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Yan Y, Su J, Zhang Z. The CXCL12/CXCR4/ACKR3 Response Axis in Chronic Neurodegenerative Disorders of the Central Nervous System: Therapeutic Target and Biomarker. Cell Mol Neurobiol 2022; 42:2147-2156. [PMID: 34117967 DOI: 10.1007/s10571-021-01115-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Accepted: 06/02/2021] [Indexed: 12/20/2022]
Abstract
There has been an increase in the incidence of chronic neurodegenerative disorders of the central nervous system, including Alzheimer's and Parkinson's diseases, over the recent years mostly due to the rise in the number of elderly individuals. In addition, various neurodegenerative disorders are related to imbalances in the CXCL12/CXCR4/ACKR3 response axis. Notably, the CXC Chemokine Ligand 12 (CXCL12) is essential for the development of the central nervous system. Moreover, the expression and distribution of CXCL12 and its receptors are associated with the aggravation or alleviation of symptoms of neurodegenerative disorders. Therefore, the current review sought to highlight the specific functions of CXCL12 and its receptors in various neurodegenerative disorders, in order to provide new insights for future research.
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Affiliation(s)
- Yudie Yan
- Department of Ultrasound, First Affiliated Hospital of China Medical University, Liaoning Province, Shenyang City, 110001, People's Republic of China
| | - Jingtong Su
- Jinzhou Medical University, Liaoning Province, Jinzhou City, People's Republic of China
| | - Zhen Zhang
- Department of Ultrasound, First Affiliated Hospital of China Medical University, Liaoning Province, Shenyang City, 110001, People's Republic of China.
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2
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Tyagi A, Wu SY, Sharma S, Wu K, Zhao D, Deshpande R, Singh R, Li W, Topaloglu U, Ruiz J, Watabe K. Exosomal miR-4466 from nicotine-activated neutrophils promotes tumor cell stemness and metabolism in lung cancer metastasis. Oncogene 2022; 41:3079-3092. [PMID: 35461327 PMCID: PMC9135627 DOI: 10.1038/s41388-022-02322-w] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 04/07/2022] [Accepted: 04/11/2022] [Indexed: 01/28/2023]
Abstract
Smoking is associated with lung cancer and has a profound impact on tumor immunity. Nicotine, the addictive and non-carcinogenic smoke component, influences various brain cells and the immune system. However, how long-term use of nicotine affects brain metastases is poorly understood. We, therefore, examined the mechanism by which nicotine promotes lung cancer brain metastasis. In this study, we conducted a retrospective analysis of 810 lung cancer patients with smoking history and assessed brain metastasis. We found that current smoker's lung cancer patients have significantly higher brain metastatic incidence compared to the never smokers. We also found that chronic nicotine exposure recruited STAT3-activated N2-neutrophils within the brain pre-metastatic niche and secreted exosomal miR-4466 which promoted stemness and metabolic switching via SKI/SOX2/CPT1A axis in the tumor cells in the brain thereby enabling metastasis. Importantly, exosomal miR-4466 levels were found to be elevated in serum/urine of cancer-free subjects with a smoking history and promote tumor growth in vivo, suggesting that exosomal miR-4466 may serve as a promising prognostic biomarker for predicting increased risk of metastatic disease among smoker(s). Our findings suggest a novel pro-metastatic role of nicotine-induced N2-neutrophils in the progression of brain metastasis. We also demonstrated that inhibiting nicotine-induced STAT3-mediated neutrophil polarization effectively abrogated brain metastasis in vivo. Our results revealed a novel mechanistic insight on how chronic nicotine exposure contributes to worse clinical outcome of metastatic lung cancer and implicated the risk of using nicotine gateway for smoking cessation in cancer patients.
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Affiliation(s)
- Abhishek Tyagi
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, United States
| | - Shih-Ying Wu
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, United States
| | - Sambad Sharma
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, United States
| | - Kerui Wu
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, United States
| | - Dan Zhao
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, United States
| | - Ravindra Deshpande
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, United States
| | - Ravi Singh
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, United States
| | - Wencheng Li
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, United States
| | - Umit Topaloglu
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, United States
| | - Jimmy Ruiz
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, United States
| | - Kounosuke Watabe
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, United States.
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Wang YW, Chen SC, Gu DL, Yeh YC, Tsai JJ, Yang KT, Jou YS, Chou TY, Tang TK. A novel HIF1α-STIL-FOXM1 axis regulates tumor metastasis. J Biomed Sci 2022; 29:24. [PMID: 35365182 PMCID: PMC8973879 DOI: 10.1186/s12929-022-00807-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Accepted: 03/24/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Metastasis is the major cause of morbidity and mortality in cancer that involves in multiple steps including epithelial-mesenchymal transition (EMT) process. Centrosome is an organelle that functions as the major microtubule organizing center (MTOC), and centrosome abnormalities are commonly correlated with tumor aggressiveness. However, the conclusive mechanisms indicating specific centrosomal proteins participated in tumor progression and metastasis remain largely unknown. METHODS The expression levels of centriolar/centrosomal genes in various types of cancers were first examined by in silico analysis of the data derived from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and European Bioinformatics Institute (EBI) datasets. The expression of STIL (SCL/TAL1-interrupting locus) protein in clinical specimens was further assessed by Immunohistochemistry (IHC) analysis and the oncogenic roles of STIL in tumorigenesis were analyzed using in vitro and in vivo assays, including cell migration, invasion, xenograft tumor formation, and metastasis assays. The transcriptome differences between low- and high-STIL expression cells were analyzed by RNA-seq to uncover candidate genes involved in oncogenic pathways. The quantitative polymerase chain reaction (qPCR) and reporter assays were performed to confirm the results. The chromatin immunoprecipitation (ChIP)-qPCR assay was applied to demonstrate the binding of transcriptional factors to the promoter. RESULTS The expression of STIL shows the most significant increase in lung and various other types of cancers, and is highly associated with patients' survival rate. Depletion of STIL inhibits tumor growth and metastasis. Interestingly, excess STIL activates the EMT pathway, and subsequently enhances cancer cell migration and invasion. Importantly, we reveal an unexpected role of STIL in tumor metastasis. A subset of STIL translocate into nucleus and associate with FOXM1 (Forkhead box protein M1) to promote tumor metastasis and stemness via FOXM1-mediated downstream target genes. Furthermore, we demonstrate that hypoxia-inducible factor 1α (HIF1α) directly binds to the STIL promoter and upregulates STIL expression under hypoxic condition. CONCLUSIONS Our findings indicate that STIL promotes tumor metastasis through the HIF1α-STIL-FOXM1 axis, and highlight the importance of STIL as a promising therapeutic target for lung cancer treatment.
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Affiliation(s)
- Yi-Wei Wang
- Institute of Biomedical Sciences, Academia Sinica, 128 Academia Rd., Sec. 2, Taipei, 11529, Taiwan
| | - Shu-Chuan Chen
- Institute of Biomedical Sciences, Academia Sinica, 128 Academia Rd., Sec. 2, Taipei, 11529, Taiwan
| | - De-Leung Gu
- Institute of Biomedical Sciences, Academia Sinica, 128 Academia Rd., Sec. 2, Taipei, 11529, Taiwan
| | - Yi-Chen Yeh
- Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Jhih-Jie Tsai
- Institute of Biomedical Sciences, Academia Sinica, 128 Academia Rd., Sec. 2, Taipei, 11529, Taiwan
| | - Kuo-Tai Yang
- Institute of Biomedical Sciences, Academia Sinica, 128 Academia Rd., Sec. 2, Taipei, 11529, Taiwan
- Dept. of Animal Science, National Pingtung University of Science and Technology, Pingtung, Taiwan
| | - Yuh-Shan Jou
- Institute of Biomedical Sciences, Academia Sinica, 128 Academia Rd., Sec. 2, Taipei, 11529, Taiwan
| | - Teh-Ying Chou
- Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Tang K Tang
- Institute of Biomedical Sciences, Academia Sinica, 128 Academia Rd., Sec. 2, Taipei, 11529, Taiwan.
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Wang G, Bie F, Li G, Shi J, Zeng Y, Du J. Study of the co-expression gene modules of non-small cell lung cancer metastases. Cancer Biomark 2021; 30:321-329. [PMID: 33337349 DOI: 10.3233/cbm-201605] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
BACKGROUND Metastasis regularly is a marker of the disease development of cancers. Some metastatic sites significantly showed more serious clinical outcomes in non-small cell lung cancer (NSCLC). Whether they are caused by tissue-specific (TS) or non-tissue-specific (NTS) mechanisms is still unclear. OBJECTIVE Explore co-expression gene modules of non-small cell lung cancer metastases. METHODS Weighted Correlation Network Analysis (WGCNA) was used to identify the gene modules among the metastases of NSCLC. The clinical significance of those gene modules was evaluated with the Cox hazard proportional model with another independent dataset. Functions of each gene module were analyzed with gene ontology. Typical genes were further studied. RESULTS There were two TS gene modules and two NTS gene modules identified. One TS gene module (green module) and one NTS gene module (purple module) significantly correlated with survival. This NTS gene module (purple module) was significantly enriched in the epithelial-to-mesenchymal transition (EMT) process. Higher expression of the typical genes (CA14, SOX10, TWIST1, and ALX1) from EMT process was significantly associated with a worse survival. CONCLUSION The lethality of NSCLC metastases was caused by TS gene modules and NTS gene modules, among which the EMT-related gene module was critical for a worse clinical outcome.
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Affiliation(s)
- Guanghui Wang
- Institute of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.,Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.,Institute of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Fenglong Bie
- Institute of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.,Institute of Oncology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.,Institute of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Guangxu Li
- Department of Thoracic Surgery, Dezhou City Second People's Hospital, Dezhou, Shandong, China
| | - Junping Shi
- Medical Department, OrigiMed, Shanghai, China
| | | | - Jiajun Du
- Institute of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.,Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
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Su H, Lin Z, Peng W, Hu Z. Identification of potential biomarkers of lung adenocarcinoma brain metastases via microarray analysis of cDNA expression profiles. Oncol Lett 2018; 17:2228-2236. [PMID: 30675288 PMCID: PMC6341808 DOI: 10.3892/ol.2018.9829] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2018] [Accepted: 09/03/2018] [Indexed: 02/06/2023] Open
Abstract
Brain metastases originating from lung adenocarcinoma (LAD) occur frequently. The aim of the current study was to assess potential biomarkers for the prognosis of lung adenocarcinoma brain metastasis (LAD-BM) through the analysis of gene expression microarrays. The current study downloaded two gene expression datasets, GSE14108 and GSE10245, from the Gene Expression Omnibus database. From GSE14108 and GSE10245, 19 LAD-BM samples and 40 primary LAD samples were selected for analysis. To identify the differentially expressed genes (DEGs), the current study compared the two sample groups, using the limma R package. Subsequently, pathway enrichment analysis was conducted using the Cluster Profiler R package, and the construction of the protein-protein interaction (PPI) network was executed utilizing the Search Tool for the Retrieval of Interacting Genes database. The microRNA-target network was built using the TargetScore R package. Then, these networks were established and visualized using Cytoscape software. An array of 463 DEGs was identified in the LAD-BM samples, including 256 upregulated and 207 downregulated genes. Based on functional term enrichment analysis using the Gene Ontology database and signaling pathway enrichment analysis using the Kyoto Encyclopedia of Genes and Genomes database, it was identified that the overlapping DEGs were primarily involved in chemokine-associated signal transduction, which may mediate lung cancer cell metastasis to the brain. Chemokine ligand 2, lysozyme, matrix metalloproteinase-2 (MMP-2), lysyl oxidase (LOX) and granzyme B were identified as potential biomarkers according to a topological analysis of the PPI networks. Two notable nodes, MMP-2 and LOX, appeared in the PPI network and were key points in the microRNA-target network, as they were regulated by hsa-let-7d. Many DEGs and microRNAs were regarded as prognostic biomarkers for lung adenocarcinoma metastasis in the current study. These DEGs were primarily associated with chemokine-mediated signaling pathways. In addition, MMP-2 and LOX were predicted to be targets of hsa-let-7d.
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Affiliation(s)
- Haiyang Su
- Department of Neurosurgery, Peking University Ninth School of Clinical Medicine, Beijing 100038, P.R. China
| | - Zhenyang Lin
- Department of Neurosurgery, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, P.R. China
| | - Weicheng Peng
- Department of Neurosurgery, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, P.R. China
| | - Zhiqiang Hu
- Department of Neurosurgery, Peking University Ninth School of Clinical Medicine, Beijing 100038, P.R. China
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Wald O. CXCR4 Based Therapeutics for Non-Small Cell Lung Cancer (NSCLC). J Clin Med 2018; 7:jcm7100303. [PMID: 30257500 PMCID: PMC6210654 DOI: 10.3390/jcm7100303] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2018] [Revised: 09/16/2018] [Accepted: 09/23/2018] [Indexed: 12/16/2022] Open
Abstract
Lung cancer is the second most common malignancy. Unfortunately, despite advances in multimodality therapeutics for the disease, the overall five-year survival rate among newly diagnosed lung cancer patients remains in the range region of 15%. In addition, although immune checkpoint inhibitors are increasingly being incorporated into lung cancer treatment protocols, the proportion of patients that respond to these agents remains low and the duration of response is often short. Therefore, novel methodologies to enhance the efficacy of immunotherapy in lung cancer are highly desirable. Chemokines are small chemotactic cytokines that interact with their 7 transmembrane G-protein⁻coupled receptors, to guide immune cell trafficking in the body under both physiologic and pathologic conditions. Tumor cells highjack a small repertoire of the chemokine/chemokine receptor system and utilize it in a manner that benefits local tumor growth and distant spread. The chemokine receptor, CXCR4 is expressed in over 30 types of malignant tumors and, through interaction with its ligand CXCL12, was shown exert pleotropic pro-tumorigenic effects. In this review, the pathologic roles that CXCL12/CXCR4 play in lung cancer propagation are presented. Furthermore, the challenges and potential benefits of incorporating drugs that target CXCL12/CXCR4 into immune-based lung cancer therapeutic protocols are discussed.
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Affiliation(s)
- Ori Wald
- Department of Cardiothoracic Surgery, Hadassah Hebrew University Hospital, Jerusalem 91120, Israel.
- Goldyne Savad Institute of Gene Therapy, Hadassah Hebrew University Hospital, Jerusalem 91120, Israel.
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