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El Beaino Z, Dupain C, Marret G, Paoletti X, Fuhrmann L, Martinat C, Allory Y, Halladjian M, Bièche I, Le Tourneau C, Kamal M, Vincent-Salomon A. Pan-cancer evaluation of tumor-infiltrating lymphocytes and programmed cell death protein ligand-1 in metastatic biopsies and matched primary tumors. J Pathol 2024; 264:186-196. [PMID: 39072750 DOI: 10.1002/path.6334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 05/22/2024] [Accepted: 06/19/2024] [Indexed: 07/30/2024]
Abstract
Tumor immunological characterization includes evaluation of tumor-infiltrating lymphocytes (TILs) and programmed cell death protein ligand-1 (PD-L1) expression. This study investigated TIL distribution, its prognostic value, and PD-L1 expression in metastatic and matched primary tumors (PTs). Specimens from 550 pan-cancer patients of the SHIVA01 trial (NCT01771458) with available metastatic biopsy and 111 matched PTs were evaluated for TILs and PD-L1. Combined positive score (CPS), tumor proportion score (TPS), and immune cell (IC) score were determined. TILs and PD-L1 were assessed according to PT organ of origin, histological subtype, and metastatic biopsy site. We found that TIL distribution in metastases did not vary according to PT organ of origin, histological subtype, or metastatic biopsy site, with a median of 10% (range: 0-70). TILs were decreased in metastases compared to PT (20% [5-60] versus 10% [0-40], p < 0.0001). CPS varied according to histological subtype (p = 0.02) and biopsy site (p < 0.02). TPS varied according to PT organ of origin (p = 0.003), histological subtype (p = 0.0004), and metastatic biopsy site (p = 0.00004). TPS was higher in metastases than in PT (p < 0.0001). TILs in metastases did not correlate with overall survival. In conclusion, metastases harbored fewer TILs than matched PT, regardless of PT organ of origin, histological subtype, and metastatic biopsy site. PD-L1 expression increased with disease progression. © 2024 The Author(s). The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- Zakhia El Beaino
- Department of Pathology, Institut Curie, PSL Research University, Paris, France
| | - Célia Dupain
- Department of Drug Development and Innovation (D3i), Institut Curie, Paris, France
| | - Grégoire Marret
- Department of Drug Development and Innovation (D3i), Institut Curie, Paris, France
| | - Xavier Paoletti
- INSERM U900 Research Unit, Institut Curie, Saint-Cloud, France
- Department of Biostatistics, Institut Curie, Paris, France
| | - Laëtitia Fuhrmann
- Department of Pathology, Institut Curie, PSL Research University, Paris, France
| | - Charlotte Martinat
- Department of Pathology, Institut Curie, PSL Research University, Paris, France
| | - Yves Allory
- Department of Pathology, Institut Curie, Saint-Cloud, Versailles Saint-Quentin University, Paris-Saclay, France
| | - Maral Halladjian
- Department of Drug Development and Innovation (D3i), Institut Curie, Paris, France
| | - Ivan Bièche
- Department of Genetics, Institut Curie, Paris, France
- INSERM U1016 Research Unit, Paris, France
- Faculty of Pharmaceutical and Biological Sciences, Paris-Cité University, Paris, France
| | - Christophe Le Tourneau
- Department of Drug Development and Innovation (D3i), Institut Curie, Paris, France
- INSERM U900 Research Unit, Institut Curie, Saint-Cloud, France
- Paris-Saclay University, Paris, France
| | - Maud Kamal
- Department of Drug Development and Innovation (D3i), Institut Curie, Paris, France
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Gandra D, Mulama DH, Foureau DM, McKinney KQ, Kim E, Smith K, Haw J, Nagulapally A, Saulnier Sholler GL. DFMO inhibition of neuroblastoma tumorigenesis. Cancer Med 2024; 13:e7207. [PMID: 38686627 PMCID: PMC11058673 DOI: 10.1002/cam4.7207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 11/29/2023] [Accepted: 12/04/2023] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND Most high-risk neuroblastoma patients who relapse succumb to disease despite the existing therapy. We recently reported increased event-free and overall survival in neuroblastoma patients receiving difluoromethylornithine (DFMO) during maintenance therapy. The effect of DFMO on cellular processes associated with neuroblastoma tumorigenesis needs further elucidation. Previous studies have shown cytotoxicity with IC50 values >5-15 mM, these doses are physiologically unattainable in patients, prompting further mechanistic studies at therapeutic doses. METHODS We characterized the effect of DFMO on cell viability, cell cycle, apoptosis, neurosphere formation, and protein expression in vitro using five established neuroblastoma cell lines (BE2C, CHLA-90, SHSY5Y, SMS-KCNR, and NGP) at clinically relevant doses of 0, 50, 100, 500, 1000, and 2500 μM. Limiting Dilution studies of tumor formation in murine models were performed. Statistical analysis was done using GraphPad and the level of significance set at p = 0.05. RESULTS There was not a significant loss of cell viability or gain of apoptotic activity in the in vitro assays (p > 0.05). DFMO treatment initiated G1 to S phase cell cycle arrest. There was a dose-dependent decrease in frequency and size of neurospheres and a dose-dependent increase in beta-galactosidase activity in all cell lines. Tumor formation was decreased in xenografts both with DFMO-pretreated cells and in mice treated with DFMO. CONCLUSION DFMO treatment is cytostatic at physiologically relevant doses and inhibits tumor initiation and progression in mice. This study suggests that DFMO, inhibits neuroblastoma by targeting cellular processes integral to neuroblastoma tumorigenesis at clinically relevant doses.
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Affiliation(s)
- Divya Gandra
- Department of PediatricsPenn State Health Children's HospitalHersheyPennsylvaniaUSA
| | - David H. Mulama
- Department of PediatricsLevine Children's HospitalCharlotteNorth CarolinaUSA
| | - David M. Foureau
- Department of MedicineLevine Cancer InstituteCharlotteNorth CarolinaUSA
| | | | - Elizabeth Kim
- Department of PediatricsLevine Children's HospitalCharlotteNorth CarolinaUSA
| | - Kaitlyn Smith
- Department of PediatricsLevine Children's HospitalCharlotteNorth CarolinaUSA
| | - Jason Haw
- Department of PediatricsLevine Children's HospitalCharlotteNorth CarolinaUSA
| | - Abhinav Nagulapally
- Department of PediatricsPenn State Health Children's HospitalHersheyPennsylvaniaUSA
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Mohan S, Hakami MA, Dailah HG, Khalid A, Najmi A, Zoghebi K, Halawi MA. Bridging autoimmunity and epigenetics: The influence of lncRNA MALAT1. Pathol Res Pract 2024; 254:155041. [PMID: 38199135 DOI: 10.1016/j.prp.2023.155041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 12/12/2023] [Accepted: 12/16/2023] [Indexed: 01/12/2024]
Abstract
Autoimmune disorders represent a heterogeneous spectrum of conditions defined by an immune system's atypical reactivity against endogenous constituents. In the complex anatomy of autoimmune pathogenesis, lncRNAs have appeared as pivotal arbiters orchestrating the mechanisms of ailment initiation, immune cascades, and transcriptional modulation. One such lncRNA, MALAT1, has garnered attention for its potential association with the aetiology of several autoimmune diseases. MALAT1 has been shown to influence a wide spectrum of cellular processes, which include cell multiplication and specialization, as well as apoptosis and inflammation. In autoimmune diseases, MALAT1 exhibits both disease-specific and shared patterns of dysregulation, often correlating with disease severity. The molecular mechanisms underlying MALAT1's impact on autoimmune disorders include epigenetic modifications, alternative splicing, and modulation of gene expression networks. Additionally, MALAT1's intricate interactions with microRNAs, other lncRNAs, and protein-coding genes further underscore its role in immune regulation and autoimmune disease progression. Understanding the contribution of MALAT1 in autoimmune pathogenesis across different diseases could offer valuable insights into shared pathways, thereby clearing a path for the creation of innovative and enhanced therapeutic approaches to address these complex disorders. This review aims to elucidate the complex role of MALAT1 in autoimmune disorders, encompassing rheumatoid arthritis, multiple sclerosis, inflammatory bowel disease (Crohn's disease and ulcerative colitis), type 1 diabetes, systemic lupus erythematosus, and psoriasis. Furthermore, it discusses the potential of MALAT1 as a diagnostic biomarker, therapeutic target, and prognostic indicator.
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Affiliation(s)
- Syam Mohan
- Substance Abuse and Toxicology Research Centre, Jazan University, Jazan 45142, Saudi Arabia; School of Health Sciences, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India; Center for Global health Research, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, India
| | - Mohammed Ageeli Hakami
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Al-Quwayiyah, Shaqra University, Riyadh, Saudi Arabia.
| | - Hamad Ghaleb Dailah
- Research and Scientific Studies Unit, College of Nursing, Jazan University, Jazan 45142, Saudi Arabia
| | - Asaad Khalid
- Substance Abuse and Toxicology Research Centre, Jazan University, Jazan 45142, Saudi Arabia
| | - Asim Najmi
- Department of Pharmaceutical Chemistry and Pharmacognosy, College of Pharmacy, Jazan University, Jazan 45142, Saudi Arabia
| | - Khalid Zoghebi
- Department of Pharmaceutical Chemistry and Pharmacognosy, College of Pharmacy, Jazan University, Jazan 45142, Saudi Arabia
| | - Maryam A Halawi
- Department of Clinical Pharmacy, College of Pharmacy, Jazan University, Jazan 45142, Saudi Arabia
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Cui J, Liu X, Dong W, Liu Y, Ruan X, Zhang M, Wang P, Liu L, Xue Y. SNORD17-mediated KAT6B mRNA 2'-O-methylation regulates vasculogenic mimicry in glioblastoma cells. Cell Biol Toxicol 2023; 39:2841-2860. [PMID: 37058271 DOI: 10.1007/s10565-023-09805-w] [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: 11/09/2022] [Accepted: 03/24/2023] [Indexed: 04/15/2023]
Abstract
Glioblastoma (GBM) is a primary tumor in the intracranial compartment. Vasculogenic mimicry (VM) is a process in which a pipeline of tumor cells that provide blood support to carcinogenic cells is formed, and studying VM could provide a new strategy for clinical targeted treatment of GBM. In the present study, we found that SNORD17 and ZNF384 were significantly upregulated and promoted VM in GBM, whereas KAT6B was downregulated and inhibited VM in GBM. RTL-P assays were performed to verify the 2'-O-methylation of KAT6B by SNORD17; IP assays were used to detect the acetylation of ZNF384 by KAT6B. In addition, the binding of ZNF384 to the promoter regions of VEGFR2 and VE-cadherin promoted transcription, as validated by chromatin immunoprecipitation and luciferase reporter assays. And finally, knockdown of SNORD17 and ZNF384 combined with KAT6B overexpression effectively reduced the xenograft tumor size, prolonged the survival time of nude mice and reduced the number of VM channels. This study reveals a novel mechanism of the SNORD17/KAT6B/ZNF384 axis in modulating VM development in GBM that may provide a new goal for the comprehensive treatment of GBM.
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Affiliation(s)
- Jingyi Cui
- Department of Neurobiology, School of Life Sciences, China Medical University, Shenyang, 110122, China
- Key Laboratory of Neuro-oncology in Liaoning Province, Shenyang, 110004, China
| | - Xiaobai Liu
- Key Laboratory of Neuro-oncology in Liaoning Province, Shenyang, 110004, China
- Department of Neurosurgery, Shengjing Hospital of China Medical University, Shenyang, 110004, China
| | - Weiwei Dong
- Key Laboratory of Neuro-oncology in Liaoning Province, Shenyang, 110004, China
- Department of Neurosurgery, Shengjing Hospital of China Medical University, Shenyang, 110004, China
| | - Yunhui Liu
- Key Laboratory of Neuro-oncology in Liaoning Province, Shenyang, 110004, China
- Department of Neurosurgery, Shengjing Hospital of China Medical University, Shenyang, 110004, China
| | - Xuelei Ruan
- Department of Neurobiology, School of Life Sciences, China Medical University, Shenyang, 110122, China
- Key Laboratory of Neuro-oncology in Liaoning Province, Shenyang, 110004, China
| | - Mengyang Zhang
- Department of Neurobiology, School of Life Sciences, China Medical University, Shenyang, 110122, China
- Key Laboratory of Neuro-oncology in Liaoning Province, Shenyang, 110004, China
| | - Ping Wang
- Department of Neurobiology, School of Life Sciences, China Medical University, Shenyang, 110122, China
- Key Laboratory of Neuro-oncology in Liaoning Province, Shenyang, 110004, China
| | - Libo Liu
- Department of Neurobiology, School of Life Sciences, China Medical University, Shenyang, 110122, China
- Key Laboratory of Neuro-oncology in Liaoning Province, Shenyang, 110004, China
| | - Yixue Xue
- Department of Neurobiology, School of Life Sciences, China Medical University, Shenyang, 110122, China.
- Key Laboratory of Neuro-oncology in Liaoning Province, Shenyang, 110004, China.
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Zhao X, Xu M, Hu X, Ding X, Zhang X, Xu L, Li L, Sun X, Song J. Human bone marrow-derived mesenchymal stem overexpressing microRNA-124-3p inhibit DLBCL progression by downregulating the NFATc1/cMYC pathway. Stem Cell Res Ther 2023; 14:148. [PMID: 37248542 DOI: 10.1186/s13287-023-03373-w] [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: 08/08/2022] [Accepted: 05/09/2023] [Indexed: 05/31/2023] Open
Abstract
BACKGROUND Exosomes play important roles in intercellular communication by delivering microRNAs (miRNAs) that mediate tumor initiation and development, including those in diffuse large B cell lymphoma (DLBCL). To date, however, limited studies on the inhibitory effect of exosomes derived from human bone marrow mesenchymal stem cells (hBMSCs) on DLBCL progression have been reported. Therefore, this study aimed to investigate the role of hBMSC exosomes carrying microRNA-124-3p in the development of DLBCL. METHODS Microarray-based expression analysis was adopted to identify differentially expressed genes and regulatory miRNAs, which revealed the candidate NFATc1. Next, the binding affinity between miR-124-3p and NFATc1 was detected by luciferase activity assays. The mechanism underlying NFATc1 regulation was investigated using lentiviral transfections. Subsequently, DLBCL cells were cocultured with exosomes derived from hBMSCs transfected with a miR-124-3p mimic or control. Proliferation and apoptosis were measured in vitro. Finally, the effects of hBMSC-miR-124-3p on tumor growth were investigated in vivo. RESULTS MiR-124-3p was expressed at low levels, while NFATc1 was highly expressed in DLBCL cells. MiR-124-3p specifically targeted and negatively regulated the expression of NFATc1 in DLBCL cells, upregulated miR-124-3p-inhibited DLBCL cell proliferation and promoted apoptosis. The miR-124-3p derived from hBMSCs inhibits tumor growth both in vivo and in vitro via downregulation of the NFATc1/cMYC pathway. CONCLUSION Human bone marrow-derived mesenchymal stem cell overexpressing microRNA-124-3p represses the development of DLBCL through the downregulation of NFATc1.
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Affiliation(s)
- Xiaoxuan Zhao
- Department of Dermatology, Dalian Dermatosis Hospital, Dalian, 116021, Liaoning, People's Republic of China
- Graduate School of China Medical University, Shenyang, People's Republic of China
| | - Mingxi Xu
- Rheumatology Department, The Second Affiliated Hospital of Dalian Medical University, Dalian, 116023, Liaoning, People's Republic of China
- Graduate School of Dalian Medical University, Dalian, People's Republic of China
| | - Xuemeng Hu
- Department of Oncology, The Second Affiliated Hospital of Dalian Medical University, Dalian, 116023, Liaoning, People's Republic of China
- Graduate School of Dalian Medical University, Dalian, People's Republic of China
| | - Xiaolei Ding
- Department of Oncology, The Second Affiliated Hospital of Dalian Medical University, Dalian, 116023, Liaoning, People's Republic of China
| | - Xian Zhang
- Department of Oncology, The Second Affiliated Hospital of Dalian Medical University, Dalian, 116023, Liaoning, People's Republic of China
| | - Liye Xu
- Department of Oncology, The Second Affiliated Hospital of Dalian Medical University, Dalian, 116023, Liaoning, People's Republic of China
| | - Li Li
- Department of Hematology, The Second Affiliated Hospital of Dalian Medical University, Dalian, 116023, Liaoning, People's Republic of China.
| | - Xiuhua Sun
- Department of Oncology, The Second Affiliated Hospital of Dalian Medical University, Dalian, 116023, Liaoning, People's Republic of China.
| | - Jincheng Song
- Department of Oncology, The Second Affiliated Hospital of Dalian Medical University, Dalian, 116023, Liaoning, People's Republic of China.
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Ghaffari Laleh N, Truhn D, Veldhuizen GP, Han T, van Treeck M, Buelow RD, Langer R, Dislich B, Boor P, Schulz V, Kather JN. Adversarial attacks and adversarial robustness in computational pathology. Nat Commun 2022; 13:5711. [PMID: 36175413 PMCID: PMC9522657 DOI: 10.1038/s41467-022-33266-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Accepted: 09/09/2022] [Indexed: 11/09/2022] Open
Abstract
Artificial Intelligence (AI) can support diagnostic workflows in oncology by aiding diagnosis and providing biomarkers directly from routine pathology slides. However, AI applications are vulnerable to adversarial attacks. Hence, it is essential to quantify and mitigate this risk before widespread clinical use. Here, we show that convolutional neural networks (CNNs) are highly susceptible to white- and black-box adversarial attacks in clinically relevant weakly-supervised classification tasks. Adversarially robust training and dual batch normalization (DBN) are possible mitigation strategies but require precise knowledge of the type of attack used in the inference. We demonstrate that vision transformers (ViTs) perform equally well compared to CNNs at baseline, but are orders of magnitude more robust to white- and black-box attacks. At a mechanistic level, we show that this is associated with a more robust latent representation of clinically relevant categories in ViTs compared to CNNs. Our results are in line with previous theoretical studies and provide empirical evidence that ViTs are robust learners in computational pathology. This implies that large-scale rollout of AI models in computational pathology should rely on ViTs rather than CNN-based classifiers to provide inherent protection against perturbation of the input data, especially adversarial attacks. Artificial Intelligence can support diagnostic workflows in oncology, but they are vulnerable to adversarial attacks. Here, the authors show that convolutional neural networks are highly susceptible to white- and black-box adversarial attacks in clinically relevant classification tasks.
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Affiliation(s)
- Narmin Ghaffari Laleh
- Department of Medicine III, University Hospital RWTH Aachen, RWTH Aachen university, Aachen, Germany
| | - Daniel Truhn
- Department of Diagnostic and Interventional Radiology, University Hospital Aachen, Aachen, Germany
| | - Gregory Patrick Veldhuizen
- Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany
| | - Tianyu Han
- Department of Physics of Molecular Imaging Systems, Institute for Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany
| | - Marko van Treeck
- Department of Medicine III, University Hospital RWTH Aachen, RWTH Aachen university, Aachen, Germany
| | - Roman D Buelow
- Institute of Pathology, University Hospital RWTH Aachen, Aachen, Germany
| | - Rupert Langer
- Institute of Pathology, University of Bern, Bern, Switzerland.,Institute of Pathology and Molecular Pathology, Kepler University Hospital, Johannes Kepler University Linz, Linz, Austria
| | - Bastian Dislich
- Institute of Pathology, University of Bern, Bern, Switzerland
| | - Peter Boor
- Institute of Pathology, University Hospital RWTH Aachen, Aachen, Germany
| | - Volkmar Schulz
- Department of Physics of Molecular Imaging Systems, Institute for Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany.,Physics Institute III B, RWTH Aachen University, Aachen, Germany.,Fraunhofer Institute for Digital Medicine MEVIS, Aachen, Germany.,Hyperion Hybrid Imaging Systems GmbH, Aachen, Germany
| | - Jakob Nikolas Kather
- Department of Medicine III, University Hospital RWTH Aachen, RWTH Aachen university, Aachen, Germany. .,Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany. .,Medical Oncology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany. .,Division of Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK. .,Department of Medicine 1, University Hospital and Faculty of Medicine Carl Gustav Carus, Technical University Dresden, Dresden, Germany.
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Overexpression CPT1A reduces lipid accumulation via PPARα/CD36 axis to suppress the cell proliferation in ccRCC. Acta Biochim Biophys Sin (Shanghai) 2021; 54:220-231. [PMID: 35130611 PMCID: PMC9909300 DOI: 10.3724/abbs.2021023] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Clear cell renal carcinoma (ccRCC) is histologically defined by its cytoplasmic lipid deposits. Lipid metabolism disorder largely increases the risk of ccRCC. In this study, we aimed to investigate the biological functions and molecular mechanisms of carnitine palmitoyl transferase 1A (CPT1A) in ccRCC. Our results showed that CPT1A is decreased in ccRCC clinical samples and cell lines compared with that in normal samples. Lentivirus overexpressing CPT1A was used to investigate the neoplastic phenotypes of ccRCC, and the results showed that lipid accumulation and tumor growth are attenuated both and . In addition, CPT1A prevents cholesterol uptake and lipid accumulation by increasing the peroxisome proliferator-activated receptor α (PPARα) level through regulation of Class B scavenger receptor type 1 (SRB1) and cluster of differentiation 36 (CD36). Furthermore, PI3K/Akt signaling pathway promotes tumor cell proliferation in ccRCC, which is related to the enhanced expression of CD36. Functionally, weakened CPT1A expression is critical for lipid accumulation to promote ccRCC development. Collectively, our research unveiled a novel function of CPT1A in lipid metabolism via PPARα/CD36 axis, which provides a new theoretical explanation for the pathogenesis of ccRCC. Targeting CPT1A may be a potential therapeutic strategy to treat ccRCC.
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Li ZM, Xu SY, Feng YZ, Cheng YR, Xiong JB, Zhou Y, Guan CX. The role of NOX4 in pulmonary diseases. J Cell Physiol 2020; 236:1628-1637. [PMID: 32780450 DOI: 10.1002/jcp.30005] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 07/26/2020] [Accepted: 07/30/2020] [Indexed: 12/12/2022]
Abstract
Nicotinamide adenine dinucleotide phosphate oxidase 4 (NOX4) is a subtype of the NOX family, which is mainly expressed in the pulmonary vasculature and pulmonary endothelial cells in the respiratory system. NOX4 has unique characteristics, and is a constitutively active enzyme that primarily produces hydrogen peroxide. The signaling pathways associated with NOX4 are complicated. Negative and positive feedback play significant roles in regulating NOX4 expression. The role of NOX4 is controversial because NOX4 plays a protective or damaging role in different respiratory diseases. This review summarizes the structure, enzymatic properties, regulation, and signaling pathways of NOX4. This review then introduces the roles of NOX4 in different diseases in the respiratory system, such as acute respiratory distress syndrome, chronic obstructive pulmonary disease, and pulmonary fibrosis.
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Affiliation(s)
- Zi-Ming Li
- Department of Physiology, Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Sheng-Ya Xu
- Department of Physiology, Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Yi-Zhuo Feng
- Department of Physiology, Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Yu-Rui Cheng
- Department of Physiology, Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Jian-Bing Xiong
- Department of Physiology, Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Yong Zhou
- Department of Physiology, Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Cha-Xiang Guan
- Department of Physiology, Xiangya School of Medicine, Central South University, Changsha, Hunan, China
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