregulates mTOR, glycolysis, and oxidative phosphorylation (OXPHOS) associated gene expression, resulting in impaired mitochondrial fitness, reduced T cell viability, and diminished effector function. Furthermore, the deletion of p16 significantly enhances the persistence of CD8+ T cells within tumors and suppresses the terminal exhaustion of tumor-infiltrating T cells. Overall, our findings elucidate how increased p16 expression reshapes T cell intracellular metabolism, drives T cell apoptosis and exhaustion differentiation, and ultimately impairs T cell anti-tumor function.
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Affiliation(s)
- Xin Zhang
- National Key Laboratory of Immunity and Inflammation, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou, Jiangsu, China
- Key Laboratory of Synthetic Biology Regulatory Element, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Suzhou, China
- Institute of Pharmaceutical Sciences, China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Jiajia Wang
- National Key Laboratory of Immunity and Inflammation, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou, Jiangsu, China
- Key Laboratory of Synthetic Biology Regulatory Element, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Suzhou, China
| | - Kun Tang
- National Key Laboratory of Immunity and Inflammation, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou, Jiangsu, China
- Key Laboratory of Synthetic Biology Regulatory Element, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Suzhou, China
- Institutes of Biology and Medical Sciences (IBMS), Soochow University, Suzhou, Jiangsu, China
| | - Yu Yang
- National Key Laboratory of Immunity and Inflammation, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou, Jiangsu, China
- Key Laboratory of Synthetic Biology Regulatory Element, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Suzhou, China
- Department of Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China
| | - Xiaowei Liu
- National Key Laboratory of Immunity and Inflammation, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou, Jiangsu, China
- Key Laboratory of Synthetic Biology Regulatory Element, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Suzhou, China
| | - Shengtao Yuan
- Institute of Pharmaceutical Sciences, China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Feng Guo
- Department of Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China.
| | - Lianjun Zhang
- National Key Laboratory of Immunity and Inflammation, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou, Jiangsu, China.
- Key Laboratory of Synthetic Biology Regulatory Element, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Suzhou, China.
| | - Kaili Ma
- National Key Laboratory of Immunity and Inflammation, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou, Jiangsu, China.
- Key Laboratory of Synthetic Biology Regulatory Element, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Suzhou, China.
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Ma S, Ming Y, Wu J, Cui G. Cellular metabolism regulates the differentiation and function of T-cell subsets. Cell Mol Immunol 2024; 21:419-435. [PMID: 38565887 PMCID: PMC11061161 DOI: 10.1038/s41423-024-01148-8] [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: 12/28/2023] [Accepted: 02/23/2024] [Indexed: 04/04/2024] Open
Abstract
T cells are an important component of adaptive immunity and protect the host from infectious diseases and cancers. However, uncontrolled T cell immunity may cause autoimmune disorders. In both situations, antigen-specific T cells undergo clonal expansion upon the engagement and activation of antigens. Cellular metabolism is reprogrammed to meet the increase in bioenergetic and biosynthetic demands associated with effector T cell expansion. Metabolites not only serve as building blocks or energy sources to fuel cell growth and expansion but also regulate a broad spectrum of cellular signals that instruct the differentiation of multiple T cell subsets. The realm of immunometabolism research is undergoing swift advancements. Encapsulating all the recent progress within this concise review in not possible. Instead, our objective is to provide a succinct introduction to this swiftly progressing research, concentrating on the metabolic intricacies of three pivotal nutrient classes-lipids, glucose, and amino acids-in T cells. We shed light on recent investigations elucidating the roles of these three groups of metabolites in mediating the metabolic and immune functions of T cells. Moreover, we delve into the prospect of "editing" metabolic pathways within T cells using pharmacological or genetic approaches, with the aim of synergizing this approach with existing immunotherapies and enhancing the efficacy of antitumor and antiinfection immune responses.
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Affiliation(s)
- Sicong Ma
- Key Laboratory of Immune Response and Immunotherapy, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230601, China
| | - Yanan Ming
- Key Laboratory of Immune Response and Immunotherapy, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230601, China
| | - Jingxia Wu
- Key Laboratory of Immune Response and Immunotherapy, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230601, China.
| | - Guoliang Cui
- Key Laboratory of Immune Response and Immunotherapy, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230601, China.
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Hu JL, Huang MJ, Halina H, Qiao K, Wang ZY, Lu JJ, Yin CL, Gao F. Identification of a novel inflammatory-related gene signature to evaluate the prognosis of gastric cancer patients. World J Gastrointest Oncol 2024; 16:945-967. [PMID: 38577477 PMCID: PMC10989359 DOI: 10.4251/wjgo.v16.i3.945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Revised: 12/25/2023] [Accepted: 01/30/2024] [Indexed: 03/12/2024] Open
Abstract
BACKGROUND Gastric cancer (GC) is a highly aggressive malignancy with a heterogeneous nature, which makes prognosis prediction and treatment determination difficult. Inflammation is now recognized as one of the hallmarks of cancer and plays an important role in the aetiology and continued growth of tumours. Inflammation also affects the prognosis of GC patients. Recent reports suggest that a number of inflammatory-related biomarkers are useful for predicting tumour prognosis. However, the importance of inflammatory-related biomarkers in predicting the prognosis of GC patients is still unclear. AIM To investigate inflammatory-related biomarkers in predicting the prognosis of GC patients. METHODS In this study, the mRNA expression profiles and corresponding clinical information of GC patients were obtained from the Gene Expression Omnibus (GEO) database (GSE66229). An inflammatory-related gene prognostic signature model was constructed using the least absolute shrinkage and selection operator Cox regression model based on the GEO database. GC patients from the GSE26253 cohort were used for validation. Univariate and multivariate Cox analyses were used to determine the independent prognostic factors, and a prognostic nomogram was established. The calibration curve and the area under the curve based on receiver operating characteristic analysis were utilized to evaluate the predictive value of the nomogram. The decision curve analysis results were plotted to quantify and assess the clinical value of the nomogram. Gene set enrichment analysis was performed to explore the potential regulatory pathways involved. The relationship between tumour immune infiltration status and risk score was analysed via Tumour Immune Estimation Resource and CIBERSORT. Finally, we analysed the association between risk score and patient sensitivity to commonly used chemotherapy and targeted therapy agents. RESULTS A prognostic model consisting of three inflammatory-related genes (MRPS17, GUF1, and PDK4) was constructed. Independent prognostic analysis revealed that the risk score was a separate prognostic factor in GC patients. According to the risk score, GC patients were stratified into high- and low-risk groups, and patients in the high-risk group had significantly worse prognoses according to age, sex, TNM stage and Lauren type. Consensus clustering identified three subtypes of inflammation that could predict GC prognosis more accurately than traditional grading and staging. Finally, the study revealed that patients in the low-risk group were more sensitive to certain drugs than were those in the high-risk group, indicating a link between inflammation-related genes and drug sensitivity. CONCLUSION In conclusion, we established a novel three-gene prognostic signature that may be useful for predicting the prognosis and personalizing treatment decisions of GC patients.
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Affiliation(s)
- Jia-Li Hu
- Department of Gastroenterology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi 830001, Xinjiang Uygur Autonomous Region, China
- Xinjiang Clinical Research Center for Digestive Disease, Urumqi 830001, Xinjiang Uygur Autonomous Region, China
| | - Mei-Jin Huang
- Department of Oncology, 920th Hospital of PLA Joint Logistics Support Force, Kunming 650032, Yunnan Province, China
| | - Halike Halina
- Department of Gastroenterology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi 830001, Xinjiang Uygur Autonomous Region, China
- Xinjiang Clinical Research Center for Digestive Disease, Urumqi 830001, Xinjiang Uygur Autonomous Region, China
| | - Kun Qiao
- Department of Gastroenterology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi 830001, Xinjiang Uygur Autonomous Region, China
- Xinjiang Clinical Research Center for Digestive Disease, Urumqi 830001, Xinjiang Uygur Autonomous Region, China
| | - Zhi-Yuan Wang
- Department of Gastroenterology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi 830001, Xinjiang Uygur Autonomous Region, China
- Xinjiang Clinical Research Center for Digestive Disease, Urumqi 830001, Xinjiang Uygur Autonomous Region, China
| | - Jia-Jie Lu
- Department of Gastroenterology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi 830001, Xinjiang Uygur Autonomous Region, China
- Xinjiang Clinical Research Center for Digestive Disease, Urumqi 830001, Xinjiang Uygur Autonomous Region, China
| | - Cheng-Liang Yin
- Faculty of Medicine, Macau University of Science and Technology, Macau 999078, China
| | - Feng Gao
- Department of Gastroenterology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi 830001, Xinjiang Uygur Autonomous Region, China
- Xinjiang Clinical Research Center for Digestive Disease, Urumqi 830001, Xinjiang Uygur Autonomous Region, China
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10
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Katopodi T, Petanidis S, Anestakis D, Charalampidis C, Chatziprodromidou I, Floros G, Eskitzis P, Zarogoulidis P, Koulouris C, Sevva C, Papadopoulos K, Dagher M, Karakousis VA, Varsamis N, Theodorou V, Mystakidou CM, Vlassopoulos K, Kosmidis S, Katsios NI, Farmakis K, Kosmidis C. Tumor cell metabolic reprogramming and hypoxic immunosuppression: driving carcinogenesis to metastatic colonization. Front Immunol 2024; 14:1325360. [PMID: 38292487 PMCID: PMC10824957 DOI: 10.3389/fimmu.2023.1325360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Accepted: 12/27/2023] [Indexed: 02/01/2024] Open
Abstract
A significant factor in the antitumor immune response is the increased metabolic reprogramming of immunological and malignant cells. Increasing data points to the fact that cancer metabolism affects not just cancer signaling, which is essential for maintaining carcinogenesis and survival, but also the expression of immune cells and immune-related factors such as lactate, PGE2, arginine, IDO, which regulate the antitumor immune signaling mechanism. In reality, this energetic interaction between the immune system and the tumor results in metabolic competition in the tumor ecosystem, limiting the amount of nutrients available and causing microenvironmental acidosis, which impairs the ability of immune cells to operate. More intriguingly, different types of immune cells use metabolic reprogramming to keep the body and self in a state of homeostasis. The process of immune cell proliferation, differentiation, and performance of effector functions, which is crucial to the immune response, are currently being linked to metabolic reprogramming. Here, we cover the regulation of the antitumor immune response by metabolic reprogramming in cancer cells and immune cells as well as potential strategies for metabolic pathway targeting in the context of anticancer immunotherapy. We also discuss prospective immunotherapy-metabolic intervention combinations that might be utilized to maximize the effectiveness of current immunotherapy regimes.
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Affiliation(s)
- Theodora Katopodi
- Department of Medicine, Laboratory of Medical Biology and Genetics, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Savvas Petanidis
- Department of Medicine, Laboratory of Medical Biology and Genetics, Aristotle University of Thessaloniki, Thessaloniki, Greece
- Department of Pulmonology, I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Doxakis Anestakis
- Department of Anatomy, Medical School, University of Cyprus, Nicosia, Cyprus
| | | | | | - George Floros
- Department of Electrical and Computer Engineering, University of Thessaly, Volos, Greece
| | | | - Paul Zarogoulidis
- Third Department of Surgery, “AHEPA” University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Charilaos Koulouris
- Third Department of Surgery, “AHEPA” University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Christina Sevva
- Third Department of Surgery, “AHEPA” University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Konstantinos Papadopoulos
- Third Department of Surgery, “AHEPA” University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Marios Dagher
- Third Department of Surgery, “AHEPA” University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | - Nikolaos Varsamis
- Department of Surgery, Interbalkan Medical Center, Thessaloniki, Greece
| | - Vasiliki Theodorou
- Department of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Chrysi Maria Mystakidou
- Department of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Konstantinos Vlassopoulos
- Department of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Stylianos Kosmidis
- Department of Medicine, Medical University of Plovdiv, Plovdiv, Bulgaria
| | | | - Konstantinos Farmakis
- Pediatric Surgery Clinic, General Hospital of Thessaloniki “G. Gennimatas”, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Christoforos Kosmidis
- Third Department of Surgery, “AHEPA” University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
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11
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Strillacci MG, Punturiero C, Milanesi R, Bernini F, Mason T, Bagnato A. Antibiotic treatments and somatic cell count as phenotype to map QTL for mastitis susceptibility in Holstein cattle breed. ITALIAN JOURNAL OF ANIMAL SCIENCE 2023. [DOI: 10.1080/1828051x.2023.2175498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Affiliation(s)
| | - Chiara Punturiero
- Department of Veterinary Medicine and Animal Science, Università degli Studi di Milano, Lodi, Italy
| | - Raffaella Milanesi
- Department of Veterinary Medicine and Animal Science, Università degli Studi di Milano, Lodi, Italy
| | - Francesca Bernini
- Department of Veterinary Medicine and Animal Science, Università degli Studi di Milano, Lodi, Italy
| | - Tiziano Mason
- Department of Veterinary Medicine and Animal Science, Università degli Studi di Milano, Lodi, Italy
| | - Alessandro Bagnato
- Department of Veterinary Medicine and Animal Science, Università degli Studi di Milano, Lodi, Italy
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12
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Wan J, Cheng C, Hu J, Huang H, Han Q, Jie Z, Zou Q, Shi JH, Yu X. De novo NAD + synthesis contributes to CD8 + T cell metabolic fitness and antitumor function. Cell Rep 2023; 42:113518. [PMID: 38041812 DOI: 10.1016/j.celrep.2023.113518] [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: 08/15/2023] [Revised: 09/30/2023] [Accepted: 11/15/2023] [Indexed: 12/04/2023] Open
Abstract
The dysfunction and clonal constriction of tumor-infiltrating CD8+ T cells are accompanied by alterations in cellular metabolism; however, how the cell-intrinsic metabolic pathway specifies intratumoral CD8+ T cell features remains elusive. Here, we show that cell-autonomous generation of nicotinamide adenine dinucleotide (NAD+) via the kynurenine pathway (KP) contributes to the maintenance of intratumoral CD8+ T cell metabolic and functional fitness. De novo NAD+ synthesis is involved in CD8+ T cell metabolism and antitumor function. KP-derived NAD+ promotes PTEN deacetylation, thereby facilitating PTEN degradation and preventing PTEN-dependent metabolic defects. Importantly, impaired cell-autonomous NAD+ synthesis limits CD8+ T cell responses in human colorectal cancer samples. Our results reveal that KP-derived NAD+ regulates the CD8+ T cell metabolic and functional state by restricting PTEN activity and suggest that modulation of de novo NAD+ synthesis could restore CD8+ T cell metabolic fitness and antitumor function.
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Affiliation(s)
- Jie Wan
- Central Laboratory, Hebei Collaborative Innovation Center of Tumor Microecological Metabolism Regulation, Affiliated Hospital of Hebei University, Baoding 071000, Hebei Province, China; Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, 280 South Chongqing Road, Shanghai 200025, China
| | - Cheng Cheng
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring Western Road, Fengtai District, Beijing, China
| | - Jiajia Hu
- Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Haiyan Huang
- Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Qiaoqiao Han
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, 280 South Chongqing Road, Shanghai 200025, China
| | - Zuliang Jie
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, China
| | - Qiang Zou
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, 280 South Chongqing Road, Shanghai 200025, China.
| | - Jian-Hong Shi
- Central Laboratory, Hebei Collaborative Innovation Center of Tumor Microecological Metabolism Regulation, Affiliated Hospital of Hebei University, Baoding 071000, Hebei Province, China.
| | - Xiaoyan Yu
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, 280 South Chongqing Road, Shanghai 200025, China.
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13
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Zhang Y, Yu X, Bao R, Huang H, Gu C, Lv Q, Han Q, Du X, Zhao XY, Ye Y, Zhao R, Sun J, Zou Q. Dietary fructose-mediated adipocyte metabolism drives antitumor CD8 + T cell responses. Cell Metab 2023; 35:2107-2118.e6. [PMID: 37863051 DOI: 10.1016/j.cmet.2023.09.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 04/14/2023] [Accepted: 09/25/2023] [Indexed: 10/22/2023]
Abstract
Fructose consumption is associated with tumor growth and metastasis in mice, yet its impact on antitumor immune responses remains unclear. Here, we show that dietary fructose modulates adipocyte metabolism to enhance antitumor CD8+ T cell immune responses and control tumor growth. Transcriptional profiling of tumor-infiltrating CD8+ T cells reveals that dietary fructose mediates attenuated transition of CD8+ T cells to terminal exhaustion, leading to a superior antitumor efficacy. High-fructose feeding initiates adipocyte-derived leptin production in an mTORC1-dependent manner, thereby triggering leptin-boosted antitumor CD8+ T cell responses. Importantly, high plasma leptin levels are correlated with elevated plasma fructose concentrations and improved antitumor CD8+ T cell responses in patients with lung cancer. Our study characterizes a critical role for dietary fructose in shaping adipocyte metabolism to prime antitumor CD8+ T cell responses and highlights that the fructose-leptin axis may be harnessed for cancer immunotherapy.
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Affiliation(s)
- Yuerong Zhang
- Shanghai Chest Hospital & Shanghai Institute of Immunology, State Key Laboratory of Systems Medicine for Cancer, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Xiaoyan Yu
- Shanghai Chest Hospital & Shanghai Institute of Immunology, State Key Laboratory of Systems Medicine for Cancer, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Rujuan Bao
- Shanghai Chest Hospital & Shanghai Institute of Immunology, State Key Laboratory of Systems Medicine for Cancer, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Haiyan Huang
- Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Chuanjia Gu
- Department of Respiratory Endoscopy, Department of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Qianming Lv
- Shanghai Chest Hospital & Shanghai Institute of Immunology, State Key Laboratory of Systems Medicine for Cancer, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Qiaoqiao Han
- Shanghai Chest Hospital & Shanghai Institute of Immunology, State Key Laboratory of Systems Medicine for Cancer, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Xian Du
- Shanghai Chest Hospital & Shanghai Institute of Immunology, State Key Laboratory of Systems Medicine for Cancer, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Xu-Yun Zhao
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Key Laboratory of Cell Differentiation and Apoptosis of the Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Youqiong Ye
- Shanghai Chest Hospital & Shanghai Institute of Immunology, State Key Laboratory of Systems Medicine for Cancer, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China.
| | - Ren Zhao
- Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
| | - Jiayuan Sun
- Department of Respiratory Endoscopy, Department of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China.
| | - Qiang Zou
- Shanghai Chest Hospital & Shanghai Institute of Immunology, State Key Laboratory of Systems Medicine for Cancer, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China.
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14
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Xiao C, Xiong W, Xu Y, Zou J, Zeng Y, Liu J, Peng Y, Hu C, Wu F. Immunometabolism: a new dimension in immunotherapy resistance. Front Med 2023; 17:585-616. [PMID: 37725232 DOI: 10.1007/s11684-023-1012-z] [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: 12/26/2022] [Accepted: 05/19/2023] [Indexed: 09/21/2023]
Abstract
Immune checkpoint inhibitors (ICIs) have demonstrated unparalleled clinical responses and revolutionized the paradigm of tumor treatment, while substantial patients remain unresponsive or develop resistance to ICIs as a single agent, which is traceable to cellular metabolic dysfunction. Although dysregulated metabolism has long been adjudged as a hallmark of tumor, it is now increasingly accepted that metabolic reprogramming is not exclusive to tumor cells but is also characteristic of immunocytes. Correspondingly, people used to pay more attention to the effect of tumor cell metabolism on immunocytes, but in practice immunocytes interact intimately with their own metabolic function in a way that has never been realized before during their activation and differentiation, which opens up a whole new frontier called immunometabolism. The metabolic intervention for tumor-infiltrating immunocytes could offer fresh opportunities to break the resistance and ameliorate existing ICI immunotherapy, whose crux might be to ascertain synergistic combinations of metabolic intervention with ICIs to reap synergic benefits and facilitate an adjusted anti-tumor immune response. Herein, we elaborate potential mechanisms underlying immunotherapy resistance from a novel dimension of metabolic reprogramming in diverse tumor-infiltrating immunocytes, and related metabolic intervention in the hope of offering a reference for targeting metabolic vulnerabilities to circumvent immunotherapeutic resistance.
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Affiliation(s)
- Chaoyue Xiao
- Department of Oncology, The Second Xiangya Hospital, Central South University, Changsha, 410011, China
| | - Wei Xiong
- NHC Key Laboratory of Carcinogenesis and Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, 410078, China
| | - Yiting Xu
- Xiangya School of Medicine, Central South University, Changsha, 410013, China
| | - Ji'an Zou
- Xiangya School of Medicine, Central South University, Changsha, 410013, China
| | - Yue Zeng
- Department of Oncology, The Second Xiangya Hospital, Central South University, Changsha, 410011, China
| | - Junqi Liu
- Department of Oncology, The Second Xiangya Hospital, Central South University, Changsha, 410011, China
| | - Yurong Peng
- Department of Oncology, The Second Xiangya Hospital, Central South University, Changsha, 410011, China
| | - Chunhong Hu
- Department of Oncology, The Second Xiangya Hospital, Central South University, Changsha, 410011, China
- Hunan Cancer Mega-Data Intelligent Application and Engineering Research Centre, Changsha, 410011, China
| | - Fang Wu
- Department of Oncology, The Second Xiangya Hospital, Central South University, Changsha, 410011, China.
- Hunan Cancer Mega-Data Intelligent Application and Engineering Research Centre, Changsha, 410011, China.
- Hunan Key Laboratory of Early Diagnosis and Precision Therapy in Lung Cancer, The Second Xiangya Hospital, Central South University, Changsha, 410011, China.
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Central South University, Changsha, 410011, China.
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15
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Cao J, Liao S, Zeng F, Liao Q, Luo G, Zhou Y. Effects of altered glycolysis levels on CD8 + T cell activation and function. Cell Death Dis 2023; 14:407. [PMID: 37422501 PMCID: PMC10329707 DOI: 10.1038/s41419-023-05937-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 06/10/2023] [Accepted: 06/30/2023] [Indexed: 07/10/2023]
Abstract
CD8+ T cells are an important component of the body's adaptive immune response. During viral or intracellular bacterial infections, CD8+ T cells are rapidly activated and differentiated to exert their immune function by producing cytokines. Alterations in the glycolysis of CD8+ T cells have an important effect on their activation and function, while glycolysis is important for CD8+ T cell functional failure and recovery. This paper summarizes the importance of CD8+ T cell glycolysis in the immune system. We discuss the link between glycolysis and CD8+ T cell activation, differentiation, and proliferation, and the effect of altered glycolysis on CD8+ T cell function. In addition, potential molecular targets to enhance and restore the immune function of CD8+ T cells by affecting glycolysis and the link between glycolysis and CD8+ T cell senescence are summarized. This review provides new insights into the relationship between glycolysis and CD8+ T cell function, and proposes novel strategies for immunotherapy by targeting glycolysis.
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Affiliation(s)
- Jiaying Cao
- NHC Key Laboratory of Carcinogenesis, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, 410013, China
- Cancer Research Institute, Basic School of Medicine, Central South University, Changsha, Hunan, 410078, China
- Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, 410013, China
| | - Shan Liao
- Department of Pathology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, 410013, China
| | - Feng Zeng
- NHC Key Laboratory of Carcinogenesis, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, 410013, China
- Cancer Research Institute, Basic School of Medicine, Central South University, Changsha, Hunan, 410078, China
- Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, 410013, China
| | - Qianjin Liao
- Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, 410013, China
| | - Gengqiu Luo
- Department of Pathology, Xiangya Hospital, Basic School of Medicine, Central South University, Changsha, Hunan, 410008, China.
| | - Yanhong Zhou
- NHC Key Laboratory of Carcinogenesis, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, 410013, China.
- Cancer Research Institute, Basic School of Medicine, Central South University, Changsha, Hunan, 410078, China.
- Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, 410013, China.
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16
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Meng K, Lu S, Li Y, Hu L, Zhang J, Cao Y, Wang Y, Zhang CZ, He Q. LINC00493-encoded microprotein SMIM26 exerts anti-metastatic activity in renal cell carcinoma. EMBO Rep 2023; 24:e56282. [PMID: 37009826 PMCID: PMC10240204 DOI: 10.15252/embr.202256282] [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: 10/12/2022] [Revised: 03/08/2023] [Accepted: 03/17/2023] [Indexed: 04/04/2023] Open
Abstract
Human microproteins encoded by long non-coding RNAs (lncRNA) have been increasingly discovered, however, complete functional characterization of these emerging proteins is scattered. Here, we show that LINC00493-encoded SMIM26, an understudied microprotein localized in mitochondria, is tendentiously downregulated in clear cell renal cell carcinoma (ccRCC) and correlated with poor overall survival. LINC00493 is recognized by RNA-binding protein PABPC4 and transferred to ribosomes for translation of a 95-amino-acid protein SMIM26. SMIM26, but not LINC00493, suppresses ccRCC growth and metastatic lung colonization by interacting with acylglycerol kinase (AGK) and glutathione transport regulator SLC25A11 via its N-terminus. This interaction increases the mitochondrial localization of AGK and subsequently inhibits AGK-mediated AKT phosphorylation. Moreover, the formation of the SMIM26-AGK-SCL25A11 complex maintains mitochondrial glutathione import and respiratory efficiency, which is abrogated by AGK overexpression or SLC25A11 knockdown. This study functionally characterizes the LINC00493-encoded microprotein SMIM26 and establishes its anti-metastatic role in ccRCC, and therefore illuminates the importance of hidden proteins in human cancers.
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Affiliation(s)
- Kun Meng
- MOE Key Laboratory of Tumor Molecular Biology and Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan UniversityGuangzhouChina
- The First Affiliated Hospital of Jinan University and MOE Key Laboratory of Tumor Molecular Biology, Jinan UniversityGuangzhouChina
| | - Shaohua Lu
- MOE Key Laboratory of Tumor Molecular Biology and Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan UniversityGuangzhouChina
- Sino‐French Hoffmann Institute, School of Basic Medical Sciences, State Key Laboratory of Respiratory DiseaseGuangzhou Medical UniversityGuangzhouChina
| | - Yu‐Ying Li
- MOE Key Laboratory of Tumor Molecular Biology and Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan UniversityGuangzhouChina
| | - Li‐Ling Hu
- MOE Key Laboratory of Tumor Molecular Biology and Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan UniversityGuangzhouChina
| | - Jing Zhang
- MOE Key Laboratory of Tumor Molecular Biology and Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan UniversityGuangzhouChina
- The First Affiliated Hospital of Jinan University and MOE Key Laboratory of Tumor Molecular Biology, Jinan UniversityGuangzhouChina
| | - Yun Cao
- Department of Pathology, State Key Laboratory of Oncology in South ChinaSun Yat‐sen University Cancer CenterGuangzhouChina
| | - Yang Wang
- MOE Key Laboratory of Tumor Molecular Biology and Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan UniversityGuangzhouChina
| | - Chris Zhiyi Zhang
- MOE Key Laboratory of Tumor Molecular Biology and Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan UniversityGuangzhouChina
| | - Qing‐Yu He
- MOE Key Laboratory of Tumor Molecular Biology and Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan UniversityGuangzhouChina
- The First Affiliated Hospital of Jinan University and MOE Key Laboratory of Tumor Molecular Biology, Jinan UniversityGuangzhouChina
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17
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Zhang P, Jiang H, Yang M, Bi C, Zhang K, Liu D, Wei M, Jiang Z, Lv K, Fang C, Liu J, Zhang T, Xu Y, Zhang J. AGK Potentiates Arterial Thrombosis by Affecting Talin-1 and αIIbβ3-Mediated Bidirectional Signaling Pathway. Arterioscler Thromb Vasc Biol 2023; 43:1015-1030. [PMID: 37051931 DOI: 10.1161/atvbaha.122.318647] [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: 03/15/2022] [Accepted: 03/22/2023] [Indexed: 04/14/2023]
Abstract
BACKGROUND AGK (acylglycerol kinase) was first identified as a mitochondrial transmembrane protein that exhibits a lipid kinase function. Recent studies have established that AGK promotes cancer growth and metastasis, enhances glycolytic metabolism and function fitness of CD8+ T cells, or regulates megakaryocyte differentiation. However, the role of AGK in platelet activation and arterial thrombosis remains to be elaborated. METHODS We performed hematologic analysis using automated hematology analyzer and investigated platelets morphology by transmission electron microscope. We explored the role of AGK in platelet activation and arterial thrombosis utilizing transgenic mice, platelet functional experiments in vitro, and thrombosis models in vivo. We revealed the regulation effect of AGK on Talin-1 by coimmunoprecipitation, mass spectrometry, immunofluorescence, and Western blot. We tested the role of AGK on lipid synthesis of phosphatidic acid/lysophosphatidic acid and thrombin generation by specific Elisa kits. RESULTS In this study, we found that AGK depletion or AGK mutation had no effect on the platelet average volumes, the platelet microstructures, or the expression levels of the major platelet membrane receptors. However, AGK deficiency or AGK mutation conspicuously decreased multiple aspects of platelet activation, including agonists-induced platelet aggregation, granules secretion, JON/A binding, spreading on Fg (fibrinogen), and clot retraction. AGK deficiency or AGK mutation also obviously delayed arterial thrombus formation but had no effect on tail bleeding time and platelet procoagulant function. Mechanistic investigation revealed that AGK may promote Talin-1Ser425 phosphorylation and affect the αIIbβ3-mediated bidirectional signaling pathway. However, AGK does not affect lipid synthesis of phosphatidic acid/lysophosphatidic acid in platelets. CONCLUSIONS AGK, through its kinase activity, potentiates platelet activation and arterial thrombosis by promoting Talin-1 Ser425 phosphorylation and affecting the αIIbβ3-mediated bidirectional signaling pathway.
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Affiliation(s)
- Peng Zhang
- Department of Cardiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, China (P.Z., C.B., K.Z., D.L., M.W., Z.J., T.Z., J.Z.)
| | - Haojie Jiang
- Department of Biochemistry and Molecular Cell Biology, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, China (H.J., M.Y., J.L., Y.X.)
| | - Mina Yang
- Department of Biochemistry and Molecular Cell Biology, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, China (H.J., M.Y., J.L., Y.X.)
| | - Changlong Bi
- Department of Cardiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, China (P.Z., C.B., K.Z., D.L., M.W., Z.J., T.Z., J.Z.)
| | - Kandi Zhang
- Department of Cardiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, China (P.Z., C.B., K.Z., D.L., M.W., Z.J., T.Z., J.Z.)
| | - Dongsheng Liu
- Department of Cardiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, China (P.Z., C.B., K.Z., D.L., M.W., Z.J., T.Z., J.Z.)
| | - Meng Wei
- Department of Cardiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, China (P.Z., C.B., K.Z., D.L., M.W., Z.J., T.Z., J.Z.)
| | - Zheyi Jiang
- Department of Cardiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, China (P.Z., C.B., K.Z., D.L., M.W., Z.J., T.Z., J.Z.)
| | - Keyu Lv
- Department of Pharmacology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China (K.L., C.F.)
| | - Chao Fang
- Department of Pharmacology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China (K.L., C.F.)
| | - Junling Liu
- Department of Biochemistry and Molecular Cell Biology, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, China (H.J., M.Y., J.L., Y.X.)
| | - Tiantian Zhang
- Department of Cardiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, China (P.Z., C.B., K.Z., D.L., M.W., Z.J., T.Z., J.Z.)
| | - Yanyan Xu
- Department of Biochemistry and Molecular Cell Biology, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, China (H.J., M.Y., J.L., Y.X.)
| | - Junfeng Zhang
- Department of Cardiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, China (P.Z., C.B., K.Z., D.L., M.W., Z.J., T.Z., J.Z.)
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Shang M, Ni L, Shan X, Cui Y, Hu P, Ji Z, Shen L, Zhang Y, Zhou J, Wang T, Yu Q. MTHFD2 reprograms macrophage polarization by inhibiting PTEN. Cell Rep 2023; 42:112481. [PMID: 37149861 DOI: 10.1016/j.celrep.2023.112481] [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: 10/12/2022] [Revised: 02/27/2023] [Accepted: 04/21/2023] [Indexed: 05/09/2023] Open
Abstract
The one-carbon metabolism enzyme methylenetetrahydrofolate dehydrogenase 2 (MTHFD2) is involved in the regulation of tumor oncogenesis and immune cell functions, but whether it can contribute to macrophage polarization remains elusive. Here, we show that MTHFD2 suppresses polarization of interferon-γ-activated macrophages (M(IFN-γ)) but enhances that of interleukin-4-activated macrophages (M(IL-4)) both in vitro and in vivo. Mechanistically, MTHFD2 interacts with phosphatase and tensin homolog (PTEN) to suppress PTEN's phosphatidylinositol 3,4,5-trisphosphate (PIP3) phosphatase activity and enhance downstream Akt activation, independent of the N-terminal mitochondria-targeting signal of MTHFD2. MTHFD2-PTEN interaction is promoted by IL-4 but not IFN-γ. Furthermore, amino acid residues (aa 215-225) of MTHFD2 directly target PTEN catalytic center (aa 118-141). Residue D168 of MTHFD2 is also critical for regulating PTEN's PIP3 phosphatase activity by affecting MTHFD2-PTEN interaction. Our study suggests a non-metabolic function of MTHFD2 by which MTHFD2 inhibits PTEN activity, orchestrates macrophage polarization, and alters macrophage-mediated immune responses.
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Affiliation(s)
- Man Shang
- Tianjin Institute of Immunology, Division of Infectious Disease, Second Hospital of Tianjin Medical University, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Department of Pharmacology and Tianjin Key Laboratory of Inflammation Biology, Tianjin Medical University, Tianjin, 300070, China
| | - Lina Ni
- Tianjin Institute of Immunology, Division of Infectious Disease, Second Hospital of Tianjin Medical University, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Department of Pharmacology and Tianjin Key Laboratory of Inflammation Biology, Tianjin Medical University, Tianjin, 300070, China
| | - Xiao Shan
- Tianjin Institute of Immunology, Division of Infectious Disease, Second Hospital of Tianjin Medical University, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Department of Pharmacology and Tianjin Key Laboratory of Inflammation Biology, Tianjin Medical University, Tianjin, 300070, China
| | - Yan Cui
- Tianjin Institute of Immunology, Division of Infectious Disease, Second Hospital of Tianjin Medical University, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Department of Pharmacology and Tianjin Key Laboratory of Inflammation Biology, Tianjin Medical University, Tianjin, 300070, China
| | - Penghui Hu
- Tianjin Institute of Immunology, Division of Infectious Disease, Second Hospital of Tianjin Medical University, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Department of Pharmacology and Tianjin Key Laboratory of Inflammation Biology, Tianjin Medical University, Tianjin, 300070, China
| | - Zemin Ji
- Tianjin Institute of Immunology, Division of Infectious Disease, Second Hospital of Tianjin Medical University, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Department of Pharmacology and Tianjin Key Laboratory of Inflammation Biology, Tianjin Medical University, Tianjin, 300070, China
| | - Long Shen
- Tianjin Institute of Immunology, Division of Infectious Disease, Second Hospital of Tianjin Medical University, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Department of Pharmacology and Tianjin Key Laboratory of Inflammation Biology, Tianjin Medical University, Tianjin, 300070, China
| | - Yanan Zhang
- Tianjin Institute of Immunology, Division of Infectious Disease, Second Hospital of Tianjin Medical University, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Department of Pharmacology and Tianjin Key Laboratory of Inflammation Biology, Tianjin Medical University, Tianjin, 300070, China
| | - Jinxue Zhou
- Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou 450008, China
| | - Ting Wang
- The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Department of Pharmacology and Tianjin Key Laboratory of Inflammation Biology, Tianjin Medical University, Tianjin 300070, China.
| | - Qiujing Yu
- Tianjin Institute of Immunology, Division of Infectious Disease, Second Hospital of Tianjin Medical University, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Department of Pharmacology and Tianjin Key Laboratory of Inflammation Biology, Tianjin Medical University, Tianjin, 300070, China.
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Goenka A, Khan F, Verma B, Sinha P, Dmello CC, Jogalekar MP, Gangadaran P, Ahn B. Tumor microenvironment signaling and therapeutics in cancer progression. Cancer Commun (Lond) 2023; 43:525-561. [PMID: 37005490 PMCID: PMC10174093 DOI: 10.1002/cac2.12416] [Citation(s) in RCA: 35] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 02/22/2023] [Accepted: 03/20/2023] [Indexed: 04/04/2023] Open
Abstract
Tumor development and metastasis are facilitated by the complex interactions between cancer cells and their microenvironment, which comprises stromal cells and extracellular matrix (ECM) components, among other factors. Stromal cells can adopt new phenotypes to promote tumor cell invasion. A deep understanding of the signaling pathways involved in cell-to-cell and cell-to-ECM interactions is needed to design effective intervention strategies that might interrupt these interactions. In this review, we describe the tumor microenvironment (TME) components and associated therapeutics. We discuss the clinical advances in the prevalent and newly discovered signaling pathways in the TME, the immune checkpoints and immunosuppressive chemokines, and currently used inhibitors targeting these pathways. These include both intrinsic and non-autonomous tumor cell signaling pathways in the TME: protein kinase C (PKC) signaling, Notch, and transforming growth factor (TGF-β) signaling, Endoplasmic Reticulum (ER) stress response, lactate signaling, Metabolic reprogramming, cyclic GMP-AMP synthase (cGAS)-stimulator of interferon genes (STING) and Siglec signaling pathways. We also discuss the recent advances in Programmed Cell Death Protein 1 (PD-1), Cytotoxic T-Lymphocyte Associated Protein 4 (CTLA4), T-cell immunoglobulin mucin-3 (TIM-3) and Lymphocyte Activating Gene 3 (LAG3) immune checkpoint inhibitors along with the C-C chemokine receptor 4 (CCR4)- C-C class chemokines 22 (CCL22)/ and 17 (CCL17), C-C chemokine receptor type 2 (CCR2)- chemokine (C-C motif) ligand 2 (CCL2), C-C chemokine receptor type 5 (CCR5)- chemokine (C-C motif) ligand 3 (CCL3) chemokine signaling axis in the TME. In addition, this review provides a holistic understanding of the TME as we discuss the three-dimensional and microfluidic models of the TME, which are believed to recapitulate the original characteristics of the patient tumor and hence may be used as a platform to study new mechanisms and screen for various anti-cancer therapies. We further discuss the systemic influences of gut microbiota in TME reprogramming and treatment response. Overall, this review provides a comprehensive analysis of the diverse and most critical signaling pathways in the TME, highlighting the associated newest and critical preclinical and clinical studies along with their underlying biology. We highlight the importance of the most recent technologies of microfluidics and lab-on-chip models for TME research and also present an overview of extrinsic factors, such as the inhabitant human microbiome, which have the potential to modulate TME biology and drug responses.
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Affiliation(s)
- Anshika Goenka
- The Ken & Ruth Davee Department of NeurologyThe Robert H. Lurie Comprehensive Cancer CenterNorthwestern University Feinberg School of MedicineChicago, 60611ILUSA
| | - Fatima Khan
- Department of Neurological SurgeryFeinberg School of MedicineNorthwestern UniversityChicago, 60611ILUSA
| | - Bhupender Verma
- Department of OphthalmologySchepens Eye Research InstituteMassachusetts Eye and Ear InfirmaryHarvard Medical SchoolBoston, 02114MAUSA
| | - Priyanka Sinha
- Department of NeurologyMassGeneral Institute for Neurodegenerative DiseaseMassachusetts General Hospital, Harvard Medical SchoolCharlestown, 02129MAUSA
| | - Crismita C. Dmello
- Department of Neurological SurgeryFeinberg School of MedicineNorthwestern UniversityChicago, 60611ILUSA
| | - Manasi P. Jogalekar
- Helen Diller Family Comprehensive Cancer CenterUniversity of California San FranciscoSan Francisco, 94143CAUSA
| | - Prakash Gangadaran
- BK21 FOUR KNU Convergence Educational Program of Biomedical Sciences for Creative Future TalentsDepartment of Biomedical Science, School of MedicineKyungpook National UniversityDaegu, 41944South Korea
- Department of Nuclear MedicineSchool of Medicine, Kyungpook National University, Kyungpook National University HospitalDaegu, 41944South Korea
| | - Byeong‐Cheol Ahn
- BK21 FOUR KNU Convergence Educational Program of Biomedical Sciences for Creative Future TalentsDepartment of Biomedical Science, School of MedicineKyungpook National UniversityDaegu, 41944South Korea
- Department of Nuclear MedicineSchool of Medicine, Kyungpook National University, Kyungpook National University HospitalDaegu, 41944South Korea
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Niu N, Ye J, Hu Z, Zhang J, Wang Y. Regulative Roles of Metabolic Plasticity Caused by Mitochondrial Oxidative Phosphorylation and Glycolysis on the Initiation and Progression of Tumorigenesis. Int J Mol Sci 2023; 24:ijms24087076. [PMID: 37108242 PMCID: PMC10139088 DOI: 10.3390/ijms24087076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 03/23/2023] [Accepted: 04/04/2023] [Indexed: 04/29/2023] Open
Abstract
One important feature of tumour development is the regulatory role of metabolic plasticity in maintaining the balance of mitochondrial oxidative phosphorylation and glycolysis in cancer cells. In recent years, the transition and/or function of metabolic phenotypes between mitochondrial oxidative phosphorylation and glycolysis in tumour cells have been extensively studied. In this review, we aimed to elucidate the characteristics of metabolic plasticity (emphasizing their effects, such as immune escape, angiogenesis migration, invasiveness, heterogeneity, adhesion, and phenotypic properties of cancers, among others) on tumour progression, including the initiation and progression phases. Thus, this article provides an overall understanding of the influence of abnormal metabolic remodeling on malignant proliferation and pathophysiological changes in carcinoma.
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Affiliation(s)
- Nan Niu
- Shenzhen Engineering Labortaory for Marine Algal Biotechnology, Longhua Innovation Institute for Biotechnology, College of Life Sciences and Oceanography, Lihu Campus of Shenzhen University, Shenzhen 518055, China
- College of Physics and Optoelectronic Engineering, Canghai Campus of Shenzhen University, Shenzhen 518060, China
| | - Jinfeng Ye
- Shenzhen Engineering Labortaory for Marine Algal Biotechnology, Longhua Innovation Institute for Biotechnology, College of Life Sciences and Oceanography, Lihu Campus of Shenzhen University, Shenzhen 518055, China
| | - Zhangli Hu
- Shenzhen Engineering Labortaory for Marine Algal Biotechnology, Longhua Innovation Institute for Biotechnology, College of Life Sciences and Oceanography, Lihu Campus of Shenzhen University, Shenzhen 518055, China
| | - Junbin Zhang
- Shenzhen Engineering Labortaory for Marine Algal Biotechnology, Longhua Innovation Institute for Biotechnology, College of Life Sciences and Oceanography, Lihu Campus of Shenzhen University, Shenzhen 518055, China
| | - Yun Wang
- Shenzhen Engineering Labortaory for Marine Algal Biotechnology, Longhua Innovation Institute for Biotechnology, College of Life Sciences and Oceanography, Lihu Campus of Shenzhen University, Shenzhen 518055, China
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Li YJ, Zhang C, Martincuks A, Herrmann A, Yu H. STAT proteins in cancer: orchestration of metabolism. Nat Rev Cancer 2023; 23:115-134. [PMID: 36596870 DOI: 10.1038/s41568-022-00537-3] [Citation(s) in RCA: 70] [Impact Index Per Article: 70.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/14/2022] [Indexed: 01/04/2023]
Abstract
Reprogrammed metabolism is a hallmark of cancer. However, the metabolic dependency of cancer, from tumour initiation through disease progression and therapy resistance, requires a spectrum of distinct reprogrammed cellular metabolic pathways. These pathways include aerobic glycolysis, oxidative phosphorylation, reactive oxygen species generation, de novo lipid synthesis, fatty acid β-oxidation, amino acid (notably glutamine) metabolism and mitochondrial metabolism. This Review highlights the central roles of signal transducer and activator of transcription (STAT) proteins, notably STAT3, STAT5, STAT6 and STAT1, in orchestrating the highly dynamic metabolism not only of cancer cells but also of immune cells and adipocytes in the tumour microenvironment. STAT proteins are able to shape distinct metabolic processes that regulate tumour progression and therapy resistance by transducing signals from metabolites, cytokines, growth factors and their receptors; defining genetic programmes that regulate a wide range of molecules involved in orchestration of metabolism in cancer and immune cells; and regulating mitochondrial activity at multiple levels, including energy metabolism and lipid-mediated mitochondrial integrity. Given the central role of STAT proteins in regulation of metabolic states, they are potential therapeutic targets for altering metabolic reprogramming in cancer.
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Affiliation(s)
- Yi-Jia Li
- Department of Immuno-Oncology, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, USA
| | - Chunyan Zhang
- Department of Immuno-Oncology, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, USA
| | - Antons Martincuks
- Department of Immuno-Oncology, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, USA
| | - Andreas Herrmann
- Department of Immuno-Oncology, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, USA
- Sorrento Therapeutics, San Diego, CA, USA
| | - Hua Yu
- Department of Immuno-Oncology, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, USA.
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22
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Hu Z, Pan Z, Dai Z, Zhao W, Li C, Yu H, Qin X. ω-6 polyunsaturated fatty acids derived lipid mediators promote colorectal cancer growth by providing an immunosuppressive microenvironment. Int Immunopharmacol 2023. [DOI: 10.1016/j.intimp.2023.109818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/19/2023]
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Abstract
T cells are one of few cell types in adult mammals that can proliferate extensively and differentiate diversely upon stimulation, which serves as an excellent example to dissect the metabolic basis of cell fate decisions. During the last decade, there has been an explosion of research into the metabolic control of T-cell responses. The roles of common metabolic pathways, including glycolysis, lipid metabolism, and mitochondrial oxidative phosphorylation, in T-cell responses have been well characterized, and their mechanisms of action are starting to emerge. In this review, we present several considerations for T-cell metabolism-focused research, while providing an overview of the metabolic control of T-cell fate decisions during their life journey. We try to synthesize principles that explain the causal relationship between cellular metabolism and T-cell fate decision. We also discuss key unresolved questions and challenges in targeting T-cell metabolism to treat disease.
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Affiliation(s)
- Min Peng
- Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China
- Institute for Immunology, Tsinghua University, Beijing 100084, China
- Tsinghua-Peking Center for Life Sciences, Beijing 100084, China
- Beijing Key Laboratory for Immunological Research on Chronic Diseases, Tsinghua University, Beijing 100084, China
| | - Ming O. Li
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Immunology and Microbial Pathogenesis Program, Weill Cornell Graduate School of Medical Sciences, Cornell University, New York, NY 10065, USA
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Castoldi A, Lee J, de Siqueira Carvalho D, Souto FO. CD8 + T cell metabolic changes in breast cancer. Biochim Biophys Acta Mol Basis Dis 2023; 1869:166565. [PMID: 36220587 DOI: 10.1016/j.bbadis.2022.166565] [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: 04/22/2022] [Revised: 08/22/2022] [Accepted: 10/03/2022] [Indexed: 11/05/2022]
Abstract
Immunometabolism has advanced our understanding of how the cellular environment and nutrient availability regulates immune cell fate. Not only are metabolic pathways closely tied to cell signaling and differentiation, but can induce different subsets of immune cells to adopt unique metabolic programs, influencing disease progression. Dysregulation of immune cell metabolism plays an essential role in the progression of several diseases including breast cancer (BC). Metabolic reprogramming plays a critical role in regulating T cell functions. CD8+ T cells are an essential cell type within the tumor microenvironment (TME). To induce antitumor responses, CD8+ T cells need to adapt their metabolism to fulfill their energy requirement for effective function. However, different markers and immunologic techniques have made identifying specific CD8+ T cells subtypes in BC a challenge to the field. This review discusses the immunometabolic processes of CD8+ T cell in the TME in the context of BC and highlights the role of CD8+ T cell metabolic changes in tumor progression.
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Affiliation(s)
- Angela Castoldi
- Instituto Keizo Asami, Universidade Federal de Pernambuco, Recife, Brazil; Núcleo de Ciências da Vida, Centro Acadêmico do Agreste, Universidade Federal de Pernambuco, Caruaru, Brazil; Programa de Pós-Graduação em Biologia Aplicada à Saúde, Universidade Federal de Pernambuco, Recife, Brazil.
| | - Jennifer Lee
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Avenue, Boston, MA 02215, USA
| | | | - Fabrício Oliveira Souto
- Instituto Keizo Asami, Universidade Federal de Pernambuco, Recife, Brazil; Núcleo de Ciências da Vida, Centro Acadêmico do Agreste, Universidade Federal de Pernambuco, Caruaru, Brazil; Programa de Pós-Graduação em Biologia Aplicada à Saúde, Universidade Federal de Pernambuco, Recife, Brazil
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25
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The new progress in cancer immunotherapy. Clin Exp Med 2022:10.1007/s10238-022-00887-0. [DOI: 10.1007/s10238-022-00887-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 08/30/2022] [Indexed: 12/12/2022]
Abstract
AbstractThe cross talk between immune and non-immune cells in the tumor microenvironment leads to immunosuppression, which promotes tumor growth and survival. Immunotherapy is an advanced treatment that boosts humoral and cellular immunity rather than using chemotherapy or radiation-based strategy associated with non-specific targets and toxic effects on normal cells. Immune checkpoint inhibitors and T cell-based immunotherapy have already exhibited significant effects against solid tumors and leukemia. Tumor cells that escape immune surveillance create a major obstacle to acquiring an effective immune response in cancer patients. Tremendous progress had been made in recent years on a wide range of innate and adaptive immune checkpoints which play a significant role to prevent tumorigenesis, and might therefore be potential targets to suppress tumor cells growth. This review aimed to summarize the underlying molecular mechanisms of existing immunotherapy approaches including T cell and NK-derived immune checkpoint therapy, as well as other intrinsic and phagocytosis checkpoints. Together, these insights will pave the way for new innate and adaptive immunomodulatory targets for the development of highly effective new therapy in the future.
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Li Q, Xie D, Yao L, Qiu H, You P, Deng J, Li C, Zhan W, Weng M, Wu S, Li F, Zhou Y, Zeng F, Zheng Y, Zhou H. Combining autophagy and immune characterizations to predict prognosis and therapeutic response in lung adenocarcinoma. Front Immunol 2022; 13:944378. [PMID: 36177001 PMCID: PMC9513242 DOI: 10.3389/fimmu.2022.944378] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Accepted: 08/17/2022] [Indexed: 02/05/2023] Open
Abstract
Background Autophagy, a key regulator of programmed cell death, is critical for maintaining the stability of the intracellular environment. Increasing evidence has revealed the clinical importance of interactions between autophagy and immune status in lung adenocarcinoma. The present study evaluated the potential of autophagy-immune-derived biomarkers to predict prognosis and therapeutic response in patients with lung adenocarcinoma. Methods Patients from the GSE72094 dataset were randomized 7:3 to a training set and an internal validation set. Three independent cohorts, TCGA, GSE31210, and GSE37745, were used for external verification. Unsupervised hierarchical clustering based on autophagy- and immune-associated genes was used to identify autophagy- and immune-associated molecular patterns, respectively. Significantly prognostic autophagy-immune genes were identified by LASSO analysis and by univariate and multivariate Cox regression analyses. Differences in tumor immune microenvironments, functional pathways, and potential therapeutic responses were investigated to differentiate high-risk and low-risk groups. Results High autophagy status and high immune status were associated with improved overall survival. Autophagy and immune subtypes were merged into a two-dimensional index to characterize the combined prognostic classifier, with 535 genes defined as autophagy-immune-related differentially expressed genes (DEGs). Four genes (C4BPA, CD300LG, CD96, and S100P) were identified to construct an autophagy-immune-related prognostic risk model. Survival and receiver operating characteristic (ROC) curve analyses showed that this model was significantly prognostic of survival. Patterns of autophagy and immune genes differed in low- and high-risk patients. Enrichment of most immune infiltrating cells was greater, and the expression of crucial immune checkpoint molecules was higher, in the low-risk group. TIDE and immunotherapy clinical cohort analysis predicted that the low-risk group had more potential responders to immunotherapy. GO, KEGG, and GSEA function analysis identified immune- and autophagy-related pathways. Autophagy inducers were observed in patients in the low-risk group, whereas the high-risk group was sensitive to autophagy inhibitors. The expression of the four genes was assessed in clinical specimens and cell lines. Conclusions The autophagy-immune-based gene signature represents a promising tool for risk stratification in patients with lung adenocarcinoma, guiding individualized targeted therapy or immunotherapy.
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Affiliation(s)
- Qiaxuan Li
- Department of Thoracic Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Shantou University Medical College, Shantou, China
| | - Daipeng Xie
- Department of Thoracic Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Guangdong Cardiovascular Institute, Guangzhou, China
| | - Lintong Yao
- Department of Thoracic Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Shantou University Medical College, Shantou, China
| | - Hongrui Qiu
- Department of Thoracic Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Peimeng You
- Department of Thoracic radiology, Cancer Hospital of Nanchang University, Jiangxi Key Laboratory of Translational Cancer Research (Jiangxi Cancer Hospital of Nanchang University), Nanchang, China
| | - Jialong Deng
- Department of Thoracic Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Congsen Li
- Department of Thoracic Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Shantou University Medical College, Shantou, China
| | - Weijie Zhan
- Department of Thoracic Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Maotao Weng
- Department of Thoracic Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Shantou University Medical College, Shantou, China
| | - Shaowei Wu
- Department of Thoracic Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Shantou University Medical College, Shantou, China
| | - Fasheng Li
- Department of Cardiothoracic Surgery, Affiliated Hospital of Guangdong Medical University, Guangzhou, China
| | - Yubo Zhou
- Department of Thoracic Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Fanjun Zeng
- Department of General Practice, Guangdong Provincial Geriatrics Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yong Zheng
- Department of Anesthesiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Haiyu Zhou
- Department of Thoracic Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Shantou University Medical College, Shantou, China
- Jiangxi Lung Cancer Institute, Nanchang, China
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Wang Q, Zhu T, Miao N, Qu Y, Wang Z, Chao Y, Wang J, Wu W, Xu X, Xu C, Xia L, Wang F. Disulfiram bolsters T-cell anti-tumor immunity through direct activation of LCK-mediated TCR signaling. EMBO J 2022; 41:e110636. [PMID: 35638332 DOI: 10.15252/embj.2022110636] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 05/04/2022] [Accepted: 05/06/2022] [Indexed: 12/13/2022] Open
Abstract
Activation of the T-cell antigen receptor (TCR)-CD3 complex is critical to induce the anti-tumor response of CD8+ T cells. Here, we found that disulfiram (DSF), an FDA-approved drug previously used to treat alcohol dependency, directly activates TCR signaling. Mechanistically, DSF covalently binds to Cys20/Cys23 residues of lymphocyte-specific protein tyrosine kinase (LCK) and enhances its tyrosine 394 phosphorylation, thereby promoting LCK kinase activity and boosting effector T cell function, interleukin-2 production, metabolic reprogramming, and proliferation. Furthermore, our in vivo data revealed that DSF promotes anti-tumor immunity against both melanoma and colon cancer in mice by activating CD8+ T cells, and this effect was enhanced by anti-PD-1 co-treatment. We conclude that DSF directly activates LCK-mediated TCR signaling to induce strong anti-tumor immunity, providing novel molecular insights into the therapeutic effect of DSF on cancer.
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Affiliation(s)
- Qinlan Wang
- Center for Immune-Related Diseases at Shanghai Institute of Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,State Key Laboratory of Oncogenes and Related Genes, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Research Center of Translational Medicine, Institute of Pediatric infection, Immunity and Intensive Care Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ting Zhu
- Translational Medicine Center, Shanghai Institute of Immunology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Naijun Miao
- Center for Immune-Related Diseases at Shanghai Institute of Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yingying Qu
- Translational Medicine Center, Shanghai Institute of Immunology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhuning Wang
- Center for Immune-Related Diseases at Shanghai Institute of Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yinong Chao
- Center for Immune-Related Diseases at Shanghai Institute of Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,State Key Laboratory of Oncogenes and Related Genes, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jing Wang
- Center for Immune-Related Diseases at Shanghai Institute of Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei Wu
- State Key Laboratory of Molecular Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China
| | - Xinyi Xu
- State Key Laboratory of Molecular Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China
| | - Chenqi Xu
- State Key Laboratory of Molecular Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China
| | - Li Xia
- Core Facility of Basic Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Feng Wang
- Center for Immune-Related Diseases at Shanghai Institute of Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,State Key Laboratory of Oncogenes and Related Genes, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Research Center of Translational Medicine, Institute of Pediatric infection, Immunity and Intensive Care Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Translational Medicine Center, Shanghai Institute of Immunology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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28
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Long Y, Li C, Zhu B. Circ_0008068 facilitates the oral squamous cell carcinoma development by microRNA-153-3p/acylgycerol kinase (AGK) axis. Bioengineered 2022; 13:13055-13069. [PMID: 35635053 PMCID: PMC9275858 DOI: 10.1080/21655979.2022.2074106] [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] [Indexed: 11/21/2022] Open
Abstract
Oral squamous cell carcinoma (OSCC) is a common cancer with high recurrence, metastasis rates and poor prognosis. Circular RNAs (circRNAs) take part in regulating OSCC. Herein, we examined the role of circ_0008068 in OSCC. The circ_0008068, Katanin p60 ATPase-containing subunit A-like 1 (KATNAL1) mRNA, microRNA-153-3p (miR-153-3p) and acylgycerol kinase (AGK) contents were indicated by quantitative real-time polymerase chain reaction (qRT-PCR) and western blot. Moreover, in vitro and in vivo assays were conducted to scrutinize the effects of circ_0008068 on OSCC. Additionally, the contact between miR-153-3p and circ_0008068 or AGK was assessed by dual-luciferase reporter assay and RNA immunoprecipitation (RIP) assay. Thereafter, we found that the appearance of circ_0008068 and AGK was increased, and miR-153-3p content was diminished in OSCC. Circ_0008068 lack subdued cell proliferation, migration, invasion, tube formation and glycolysis metabolism, but stimulated cell apoptosis in OSCC. In addition, circ_0008068 bound to miR-153-3p to modulate the expression of its target AGK. Besides, miR-153-3p was validated to act as a tumor suppressor in OSCC tumorigenesis by suppressing AGK. Additionally, circ_0008068 knockdown also attenuated tumor growth in nude mice. In all, circ_0008068 expedited the growth of OSCC by miR-153-3p/AGK axis. Abbreviations: OSCC: Oral squamous cell carcinoma; AGK: Acylgycerol kinase; CircRNA: Circular RNA; KATNAL1: Katanin p60 ATPase-containing subunit A-like 1; qRT-PCR: Quantitative real-time polymerase chain reaction; miRNAs/miRs: MicroRNAs; RIP: RNA immunoprecipitation; 3′UTR3’: -untranslated region; HK2: Hexokinase 2; LDHA Lactate dehydrogenase A; IHC: Immunohistochemistry; CCK8: Cell counting kit-8; GAPDH: Glyceraldehyde-3-phosphate dehydrogenase
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Affiliation(s)
- Yuanyuan Long
- Department of Prosthodontics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Chenxing Li
- Department of Oral and Maxillofacial Surgery, Henan Provincial Stomatological Hospital, Zhengzhou, Henan, China
| | - Baoyu Zhu
- Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
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Ding N, Wang K, Jiang H, Yang M, Zhang L, Fan X, Zou Q, Yu J, Dong H, Cheng S, Xu Y, Liu J. AGK regulates the progression to NASH by affecting mitochondria complex I function. Am J Cancer Res 2022; 12:3237-3250. [PMID: 35547757 PMCID: PMC9065199 DOI: 10.7150/thno.69826] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 03/25/2022] [Indexed: 12/21/2022] Open
Abstract
Background: Impaired mitochondrial function contributes to non-alcoholic steatohepatitis (NASH). Acylglycerol kinase (AGK) is a subunit of the translocase of the mitochondrial inner membrane 22 (TIM22) protein import complex. AGK mutation is the leading cause of Sengers syndrome, characterized by congenital cataracts, hypertrophic cardiomyopathy, skeletal myopathy, lactic acidosis, and liver dysfunction. The potential roles and mechanisms of AGK in NASH are not yet elucidated. Methods: Hepatic-specific AGK-deficient mice and AGK G126E mutation (AGK kinase activity arrest) mice were on a choline-deficient and high-fat diet (CDAHFD) and a methionine choline-deficient diet (MCD). The mitochondrial function and the molecular mechanisms underlying AGK were investigated in the pathogenesis of NASH. Results: The levels of AGK were significantly downregulated in human NASH liver samples. AGK deficiency led to severe liver damage and lipid accumulation in mice. Aged mice lacking hepatocyte AGK spontaneously developed NASH. AGK G126E mutation did not affect the structure and function of hepatocytes. AGK deficiency, but not AGK G126E mice, aggravated CDAHFD- and MCD-induced NASH symptoms. AGK deficiency-induced liver damage could be attributed to hepatic mitochondrial dysfunction. The mechanism revealed that AGK interacts with mitochondrial respiratory chain complex I subunits, NDUFS2 and NDUFA10, and regulates mitochondrial fatty acid metabolism. Moreover, the AGK DGK domain might directly interact with NDUFS2 and NDUFA10 to maintain the hepatic mitochondrial respiratory chain complex I function. Conclusions: The current study revealed the critical roles of AGK in NASH. AGK interacts with mitochondrial respiratory chain complex I to maintain mitochondrial integrity via the kinase-independent pathway.
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Affiliation(s)
- Nan Ding
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kang Wang
- Department of Hepatic Surgery VI, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, China
| | - Haojie Jiang
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mina Yang
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lin Zhang
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xuemei Fan
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qiang Zou
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jianxiu Yu
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hui Dong
- Department of Hepatic Surgery VI, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, China
| | - Shuqun Cheng
- Department of Hepatic Surgery VI, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, China
| | - Yanyan Xu
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Junling Liu
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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30
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Zheng Y, Wu R, Wang X, Yin C. Identification of a Four-Gene Metabolic Signature to Evaluate the Prognosis of Colon Adenocarcinoma Patients. Front Public Health 2022; 10:860381. [PMID: 35462848 PMCID: PMC9021388 DOI: 10.3389/fpubh.2022.860381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Accepted: 03/14/2022] [Indexed: 11/24/2022] Open
Abstract
Background Colon adenocarcinoma (COAD) is a highly heterogeneous disease, thus making prognostic predictions uniquely challenging. Metabolic reprogramming is emerging as a novel cancer hallmark that may serve as the basis for more effective prognosis strategies. Methods The mRNA expression profiles and relevant clinical information of COAD patients were downloaded from public resources. The least absolute shrinkage and selection operator (LASSO) Cox regression model was exploited to establish a prognostic model, which was performed to gain risk scores for multiple genes in The Cancer Genome Atlas (TCGA) COAD patients and validated in GSE39582 cohort. A forest plot and nomogram were constructed to visualize the data. The clinical nomogram was calibrated using a calibration curve coupled with decision curve analysis (DCA). The association between the model genes' expression and six types of infiltrating immunocytes was evaluated. Apoptosis, cell cycle assays and cell transfection experiments were performed. Results Univariate Cox regression analysis results indicated that ten differentially expressed genes (DEGs) were related with disease-free survival (DFS) (P-value< 0.01). A four-gene signature was developed to classify patients into high- and low-risk groups. And patients with high-risk exhibited obviously lower DFS in the training and validation cohorts (P < 0.05). The risk score was an independent parameter of the multivariate Cox regression analyses of DFS in the training cohort (HR > 1, P-value< 0.001). The same findings for overall survival (OS) were obtained GO enrichment analysis revealed several metabolic pathways with significant DEGs enrichment, G1/S transition of mitotic cell cycle, CD8+ T-cells and B-cells may be significantly associated with COAD in DFS and OS. These findings demonstrate that si-FUT1 inhibited cell migration and facilitated apoptosis in COAD. Conclusion This research reveals that a novel metabolic gene signature could be used to evaluate the prognosis of COAD, and targeting metabolic pathways may serve as a therapeutic alternative.
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Affiliation(s)
- Yang Zheng
- Graduate School, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Acute Abdomen Disease Associated Organ Injury and ITCWM Repair, Institute of Integrative Medicine for Acute Abdominal Diseases, Tianjin Nankai Hospital, Tianjin, China
| | - Rilige Wu
- College of Science, Beijing University of Posts and Telecommunications, Beijing, China
| | - Ximo Wang
- Graduate School, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Acute Abdomen Disease Associated Organ Injury and ITCWM Repair, Institute of Integrative Medicine for Acute Abdominal Diseases, Tianjin Nankai Hospital, Tianjin, China
- Tianjin Haihe Hospital, Tianjin, China
| | - Chengliang Yin
- Faculty of Medicine, Macau University of Science and Technology, Macau, China
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31
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Wu Z, Huang H, Han Q, Hu Z, Teng XL, Ding R, Ye Y, Yu X, Zhao R, Wang Z, Zou Q. SENP7 senses oxidative stress to sustain metabolic fitness and antitumor functions of CD8+ T cells. J Clin Invest 2022; 132:155224. [PMID: 35143421 PMCID: PMC8970670 DOI: 10.1172/jci155224] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 02/08/2022] [Indexed: 01/22/2023] Open
Abstract
The functional integrity of CD8+ T cells is tightly coupled to metabolic reprogramming, but how oxidative stress directs CD8+ T cell metabolic fitness in the tumor microenvironment (TME) remains elusive. Here, we report that SUMO-specific protease 7 (SENP7) senses oxidative stress to maintain the CD8+ T cell metabolic state and antitumor functions. SENP7-deficient CD8+ T cells exhibited decreased glycolysis and oxidative phosphorylation, resulting in attenuated proliferation in vitro and dampened antitumor functions in vivo. Mechanistically, CD8+ T cell–derived ROS triggered cytosolic SENP7–mediated PTEN deSUMOylation, thereby promoting PTEN degradation and preventing PTEN-dependent metabolic defects. Importantly, lowering T cell–intrinsic ROS restricted SENP7 cytosolic translocation and repressed CD8+ T cell metabolic and functional activity in human colorectal cancer samples. Our findings reveal that SENP7, as an oxidative stress sensor, sustains CD8+ T cell metabolic fitness and effector functions and unveil an oxidative stress–sensing machinery in tumor-infiltrating CD8+ T cells.
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Affiliation(s)
- Zhongqiu Wu
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, State Key Laboratory of Oncogenes and Related Genes, Hongqiao International Institute of Medicine, Tongren Hospital, Shanghai, China
| | - Haiyan Huang
- Department of General Surgery, Ruijin Hospital, Shanghai, China
| | - Qiaoqiao Han
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, State Key Laboratory of Oncogenes and Related Genes, Hongqiao International Institute of Medicine, Tongren Hospital, Shanghai, China
| | - Zhilin Hu
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, State Key Laboratory of Oncogenes and Related Genes, Hongqiao International Institute of Medicine, Tongren Hospital, Shanghai, China
| | - Xiao-Lu Teng
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, State Key Laboratory of Oncogenes and Related Genes, Hongqiao International Institute of Medicine, Tongren Hospital, Shanghai, China
| | - Rui Ding
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, State Key Laboratory of Oncogenes and Related Genes, Hongqiao International Institute of Medicine, Tongren Hospital, Shanghai, China
| | - Youqiong Ye
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, State Key Laboratory of Oncogenes and Related Genes, Hongqiao International Institute of Medicine, Tongren Hospital, Shanghai, China
| | - Xiaoyan Yu
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, State Key Laboratory of Oncogenes and Related Genes, Hongqiao International Institute of Medicine, Tongren Hospital, Shanghai, China
| | - Ren Zhao
- Department of General Surgery, Ruijin Hospital, Shanghai, China
| | - Zhengting Wang
- Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qiang Zou
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, State Key Laboratory of Oncogenes and Related Genes, Hongqiao International Institute of Medicine, Tongren Hospital, Shanghai, China
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32
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Zhang J, Zhang Q, Shi Y, Wang P, Gong Y, He S, Li Z, Feng N, Wang Y, Jiang P, Ci W, Li X, Zhou L. Metabolism-Related Signature Analysis Uncovers the Prognostic and Immunotherapeutic Characteristics of Renal Cell Carcinoma. Front Mol Biosci 2022; 9:837145. [PMID: 35419412 PMCID: PMC8995851 DOI: 10.3389/fmolb.2022.837145] [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: 12/16/2021] [Accepted: 02/28/2022] [Indexed: 11/13/2022] Open
Abstract
Renal cell carcinoma (RCC) is one of the most common urological cancers. RCC has a poor prognosis and is considered a metabolic disease. It has been reported that many metabolic pathways are associated with the development of RCC. However, the prognostic value of metabolism-related genes in RCC is unclear. We herein aimed to establish a scoring system based on the gene expression profile of metabolic genes to evaluate the response to immunotherapy and predict the prognosis of RCC. In this study, we collected multicentre RCC data and performed integrated analysis to characterize the role of tumour metabolism in RCC and explore the relationship between metabolism and prognosis and immune therapy. Based on transcriptomic data, metabolism-related genes were used for nonnegative matrix factorization clustering. We obtained three subclasses of RCC (M1, M2, and M3), and they are associated with different prognoses and immune infiltrate levels. Then, based on the pathway activity of 113 metabolism-related gene signatures, we classified patients into three distinct metabolism-related signatures. Finally, we provide a metabolism-related pathway score (MRPScore) that is significantly associated with RCC prognosis and the response to immunotherapy. Taken together, in this study, we established an RCC classification system based on metabolic gene expression profiles that could further the understanding of the diversity of RCC. We also present the MRPScore, which may be used as an indicator to predict the response to clinical immune therapy.
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Affiliation(s)
- Jianye Zhang
- Department of Urology, Peking University First Hospital, Beijing, China
- Key Laboratory of Genomics and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
- Institute of Urology, Peking University, Beijing, China
- National Urological Cancer Center, Beijing, China
- Urogenital Diseases (Male) Molecular Diagnosis and Treatment Centre, Peking University, Beijing, China
| | - Qi Zhang
- Key Laboratory of Genomics and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Yue Shi
- Key Laboratory of Genomics and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Ping Wang
- Key Laboratory of Genomics and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Yanqing Gong
- Department of Urology, Peking University First Hospital, Beijing, China
- Institute of Urology, Peking University, Beijing, China
- National Urological Cancer Center, Beijing, China
- Urogenital Diseases (Male) Molecular Diagnosis and Treatment Centre, Peking University, Beijing, China
| | - Shiming He
- Department of Urology, Peking University First Hospital, Beijing, China
- Institute of Urology, Peking University, Beijing, China
- National Urological Cancer Center, Beijing, China
- Urogenital Diseases (Male) Molecular Diagnosis and Treatment Centre, Peking University, Beijing, China
| | - Zhihua Li
- Department of Urology, Peking University First Hospital, Beijing, China
- Institute of Urology, Peking University, Beijing, China
- National Urological Cancer Center, Beijing, China
- Urogenital Diseases (Male) Molecular Diagnosis and Treatment Centre, Peking University, Beijing, China
| | - Ninghan Feng
- Department of Urology, Affiliated Wuxi No. 2 Hospital of Nanjing Medical University, Wuxi, China
| | - Yang Wang
- Department of Urology, Affiliated Wuxi No. 2 Hospital of Nanjing Medical University, Wuxi, China
| | - Peng Jiang
- Department of Urology, Affiliated Wuxi No. 2 Hospital of Nanjing Medical University, Wuxi, China
| | - Weimin Ci
- Key Laboratory of Genomics and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
- *Correspondence: Weimin Ci, ; Xuesong Li, ; Liqun Zhou,
| | - Xuesong Li
- Department of Urology, Peking University First Hospital, Beijing, China
- Institute of Urology, Peking University, Beijing, China
- National Urological Cancer Center, Beijing, China
- Urogenital Diseases (Male) Molecular Diagnosis and Treatment Centre, Peking University, Beijing, China
- *Correspondence: Weimin Ci, ; Xuesong Li, ; Liqun Zhou,
| | - Liqun Zhou
- Department of Urology, Peking University First Hospital, Beijing, China
- Institute of Urology, Peking University, Beijing, China
- National Urological Cancer Center, Beijing, China
- Urogenital Diseases (Male) Molecular Diagnosis and Treatment Centre, Peking University, Beijing, China
- *Correspondence: Weimin Ci, ; Xuesong Li, ; Liqun Zhou,
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Du Z, Liu H, Bai L, Yan D, Li H, Peng S, Cao J, Liu SB, Tang Z. A Radiosensitivity Prediction Model Developed Based on Weighted Correlation Network Analysis of Hypoxia Genes for Lower-Grade Glioma. Front Oncol 2022; 12:757686. [PMID: 35280808 PMCID: PMC8916576 DOI: 10.3389/fonc.2022.757686] [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: 08/12/2021] [Accepted: 01/31/2022] [Indexed: 11/13/2022] Open
Abstract
Background and PurposeHypoxia is one of the basic characteristics of the physical microenvironment of solid tumors. The relationship between radiotherapy and hypoxia is complex. However, there is no radiosensitivity prediction model based on hypoxia genes. We attempted to construct a radiosensitivity prediction model developed based on hypoxia genes for lower-grade glioma (LGG) by using weighted correlation network analysis (WGCNA) and least absolute shrinkage and selection operator (Lasso).MethodsIn this research, radiotherapy-related module genes were selected after WGCNA. Then, Lasso was performed to select genes in patients who received radiotherapy. Finally, 12 genes (AGK, ETV4, PARD6A, PTP4A2, RIOK3, SIGMAR1, SLC34A2, SMURF1, STK33, TCEAL1, TFPI, and UROS) were included in the model. A radiosensitivity-related risk score model was established based on the overall rate of The Cancer Genome Atlas (TCGA) dataset in patients who received radiotherapy. The model was validated in TCGA dataset and two Chinese Glioma Genome Atlas (CGGA) datasets. A novel nomogram was developed to predict the overall survival of LGG patients.ResultsWe developed and verified a radiosensitivity-related risk score model based on hypoxia genes. The radiosensitivity-related risk score served as an independent prognostic indicator. This radiosensitivity-related risk score model has prognostic prediction ability. Moreover, a nomogram integrating risk score with age and tumor grade was established to perform better for predicting 1-, 3-, and 5-year survival rates.ConclusionsWe developed and validated a radiosensitivity prediction model that can be used by clinicians and researchers to predict patient survival rates and achieve personalized treatment of LGG.
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Affiliation(s)
- Zixuan Du
- Department of Biostatistics and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, Suzhou, China
- Suzhou Key Laboratory of Medical Biotechnology, Suzhou Vocational Health College, Suzhou, China
| | - Hanshan Liu
- Department of Medical Oncology, Jiangsu Provincial Corps Hospital, Chinese People’s Armed Police Forces, Yangzhou City, China
| | - Lu Bai
- Department of Biostatistics and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, Suzhou, China
- Suzhou Key Laboratory of Medical Biotechnology, Suzhou Vocational Health College, Suzhou, China
| | - Derui Yan
- Department of Biostatistics and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Huijun Li
- Department of Biostatistics and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Sun Peng
- Department of Otolaryngology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - JianPing Cao
- School of Radiation Medicine and Protection and Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou, China
| | - Song-Bai Liu
- Suzhou Key Laboratory of Medical Biotechnology, Suzhou Vocational Health College, Suzhou, China
- *Correspondence: Zaixiang Tang, ; Song-Bai Liu,
| | - Zaixiang Tang
- Department of Biostatistics and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, Suzhou, China
- *Correspondence: Zaixiang Tang, ; Song-Bai Liu,
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Oberholtzer N, Quinn KM, Chakraborty P, Mehrotra S. New Developments in T Cell Immunometabolism and Implications for Cancer Immunotherapy. Cells 2022; 11:708. [PMID: 35203357 PMCID: PMC8870179 DOI: 10.3390/cells11040708] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 02/05/2022] [Accepted: 02/10/2022] [Indexed: 12/12/2022] Open
Abstract
Despite rapid advances in the field of immunotherapy, the elimination of established tumors has not been achieved. Many promising new treatments such as adoptive cell therapy (ACT) fall short, primarily due to the loss of T cell effector function or the failure of long-term T cell persistence. With the availability of new tools and advancements in technology, our understanding of metabolic processes has increased enormously in the last decade. Redundancy in metabolic pathways and overlapping targets that could address the plasticity and heterogenous phenotypes of various T cell subsets have illuminated the need for understanding immunometabolism in the context of multiple disease states, including cancer immunology. Herein, we discuss the developing field of T cell immunometabolism and its crucial relevance to improving immunotherapeutic approaches. This in-depth review details the metabolic pathways and preferences of the antitumor immune system and the state of various metabolism-targeting therapeutic approaches.
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Affiliation(s)
- Nathaniel Oberholtzer
- Department of Surgery, Medical University of South Carolina, Charleston, SC 29425, USA; (K.M.Q.); (P.C.)
| | | | | | - Shikhar Mehrotra
- Department of Surgery, Medical University of South Carolina, Charleston, SC 29425, USA; (K.M.Q.); (P.C.)
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35
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Yuan Y, Li H, Pu W, Chen L, Guo D, Jiang H, He B, Qin S, Wang K, Li N, Feng J, Wen J, Cheng S, Zhang Y, Yang W, Ye D, Lu Z, Huang C, Mei J, Zhang HF, Gao P, Jiang P, Su S, Sun B, Zhao SM. Cancer metabolism and tumor microenvironment: fostering each other? SCIENCE CHINA. LIFE SCIENCES 2022; 65:236-279. [PMID: 34846643 DOI: 10.1007/s11427-021-1999-2] [Citation(s) in RCA: 67] [Impact Index Per Article: 33.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Accepted: 08/19/2021] [Indexed: 02/06/2023]
Abstract
The changes associated with malignancy are not only in cancer cells but also in environment in which cancer cells live. Metabolic reprogramming supports tumor cell high demand of biogenesis for their rapid proliferation, and helps tumor cell to survive under certain genetic or environmental stresses. Emerging evidence suggests that metabolic alteration is ultimately and tightly associated with genetic changes, in particular the dysregulation of key oncogenic and tumor suppressive signaling pathways. Cancer cells activate HIF signaling even in the presence of oxygen and in the absence of growth factor stimulation. This cancer metabolic phenotype, described firstly by German physiologist Otto Warburg, insures enhanced glycolytic metabolism for the biosynthesis of macromolecules. The conception of metabolite signaling, i.e., metabolites are regulators of cell signaling, provides novel insights into how reactive oxygen species (ROS) and other metabolites deregulation may regulate redox homeostasis, epigenetics, and proliferation of cancer cells. Moreover, the unveiling of noncanonical functions of metabolic enzymes, such as the moonlighting functions of phosphoglycerate kinase 1 (PGK1), reassures the importance of metabolism in cancer development. The metabolic, microRNAs, and ncRNAs alterations in cancer cells can be sorted and delivered either to intercellular matrix or to cancer adjacent cells to shape cancer microenvironment via media such as exosome. Among them, cancer microenvironmental cells are immune cells which exert profound effects on cancer cells. Understanding of all these processes is a prerequisite for the development of a more effective strategy to contain cancers.
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Affiliation(s)
- Yiyuan Yuan
- Obstetrics & Gynecology Hospital of Fudan University, State Key Laboratory of Genetic Engineering, Fudan University, Shanghai, 200438, China
| | - Huimin Li
- State Key Laboratory of Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Wang Pu
- Molecular and Cell Biology Lab, Institutes of Biomedical Sciences and School of Life Sciences, Fudan University, Shanghai, 200032, China
| | - Leilei Chen
- Molecular and Cell Biology Lab, Institutes of Biomedical Sciences and School of Life Sciences, Fudan University, Shanghai, 200032, China
| | - Dong Guo
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, 310029, China
| | - Hongfei Jiang
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, 310029, China
| | - Bo He
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, and State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and Collaborative Innovation Center for Biotherapy, Chengdu, 610041, China
| | - Siyuan Qin
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, and State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and Collaborative Innovation Center for Biotherapy, Chengdu, 610041, China
| | - Kui Wang
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, and State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and Collaborative Innovation Center for Biotherapy, Chengdu, 610041, China
| | - Na Li
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory of Tumor Microenvironment and Inflammation, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Jingwei Feng
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China
| | - Jing Wen
- State Key Laboratory of Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, 200031, China.,School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Shipeng Cheng
- State Key Laboratory of Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, 200031, China.,School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Yaguang Zhang
- State Key Laboratory of Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, 200031, China.,School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Weiwei Yang
- State Key Laboratory of Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Dan Ye
- Molecular and Cell Biology Lab, Institutes of Biomedical Sciences and School of Life Sciences, Fudan University, Shanghai, 200032, China.
| | - Zhimin Lu
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, 310029, China.
| | - Canhua Huang
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, and State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and Collaborative Innovation Center for Biotherapy, Chengdu, 610041, China.
| | - Jun Mei
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory of Tumor Microenvironment and Inflammation, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Hua-Feng Zhang
- CAS Centre for Excellence in Cell and Molecular Biology, the CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230027, China.
| | - Ping Gao
- School of Medicine, Institutes for Life Sciences, South China University of Technology, Guangzhou, 510006, China.
| | - Peng Jiang
- Tsinghua University School of Life Sciences, and Tsinghua-Peking Center for Life Sciences, Beijing, 100084, China.
| | - Shicheng Su
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China.
| | - Bing Sun
- State Key Laboratory of Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, 200031, China. .,School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
| | - Shi-Min Zhao
- Obstetrics & Gynecology Hospital of Fudan University, State Key Laboratory of Genetic Engineering, Fudan University, Shanghai, 200438, China.
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Lin X, Deng J, Deng H, Yang Y, Sun N, Zhou M, Qin Y, Xie X, Li S, Zhong N, Song Y, Zhou C. Comprehensive Analysis of the Immune Microenvironment in Checkpoint Inhibitor Pneumonitis. Front Immunol 2022; 12:818492. [PMID: 35095920 DOI: 10.3389/fimmu.2021.818492] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 12/13/2021] [Indexed: 12/13/2022] Open
Abstract
Background While immune checkpoint inhibitors (ICIs) are a beacon of hope for non-small cell lung cancer (NSCLC) patients, they can also cause adverse events, including checkpoint inhibitor pneumonitis (CIP). Research shows that the inflammatory immune microenvironment plays a vital role in the development of CIP. However, the role of the immune microenvironment (IME) in CIP is still unclear. Methods We collected a cohort of NSCLC patients treated with ICIs that included eight individuals with CIP (CIP group) and 29 individuals without CIP (Control group). CIBERSORT and the xCell algorithm were used to evaluate the proportion of immune cells. Gene set enrichment analysis (GSEA) and single-sample GSEA (ssGSEA) were used to evaluate pathway activity. The ridge regression algorithm was used to analyze drug sensitivity. Results CIBERSORT showed significantly upregulated memory B cells, CD8+ T cells, and M1 Macrophages in the CIP group. The number of memory resting CD4+ T cells and resting NK cells in the CIP group was also significantly lower than in the Control group. The XCell analysis showed a higher proportion of Class-switched memory B-cells and M1 Macrophages in the CIP group. Pathway analysis showed that the CIP group had high activity in their immune and inflammatory response pathways and low activity in their immune exhaustion related pathway. Conclusions In this study, we researched CIP patients who after ICIs treatment developed an inflammatory IME, which is characterized by significantly increased activated immune cells and expression of inflammatory molecules, as well as downregulated immunosuppressive lymphocytes and signaling pathways. The goal was to develop theoretical guidance for clinical guidelines for the treatment of CIP in the future.
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Affiliation(s)
- Xinqing Lin
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, China.,State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Jiaxi Deng
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Haiyi Deng
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Yilin Yang
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Ni Sun
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Maolin Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Yinyin Qin
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Xiaohong Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Shiyue Li
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Nanshan Zhong
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Yong Song
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, China.,Department of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing, China
| | - Chengzhi Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
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37
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Lian X, Yang K, Li R, Li M, Zuo J, Zheng B, Wang W, Wang P, Zhou S. Immunometabolic rewiring in tumorigenesis and anti-tumor immunotherapy. Mol Cancer 2022; 21:27. [PMID: 35062950 PMCID: PMC8780708 DOI: 10.1186/s12943-021-01486-5] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 12/20/2021] [Indexed: 12/22/2022] Open
Abstract
Cellular metabolism constitutes a fundamental process in biology. During tumor initiation and progression, each cellular component in the cancerous niche undergoes dramatic metabolic reprogramming, adapting to a challenging microenvironment of hypoxia, nutrient deprivation, and other stresses. While the metabolic hallmarks of cancer have been extensively studied, the metabolic states of the immune cells are less well elucidated. Here we review the metabolic disturbance and fitness of the immune system in the tumor microenvironment (TME), focusing on the impact of oncometabolites to the function of immune cells and the clinical significance of targeting metabolism in anti-tumor immunotherapy. Metabolic alterations in the immune system of TME offer novel therapeutic insight into cancer treatment.
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38
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Zou J, Gu Y, Zhu Q, Li X, Qin L. Identifying Glycolysis-related LncRNAs for predicting prognosis in breast cancer patients. Cancer Biomark 2022; 34:393-401. [PMID: 35068448 PMCID: PMC9198763 DOI: 10.3233/cbm-210446] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
PURPOSE: Functions associated with glycolysis could serve as targets or biomarkers for therapy cancer. Our purpose was to establish a prognostic model that could evaluate the importance of Glycolysis-related lncRNAs in breast cancer. METHODS: Gene expressions were evaluated for breast cancer through The Cancer Genome Atlas (TCGA) database, and we calculated Pearson correlations to discover potential related lncRNAs. Differentially expressed genes were identified via criteria of FDR < 0.05 and |FC|> 2. Total samples were separated into training and validating sets randomly. Univariate Cox regression identified 14 prognostic lncRNAs in training set. A prognostic model was constructed to evaluate the accuracy in predicting prognosis. The univariate and multivariate Cox analysis were performed to verify whether lncRNA signature could be an independent prognostic factor The signature was validated in validating set. Immune infiltration levels were assessed. RESULTS: Eighty-nine differentially expressed lncRNAs were identified from 420 Glycolysis-related lncRNAs. 14 lncRNAs were correlated with prognosis in training set and were selected to establish the prognostic model. Low risk group had better prognosis in both training (p= 9.025 e -10) and validating (p= 4.272 e -3) sets. The univariate and multivariate Cox analysis revealed that risk score of glycolysis-related lncRNAs (P< 0.001) was an independent prognostic factor in both training and validating sets. The neutrophils (p= 4.214 e -13, r=-0.223), CD4+ T cells (p= 1.833 e -20, r=-0.283), CD8+ T cells (p= 7.641 e -12, r=-0.211), B cells (p= 2.502 e -10, r=-0.195) and dendritic cells (p= 5.14 e -18, r=-0.265) were negatively correlated with risk score of prognostic model. The Macrophage (p= 0.016, r= 0.0755) was positively correlated with the risk score. CONCLUSION: Our study indicated that glycolysis-related lncRNAs had a significant role to facilitate the individualized survival prediction in breast cancer patients, which would be a potential therapeutic target.
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Affiliation(s)
- Jiayue Zou
- Department of Hepatobiliary Surgery, General Surgery, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Yanlin Gu
- Department of Thyroid and Breast Surgery, Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Qi Zhu
- Department of Thyroid and Breast Surgery, Traditional Chinese Medicine Hospital of Kunshan, Kunshan, Jiangsu, China
| | - Xiaohua Li
- Department of Thyroid and Breast Surgery, Wuzhong People’s Hospital of Suzhou City, Suzhou, Jiangsu, China
| | - Lei Qin
- Department of Hepatobiliary Surgery, General Surgery, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
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39
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Chapman NM, Chi H. Metabolic adaptation of lymphocytes in immunity and disease. Immunity 2022; 55:14-30. [PMID: 35021054 PMCID: PMC8842882 DOI: 10.1016/j.immuni.2021.12.012] [Citation(s) in RCA: 109] [Impact Index Per Article: 54.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 12/12/2021] [Accepted: 12/16/2021] [Indexed: 12/15/2022]
Abstract
Adaptive immune responses mediated by T cells and B cells are crucial for protective immunity against pathogens and tumors. Differentiation and function of immune cells require dynamic reprogramming of cellular metabolism. Metabolic inputs, pathways, and enzymes display remarkable flexibility and heterogeneity, especially in vivo. How metabolic plasticity and adaptation dictate functional specialization of immune cells is fundamental to our understanding and therapeutic modulation of the immune system. Extensive progress has been made in characterizing the effects of metabolic networks on immune cell fate and function in discrete microenvironments or immunological contexts. In this review, we summarize how rewiring of cellular metabolism determines the outcome of adaptive immunity in vivo, with a focus on how metabolites, nutrients, and driver genes in immunometabolism instruct cellular programming and immune responses during infection, inflammation, and cancer in mice and humans. Understanding context-dependent metabolic remodeling will manifest legitimate opportunities for therapeutic intervention of human disease.
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Affiliation(s)
- Nicole M Chapman
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Hongbo Chi
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
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40
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Characterization of a Novel Splicing Variant in Acylglycerol Kinase (AGK) Associated with Fatal Sengers Syndrome. Int J Mol Sci 2021; 22:ijms222413484. [PMID: 34948281 PMCID: PMC8708263 DOI: 10.3390/ijms222413484] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Revised: 12/09/2021] [Accepted: 12/13/2021] [Indexed: 12/26/2022] Open
Abstract
Mitochondrial functional integrity depends on protein and lipid homeostasis in the mitochondrial membranes and disturbances in their accumulation can cause disease. AGK, a mitochondrial acylglycerol kinase, is not only involved in lipid signaling but is also a component of the TIM22 complex in the inner mitochondrial membrane, which mediates the import of a subset of membrane proteins. AGK mutations can alter both phospholipid metabolism and mitochondrial protein biogenesis, contributing to the pathogenesis of Sengers syndrome. We describe the case of an infant carrying a novel homozygous AGK variant, c.518+1G>A, who was born with congenital cataracts, pielic ectasia, critical congenital dilated myocardiopathy, and hyperlactacidemia and died 20 h after birth. Using the patient’s DNA, we performed targeted sequencing of 314 nuclear genes encoding respiratory chain complex subunits and proteins implicated in mitochondrial oxidative phosphorylation (OXPHOS). A decrease of 96-bp in the length of the AGK cDNA sequence was detected. Decreases in the oxygen consumption rate (OCR) and the OCR:ECAR (extracellular acidification rate) ratio in the patient’s fibroblasts indicated reduced electron flow through the respiratory chain, and spectrophotometry revealed decreased activity of OXPHOS complexes I and V. We demonstrate a clear defect in mitochondrial function in the patient’s fibroblasts and describe the possible molecular mechanism underlying the pathogenicity of this novel AGK variant. Experimental validation using in vitro analysis allowed an accurate characterization of the disease-causing variant.
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41
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Pan C, Li B, Simon MC. Moonlighting functions of metabolic enzymes and metabolites in cancer. Mol Cell 2021; 81:3760-3774. [PMID: 34547237 DOI: 10.1016/j.molcel.2021.08.031] [Citation(s) in RCA: 65] [Impact Index Per Article: 21.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 08/17/2021] [Accepted: 08/23/2021] [Indexed: 12/18/2022]
Abstract
The growing field of tumor metabolism has greatly expanded our knowledge of metabolic reprogramming in cancer. Apart from their established roles, various metabolic enzymes and metabolites harbor non-canonical ("moonlighting") functions to support malignant transformation. In this article, we intend to review the current understanding of moonlighting functions of metabolic enzymes and related metabolites broadly existing in cancer cells by dissecting each major metabolic pathway and its regulation of cellular behaviors. Understanding these non-canonical functions may broaden the horizon of the cancer metabolism field and uncover novel therapeutic vulnerabilities in cancer.
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Affiliation(s)
- Chaoyun Pan
- Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China
| | - Bo Li
- Department of Biochemistry, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510080, China; Center for Precision Medicine, Sun Yat-sen University, Guangzhou 510080, China.
| | - M Celeste Simon
- Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
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42
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Fan T, Pan S, Yang S, Hao B, Zhang L, Li D, Geng Q. Clinical Significance and Immunologic Landscape of a Five-IL(R)-Based Signature in Lung Adenocarcinoma. Front Immunol 2021; 12:693062. [PMID: 34497605 PMCID: PMC8419226 DOI: 10.3389/fimmu.2021.693062] [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: 04/09/2021] [Accepted: 08/03/2021] [Indexed: 01/05/2023] Open
Abstract
Interleukins (ILs) and interleukin receptors (ILRs) play important role in the antitumor immune response. However, the expression signature and clinical characteristics of the IL(R) family in lung adenocarcinoma (LUAD) remains unclear. The main purpose of this study was to explore the expression profile of IL(R) family genes and construct an IL(R)-based prognostic signature in LUAD. Five public datasets of 1,312 patients with LUAD were enrolled in this study. Samples from The Cancer Genome Atlas (TCGA) were used as the training set, and samples from the other four cohorts extracted from Gene Expression Omnibus (GEO) database were used as the validation set. Additionally, the profile of IL(R) family signature was explored, and the association between this signature and immunotherapy response was also analyzed. Meanwhile, the prognostic value was compared between this IL(R)-based signature and different immunotherapy markers. A signature based on five identified IL(R)s (IL7R, IL5RA, IL20RB, IL11, IL22RA1) was constructed using the TCGA dataset through univariate/multivariable Cox proportional hazards regression and least absolute shrinkage and selection operator (LASSO) Cox analysis. These cases with LUAD were stratified into high- and low-risk group according to the risk score. This signature showed a strong prognostic ability, which was verified by the five independent cohorts and clinical subtypes. The IL(R)-based models presented unique characteristics in terms of immune cell infiltration and immune inflammation profile in tumor microenvironment (TME). Biological pathway analysis confirmed that high-risk patients showed significant T- and B-cell immunosuppression and rapid tumor cell proliferation. More importantly, we researched the relationship between this IL(R)-based signature and immune checkpoints, tumor mutation burden (TMB), tumor purity and ploidy, and tumor immune dysfunction and exclusion (TIDE) score, which confirmed that this signature gave the best prognostic value. We first provided a robust prognostic IL(R)-based signature, which had the potential as a predictor for immunotherapy response to realize individualized treatment of LUAD.
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Affiliation(s)
- Tao Fan
- Department of Thoracic Surgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Shize Pan
- Department of Thoracic Surgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Shuo Yang
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Bo Hao
- Department of Thoracic Surgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Lin Zhang
- Department of Thoracic Surgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Donghang Li
- Department of Thoracic Surgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Qing Geng
- Department of Thoracic Surgery, Renmin Hospital of Wuhan University, Wuhan, China
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Li Y, Tang J, Jiang J, Chen Z. Metabolic checkpoints and novel approaches for immunotherapy against cancer. Int J Cancer 2021; 150:195-207. [PMID: 34460110 PMCID: PMC9298207 DOI: 10.1002/ijc.33781] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2021] [Revised: 06/07/2021] [Accepted: 06/11/2021] [Indexed: 01/22/2023]
Abstract
While immunotherapy has achieved unprecedented success in conquering cancer, the majority of patients develop primary or acquired resistance to immunotherapy, largely in part due to the complicated metabolic networks in the tumor microenvironment. The microenvironmental metabolic networks are woven by a set of metabolic checkpoints, and accumulating evidence indicates that these metabolic checkpoints orchestrate antitumor immunity and immunotherapy. Metabolic checkpoints can regulate T cell development, differentiation and function, orchestrate metabolic competition between tumor cells and infiltrating T cells, and respond to the metabolic stress imposed on the infiltrating T cells. Furthermore, metabolic checkpoints and pathways can modulate the expression profiles of immune checkpoint receptors and ligands and vice versa. Therefore, repurposing interventions targeting metabolic checkpoints might synergize with immunotherapy, and promising approaches to reprogram the metabolic environment are much more warranted. In this review, we summarize recent researches on the metabolic checkpoints and discuss how these metabolic checkpoints regulate antitumor immunity and the promising approaches to modulate these metabolic checkpoints in the combination therapy. A comprehensive and objective understanding of the metabolic checkpoints might help the research and development of novel approaches to antitumor immunotherapy.
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Affiliation(s)
- Yiming Li
- National Translational Science Center for Molecular Medicine, Department of Cell Biology, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Juan Tang
- National Translational Science Center for Molecular Medicine, Department of Cell Biology, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Jianli Jiang
- National Translational Science Center for Molecular Medicine, Department of Cell Biology, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Zhinan Chen
- National Translational Science Center for Molecular Medicine, Department of Cell Biology, Fourth Military Medical University, Xi'an, Shaanxi, China
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44
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Wang F, Zhang Y, Yu X, Teng XL, Ding R, Hu Z, Wang A, Wang Z, Ye Y, Zou Q. ZFP91 disturbs metabolic fitness and antitumor activity of tumor-infiltrating T cells. J Clin Invest 2021; 131:e144318. [PMID: 34403361 DOI: 10.1172/jci144318] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 08/11/2021] [Indexed: 11/17/2022] Open
Abstract
Proper metabolic activities facilitate T cell expansion and antitumor function; however, the mechanisms underlying disruption of the T cell metabolic programme and function in the tumor microenvironment (TME) remain elusive. Here, we show a Zinc finger protein 91 (ZFP91)-governed mechanism disrupting the metabolic pathway and antitumor activity of tumor-infiltrating T cells. Single-cell RNA sequencing revealed that impairments in T cell proliferation and activation correlated with ZFP91 in tissue samples from colorectal cancer patients. T cell-specific deletion of Zfp91 led to enhanced T cell proliferation and potentiated T cell antitumor function. Loss of ZFP91 increased mammalian target of rapamycin complex 1 (mTORC1) activity to drive T cell glycolysis. Mechanistically, T cell antigen receptor (TCR)-dependent ZFP91 cytosolic translocation promoted protein phosphatase 2A (PP2A) complex assembly, thereby restricting mTORC1-mediated metabolic reprogramming. Our results demonstrate that ZFP91 perturbs T cell metabolic and functional states in the TME and suggest that targeting ZFP91 may improve the efficacy of cancer immunotherapy.
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Affiliation(s)
- Feixiang Wang
- Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuerong Zhang
- Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaoyan Yu
- Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiao-Lu Teng
- Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Rui Ding
- Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhilin Hu
- Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Aiting Wang
- Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhengting Wang
- Department of Gastroenterology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Youqiong Ye
- Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qiang Zou
- Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Chu B, Hong Z, Zheng X. Acylglycerol Kinase-Targeted Therapies in Oncology. Front Cell Dev Biol 2021; 9:659158. [PMID: 34368119 PMCID: PMC8339474 DOI: 10.3389/fcell.2021.659158] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 06/28/2021] [Indexed: 12/26/2022] Open
Abstract
Acylglycerol kinase (AGK) is a recently discovered mitochondrial lipid kinase, and mutation of its gene is the fundamental cause of Sengers syndrome. AGK is not only involved in the stability of lipid metabolism but also closely related to mitochondrial protein transport, glycolysis, and thrombocytopoiesis. Evidence indicates that AGK is an important factor in the occurrence and development of tumors. Specifically, AGK has been identified as an oncogene that partakes in the regulation of tumor cell growth, invasion, metastasis, and drug resistance. The versatility of AGK and its unique role in different types of cancerous and normal cells greatly piqued our interest. We believe that AGK is a promising target for cancer therapy. Therefore, this review summarizes the main research advances concerning AGK, including the discovery of its physiological/pathogenic mechanisms, and provides a reference for the feasible evaluation of AGK as a therapeutic target for human diseases, particularly tumors.
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Affiliation(s)
- Binxiang Chu
- Department of Orthopedic, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China
| | - Zhenghua Hong
- Department of Orthopedic, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China
| | - Xiaohe Zheng
- Department of Pathology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China
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46
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He J, Shangguan X, Zhou W, Cao Y, Zheng Q, Tu J, Hu G, Liang Z, Jiang C, Deng L, Wang S, Yang W, Zuo Y, Ma J, Cai R, Chen Y, Fan Q, Dong B, Xue W, Tan H, Qi Y, Gu J, Su B, Eugene Chin Y, Chen G, Wang Q, Wang T, Cheng J. Glucose limitation activates AMPK coupled SENP1-Sirt3 signalling in mitochondria for T cell memory development. Nat Commun 2021; 12:4371. [PMID: 34272364 PMCID: PMC8285428 DOI: 10.1038/s41467-021-24619-2] [Citation(s) in RCA: 60] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Accepted: 06/22/2021] [Indexed: 12/15/2022] Open
Abstract
Metabolic programming and mitochondrial dynamics along with T cell differentiation affect T cell fate and memory development; however, how to control metabolic reprogramming and mitochondrial dynamics in T cell memory development is unclear. Here, we provide evidence that the SUMO protease SENP1 promotes T cell memory development via Sirt3 deSUMOylation. SENP1-Sirt3 signalling augments the deacetylase activity of Sirt3, promoting both OXPHOS and mitochondrial fusion. Mechanistically, SENP1 activates Sirt3 deacetylase activity in T cell mitochondria, leading to reduction of the acetylation of mitochondrial metalloprotease YME1L1. Consequently, deacetylation of YME1L1 suppresses its activity on OPA1 cleavage to facilitate mitochondrial fusion, which results in T cell survival and promotes T cell memory development. We also show that the glycolytic intermediate fructose-1,6-bisphosphate (FBP) as a negative regulator suppresses AMPK-mediated activation of the SENP1-Sirt3 axis and reduces memory development. Moreover, glucose limitation reduces FBP production and activates AMPK during T cell memory development. These data show that glucose limitation activates AMPK and the subsequent SENP1-Sirt3 signalling for T cell memory development.
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Affiliation(s)
- Jianli He
- State Key Laboratory of Oncogenes and Related Genes, Renji Hospital Affiliated; Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Department of Biochemistry and Molecular Cell Biology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xun Shangguan
- Department of Urology, Renji Hospital Affiliated, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Department of Urology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei Zhou
- State Key Laboratory of Oncogenes and Related Genes, Renji Hospital Affiliated; Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Department of Biochemistry and Molecular Cell Biology, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Department of Urology, Renji Hospital Affiliated, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ying Cao
- State Key Laboratory of Oncogenes and Related Genes, Renji Hospital Affiliated; Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Department of Biochemistry and Molecular Cell Biology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Quan Zheng
- State Key Laboratory of Oncogenes and Related Genes, Renji Hospital Affiliated; Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Department of Biochemistry and Molecular Cell Biology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jun Tu
- State Key Laboratory of Oncogenes and Related Genes, Renji Hospital Affiliated; Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Department of Biochemistry and Molecular Cell Biology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Gaolei Hu
- State Key Laboratory of Oncogenes and Related Genes, Renji Hospital Affiliated; Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Department of Biochemistry and Molecular Cell Biology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zi Liang
- State Key Laboratory of Oncogenes and Related Genes, Renji Hospital Affiliated; Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Department of Biochemistry and Molecular Cell Biology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Cen Jiang
- State Key Laboratory of Oncogenes and Related Genes, Renji Hospital Affiliated; Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Department of Biochemistry and Molecular Cell Biology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Liufu Deng
- Department of Urology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shengdian Wang
- Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Wen Yang
- State Key Laboratory of Oncogenes and Related Genes, Renji Hospital Affiliated; Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Department of Biochemistry and Molecular Cell Biology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yong Zuo
- State Key Laboratory of Oncogenes and Related Genes, Renji Hospital Affiliated; Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Department of Biochemistry and Molecular Cell Biology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiao Ma
- State Key Laboratory of Oncogenes and Related Genes, Renji Hospital Affiliated; Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Department of Biochemistry and Molecular Cell Biology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Rong Cai
- State Key Laboratory of Oncogenes and Related Genes, Renji Hospital Affiliated; Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Department of Biochemistry and Molecular Cell Biology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yalan Chen
- State Key Laboratory of Oncogenes and Related Genes, Renji Hospital Affiliated; Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Department of Biochemistry and Molecular Cell Biology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qiuju Fan
- State Key Laboratory of Oncogenes and Related Genes, Renji Hospital Affiliated; Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Department of Biochemistry and Molecular Cell Biology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Baijun Dong
- Department of Urology, Renji Hospital Affiliated, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei Xue
- Department of Urology, Renji Hospital Affiliated, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hongsheng Tan
- Clinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yitao Qi
- College of Life Sciences, Shaanxi Normal University, Xi'an, Shaanxi, China
| | - Jianmin Gu
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Bing Su
- Shanghai Institute of Immunology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Y Eugene Chin
- Institutes of Biology and Medical Sciences, Soochow University Medical College, Suzhou, Jiangsu, China
| | - Guoqiang Chen
- State Key Laboratory of Oncogenes and Related Genes, Renji Hospital Affiliated; Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Department of Biochemistry and Molecular Cell Biology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qi Wang
- Department of Urology, Renji Hospital Affiliated, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Tianshi Wang
- State Key Laboratory of Oncogenes and Related Genes, Renji Hospital Affiliated; Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Department of Biochemistry and Molecular Cell Biology, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Jinke Cheng
- State Key Laboratory of Oncogenes and Related Genes, Renji Hospital Affiliated; Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Department of Biochemistry and Molecular Cell Biology, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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47
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Lu N, Liu J, Ji C, Wang Y, Wu Z, Yuan S, Xing Y, Diao F. MiRNA based tumor mutation burden diagnostic and prognostic prediction models for endometrial cancer. Bioengineered 2021; 12:3603-3620. [PMID: 34252354 PMCID: PMC8806700 DOI: 10.1080/21655979.2021.1947940] [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] [Indexed: 01/03/2023] Open
Abstract
Uterus Corpus Endometrial cancer (UCEC) is the sixth most common malignant tumor worldwide. In this research, we identified diagnostic and prognostic biomarkers to reflect patients’ immune microenvironment and prognostic. Various data of UCEC patients from the TCGA database were obtained. Firstly, patients were divided into a high tumor mutation burden (TMB) level group and a low TMB level group according to the level of TMB. Then, differentially expressed miRNAs between the two groups were obtained. LASSO logistic regression analysis was used to construct a diagnostic model to predict the level of TMB. Univariate, multivariate, and LASSO regression analysis were used to construct a prognostic risk signature (PRS) to predict the prognosis of UCEC patients. Twenty-one miRNAs were used to construct a diagnostic model for predicting TMB levels. The AUC values of ROC curves for 21-miRNA-based diagnostic models were 0.911 in the training set, 0.827 in the test set, and 0.878 in the entire set. This diagnostic model showed positive correlation with TMB, PDL1 expression, and the infiltration of immune cells. In addition, three prognostic miRNAs were finally used to construct the PRS. The PRS was related to the expression of multiple immune checkpoints and the infiltration of multiple immune cells. Furthermore, the PRS can also reflect the response to some commonly used chemotherapy regimens. We have established a miRNA-based diagnostic model and a prognostic model that can predict the prognosis of UCEC patients and their response to chemotherapy and immunotherapy, thus providing valuable information on the choice of treatment regimen.
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Affiliation(s)
- Nan Lu
- Department of Reproduction, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
| | - Jinhui Liu
- Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Chengjian Ji
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yichun Wang
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Zhipeng Wu
- Department of Urology, The Affiliated Sir Run Run Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Shuning Yuan
- Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yan Xing
- Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Feiyang Diao
- Department of Reproduction, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
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48
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T cell metabolism in homeostasis and cancer immunity. Curr Opin Biotechnol 2021; 68:240-250. [PMID: 33676144 DOI: 10.1016/j.copbio.2021.02.003] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 02/02/2021] [Accepted: 02/10/2021] [Indexed: 12/19/2022]
Abstract
T cells shape immune responses in cancer, autoimmunity and infection, in which CD4+ T helper (Th) and CD8+ T cells mediate effector responses that are suppressed by regulatory T (Treg) cells. The balance between effector T cell and Treg cell function orchestrates immune homeostasis and functional programming, with important contributions to the onset and progression of cancer. Cellular metabolism is dynamically rewired in T cells in response to environmental cues and dictates various aspects of T cell function. In this review, we summarize recent findings on how cellular metabolism modulates effector T cell and Treg cell functional fitness in homeostasis and cancer immunity, and highlight the therapeutic implications of targeting immunometabolic pathways for cancer and other diseases.
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49
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The role of AGK in thrombocytopoiesis and possible therapeutic strategies. Blood 2021; 136:119-129. [PMID: 32202634 DOI: 10.1182/blood.2019003851] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Accepted: 03/03/2020] [Indexed: 12/11/2022] Open
Abstract
Abnormal megakaryocyte development and platelet production lead to thrombocytopenia or thrombocythemia and increase the risk of hemorrhage or thrombosis. Acylglycerol kinase (AGK) is a mitochondrial membrane kinase that catalyzes the formation of phosphatidic acid and lysophosphatidic acid. Mutation of AGK has been described as the major cause of Sengers syndrome, and the patients with Sengers syndrome have been reported to exhibit thrombocytopenia. In this study, we found that megakaryocyte/platelet-specific AGK-deficient mice developed thrombocytopenia and splenomegaly, mainly caused by inefficient bone marrow thrombocytopoiesis and excessive extramedullary hematopoiesis, but not by apoptosis of circulating platelets. It has been reported that the G126E mutation arrests the kinase activity of AGK. The AGK G126E mutation did not affect peripheral platelet counts or megakaryocyte differentiation, suggesting that the involvement of AGK in megakaryocyte development and platelet biogenesis was not dependent on its kinase activity. The Mpl/Janus kinase 2 (JAK2)/signal transducer and activator of transcription 3 (Stat3) pathway is the major signaling pathway regulating megakaryocyte development. Our study confirmed that AGK can bind to JAK2 in megakaryocytes/platelets. More interestingly, we found that the JAK2 V617F mutation dramatically enhanced the binding of AGK to JAK2 and greatly facilitated JAK2/Stat3 signaling in megakaryocytes/platelets in response to thrombopoietin. We also found that the JAK2 JAK homology 2 domain peptide YGVCF617CGDENI enhanced the binding of AGK to JAK2 and that cell-permeable peptides containing YGVCF617CGDENI sequences accelerated proplatelet formation. Therefore, our study reveals critical roles of AGK in megakaryocyte differentiation and platelet biogenesis and suggests that targeting the interaction between AGK and JAK2 may be a novel strategy for the treatment of thrombocytopenia or thrombocythemia.
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50
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Huang T, Hosseinibarkooie S, Borne AL, Granade ME, Brulet JW, Harris TE, Ferris HA, Hsu KL. Chemoproteomic profiling of kinases in live cells using electrophilic sulfonyl triazole probes. Chem Sci 2021; 12:3295-3307. [PMID: 34164099 PMCID: PMC8179411 DOI: 10.1039/d0sc06623k] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Accepted: 01/08/2021] [Indexed: 12/23/2022] Open
Abstract
Sulfonyl-triazoles are a new class of electrophiles that mediate covalent reaction with tyrosine residues on proteins through sulfur-triazole exchange (SuTEx) chemistry. Recent studies demonstrate the broad utility and tunability of SuTEx chemistry for chemical proteomics and protein ligand discovery. Here, we present a strategy for mapping protein interaction networks of structurally complex binding elements using functionalized SuTEx probes. We show that the triazole leaving group (LG) can serve as a releasable linker for embedding hydrophobic fragments to direct molecular recognition while permitting efficient proteome-wide identification of binding sites in live cells. We synthesized a series of SuTEx probes functionalized with a lipid kinase fragment binder for discovery of ligandable tyrosines residing in catalytic and regulatory domains of protein and metabolic kinases in live cells. We performed competition studies with kinase inhibitors and substrates to demonstrate that probe binding is occurring in an activity-dependent manner. Our functional studies led to discovery of probe-modified sites within the C2 domain that were important for downregulation of protein kinase C-alpha in response to phorbol ester activation. Our proof of concept studies highlight the triazole LG of SuTEx probes as a traceless linker for locating protein binding sites targeted by complex recognition elements in live cells.
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Affiliation(s)
- Tao Huang
- Department of Chemistry, University of Virginia McCormick Road, P.O. Box 400319 Charlottesville Virginia 22904 USA +1-434-297-4864
| | | | - Adam L Borne
- Department of Pharmacology, University of Virginia School of Medicine Charlottesville Virginia 22908 USA
| | - Mitchell E Granade
- Department of Pharmacology, University of Virginia School of Medicine Charlottesville Virginia 22908 USA
| | - Jeffrey W Brulet
- Department of Chemistry, University of Virginia McCormick Road, P.O. Box 400319 Charlottesville Virginia 22904 USA +1-434-297-4864
| | - Thurl E Harris
- Department of Pharmacology, University of Virginia School of Medicine Charlottesville Virginia 22908 USA
| | - Heather A Ferris
- Department of Medicine, University of Virginia School of Medicine Charlottesville Virginia 22903 USA
| | - Ku-Lung Hsu
- Department of Chemistry, University of Virginia McCormick Road, P.O. Box 400319 Charlottesville Virginia 22904 USA +1-434-297-4864
- Department of Pharmacology, University of Virginia School of Medicine Charlottesville Virginia 22908 USA
- University of Virginia Cancer Center, University of Virginia Charlottesville VA 22903 USA
- Department of Molecular Physiology and Biological Physics, University of Virginia Charlottesville Virginia 22908 USA
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