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Wang Q, Su Z, Zhang J, Yan H, Zhang J. Unraveling the copper-death connection: Decoding COVID-19's immune landscape through advanced bioinformatics and machine learning approaches. Hum Vaccin Immunother 2024; 20:2310359. [PMID: 38468184 PMCID: PMC10936617 DOI: 10.1080/21645515.2024.2310359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 01/23/2024] [Indexed: 03/13/2024] Open
Abstract
This study aims to analyze Coronavirus Disease 2019 (COVID-19)-associated copper-death genes using the Gene Expression Omnibus (GEO) dataset and machine learning, exploring their immune microenvironment correlation and underlying mechanisms. Utilizing GEO, we analyzed the GSE217948 dataset with control samples. Differential expression analysis identified 16 differentially expressed copper-death genes, and Cell type Identification By Estimating Relative Subsets Of RNA Transcripts (CIBERSORT) quantified immune cell infiltration. Gene classification yielded two copper-death clusters, with Weighted Gene Co-expression Network Analysis (WGCNA) identifying key module genes. Machine learning models (random forest, Support Vector Machine (SVM), Generalized Linear Model (GLM), eXtreme Gradient Boosting (XGBoost)) selected 6 feature genes validated by the GSE213313 dataset. Ferredoxin 1 (FDX1) emerged as the top gene, corroborated by Area Under the Curve (AUC) analysis. Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA) revealed enriched pathways in T cell receptor, natural killer cytotoxicity, and Peroxisome Proliferator-Activated Receptor (PPAR). We uncovered differentially expressed copper-death genes and immune infiltration differences, notably CD8 T cells and M0 macrophages. Clustering identified modules with potential implications for COVID-19. Machine learning models effectively predicted COVID-19 risk, with FDX1's pivotal role validated. FDX1's high expression was associated with immune pathways, suggesting its role in COVID-19 pathogenesis. This comprehensive approach elucidated COVID-19-related copper-death genes, their immune context, and risk prediction potential. FDX1's connection to immune pathways offers insights into COVID-19 mechanisms and therapy.
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Affiliation(s)
- Qi Wang
- Department of Respiratory and Critical Care Medicine, The Second Hospital of Jilin University, Changchun, Jilin, China
| | - Zhenzhong Su
- Department of Respiratory and Critical Care Medicine, The Second Hospital of Jilin University, Changchun, Jilin, China
| | - Jing Zhang
- Department of General Gynecology, The First Hospital of Jilin University, Changchun, Jilin, China
| | - He Yan
- Department of Respiratory and Critical Care Medicine, The Second Hospital of Jilin University, Changchun, Jilin, China
| | - Jie Zhang
- Department of Respiratory and Critical Care Medicine, The Second Hospital of Jilin University, Changchun, Jilin, China
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Bai S, Cheng H, Li H, Bo P. Integrated bioinformatics analysis identifies autophagy-associated genes as candidate biomarkers and reveals the immune infiltration landscape in psoriasis. Autoimmunity 2024; 57:2259137. [PMID: 38439147 DOI: 10.1080/08916934.2023.2259137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 09/10/2023] [Indexed: 03/06/2024]
Abstract
Autophagy is implicated in the pathogenesis of psoriasis. We aimed to identify autophagy-related biomarkers in psoriasis via an integrated bioinformatics approach. We downloaded the gene expression profiles of GSE30999 dataset, and the "limma" package was applied to identify differentially expressed genes (DEGs). Then, differentially expressed autophagy-related genes (DEARGs) were identified via integrating autophagy-related genes with DEGs. CytoHubba plugin was used for the identification of hub genes and verified by the GSE41662 dataset. Subsequently, a series of bioinformatics analyses were employed, including protein-protein interaction network, functional enrichment, spearman correlation, receiver operating characteristic, and immune infiltration analyses. One hundred and one DEARGs were identified, and seven DEARGs were identified as hub genes and verified using the GSE41662 dataset. These validated genes had good diagnostic value in distinguishing psoriasis lesions. Immune infiltration analysis indicated that ATG5, SQSTM1, EGFR, MAPK8, MAPK3, MYC, and PIK3C3 were correlated with infiltration of immune cells. Seven DEARGs, namely ATG5, SQSTM1, EGFR, MAPK8, MAPK3, MYC, and PIK3C3, may be involved in the pathogenesis of psoriasis, which expanded the understanding of the development of psoriasis and provided important clinical significance for treatment of this disease.
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Affiliation(s)
- Sixian Bai
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Hongyu Cheng
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Hao Li
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Peng Bo
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
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Fang Z, Fu J, Chen X. A combined immune and exosome-related risk signature as prognostic biomakers in acute myeloid leukemia. Hematology 2024; 29:2300855. [PMID: 38186215 DOI: 10.1080/16078454.2023.2300855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Accepted: 12/19/2023] [Indexed: 01/09/2024] Open
Abstract
OBJECTIVES Acute myeloid leukemia (AML) is one of the common hematological diseases with low survival rates. Studies have highlighted the dysregulated expression of immune-related and exosome-related genes (ERGs) in cancers. Nevertheless, it remains to be determined whether combining these genes have a prognostic significance in AML. METHODS Immune-ERG profiles for 151 AML patients from TCGA were analyzed. A risk model was constructed and optimized through the combination of univariate Cox regression and LASSO regression analysis. GEO datasets were utilized as the external validation for the robustness of the risk model. In addition, we performed KEGG and GO enrichment analyses to investigate the role played by these genes in AML. The variations in immune cell infiltrations among risk groups were assessed through four algorithms. Expression of hub gene in specific cell was analyzed by single-cell RNA seq. RESULTS A total of 85 immune-ERGs associated with prognosis were identified, enabling the construction of a risk model for AML. The risk model based on five immune-ERGs (CD37, NUCB2, LSP1, MGST1, and PLXNB1) demonstrated a correlation with the clinical outcomes. Additionally, age, FAB classification, cytogenetics risk, and risk score were identified as independent prognostic factors. The five immune-ERGs exhibited correlations with cytokine-cytokine receptor interaction, and antigen processing and presentation. Notably, the risk model demonstrated significant associations with immune responses and the expression of immune checkpoints. CONCLUSIONS An immune-ERG-based risk model was developed to effectively predict prognostic outcomes for AML patients. There is potential for immune therapy in AML targeting the five hub genes.
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Affiliation(s)
- Zenghui Fang
- Department of Clinical Laboratory, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, People's Republic of China
| | - Jiali Fu
- Department of Clinical Laboratory, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, People's Republic of China
| | - Xin Chen
- Department of Clinical Laboratory, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, People's Republic of China
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Ding Z, Zhang J, Li L, Wang C, Mei J. Prognostic biomarker HIF1α and its correlation with immune infiltration in gliomas. Oncol Lett 2024; 27:193. [PMID: 38495835 PMCID: PMC10941081 DOI: 10.3892/ol.2024.14326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 12/06/2023] [Indexed: 03/19/2024] Open
Abstract
Certain glioma subtypes, such as glioblastoma multiforme or low-grade glioma, are common malignant intracranial tumors with high rates of relapse and malignant progression even after standard therapy. The overall survival (OS) is poor in patients with gliomas; hence, effective prognostic prediction is crucial. Herein, the present study aimed to explore the potential role of hypoxia-inducible factor 1 subunit alpha (HIF1α) in gliomas and investigate the association between HIF1α and infiltrating immune cells in gliomas. Data from The Cancer Genome Atlas were evaluated via RNA sequencing, clinicopathological, immunological checkpoint, immune infiltration and functional enrichment analyses. Validation of protein abundance was performed using paraffin-embedded samples from patients with glioma. A nomogram model was created to forecast the OS rates at 1, 3 and 5 years after cancer diagnosis. The association between OS and HIF1α expression was estimated using Kaplan-Meier survival analysis and the log-rank test. Finally, HIF1α expression was validated using western blotting, reverse transcription-quantitative PCR, Cell Counting Kit-8 and Transwell assays. The results demonstrated that HIF1α expression was significantly upregulated in gliomas compared with normal human brain glial cells. Immunohistochemistry staining demonstrated differential expression of the HIF1α protein. Moreover, glioma cell viability and migration were inhibited via HIF1α downregulation. HIF1α impacted DNA replication, cell cycling, DNA repair and the immune microenvironment in glioma. HIF1α expression was also positively associated with several types of immune cells and immunological checkpoints and with neutrophils, plasmacytoid dendritic cells and CD56bright cells. The Kaplan-Meier survival analyses further demonstrated a strong association between high HIF1α expression and poor prognosis in patients with glioma. Analysis of the receiver operating characteristic curves demonstrated that HIF1α expression accurately differentiated paired normal brain cells from tumor tissues. Collectively, these findings suggested the potential for HIF1α to be used as a novel prognostic indicator for patients with glioma and that OS prediction models may help in the future to develop effective follow-up and treatment strategies for these patients.
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Affiliation(s)
- Zihan Ding
- Department of Neurosurgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi 330006, P.R. China
| | - Jiaming Zhang
- Department of Pathology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi 330006, P.R. China
| | - Lin Li
- Department of Neurosurgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi 330006, P.R. China
| | - Chunliang Wang
- Department of Neurosurgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi 330006, P.R. China
| | - Jinhong Mei
- Department of Pathology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi 330006, P.R. China
- Institute of Molecular Pathology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi 330006, P.R. China
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Yang K, Zhang Z, Zhang Q, Zhang H, Liu X, Jia Z, Ying Z, Liu W. Potential diagnostic markers and therapeutic targets for periodontitis and Alzheimer's disease based on bioinformatics analysis. J Periodontal Res 2024; 59:366-380. [PMID: 38189472 DOI: 10.1111/jre.13220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 11/02/2023] [Accepted: 11/22/2023] [Indexed: 01/09/2024]
Abstract
BACKGROUND AND OBJECTIVE As a chronic inflammatory disease, periodontitis threatens oral health and is a risk factor for Alzheimer's disease (AD). There is growing evidence that these two diseases are closely related. However, current research is still incomplete in understanding the common genes and common mechanisms between periodontitis and AD. In this study, we aimed to identify common genes in periodontitis and AD and analyze the relationship between crucial genes and immune cells to provide new therapeutic targets for clinical treatment. MATERIALS AND METHODS We evaluated differentially expressed genes (DEGs) specific to periodontitis and AD. Co-expressed genes were identified by obtaining gene expression profile data from the Gene Expression Omnibus (GEO) database. Using the STRING database, protein-protein interaction (PPI) networks were constructed, and essential genes were identified. We also used four algorithms to identify critical genes and constructed regulatory networks. The association of crucial genes with immune cells and potential therapeutic effects was also assessed. RESULTS PDGFRB, VCAN, TIMP1, CHL1, EFEMP2, and IGFBP5 were obtained as crucial common genes. Immune infiltration analysis showed that Natural killer cells and Myeloid-derived suppressor cells were significantly differentially expressed in patients with PD and AD compared with the normal group. FOXC1 and GATA2 are important TFs for PD and AD. MiR-23a, miR-23b, miR-23a, and miR-23b were associated with AD and PD. Finally, the hub genes retrieved from the DSigDB database indicate multiple drug molecule and drug-target interactions. CONCLUSION This study reveals commonalities in common hub genes and immune infiltration between periodontitis and AD, and the analysis of six hub genes and immune cells may provide new insights into potential therapeutic directions for the pathogenesis of periodontitis complicated by AD.
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Affiliation(s)
- Kai Yang
- Acupuncture and Moxibustion Massage College, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Zhaoqi Zhang
- The First Clinical Medical College of Shandong University of Chinese Medicine, Jinan, China
| | - Qingyuan Zhang
- The First Clinical Medical College of Shandong University of Chinese Medicine, Jinan, China
| | - Hongyu Zhang
- Rehabilitation Department, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Xiaoju Liu
- The First Clinical Medical College of Shandong University of Chinese Medicine, Jinan, China
| | - Zhicheng Jia
- The First Clinical Medical College of Shandong University of Chinese Medicine, Jinan, China
| | - Zhenhao Ying
- Rehabilitation Department, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Wei Liu
- Department of Neurology, The Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
- Shandong University of Traditional Chinese Medicine, Jinan, China
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Wang Y, Wang J, Zhang L, He J, Ji B, Wang J, Ding B, Ren M. Unveiling the role of YARS1 in bladder cancer: A prognostic biomarker and therapeutic target. J Cell Mol Med 2024; 28:1-20. [PMID: 38506098 PMCID: PMC10951887 DOI: 10.1111/jcmm.18213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 02/03/2024] [Accepted: 02/16/2024] [Indexed: 03/21/2024] Open
Abstract
YARS is responsible for catalysing the binding of tyrosine to its cognate tRNA and plays a crucial role in basic biosynthesis. However, its biological functions in bladder cancer remains to be proven. We analysed variations in YARS1 expression and survival in bladder cancer using multiple data sets, including TCGA-BLCA, GSE13507 and bladder cancer-specific tissue microarrays. Furthermore, we explored the biological functions of YARS1 using transcriptome data. Our findings revealed a noteworthy correlation between YARS1 and immune infiltration in bladder cancer, as determined using the XCELL algorithm and single-cell analysis. In addition, we employed the TIDE algorithm to evaluate the responsiveness of different cohorts to immune checkpoint therapy. We investigated the regulatory associations between YARS1 and various aspects of bladder cancer, including senescence, ferroptosis and stemness. Finally, we established a ceRNA network that is directly linked to the overall prognosis, YARS1 can serve as a prognostic biomarker for bladder cancer; its interaction with MYC has implications for bladder cancer cell senescence, ferroptosis and stemness. Moreover, the identified ceRNA network has potential as a therapeutic target in bladder cancer.
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Affiliation(s)
- YaXuan Wang
- Department of UrologyThe First Affiliated Hospital of Harbin Medical UniversityHarbinChina
| | - Jinfeng Wang
- Department of UrologyThe First Affiliated Hospital of Harbin Medical UniversityHarbinChina
| | - Lu Zhang
- Department of UrologyThe First Affiliated Hospital of Harbin Medical UniversityHarbinChina
| | - JiaXing He
- Department of UrologyThe First Affiliated Hospital of Harbin Medical UniversityHarbinChina
| | - Bo Ji
- Department of UrologyThe First Affiliated Hospital of Harbin Medical UniversityHarbinChina
| | - JianShe Wang
- Department of UrologyThe First Affiliated Hospital of Harbin Medical UniversityHarbinChina
| | - BeiChen Ding
- Department of UrologyThe First Affiliated Hospital of Harbin Medical UniversityHarbinChina
| | - MingHua Ren
- Department of UrologyThe First Affiliated Hospital of Harbin Medical UniversityHarbinChina
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Xiong J, Liang H, Sun X, Gao K. Histone modification-linked prognostic model for ovarian cancer reveals LBX2 as a novel growth promoter. J Cell Mol Med 2024; 28:e18260. [PMID: 38520216 PMCID: PMC10960176 DOI: 10.1111/jcmm.18260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 02/23/2024] [Accepted: 03/07/2024] [Indexed: 03/25/2024] Open
Abstract
Ovarian cancer (OC) is a deadly disease with limited treatment options and poor overall survival rates. This study aimed to investigate the role of histone modification-related genes in predicting the prognosis of OC patients. Transcriptome data from multiple cohorts, including bulk RNA-Seq data and single-cell scRNA-Seq data, were collected. Gene set enrichment analysis was used to identify enriched gene sets in the histone modification pathway. Differentially expressed genes (DEGs) between histone modification-high and histone modification-low groups were identified using Lasso regression. A prognostic model was constructed using five selected prognostic genes from the DEGs in the TCGA-OV cohort. The study found enrichment of gene sets in the histone modification pathway and identified five prognostic genes associated with OC prognosis. The constructed risk score model based on histone modification-related genes was correlated with immune infiltration of T cells and M1 macrophages. Mutations are more prevalent in the high-risk group compared to the low-risk group. Several drugs were screened against the model genes. Through in vitro experiments, we confirmed the expression patterns of the model genes. LBX2 facilitates the proliferation of OC. Histone modification-related genes have the potential to serve as biomarkers for predicting OC prognosis. Targeting these genes may lead to the development of more effective therapies for OC. Additionally, LBX2 represents a novel cell proliferation promoter in OC carcinogenesis.
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Affiliation(s)
- Jian Xiong
- Department of Obstetrics and Gynecology, Guangzhou Women and Children's Medical CenterGuangzhou Medical UniversityGuangzhouChina
| | - Hongyuan Liang
- Department of RadiologyShengjing Hospital of China Medical UniversityShenyangChina
| | - Xiang Sun
- Department of Obstetrics and Gynecology, Guangzhou Women and Children's Medical CenterGuangzhou Medical UniversityGuangzhouChina
| | - Kefei Gao
- Department of Obstetrics and Gynecology, Guangzhou Women and Children's Medical CenterGuangzhou Medical UniversityGuangzhouChina
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Hong H, Shi X, Ou W, Ou P. Prognostic biomarker CPEB3 and its associations with immune infiltration in clear cell renal cell carcinoma. Biomed Rep 2024; 20:63. [PMID: 38476610 PMCID: PMC10928475 DOI: 10.3892/br.2024.1751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 01/17/2024] [Indexed: 03/14/2024] Open
Abstract
The role and underlying mechanism of cytoplasmic polyadenylation element binding protein 3 (CPEB3) in clear cell renal cell carcinoma [ccRCC progression remain poorly characterized. The present study was designed to evaluate the role of CPEB3 in ccRCC and its clinical associations. The overall response rate of first-line therapies (ICIs combined with VEGFR-TKIs or ICI combination) for ccRCC] is 42.0-59.3%, so a number of patients with ccRCC do not benefit from these therapies. To avoid immunosurveillance and immune killing, tumor cells decrease immunogenicity and recruit immunosuppressive cells such as regulatory T cells (Tregs). Tregs inhibit the development of anti-tumor immunity, thereby hindering immune surveillance of cancer and preventing effective anti-tumor immune response in tumor-bearing hosts. The present study analyzed clinical specimens from patients ccRCC and then examined the role of CPEB3 in ccRCC via bioinformatics analysis. CPEB3 expression was significantly reduced in ccRCC compared with normal tissue and low CPEB3 expression was associated with poor overall survival. Moreover, CPEB3 expression was an independent predictor of survival. CPEB3 expression was positively associated with immune biomarkers [CD274, programmed cell death 1 ligand 2, Hepatitis a virus cellular receptor 2, Chemokine (C-X-C motif) ligand (CXCL)9, CXCL10, Inducible T cell costimulatory, CD40, CD80 and CD38] that improve the outcome of anti-tumor immune responses. CPEB3 expression in ccRCC also affected the status of 24 types of infiltrating immune cell, of which Tregs were the most significantly negatively correlated cell type. CPEB3 may serve as a prognostic biomarker in ccRCC and its mechanism may be related to the regulation of Tregs.
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Affiliation(s)
- Hualan Hong
- Department of Medical Oncology, Cancer Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350000, P.R. China
- Department of Medical Oncology, National Regional Medical Center, Binhai Campus of The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350000, P.R. China
| | - Xi Shi
- Department of Medical Oncology, Cancer Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350000, P.R. China
- Department of Medical Oncology, National Regional Medical Center, Binhai Campus of The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350000, P.R. China
| | - Wenyong Ou
- Department of Surgery 1, Longyan People Hospital, Longyan, Fujian 364000, P.R. China
| | - Pengju Ou
- Department of Medical Oncology, Cancer Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350000, P.R. China
- Department of Medical Affairs, Guangzhou Lupeng Pharmaceutical Co., Ltd. Guangzhou, Guangdong 510000, P.R. China
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Liu B, Zhang X, Liu Z, Pan H, Yang H, Wu Q, Lv Y, Shen T. A novel model for predicting prognosis in patients with idiopathic pulmonary fibrosis based on endoplasmic reticulum stress-related genes. Cell Biol Int 2024; 48:483-495. [PMID: 38238919 DOI: 10.1002/cbin.12121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 12/08/2023] [Accepted: 12/21/2023] [Indexed: 03/13/2024]
Abstract
Idiopathic pulmonary fibrosis (IPF) is a progressive fibrotic disease of unknown pathogenic origin. Endoplasmic reticulum (ER) stress refers to the process by which cells take measures to ER function when the morphology and function of the reticulum are changed. Recent studies have demonstrated that the ER was involved in the evolution and progression of IPF. In this study, we obtained transcriptome data and relevant clinical information from the Gene Expression Omnibus database and conducted bioinformatics analysis. Among the 544 ER stress-related genes (ERSRGs), 78 were identified as differentially expressed genes (DEGs). These DEGs were primarily enriched in response to ER stress, protein binding, and protein processing. Two genes (HTRA2 and KTN1) were included for constructing an accurate molecular signature. The overall survival of patients was remarkably worse in the high-risk group than in the low-risk group. We further analyzed the difference in immune cells between high-risk and low-risk groups. M0 and M2 macrophages were significantly increased in the high-risk group. Our results suggested that ERSRGs might play a critical role in the development of IPF by regulating the immune microenvironment in the lungs, which provide new insights on predicting the prognosis of patients with IPF.
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Affiliation(s)
- Bin Liu
- Department of Medical Aspects of Specifc Environments, School of Basic Medicine, Anhui Medical University, Hefei, China
| | - Xiang Zhang
- Department of Occupational Health and Environment Health, School of Public Health, Anhui Medical University, Hefei, China
| | - Zikai Liu
- Department of Occupational Health and Environment Health, School of Public Health, Anhui Medical University, Hefei, China
| | - Haihong Pan
- Department of Occupational Health and Environment Health, School of Public Health, Anhui Medical University, Hefei, China
| | - Hongxu Yang
- Department of Occupational Health and Environment Health, School of Public Health, Anhui Medical University, Hefei, China
| | - Qing Wu
- Department of Occupational Health and Environment Health, School of Public Health, Anhui Medical University, Hefei, China
| | - Yan Lv
- Department of Occupational Health and Environment Health, School of Public Health, Anhui Medical University, Hefei, China
| | - Tong Shen
- Department of Occupational Health and Environment Health, School of Public Health, Anhui Medical University, Hefei, China
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Wang SX, Xie XH. Identification of a novel signature based on M6a modification regulators related LncRNA for stratification of the prognosis of prostate cancer. Environ Toxicol 2024; 39:2340-2349. [PMID: 38156438 DOI: 10.1002/tox.24114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 12/07/2023] [Accepted: 12/11/2023] [Indexed: 12/30/2023]
Abstract
Prostate cancer emerges as a life-threatening disease that affects approximately 1.3 million patients of male population globally. Various studies established lncRNAs as a critical role in prostate cancer progression by regulating multiple epigenetic pathways. Therefore, it is imperative to disclose the involvement of lncRNAs in prostate cancer and their usability as prognostic markers for the disease. The model was constructed using Cox and LASSO analysis. The accuracy of model was evaluated using various cohorts. Furthermore, the study assessed the correlative relationship of the model with tumor immunity, immunotherapy, SNV mutation, and drug sensitivity, among other factors. We developed an accurate and stable prognostic model for prostate cancer patients by screening out 11 m6A regulators related lncRNAs and integrating pathological features and age through a nomogram model. The model had satisfactory accuracy and stability in stratification of clinical outcomes of prostate cancer patients, as demonstrated by AUC values (higher than 0.7) at 3, 5, and 7 years in both internal and external cohorts. Moreover, we performed PCA analysis to confirm m6A-related lncRNAs as the best modeling strategy. We developed a prognosis predicting model based on 11 selected m6A modification related lncRNA, which displayed satisfactory potency in multiple cohorts.
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Affiliation(s)
- Sheng-Xiong Wang
- Department of Urology, Children's Hospital, Capital Institute of Pediatrics, Beijing, China
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Xiang-Hui Xie
- Department of Urology, Children's Hospital, Capital Institute of Pediatrics, Beijing, China
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Liang S, Zheng YY, Pan Y. Blood transcriptome analysis uncovered COVID-19-myocarditis crosstalk. Microb Pathog 2024; 189:106587. [PMID: 38373644 DOI: 10.1016/j.micpath.2024.106587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 02/07/2024] [Accepted: 02/15/2024] [Indexed: 02/21/2024]
Abstract
BACKGROUND The condition of COVID-19-related myocarditis has emerged as a prominent contributor to COVID-19 mortality. As the epidemic persists, its incidence continues to rise. Despite ongoing efforts, the elucidation of COVID-19-related myocarditis underlying molecular mechanisms still requires further investigation. METHODS Hub genes for COVID-19-related myocarditis were screened by integrating gene expression profile analysis via differential expression in COVID-19 (GSE196822) and myocarditis (GSE148153 and GSE147517). After verification with independent datasets (GSE211979, GSE167028, GSE178491 and GSE215865), the hub genes were studied using a range of systems-biology approaches, such as ceRNA, TF-mRNA networks and PPI networks, as well as gene ontology, pathway enrichment, immune infiltration analysis and drug target identification. RESULTS TBKBP1 and ERGIC1 were identified as COVID-19-related myocarditis hub genes via integrated bioinformatics analysis. In addition, receiver operating characteristic curves constructed based on the expression levels of TBKBP1 and ERGIC1 could effectively distinguish healthy control individuals from patients with COVID-19. Functional enrichment analysis suggested several enriched biological pathways related to inflammation and immune response. Immune cell changes correlated with TBKBP1 and ERGIC1 levels in patients with COVID-19 or patients with COVID-19 and myocarditis. Tamibarotene, methotrexate and theophylline were identified as a potential drug targeting TBKBP1 and ERGIC1. CONCLUSION TBKBP1 and ERGIC1 were identified as crucial genes in the development of COVID-19-related myocarditis and have demonstrated a strong association with innate antiviral immunity. The present work may be helpful for further investigation of the molecular mechanisms and new therapeutic drug targets correlated with myocarditis in COVID-19.
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Affiliation(s)
- Shuang Liang
- Pharmacy Department, Hebei Medical University Third Hospital, Shijiazhuang, 050000, China.
| | - Ying-Ying Zheng
- Pharmacy Department, Hebei Medical University Third Hospital, Shijiazhuang, 050000, China
| | - Ying Pan
- Pharmacy Department, Hebei Medical University Third Hospital, Shijiazhuang, 050000, China
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Li C, Su Z, Su W, Wang Q, Wang S, Li Z. Profiling of immune infiltration landscape of ruptured intracranial aneurysm. Medicine (Baltimore) 2024; 103:e37523. [PMID: 38518032 PMCID: PMC10957028 DOI: 10.1097/md.0000000000037523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 02/15/2024] [Indexed: 03/24/2024] Open
Abstract
BACKGROUND Previous research has indicated that the rupture of intracranial aneurysm (IA) is a significant contributor to mortality from stroke. The objective of this present study was to examine the infiltration patterns in ruptured intracranial aneurysm (RIA), with the aim of generating insights that could inform the development of effective immunotherapeutic approaches. METHODS To achieve this, we obtained Gene Expression Omnibus datasets pertaining to ruptured aneurysms, encompassing a total of 19 unruptured intracranial aneurysms (UIA) and 27 RIA. Subsequently, we conducted differential gene analysis and immune cell analysis specifically for the RIA. RESULTS According to the conducted studies, the analysis has identified 10 hub genes within key modules. Through the utilization of Kyoto Encyclopedia of Genes and Genomes pathway and gene ontology terms analyses, it has been established that genes exhibiting differential expression are associated with immune cell infiltration in the aneurysm wall. Furthermore, the implementation of the CIBERSORT algorithm has revealed that there are 22 distinct immune cells between RIA and tissues of UIA. IA samples contained a higher proportion of macrophages M1, mast cells resting, and CD4 naive T cells, while macrophages M0 and neutrophils were relatively lower in RIA compared with those in UIA. CONCLUSION The current study initially identified highly conservative hub genes and immune cell infiltration patterns in IA. Data presented in the current study improved understanding of immune genes that drive IA which can be exploited in development of effective immunotherapies.
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Affiliation(s)
- Chenglong Li
- Department of Neurosurgery, Binzhou Medical University Hospital, Binzhou, China
| | - Zhe Su
- The First School of Clinical Medicine of Binzhou Medical University, Binzhou, China
| | - Wenjing Su
- Department of Radiology, Binzhou Medical University Hospital, Binzhou, China
| | - Qingbo Wang
- Department of Neurosurgery, Binzhou Medical University Hospital, Binzhou, China
| | - Shuangquan Wang
- Department of Neurosurgery, Binzhou Medical University Hospital, Binzhou, China
| | - Zefu Li
- Department of Neurosurgery, Binzhou Medical University Hospital, Binzhou, China
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Mei J, Cai Y, Xu R, Li Q, Chu J, Luo Z, Sun Y, Shi Y, Xu J, Li D, Liang S, Jiang Y, Liu J, Qian Z, Zhou J, Wan M, Yang Y, Zhu Y, Zhang Y, Yin Y. Conserved immuno-collagenic subtypes predict response to immune checkpoint blockade. Cancer Commun (Lond) 2024. [PMID: 38507505 DOI: 10.1002/cac2.12538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 03/06/2024] [Accepted: 03/10/2024] [Indexed: 03/22/2024] Open
Abstract
BACKGROUND Immune checkpoint blockade (ICB) has revolutionized the treatment of various cancer types. Despite significant preclinical advancements in understanding mechanisms, identifying the molecular basis and predictive biomarkers for clinical ICB responses remains challenging. Recent evidence, both preclinical and clinical, underscores the pivotal role of the extracellular matrix (ECM) in modulating immune cell infiltration and behaviors. This study aimed to create an innovative classifier that leverages ECM characteristics to enhance the effectiveness of ICB therapy. METHODS We analyzed transcriptomic collagen activity and immune signatures in 649 patients with cancer undergoing ICB therapy. This analysis led to the identification of three distinct immuno-collagenic subtypes predictive of ICB responses. We validated these subtypes using the transcriptome data from 9,363 cancer patients from The Cancer Genome Atlas (TCGA) dataset and 1,084 in-house samples. Additionally, novel therapeutic targets were identified based on these established immuno-collagenic subtypes. RESULTS Our categorization divided tumors into three subtypes: "soft & hot" (low collagen activity and high immune infiltration), "armored & cold" (high collagen activity and low immune infiltration), and "quiescent" (low collagen activity and immune infiltration). Notably, "soft & hot" tumors exhibited the most robust response to ICB therapy across various cancer types. Mechanistically, inhibiting collagen augmented the response to ICB in preclinical models. Furthermore, these subtypes demonstrated associations with immune activity and prognostic predictive potential across multiple cancer types. Additionally, an unbiased approach identified B7 homolog 3 (B7-H3), an available drug target, as strongly expressed in "armored & cold" tumors, relating with poor prognosis. CONCLUSION This study introduces histopathology-based universal immuno-collagenic subtypes capable of predicting ICB responses across diverse cancer types. These findings offer insights that could contribute to tailoring personalized immunotherapeutic strategies for patients with cancer.
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Affiliation(s)
- Jie Mei
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P. R. China
- The First Clinical Medicine College, Nanjing Medical University, Nanjing, Jiangsu, P. R. China
| | - Yun Cai
- Departments of Gynecology, Wuxi Maternal and Child Health Care Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, P. R. China
| | - Rui Xu
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P. R. China
- The First Clinical Medicine College, Nanjing Medical University, Nanjing, Jiangsu, P. R. China
| | - Qing Li
- Departments of Oncology, Xuzhou Central Hospital, The Xuzhou School of Clinical Medicine of Nanjing Medical University, Xuzhou, Jiangsu, P. R. China
| | - Jiahui Chu
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P. R. China
- The First Clinical Medicine College, Nanjing Medical University, Nanjing, Jiangsu, P. R. China
| | - Zhiwen Luo
- Department of Sports Medicine, Huashan Hospital Affiliated to Fudan University, Shanghai, P. R. China
| | - Yaying Sun
- Department of Sports Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
| | - Yuxin Shi
- Departments of Oncology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, P. R. China
| | - Junying Xu
- Departments of Oncology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, P. R. China
| | - Di Li
- Shanghai Outdo Biotech Co., Ltd., National Engineering Center for Biochip, Shanghai, P. R. China
| | - Shuai Liang
- Departments of Oncology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, P. R. China
| | - Ying Jiang
- Departments of Gynecology, Wuxi Maternity and Child Health Care Hospital, Affiliated Women's Hospital of Jiangnan University, Wuxi, Jiangsu, P. R. China
| | - Jiayu Liu
- Departments of Gynecology, Wuxi Maternity and Child Health Care Hospital, Affiliated Women's Hospital of Jiangnan University, Wuxi, Jiangsu, P. R. China
| | - Zhiwen Qian
- Departments of Gynecology, Wuxi Maternal and Child Health Care Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, P. R. China
| | - Jiaofeng Zhou
- Department of Physiology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, P. R. China
| | - Mengyun Wan
- Department of Physiology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, P. R. China
| | - Yunlong Yang
- Department of Cellular and Genetic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai, P. R. China
| | - Yichao Zhu
- Department of Physiology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, P. R. China
| | - Yan Zhang
- Departments of Gynecology, Wuxi Maternal and Child Health Care Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, P. R. China
- Departments of Gynecology, Wuxi Maternity and Child Health Care Hospital, Affiliated Women's Hospital of Jiangnan University, Wuxi, Jiangsu, P. R. China
| | - Yongmei Yin
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P. R. China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu, P. R. China
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Chen J, Zhu H, Chen S, Mi H. Apolipoprotein E is a Potential Biomarker for Predicting Cancer Prognosis and is Correlated with Immune Infiltration. Onco Targets Ther 2024; 17:199-214. [PMID: 38523659 PMCID: PMC10960509 DOI: 10.2147/ott.s447319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 03/12/2024] [Indexed: 03/26/2024] Open
Abstract
Background Apolipoprotein E (APOE) is a polymorphic protein that plays a role in lipoprotein transformation and metabolism. It is involved in numerous physiological processes within the body and is closely associated with tumor growth and metastasis. However, the role of APOE in pan-cancer has yet to be evaluated. Therefore, studying the association between APOE and various cancer types is crucial for providing a basis for individualized treatment strategies and clinical prognosis assessment. Methods We investigated the diagnostic and prognostic significance of APOE across 33 tumor types, as well as its correlation with tumor mutation burden (TMB) and microsatellite instability (MSI). Additionally, we employed the ESTIMATE and CIBERSORT algorithms to analyze the potential impact of APOE on the immune system. Furthermore, gene set enrichment analysis (GSEA) was conducted to explore its underlying physiological function. Results Based on observations from a pan-cancer dataset, APOE expression was significantly different between cancer and normal tissues, and was simultaneously associated with survival outcomes in terms of cancer type, clinical annotation, TMB, MSI, and TICs abundance. In addition, the results also showed that expression of APOE may respond to a variety of cancer chemotherapy. Conclusion The findings from this study strongly indicate a close association between APOE and tumor development. Moreover, APOE shows promise as a potential biomarker for predicting prognosis and response to immunotherapy in patients with pan-cancer.
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Affiliation(s)
- Jinji Chen
- Department of Urology, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, People’s Republic of China
| | - Herong Zhu
- Department of Urology, Guangdong Provincial Hospital of Integrated Traditional Chinese and Western Medicine, Foshan, People’s Republic of China
| | - Shaohua Chen
- Department of Urology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, People’s Republic of China
| | - Hua Mi
- Department of Urology, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, People’s Republic of China
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Luo J, An J, Jia R, Liu C, Zhang Y. Identification and Verification of Metabolism-related Immunotherapy Features and Prognosis in Lung Adenocarcinoma. Curr Med Chem 2024; 31:CMC-EPUB-139191. [PMID: 38500277 DOI: 10.2174/0109298673293414240314043529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 02/21/2024] [Accepted: 03/04/2024] [Indexed: 03/20/2024]
Abstract
BACKGROUND Lung cancer is a frequent malignancy with a poor prognosis. Extensive metabolic alterations are involved in carcinogenesis and could, therefore, serve as a reliable prognostic phenotype. AIMS Our study aimed to develop a prognosis signature and explore the relationship between metabolic characteristic-related signature and immune infiltration in lung adenocarcinoma (LUAD). OBJECTIVE TCGA-LUAD and GSE31210 datasets were used as a training set and a validation set, respectively. METHOD A total of 513 LUAD samples collected from The Cancer Genome Atlas database (TCGA-LUAD) were used as a training dataset. Molecular subtypes were classified by consensus clustering, and prognostic genes related to metabolism were analyzed based on Differentially Expressed Genes (DEGs), Protein-Protein Interaction (PPI) network, the univariate/multivariate- and Lasso- Cox regression analysis. RESULTS Two molecular subtypes with significant survival differences were divided by the metabolism gene sets. The DEGs between the two subtypes were identified by integrated analysis and then used to develop an 8-gene signature (TTK, TOP2A, KIF15, DLGAP5, PLK1, PTTG1, ECT2, and ANLN) for predicting LUAD prognosis. Overexpression of the 8 genes was significantly correlated with worse prognostic outcomes. RiskScore was an independent factor that could divide LUAD patients into low- and high-risk groups. Specifically, high-risk patients had poorer prognoses and higher immune escape. The Receiver Operating Characteristic (ROC) curve showed strong performance of the RiskScore model in estimating 1-, 3- and 5-year survival in both training and validation sets. Finally, an optimized nomogram model was developed and contributed the most to the prognostic prediction in LUAD. CONCLUSION The current model could help effectively identify high-risk patients and suggest the most effective drug and treatment candidates for patients with LUAD.
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Affiliation(s)
- Junfang Luo
- Department of Geriatric Respiratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Jinlu An
- Department of Geriatric Respiratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Rongyan Jia
- Department of Anesthesiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Cong Liu
- Department of Geriatric Respiratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Yang Zhang
- Department of Geriatric Respiratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
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Liu M, Zhao H, Peng S, Wu Y, Liu Y, Sun W, Zen K, Sun X. Comprehensive analysis of zinc and ring finger 3 in prognostic value and pan-cancer immunity. FASEB J 2024; 38:e23523. [PMID: 38457275 DOI: 10.1096/fj.202301161r] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Revised: 01/19/2024] [Accepted: 02/16/2024] [Indexed: 03/10/2024]
Abstract
Zinc and ring finger 3 (ZNRF3) is a negative suppressor of Wnt signal and newly identified as an important regulator in tumorigenesis and development. However, the pan-cancer analysis of ZNRF3 has not been reported. We found that ZNRF3 was significantly decreased in six tumors including CESC, KIRP, KIRC, SKCM, OV, and ACC, but increased in twelve tumors, namely LGG, ESCA, STES, COAD, STAD, LUSC, LIHC, THCA, READ, PAAD, TGCT, and LAML. Clinical outcomes of cancer patients were closely related to ZNRF3 expression in ESCA, GBM, KIRC, LUAD, STAD, UCEC, LGG, and SARC. The highest genetic alteration frequency of ZNRF3 occurred in ACC. Abnormal expression of ZNRF3 could be attributed to the differences of copy number variation (CNV) and DNA methylation as well as ZNRF3-interacting proteins. Besides, ZNRF3 were strongly associated with tumor heterogeneity, tumor stemness, immune score, stromal score and ESTIMATE score in certain cancers. In terms of immune cell infiltration, ZNRF3 was positively correlated to infiltration of cancer-associated fibroblasts in CESC, HNSC, OV, PAAD, PRAD, and THYM, but negatively associated with infiltration of CD8 T cells in HNSC, KIRC, KIRP and THYM. Moreover, ZNRF3 expression was correlated with most immune checkpoint genes in SARC, LUSC, LUAD, PRAD, THCA, UVM, TGCT, and OV, and associated with overwhelming majority of immunoregulatory genes in almost all cancers. Most RNA modification genes were also remarkably related to ZNRF3 level in KIRP, LUAD, LUSC, THYM, UVM, PRAD, and UCEC, indicating that ZNRF3 might have an important effect on cancer epigenetic regulation. Finally, we verified the expression and role of ZNRF3 in clinical specimens and cell lines of renal cancer and liver cancer. This study provides a comprehensive pan-cancer analysis of ZNRF3 and reveals the complexity of its carcinogenic effect.
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Affiliation(s)
- Minghui Liu
- State Key Laboratory of Natural Medicines, School of Life Science and Technology, China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Huan Zhao
- State Key Laboratory of Natural Medicines, School of Life Science and Technology, China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Suming Peng
- State Key Laboratory of Natural Medicines, School of Life Science and Technology, China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Yunfei Wu
- State Key Laboratory of Natural Medicines, School of Life Science and Technology, China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Yanyan Liu
- State Key Laboratory of Natural Medicines, School of Life Science and Technology, China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Wu Sun
- Department of oncology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - Ke Zen
- State Key Laboratory of Pharmaceutical Biotechnology, Jiangsu Engineering Research Center for MicroRNA Biology and Biotechnology, School of Life Sciences, Nanjing University, Nanjing, Jiangsu, China
| | - Xinlei Sun
- State Key Laboratory of Natural Medicines, School of Life Science and Technology, China Pharmaceutical University, Nanjing, Jiangsu, China
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Ren H, Yang X, Hou W, Meng J, Luo D, Zhang C. Comprehensive analysis of the clinical and biological significances for chemokine CXCL3 in cholangiocarcinoma. Medicine (Baltimore) 2024; 103:e37460. [PMID: 38489741 PMCID: PMC10939667 DOI: 10.1097/md.0000000000037460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 02/07/2024] [Accepted: 02/12/2024] [Indexed: 03/17/2024] Open
Abstract
Cholangiocarcinoma (CHOL) is a race malignant cancer arising from bile duct epithelial cells in clinical practice. C-X-C motif chemokine ligand 3 (CXCL3) is a member of chemokines family, which participates in the pathogenesis of various tumors. However, the association between CXCL3 and CHOL is unclear. This present study was to assess the role of CXCL3 expression in the progress of CHOL. TIMER, GEPIA, UALCAN, GSCA, LinkedOmics, Metascape and STRING databases were performed to evaluate the clinical and biological significances for CXCL3 with CHOL patients including expression, clinicopathological factors, immune cell infiltration, GO enrichment and KEGG pathway analyses, as well as PPI network analysis. The immunohistochemistry analysis of tissue microarray was conducted to detect the protein expression level, subcellular localization, clinicopathological factors and prognosis of CXCL3 in CHOL. The mRNA and protein expression levels of CXCL3 were markedly increased in CHOL tissues. The overexpression of CXCL3 was strongly associated with maximum tumor diameter of patients with CHOL. Additionally, there were negative correlations between the expression of CXCL3 and monocyte as well as Th17. Low infiltration of neutrophil indicated significantly shorter cumulative survival in CHOL patients. And CXCL3 was significantly associated with arm-level deletion of CD8+ T cell. Furthermore, functional network analysis suggested that CXCL3 and its associated genes were mainly enriched for chemotaxis, secretory granule membrane, cytokine activity and IL-17 signaling pathway. CXCL3 might potentially participate in the carcinogenesis of CHOL, which provided a direction for future research on the mechanism of CXCL3 in CHOL.
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Affiliation(s)
- Hongyue Ren
- Basic Medical College, Zhangzhou Health Vocational College, Zhangzhou, Fujian Province, China
| | - Xiaofan Yang
- Basic Medical College, Jiamusi University, Jiamusi, Heilongjiang Province, China
| | - Wenrong Hou
- Basic Medical College, Jiamusi University, Jiamusi, Heilongjiang Province, China
| | - Jiarong Meng
- Department of Pathology, Dongnan Hospital of Xiamen University, School of Medicine, Xiamen University, Zhangzhou, Fujian Province, China
| | - Deqing Luo
- Department of Orthopaedic Surgery, Dongnan Hospital of Xiamen University, School of Medicine, Xiamen University, Zhangzhou, Fujian Province, China
| | - Chunbin Zhang
- Basic Medical College, Zhangzhou Health Vocational College, Zhangzhou, Fujian Province, China
- Medical Technology College, Zhangzhou Health Vocational College, Zhangzhou, Fujian Province, China
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He X, Zai G, Zhou L, Chen S, Wang G. Identification of VRK1 as a Novel Potential Biomarker for Prognosis and Immunotherapy in Hepatocellular Carcinoma. J Inflamm Res 2024; 17:1671-1683. [PMID: 38504696 PMCID: PMC10948335 DOI: 10.2147/jir.s452505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 03/08/2024] [Indexed: 03/21/2024] Open
Abstract
Background Research has indicated that VRK1 is essential for the tumor cell cycle. However, its prognostic and immunotherapeutic predictive significance has not been documented in hepatocellular carcinoma (HCC). Methods The TCGA, ICGC, and GSE14520 datasets were used to investigate VRK1 expression and its predictive significance of survival outcomes. The qRT-PCR and immunohistochemistry (IHC) were used to confirm the findings. The immunotherapeutic response of VRK1 was anticipated by the IMvigor210 cohort. Lastly, the association between immune infiltration, m6A modification, and functional enrichment of differentially expressed genes (DEGs) was investigated in connection to VRK1 expression. Results VRK1 expression was markedly elevated on both the mRNA and protein levels in HCC. In HCC patients, a high expression of VRK1 was linked to a poor prognosis. Furthermore, there was a substantial positive correlation seen between increased VRK1 expression and the response rate to anti-PD-L1 immunotherapy. Relationships between VRK1 and m6A-related genes as well as different immune cells were shown by correlation studies. Lastly, enrichment analysis revealed a tight relationship between VRK1 and important biological functions, including DNA replication, cell cycle control, and fatty acid metabolism. Conclusion Our research reveals the potential of VRK1 as a novel biomarker for prognosis and immunotherapy response in HCC patients.
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Affiliation(s)
- Xiaoyan He
- Department of Pathology, the Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Guozhen Zai
- Department of Pathology, the Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Lidan Zhou
- Department of Radiology, the Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Shengyang Chen
- Department of Hepatobiliary Pancreatic Surgery, the Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Guizhi Wang
- Department of Pathology, the Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
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Zhao W, Li Q, Wen S, Li Y, Bai Y, Tian Z. Novel biomarkers of inflammation-associated immunity in cervical cancer. Front Oncol 2024; 14:1351736. [PMID: 38532933 PMCID: PMC10964772 DOI: 10.3389/fonc.2024.1351736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 02/12/2024] [Indexed: 03/28/2024] Open
Abstract
Background Cervical cancer (CC) is a highly malignant gynecological cancer with a direct causal link to inflammation, primarily resulting from persistent high-risk human papillomavirus (HPV) infection. Given the challenges in early detection and mid to late-stage treatment, our research aims to identify inflammation-associated immune biomarkers in CC. Methods Using a bioinformatics approach combined with experimental validation, we integrated two CC datasets (GSE39001 and GSE63514) in the Gene Expression Omnibus (GEO) to eliminate batch effects. Immune-related inflammation differentially expressed genes (DGEs) were obtained by R language identification. Results This analysis identified 37 inflammation-related DEGs. Subsequently, we discussed the different levels of immune infiltration between CC cases and controls. Weighted gene co-expression network analysis (WGCNA) identified seven immune infiltration-related modules in CC. We identified 15 immune DEGs associated with inflammation at the intersection of these findings. In addition, we constructed a protein interaction network using the String database and screened five hub genes using "CytoHubba": CXC chemokine ligand 8 (CXCL8), CXC chemokine ligand 10 (CXCL10), CX3C chemokine receptor 1 (CX3CR1), Fc gamma receptors 3B (FCGR3B), and SELL. The expression of these five genes in CC was determined by PCR experiments. In addition, we assessed their diagnostic value and further analyzed the association of immune cells with them. Conclusions Five inflammation- and immune-related genes were identified, aiming to provide new directions for early diagnosis and mid to late-stage treatment of CC from multiple perspectives.
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Affiliation(s)
- Weihong Zhao
- Department of Obstetrics and Gynecology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Qi Li
- Department of Obstetrics and Gynecology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- The Second Clinical Medical College, Shanxi Medical University, Taiyuan, China
| | - Songquan Wen
- Department of Obstetrics and Gynecology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- The Second Clinical Medical College, Shanxi Medical University, Taiyuan, China
| | - Yaqin Li
- Department of Obstetrics and Gynecology, Peking University People’s Hospital, Beijing, China
| | - Ying Bai
- Department of Obstetrics and Gynecology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- The Second Clinical Medical College, Shanxi Medical University, Taiyuan, China
| | - Zhiyu Tian
- The Second Clinical Medical College, Shanxi Medical University, Taiyuan, China
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
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Liu J, Han D, Xuan J, Xie J, Wang W, Zhou Q, Chen K. COP9 signalosome complex is a prognostic biomarker and corresponds with immune infiltration in hepatocellular carcinoma. Aging (Albany NY) 2024; 16:205646. [PMID: 38466642 DOI: 10.18632/aging.205646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 01/15/2024] [Indexed: 03/13/2024]
Abstract
Hepatocellular carcinoma (HCC) is among the most common deadly tumors but still lacks specific biomarkers for diagnosis, prognosis, and treatment guidance. The COP9 signalosome (COPS) is an essential regulator of the ubiquitin conjugation pathway upregulated in various cancers. We evaluated the contributions of COPS subunits to HCC tumorigenesis and their utility for prognosis. We comprehensively evaluated the tumor expression pattern and tumorigenic functions of COPS subunits using The Cancer Genome Atlas (TCGA), The Human Protein Atlas and immunohistochemistry. Kaplan-Meier, Cox regression, ROC curve, and nomogram analyses were used to assess the predictive values of COPS subunits for clinical outcome. Expression levels of COPS subunits were significantly upregulated in HCC tissues, which predicted shorter overall survival (OS). Further, Cox regression analysis identified COPS5, COPS7B, and COPS9 as independent prognostic biomarkers for OS. High mutation rates were also found in COPS subunits. Functional network analysis indicated that COPS and neighboring genes regulate 'protein neddylation', 'protein deneddylation', and 'protein ubiquitination'. The COPS PPI included strong interactions with p53, CUL1/2/3/4, and JUN. Moreover, the correlations between COPS subunit expression levels and tumor immune cell infiltration rates were examined using TIMER, TISIDB, ssGSEA, and ESTIMATE packages. COPS subunits expression levels were positively correlated with specific tumor immune cell infiltration rates, immunoregulator expression levels, and microsatellite instability in HCC. Finally, knockout of COPS6 and COPS9 in HCC cells reduced while overexpression enhanced proliferation rate and metastasis capacity. Our study revealed that COPS potential biomarker for unfavorable HCC prognosis and indicators of immune infiltration, tumorigenicity, and metastasis.
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Affiliation(s)
- Jiahui Liu
- Department of Clinical Laboratory, Zhongshan City People’s Hospital, The Affiliated Zhongshan Hospital of Sun Yat-Sen University, Zhongshan 528400, Guangdong, China
- Laboratory of Basic Medical Science, General Hospital of Southern Theater Command of PLA, Guangzhou 510000, Guangdong, China
| | - Dexing Han
- The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou 510000, Guangdong, China
| | - Junfeng Xuan
- Laboratory of Basic Medical Science, General Hospital of Southern Theater Command of PLA, Guangzhou 510000, Guangdong, China
| | - Jinye Xie
- Department of Clinical Laboratory, Zhongshan City People’s Hospital, The Affiliated Zhongshan Hospital of Sun Yat-Sen University, Zhongshan 528400, Guangdong, China
| | - Weijia Wang
- Department of Clinical Laboratory, Zhongshan City People’s Hospital, The Affiliated Zhongshan Hospital of Sun Yat-Sen University, Zhongshan 528400, Guangdong, China
| | - Quan Zhou
- Laboratory of Basic Medical Science, General Hospital of Southern Theater Command of PLA, Guangzhou 510000, Guangdong, China
- Research Centre of Basic Integrative Medicine, School of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou 510000, Guangdong, China
| | - Kang Chen
- Department of Clinical Laboratory, Zhongshan City People’s Hospital, The Affiliated Zhongshan Hospital of Sun Yat-Sen University, Zhongshan 528400, Guangdong, China
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Zhang H, Qiao W, Liu R, Shi Z, Sun J, Dong S. Development and validation of a novel biomarker panel for Crohn's disease and rheumatoid arthritis diagnosis and treatment. Aging (Albany NY) 2024; 16:205644. [PMID: 38462694 DOI: 10.18632/aging.205644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 02/02/2024] [Indexed: 03/12/2024]
Abstract
BACKGROUND Crohn's disease (CD) and rheumatoid arthritis (RA) are immune-mediated inflammatory diseases. However, the molecular mechanisms linking these two diseases remain unclear. METHODS To identify shared core genes between CD and RA, we employed differential gene analysis and the least absolute shrinkage and selection operator (LASSO) algorithm. Functional annotation of these core biomarkers was performed using consensus clustering and gene set enrichment analysis. We also constructed a protein-protein network and a miRNA-mRNA network using multiple databases, and potential therapeutic agents targeting the core biomarkers were predicted. Finally, we confirmed the expression of the genes in the biomarker panel in both CD and RA using quantitative PCR. RESULTS A total of five shared core genes, namely C-X-C motif chemokine ligand 10 (CXCL10), C-X-C motif chemokine ligand 9 (CXCL9), aquaporin 9 (AQP9), secreted phosphoprotein 1 (SPP1), and metallothionein 1M (MT1M), were identified as core biomarkers. These biomarkers activate classical pro-inflammatory and immune signaling pathways, influencing immune cell aggregation. Additionally, testosterone was identified as a potential therapeutic agent targeting the biomarkers identified in this study. The expression of genes in the biomarker panel in CD and RA was confirmed through quantitative PCR. CONCLUSION Our study revealed some core genes shared between CD and RA and established a novel biomarker panel with potential implications for the diagnosis and treatment of these diseases.
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Affiliation(s)
- Hao Zhang
- Department of Gastroenterology Surgery, Shandong Provincial Third Hospital, Shandong University, Jinan, Shandong 250013, China
| | - Wenhao Qiao
- Department of Gastroenterology Surgery, Shandong Provincial Third Hospital, Shandong University, Jinan, Shandong 250013, China
| | - Ran Liu
- Department of Gastroenterology Surgery, Shandong Provincial Third Hospital, Shandong University, Jinan, Shandong 250013, China
| | - Zuoxiu Shi
- Department of Gastroenterology Surgery, Shandong Provincial Third Hospital, Shandong University, Jinan, Shandong 250013, China
| | - Jie Sun
- Department of Gastroenterology Surgery, Shandong Provincial Third Hospital, Shandong University, Jinan, Shandong 250013, China
| | - Shuxiao Dong
- Department of Gastroenterology Surgery, Shandong Provincial Third Hospital, Shandong University, Jinan, Shandong 250013, China
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He R, Guan C, Zhao X, Yu L, Cui Y. Expression of immune related genes and possible regulatory mechanisms in different stages of non-alcoholic fatty liver disease. Front Immunol 2024; 15:1364442. [PMID: 38524129 PMCID: PMC10957650 DOI: 10.3389/fimmu.2024.1364442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 02/26/2024] [Indexed: 03/26/2024] Open
Abstract
Background Non-alcoholic fatty liver disease (NAFLD), which includes simple steatosis (SS) and non-alcoholic steatohepatitis (NASH), is a significant contributor to liver disease on a global scale. The change of immunity-related genes (IRGs) expression level leads to different immune infiltrations. However, the expression of IRGs and possible regulatory mechanisms involved in NAFLD remain unclear. The objective of our research is to investigate crucial genes linked to the development of NAFLD and the transition from SS to NASH. Methods Dataset GSE89632, which includes healthy controls, SS patients, and NASH patients, was obtained using the GEO database. To examine the correlation between sets of genes and clinical characteristics, we employed weighted gene co-expression network analysis (WGCNA) and differential expression analysis. Hub genes were extracted using a network of protein-protein interactions (PPI) and three different machine learning algorithms. To validate the findings, another dataset that is publicly accessible and mice that were subjected to a high-fat diet (HFD) or MCD diet were utilized. Furthermore, the ESTIMATE algorithm and ssGSEA were employed to investigate the immune landscape in the normal versus SS group and SS versus NASH group, additionally, the relationship between immune infiltration and the expression of hub genes was also examined. Results A total of 28 immune related key genes were selected. Most of these genes expressed reverse patterns in the initial and progressive stages of NAFLD. GO and KEGG analyses showed that they were focused on the cytokine related pathways and immune cell activation and chemotaxis. After screening by various algorithms, we obtained two hub genes, including JUN and CCL20. Validation of these findings was confirmed by analyzing gene expression patterns in both the validation dataset and the mouse model. Ultimately, two hub genes were discovered to have a significant correlation with the infiltration of immune cells. Conclusion We proposed that there were dynamic changes in the expression levels of IRGs in different stages of NAFLD disease, which led to different immune landscapes in SS and NASH. The findings of our research could serve as a guide for the accurate management of various phases of NAFLD.
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Affiliation(s)
| | | | | | - Liang Yu
- Department of Pancreatobiliary Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Yunfu Cui
- Department of Pancreatobiliary Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
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Zhang J, Liu J, Ding R, Miao X, Deng J, Zhao X, Wu T, Cheng X. Molecular characterization of Golgi apparatus-related genes indicates prognosis and immune infiltration in osteosarcoma. Aging (Albany NY) 2024; 16:205645. [PMID: 38460960 DOI: 10.18632/aging.205645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 01/11/2024] [Indexed: 03/11/2024]
Abstract
BACKGROUND The Golgi apparatus (GA) is crucial for protein synthesis and modification, and regulates various cellular processes. Dysregulation of GA can lead to pathological conditions like neoplastic growth. GA-related genes (GARGs) mutations are commonly found in cancer, contributing to tumor metastasis. However, the expression and prognostic significance of GARGs in osteosarcoma are yet to be understood. METHODS Gene expression and clinical data of osteosarcoma patients were obtained from the TARGET and GEO databases. A consensus clustering analysis identified distinct molecular subtypes based on GARGs. Discrepancies in biological processes and immunological features among the subtypes were explored using GSVA, ssGSEA, and Metascape analysis. A GARGs signature was constructed using Cox regression. The prognostic value of the GARGs signature in osteosarcoma was evaluated using Kaplan-Meier curves and a nomogram. RESULTS Two GARG subtypes were identified, with Cluster A showing better prognosis, immunogenicity, and immune cell infiltration than Cluster B. A novel risk model of 3 GARGs was established using the TARGET dataset and validated with independent datasets. High-risk patients had poorer overall survival, and the GARGs signature independently predicted osteosarcoma prognosis. Combining risk scores and clinical characteristics in a nomogram improved prediction performance. Additionally, we discovered Stanniocalcin-2 (STC2) as a significant prognostic gene highly expressed in osteosarcoma and potential disease biomarker. CONCLUSIONS Our study revealed that patients with osteosarcoma can be divided into two GARGs subgroups. Furthermore, we have developed a GARGs prognostic signature that can accurately forecast the prognosis of osteosarcoma patients.
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Affiliation(s)
- Jian Zhang
- Department of Orthopedics, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi, China
- Institute of Orthopedics of Jiangxi Province, Nanchang 330006, Jiangxi, China
| | - Jiahao Liu
- Department of Orthopedics, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi, China
| | - Rui Ding
- Department of Orthopedics, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi, China
| | - Xinxin Miao
- Department of Orthopedics, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi, China
| | - Jianjian Deng
- Department of Orthopedics, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi, China
| | - Xiaokun Zhao
- Department of Orthopedics, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi, China
| | - Tianlong Wu
- Department of Orthopedics, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi, China
- Institute of Minimally Invasive Orthopedics, Nanchang University, Nanchang 330006, Jiangxi, China
| | - Xigao Cheng
- Department of Orthopedics, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi, China
- Institute of Orthopedics of Jiangxi Province, Nanchang 330006, Jiangxi, China
- Institute of Minimally Invasive Orthopedics, Nanchang University, Nanchang 330006, Jiangxi, China
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Lv H, Liu L, He Y, Yang K, Fu Y, Bao Y. Role of hippo pathway and cuproptosis-related genes in immune infiltration and prognosis of skin cutaneous melanoma. Front Pharmacol 2024; 15:1344755. [PMID: 38515849 PMCID: PMC10955143 DOI: 10.3389/fphar.2024.1344755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Accepted: 02/19/2024] [Indexed: 03/23/2024] Open
Abstract
Melanoma is the most lethal type of skin cancer with an increasing incidence. Cuproptosis is the most recently identified copper-dependent form of cell death that relies on mitochondrial respiration. The hippocampal (Hippo) pathway functions as a tumor suppressor by regulating Yes-associated protein/transcriptional coactivator with PDZ-binding motif (YAP/TAZ) activity. However, its role in cuproptosis remains unknown. In addition, the correlation of cuproptosis-related genes and Hippo pathway-related genes with tumor prognosis warrants further investigation. In the present study, we explored the correlation of cuproptosis-related genes and Hippo pathway-related genes with the prognosis of melanoma through analysis of data from a public database and experimental verification. We found eight Hippo pathway-related genes that were downregulated in melanoma and exhibited predictive value for prognosis. There was a significant positive correlation between cuproptosis-related genes and Hippo pathway-related genes in skin cutaneous melanoma. YAP1 expression was positively correlated with ferredoxin 1 (FDX1) expression in the GSE68599 dataset and A2058 cells. Moreover, YAP1 was positively and negatively correlated with M2 macrophages and regulatory T cell infiltration, respectively. In conclusion, the present study demonstrated the prognostic value of Hippo pathway-related genes (particularly YAP1) in melanoma, revealing the correlation between the expression of Hippo pathway-related genes and immune infiltration. Thus, the present findings may provide new clues on the prognostic assessment of patients with melanoma and a new target for the immunotherapy of this disease.
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Affiliation(s)
- Haozhen Lv
- Department of Dermatology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Lin Liu
- Department of Dermatology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Peking Union Medical College, Beijing, China
| | - Yuexi He
- Department of Dermatology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Peking Union Medical College, Beijing, China
| | - Kun Yang
- Department of Dermatology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Yu Fu
- Department of Dermatology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Peking Union Medical College, Beijing, China
| | - Yingqiu Bao
- Department of Dermatology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
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Luo T, Chen X, Pan W, Zhang S, Huang J. The sorafenib resistance-related gene signature predicts prognosis and indicates immune activity in hepatocellular carcinoma. Cell Cycle 2024:1-19. [PMID: 38444181 DOI: 10.1080/15384101.2024.2309020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 12/15/2023] [Indexed: 03/07/2024] Open
Abstract
Hepatocellular carcinoma (HCC) is the second most common cause of cancer-related death worldwide. Most patients with advanced HCC acquire sorafenib resistance. Drug resistance reflects the heterogeneity of tumors and is the main cause of tumor recurrence and death.We identified and validated sorafenib resistance related-genes (SRGs) as prognostic biomarkers for HCC. We obtained SRGs from the Gene Expression Omnibus and selected four key SRGs using the least absolute shrinkage and selection operator, random forest, and Support Vector Machine-Recursive feature elimination machine learning algorithms. Samples from the The Cancer Genome Atlas (TCGA)-HCC were segregated into two groups by consensus clustering. Following difference analysis, 19 SRGs were obtained through univariate Cox regression analysis, and a sorafenib resistance model was constructed for risk stratification and prognosis prediction. In multivariate Cox regression analysis, the risk score was an independent predictor of overall survival (OS). Patients classified as high-risk were more sensitive to other chemotherapy drugs and showed a higher expression of the common immune checkpoints. Additionally, the expression of drug-resistance genes was verified in the International Cancer Genome Consortium cohort. A nomogram model with a risk score was established, and its prediction performance was verified by calibration chart analysis of the TCGA-HCC cohort. We conclude that there is a significant correlation between sorafenib resistance and the tumor immune microenvironment in HCC. The risk score could be used to identify a reliable prognostic biomarker to optimize the therapeutic benefits of chemotherapy and immunotherapy, which can be helpful in the clinical decision-making for HCC patients.
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Affiliation(s)
- Tianxin Luo
- School of Clinical Laboratory Science, Guizhou Medical University, Guiyang, China
| | - Xiaomei Chen
- School of Clinical Laboratory Science, Guizhou Medical University, Guiyang, China
| | - Wei Pan
- Prenatal Diagnosis Center, the Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Shu Zhang
- School of Clinical Laboratory Science, Guizhou Medical University, Guiyang, China
- Center for Clinical Laboratories, the Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Jian Huang
- Center for Clinical Laboratories, the Affiliated Hospital of Guizhou Medical University, Guiyang, China
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Li Y, Chen MX, Li HT, Cai XM, Chen B, Xie ZF. Comprehensive analysis based on the disulfidptosis-related genes identifies hub genes and immune infiltration for pancreatic adenocarcinoma. Open Med (Wars) 2024; 19:20240906. [PMID: 38463521 PMCID: PMC10921452 DOI: 10.1515/med-2024-0906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 12/11/2023] [Accepted: 01/03/2024] [Indexed: 03/12/2024] Open
Abstract
Pancreatic adenocarcinoma (PAAD) is a prevalent and aggressive malignancy in the digestive tract, requiring accurate prediction and effective treatment strategies. Recently, the discovery of disulfidptosis, a novel form of programmed cell death characterized by abnormal disulfide accumulation, has sparked interest in its role in PAAD. In this study, we aimed to investigate the involvement of disulfidptosis-related genes (DRGs) in PAAD. Using publicly available databases, we conducted a comprehensive analysis exploring the complex relationships between DRGs and important aspects of PAAD, including gene expression, immune response, mutation, drug sensitivity, and functional enrichment. Notably, we observed significant heterogeneity among different disulfidptosis subclusters and identified specific differentially expressed genes in PAAD. Through machine learning techniques, we identified SLC7A11, S100A4, DIAPH3, PRDX1, and SLC7A7 as the most relevant hub genes. We further validated their significance in PAAD by considering their expression patterns, prognostic value, diagnostic potential, diagnostic model, and immune infiltration. This study presents exciting opportunities and challenges in unraveling the underlying mechanisms of PAAD prognosis. It also establishes a foundation for personalized cancer care and the development of innovative immunotherapeutic strategies. By shedding light on the role of DRGs, particularly hub genes, we enhance our understanding and management of PAAD.
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Affiliation(s)
- Yu Li
- The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Miao-Xuan Chen
- The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Hai-Tao Li
- The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Xiao-Ming Cai
- The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Bo Chen
- The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Ze-Feng Xie
- The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
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Zhu L, Gao N, Zhu Z, Zhang S, Li X, Zhu J. Bioinformatics analysis of differentially expressed genes related to ischemia and hypoxia in spinal cord injury and construction of miRNA-mRNA or mRNA-transcription factor interaction network. Toxicol Mech Methods 2024; 34:300-318. [PMID: 37990533 DOI: 10.1080/15376516.2023.2286363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 11/16/2023] [Indexed: 11/23/2023]
Abstract
BACKGROUND Previous studies show that spinal cord ischemia and hypoxia is an important cause of spinal cord necrosis and neurological loss. Therefore, the study aimed to identify genes related to ischemia and hypoxia after spinal cord injury (SCI) and analyze their functions, regulatory mechanism, and potential in regulating immune infiltration. METHODS The expression profiles of GSE5296, GSE47681, and GSE217797 were downloaded from the Gene Expression Omnibus database. Gene ontology and Kyoto Encyclopedia of Genes and Genomes analyses were performed to determine the function and pathway enrichment of ischemia- and hypoxia-related differentially expressed genes (IAHRDEGs) in SCI. LASSO model was constructed, and support vector machine analysis was used to identify key genes. The diagnostic values of key genes were evaluated using decision curve analysis and receiver operating characteristic curve analysis. The interaction networks of miRNAs-IAHRDEGs and IAHRDEGs-transcription factors were predicted and constructed with the ENCORI database and Cytoscape software. CIBERSORT algorithm was utilized to analyze the correlation between key gene expression and immune cell infiltration. RESULTS There were 27 IAHRDEGs identified to be significantly expressed in SCI at first. These genes were mostly significantly enriched in wound healing function and the pathway associated with lipid and atherosclerosis. Next, five key IAHRDEGs (Abca1, Casp1, Lpl, Procr, Tnfrsf1a) were identified and predicted to have diagnostic value. Moreover, the five key genes are closely related to immune cell infiltration. CONCLUSION Abca1, Casp1, Lpl, Procr, and Tnfrsf1a may promote the pathogenesis of ischemic or hypoxic SCI by regulating vascular damage, inflammation, and immune infiltration.
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Affiliation(s)
- Lijuan Zhu
- Department of Anesthesiology, Shaanxi Provincial People's Hospital, Xi'an, China
| | - Na Gao
- Department of Pediatrics, Shaanxi Provincial People's Hospital, Xi'an, China
| | - Zhibo Zhu
- Medical Equipment Department, Shaanxi Provincial People's Hospital, Xi'an, China
| | - Shiping Zhang
- Department of Anesthesiology, Shaanxi Provincial People's Hospital, Xi'an, China
| | - Xi Li
- Department of Anesthesiology, Shaanxi Provincial People's Hospital, Xi'an, China
| | - Jing Zhu
- Department of Anesthesiology, Shaanxi Provincial People's Hospital, Xi'an, China
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Liu W, Xiao Z, Dong M, Li X, Huang Z. Decreased expression of TXNIP is associated with poor prognosis and immune infiltration in kidney renal clear cell carcinoma. Oncol Lett 2024; 27:97. [PMID: 38288038 PMCID: PMC10823309 DOI: 10.3892/ol.2024.14230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 11/16/2023] [Indexed: 01/31/2024] Open
Abstract
The most prevalent and insidious type of kidney cancer is kidney clear cell carcinoma (KIRC). Thioredoxin-interacting protein (TXNIP) encodes a thioredoxin-binding protein involved in cellular energy metabolism, redox homeostasis, apoptosis induction and inflammatory responses. However, the relationship between TXNIP, immune infiltration and its prognostic value in KIRC remains unclear. Thus, the present study evaluated the potential for TXNIP as a prognostic marker in patients with KIRC. Data from The Cancer Genome Atlas were used to assess relative mRNA expression levels of TXNIP in different types of cancer. The protein expression levels of TXNIP were evaluated using the Human Protein Atlas. Enrichment analysis of genes co-expressed with TXNIP was performed to assess relevant biological processes that TXNIP may be involved in. CIBERSORT was used to predict the infiltration of 21 tumor-infiltrating immune cells (TIICs). Univariate and multivariate Cox regression analyses were used to assess the relationship between TXNIP expression and prognosis. Single-cell RNA-sequencing datasets were used to evaluate the mRNA expression levels of TXNIP in certain immune cells in KIRC. The CellMiner database was used to analyze the relationship between TXNIP mRNA expression and drug sensitivity in KIRC. The results from the present study demonstrated that TXNIP expression was significantly decreased in KIRC tissue compared with that in normal tissue, as confirmed by western blotting and reverse transcription-quantitative PCR. In addition, downregulated TXNIP expression was significantly associated with poor prognosis, a high histological grade and an advanced stage. The Cell Counting Kit-8 assay demonstrated that TXNIP overexpression significantly suppressed tumor cell proliferation. Univariate and multivariate Cox regression analyses indicated that TXNIP served as a separate prognostic factor in KIRC. Moreover, TXNIP expression was significantly correlated with the accumulation of several TIICs and its overexpression significantly downregulated the mRNA expression levels of CD25 and cytotoxic T-lymphocyte-associated protein 4, immune cell surface markers in CD4+ T lymphocytes. In conclusion, TXNIP may be used as a possible biomarker to assess unfavorable prognostic outcomes and identify immunotherapy targets in KIRC.
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Affiliation(s)
- Wanlu Liu
- School of Basic Medical Sciences, Youjiang Medical University for Nationalities, Baise, Guangxi 533000, P.R. China
| | - Zhen Xiao
- School of Basic Medical Sciences, Youjiang Medical University for Nationalities, Baise, Guangxi 533000, P.R. China
| | - Mingyou Dong
- The Key Laboratory of Molecular Pathology of Hepatobiliary Diseases of Guangxi, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi 533000, P.R. China
| | - Xiaolei Li
- Scientific Experiment Center, Affiliated Southwest Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi 533000, P.R. China
| | - Zhongshi Huang
- School of Basic Medical Sciences, Youjiang Medical University for Nationalities, Baise, Guangxi 533000, P.R. China
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Pu T, Jin Y, Tang C, Fu J, Zhang C, Su B, Cao A. An innovative predictive model for cervical cancer constructed around a gene profile associated with cholesterol metabolism. Environ Toxicol 2024; 39:1055-1071. [PMID: 37694961 DOI: 10.1002/tox.23969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 08/24/2023] [Accepted: 08/27/2023] [Indexed: 09/12/2023]
Abstract
Cholesterol metabolism is crucial for cell survival and cancer progression. The prognostic patterns of genes linked to cholesterol metabolism (CMAGs) in CESC, however, have received very little attention in research. From public databases, TCGA-CESC cohorts with mRNA expression patterns and the accompanying clinical information of patients were gathered. Consensus clustering was used to find the molecular subtype connected to cholesterol metabolism. In the TCGA-CESC cohort, a predictive risk model with 28 CMAGs was created using Lasso-Cox regression. The function enrichment analysis between groups with high-and low-risk were investigated by employing GO, KEGG, and GSVA software. The immune cell infiltration was analyzed using ESTIMATE, CIBERSORT, and MCPCOUNTER methods. Finally, we select 7 genes in risk model for further multivariate Cox analysis, and ultimately a hub gene, CHIT1, was identified. Meanwhile, the function of CHIT1 was preliminarily verified in cell and mice tumor model. In conclusion, the abundance of the CHIT1 gene might be beneficial for forecasting the prognosis of CESC, demonstrating that cholesterol metabolism could be a promising treatment target for CESC.
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Affiliation(s)
- Tengda Pu
- Department of Gynecology, Hainan Cancer Hospital, Haikou, China
| | - Ying Jin
- Department of Ultrasound, Hainan Cancer Hospital, Haikou, China
| | - Chuai Tang
- Department of Rehabilitation Therapeutics, The Second Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Jingjing Fu
- Department of Gynecology, Hainan Cancer Hospital, Haikou, China
| | - Chengyuan Zhang
- Department of Gynecology, Hainan Cancer Hospital, Haikou, China
| | - Bingfeng Su
- Department of Gynecology, Hainan Cancer Hospital, Haikou, China
| | - Aie Cao
- Department of Gynecology, Hainan Cancer Hospital, Haikou, China
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Li J, Li Z, Yang W, Pan J, You H, Yang L, Zhang X. Development and verification of a novel immunogenic cell death-related signature for predicting the prognosis and immune infiltration in triple-negative breast cancer. Cancer Rep (Hoboken) 2024; 7:e2007. [PMID: 38425247 PMCID: PMC10905160 DOI: 10.1002/cnr2.2007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 01/01/2024] [Accepted: 02/05/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND Insufficient understanding of the pathogenesis and tumor immunology of triple-negative breast cancer (TNBC) has limited the development of immunotherapy. The importance of tumor microenvironment (TME) in immunotyping, prognostic assessment and immunotherapy efficacy of cancer has been emphasized, however, potential immunogenic cell death (ICD) related genes function in TME of TNBC has been rarely investigated. AIMS To initially explore the role and related mechanisms of ICD in TNBC, especially the role played in the TME of TNBC, and to identify different relevant subtypes based on ICD, and then develop an ICD-related risk score to predict each TNBC patient TME status, prognosis and immunotherapy response. METHODS AND RESULTS In this study, we identified distinct ICD-related modification patterns based on 158 TNBC cases in the TCGA-TNBC cohort. We then investigated the possible correlation between ICD-related modification patterns and TME cell infiltration characteristics in TNBC. By using univariate Cox and least absolute shrinkage and selection operator (LASSO) regression analysis, we created a risk scoring system (ICD score) to quantifiably evaluate the impact of ICD-related modification patterns in individual TNBC patient. Two different ICD-related modification patterns were found with significant differences in immune infiltration. Lower ICD score was correlated with higher immune infiltration, tumor mutational burden and significantly enriched in immune-related pathways, indicating a strong ability to activate immune response, which might account for relatively favorable prognosis of TNBC patients and could serve as a predictor to select suitable candidates for immunotherapy. We used two independent cohorts, GSE58812 cohort and Metabric cohort to validate prognosis and immunohistochemistry for preliminary in vitro validation. CONCLUSION This study evidenced that the ICD-related modification patterns might exert pivotal roles in the immune infiltration landscape of TNBC and ICD score might act as potential predictors of prognostic assessment and immunotherapy response. This research provides unique insights for individualize immune treatment strategies and promising immunotherapy candidates screening.
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Affiliation(s)
- Jiachen Li
- Department of Gastrointestinal and Gland SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Zhengtian Li
- Department of Bone and Joint SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Wenkang Yang
- Department of Gastrointestinal and Gland SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Jianmin Pan
- Department of Gastrointestinal and Gland SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Huazong You
- Department of Gastrointestinal and Gland SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Lixiang Yang
- Department of Gastrointestinal and Gland SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Xiaodong Zhang
- Department of Gastrointestinal and Gland SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningChina
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Ding X, Wan A, Qi X, Jiang K, Liu Z, Chen B. ZNF695, A Potential Prognostic Biomarker, Correlates with Immune Infiltrates in Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma: Bioinformatic Analysis and Experimental Verification. Curr Gene Ther 2024; 24:CGT-EPUB-138901. [PMID: 38441026 DOI: 10.2174/0115665232285216240228071244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 01/01/1970] [Accepted: 02/19/2024] [Indexed: 03/06/2024]
Abstract
BACKGROUND The role of Zinc Finger Protein 695 (ZNF695) is unclear in cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC). OBJECTIVE The objective of this study was to conduct a comprehensive analysis and experimental validation of ZNF695 in CESC. METHODS The study investigated the expression of ZNF695 in both pan-cancer and CESC, utilizing data from The Cancer Genome Atlas (TCGA) database to assess its diagnostic value. The present study investigated the association between ZNF695 expression levels and clinical characteristics, as well as prognosis, in patients with CESC. The study explored potential regulatory networks involving ZNF695, including its association with immune infiltration, immune score, stemness index based on mRNA expression (mRNAsi), and drug sensitivity in CESC. We explored the expression of ZNF695 in CESC single cells. ZNF695 expression was validated using GSE29570. RESULTS ZNF695 was found to be aberrantly expressed in pan-cancer and CESC. There was a significant correlation observed between an elevated level of ZNF695 expression in patients with CESC and histological grade (p = 0.017). Furthermore, a strong association was found between high ZNF695 expression in CESC patients and poorer overall survival (OS) (HR: 1.87; 95% CI: 1.17-3.00; p = 0.009), Progression-free Survival (PFS) (HR: 1.86; 95% CI: 1.16-2.98; p = 0.010), and Disease-specific Survival (DSS) (HR: 1.98; 95% CI: 1.15-3.42; p = 0.014). The expression of ZNF695 in CESC patients (p = 0.006) was identified as an independent prognostic determinant. ZNF695 was associated with steroid hormone biosynthesis, oxidative phosphorylation, and so on. ZNF695 expression correlated with immune infiltration, immune score, and mRNAsi in CESC. ZNF695 expression significantly and negatively correlated with AICA ribonucleotide, BIX02189, QL-XI-92, STF-62247, and SNX-2112 in CESC. ZNF695 gene was upregulated in CESC tissues and cell lines. ZNF695 was significantly upregulated in the CESC cell lines. CONCLUSION ZNF695 may be a potential prognostic biomarker and immunotherapeutic target for CESC patients.
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Affiliation(s)
- Xiaojuan Ding
- Graduate School, Xuzhou Medical University, Xuzhou221000, Jiangsu, China
- The Fifth People's Hospital of Huai'an, Huai'an 223300, Jiangsu, China
| | - Ailing Wan
- Graduate School, Xuzhou Medical University, Xuzhou221000, Jiangsu, China
- The Fifth People's Hospital of Huai'an, Huai'an 223300, Jiangsu, China
| | - Xin Qi
- Graduate School, Xuzhou Medical University, Xuzhou221000, Jiangsu, China
- The Fifth People's Hospital of Huai'an, Huai'an 223300, Jiangsu, China
| | - Ke'er Jiang
- Graduate School, Xuzhou Medical University, Xuzhou221000, Jiangsu, China
| | - Zhao Liu
- The First Clinical Medical College, Xuzhou Medical University, Xuzhou221000, Jiangsu, China
| | - Buze Chen
- Department of Gynecology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou221000, Jiangsu, China
- The First Clinical Medical College, Xuzhou Medical University, Xuzhou 221000, Jiangsu, China
- Huaihai Institute of Traditional Chinese Medicine, Xuzhou Medical University, Xuzhou221000, Jiangsu, China
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Chen X, Liu Q, Chen N, Ma J, Wu X, Zhang H, Yu L, Huang H. Diagnostic biomarker for type 2 diabetic peripheral neuropathy via comprehensive bioinformatics analysis. J Diabetes 2024; 16:e13506. [PMID: 38018513 PMCID: PMC10925884 DOI: 10.1111/1753-0407.13506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 09/12/2023] [Accepted: 11/08/2023] [Indexed: 11/30/2023] Open
Abstract
BACKGROUND Diabetic peripheral neuropathy (DPN) is a common complication of Type 2 diabetes mellitus (T2DM), which frequently results in disabling neuropathic pain and lower-limb amputation. The identification of noninvasive biomarkers for DPN may help early detection and individualized treatment of DPN. METHODS In this study, we identified differentially expressed genes (DEGs) between DPN and the control based on blood-source (GSE95849) and tissue-source gene expression profiles (GSE143979) from the Gene Expression Omnibus (GEO) database using limma, edgeR, and DESeq2 approaches. KEGGG and GO functional enrichments were performed. Hub genes and their correlation with infiltrating immune cells were analyzed. Real-time quantitative polymerase chain reaction (RT-qPCR) was used to quantify hub gene expression. RESULTS In total, 144 DEGs between DPN and the control were identified. Functional enrichment revealed that the DEGs were mainly enriched in immune-related pathways like the Fc epsilon receptor Ig signaling pathway. By protein-protein interaction (PPI) network analysis, FCER1G, SYK, ITGA4, F13A1, MS4A2, and PTK2B were screened as hub genes with higher expression in DPN patients, among which half were immune genes (FCER1G, PTK2B, and SYK). RT-qPCR demonstrated that mRNA expression of FCER1G, PTK2B, and SYK was significantly increased in patients with DPN compared with both diabetic nonperipheral neuropathy (DNN) and normal subjects. The area under the receiver operating characteristic (ROC) curve of FCER1G, PTK2B, and SYK was 0.84, 0.81, and 0.73, respectively, suggesting their great advantages as diagnostic biomarkers to predict the progression of neuropathy in T2DM. Further analysis indicated that the expression of FCER1G, PTK2B, and SYK was negatively correlated with the cell proportion of significantly altered resting natural killer cells, T follicular helper cells, and activated mast cells, but positively correlated with monocytes. CONCLUSIONS Our findings demonstrated FCER1G, PTK2B, and SYK are potential diagnostic biomarkers and therapeutic targets for DPN, which provides new insight into DPN pathogenesis and therapies.
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Affiliation(s)
- Xiaoyu Chen
- Department of EndocrinologyThe Second Affiliated Hospital of Fujian Medical UniversityQuanzhouChina
| | - Qingquan Liu
- Department of CardiologyThe Second Affiliated Hospital of Fujian Medical UniversityQuanzhouChina
| | - Niyao Chen
- Department of EndocrinologyThe Second Affiliated Hospital of Fujian Medical UniversityQuanzhouChina
| | - Jiangxin Ma
- Department of EndocrinologyThe Second Affiliated Hospital of Fujian Medical UniversityQuanzhouChina
| | - Xiaohong Wu
- Department of EndocrinologyThe Second Affiliated Hospital of Fujian Medical UniversityQuanzhouChina
| | - Haibin Zhang
- Department of EndocrinologyThe Second Affiliated Hospital of Fujian Medical UniversityQuanzhouChina
| | - Liying Yu
- Central LaboratoryThe Second Affiliated Hospital of Fujian Medical UniversityQuanzhouChina
| | - Huibin Huang
- Department of EndocrinologyThe Second Affiliated Hospital of Fujian Medical UniversityQuanzhouChina
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Guo D, Zeng M, Yu M, Shang J, Lin J, Liu L, Yang K, Cao Z. SSR1 and CKAP4 as potential biomarkers for intervertebral disc degeneration based on integrated bioinformatics analysis. JOR Spine 2024; 7:e1309. [PMID: 38222802 PMCID: PMC10782074 DOI: 10.1002/jsp2.1309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 11/20/2023] [Accepted: 11/28/2023] [Indexed: 01/16/2024] Open
Abstract
Background Intervertebral disc degeneration (IDD) is a significant cause of low back pain and poses a significant public health concern. Genetic factors play a crucial role in IDD, highlighting the need for a better understanding of the underlying mechanisms. Aim The aim of this study was to identify potential IDD-related biomarkers using a comprehensive bioinformatics approach and validate them in vitro. Materials and Methods In this study, we employed several analytical approaches to identify the key genes involved in IDD. We utilized weighted gene coexpression network analysis (WGCNA), MCODE, LASSO algorithms, and ROC curves to identify the key genes. Additionally, immune infiltrating analysis and a single-cell sequencing dataset were utilized to further explore the characteristics of the key genes. Finally, we conducted in vitro experiments on human disc tissues to validate the significance of these key genes in IDD. Results we obtained gene expression profiles from the GEO database (GSE23130 and GSE15227) and identified 1015 DEGs associated with IDD. Using WGCNA, we identified the blue module as significantly related to IDD. Among the DEGs, we identified 47 hub genes that overlapped with the genes in the blue module, based on criteria of |logFC| ≥ 2.0 and p.adj <0.05. Further analysis using both MCODE and LASSO algorithms enabled us to identify five key genes, of which CKAP4 and SSR1 were validated by GSE70362, demonstrating significant diagnostic value for IDD. Additionally, immune infiltrating analysis revealed that monocytes were significantly correlated with the two key genes. We also analyzed a single-cell sequencing dataset, GSE199866, which showed that both CKAP4 and SSR1 were highly expressed in fibrocartilage chondrocytes. Finally, we validated our findings in vitro by performing real time polymerase chain reaction (RT-PCR) and immunohistochemistry (IHC) on 30 human disc samples. Our results showed that CKAP4 and SSR1 were upregulated in degenerated disc samples. Taken together, our findings suggest that CKAP4 and SSR1 have the potential to serve as disease biomarkers for IDD.
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Affiliation(s)
- Danqing Guo
- Institute of Orthopaedics and Traumatology, The 8th Clinical Medical College of Guangzhou University of Chinese MedicineFoshanGuangdongChina
- Guangzhou University of Chinese Medicine the First Affiliated HospitalGuangzhou中国
| | - Min Zeng
- Pathology DepartmentThe 8th Clinical Medical College of Guangzhou University of Chinese MedicineFoshanGuangdongChina
| | - Miao Yu
- Spinal Surgery DepartmentThe 8th Clinical Medical College of Guangzhou University of Chinese MedicineFoshanGuangdongChina
| | - Jingjing Shang
- Spinal Surgery DepartmentThe 8th Clinical Medical College of Guangzhou University of Chinese MedicineFoshanGuangdongChina
| | - Jinxing Lin
- Spinal Surgery DepartmentThe 8th Clinical Medical College of Guangzhou University of Chinese MedicineFoshanGuangdongChina
| | - Lichu Liu
- Institute of Orthopaedics and Traumatology, The 8th Clinical Medical College of Guangzhou University of Chinese MedicineFoshanGuangdongChina
| | - Kuangyang Yang
- Institute of Orthopaedics and Traumatology, The 8th Clinical Medical College of Guangzhou University of Chinese MedicineFoshanGuangdongChina
| | - Zhenglin Cao
- Spinal Surgery DepartmentThe 8th Clinical Medical College of Guangzhou University of Chinese MedicineFoshanGuangdongChina
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Li S, Li Z, Huang L, Geng Z, Li F, Wu B, Sheng Y, Xu Y, Li B, Xu Y, Gu Z, Qi Y. SLCO4A1, as a novel prognostic biomarker of non‑small cell lung cancer, promotes cell proliferation and migration. Int J Oncol 2024; 64:30. [PMID: 38275113 PMCID: PMC10836492 DOI: 10.3892/ijo.2024.5618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 01/10/2024] [Indexed: 01/27/2024] Open
Abstract
Solute carrier organic anion transporter family member 4A1 (SLCO4A1) is a membrane transporter protein. The role of this molecule in non‑small cell lung cancer (NSCLC) remains unclear. Bulk sequencing was carried out using early‑stage NSCLC tissues with lymph node metastasis to identify SLCO4A1 that influences NSCLC cell proliferation, metastasis and prognosis. The in vitro functional assays carried out included the following: Cell Counting Kit‑8, plate colony formation, Transwell and wound healing assays. The molecular techniques used included reverse transcription‑quantitative PCR, western blotting and immunohistochemistry. The present study revealed the role of SLCO4A in NSCLC. SLCO4A1 was found to be expressed at high levels in NSCLC tissues and cells, and promotes cell proliferation, migration and invasion. Kaplan‑Meier survival analysis indicated that patients with NSCLC and high expression of SLCO4A1 had a poor prognosis. SLCO4A was revealed to regulate the expression of the proliferation‑related proteins Ki‑67 and PCNA, and that of the extracellular matrix proteins vimentin and E‑cadherin. Mechanistically, SLCO4A1 may affect the MAPK signaling pathway to promote NSCLC cell proliferation, migration and invasion. In addition, bioinformatics analysis demonstrated a strong association between SLCO4A1 and tumor infiltrating immune cells, highlighting its critical role in immune therapies such as immune checkpoint inhibitor treatment of patients with NSCLC.
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Affiliation(s)
| | - Zihao Li
- Department of Thoracic Surgery and
| | - Lan Huang
- Biotherapy Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, P.R. China
| | | | - Feng Li
- Department of Thoracic Surgery and
| | - Bin Wu
- Department of Thoracic Surgery and
| | | | - Yifan Xu
- Department of Thoracic Surgery and
| | - Bowen Li
- Department of Thoracic Surgery and
| | | | | | - Yu Qi
- Department of Thoracic Surgery and
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Chen C, He Y, Ni Y, Tang Z, Zhang W. Identification of crosstalk genes relating to ECM-receptor interaction genes in MASH and DN using bioinformatics and machine learning. J Cell Mol Med 2024; 28:e18156. [PMID: 38429902 PMCID: PMC10907849 DOI: 10.1111/jcmm.18156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Revised: 01/01/2024] [Accepted: 01/12/2024] [Indexed: 03/03/2024] Open
Abstract
This study aimed to identify genes shared by metabolic dysfunction-associated fatty liver disease (MASH) and diabetic nephropathy (DN) and the effect of extracellular matrix (ECM) receptor interaction genes on them. Datasets with MASH and DN were downloaded from the Gene Expression Omnibus (GEO) database. Pearson's coefficients assessed the correlation between ECM-receptor interaction genes and cross talk genes. The coexpression network of co-expression pairs (CP) genes was integrated with its protein-protein interaction (PPI) network, and machine learning was employed to identify essential disease-representing genes. Finally, immuno-penetration analysis was performed on the MASH and DN gene datasets using the CIBERSORT algorithm to evaluate the plausibility of these genes in diseases. We found 19 key CP genes. Fos proto-oncogene (FOS), belonging to the IL-17 signalling pathway, showed greater centrality PPI network; Hyaluronan Mediated Motility Receptor (HMMR), belonging to ECM-receptor interaction genes, showed most critical in the co-expression network map of 19 CP genes; Forkhead Box C1 (FOXC1), like FOS, showed a high ability to predict disease in XGBoost analysis. Further immune infiltration showed a clear positive correlation between FOS/FOXC1 and mast cells that secrete IL-17 during inflammation. Combining the results of previous studies, we suggest a FOS/FOXC1/HMMR regulatory axis in MASH and DN may be associated with mast cells in the acting IL-17 signalling pathway. Extracellular HMMR may regulate the IL-17 pathway represented by FOS through the Mitogen-Activated Protein Kinase 1 (ERK) or PI3K-Akt-mTOR pathway. HMMR may serve as a signalling carrier between MASH and DN and could be targeted for therapeutic development.
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Affiliation(s)
- Chao Chen
- Instrumentation and Service Center for Science and TechnologyBeijing Normal UniversityZhuhaiChina
| | - Yuxi He
- Pediatric Research InstituteThe Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical UniversityWenzhouChina
| | - Ying Ni
- Zhuhai Branch of State Key Laboratory of Earth Surface Processes and Resource Ecology, Advanced Institute of Natural SciencesBeijing Normal UniversityZhuhaiChina
- Engineering Research Center of Natural Medicine, Ministry of Education, Advanced Institute of Natural SciencesBeijing Normal UniversityZhuhaiChina
| | - Zhanming Tang
- Zhuhai Branch of State Key Laboratory of Earth Surface Processes and Resource Ecology, Advanced Institute of Natural SciencesBeijing Normal UniversityZhuhaiChina
- Engineering Research Center of Natural Medicine, Ministry of Education, Advanced Institute of Natural SciencesBeijing Normal UniversityZhuhaiChina
| | - Wensheng Zhang
- Zhuhai Branch of State Key Laboratory of Earth Surface Processes and Resource Ecology, Advanced Institute of Natural SciencesBeijing Normal UniversityZhuhaiChina
- Engineering Research Center of Natural Medicine, Ministry of Education, Advanced Institute of Natural SciencesBeijing Normal UniversityZhuhaiChina
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Fan XT, Gao BF, Wang XF, Zhou K, Zhao Y, Yuan J. Immune infiltration is associated with pan-cancer prognostic biomarker RING finger protein 187. J Mol Recognit 2024; 37:e3071. [PMID: 38167828 DOI: 10.1002/jmr.3071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 10/30/2023] [Accepted: 11/12/2023] [Indexed: 01/05/2024]
Abstract
Cancer is associated with the highest mortality rate globally. While life-saving screening and treatments exist, better awareness is needed. RNF187, an E3 ligase regulating biological processes, belongs to the RING domain-containing E3 ligase family. RNF187 may serve as an oncogene due to abnormal expression in tumors. However, its association with immune infiltration and prognosis across various cancers remains unclear. We searched several databases including TCGA, GTE x, CCLE, TIMER, and GSEA. R software was used to evaluate RNF187 differential expression, survival, pathology stage, DNA methylation, tumor mutational burden (TMB), microsatellite instability (MSI), gene co-expression analysis, mismatch repairs (MMRs), tumor microenvironment (TME), and immune cell infiltration. Clinicopathological data were collected, and immunohistochemistry was used to verify RNF187 expression in tumor tissues. RNF187 expression was up-regulated in various cancers compared to that in normal tissues and associated with poor patient outcomes. Dysregulation of RNF187 expression in multiple cancer types was strongly correlated with DNA methylation, MMR, MSI, and TMB. RNF187 could interact with different immune cells in cancers. Biomarkers associated with RNF187 may be helpful for prognosis and immunology in treating pan-cancer patients.
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Affiliation(s)
| | | | | | - Kai Zhou
- TCM-Integrated Hospital of Zibo, Zibo, China
| | - Ying Zhao
- TCM-Integrated Hospital of Zibo, Zibo, China
| | - Jie Yuan
- TCM-Integrated Hospital of Zibo, Zibo, China
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Huang X, Meng H, Shou Z, Zhou H, Chen L, Yu J, Hu K, Bai Z, Chen C. Machine learning-mediated identification of ferroptosis-related genes in osteonecrosis of the femoral head. FEBS Open Bio 2024; 14:455-465. [PMID: 38212150 PMCID: PMC10909969 DOI: 10.1002/2211-5463.13764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 10/18/2023] [Accepted: 01/02/2024] [Indexed: 01/13/2024] Open
Abstract
Osteonecrosis of the femoral head (ONFH) is a condition caused by a disruption or damage to the femoral head's blood supply, which causes the death of bone cells and bone marrow components and prevents future regeneration. Ferroptosis, a type of controlled cell death, is caused by iron-dependent lipid peroxidation. Here, we identified ferroptosis-related genes and infiltrating immune cells involved in ONFH and predicted the underlying molecular mechanisms. The GSE123568 dataset was subjected to differential expression analysis to identify genes related to ferroptosis. Subsequently, GO and KEGG pathway enrichment analyses, as well as protein-protein interaction (PPI) network analysis, were conducted. Hub genes involved in ferroptosis were identified using machine learning and other techniques. Additionally, immune infiltration analysis and lncRNA-miRNA-mRNA network prediction analysis were performed. Finally, we determined whether ferroptosis occurred by measuring iron content. The hub genes were validated by ROC curve analysis and qRT-PCR. Four ferroptosis-related hub genes (MAPK3, PTGS2, STK11, and SLC2A1) were identified. Additionally, immune infiltration analysis revealed a strong correlation among ONFH, hub genes, and various immune cells. Finally, we predicted the network relationship between differentially expressed lncRNAs and hub genes in the lncRNA-miRNA-mRNA network. MAPK3, PTGS2, STK11, and SLC2A1 have been identified as potential ferroptosis-related biomarkers and drug targets for the diagnosis and prognosis of ONFH, while some immune cells, as well as the interaction between lncRNA, miRNA, and mRNA, have also been identified as potential pathogenesis markers and therapeutic targets.
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Affiliation(s)
- Xiaojing Huang
- Department of OrthopedicsThe First Affiliated Hospital of Wenzhou Medical UniversityChina
| | - Hongming Meng
- Department of OrthopedicsThe First Affiliated Hospital of Wenzhou Medical UniversityChina
- Wenzhou Medical UniversityChina
| | - Zeyu Shou
- Department of OrthopedicsThe First Affiliated Hospital of Wenzhou Medical UniversityChina
- Wenzhou Medical UniversityChina
| | - Han Zhou
- Department of OrthopedicsThe First Affiliated Hospital of Wenzhou Medical UniversityChina
- Wenzhou Medical UniversityChina
| | - Liangyan Chen
- Department of OrthopedicsThe First Affiliated Hospital of Wenzhou Medical UniversityChina
- Wenzhou Medical UniversityChina
| | - Jiahuan Yu
- Department of OrthopedicsThe First Affiliated Hospital of Wenzhou Medical UniversityChina
- Wenzhou Medical UniversityChina
| | - Kai Hu
- Department of OrthopedicsThe First Affiliated Hospital of Wenzhou Medical UniversityChina
- Wenzhou Medical UniversityChina
| | - Zhibiao Bai
- Department of OrthopedicsThe First Affiliated Hospital of Wenzhou Medical UniversityChina
| | - Chun Chen
- Department of OrthopedicsThe First Affiliated Hospital of Wenzhou Medical UniversityChina
- Wenzhou Medical UniversityChina
- Key Laboratory of Intelligent Treatment and Life Support for Critical Diseases of Zhejiang ProvinceWenzhouChina
- Zhejiang Engineering Research Center for Hospital Emergency and Process DigitizationWenzhouChina
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Jin S, Li J, Shen Y, Wu Y, Zhang Z, Ma H. RNA 5-Methylcytosine Regulator NSUN3 promotes tumor progression through regulating immune infiltration in head and neck squamous cell carcinoma. Oral Dis 2024; 30:313-328. [PMID: 35997137 DOI: 10.1111/odi.14357] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 08/11/2022] [Accepted: 08/14/2022] [Indexed: 11/29/2022]
Abstract
OBJECTIVE This study aimed to determine whether the RNA, 5-methylcytosine (m5C), is involved in the progression of head and neck squamous cell carcinoma (HNSCC). MATERIALS AND METHODS We used least absolute shrinkage and selection operator to establish a prognostic score (PS) model based on the m5C regulator expression. Immune scores were calculated using the estimation of stromal and immune cells in malignant tumor tissues using expression data. The biological functions of the m5C regulator, NOP2/Sun RNA methyltransferase 3 (NSUN3), were thoroughly investigated in vitro and in vivo. RESULTS The PS model acted as efficient prognostic factors in HNSCC. The expression of NSUN3, with the maximum weight, was found to be upregulated and indicated a poor prognosis. Meanwhile, NSUN3 knockdown inhibited the tumor proliferation and growth both in vitro and in vivo. High PS status was negatively correlated with CD8+ T, γδ+ T, and M1 macrophage percentages. NSUN3 knockdown increased the infiltration of M1 macrophages but decreased the percentage of M2 macrophages. CONCLUSIONS The PS index is a novel and promising biomarker for predicting the prognosis and immune infiltration microenvironment in HNSCC. Moreover, NSUN3 plays a key role in this process and may serve as a potential therapeutic target for HNSCC.
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Affiliation(s)
- Shufang Jin
- Department of Second Dental Center, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
- National Center for Stomatology, Shanghai, China
- National Clinical Research Center for Oral Diseases, Shanghai, China
- Shanghai Key Laboratory of Stomatology, Shanghai, China
| | - Jiayi Li
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
- National Center for Stomatology, Shanghai, China
- National Clinical Research Center for Oral Diseases, Shanghai, China
- Shanghai Key Laboratory of Stomatology, Shanghai, China
- Department of Oral Maxillofacial-Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yihan Shen
- Department of Second Dental Center, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
- National Center for Stomatology, Shanghai, China
- National Clinical Research Center for Oral Diseases, Shanghai, China
- Shanghai Key Laboratory of Stomatology, Shanghai, China
| | - Yiqun Wu
- Department of Second Dental Center, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
- National Center for Stomatology, Shanghai, China
- National Clinical Research Center for Oral Diseases, Shanghai, China
- Shanghai Key Laboratory of Stomatology, Shanghai, China
| | - Zhiyuan Zhang
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
- National Center for Stomatology, Shanghai, China
- National Clinical Research Center for Oral Diseases, Shanghai, China
- Shanghai Key Laboratory of Stomatology, Shanghai, China
- Department of Oral Maxillofacial-Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hailong Ma
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
- National Center for Stomatology, Shanghai, China
- National Clinical Research Center for Oral Diseases, Shanghai, China
- Shanghai Key Laboratory of Stomatology, Shanghai, China
- Department of Oral Maxillofacial-Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Chu J, Wu Y, Qu Z, Zhuang J, Liu J, Han S, Wu W, Han S. Transcriptional profile and immune infiltration in colorectal cancer reveal the significance of inducible T-cell costimulator as a crucial immune checkpoint molecule. Cancer Med 2024; 13:e7097. [PMID: 38506253 PMCID: PMC10952025 DOI: 10.1002/cam4.7097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 08/25/2023] [Accepted: 02/17/2024] [Indexed: 03/21/2024] Open
Abstract
BACKGROUND Emergence of novel immuno-therapeutics has shown promising improvement in the clinical outcome of colorectal cancer (CRC). OBJECTIVE To identify robust immune checkpoints based on expression and immune infiltration profiles of clinical CRC samples. METHODS One dataset from The Cancer Genome Atlas database and two from Gene Expression Omnibus were independently employed for the analysis. Genes associated with overall survival were identified, and distribution of each immune checkpoint with respect to different clinical features was determined to explore key immune checkpoints. Multiple staining methods were used to verify the correlation between key immune checkpoint ICOS and clinical pathological features. Differentially expressed mRNA and long non-coding RNA (lncRNA) were then detected for gene set enrichment analysis and gene set variation analysis to investigate the differentially enriched biological processes between low- and high-expression groups. Significant immune-related mRNAs and lncRNA were subjected to competing endogenous RNA (ceRNA) network analysis. Correlation of inducible T-cell costimulator (ICOS) and top 10 genes in ceRNA network were further considered for validation. RESULTS ICOS was identified from 14 immune checkpoints as the most highly correlated gene with survival and clinical features in CRC. The expression of ICOS protein in the poorly differentiated group was lower than that in the moderately differentiated group, and the expression in different pathological stages was significant. In addition, the expressions of ICOS were negatively correlated with Ki67. A conspicuous number of immune-related pathways were enriched in differentially expressed genes in the ICOS high- and low-expression groups. Integration with immune infiltration data revealed a multitude of differentially expressed immune-related genes enriched for ceRNA network. Furthermore, expression of top 10 genes investigated from ceRNA network showed high correlation with ICOS. CONCLUSION ICOS might serve as a robust immune checkpoint for prognosis with several genes being potential targets of ICOS-directed immunotherapy in CRC.
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Affiliation(s)
- Jian Chu
- Huzhou Central HospitalAffiliated Central Hospital Huzhou UniversityHuzhouChina
- Fifth School of Clinical Medicine of Zhejiang Chinese Medical University (Huzhou Central Hospital)HuzhouChina
- Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer of HuzhouHuzhouChina
| | - Yinghang Wu
- Huzhou Central HospitalAffiliated Central Hospital Huzhou UniversityHuzhouChina
- Fifth School of Clinical Medicine of Zhejiang Chinese Medical University (Huzhou Central Hospital)HuzhouChina
- Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer of HuzhouHuzhouChina
| | - Zhanbo Qu
- Huzhou Central HospitalAffiliated Central Hospital Huzhou UniversityHuzhouChina
- Fifth School of Clinical Medicine of Zhejiang Chinese Medical University (Huzhou Central Hospital)HuzhouChina
- Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer of HuzhouHuzhouChina
| | - Jing Zhuang
- Huzhou Central HospitalAffiliated Central Hospital Huzhou UniversityHuzhouChina
- Fifth School of Clinical Medicine of Zhejiang Chinese Medical University (Huzhou Central Hospital)HuzhouChina
- Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer of HuzhouHuzhouChina
| | - Jiang Liu
- Huzhou Central HospitalAffiliated Central Hospital Huzhou UniversityHuzhouChina
- Fifth School of Clinical Medicine of Zhejiang Chinese Medical University (Huzhou Central Hospital)HuzhouChina
- Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer of HuzhouHuzhouChina
| | - Shugao Han
- Second Affiliated Hospital of School of MedicineZhejiang UniversityHangzhouChina
| | - Wei Wu
- Huzhou Central HospitalAffiliated Central Hospital Huzhou UniversityHuzhouChina
- Fifth School of Clinical Medicine of Zhejiang Chinese Medical University (Huzhou Central Hospital)HuzhouChina
- Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer of HuzhouHuzhouChina
| | - Shuwen Han
- Huzhou Central HospitalAffiliated Central Hospital Huzhou UniversityHuzhouChina
- Fifth School of Clinical Medicine of Zhejiang Chinese Medical University (Huzhou Central Hospital)HuzhouChina
- Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer of HuzhouHuzhouChina
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Li Z, Li J, Wu Z, Zhu Y, Zhuo T, Nong J, Qian J, Peng H, Dai L, Wang Y, Chen M, Zeng X. Upregulation of POC1A in lung adenocarcinoma promotes tumour progression and predicts poor prognosis. J Cell Mol Med 2024; 28:e18135. [PMID: 38429900 PMCID: PMC10907829 DOI: 10.1111/jcmm.18135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 12/13/2023] [Accepted: 12/19/2023] [Indexed: 03/03/2024] Open
Abstract
Lung adenocarcinoma (LUAD) is characterized by a high incidence rate and mortality. Recently, POC1 centriolar protein A (POC1A) has emerged as a potential biomarker for various cancers, contributing to cancer onset and development. However, the association between POC1A and LUAD remains unexplored. We extracted The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) data sets to analyse the differential expression of POC1A and its relationship with clinical stage. Additionally, we performed diagnostic receiver operator characteristic (ROC) curve analysis and Kaplan-Meier (KM) survival analysis to assess the diagnostic and prognostic value of POC1A in LUAD. Furthermore, we investigated the correlation between POC1A expression and immune infiltration, tumour mutation burden (TMB), immune checkpoint expression and drug sensitivity. Finally, we verified POC1A expression using real-time quantitative polymerase chain reaction (RT-qPCR) and immunohistochemistry (IHC). Cell experiments were conducted to validate the effect of POC1A expression on the proliferation, migration and invasion of lung cancer cells. POC1A exhibited overexpression in most tumour tissues, and its overexpression in LUAD was significantly correlated with late-stage presentation and poor prognosis. The high POC1A expression group showed lower levels of immune infiltration but higher levels of immune checkpoint expression and TMB. Moreover, the high POC1A expression group demonstrated sensitivity to multiple drugs. In vitro experiments confirmed that POC1A knockdown led to decreased proliferation, migration, and invasion of lung cancer cells. Our findings suggest that POC1A may contribute to tumour development by modulating the cell cycle and immune cell infiltration. It also represents a potential therapeutic target and marker for the diagnosis and prognosis of LUAD.
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Affiliation(s)
- Zi‐Hao Li
- Department of Cardio‐Thoracic SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
| | - Jia‐Yi Li
- Geriatrics Department of Endocrinology and MetabolismThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
| | - Zuo‐Tao Wu
- Department of Cardio‐Thoracic SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
| | - Yong‐Jie Zhu
- Department of Cardio‐Thoracic SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
| | - Ting Zhuo
- Department of Respiratory MedicineThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
| | - Ju‐Sen Nong
- Department of Pediatric SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
| | - Jing Qian
- Department of Cardio‐Thoracic SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
| | - Hua‐Jian Peng
- Department of Cardio‐Thoracic SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
| | - Lei Dai
- Department of Cardio‐Thoracic SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
| | - Yong‐Yong Wang
- Department of Cardio‐Thoracic SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
| | - Ming‐Wu Chen
- Department of Cardio‐Thoracic SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
| | - Xiao‐Chun Zeng
- Department of Cardio‐Thoracic SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
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Li Z, Li Y, Liu L, Zhang C, Li X. Multiple programmed cell death patterns and immune landscapes in bladder cancer: Evidence based on machine learning and multi-cohorts. Environ Toxicol 2024; 39:1780-1801. [PMID: 38064272 DOI: 10.1002/tox.24066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 11/10/2023] [Accepted: 11/19/2023] [Indexed: 02/08/2024]
Abstract
BACKGROUND Bladder cancer (BLCA) is the most prevalent malignant neoplasm of the urinary tract, and ranks seventh as the most frequent systemic neoplasm in males. Dysregulation of programmed cell death (PCD) has been implicated in various stages of cancer progression, including tumorigenesis, invasion, and metastasis. However, the correlation between multiple PCD modes and BLCA is lacking. Thus, a risk prediction model was built based on 12 models of PCD to predict prognosis and immunotherapy response in patients with BLCA. METHODS The RNA sequencing transcriptome data of BLCA were collected from the Cancer Genome Atlas Program (TCGA) and GEO datasets. Univariate Cox and LASSO regression analyzes were performed to identify PCD-related genes (PCDRGs) significant for prognosis. Multivariate Cox regression analysis was used to develop a prognostic model for PCD. Survival analysis and chi-squared test were employed to analyze the survival variations between different risk groups. Univariate and multivariate Cox analyses were performed to evaluate the model as an independent prognostic predictor. A nomogram was formulated using both clinical data and the model to predict the survival rates of BLCA patients. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes were performed to analyze and elucidate the molecular mechanisms and pathways operating within different risk score groups. Furthermore, the immune landscape was investigated and the efficacy of various anti-tumor drugs was evaluated for BLCA. Finally, consensus clustering analysis was adopted to explore the association between different PCD clusters and clinical characteristics. RESULTS Assessment of the public datasets and multivariate Cox analysis yielded 1254 PCDRGs, of which 10 PCDRGs for BLCA were identified. Based on the PCDRGs, a prognostic model was built for BLCA patient prognosis. Compared with the low-risk group, the high-risk group had a poorer prognosis. The model predicted area under the curve (AUC) values of 0.751, 0.753, and 0.763, respectively, for 1-, 3-, and 5-year survival of BLCA patients. The nomogram further demonstrated the credibility of the prognosis model. The low-risk group patients exhibited lower TIDE scores and higher TMB scores, implying better response of the low-risk group to immunotherapy. The consensus clustering analysis indicated that compared with PCD cluster A, PCD cluster B was significantly more expressed in PCDRGs, suggesting a closer relation of PCD cluster B to PCDRGs. Patients in PCD cluster B had lower risk scores. CONCLUSION To summarize, the effects of 12 PCD patterns on BLCA were synthesized and the correlation between PCD and BLCA was explored. These findings provide new and convincing evidence for individualized treatment of BLCA, and help guide the treatment strategy and improve the prognosis of BLCA patients.
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Affiliation(s)
- Zhiwei Li
- The Second Affiliated Hospital, Department of Urology, Hengyang Medical School, University of South China, Hengyang, Hunan, China
| | - Yong Li
- The Second Affiliated Hospital, Department of Urology, Hengyang Medical School, University of South China, Hengyang, Hunan, China
| | - Li Liu
- The Second Affiliated Hospital, Department of Urology, Hengyang Medical School, University of South China, Hengyang, Hunan, China
| | - Chiteng Zhang
- The Second Affiliated Hospital, Department of Urology, Hengyang Medical School, University of South China, Hengyang, Hunan, China
| | - Xiucheng Li
- The Second Affiliated Hospital, Department of Urology, Hengyang Medical School, University of South China, Hengyang, Hunan, China
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Qiu X, Teng J, Wang N, Cao L, Cheng C, Su C, Dong Y, Wang F, Chen W. Transcriptomic analysis reveals the potential crosstalk genes and immune relationship between Crohn's disease and atrial fibrillation. J Thorac Dis 2024; 16:1247-1261. [PMID: 38505024 PMCID: PMC10944785 DOI: 10.21037/jtd-23-1078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 01/12/2024] [Indexed: 03/21/2024]
Abstract
Background At present, there is a paucity of research on the link between Crohn's disease (CD) and atrial fibrillation (AF). Nevertheless, both ailments are thought to entail inflammatory and autoimmune processes, and emerging evidence indicates that individuals with CD may face an elevated risk of AF. To shed light on this issue, our study seeks to explore the possibility of shared genes, pathways, and immune cells between these two conditions. Methods We retrieved the gene expression profiles of both CD and AF from the Gene Expression Omnibus (GEO) database and subjected them to analysis. Afterward, we utilized the weighted gene co-expression network analysis (WGCNA) to identify shared genes, which were then subjected to further Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. Furthermore, we employed a rigorous analytical approach by screening hub genes through both least absolute shrinkage and selection operator (LASSO) regression and support vector machine (SVM), and subsequently constructing a receiver operating characteristic (ROC) curve based on the screening outcomes. Finally, we utilized single-sample gene set enrichment analysis (ssGSEA) to comprehensively evaluate the levels of infiltration of 28 immune cells within the expression profile and their potential association with the shared hub genes. Results Using the WGCNA method, we identified 30 genes that appear to be involved in the pathological progression of both AF and CD. Through GO enrichment analysis on the key gene modules derived from WGCNA, we observed a significant enrichment of pathways related to major histocompatibility complex (MHC) and antigen processing. By leveraging the intersection of LASSO and SVM algorithms, we were able to pinpoint two overlapping genes, namely CXCL16 and HLA-DPB1. Additionally, we evaluated the infiltration of immune cells and observed the upregulation of CD4+ and CD8+ T cells, as well as dendritic cells in patients with AF and CD. Conclusions By employing bioinformatics tools, we conducted an investigation with the objective of elucidating the genetic foundations that connect AF and CD. This study culminated in the identification of CXCL16 and HLA-DPB1 as the most substantial genes implicated in the development of both disorders. Our findings suggest that the immune responses mediated by CD4+ and CD8+ T cells, along with dendritic cells, may hold a crucial role in the intricate interplay between AF and CD.
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Affiliation(s)
- Xiaohan Qiu
- National Key Laboratory for Innovation and Transformation of Luobing Theory, the Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Jinan, China
- Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Junlin Teng
- National Key Laboratory for Innovation and Transformation of Luobing Theory, the Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Jinan, China
- Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Ning Wang
- National Key Laboratory for Innovation and Transformation of Luobing Theory, the Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Jinan, China
- Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Luying Cao
- National Key Laboratory for Innovation and Transformation of Luobing Theory, the Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Jinan, China
- Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Congyi Cheng
- National Key Laboratory for Innovation and Transformation of Luobing Theory, the Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Jinan, China
- Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Cong Su
- National Key Laboratory for Innovation and Transformation of Luobing Theory, the Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Jinan, China
- Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Youran Dong
- National Key Laboratory for Innovation and Transformation of Luobing Theory, the Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Jinan, China
- Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Fen Wang
- National Key Laboratory for Innovation and Transformation of Luobing Theory, the Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Jinan, China
- Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Wenqiang Chen
- National Key Laboratory for Innovation and Transformation of Luobing Theory, the Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Jinan, China
- Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
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Luo L, Li Y, Zhang L, Yang L. NME6 as a potential biomarker and therapeutic target involved in immune infiltration for lung adenocarcinoma. Technol Health Care 2024:THC231058. [PMID: 38517815 DOI: 10.3233/thc-231058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/24/2024]
Abstract
BACKGROUND Lung adenocarcinoma (LUAD), a prevalent form of lung cancer, is characterized by its high global mortality rate. Previous studies have demonstrated the significance of Nucleoside diphosphate kinase (NME) in various cancers; however, the specific role of NME6 in LUAD remains inadequately understood. OBJECTIVE This research aims to enhance our understanding of LUAD by investigating the expression level, epigenetic mechanism, signaling activities, and immune infiltrating characteristic immune cells of NME6 in patients. METHODS The NME6 expression was explored between LUAD and normal tissue samples using GEPIA, UALCAN and HPA databases. The survival analysis was performed by Kaplan-Meier plotter. The Shiny Methylation Analysis Resource Tool was employed to examine the methylation characteristics of NME6. The Tumor Immune Single-cell Hub (TISCH) and CIBERSORT algorithm were utilized to analyze immune infiltrating characteristic immune cells between NME6 high- and low-expression group in LUAD. RESULTS According to GEPIA, UALCAN, and HPA databases, NME6 is highly expressed in LUAD compared to normal tissues. At the same time, elevated levels of NME6 were found to be significantly correlated with inferior overall survival outcomes in LUAD patients. Subsequently, the top 10 genes interacted with NME6 were mainly involved in seven pathways, such as p53 signaling pathway, glutathione metabolism, thiamine metabolism, metabolic pathways, and drug metabolism. Notably, NME6 methylation in LUAD samples was lower than in normal samples. The methylation of cg04625862 has a significant impact on the regulation of NME6 expression in LUAD. Furthermore, high NME6 expression in LUAD was associated with tumor stages and relative abundance of tumor infiltrating immune cells, such as Macrophage M2, activated mast cell, and neutrophil. Moreover, NME6 regulated the expression of m6A modification of genes related to LUAD, including METTL3, WTAP, RBM15B, METTL14, RBMX, VIRMA, YTHDC1, RBM15, ZC3H13, YTHDF1, YTHDC2, IGF2BP2, YTHDF3, HNRNPA2B1, YTHDF2, HNRNPC, FTO, and ALKBH5. CONCLUSION The analysis showed that NME6 is a crucial prognostic factor for LUAD patients. NME6 regulates genes related to m6A modification and immune cells infiltration. Furthermore, NME6 could sever as a potential therapeutic target for LUAD.
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Affiliation(s)
- Linjie Luo
- Department of Critical Care Medicine, Wenjiang District People's Hospital of Chengdu, Chengdu, Sichuan, China
- Department of Critical Care Medicine, Wenjiang District People's Hospital of Chengdu, Chengdu, Sichuan, China
| | - Ying Li
- Department of Respiratory and Critical Care Medicine, Wenjiang District People's Hospital of Chengdu, Chengdu, Sichuan, China
- Department of Critical Care Medicine, Wenjiang District People's Hospital of Chengdu, Chengdu, Sichuan, China
| | - Lin Zhang
- Department of Respiratory and Critical Care Medicine, Wenjiang District People's Hospital of Chengdu, Chengdu, Sichuan, China
- Department of Critical Care Medicine, Wenjiang District People's Hospital of Chengdu, Chengdu, Sichuan, China
| | - Lijie Yang
- Prevention and Treatment Center, Teaching Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
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Qi L, Chen S, Liao Z, Fan M, Zhang J, Gao Y, Shen J, Sun Y, Wang Q. Comprehensive characterization of Fidgetin on tumor immune microenvironment evaluation and immunotherapy in human hepatocellular carcinoma. Aging (Albany NY) 2024; 16:4445-4468. [PMID: 38421251 DOI: 10.18632/aging.205598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 01/29/2024] [Indexed: 03/02/2024]
Abstract
Most cancers have a downregulation of Fidgetin (FIGN), which has been linked to tumor growth. However, there aren't many papers that mention FIGN's connection to hepatocellular carcinoma (HCC). Here, FIGN expression in HCC tissues was markedly reduced as compared to nearby normal liver tissues. According to univariate and multivariate Cox regression, it served as an independent predictor of survival outcomes. Patients with high levels of FIGN expression had a worse outcome. FIGN was shown to be engaged in immune-related pathways and to have a positive correlation with immunological score and immune cells according to KEGG pathway analysis. In HCC patients, FIGN was substantially linked with immunological checkpoints and the hot tumor state. Additionally, immunotherapy and chemotherapy showed a significant therapeutic response in HCC patients with low FIGN expression. This research revealed that FIGN expression was tightly related to hepatoma immunity and might be employed as a biomarker to predict patient prognosis and guide medication.
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Affiliation(s)
- Longju Qi
- Laboratory Animal Center, Medical School, Nantong University, Nantong, China
- Affiliated Nantong Hospital 3 of Nantong University, Nantong University, Nantong, China
| | - Shiyuan Chen
- Laboratory Animal Center, Medical School, Nantong University, Nantong, China
| | - Zehua Liao
- Laboratory Animal Center, Medical School, Nantong University, Nantong, China
| | - Mengjie Fan
- Laboratory Animal Center, Medical School, Nantong University, Nantong, China
| | - Jiayi Zhang
- Laboratory Animal Center, Medical School, Nantong University, Nantong, China
| | - Yuan Gao
- Laboratory Animal Center, Medical School, Nantong University, Nantong, China
| | - Jiabao Shen
- Laboratory Animal Center, Medical School, Nantong University, Nantong, China
| | - Yuyu Sun
- Affiliated Nantong Hospital 3 of Nantong University, Nantong University, Nantong, China
| | - Qinghua Wang
- Laboratory Animal Center, Medical School, Nantong University, Nantong, China
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Lin W, Zhang S, Gu C, Zhu H, Liu Y. GLIPR2: a potential biomarker and therapeutic target unveiled - Insights from extensive pan-cancer analyses, with a spotlight on lung adenocarcinoma. Front Immunol 2024; 15:1280525. [PMID: 38476239 PMCID: PMC10929020 DOI: 10.3389/fimmu.2024.1280525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Accepted: 02/12/2024] [Indexed: 03/14/2024] Open
Abstract
Background Glioma pathogenesis related-2 (GLIPR2), an emerging Golgi membrane protein implicated in autophagy, has received limited attention in current scholarly discourse. Methods Leveraging extensive datasets, including The Cancer Genome Atlas (TCGA), Genotype Tissue Expression (GTEx), Human Protein Atlas (HPA), and Clinical Proteomic Tumor Analysis Consortium (CPTAC), we conducted a comprehensive investigation into GLIPR2 expression across diverse human malignancies. Utilizing UALCAN, OncoDB, MEXPRESS and cBioPortal databases, we scrutinized GLIPR2 mutation patterns and methylation landscapes. The integration of bulk and single-cell RNA sequencing facilitated elucidation of relationships among cellular heterogeneity, immune infiltration, and GLIPR2 levels in pan-cancer. Employing ROC and KM analyses, we unveiled the diagnostic and prognostic potential of GLIPR2 across diverse cancers. Immunohistochemistry provided insights into GLIPR2 expression patterns in a multicenter cohort spanning various cancer types. In vitro functional experiments, including transwell assays, wound healing analyses, and drug sensitivity testing, were employed to delineate the tumor suppressive role of GLIPR2. Results GLIPR2 expression was significantly reduced in neoplastic tissues compared to its prevalence in healthy tissues. Copy number variations (CNV) and alterations in methylation patterns exhibited discernible correlations with GLIPR2 expression within tumor tissues. Moreover, GLIPR2 demonstrated diagnostic and prognostic implications, showing pronounced associations with the expression profiles of numerous immune checkpoint genes and the relative abundance of immune cells in the neoplastic microenvironment. This multifaceted influence was evident across various cancer types, with lung adenocarcinoma (LUAD) being particularly prominent. Notably, patients with LUAD exhibited a significant decrease in GLIPR2 expression within practical clinical settings. Elevated GLIPR2 expression correlated with improved prognostic outcomes specifically in LUAD. Following radiotherapy, LUAD cases displayed an increased presence of GLIPR2+ infiltrating cellular constituents, indicating a notable correlation with heightened sensitivity to radiation-induced therapeutic modalities. A battery of experiments validated the functional role of GLIPR2 in suppressing the malignant phenotype and enhancing treatment sensitivity. Conclusion In pan-cancer, particularly in LUAD, GLIPR2 emerges as a promising novel biomarker and tumor suppressor. Its involvement in immune cell infiltration suggests potential as an immunotherapeutic target.
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Affiliation(s)
- Wei Lin
- Cancer Research Center Nantong, Affiliated Tumor Hospital of Nantong University, Nantong, China
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and Institute of Neuroscience, Soochow University, Suzhou, China
| | - Siming Zhang
- Cancer Research Center Nantong, Affiliated Tumor Hospital of Nantong University, Nantong, China
| | - Chunyan Gu
- Department of Pathology, Affiliated Nantong Hospital 3 of Nantong University (Nantong Third People’s Hospital), Nantong, China
| | - Haixia Zhu
- Cancer Research Center Nantong, Affiliated Tumor Hospital of Nantong University, Nantong, China
| | - Yuan Liu
- Cancer Research Center Nantong, Affiliated Tumor Hospital of Nantong University, Nantong, China
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Ma R, Sun D, Wang Y, Huang X, Ye Q. Cuproptosis-Associated Hub Gene Identification and Immune Cell Infiltration Patterns in Silicosis. Toxicology 2024:153762. [PMID: 38403151 DOI: 10.1016/j.tox.2024.153762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 02/21/2024] [Accepted: 02/22/2024] [Indexed: 02/27/2024]
Abstract
Recent research has hinted at a potential connection between silicosis, a fibrotic lung disease caused by exposure to crystalline silica particles, and cuproptosis. The aim of the study was to explore how cuproptosis-related genes (CRGs) may influence the development of silicosis and elucidate the underlying mechanisms. An analysis of genes associated with both silicosis and cuproptosis was conducted. Key gene identification was achieved through the application of two machine learning techniques. Additionally, the correlation between these key genes and immune cell populations was explored and the critical pathways were discerned. To corroborate our findings, the expression of key genes was verified in both a publicly available silica-induced mouse model and our own silicosis mouse model. A total of 12 differentially expressed CRGs associated with silicosis were identified. Further analysis resulted in the identification of 6 CRGs, namely LOX, SPARC, MOXD1, ALB, MT-CO2, and AOC2. Elevated immune cell infiltration of CD8 T cells, regulatory T cells, M0 macrophages, and neutrophils in silicosis patients compared to healthy controls was indicated. Validation in a silica-induced pulmonary fibrosis mouse model supported SPARC and MT-CO2 as potential signature genes for the prediction of silicosis. These findings highlight a strong association between silicosis and cuproptosis. Among CRGs, LOX, SPARC, MOXD1, ALB, MT-CO2, and AOC2 emerged as pivotal players in the context of silicosis by modulating CD8 T cells, regulatory T cells, M0 macrophages, and neutrophils.
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Affiliation(s)
- Ruimin Ma
- Department of Occupational Medicine and Toxicology, Clinical Center for Interstitial Lung Diseases, Beijing Institute of Respiratory Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China; Department of Respiratory Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Di Sun
- Department of Occupational Medicine and Toxicology, Clinical Center for Interstitial Lung Diseases, Beijing Institute of Respiratory Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Yuanying Wang
- Department of Occupational Medicine and Toxicology, Clinical Center for Interstitial Lung Diseases, Beijing Institute of Respiratory Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Xiaoxi Huang
- Medical Research Center, Beijing Institute of Respiratory Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Qiao Ye
- Department of Occupational Medicine and Toxicology, Clinical Center for Interstitial Lung Diseases, Beijing Institute of Respiratory Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
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Tang K, Sun L, Chen L, Feng X, Wu J, Guo H, Zheng Y. Bioinformatics Analysis and Experimental Validation of Mitochondrial Autophagy Genes in Knee Osteoarthritis. Int J Gen Med 2024; 17:639-650. [PMID: 38414629 PMCID: PMC10898481 DOI: 10.2147/ijgm.s444847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Accepted: 02/06/2024] [Indexed: 02/29/2024] Open
Abstract
Background Mitochondrial autophagy is closely related to the pathogenesis of osteoarthritis, In order to explore the role of mitochondrial autophagy related genes in knee osteoarthritis (KOA) and its molecular mechanism. Methods KOA-related transcriptome data were extracted from the Gene Expression Omnibus (GEO) database. Differentially expressed mitochondrial autophagy gene (DEMGs) were screened in patients with KOA by differential expression analysis. The STRING website was used to construct a protein-protein interaction (PPI) network among DEMGs. Molecular complex detection (MCODE) method in Cytoscape software was performed to identify hub DEMGs. Support vector machine recursive feature elimination (SVM-RFE) method was used to construct the hub DEMG diagnosis model. Genes with diagnostic value were identified as biomarkers by plotting receiver operating characteristic (ROC) curves and Expression validation. CIBERSORT algorithm was used to calculate the proportion of 22 immune cells in each sample in the GSE114007 dataset. Finally, biomarker expression was verified by qPCR. Results A total of 15 DEMGs were obtained and enrichment analyses showed that these DEMG strains were mainly enriched in the mitophagy-animal, shigellosis, autophagy-animal and FoxO signal pathways. The PPI network unveiled 13 DEMGs with interactions. In addition, 8 hub DEMGs (ULK1, CALCOCO2, MAP1LC3B, BNIP3L, GABARAPL1, BNIP3, FKBP8 and FOXO3) were obtained for KOA. And 5 model DEMGs (BNIP3L, BNIP3, MAP1LC3B, ULK1 and FOXO3) were screened. The ROC curves revealed that BNIP3 and FOXO3 has strong diagnostic value in these models of DEMG. Immune-infiltration and correlation analysis showed that BNIP3 and FOXO3 were significantly correlated with three different immune cells, including primary B cells, M0 macrophage and M2 macrophage. The cartilage tissue samples qPCR verification results show that FOXO3 and BNIP3 were all down-regulated in KOA (p < 0.01), and the validation results are consistent with the above analysis. Conclusion BNIP3 and FOXO3 have been identified as biomarkers for the diagnosis of KOA, which might supply a new insight for the pathogenesis and treatment of KOA.
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Affiliation(s)
- Kuihan Tang
- Department of Orthopedics, Beijing Jishuitan Hospital Guizhou Hospital, Guiyang, 550014, People’s Republic of China
| | - Li Sun
- Department of Orthopedics, Guizhou Provincial People’s Hospital, Guiyang, 550000, People’s Republic of China
| | - Long Chen
- Department of Orthopedics, Guizhou Provincial People’s Hospital, Guiyang, 550000, People’s Republic of China
| | - Xiaobo Feng
- Department of Orthopedics, Beijing Jishuitan Hospital Guizhou Hospital, Guiyang, 550014, People’s Republic of China
| | - Jiarui Wu
- Department of Orthopedics, Guizhou Provincial People’s Hospital, Guiyang, 550000, People’s Republic of China
| | - Hao Guo
- Department of Orthopedics, Guizhou Provincial People’s Hospital, Guiyang, 550000, People’s Republic of China
| | - Yong Zheng
- Department of Orthopedics, Beijing Jishuitan Hospital Guizhou Hospital, Guiyang, 550014, People’s Republic of China
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Ding JJ, Wu J, Bian HL, Zong Y, Lu B, Ni L. A Comprehensive Prognostic and Immune Infiltration Analysis of RBM4 in Pan-Cancer. FRONT BIOSCI-LANDMRK 2024; 29:89. [PMID: 38420804 DOI: 10.31083/j.fbl2902089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 11/02/2023] [Accepted: 11/24/2023] [Indexed: 03/02/2024]
Abstract
BACKGROUND Aberrant splicing has been closely associated with human cancer, though the precise underlying mechanisms linking the two remain not fully understood. Investigating the role of splicing factors in cancer progression may aid in the development of targeted therapies for dysregulated splicing, thereby opening up new avenues for cancer treatment. RNA-binding motif 4 (RBM4) has been identified as a critical participant in the condensin II complex, which is involved in chromosome condensation and stabilization during mitosis. Its significance in tumors is currently gaining attention. The genetic characteristics of RBM4 suggest its potential to elucidate the malignant progression of tumors in a broader context, encompassing various types of cancer, known as pan-cancer. METHODS This study aims to comprehensively explore the potential function of RBM4 in pan-cancer by leveraging existing databases such as The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx). RESULTS RBM4 is found to be overexpressed in almost all tumors and exhibits significant prognostic and diagnostic efficacy. The correlation between RBM4 and immune signatures, including immune cell infiltration and immune checkpoint genes, indicates that RBM4 could serve as a guiding factor for immunotherapy. CONCLUSIONS As a member of the pan-oncogene, RBM4 has the potential to become a biomarker and therapeutic target for various malignant tumors, offering novel possibilities for precision medicine.
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Affiliation(s)
- Jia-Jun Ding
- Department of Operating Room, Shanghai East Hospital, School of Medicine, Tongji University, 200120 Shanghai, China
| | - Jie Wu
- Department of Anesthesiology, Shanghai East Hospital, School of Medicine, Tongji University, 200120 Shanghai, China
| | - Hai-Lei Bian
- Department of Operating Room, Shanghai East Hospital, School of Medicine, Tongji University, 200120 Shanghai, China
| | - Yi Zong
- Department of Nursing, Renji Hospital, School of Medicine, Shanghai Jiaotong University, 200127 Shanghai, China
| | - Bing Lu
- Department of Gastrointestinal Surgery, Shanghai East Hospital, School of Medicine, Tongji University, 200120 Shanghai, China
| | - Li Ni
- Department of Nursing, Shanghai East Hospital, School of Medicine, Tongji University, 200120 Shanghai, China
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Gan L, Li Y. Clinical Efficacy and Mechanism of Vitamin D2 in Treating Hashimoto's Thyroiditis. J Inflamm Res 2024; 17:1193-1210. [PMID: 38410421 PMCID: PMC10896103 DOI: 10.2147/jir.s441120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 01/30/2024] [Indexed: 02/28/2024] Open
Abstract
Objective Hashimoto's thyroiditis (HT) is one of the most common autoimmune diseases, with the highest incidence rate among autoimmune thyroid disorders. Vitamin D2 may have therapeutic effects on HT. This study aimed to elucidate the molecular mechanisms underlying vitamin D2 therapy for HT. Methods Differentially expressed genes (DEGs) associated with vitamin D2-treated HT were identified, and the DEG-associated gene enrichment pathway was explored using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. The correlation between the hub genes and infiltrating immune cells was investigated, and the interactions among the hub genes and target drug and competing endogenous RNA (ceRNA; long non-coding RNA [lncRNA]-microRNA [miRNA]-messenger RNA [mRNA]) regulatory networks were determined. Results GO and KEGG enrichment analyses identified a total of 102 DEGs (6 upregulated and 96 downregulated) in the vitamin D2-treated group samples. The area under the curve values of the identified 10 hub genes was as follows: CCR1(0.920), CXCL1 (0.960), CXCL8 (0.960), EGR1 (0.960), FCGR3B (0.920), FOS (1.000), FPR1 (0.840), MMP9 (0.720), PTGS2 (0.960), and TREM1 (1.000). The immune enrichment scores of the mast cell (P = 0.008), neutrophil (P = 0.016), and plasmacytoid dendritic cell (P = 0.016) were significantly decreased in the vitamin D2-treated group (P < 0.05). The hub gene/drug regulatory network included 8 hub genes, 108 molecular drugs, and 114 interaction relationship pairs. The ceRNA regulatory network included 129 lncRNAs, 145 miRNAs, mRNAs (hub genes), and 324 interaction relationship pairs. Conclusion Vitamin D2 may play an immunomodulatory role by regulating the aforementioned immune-related molecules and immune cells, thereby improving its therapeutic effects on HT.
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Affiliation(s)
- Lu Gan
- Department of Endocrinology, General Hospital of Ningxia Medical University, Yinchuan City, 750000, People's Republic of China
| | - Yuqi Li
- Department of Endocrinology, General Hospital of Ningxia Medical University, Yinchuan City, 750000, People's Republic of China
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Wang L, Liu X. Multi-Omics Analysis of the Oncogenic Value of Pituitary Tumor-Transforming Gene 1 ( PTTG1) in Human Cancers. FRONT BIOSCI-LANDMRK 2024; 29:87. [PMID: 38420810 DOI: 10.31083/j.fbl2902087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 11/28/2023] [Accepted: 12/04/2023] [Indexed: 03/02/2024]
Abstract
BACKGROUND The pituitary tumor-transforming gene 1 (PTTG1), also recognized as securin, plays a crucial role in diverse biological processes, such as restraining sister chromatid segregation, facilitating DNA repair, contributing to organ development, and governing angiogenesis. Additionally, it regulates the expression and secretion of transfer factors. The epigenetic characteristics of PTTG1 suggest its potential in elucidating the progression of malignant tumors in pan-cancer. Nevertheless, the current comprehension of this relationship remains limited, necessitating further comprehensive studies to delve into the underlying pathogenesis. METHODS This investigation aimed to explore the potential functions of PTTG1 in pan-cancer by leveraging existing databases, such as TCGA and GTEx. Notably, PTTG1 was overexpressed in nearly all tumors, indicating promising prognostic and diagnostic capabilities. Moreover, the observed correlation between PTTG1 and immune cell infiltration, immune checkpoint genes, tumor mutational burden (TMB), microsatellite instability (MSI), and other immune features suggests its potential utility as a guide for immunotherapy. RESULTS The study unveils that the downregulation of PTTG1 expression in neuroblastoma results in reduced cell proliferation and increased apoptosis, substantiating the proposition that PTTG1 could serve as both a prognostic biomarker and a potential target for immunotherapy across various cancer types. CONCLUSIONS This study centers on the exploration of the expression and role of PTTG1 in both tumors and the tumor microenvironment (TME), offering valuable insights for the development of cancer therapeutic strategies. These discoveries present potential alternative avenues for addressing clinically resistant cancers.
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Affiliation(s)
- Lulu Wang
- Department of General Practice, Yangpu Hospital, School of Medicine, Tongji University, 200090 Shanghai, China
| | - Xiaowei Liu
- Department of Spinal Surgery, Shanghai East Hospital, School of Medicine, Tongji University, 200092 Shanghai, China
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