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Keerthiga R, Xie Y, Pei D, Fu A. The multifaceted modulation of mitochondrial metabolism in tumorigenesis. Mitochondrion 2024:101977. [PMID: 39505244 DOI: 10.1016/j.mito.2024.101977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 11/01/2024] [Accepted: 11/02/2024] [Indexed: 11/08/2024]
Abstract
Changes in mitochondrial metabolism produce a malignant transformation from normal cells to tumor cells. Mitochondrial metabolism, comprising bioenergetic metabolism, biosynthetic process, biomolecular decomposition, and metabolic signal conversion, obviously forms a unique sign in the process of tumorigenesis. Several oncometabolites produced by mitochondrial metabolism maintain tumor phenotype, which are recognized as tumor indicators. The mitochondrial metabolism synchronizes the metabolic and genetic outcome to the potent tumor microenvironmental signals, thereby further promoting tumor initiation. Moreover, the bioenergetic and biosynthetic metabolism within tumor mitochondria orchestrates dynamic contributions toward cancer progression and invasion. In this review, we describe the contribution of mitochondrial metabolism in tumorigenesis through shaping several hallmarks such as microenvironment modulation, plasticity, mitochondrial calcium, mitochondrial dynamics, and epithelial-mesenchymal transition. The review will provide a new insight into the abnormal mitochondrial metabolism in tumorigenesis, which will be conducive to tumor prevention and therapy through targeting tumor mitochondria.
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Affiliation(s)
- Rajendiran Keerthiga
- College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China
| | - Yafang Xie
- College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China
| | - Desheng Pei
- College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China
| | - Ailing Fu
- College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China.
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2
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Shi F, Shang L, Zhou M, Lv C, Li Y, Luo C, Liu N, Lu J, Tang M, Luo X, Xu J, Fan J, Zhou J, Gao Q, Wu W, Jia W, Wang H, Cao Y. Epstein-Barr virus-driven metabolic alterations contribute to the viral lytic reactivation and tumor progression in nasopharyngeal carcinoma. J Med Virol 2024; 96:e29634. [PMID: 38682578 DOI: 10.1002/jmv.29634] [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: 12/19/2023] [Revised: 03/28/2024] [Accepted: 04/16/2024] [Indexed: 05/01/2024]
Abstract
Metabolic reprogramming induced by Epstein-Barr virus (EBV) often mirrors metabolic changes observed in cancer cells. Accumulating evidence suggests that lytic reactivation is crucial in EBV-associated oncogenesis. The aim of this study was to explore the role of metabolite changes in EBV-associated malignancies and viral life cycle control. We first revealed that EBV (LMP1) accelerates the secretion of the oncometabolite D-2HG, and serum D-2HG level is a potential diagnostic biomarker for NPC. EBV (LMP1)-driven metabolite changes disrupts the homeostasis of global DNA methylation and demethylation, which have a significantly inhibitory effect on active DNA demethylation and 5hmC content. We found that loss of 5hmC indicates a poor prognosis for NPC patients, and that 5hmC modification is a restriction factor of EBV reactivation. We confirmed a novel EBV reactivation inhibitor, α-KG, which inhibits the expression of EBV lytic genes with CpG-containing ZREs and the latent-lytic switch by enhancing 5hmC modification. Our results demonstrate a novel mechanism of which metabolite abnormality driven by EBV controls the viral lytic reactivation through epigenetic modification. This study presents a potential strategy for blocking EBV reactivation, and provides potential targets for the diagnosis and therapy of NPC.
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Affiliation(s)
- Feng Shi
- Key Laboratory of Carcinogenesis and Cancer Invasion of Chinese Ministry of Education, XiangYa Hospital, Central South University, Changsha, China
- Department of Pathology, National Clinical Research Center for Geriatric Disorders/XiangYa Hospital, Central South University, Changsha, China
- Key Laboratory of Carcinogenesis of National Health Commission, Cancer Research Institute and School of Basic Medical Science, Xiangya School of Medicine, Central South University, Changsha, China
| | - Li Shang
- Key Laboratory of Carcinogenesis and Cancer Invasion of Chinese Ministry of Education, XiangYa Hospital, Central South University, Changsha, China
- Department of Pathology, National Clinical Research Center for Geriatric Disorders/XiangYa Hospital, Central South University, Changsha, China
- Key Laboratory of Carcinogenesis of National Health Commission, Cancer Research Institute and School of Basic Medical Science, Xiangya School of Medicine, Central South University, Changsha, China
| | - Min Zhou
- Key Laboratory of Carcinogenesis and Cancer Invasion of Chinese Ministry of Education, XiangYa Hospital, Central South University, Changsha, China
- Department of Pathology, National Clinical Research Center for Geriatric Disorders/XiangYa Hospital, Central South University, Changsha, China
- Key Laboratory of Carcinogenesis of National Health Commission, Cancer Research Institute and School of Basic Medical Science, Xiangya School of Medicine, Central South University, Changsha, China
| | - Cong Lv
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
| | - Yueshuo Li
- Key Laboratory of Carcinogenesis and Cancer Invasion of Chinese Ministry of Education, XiangYa Hospital, Central South University, Changsha, China
- Key Laboratory of Carcinogenesis of National Health Commission, Cancer Research Institute and School of Basic Medical Science, Xiangya School of Medicine, Central South University, Changsha, China
| | - Cheng Luo
- Key Laboratory of Carcinogenesis and Cancer Invasion of Chinese Ministry of Education, XiangYa Hospital, Central South University, Changsha, China
- Department of Pathology, National Clinical Research Center for Geriatric Disorders/XiangYa Hospital, Central South University, Changsha, China
- Key Laboratory of Carcinogenesis of National Health Commission, Cancer Research Institute and School of Basic Medical Science, Xiangya School of Medicine, Central South University, Changsha, China
| | - Na Liu
- Key Laboratory of Carcinogenesis and Cancer Invasion of Chinese Ministry of Education, XiangYa Hospital, Central South University, Changsha, China
- Key Laboratory of Carcinogenesis of National Health Commission, Cancer Research Institute and School of Basic Medical Science, Xiangya School of Medicine, Central South University, Changsha, China
| | - Jingchen Lu
- Key Laboratory of Carcinogenesis and Cancer Invasion of Chinese Ministry of Education, XiangYa Hospital, Central South University, Changsha, China
- Key Laboratory of Carcinogenesis of National Health Commission, Cancer Research Institute and School of Basic Medical Science, Xiangya School of Medicine, Central South University, Changsha, China
| | - Min Tang
- Key Laboratory of Carcinogenesis and Cancer Invasion of Chinese Ministry of Education, XiangYa Hospital, Central South University, Changsha, China
- Key Laboratory of Carcinogenesis of National Health Commission, Cancer Research Institute and School of Basic Medical Science, Xiangya School of Medicine, Central South University, Changsha, China
- Department of Radiology, National Clinical Research Center for Geriatric Disorders/XiangYa Hospital, Central South University, Changsha, China
- Molecular Imaging Research Center of Central South University, Changsha, China
| | - Xiangjian Luo
- Key Laboratory of Carcinogenesis and Cancer Invasion of Chinese Ministry of Education, XiangYa Hospital, Central South University, Changsha, China
- Key Laboratory of Carcinogenesis of National Health Commission, Cancer Research Institute and School of Basic Medical Science, Xiangya School of Medicine, Central South University, Changsha, China
- Department of Radiology, National Clinical Research Center for Geriatric Disorders/XiangYa Hospital, Central South University, Changsha, China
- Molecular Imaging Research Center of Central South University, Changsha, China
| | - Jing Xu
- Department of Otolaryngology Head and Neck Surgery, National Clinical Research Center for Geriatric Disorders/XiangYa Hospital, Central South University, Changsha, China
| | - Jia Fan
- Key Laboratory of Carcinogenesis and Cancer Invasion of Chinese Ministry of Education, Zhongshan Hospital, Shanghai Medical School, Fudan University, Shanghai, China
| | - Jian Zhou
- Key Laboratory of Carcinogenesis and Cancer Invasion of Chinese Ministry of Education, Zhongshan Hospital, Shanghai Medical School, Fudan University, Shanghai, China
| | - Qiang Gao
- Key Laboratory of Carcinogenesis and Cancer Invasion of Chinese Ministry of Education, Zhongshan Hospital, Shanghai Medical School, Fudan University, Shanghai, China
| | - Weizhong Wu
- Key Laboratory of Carcinogenesis and Cancer Invasion of Chinese Ministry of Education, Zhongshan Hospital, Shanghai Medical School, Fudan University, Shanghai, China
| | - Weihua Jia
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Hailin Wang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
| | - Ya Cao
- Key Laboratory of Carcinogenesis and Cancer Invasion of Chinese Ministry of Education, XiangYa Hospital, Central South University, Changsha, China
- Key Laboratory of Carcinogenesis of National Health Commission, Cancer Research Institute and School of Basic Medical Science, Xiangya School of Medicine, Central South University, Changsha, China
- Department of Radiology, National Clinical Research Center for Geriatric Disorders/XiangYa Hospital, Central South University, Changsha, China
- Molecular Imaging Research Center of Central South University, Changsha, China
- Research Center for Technologies of Nucleic Acid-Based Diagnostics and Therapeutics Hunan Province, Changsha, China
- National Joint Engineering Research Center for Genetic Diagnostics of Infectious Diseases and Cancer, Changsha, China
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3
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Ambrosini G, Cordani M, Zarrabi A, Alcon-Rodriguez S, Sainz RM, Velasco G, Gonzalez-Menendez P, Dando I. Transcending frontiers in prostate cancer: the role of oncometabolites on epigenetic regulation, CSCs, and tumor microenvironment to identify new therapeutic strategies. Cell Commun Signal 2024; 22:36. [PMID: 38216942 PMCID: PMC10790277 DOI: 10.1186/s12964-023-01462-0] [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: 10/05/2023] [Accepted: 12/27/2023] [Indexed: 01/14/2024] Open
Abstract
Prostate cancer, as one of the most prevalent malignancies in males, exhibits an approximate 5-year survival rate of 95% in advanced stages. A myriad of molecular events and mutations, including the accumulation of oncometabolites, underpin the genesis and progression of this cancer type. Despite growing research demonstrating the pivotal role of oncometabolites in supporting various cancers, including prostate cancer, the root causes of their accumulation, especially in the absence of enzymatic mutations, remain elusive. Consequently, identifying a tangible therapeutic target poses a formidable challenge. In this review, we aim to delve deeper into the implications of oncometabolite accumulation in prostate cancer. We center our focus on the consequential epigenetic alterations and impacts on cancer stem cells, with the ultimate goal of outlining novel therapeutic strategies.
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Affiliation(s)
- Giulia Ambrosini
- Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, 37134, Verona, Italy
| | - Marco Cordani
- Department of Biochemistry and Molecular Biology, Faculty of Biology, Complutense University, 28040, Madrid, Spain.
- Instituto de Investigaciones Sanitarias San Carlos (IdISSC), 28040, Madrid, Spain.
| | - Ali Zarrabi
- Department of Biomedical Engineering, Faculty of Engineering & Natural Sciences, Istinye University, Istanbul, 34396, Turkey
- Department of Research Analytics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, 600 077, India
| | - Sergio Alcon-Rodriguez
- Departamento de Morfología y Biología Celular, School of Medicine, Julián Claveria 6, 33006, Oviedo, Spain
- Instituto Universitario de Oncología del Principado de Asturias (IUOPA), University of Oviedo, 33006, Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Hospital Universitario Central de Asturias (HUCA), 33011, Oviedo, Spain
| | - Rosa M Sainz
- Departamento de Morfología y Biología Celular, School of Medicine, Julián Claveria 6, 33006, Oviedo, Spain
- Instituto Universitario de Oncología del Principado de Asturias (IUOPA), University of Oviedo, 33006, Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Hospital Universitario Central de Asturias (HUCA), 33011, Oviedo, Spain
| | - Guillermo Velasco
- Department of Biochemistry and Molecular Biology, Faculty of Biology, Complutense University, 28040, Madrid, Spain
- Instituto de Investigaciones Sanitarias San Carlos (IdISSC), 28040, Madrid, Spain
| | - Pedro Gonzalez-Menendez
- Departamento de Morfología y Biología Celular, School of Medicine, Julián Claveria 6, 33006, Oviedo, Spain.
- Instituto Universitario de Oncología del Principado de Asturias (IUOPA), University of Oviedo, 33006, Oviedo, Spain.
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Hospital Universitario Central de Asturias (HUCA), 33011, Oviedo, Spain.
| | - Ilaria Dando
- Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, 37134, Verona, Italy.
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4
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Zhu J, Cai H, Xu C, Wang W, Song X, Li B, Shen Y, Dong X. Acidity-Responsive Nanoreactors Destructed "Warburg Effect" for Toxic-Acidosis and Starvation Synergistic Therapy. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2023; 19:e2304058. [PMID: 37475522 DOI: 10.1002/smll.202304058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Indexed: 07/22/2023]
Abstract
"Warburg Effect" shows that most tumor cells rely on aerobic glycolysis for energy supply, leading to malignant energy deprivation and an "internal alkaline external acid" tumor microenvironment. Destructing the "Warburg Effect" is an effective approach to inhibit tumor progression. Herein, an acidity-responsive nanoreactor (Au@CaP-Flu@HA) is fabricated for toxic acidosis and starvation synergistic therapy. In the nanoreactor, the fluvastatin (Flu) could reduce lactate efflux by inhibiting the lactate-proton transporter (monocarboxylate transporters, MCT4), resulting in intracellular lactate accumulation. Meanwhile, the glucose oxidase-mimic Au-nanocomposite consumes glucose to induce cell starvation accompanied by gluconic acid production, coupling with lactate to exacerbate toxic acidosis. Also, the up-regulated autophagic energy supply of tumor cells under energy deprivation and hypoxia aggravation is blocked by autophagy inhibitor CaP. Cellular dysfunction under pHi acidification and impaired Adenosine Triphosphate (ATP) synthesis under starvation synergistically promote tumor cell apoptosis. Both in vitro and in vivo studies demonstrate that this combinational approach of toxic-acidosis/starvation therapy could effectively destruct the "Warburg Effect" to inhibit tumor growth and anti-metastatic effects.
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Affiliation(s)
- Jiawei Zhu
- Key Laboratory of Flexible Electronics (KLOFE) and Institute of Advanced Materials (IAM), School of Physical and Mathematical Sciences, Nanjing Tech University (NanjingTech), Nanjing, 211816, China
| | - Hao Cai
- Key Laboratory of Flexible Electronics (KLOFE) and Institute of Advanced Materials (IAM), School of Physical and Mathematical Sciences, Nanjing Tech University (NanjingTech), Nanjing, 211816, China
| | - Chengshuang Xu
- Key Laboratory of Flexible Electronics (KLOFE) and Institute of Advanced Materials (IAM), School of Physical and Mathematical Sciences, Nanjing Tech University (NanjingTech), Nanjing, 211816, China
| | - Wenjun Wang
- School of Physical Science and Information Technology, Liaocheng University, Liaocheng, 252059, China
| | - Xuejiao Song
- Key Laboratory of Flexible Electronics (KLOFE) and Institute of Advanced Materials (IAM), School of Physical and Mathematical Sciences, Nanjing Tech University (NanjingTech), Nanjing, 211816, China
| | - Buhong Li
- MOE Key Laboratory of OptoElectronic Science and Technology for Medicine, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, 350117, China
| | - Yi Shen
- MOE Key Laboratory of OptoElectronic Science and Technology for Medicine, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, 350117, China
| | - Xiaochen Dong
- Key Laboratory of Flexible Electronics (KLOFE) and Institute of Advanced Materials (IAM), School of Physical and Mathematical Sciences, Nanjing Tech University (NanjingTech), Nanjing, 211816, China
- School of Chemistry and Materials Science, Jiangsu Normal University, Xuzhou, 221116, China
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5
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Masui K, Mischel PS. Metabolic and epigenetic reprogramming in the pathogenesis of glioblastoma: Toward the establishment of "metabolism-based pathology". Pathol Int 2023; 73:533-541. [PMID: 37755062 DOI: 10.1111/pin.13379] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 09/03/2023] [Indexed: 09/28/2023]
Abstract
Molecular genetic approaches are now mandatory for cancer diagnostics, especially for brain tumors. Genotype-based diagnosis has predominated over the phenotype-based approach, with its prognostic and predictive powers. However, comprehensive genetic testing would be difficult to perform in the clinical setting, and translational research is required to histologically decipher the peculiar biology of cancer. Of interest, recent studies have demonstrated discrete links between oncogenotypes and the resultant metabolic phenotypes, revealing cancer metabolism as a promising histologic surrogate to reveal specific characteristics of each cancer type and indicate the best way to manage cancer patients. Here, we provide an overview of our research progress to work on cancer metabolism, with a particular focus on the genomically well-characterized malignant tumor glioblastoma. With the use of clinically relevant animal models and human tissue, we found that metabolic reprogramming plays a major role in the aggressive cancer biology by conferring therapeutic resistance to cancer cells and rewiring their epigenomic landscapes. We further discuss our future endeavor to establish "metabolism-based pathology" on how the basic knowledge of cancer metabolism could be leveraged to improve the management of patients by linking cancer cell genotype, epigenotype, and phenotype through metabolic reprogramming.
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Affiliation(s)
- Kenta Masui
- Department of Pathology, Tokyo Women's Medical University, Shinjuku, Tokyo, Japan
| | - Paul S Mischel
- Department of Pathology, Stanford University, Stanford, California, USA
- Department of Neurosurgery, Stanford University, Stanford, California, USA
- Sarafan ChEM-H, Stanford University, Stanford, California, USA
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6
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Liu S, Li Y, Yuan M, Song Q, Liu M. Correlation between the Warburg effect and progression of triple-negative breast cancer. Front Oncol 2023; 12:1060495. [PMID: 36776368 PMCID: PMC9913723 DOI: 10.3389/fonc.2022.1060495] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 12/06/2022] [Indexed: 01/28/2023] Open
Abstract
Triple-negative breast cancer (TNBC) is ineligible for hormonal therapy and Her-2-targeted therapy due to the negative expression of the estrogen receptor, progesterone receptor, and human epidermal growth factor receptor-2. Although targeted therapy and immunotherapy have been shown to attenuate the aggressiveness of TNBC partially, few patients have benefited from them. The conventional treatment for TNBC remains chemotherapy. Chemoresistance, however, impedes therapeutic progress over time, and chemotherapy toxicity increases the burden of cancer on patients. Therefore, introducing more advantageous TNBC treatment options is a necessity. Metabolic reprogramming centered on glucose metabolism is considered a hallmark of tumors. It is described as tumor cells tend to convert glucose to lactate even under normoxic conditions, a phenomenon known as the Warburg effect. Similar to Darwinian evolution, its emergence is attributed to the selective pressures formed by the hypoxic microenvironment of pre-malignant lesions. Of note, the Warburg effect does not disappear with changes in the microenvironment after the formation of malignant tumor phenotypes. Instead, it forms a constitutive expression mediated by mutations or epigenetic modifications, providing a robust selective survival advantage for primary and metastatic lesions. Expanding evidence has demonstrated that the Warburg effect mediates multiple invasive behaviors in TNBC, including proliferation, metastasis, recurrence, immune escape, and multidrug resistance. Moreover, the Warburg effect-targeted therapy has been testified to be feasible in inhibiting TNBC progression. However, not all TNBCs are sensitive to glycolysis inhibitors because TNBC cells flexibly switch their metabolic patterns to cope with different survival pressures, namely metabolic plasticity. Between the Warburg effect-targeted medicines and the actual curative effect, metabolic plasticity creates a divide that must be continuously researched and bridged.
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Affiliation(s)
| | | | | | - Qing Song
- *Correspondence: Min Liu, ; Qing Song,
| | - Min Liu
- *Correspondence: Min Liu, ; Qing Song,
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7
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Mittal A, Mohanty SK, Gautam V, Arora S, Saproo S, Gupta R, Sivakumar R, Garg P, Aggarwal A, Raghavachary P, Dixit NK, Singh VP, Mehta A, Tayal J, Naidu S, Sengupta D, Ahuja G. Artificial intelligence uncovers carcinogenic human metabolites. Nat Chem Biol 2022; 18:1204-1213. [PMID: 35953549 DOI: 10.1038/s41589-022-01110-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 07/07/2022] [Indexed: 12/14/2022]
Abstract
The genome of a eukaryotic cell is often vulnerable to both intrinsic and extrinsic threats owing to its constant exposure to a myriad of heterogeneous compounds. Despite the availability of innate DNA damage responses, some genomic lesions trigger malignant transformation of cells. Accurate prediction of carcinogens is an ever-challenging task owing to the limited information about bona fide (non-)carcinogens. We developed Metabokiller, an ensemble classifier that accurately recognizes carcinogens by quantitatively assessing their electrophilicity, their potential to induce proliferation, oxidative stress, genomic instability, epigenome alterations, and anti-apoptotic response. Concomitant with the carcinogenicity prediction, Metabokiller is fully interpretable and outperforms existing best-practice methods for carcinogenicity prediction. Metabokiller unraveled potential carcinogenic human metabolites. To cross-validate Metabokiller predictions, we performed multiple functional assays using Saccharomyces cerevisiae and human cells with two Metabokiller-flagged human metabolites, namely 4-nitrocatechol and 3,4-dihydroxyphenylacetic acid, and observed high synergy between Metabokiller predictions and experimental validations.
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Affiliation(s)
- Aayushi Mittal
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi, Okhla, Phase III, New Delhi, Delhi, India
| | - Sanjay Kumar Mohanty
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi, Okhla, Phase III, New Delhi, Delhi, India
| | - Vishakha Gautam
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi, Okhla, Phase III, New Delhi, Delhi, India
| | - Sakshi Arora
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi, Okhla, Phase III, New Delhi, Delhi, India
| | - Sheetanshu Saproo
- Department of Bio-Medical Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, India
| | - Ria Gupta
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi, Okhla, Phase III, New Delhi, Delhi, India
| | - Roshan Sivakumar
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi, Okhla, Phase III, New Delhi, Delhi, India
| | - Prakriti Garg
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi, Okhla, Phase III, New Delhi, Delhi, India
| | - Anmol Aggarwal
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi, Okhla, Phase III, New Delhi, Delhi, India
| | - Padmasini Raghavachary
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi, Okhla, Phase III, New Delhi, Delhi, India
| | - Nilesh Kumar Dixit
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi, Okhla, Phase III, New Delhi, Delhi, India
| | - Vijay Pal Singh
- CSIR-Institute of Genomics & Integrative Biology, New Delhi, Delhi, India
| | - Anurag Mehta
- Rajiv Gandhi Cancer Institute & Research Centre, New Delhi, Delhi, India
| | - Juhi Tayal
- Rajiv Gandhi Cancer Institute & Research Centre, New Delhi, Delhi, India
| | - Srivatsava Naidu
- Department of Bio-Medical Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, India
| | - Debarka Sengupta
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi, Okhla, Phase III, New Delhi, Delhi, India.
| | - Gaurav Ahuja
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi, Okhla, Phase III, New Delhi, Delhi, India.
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8
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Masui K, Cavenee WK, Mischel PS, Shibata N. The metabolomic landscape plays a critical role in glioma oncogenesis. Cancer Sci 2022; 113:1555-1563. [PMID: 35271755 PMCID: PMC9128185 DOI: 10.1111/cas.15325] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 02/24/2022] [Accepted: 03/04/2022] [Indexed: 12/01/2022] Open
Abstract
Cancer cells depend on metabolic reprogramming for survival, undergoing profound shifts in nutrient sensing, nutrient uptake and flux through anabolic pathways, in order to drive nucleotide, lipid, and protein synthesis and provide key intermediates needed for those pathways. Although metabolic enzymes themselves can be mutated, including to generate oncometabolites, this is a relatively rare event in cancer. Usually, gene amplification, overexpression, and/or downstream signal transduction upregulate rate‐limiting metabolic enzymes and limit feedback loops, to drive persistent tumor growth. Recent molecular‐genetic advances have revealed discrete links between oncogenotypes and the resultant metabolic phenotypes. However, more comprehensive approaches are needed to unravel the dynamic spatio‐temporal regulatory map of enzymes and metabolites that enable cancer cells to adapt to their microenvironment to maximize tumor growth. Proteomic and metabolomic analyses are powerful tools for analyzing a repertoire of metabolic enzymes as well as intermediary metabolites, and in conjunction with other omics approaches could provide critical information in this regard. Here, we provide an overview of cancer metabolism, especially from an omics perspective and with a particular focus on the genomically well characterized malignant brain tumor, glioblastoma. We further discuss how metabolomics could be leveraged to improve the management of patients, by linking cancer cell genotype, epigenotype, and phenotype through metabolic reprogramming.
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Affiliation(s)
- Kenta Masui
- Department of Pathology, Tokyo Women's Medical University, Shinjuku, Tokyo, 162-8666, Japan
| | - Webster K Cavenee
- Ludwig Institute for Cancer Research, University of California San Diego, La Jolla, CA, 92093, USA
| | - Paul S Mischel
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, 94305, USA.,ChEM-H, Stanford University, Stanford, CA, 94305, USA
| | - Noriyuki Shibata
- Department of Pathology, Tokyo Women's Medical University, Shinjuku, Tokyo, 162-8666, Japan
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9
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Godel M, Ortone G, Anobile DP, Pasino M, Randazzo G, Riganti C, Kopecka J. Targeting Mitochondrial Oncometabolites: A New Approach to Overcome Drug Resistance in Cancer. Pharmaceutics 2021; 13:762. [PMID: 34065551 PMCID: PMC8161136 DOI: 10.3390/pharmaceutics13050762] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 05/17/2021] [Accepted: 05/18/2021] [Indexed: 12/28/2022] Open
Abstract
Drug resistance is the main obstacle for a successful cancer therapy. There are many mechanisms by which cancers avoid drug-mediated death, including alterations in cellular metabolism and apoptotic programs. Mitochondria represent the cell's powerhouse and the connection between carbohydrate, lipid and proteins metabolism, as well as crucial controllers of apoptosis, playing an important role not only in tumor growth and progression, but also in drug response. Alterations in tricarboxylic acid cycle (TCA) caused by mutations in three TCA enzymes-isocitrate dehydrogenase, succinate dehydrogenase and fumarate hydratase-lead to the accumulation of 2-hydroxyglutarate, succinate and fumarate respectively, collectively known as oncometabolites. Oncometabolites have pleiotropic effects on cancer biology. For instance, they generate a pseudohypoxic phenotype and induce epigenetic changes, two factors that may promote cancer drug resistance leading to disease progression and poor therapy outcome. This review sums up the most recent findings about the role of TCA-derived oncometabolites in cancer aggressiveness and drug resistance, highlighting possible pharmacological strategies targeting oncometabolites production in order to improve the efficacy of cancer treatment.
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10
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Terra X, Ceperuelo-Mallafré V, Merma C, Benaiges E, Bosch R, Castillo P, Flores JC, León X, Valduvieco I, Basté N, Cámara M, Lejeune M, Gumà J, Vendrell J, Vilaseca I, Fernández-Veledo S, Avilés-Jurado FX. Succinate Pathway in Head and Neck Squamous Cell Carcinoma: Potential as a Diagnostic and Prognostic Marker. Cancers (Basel) 2021; 13:cancers13071653. [PMID: 33916314 PMCID: PMC8037494 DOI: 10.3390/cancers13071653] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 03/23/2021] [Accepted: 03/24/2021] [Indexed: 12/14/2022] Open
Abstract
Simple Summary Emerging evidence points to succinate as an important oncometabolite in cancer development; however, the contribution of the succinate-SUCNR1 axis to cancer progression remains unclear. Head and neck squamous cell carcinoma (HNSCC) is associated with disease and treatment-related morbidity so there is an urgent need for innovation in treatment and diagnosis practices. Our aim was to evaluate the potential of the succinate-related pathway as a diagnostic and prognostic biomarker in HNSCC. The circulating succinate levels are increased in HNSCC, being a potential noninvasive biomarker for HNSCC diagnosis. Moreover, the succinate receptor (SUCNR1) and genes related to succinate metabolism, which are predominantly expressed in the tumoral mucosa as compared with healthy tissue, are positively associated with plasma succinate. Remarkably, we found that SUCNR1 and SDHA expression levels predict prognosis. Abstract Head and neck squamous cell carcinoma (HNSCC) is characterized by high rates of mortality and treatment-related morbidity, underscoring the urgent need for innovative and safe treatment strategies and diagnosis practices. Mitochondrial dysfunction is a hallmark of cancer and can lead to the accumulation of tricarboxylic acid cycle intermediates, such as succinate, which function as oncometabolites. In addition to its role in cancer development through epigenetic events, succinate is an extracellular signal transducer that modulates immune response, angiogenesis and cell invasion by activating its cognate receptor SUCNR1. Here, we explored the potential value of the circulating succinate and related genes in HNSCC diagnosis and prognosis. We determined the succinate levels in the serum of 66 pathologically confirmed, untreated patients with HNSCC and 20 healthy controls. We also surveyed the expression of the genes related to succinate metabolism and signaling in tumoral and nontumoral adjacent tissue and in normal mucosa from 50 patients. Finally, we performed immunohistochemical analysis of SUCNR1 in mucosal samples. The results showed that the circulating levels of succinate were higher in patients with HNSCC than in the healthy controls. Additionally, the expression of SUCNR1, HIF-1α, succinate dehydrogenase (SDH) A, and SDHB was higher in the tumor tissue than in the matched normal mucosa. Consistent with this, immunohistochemical analysis revealed an increase in SUCNR1 protein expression in tumoral and nontumoral adjacent tissue. High SUCNR1 and SDHA expression levels were associated with poor locoregional control, and the locoregional recurrence-free survival rate was significantly lower in patients with high SUCNR1 and SDHA expression than in their peers with lower levels (77.1% [95% CI: 48.9–100.0] vs. 16.7% [95% CI: 0.0–44.4], p = 0.018). Thus, the circulating succinate levels are elevated in HNSCC and high SUCNR1/SDHA expression predicts poor locoregional disease-free survival, identifying this oncometabolite as a potentially valuable noninvasive biomarker for HNSCC diagnosis and prognosis.
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Affiliation(s)
- Ximena Terra
- MoBioFood Research Group, Biochemistry and Biotechnology Department, Universitat Rovira i Virgili, Campus Sescel·lades, 43007 Tarragona, Spain;
| | - Victoria Ceperuelo-Mallafré
- Department of Endocrinology and Nutrition, Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari de Tarragona Joan XXIII, 43005 Tarragona, Spain; (V.C.-M.); (E.B.); (J.V.)
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas (CIBERDEM), 28029 Madrid, Spain
| | - Carla Merma
- Otorhinolaryngology Head-Neck Surgery Department, Hospital Universitari de Tarragona Joan XXIII, Insitut d’Investigació Sanitària Pere Virgili, Universitat Rovira i Virgili, 43005 Tarragona, Spain; (C.M.); (J.C.F.)
| | - Ester Benaiges
- Department of Endocrinology and Nutrition, Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari de Tarragona Joan XXIII, 43005 Tarragona, Spain; (V.C.-M.); (E.B.); (J.V.)
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas (CIBERDEM), 28029 Madrid, Spain
- School of Medicine, Universitat Rovira i Virgili, 43201 Reus, Spain
| | - Ramon Bosch
- Pathology Department, Plataforma de Estudios Histológicos, Citológicos y de Digitalización, Hospital de Tortosa Verge de la Cinta, Institut d’Investigació Sanitària Pere Virgili (IISPV), URV, 43500 Tortosa, Spain; (R.B.); (M.L.)
| | - Paola Castillo
- Pathology Department, Hospital Clínic de Barcelona, IDIBAPS, 08036 Barcelona, Spain;
| | - Joan Carles Flores
- Otorhinolaryngology Head-Neck Surgery Department, Hospital Universitari de Tarragona Joan XXIII, Insitut d’Investigació Sanitària Pere Virgili, Universitat Rovira i Virgili, 43005 Tarragona, Spain; (C.M.); (J.C.F.)
| | - Xavier León
- Otorhinolaryngology Head-Neck Surgery Department, Hospital de la Santa Creu i Sant Pau and Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN, MICINN, ISCIII), Universitat Autònoma de Barcelona, 08041 Barcelona, Spain;
| | - Izaskun Valduvieco
- Radiation Oncology Department, Hospital Clínic de Barcelona, 08036 Barcelona, Spain;
| | - Neus Basté
- Oncology Department, IDIBAPS, Hospital Clínic de Barcelona, 08036 Barcelona, Spain;
| | - Marina Cámara
- Maxillofacial Department, Hospital Clínic de Barcelona, 08036 Barcelona, Spain;
| | - Marylène Lejeune
- Pathology Department, Plataforma de Estudios Histológicos, Citológicos y de Digitalización, Hospital de Tortosa Verge de la Cinta, Institut d’Investigació Sanitària Pere Virgili (IISPV), URV, 43500 Tortosa, Spain; (R.B.); (M.L.)
| | - Josep Gumà
- Oncology Department, Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Sant Joan de Reus, 43204 Reus, Spain;
| | - Joan Vendrell
- Department of Endocrinology and Nutrition, Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari de Tarragona Joan XXIII, 43005 Tarragona, Spain; (V.C.-M.); (E.B.); (J.V.)
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas (CIBERDEM), 28029 Madrid, Spain
- School of Medicine, Universitat Rovira i Virgili, 43201 Reus, Spain
| | - Isabel Vilaseca
- Otorhinolaryngology Department, UB, IDIBAPS, Hospital Clínic de Barcelona, 08036 Barcelona, Spain;
- Head Neck Clínic, Agència de Gestió d’Ajuts Universitaris i de Recerca (AGAUR), 2017-SGR-01581 Barcelona, Spain
| | - Sonia Fernández-Veledo
- Department of Endocrinology and Nutrition, Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari de Tarragona Joan XXIII, 43005 Tarragona, Spain; (V.C.-M.); (E.B.); (J.V.)
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas (CIBERDEM), 28029 Madrid, Spain
- Correspondence: (S.F.-V.); (F.X.A.-J.)
| | - Francesc Xavier Avilés-Jurado
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas (CIBERDEM), 28029 Madrid, Spain
- Otorhinolaryngology Department, UB, IDIBAPS, Hospital Clínic de Barcelona, 08036 Barcelona, Spain;
- Head Neck Clínic, Agència de Gestió d’Ajuts Universitaris i de Recerca (AGAUR), 2017-SGR-01581 Barcelona, Spain
- Correspondence: (S.F.-V.); (F.X.A.-J.)
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11
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Sniegowski T, Korac K, Bhutia YD, Ganapathy V. SLC6A14 and SLC38A5 Drive the Glutaminolysis and Serine-Glycine-One-Carbon Pathways in Cancer. Pharmaceuticals (Basel) 2021; 14:ph14030216. [PMID: 33806675 PMCID: PMC8000594 DOI: 10.3390/ph14030216] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 02/24/2021] [Accepted: 02/25/2021] [Indexed: 02/06/2023] Open
Abstract
The glutaminolysis and serine–glycine–one-carbon pathways represent metabolic reactions that are reprogramed and upregulated in cancer; these pathways are involved in supporting the growth and proliferation of cancer cells. Glutaminolysis participates in the production of lactate, an oncometabolite, and also in anabolic reactions leading to the synthesis of fatty acids and cholesterol. The serine–glycine–one-carbon pathway is involved in the synthesis of purines and pyrimidines and the control of the epigenetic signature (DNA methylation, histone methylation) in cancer cells. Methionine is obligatory for most of the methyl-transfer reactions in the form of S-adenosylmethionine; here, too, the serine–glycine–one-carbon pathway is necessary for the resynthesis of methionine following the methyl-transfer reaction. Glutamine, serine, glycine, and methionine are obligatory to fuel these metabolic pathways. The first three amino acids can be synthesized endogenously to some extent, but the need for these amino acids in cancer cells is so high that they also have to be acquired from extracellular sources. Methionine is an essential amino acid, thus making it necessary for cancer cells to acquire this amino acid solely from the extracellular milieu. Cancer cells upregulate specific amino acid transporters to meet this increased demand for these four amino acids. SLC6A14 and SLC38A5 are the two transporters that are upregulated in a variety of cancers to mediate the influx of glutamine, serine, glycine, and methionine into cancer cells. SLC6A14 is a Na+/Cl− -coupled transporter for multiple amino acids, including these four amino acids. In contrast, SLC38A5 is a Na+-coupled transporter with rather restricted specificity towards glutamine, serine, glycine, and methionine. Both transporters exhibit unique functional features that are ideal for the rapid proliferation of cancer cells. As such, these two amino acid transporters play a critical role in promoting the survival and growth of cancer cells and hence represent novel, hitherto largely unexplored, targets for cancer therapy.
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12
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Sanchez-Martin C, Menon D, Moroni E, Ferraro M, Masgras I, Elsey J, Arbiser JL, Colombo G, Rasola A. Honokiol Bis-Dichloroacetate Is a Selective Allosteric Inhibitor of the Mitochondrial Chaperone TRAP1. Antioxid Redox Signal 2021; 34:505-516. [PMID: 32438819 PMCID: PMC8020504 DOI: 10.1089/ars.2019.7972] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Aims: TNF receptor-associated protein 1 (TRAP1), the mitochondrial paralog of the heat shock protein 90 (Hsp90) family of molecular chaperones, is required for neoplastic growth in several tumor cell models, where it inhibits succinate dehydrogenase (SDH) activity, thus favoring bioenergetic rewiring, maintenance of redox homeostasis, and orchestration of a hypoxia-inducible factor 1-alpha (HIF1α)-mediated pseudohypoxic program. Development of selective TRAP1 inhibitors is instrumental for targeted development of antineoplastic drugs, but it has been hampered up to now by the high degree of homology among catalytic pockets of Hsp90 family members. The vegetal derivative honokiol and its lipophilic bis-dichloroacetate ester, honokiol DCA (HDCA), are small-molecule compounds with antineoplastic activity. HDCA leads to oxidative stress and apoptosis in in vivo tumor models and displays an action that is functionally opposed to that of TRAP1, as it induces both SDH and the mitochondrial deacetylase sirtuin-3 (SIRT3), which further enhances SDH activity. We investigated whether HDCA could interact with TRAP1, inhibiting its chaperone function, and the effects of HDCA on tumor cells harboring TRAP1. Results: An allosteric binding site in TRAP1 is able to host HDCA, which inhibits TRAP1 but not Hsp90 ATPase activity. In neoplastic cells, HDCA reverts TRAP1-dependent downregulation of SDH, decreases proliferation rate, increases mitochondrial superoxide levels, and abolishes tumorigenic growth. Innovation: HDCA is a potential lead compound for the generation of antineoplastic approaches based on the allosteric inhibition of TRAP1 chaperone activity. Conclusions: We have identified a selective TRAP1 inhibitor that can be used to better dissect TRAP1 biochemical functions and to tailor novel tumor-targeting strategies.
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Affiliation(s)
| | - Daniela Menon
- Dipartimento di Scienze Biomediche, Università di Padova, Padova, Italy
| | - Elisabetta Moroni
- Istituto di Chimica del Riconoscimento Molecolare, CNR, Milano, Italy
| | | | - Ionica Masgras
- Dipartimento di Scienze Biomediche, Università di Padova, Padova, Italy.,Istituto di Neuroscienze, CNR, Padova, Italy
| | - Justin Elsey
- Atlanta Veterans Administration Medical Center, Decatur, Georgia, USA.,Department of Dermatology, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Jack L Arbiser
- Atlanta Veterans Administration Medical Center, Decatur, Georgia, USA.,Department of Dermatology, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Giorgio Colombo
- Istituto di Chimica del Riconoscimento Molecolare, CNR, Milano, Italy.,Dipartimento di Chimica, Università di Pavia, Pavia, Italy
| | - Andrea Rasola
- Dipartimento di Scienze Biomediche, Università di Padova, Padova, Italy
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13
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L-type amino acid transporter 1 is associated with chemoresistance in breast cancer via the promotion of amino acid metabolism. Sci Rep 2021; 11:589. [PMID: 33436954 PMCID: PMC7803739 DOI: 10.1038/s41598-020-80668-5] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2020] [Accepted: 12/18/2020] [Indexed: 12/13/2022] Open
Abstract
18F-FDG PET/CT has been used as an indicator of chemotherapy effects, but cancer cells can remain even when no FDG uptake is detected, indicating the importance of exploring other metabolomic pathways. Therefore, we explored the amino acid metabolism, including L-type amino acid transporter-1 (LAT1), in breast cancer tissues and clarified the role of LAT1 in therapeutic resistance and clinical outcomes of patients. We evaluated LAT1 expression before and after neoadjuvant chemotherapy and examined the correlation of glucose uptake using FDG-PET with the pathological response of patients. It revealed that LAT1 levels correlated with proliferation after chemotherapy, and amino acid and glucose metabolism were closely correlated. In addition, LAT1 was considered to be involved in treatment resistance and sensitivity only in luminal type breast cancer. Results of in vitro analyses revealed that LAT1 promoted amino acid uptake, which contributed to energy production by supplying amino acids to the TCA cycle. However, in MCF-7 cells treated with chemotherapeutic agents, oncometabolites and branched-chain amino acids also played a pivotal role in energy production and drug resistance, despite decreased glucose metabolism. In conclusion, LAT1 was involved in drug resistance and could be a novel therapeutic target against chemotherapy resistance in luminal type breast cancer.
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14
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Cancer Alters the Metabolic Fingerprint of Extracellular Vesicles. Cancers (Basel) 2020; 12:cancers12113292. [PMID: 33172086 PMCID: PMC7694806 DOI: 10.3390/cancers12113292] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 11/02/2020] [Accepted: 11/04/2020] [Indexed: 12/16/2022] Open
Abstract
Cancer alters cell metabolism. How these changes are manifested in the metabolite cargo of cancer-derived extracellular vesicles (EVs) remains poorly understood. To explore these changes, EVs from prostate, cutaneous T-cell lymphoma (CTCL), colon cancer cell lines, and control EVs from their noncancerous counterparts were isolated by differential ultracentrifugation and analyzed by nanoparticle tracking analysis (NTA), electron microscopy (EM), Western blotting, and liquid chromatography-mass spectrometry (LC-MS). Although minor differences between the cancerous and non-cancerous cell-derived EVs were observed by NTA and Western blotting, the largest differences were detected in their metabolite cargo. Compared to EVs from noncancerous cells, cancer EVs contained elevated levels of soluble metabolites, e.g., amino acids and B vitamins. Two metabolites, proline and succinate, were elevated in the EV samples of all three cancer types. In addition, folate and creatinine were elevated in the EVs from prostate and CTCL cancer cell lines. In conclusion, we present the first evidence in vitro that the altered metabolism of different cancer cells is reflected in common metabolite changes in their EVs. These results warrant further studies on the significance and usability of this metabolic fingerprint in cancer.
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15
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Abstract
Significance: Cancer cells are stabilized in an undifferentiated state similar to stem cells. This leads to profound modifications of their metabolism, which further modifies their genetics and epigenetics as malignancy progresses. Specific metabolites and enzymes may serve as clinical markers of cancer progression. Recent Advances: Both 2-hydroxyglutarate (2HG) enantiomers are associated with reprogrammed metabolism, in grade III/IV glioma, glioblastoma, and acute myeloid leukemia cells, and numerous other cancer types, while acting also in the cross talk of tumors with immune cells. 2HG contributes to specific alternations in cancer metabolism and developed oxidative stress, while also inducing decisions on the differentiation of naive T lymphocytes, and serves as a signal messenger in immune cells. Moreover, 2HG inhibits chromatin-modifying enzymes, namely 2-oxoglutarate-dependent dioxygenases, and interferes with hypoxia-inducible factor (HIF) transcriptome reprogramming and mammalian target of rapamycin (mTOR) pathway, thus dysregulating gene expression and further promoting cancerogenesis. Critical Issues: Typically, heterozygous mutations within the active sites of isocitrate dehydrogenase isoform 1 (IDH1)R132H and mitochondrial isocitrate dehydrogenase isoform 2 (IDH2)R140Q provide cells with millimolar r-2-hydroxyglutarate (r-2HG) concentrations, whereas side activities of lactate and malate dehydrogenase form submillimolar s-2-hydroxyglutarate (s-2HG). However, even wild-type IDH1 and IDH2, notably under shifts toward reductive carboxylation glutaminolysis or changes in other enzymes, lead to "intermediate" 0.01-0.1 mM 2HG levels, for example, in breast carcinoma compared with 10-8M in noncancer cells. Future Directions: Uncovering further molecular metabolism details specific for given cancer cell types and sequence-specific epigenetic alternations will lead to the design of diagnostic approaches, not only for predicting patients' prognosis or uncovering metastases and tumor remissions but also for early diagnostics.
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Affiliation(s)
- Petr Ježek
- Department of Mitochondrial Physiology, Institute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic
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16
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Medina MÁ. Metabolic Reprogramming is a Hallmark of Metabolism Itself. Bioessays 2020; 42:e2000058. [PMID: 32939776 DOI: 10.1002/bies.202000058] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 07/13/2020] [Indexed: 12/16/2022]
Abstract
The reprogramming of metabolism has been identified as one of the hallmarks of cancer. It is becoming more and more frequent to connect other diseases with metabolic reprogramming. This article aims to argue that metabolic reprogramming is not driven by disease but instead is the main hallmark of metabolism, based on its dynamic behavior that allows it to continuously adapt to changes in the internal and external conditions.
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Affiliation(s)
- Miguel Ángel Medina
- Andalucía Tech, Facultad de Ciencias, Departamento de Biología Molecular y Bioquímica, and IBIMA (Biomedical Research Institute of Málaga), Universidad de Málaga, Málaga, E-29071, Spain.,CIBER de Enfermedades Raras (CIBERER), Málaga, E-29071, Spain
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17
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Xiang K, Jendrossek V, Matschke J. Oncometabolites and the response to radiotherapy. Radiat Oncol 2020; 15:197. [PMID: 32799884 PMCID: PMC7429799 DOI: 10.1186/s13014-020-01638-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Accepted: 08/06/2020] [Indexed: 12/18/2022] Open
Abstract
Radiotherapy (RT) is applied in 45-60% of all cancer patients either alone or in multimodal therapy concepts comprising surgery, RT and chemotherapy. However, despite technical innovations approximately only 50% are cured, highlight a high medical need for innovation in RT practice. RT is a multidisciplinary treatment involving medicine and physics, but has always been successful in integrating emerging novel concepts from cancer and radiation biology for improving therapy outcome. Currently, substantial improvements are expected from integration of precision medicine approaches into RT concepts.Altered metabolism is an important feature of cancer cells and a driving force for malignant progression. Proper metabolic processes are essential to maintain and drive all energy-demanding cellular processes, e.g. repair of DNA double-strand breaks (DSBs). Consequently, metabolic bottlenecks might allow therapeutic intervention in cancer patients.Increasing evidence now indicates that oncogenic activation of metabolic enzymes, oncogenic activities of mutated metabolic enzymes, or adverse conditions in the tumor microenvironment can result in abnormal production of metabolites promoting cancer progression, e.g. 2-hyroxyglutarate (2-HG), succinate and fumarate, respectively. Interestingly, these so-called "oncometabolites" not only modulate cell signaling but also impact the response of cancer cells to chemotherapy and RT, presumably by epigenetic modulation of DNA repair.Here we aimed to introduce the biological basis of oncometabolite production and of their actions on epigenetic regulation of DNA repair. Furthermore, the review will highlight innovative therapeutic opportunities arising from the interaction of oncometabolites with DNA repair regulation for specifically enhancing the therapeutic effects of genotoxic treatments including RT in cancer patients.
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Affiliation(s)
- Kexu Xiang
- Institute of Cell Biology (Cancer Research), University Hospital Essen, University of Duisburg-Essen, Virchowstrasse 173, 45147, Essen, Germany
| | - Verena Jendrossek
- Institute of Cell Biology (Cancer Research), University Hospital Essen, University of Duisburg-Essen, Virchowstrasse 173, 45147, Essen, Germany
| | - Johann Matschke
- Institute of Cell Biology (Cancer Research), University Hospital Essen, University of Duisburg-Essen, Virchowstrasse 173, 45147, Essen, Germany.
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Viana LR, Lopes-Aguiar L, Rossi Rosolen R, Willians dos Santos R, Cintra Gomes-Marcondes MC. 1H-NMR Based Serum Metabolomics Identifies Different Profile between Sarcopenia and Cancer Cachexia in Ageing Walker 256 Tumour-Bearing Rats. Metabolites 2020; 10:metabo10040161. [PMID: 32326296 PMCID: PMC7240940 DOI: 10.3390/metabo10040161] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Revised: 03/18/2020] [Accepted: 03/25/2020] [Indexed: 12/16/2022] Open
Abstract
Sarcopenia among the older population has been growing over the last few years. In addition, the incidence of cancers increases with age and, consequently, the development of cachexia related cancer. Therefore, the elucidation of the metabolic derangements of sarcopenia and cachexia are important to improve the survival and life quality of cancer patients. We performed the 1H-NMR based serum metabolomics in adult (A) and ageing (S) Walker 256 tumour-bearing rats in different stages of tumour evolution, namely intermediated (Wi) and advanced (Wa). Among 52 serum metabolites that were identified, 21 were significantly increased in S and 14 and 19 decreased in the Wi and Wa groups, respectively. The most impacted pathways by this metabolic alteration were related by amino acid biosynthesis and metabolism, with an upregulation in S group and downregulation in Wi and Wa groups. Taken together, our results suggest that the increase in metabolic profile in ageing rats is associated with the higher muscle protein degradation that releases several metabolites, especially amino acids into the serum. On the other hand, we hypothesise that the majority of metabolites released by muscle catabolism are used by tumours to sustain rapid cell proliferation and tumorigenesis.
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Rodrigues AS, Pereira SL, Ramalho-Santos J. Stem metabolism: Insights from oncometabolism and vice versa. Biochim Biophys Acta Mol Basis Dis 2020; 1866:165760. [PMID: 32151634 DOI: 10.1016/j.bbadis.2020.165760] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Revised: 02/16/2020] [Accepted: 03/04/2020] [Indexed: 02/06/2023]
Abstract
Metabolism, is a transversal hot research topic in different areas, resulting in the integration of cellular needs with external cues, involving a highly coordinated set of activities in which nutrients are converted into building blocks for macromolecules, energy currencies and biomass. Importantly, cells can adjust different metabolic pathways defining its cellular identity. Both cancer cell and embryonic stem cells share the common hallmark of high proliferative ability but while the first represent a huge social-economic burden the second symbolize a huge promise. Importantly, research on both fields points out that stem cells share common metabolic strategies with cancer cells to maintain their identity as well as proliferative capability and, vice versa cancer cells also share common strategies regarding pluripotent markers. Moreover, the Warburg effect can be found in highly proliferative non-cancer stem cells as well as in embryonic stem cells that are primed towards differentiation, while a bivalent metabolism is characteristic of embryonic stem cells that are in a true naïve pluripotent state and cancer stem cells can also range from glycolysis to oxidative phosphorylation. Therefore, this review aims to highlight major metabolic similarities between cancer cells and embryonic stem cells demonstrating that they have similar strategies in both signaling pathways regulation as well as metabolic profiles while focusing on key metabolites.
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Affiliation(s)
- Ana Sofia Rodrigues
- CNC-Center for Neuroscience and Cell Biology, University of Coimbra, Rua Larga, Faculty of Medicine, Pólo I, 3004-504 Coimbra, Portugal.
| | - Sandro L Pereira
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg.
| | - João Ramalho-Santos
- CNC-Center for Neuroscience and Cell Biology, University of Coimbra, Rua Larga, Faculty of Medicine, Pólo I, 3004-504 Coimbra, Portugal; Department of Life Sciences, University of Coimbra, Coimbra, Calçada Martim de Freitas, 3000-456 Coimbra, Portugal.
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Bonifácio VDB. Ovarian Cancer Biomarkers: Moving Forward in Early Detection. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2020; 1219:355-363. [PMID: 32130708 DOI: 10.1007/978-3-030-34025-4_18] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Ovarian cancer is a silent cancer which rate survival mainly relays in early stage detection. The discovery of reliable ovarian cancer biomarkers plays a crucial role in the disease management and strongly impact in patient's prognosis and survival. Although having many limitations CA125 is a classical ovarian cancer biomarker, but current research using proteomic or metabolomic methodologies struggles to find alternative biomarkers, using non-invasive our relatively non-invasive sources such as urine, serum, plasma, tissue, ascites or exosomes. Metabolism and metabolites are key players in cancer biology and its importance in biomarkers discovery cannot be neglected. In this chapter we overview the state of art and the challenges facing the use and discovery of biomarkers and focus on ovarian cancer early detection.
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Affiliation(s)
- Vasco D B Bonifácio
- IBB - Institute for Bioengineering and Biosciences, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal.
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21
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Molecular signatures associated with prostate cancer cell line (PC-3) exposure to inactivated Zika virus. Sci Rep 2019; 9:15351. [PMID: 31653965 PMCID: PMC6814752 DOI: 10.1038/s41598-019-51954-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Accepted: 10/02/2019] [Indexed: 02/07/2023] Open
Abstract
The recent outbreak of Zika virus (ZIKV) infection associated with microcephaly cases has elicited much research on the mechanisms involved in ZIKV-host cell interactions. It has been described that Zika virus impairs cell growth, raising a hypothesis about its oncolytic potential against cancer cells. ZIKV tumor cell growth inhibition was later confirmed for glioblastoma. It was also demonstrated that an inactivated ZIKV prototype (ZVp) based on bacterial outer membrane vesicles has antiproliferative activity upon other cancer cell lines, such as PC-3 prostate cancer cell. This study aims at understanding the pathways that might be involved with the antiproliferative effect of Zika virus against prostate cancer cells. A metabolomic approach based on high-resolution mass spectrometry analysis led to the identification of 21 statistically relevant markers of PC-3 cells treated with ZVp. The markers were associated with metabolic alterations that trigger lipid remodeling, endoplasmic reticulum stress, inflammatory mediators, as well as disrupted porphyrin and folate metabolism. These findings highlight molecular signatures of ZVp-induced response that may be involved on cellular pathways triggered by its antiproliferative effect. To our knowledge, this is the first reported metabolomic assessment of ZIKV effect on prostate cancer cells, a promising topic for further research.
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Crispo F, Condelli V, Lepore S, Notarangelo T, Sgambato A, Esposito F, Maddalena F, Landriscina M. Metabolic Dysregulations and Epigenetics: A Bidirectional Interplay that Drives Tumor Progression. Cells 2019; 8:E798. [PMID: 31366176 PMCID: PMC6721562 DOI: 10.3390/cells8080798] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Revised: 07/24/2019] [Accepted: 07/29/2019] [Indexed: 02/07/2023] Open
Abstract
Cancer has been considered, for a long time, a genetic disease where mutations in keyregulatory genes drive tumor initiation, growth, metastasis, and drug resistance. Instead, theadvent of high-throughput technologies has revolutionized cancer research, allowing to investigatemolecular alterations at multiple levels, including genome, epigenome, transcriptome, proteome,and metabolome and showing the multifaceted aspects of this disease. The multi-omics approachesrevealed an intricate molecular landscape where different cellular functions are interconnected andcooperatively contribute to shaping the malignant phenotype. Recent evidence has brought to lighthow metabolism and epigenetics are highly intertwined, and their aberrant crosstalk can contributeto tumorigenesis. The oncogene-driven metabolic plasticity of tumor cells supports the energeticand anabolic demands of proliferative tumor programs and secondary can alter the epigeneticlandscape via modulating the production and/or the activity of epigenetic metabolites. Conversely,epigenetic mechanisms can regulate the expression of metabolic genes, thereby altering themetabolome, eliciting adaptive responses to rapidly changing environmental conditions, andsustaining malignant cell survival and progression in hostile niches. Thus, cancer cells takeadvantage of the epigenetics-metabolism crosstalk to acquire aggressive traits, promote cellproliferation, metastasis, and pluripotency, and shape tumor microenvironment. Understandingthis bidirectional relationship is crucial to identify potential novel molecular targets for theimplementation of robust anti-cancer therapeutic strategies.
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Affiliation(s)
- Fabiana Crispo
- Laboratory of Pre-Clinical and Translational Research, IRCCS, Referral Cancer Center of Basilicata,85028 Rionero in Vulture, PZ, Italy.
| | - Valentina Condelli
- Laboratory of Pre-Clinical and Translational Research, IRCCS, Referral Cancer Center of Basilicata,85028 Rionero in Vulture, PZ, Italy.
| | - Silvia Lepore
- Laboratory of Pre-Clinical and Translational Research, IRCCS, Referral Cancer Center of Basilicata,85028 Rionero in Vulture, PZ, Italy.
| | - Tiziana Notarangelo
- Laboratory of Pre-Clinical and Translational Research, IRCCS, Referral Cancer Center of Basilicata,85028 Rionero in Vulture, PZ, Italy.
| | - Alessandro Sgambato
- Laboratory of Pre-Clinical and Translational Research, IRCCS, Referral Cancer Center of Basilicata,85028 Rionero in Vulture, PZ, Italy.
| | - Franca Esposito
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II,80131 Naples, Italy.
| | - Francesca Maddalena
- Laboratory of Pre-Clinical and Translational Research, IRCCS, Referral Cancer Center of Basilicata,85028 Rionero in Vulture, PZ, Italy.
| | - Matteo Landriscina
- Laboratory of Pre-Clinical and Translational Research, IRCCS, Referral Cancer Center of Basilicata,85028 Rionero in Vulture, PZ, Italy.
- Medical Oncology Unit, Department of Medical and Surgical Sciences, University of Foggia,71100 Foggia, Italy.
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Khatami F, Aghamir SMK, Tavangar SM. Oncometabolites: A new insight for oncology. Mol Genet Genomic Med 2019; 7:e873. [PMID: 31321921 PMCID: PMC6732276 DOI: 10.1002/mgg3.873] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
The new aspect of oncometabolite can be an indicator of genetic and epigenetic change and cancer biomarker.
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Affiliation(s)
- Fatemeh Khatami
- Urology Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Seyed Mohammad Tavangar
- Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.,Department of Pathology, Dr. Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
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24
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Role of coenzymes in cancer metabolism. Semin Cell Dev Biol 2019; 98:44-53. [PMID: 31176736 DOI: 10.1016/j.semcdb.2019.05.027] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Revised: 05/27/2019] [Accepted: 05/28/2019] [Indexed: 01/18/2023]
Abstract
Cancer is a heterogeneous set of diseases characterized by the rewiring of cellular signaling and the reprogramming of metabolic pathways to sustain growth and proliferation. In past decades, studies were focused primarily on the genetic complexity of cancer. Recently, increasing number of studies have discovered several mutations among metabolic enzymes in different tumor cells. Most of the enzymes are regulated by coenzymes, organic cofactors, that function as intermediate carrier of electrons or functional groups that are transferred during the reaction. However, the precise role of cofactors is not well elucidated. In this review, we discuss several metabolic enzymes associated to cancer metabolism rewiring, whose inhibition may represent a therapeutic target. Such enzymes, upon expression or inhibition, may impact also the coenzymes levels, but only in few cases, it was possible to direct correlate coenzymes changes with a specific enzyme. In addition, we also summarize an up-to-date information on biological role of some coenzymes, preclinical and clinical studies, that have been carried out in various cancers and their outputs.
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25
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Dalla Pozza E, Dando I, Pacchiana R, Liboi E, Scupoli MT, Donadelli M, Palmieri M. Regulation of succinate dehydrogenase and role of succinate in cancer. Semin Cell Dev Biol 2019; 98:4-14. [PMID: 31039394 DOI: 10.1016/j.semcdb.2019.04.013] [Citation(s) in RCA: 101] [Impact Index Per Article: 20.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Revised: 04/17/2019] [Accepted: 04/18/2019] [Indexed: 01/08/2023]
Abstract
Succinate dehydrogenase (SDH) has been classically considered a mitochondrial enzyme with the unique property to participate in both the citric acid cycle and the electron transport chain. However, in recent years, several studies have highlighted the role of the SDH substrate, i.e. succinate, in biological processes other than metabolism, tumorigenesis being the most remarkable. For this reason, SDH has now been defined a tumor suppressor and succinate an oncometabolite. In this review, we discuss recent findings regarding alterations in SDH activity leading to succinate accumulation, which include SDH mutations, regulation of mRNA expression, post-translational modifications and endogenous SDH inhibitors. Further, we report an extensive examination of the role of succinate in cancer development through the induction of epigenetic and metabolic alterations and the effects on epithelial to mesenchymal transition, cell migration and invasion, and angiogenesis. Finally, we have focused on succinate and SDH as diagnostic markers for cancers having altered SDH expression/activity.
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Affiliation(s)
- Elisa Dalla Pozza
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Biochemistry, University of Verona, Verona, Italy
| | - Ilaria Dando
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Biochemistry, University of Verona, Verona, Italy
| | - Raffaella Pacchiana
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Biochemistry, University of Verona, Verona, Italy
| | - Elio Liboi
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Biochemistry, University of Verona, Verona, Italy
| | - Maria Teresa Scupoli
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Biochemistry, University of Verona, Verona, Italy; Research Center LURM (Interdepartmental Laboratory of Medical Research), University of Verona, Verona, Italy.
| | - Massimo Donadelli
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Biochemistry, University of Verona, Verona, Italy.
| | - Marta Palmieri
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Biochemistry, University of Verona, Verona, Italy
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