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Zhang S, Ren L, Li W, Zhang Y, Yang Y, Yang H, Xu F, Cao W, Li X, Zhang X, Du G, Wang J. Interferon Gamma Inducible Protein 30: from biological functions to potential therapeutic target in cancers. Cell Oncol (Dordr) 2024:10.1007/s13402-024-00979-x. [PMID: 39141317 DOI: 10.1007/s13402-024-00979-x] [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] [Accepted: 07/29/2024] [Indexed: 08/15/2024] Open
Abstract
Interferon Gamma Inducible Protein 30 (IFI30), also known as Gamma-Interferon-Inducible Lysosomal Thiol Reductase (GILT), is predominantly found in lysosomes and the cytoplasm. As the sole enzyme identified to catalyze disulfide bond reduction in the endocytic pathway, IFI30 contributes to both major histocompatibility complex (MHC) class I-restricted antigen cross-presentation and MHC class II-restricted antigen processing by decreasing the disulfide bonds of endocytosed proteins. Remarkably, emerging research has revealed that IFI30 is involved in tumorigenesis, tumor development, and the tumor immune response. Targeting IFI30 may provide new strategies for cancer therapy and improve the prognosis of patients. This review provided a comprehensive overview of the research progress on IFI30 in tumor progression, cellular redox status, autophagy, tumor immune response, and drug sensitivity, with a view to providing the theoretical basis for pharmacological intervention of IFI30 in tumor therapy, particularly in immunotherapy.
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Affiliation(s)
- Sen Zhang
- The State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100050, China
- Key Laboratory of Drug Target Research and Drug Screen, Institute of Materia Medica, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100050, China
| | - Liwen Ren
- The State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100050, China
- Key Laboratory of Drug Target Research and Drug Screen, Institute of Materia Medica, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100050, China
| | - Wan Li
- The State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100050, China
- Key Laboratory of Drug Target Research and Drug Screen, Institute of Materia Medica, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100050, China
| | - Yizhi Zhang
- The State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100050, China
- Key Laboratory of Drug Target Research and Drug Screen, Institute of Materia Medica, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100050, China
| | - Yihui Yang
- The State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100050, China
- Key Laboratory of Drug Target Research and Drug Screen, Institute of Materia Medica, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100050, China
| | - Hong Yang
- The State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100050, China
- Key Laboratory of Drug Target Research and Drug Screen, Institute of Materia Medica, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100050, China
| | - Fang Xu
- The State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100050, China
- Key Laboratory of Drug Target Research and Drug Screen, Institute of Materia Medica, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100050, China
| | - Wanxin Cao
- The State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100050, China
- Key Laboratory of Drug Target Research and Drug Screen, Institute of Materia Medica, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100050, China
| | - Xiaoxue Li
- The State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100050, China
- Key Laboratory of Drug Target Research and Drug Screen, Institute of Materia Medica, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100050, China
| | - Xu Zhang
- Department of Pharmaceutics, China Pharmaceutical University, Nanjing, 211198, China
| | - Guanhua Du
- The State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100050, China.
- Key Laboratory of Drug Target Research and Drug Screen, Institute of Materia Medica, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100050, China.
| | - Jinhua Wang
- The State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100050, China.
- Key Laboratory of Drug Target Research and Drug Screen, Institute of Materia Medica, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100050, China.
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Wang Y, Mang X, Guo X, Pu J. Distinct cuproptosis patterns in hepatocellular carcinoma patients correlate with unique immune microenvironment characteristics and cell-cell communication, contributing to varied overall survival outcomes. Front Immunol 2024; 15:1379690. [PMID: 38868777 PMCID: PMC11168106 DOI: 10.3389/fimmu.2024.1379690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 05/01/2024] [Indexed: 06/14/2024] Open
Abstract
Background Hepatocellular carcinoma (HCC), a prevalent cancer, is linked to cuproptosis in tumor progression. However, cuproptosis's impact on HCC prognosis and its role in the tumor microenvironment remain unclear. We aimed to explore the correlation between cellular cuproptosis and the immune microenvironment in HCC, providing potential immunotherapeutic insights. Methods Examining cuproptosis-related genes and the immune microenvironment through consensus clustering and WGCNA. Risk models were constructed using LASSO Cox analysis and validated in an independent cohort. Gene expression data from The Cancer Genome Atlas (TCGA) database and single-cell RNA sequencing (scRNA-seq) data from the Gene Expression Omnibus (GEO) database were utilized. We scored cuproptosis expression and explored immunoinfiltration and cell-cell communication. Differential signals in T_memory cells were compared across different cuproptosis levels. Results Cuproptosis genes associated with fibroblast recruitment (GLS) and macrophage infiltration (FDX1). Liver cancer patients categorized into two subtypes based on cuproptosis gene expression. High expression of DLAT, GLS, and CDKN2A linked to immunosuppression (TGF-β), while high FDX1, MTF1, LIAS, and LIPT1 expression enhanced communication with non-immune cells. Developed reliable prognostic signature score and nomogram using cuproptosis-related genes. Single-cell analysis revealed differences in T_memory and TAM infiltration based on cuproptosis scores, with SPP1 and MIF as dominant signaling molecules. Finally, the results of in vitro experiments showed that when DLAT or CDKN2A was knocked down, the proliferation, migration, and invasion of HCC cells were significantly decreased. Conclusion Our study demonstrates that cuproptosis affects the immune microenvironment and cell-cell communication. Identified 9 genetic markers predicting survival outcomes and immunotherapy responses. Evaluating cuproptosis signaling can optimize immunotherapeutic strategies for hepatocellular carcinoma.
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Affiliation(s)
- Yanhong Wang
- Shanghai Fourth People’s Hospital, and School of Medicine, Tongji University, Shanghai, China
- Department of Biochemistry and Molecular Biology, State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China
- Department of Pharmacy, People's Hospital of Gansu Province, Lanzhou, Gansu, China
| | - Xinyu Mang
- Department of Biochemistry and Molecular Biology, State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China
| | - Xiaohong Guo
- Department of Pharmacy, People's Hospital of Gansu Province, Lanzhou, Gansu, China
| | - Junfeng Pu
- Department of Pharmacy, People's Hospital of Gansu Province, Lanzhou, Gansu, China
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Yang J, Yang S, Cai J, Chen H, Sun L, Wang J, Hou G, Gu S, Ma J, Ge J. A Transcription Factor ZNF384, Regulated by LINC00265, Activates the Expression of IFI30 to Stimulate Malignant Progression in Glioma. ACS Chem Neurosci 2024; 15:290-299. [PMID: 38141017 DOI: 10.1021/acschemneuro.3c00562] [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] [Indexed: 12/24/2023] Open
Abstract
Glioma remains one of the most challenging primary brain malignancies to treat. Long noncoding RNAs (lncRNAs) and mRNAs (mRNAs) are implicated in regulating the malignant phenotypes of cancers including glioma. This study aimed to elucidate the functions and mechanisms of lncRNA LINC00265 and mRNA IFI30 in the pathogenesis of glioma. Quantitative real-time polymerase chain reaction (RT-qPCR) analysis revealed the upregulated expression of LINC00265 and IFI30 in glioma cells compared to normal human astrocytes. Western blot (WB) quantified the associated proteins. Glioma stemness and epithelial-to-mesenchymal transition (EMT) were assessed by aldehyde dehydrogenase 1 (ALDH1) activity, sphere formation, and WB. Mechanistic and rescue assays evaluated the LINC00265/miR-let-7d-5p/IFI30/ZNF384/IGF2BP2 axis. The results demonstrated that LINC00265 and IFI30 were highly expressed in glioma cells, promoting stemness and EMT. ZNF384 was identified as a transcription factor that upregulates IFI30. Moreover, LINC00265 elevated ZNF384 by sponging miR-let-7d-5p and recruiting IGF2BP2. In conclusion, LINC00265 and IFI30 act as oncogenes in glioma by driving stemness and EMT, underscoring their potential as therapeutic targets.
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Affiliation(s)
- Jian Yang
- Renji Hospital Affiliated to Shanghai Jiaotong University School of Medicine, No.160 Pujian Road, Pudong New Area, Shanghai 200127, China
- Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 200092, China
| | - Shenghe Yang
- Yancheng Tinghu District People's Hospital, Yancheng, Jiangsu 224002, China
| | - Jinlian Cai
- 910 Hospital of the Joint Logistics Team, Quanzhou, Fujian 362000, China
| | - Hongjin Chen
- Shanghai Ninth People's Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai 200240, China
| | - Lihua Sun
- Hainan Women and Children's Medical Center, Haikou, Hainan 571199, China
| | - Jiajia Wang
- Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 200092, China
| | - Guoqiang Hou
- Renji Hospital Affiliated to Shanghai Jiaotong University School of Medicine, No.160 Pujian Road, Pudong New Area, Shanghai 200127, China
| | - Shuo Gu
- Hainan Women and Children's Medical Center, Haikou, Hainan 571199, China
| | - Jie Ma
- Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 200092, China
| | - Jianwei Ge
- Renji Hospital Affiliated to Shanghai Jiaotong University School of Medicine, No.160 Pujian Road, Pudong New Area, Shanghai 200127, China
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Chen Y, Xu H, Yu P, Wang Q, Li S, Ji F, Wu C, Lan Q. Interferon-γ inducible protein 30 promotes the epithelial-mesenchymal transition-like phenotype and chemoresistance by activating EGFR/AKT/GSK3β/β-catenin pathway in glioma. CNS Neurosci Ther 2023; 29:4124-4138. [PMID: 37408388 PMCID: PMC10651985 DOI: 10.1111/cns.14334] [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: 03/03/2023] [Revised: 06/05/2023] [Accepted: 06/07/2023] [Indexed: 07/07/2023] Open
Abstract
AIMS Previous studies have indicated that IFI30 plays a protective role in human cancers. However, its potential roles in regulating glioma development are not fully understood. METHODS Public datasets, immunohistochemistry, and western blotting (WB) were used to evaluate the expression of IFI30 in glioma. The potential functions and mechanisms of IFI30 were examined by public dataset analysis; quantitative real-time PCR; WB; limiting dilution analysis; xenograft tumor assays; CCK-8, colony formation, wound healing, and transwell assays; and immunofluorescence microscopy and flow cytometry. RESULTS IFI30 was significantly upregulated in glioma tissues and cell lines compared with corresponding controls, and the expression level of IFI30 was positively associated with tumor grade. Functionally, both in vivo and in vitro evidence showed that IFI30 regulated the migration and invasion of glioma cells. Mechanistically, we found that IFI30 dramatically promoted the epithelial-mesenchymal transition (EMT)-like process by activating the EGFR/AKT/GSK3β/β-catenin pathway. In addition, IFI30 regulated the chemoresistance of glioma cells to temozolomide directly via the expression of the transcription factor Slug, a key regulator of the EMT-like process. CONCLUSION The present study suggests that IFI30 is a regulator of the EMT-like phenotype and acts not only as a prognostic marker but also as a potential therapeutic target for temozolomide-resistant glioma.
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Affiliation(s)
- Ying Chen
- Department of NeurosurgeryThe Second Affiliated Hospital of Soochow UniversitySuzhouJiangsuP.R. China
| | - Hui Xu
- Department of NeurosurgeryThe Second Affiliated Hospital of Soochow UniversitySuzhouJiangsuP.R. China
| | - Pei Yu
- Department of NeurosurgeryThe Second Affiliated Hospital of Soochow UniversitySuzhouJiangsuP.R. China
| | - Qing Wang
- Department of NeurosurgeryThe Second Affiliated Hospital of Soochow UniversitySuzhouJiangsuP.R. China
| | - Shenggang Li
- Department of NeurosurgeryThe Second Affiliated Hospital of Soochow UniversitySuzhouJiangsuP.R. China
| | - Fufu Ji
- Department of NeurosurgeryThe Second Affiliated Hospital of Soochow UniversitySuzhouJiangsuP.R. China
| | - Chunwang Wu
- Department of NeurosurgeryThe Second Affiliated Hospital of Soochow UniversitySuzhouJiangsuP.R. China
| | - Qing Lan
- Department of NeurosurgeryThe Second Affiliated Hospital of Soochow UniversitySuzhouJiangsuP.R. China
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Chen H, He J, Wang L, Lin Y, Mou Z, Huang X, Chen L. Identification of monocyte-associated biomarkers in systemic lupus erythematosus and their pan-cancer analysis. Lupus 2023; 32:1369-1380. [PMID: 37769649 DOI: 10.1177/09612033231204765] [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] [Indexed: 10/03/2023]
Abstract
Immune dysregulation is not only a pathogenic mechanism in systemic lupus erythematosus (SLE) but also a potential cause of the link between SLE and cancer. The current understanding of SLE monocyte-associated biomarkers is limited, and the precise mechanism behind the link between SLE and cancer is uncertain. By using WGCNA and immune infiltration to analyze the GSE72326 dataset, we determined the most pertinent modules for monocytes and discovered eight candidate hub genes from them. The limma software was used to find genes that were differently expressed in SLE. The genes that overlapped between the two were chosen using a Venn diagram as the essential genes related to monocytes in SLE, and the essential genes were verified by several datasets. Correlation analysis and GSEA analysis were used to examine the probable immunological pathways connected to key genes. We examined the expression of hub genes in cancer and their interaction with monocytes using the GEPIA and TIMER databases to understand the significance of essential genes in tumorigenesis. In addition, we performed transcription factor identification. We discovered three biomarkers (IFI30, BLVRA, and RIN2) that are mostly involved in interferon-related signaling pathways and are associated with monocyte-mediated immune responses in SLE. The three important genes are also strongly expressed in a number of malignancies and have a relationship with monocytes. As a result, IFI30, BLVRA, and RIN2 may act as SLE-associated biomarkers of monocytes and as a bridge between SLE and tumors. We proposed that interferon-related signaling pathways might function as possible mediators of cancer risk in SLE.
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Affiliation(s)
- Huiting Chen
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, China
| | - Jinxuan He
- Department of Nephrology, Zhongshan Hospital of Xiamen University, Xiamen, China
- School of Medicine, Xiamen University, Xiamen, China
| | - Linwei Wang
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, China
| | - Yanbin Lin
- Department of Nephrology, Zhongshan Hospital of Xiamen University, Xiamen, China
- School of Medicine, Xiamen University, Xiamen, China
| | - Zhixiang Mou
- Department of Nephrology, Zhongshan Hospital of Xiamen University, Xiamen, China
- School of Medicine, Xiamen University, Xiamen, China
| | - Xiaoxuan Huang
- Department of Nephrology, Zhongshan Hospital of Xiamen University, Xiamen, China
- School of Medicine, Xiamen University, Xiamen, China
| | - Lan Chen
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, China
- Department of Nephrology, Zhongshan Hospital of Xiamen University, Xiamen, China
- School of Medicine, Xiamen University, Xiamen, China
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Lin JP, Brake A, Donadieu M, Lee A, Kawaguchi R, Sati P, Geschwind DH, Jacobson S, Schafer DP, Reich DS. A 4D transcriptomic map for the evolution of multiple sclerosis-like lesions in the marmoset brain. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.25.559371. [PMID: 37808784 PMCID: PMC10557631 DOI: 10.1101/2023.09.25.559371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
Single-time-point histopathological studies on postmortem multiple sclerosis (MS) tissue fail to capture lesion evolution dynamics, posing challenges for therapy development targeting development and repair of focal inflammatory demyelination. To close this gap, we studied experimental autoimmune encephalitis (EAE) in the common marmoset, the most faithful animal model of these processes. Using MRI-informed RNA profiling, we analyzed ~600,000 single-nucleus and ~55,000 spatial transcriptomes, comparing them against EAE inoculation status, longitudinal radiological signals, and histopathological features. We categorized 5 groups of microenvironments pertinent to neural function, immune and glial responses, tissue destruction and repair, and regulatory network at brain borders. Exploring perilesional microenvironment diversity, we uncovered central roles of EAE-associated astrocytes, oligodendrocyte precursor cells, and ependyma in lesion formation and resolution. We pinpointed imaging and molecular features capturing the pathological trajectory of WM, offering potential for assessing treatment outcomes using marmoset as a platform.
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Affiliation(s)
- Jing-Ping Lin
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD
| | - Alexis Brake
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD
| | - Maxime Donadieu
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD
| | - Amanda Lee
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD
| | - Riki Kawaguchi
- Departments of Neurology and Human Genetics, University of California, Los Angeles, Los Angeles, CA
| | - Pascal Sati
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD
- Department of Neurology, Cedars Sinai Medical Center, Los Angeles, CA
| | - Daniel H Geschwind
- Departments of Neurology and Human Genetics, University of California, Los Angeles, Los Angeles, CA
- Psychiatry, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - Steven Jacobson
- Viral Immunology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD
| | - Dorothy P Schafer
- Department of Neurobiology, Brudnick Neuropsychiatric Research Institute, University of Massachusetts Chan Medical School, Worcester, MA
| | - Daniel S Reich
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD
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Propofol Suppresses Glioma Tumorigenesis by Regulating circ_0047688/miR-516b-5p/IFI30 Axis. Biochem Genet 2023; 61:151-169. [PMID: 35763173 DOI: 10.1007/s10528-022-10243-2] [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: 11/25/2021] [Accepted: 06/07/2022] [Indexed: 01/24/2023]
Abstract
Propofol has recently attracted increasing attention for its anti-tumor property in cancers, including glioma. Circular RNAs (circRNAs) can act as key regulators in various cancers. However, the relationship between propofol and circ_0047688 in glioma is still unclear. Cell proliferation was evaluated by Cell Counting Kit-8 (CCK-8), 5-ethynyl-2'-deoxyuridine (EdU), and colony formation assays. Cell migration and invasion were determined using transwell assay. Cell apoptosis was detected by flow cytometry. Protein levels and RNA levels were detected by western blot assay and real-time quantitative polymerase chain reaction (RT‑qPCR), respectively. The intermolecular interaction was predicted by bioinformatics analysis and verified by dual-luciferase reporter assay. A mouse xenograft model was established for in vivo experiments. Propofol inhibited cell proliferation, migration, and invasion and accelerated apoptosis in glioma cells. Circ_0047688 was upregulated in glioma tissues and cells, and propofol downregulated circ_0047688 in a dose-dependent manner. Circ_0047688 knockdown inhibited glioma cell progression and its overexpression abated the anti-tumor role of propofol in glioma cells. Moreover, miR-516b-5p was a direct target of circ_0047688, and circ_0047688 promoted glioma cell progression by sponging miR-516b-5p. In addition, IFI30 was a direct target of miR-516b-5p, and miR-516b-5p inhibited glioma cell malignant behaviors by targeting IFI30 in propofol-treated cells. Furthermore, circ_0047688 overexpression could weaken the anti-tumor role of propofol in vivo. Propofol inhibited glioma progression via modulating circ_0047688/miR-516b-5p/IFI30 axis, providing a potential therapeutic strategy for treatment of glioma.
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Shen X, Wang C, Li M, Wang S, Zhao Y, Liu Z, Zhu G. Identification of CD8+ T cell infiltration-related genes and their prognostic values in cervical cancer. Front Oncol 2022; 12:1031643. [PMID: 36387234 PMCID: PMC9659851 DOI: 10.3389/fonc.2022.1031643] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 10/17/2022] [Indexed: 11/23/2023] Open
Abstract
Cervical cancer is a female-specific cancer with relatively high morbidity and mortality. As known to all, immune cell infiltrations in the cancer microenvironment are closely related to the cancer diagnosis and prognosis. Here we revealed that the CD8+ T cell infiltration was significantly upregulated in cervical cancer versus normal cervix uteri samples. Through univariate and multivariate cox analyses, we discovered that the CD8+ T cell infiltration was the only independent beneficial factor for the prognosis of cervical cancer. To explore the genes associated with the CD8+ T cell infiltration in cervical cancer, we performed the WGCNA analysis on the differentially expressed genes (DEGs) of cervical cancer versus normal cervix uteri tissues. As a result, 231 DEGs were found to be associated with CD8+ T cell infiltration in cervical cancer. Subsequently, with the Cytoscape analysis, we identified 105 hub genes out of the 231 DEGs. To further explore the genes that might be responsible for the prognosis of cervical cancer, we performed a univariate cox analysis followed by a LASSO assay on the 105 hub genes and located four genes (IGSF6, TLR10, FCRL3, and IFI30) finally. The four genes could be applied to the prediction of the prognosis of cervical cancer, and relatively higher expression of these four genes predicted a better prognosis. These findings contributed to our understanding of the prognostic values of CD8+ T cell infiltration and its associated genes in cervical cancer and thus might benefit future immune-related therapies.
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Affiliation(s)
- Xiaopeng Shen
- College of Life Sciences, Anhui Normal University, Wuhu, Anhui, China
| | - Chunguang Wang
- College of Life Sciences, Anhui Normal University, Wuhu, Anhui, China
| | - Meng Li
- College of Life Sciences, Anhui Normal University, Wuhu, Anhui, China
| | - Sufen Wang
- Department of Pathology, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China
| | - Yun Zhao
- College of Life Sciences, Anhui Normal University, Wuhu, Anhui, China
| | - Zhongxian Liu
- College of Life Sciences, Anhui Normal University, Wuhu, Anhui, China
| | - Guoping Zhu
- College of Life Sciences, Anhui Normal University, Wuhu, Anhui, China
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Zhou Y, Dai X, Lyu J, Li Y, Bao X, Deng F, Liu K, Cui L, Cheng L. Construction and validation of a novel prognostic model for thyroid cancer based on N7-methylguanosine modification-related lncRNAs. Medicine (Baltimore) 2022; 101:e31075. [PMID: 36281116 PMCID: PMC9592387 DOI: 10.1097/md.0000000000031075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND To construct and verify a novel prognostic model for thyroid cancer (THCA) based on N7-methylguanosine modification-related lncRNAs (m7G-lncRNAs) and their association with immune cell infiltration. METHODS In this study, we identified m7G-lncRNAs using co-expression analysis and performed differential expression analysis of m7G-lncRNAs between groups. We then constructed a THCA prognostic model, performed survival analysis and risk assessment for the THCA prognostic model, and performed independent prognostic analysis and receiver operating characteristic curve analyses to evaluate and validate the prognostic value of the model. Furthermore, analysis of the regulatory relationship between prognostic differentially expressed m7G-related lncRNAs (PDEm7G-lncRNAs) and mRNAs and correlation analysis of immune cells and risk scores in THCA patients were carried out. RESULTS We identified 29 N7-methylguanosine modification-related mRNAs and 116 differentially expressed m7G-related lncRNAs, including 87 downregulated and 29 upregulated lncRNAs. Next, we obtained 8 PDEm7G-lncRNAs. A final optimized model was constructed consisting of 5 PDEm7G-lncRNAs (DOCK9-DT, DPP4-DT, TMEM105, SMG7-AS1 and HMGA2-AS1). Six PDEm7G-lncRNAs (DOCK9-DT, DPP4-DT, HMGA2-AS1, LINC01976, MID1IP1-AS1, and SMG7-AS1) had positive regulatory relationships with 10 PDEm7G-mRNAs, while 2 PDEm7G-lncRNAs (LINC02026 and TMEM105) had negative regulatory relationships with 2 PDEm7G-mRNAs. Survival curves and risk assessment predicted the prognostic risk in both groups of patients with THCA. Forest maps and receiver operating characteristic curves were used to evaluate and validate the prognostic value of the model. Finally, we demonstrated a correlation between different immune cells and risk scores. CONCLUSION Our results will help identify high-risk or low-risk patients with THCA and facilitate early prediction and clinical intervention in patients with high risk and poor prognosis.
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Affiliation(s)
- Yang Zhou
- Department of Otolaryngology Head and Neck Surgery, The Third People’s Hospital of Yunnan Province, Kunming, Yunnan, China
| | - Xuezhong Dai
- Department of Otolaryngology Head and Neck Surgery, The Third People’s Hospital of Yunnan Province, Kunming, Yunnan, China
| | - Jianhong Lyu
- Department of Anesthesiology, The Third People’s Hospital of Yunnan Province, Kunming, Yunnan, China
| | - Yingyue Li
- Department of Otolaryngology Head and Neck Surgery, The Third People’s Hospital of Yunnan Province, Kunming, Yunnan, China
| | - Xueyu Bao
- Department of Otolaryngology Head and Neck Surgery, The Third People’s Hospital of Yunnan Province, Kunming, Yunnan, China
| | - Fang Deng
- Department of Otolaryngology Head and Neck Surgery, The Third People’s Hospital of Yunnan Province, Kunming, Yunnan, China
| | - Kun Liu
- Department of Otorhinolaryngology, Puren Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China
| | - Liming Cui
- Department of Otolaryngology Head and Neck Surgery, The Third People’s Hospital of Yunnan Province, Kunming, Yunnan, China
| | - Li Cheng
- Department of Endocrinology, The Third People’s Hospital of Yunnan Province, Kunming, Yunnan, China
- * Correspondence: Li Cheng, The Third People’s Hospital of Yunnan Province, 292 Beijing Road, Guandu District, Kunming City, Yunnan Province 650011, China (e-mail: )
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Wang X, Ge X, Qin Y, Liu D, Chen C. Ifi30 Is Required for Sprouting Angiogenesis During Caudal Vein Plexus Formation in Zebrafish. Front Physiol 2022; 13:919579. [PMID: 35910561 PMCID: PMC9325957 DOI: 10.3389/fphys.2022.919579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 06/24/2022] [Indexed: 11/13/2022] Open
Abstract
Interferon-gamma-inducible protein 30 (IFI30) is a critical enzyme that mainly exists in immune cells and functions in reducing protein disulfide bonds in endocytosis-mediated protein degradation. Regardless of this, it is also found to be expressed in vascular system. However, the functions of IFI30 in vascular development remains unknown. Vascular network formation is a tightly controlled process coordinating a series of cell behaviors, including endothelial cell (EC) sprouting, proliferation, and anastomosis. In this work, we analyzed the function of zebrafish Ifi30, orthologous to the human IFI30, in vascular development during embryogenesis. The ifi30 gene was found to be highly expressed in the caudal vein plexus (CVP) region of zebrafish embryos. Morpholino-mediated Ifi30 knockdown in zebrafish resulted in incomplete CVP formation with reduced loop numbers, area, and width. Further analyses implied that Ifi30 deficiency impaired cell behaviors of both ECs and macrophages, including cell proliferation and migration. Here, we demonstrate a novel role of IFI30, which was originally identified as a lysosomal thiol reductase involved in immune responses, in CVP development during embryogenesis. Our results suggest that Ifi30 is required for sprouting angiogenesis during CVP formation, which may offer an insight into the function of human IFI30 in angiogenesis under physiological or pathological conditions.
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Affiliation(s)
| | | | | | - Dong Liu
- *Correspondence: Dong Liu, ; Changsheng Chen,
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11
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Yin X, Wu Q, Hao Z, Chen L. Identification of novel prognostic targets in glioblastoma using bioinformatics analysis. Biomed Eng Online 2022; 21:26. [PMID: 35436915 PMCID: PMC9014588 DOI: 10.1186/s12938-022-00995-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 04/07/2022] [Indexed: 11/17/2022] Open
Abstract
Background Glioblastoma (GBM) is the most malignant grade of glioma. Highly aggressive characteristics of GBM and poor prognosis cause GBM-related deaths. The potential prognostic biomarkers remain to be demonstrated. This research builds up predictive gene targets of expression alterations in GBM utilizing bioinformatics analysis. Methods and results The microarray datasets (GSE15824 and GSE16011) associated with GBM were obtained from Gene Expression Omnibus (GEO) database to identify the differentially expressed genes (DEGs) between GBM and non-tumor tissues. In total, 719 DEGs were obtained and subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) for function enrichment analysis. Furthermore, we constructed protein–protein Interaction (PPI) network among DEGs utilizing Search Tool for the Retrieval of Interacting Genes (STRING) online tool and Cytoscape software. The DEGs of degree > 10 was selected as hub genes, including 73 upregulated genes and 21 downregulated genes. Moreover, MCODE application in Cytoscape software was employed to identify three key modules involved in GBM development and prognosis. Additionally, we used the Gene expression profiling and interactive analyses (GEPIA) online tool to further confirm four genes involving in poor prognosis of GBM patients, including interferon-gamma-inducible protein 30 (IFI30), major histocompatibility complex class II-DM alpha (HLA-DMA), Prolyl 4-hydroxylase beta polypeptide (P4HB) and reticulocalbin-1 (RCN1). Furthermore, the correlation analysis indicated that the expression of IFI30, an acknowledged biomarker in glioma, was positively correlated with HLA-DMA, P4HB and RCN1. RCN1 expression was positively correlated with P4HB and HLA-DMA. Moreover, qRT-PCR and immunohistochemistry analysis further validated the upregulation of four prognostic markers in GBM tissues. Conclusions Analysis of multiple datasets combined with global network information and experimental verification presents a successful approach to uncover the risk hub genes and prognostic markers of GBM. Our study identified four risk- and prognostic-related gene signatures, including IFI30, HLA-DMA, P4HB and RCN1. This gene sets contribute a new perspective to improve the diagnostic, prognostic, and therapeutic outcomes of GBM.
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Affiliation(s)
- Xiaofeng Yin
- Department of Neurosurgery, Second Hospital of Shanxi Medical University, No.382 Wuyi Road, Taiyuan, 030000, Shanxi, China
| | - Quansheng Wu
- Department of Neurosurgery, Second Hospital of Shanxi Medical University, No.382 Wuyi Road, Taiyuan, 030000, Shanxi, China
| | - Zheng Hao
- Department of Neurosurgery, Second Hospital of Shanxi Medical University, No.382 Wuyi Road, Taiyuan, 030000, Shanxi, China
| | - Laizhao Chen
- Department of Neurosurgery, Second Hospital of Shanxi Medical University, No.382 Wuyi Road, Taiyuan, 030000, Shanxi, China.
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12
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Sauerer T, Lischer C, Weich A, Berking C, Vera J, Dörrie J. Single-Molecule RNA Sequencing Reveals IFNγ-Induced Differential Expression of Immune Escape Genes in Merkel Cell Polyomavirus-Positive MCC Cell Lines. Front Microbiol 2021; 12:785662. [PMID: 35003017 PMCID: PMC8727593 DOI: 10.3389/fmicb.2021.785662] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 11/18/2021] [Indexed: 12/15/2022] Open
Abstract
Merkel cell carcinoma (MCC) is a rare and highly aggressive cancer, which is mainly caused by genomic integration of the Merkel cell polyomavirus and subsequent expression of a truncated form of its large T antigen. The resulting primary tumor is known to be immunogenic and under constant pressure to escape immune surveillance. Because interferon gamma (IFNγ), a key player of immune response, is secreted by many immune effector cells and has been shown to exert both anti-tumoral and pro-tumoral effects, we studied the transcriptomic response of MCC cells to IFNγ. In particular, immune modulatory effects that may help the tumor evade immune surveillance were of high interest to our investigation. The effect of IFNγ treatment on the transcriptomic program of three MCC cell lines (WaGa, MKL-1, and MKL-2) was analyzed using single-molecule sequencing via the Oxford Nanopore platform. A significant differential expression of several genes was detected across all three cell lines. Subsequent pathway analysis and manual annotation showed a clear upregulation of genes involved in the immune escape of tumor due to IFNγ treatment. The analysis of selected genes on protein level underlined our sequencing results. These findings contribute to a better understanding of immune escape of MCC and may help in clinical treatment of MCC patients. Furthermore, we demonstrate that single-molecule sequencing can be used to assess characteristics of large eukaryotic transcriptomes and thus contribute to a broader access to sequencing data in the community due to its low cost of entry.
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Affiliation(s)
- Tatjana Sauerer
- RNA-based Immunotherapy, Hautklinik, Comprehensive Cancer Center Erlangen European Metropolitan Area of Nuremberg, Deutsches Zentrum Immuntherapie, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Christopher Lischer
- Systems Tumor Immunology, Hautklinik, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Comprehensive Cancer Center Erlangen European Metropolitan Area of Nuremberg, Deutsches Zentrum Immuntherapie, Erlangen, Germany
| | - Adrian Weich
- Systems Tumor Immunology, Hautklinik, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Comprehensive Cancer Center Erlangen European Metropolitan Area of Nuremberg, Deutsches Zentrum Immuntherapie, Erlangen, Germany
| | - Carola Berking
- Hautklinik, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Comprehensive Cancer Center Erlangen European Metropolitan Area of Nuremberg, Deutsches Zentrum Immuntherapie, Erlangen, Germany
| | - Julio Vera
- Systems Tumor Immunology, Hautklinik, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Comprehensive Cancer Center Erlangen European Metropolitan Area of Nuremberg, Deutsches Zentrum Immuntherapie, Erlangen, Germany
| | - Jan Dörrie
- RNA-based Immunotherapy, Hautklinik, Comprehensive Cancer Center Erlangen European Metropolitan Area of Nuremberg, Deutsches Zentrum Immuntherapie, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
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13
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Jiang W, Zheng F, Yao T, Gong F, Zheng W, Yao N. IFI30 as a prognostic biomarker and correlation with immune infiltrates in glioma. ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:1686. [PMID: 34988195 PMCID: PMC8667103 DOI: 10.21037/atm-21-5569] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 11/12/2021] [Indexed: 12/25/2022]
Abstract
Background Increased evidence indicates that the tumour microenvironment (TME) plays an essential role in the development, treatment and prognosis of glioma. High expression of interferon-gamma-inducible protein 30 (IFI30) is associated with the malignant phenotype, but the effect of IFI30 on the tumour immune microenvironment and its potential role in the carcinogenesis of glioma remain unknown. Methods The RNA sequencing (RNA-seq) data of 33 types of human cancer were obtained from The Cancer Genome Atlas (TCGA) Genomic Data Commons (GDC). R software was used to perform analyses, such as the expression of IFI30 in pan-cancer, evaluation of IFI30 as a prognostic biomarker in glioma, the relationship between IFI30 expression and clinical characteristics, and immune checkpoint. TIMER was used to analyse the correlation of IFI30 expression level with immune cell infiltration, and also to conduct survival analysis for immune cells and IFI30 in low grade glioma (LGG). DAVID was used for Gene Ontology (GO) functional annotations and Kyoto Encyclopedia of Genes and Genomes (KEGG) for pathway analysis of the genes similar to IFI30 in glioma. The differentially expressed genes (DEGs) between the high- and low-IFI30 expression groups were determined by DESeq2. Gene set enrichment analysis (GSEA) was then conducted to identify IFI30-related functional significance based on the hallmark gene set. Results Dysregulated expression of IFI30 was associated with human cancers. High IFI30 expression was associated with poor overall survival (OS), disease-specific survival (DSS) and progression-free interval (PFI). Univariate and multivariate analyses identified IFI30 as an independent predictor for glioma. Meanwhile, IFI30 overexpression significantly correlated with high-grade tumours, poor OS, and immune infiltration. In addition, IFI30-associated genes significantly enriched the hallmark tumour progression-related clusters and cancer pathways. Conclusions IFI30 is a prognostic biomarker correlated with immune infiltrates and acts as an oncogene in glioma.
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Affiliation(s)
- Wei Jiang
- Department of Neurology, the Second People's Hospital of Wuxi, Wuxi, China
| | - Feifei Zheng
- Department of Laboratory Medicine, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Taotao Yao
- Rehabilitation Center, the First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, China
| | - Fang Gong
- Department of Laboratory Medicine, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Wenjie Zheng
- Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, China
| | - Ninghua Yao
- Department of Oncology, Affiliated Hospital of Nantong University, Nantong, China
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14
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Ye C, Zhou W, Wang F, Yin G, Zhang X, Kong L, Gao Z, Feng M, Zhou C, Sun D, Wang L, Liu L, Zheng C, Xiang Y, Guo M, Huang S, Yu Z. Prognostic value of gamma-interferon-inducible lysosomal thiol reductase expression in female patients diagnosed with breast cancer. Int J Cancer 2021; 150:705-717. [PMID: 34648659 DOI: 10.1002/ijc.33843] [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] [Received: 08/23/2021] [Accepted: 10/01/2021] [Indexed: 12/25/2022]
Abstract
Because of the high heterogeneity of breast cancer outcome, identification of novel prognostic biomarkers is critical to improve patient stratification and guide precise treatment. We examined the prognostic value of gamma-interferon-inducible lysosomal thiol reductase (GILT) expression in a training set of 416 breast cancer patients and a validation set of 210 patients, and performed functional studies to investigate the functions and underlying mechanisms of GILT on breast cancer prognosis. Our results indicated that high GILT expression in breast cancer cells was associated with improved disease-free survival (DFS; hazard ratio [HR] = 0.189, 95% confidence interval [CI]: 0.099-0.361) and breast cancer-specific survival (BCSS; HR = 0.187, 95% CI: 0.080-0.437) of breast cancer patients both in the training set and the external validation set (HR = 0.453, 95% CI: 0.235-0.873 for DFS, HR = 0.488, 95% CI: 0.245-0.970 for BCSS). In vitro and in vivo studies showed that GILT overexpression inhibited breast cancer cells proliferation, invasion, migration and tumor formation in nude mice and increased sensitivity of breast cancer cells to standard treatment. Proteomics analysis indicated that GILT inhibited reactive oxygen species (ROS) and autophagy activation in breast cancer cells, and GILT overexpression-mediated tumor growth was further enhanced in the presence of autophagy or ROS inhibitors. Our results demonstrate that GILT expression can be effectively used to predict the prognosis and guide treatment strategies of breast cancer patients.
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Affiliation(s)
- Chunmiao Ye
- School of Medicine, Cheeloo College of Medicine, Shandong University, Jinan, China.,Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Wenzhong Zhou
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.,Institute of Translational Medicine of Breast Disease Prevention and Treatment, Shandong University, Jinan, China.,Shandong Provincial Engineering Laboratory of Translational Research on Prevention and Treatment of Breast Disease, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Fei Wang
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.,Institute of Translational Medicine of Breast Disease Prevention and Treatment, Shandong University, Jinan, China.,Shandong Provincial Engineering Laboratory of Translational Research on Prevention and Treatment of Breast Disease, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Gengshen Yin
- School of Medicine, Cheeloo College of Medicine, Shandong University, Jinan, China.,Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Xiaoxia Zhang
- Department of Thyroid and Breast Surgery, Linyi People's Hospital, Linyi, China
| | - Lingyu Kong
- Department of Breast Surgery, Linyi Cancer Hospital, Linyi, China
| | - Zhongcheng Gao
- Department of Thyroid and Breast Surgery, Linyi People's Hospital, Linyi, China
| | - Man Feng
- Department of Pathology, The Third Affiliated Hospital of Shandong First Medical University, Jinan, China
| | - Chengjun Zhou
- Department of Pathology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Dianshui Sun
- Cancer Center, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Lei Wang
- Department of Oncology, Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Liyuan Liu
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.,Institute of Translational Medicine of Breast Disease Prevention and Treatment, Shandong University, Jinan, China.,Shandong Provincial Engineering Laboratory of Translational Research on Prevention and Treatment of Breast Disease, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Chao Zheng
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.,Institute of Translational Medicine of Breast Disease Prevention and Treatment, Shandong University, Jinan, China.,Shandong Provincial Engineering Laboratory of Translational Research on Prevention and Treatment of Breast Disease, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Yujuan Xiang
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.,Institute of Translational Medicine of Breast Disease Prevention and Treatment, Shandong University, Jinan, China.,Shandong Provincial Engineering Laboratory of Translational Research on Prevention and Treatment of Breast Disease, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Mingming Guo
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.,Institute of Translational Medicine of Breast Disease Prevention and Treatment, Shandong University, Jinan, China.,Shandong Provincial Engineering Laboratory of Translational Research on Prevention and Treatment of Breast Disease, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Shuya Huang
- School of Medicine, Cheeloo College of Medicine, Shandong University, Jinan, China.,Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.,Institute of Translational Medicine of Breast Disease Prevention and Treatment, Shandong University, Jinan, China.,Shandong Provincial Engineering Laboratory of Translational Research on Prevention and Treatment of Breast Disease, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Zhigang Yu
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.,Institute of Translational Medicine of Breast Disease Prevention and Treatment, Shandong University, Jinan, China.,Shandong Provincial Engineering Laboratory of Translational Research on Prevention and Treatment of Breast Disease, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
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15
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Wei D, Shen S, Lin K, Lu F, Zheng P, Wu S, Kang D. NPC2 as a Prognostic Biomarker for Glioblastoma Based on Integrated Bioinformatics Analysis and Cytological Experiments. Front Genet 2021; 12:611442. [PMID: 33777094 PMCID: PMC7990766 DOI: 10.3389/fgene.2021.611442] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 02/08/2021] [Indexed: 12/31/2022] Open
Abstract
Glioblastoma (GBM) is one of the most common and fatal malignancies worldwide, while its prognostic biomarkers are still being explored. This study aims to identify potential genes with clinical and prognostic significance by integrating bioinformatics analysis and investigating their function in HNSCC. Based on the Single-cell RNA sequencing (scRNA-seq) results of H3K27M-glioma cells, computational bioinformatics methods were employed for selecting prognostic biomarker for GBM. The protein NPC2 (NPC Intracellular Cholesterol Transporter 2), which has been shown to be related to lipoprotein metabolism and innate immune system, was identified to be upregulated in GBM. NPC2 showed a relatively higher expression in GBM samples, and a negative correlation with tumor purity and tumor infiltrating immune cells. Additionally, NPC2 was knocked down in U87-MG and U251 cells line, and cell proliferation and migration capability were evaluated with CCK-8, scratch and transwell assay, respectively. Cytological experiments has shown that NPC2 overexpression inhibited GBM cells proliferation and migration, indicating its important role in GBM progression. This is the first investigation into the prognostic value of NPC2 interact with GBM. The potential molecular factor NPC2 have been identified as a prognostic biomarker for GBM.
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Affiliation(s)
- De Wei
- Department of Neurosurgery, Fujian Provincial Hospital South Branch, Fuzhou, China.,Department of Neurosurgery, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China.,Department of Neurosurgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Shanghang Shen
- Department of Neurosurgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kun Lin
- Department of Neurosurgery, Fujian Provincial Hospital South Branch, Fuzhou, China.,Department of Neurosurgery, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Feng Lu
- Department of Neurosurgery, Fujian Provincial Hospital South Branch, Fuzhou, China.,Department of Neurosurgery, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Pengfeng Zheng
- Department of Neurosurgery, Fujian Provincial Hospital South Branch, Fuzhou, China.,Department of Neurosurgery, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Shizhong Wu
- Department of Neurosurgery, Fujian Provincial Hospital South Branch, Fuzhou, China.,Department of Neurosurgery, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Dezhi Kang
- Department of Neurosurgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
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16
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Fan Y, Wang X, Li Y. IFI30 expression predicts patient prognosis in breast cancer and dictates breast cancer cells proliferation via regulating autophagy. Int J Med Sci 2021; 18:3342-3352. [PMID: 34400904 PMCID: PMC8364447 DOI: 10.7150/ijms.62870] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 07/19/2021] [Indexed: 01/04/2023] Open
Abstract
Introduction: Incidence and mortality rates of breast cancer are increasing in women worldwide. Immunotherapy is a relatively popular treatment modality for all malignant tumors including breast cancer in recent years. Interferon γ-inducible protein 30 (IFI30) could catalyze the reduction of disulfide bonds and enhance major histocompatibility complex (MHC) class II-restricted antigen processing. Recent studies showed that IFI30 played an important role in the immune response of malignant tumors. Methods: The Cancer Genome Atlas (TCGA) database and clinical proteomic tumor Analysis consortium (CPTAC) database were applied to predict the role of IFI30 in breast cancer and the relationship between IFI30 and prognosis of breast cancer patients. Then we detected the expression of IFI30 in clinical samples of breast cancer patients, and analyzed the relationship between IFI30 and the prognosis of breast cancer patients. We used lentivirus infection method to construct a stable IFI30 knockdown cell line, and detected the effect of IFI30 in breast cancer cells. Nude mice tumor bearing experiment was performed to investigate the effect of IFI30 on breast cancer cells in vivo. Western blot was used to verify the regulation of autophagy related protein LC3 and p62 by IFI30. Results: We found that IFI30 was highly expressed in breast cancer tissues and was associated with poor outcome of patients. The knockdown of IFI30 could inhibit the proliferation, migration and invasion of breast cancer cells and significantly inhibit tumor growth in vivo. Increased accumulation of LC3-II and p62 suggested impaired autophagy in IFI30 knockdown cells. Discussion: As a result, we suggested that IFI30 might play a key role in the initiation and progression of human breast cancer and might be a new therapeutic target in breast cancer.
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Affiliation(s)
- Yan Fan
- Department of Pediatrics, The First Affiliated Hospital of China Medical University, No. 155, North Nanjing Street, Heping District, Shenyang , Liaoning, 110001 China
| | - Xu Wang
- Department of Breast Surgery, Department of Surgical Oncology, Research Unit of General Surgery, The First Affiliated Hospital of China Medical University, No. 155, North Nanjing Street, Heping District, Shenyang , Liaoning, 110001 China
| | - Yang Li
- Department of Cell Biology, Key Laboratory of Cell Biology, National Health Commission of the PRC, and Key Laboratory of Medical Cell Biology, Ministry of Education of the PRC, China Medical University, No. 77, Puhe Road, Shenyang North New Area, Shenyang, Liaoning,110122 China
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17
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Liu X, Song C, Yang S, Ji Q, Chen F, Li W. IFI30 expression is an independent unfavourable prognostic factor in glioma. J Cell Mol Med 2020; 24:12433-12443. [PMID: 32969157 PMCID: PMC7686962 DOI: 10.1111/jcmm.15758] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2019] [Revised: 10/24/2019] [Accepted: 08/05/2020] [Indexed: 12/21/2022] Open
Abstract
Gamma-interferon-inducible lysosomal thiol reductase, the only known lysosomal thiol reductase, is encoded by gene IFI30 and expressed constitutively in antigen-presenting cells. Our comprehensive study on IFI30 in gliomas found its expression to be high in glioblastomas and in gliomas with a mesenchymal subtype or wild-type isocitrate dehydrogenase, all of which indicated the malignancy and poor outcomes of gliomas. Kaplan-Meier survival analysis ascertained that high IFI30 expression conferred poor outcomes. The IFI30 expression levels also showed high efficiency in predicting 1-, 3- and 5-year overall survival. Univariable and multivariable Cox regression analyses were performed to define IFI30 as an independent prognostic marker. Biological process analysis suggested that IFI30 was involved in immune responses. ESTIMATE and CIBERSORT were applied to evaluate immune cell infiltration, with results indicating that samples with higher IFI30 expression had higher infiltration of immune cells, including regulatory T cells and M0 macrophages. Correlation analysis showed that IFI30 was significantly positively correlated with immune checkpoints that suppress effective antitumour immune responses. Immunohistochemical staining was also performed to confirm the association between IFI30 expression and the immune phenotype. The suggested correlation between high IFI30 expression and an immunosuppressive phenotype contributes to our knowledge about the glioma microenvironment and might provide clues for the development of novel therapeutic targets.
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Affiliation(s)
- Xiu Liu
- Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Chunyan Song
- Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shoubo Yang
- Department of Neuro-Oncology, Neurosurgery Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Qiang Ji
- Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Feng Chen
- Department of Neuro-Oncology, Neurosurgery Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Wenbin Li
- Department of Neuro-Oncology, Neurosurgery Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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