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Wang X, Jin L, Zhang X, Li M, Zhu A, Zhang M, Fan H. Transcriptomic profiling and risk assessment in bladder cancer: Insights from copper death-related genes. Cell Signal 2024; 121:111237. [PMID: 38810861 DOI: 10.1016/j.cellsig.2024.111237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2024] [Revised: 05/23/2024] [Accepted: 05/26/2024] [Indexed: 05/31/2024]
Abstract
BACKGROUND The study aimed to investigate the role of copper death-related genes (CRGs) in bladder cancer (BC) for improved prognosis assessment. METHODS Multi-omics techniques were utilized to analyze CRG expression in BC tissues from TCGA and GEO databases. Consensus clustering categorized patients into molecular subtypes based on clinical characteristics and immune cell infiltration. RESULTS An innovative risk assessment model identified eight critical genes associated with BC risk. In vitro and in vivo experiments validated LIPT1's significant impact on copper-induced cell death, proliferation, migration, and invasion in BC. CONCLUSION This multi-omics analysis elucidates the pivotal role of CRGs in BC progression, suggesting enhanced risk assessment through molecular subtype categorization and identification of key genes like LIPT1. Insights into these mechanisms offer the potential for improved diagnosis and treatment strategies for BC patients.
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Affiliation(s)
- Xu Wang
- Department of Urology, The Second Hospital of Jilin University, Changchun 130022, PR China
| | - Long Jin
- Department of Urology, The Second Hospital of Jilin University, Changchun 130022, PR China
| | - Xiaoyu Zhang
- Department of Urology, The Second Hospital of Jilin University, Changchun 130022, PR China
| | - Mingyu Li
- Department of Urology, The Second Hospital of Jilin University, Changchun 130022, PR China
| | - Ankang Zhu
- Department of Urology, The Second Hospital of Jilin University, Changchun 130022, PR China
| | - Ming Zhang
- Department of Urology, The Second Hospital of Jilin University, Changchun 130022, PR China
| | - Haitao Fan
- Department of Urology, The Second Hospital of Jilin University, Changchun 130022, PR China.
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Berrell N, Monkman J, Donovan M, Blick T, O'Byrne K, Ladwa R, Tan CW, Kulasinghe A. Spatial resolution of the head and neck cancer tumor microenvironment to identify tumor and stromal features associated with therapy response. Immunol Cell Biol 2024. [PMID: 39048134 DOI: 10.1111/imcb.12811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 05/29/2024] [Accepted: 07/05/2024] [Indexed: 07/27/2024]
Abstract
Head and neck cancer (HNC) is the seventh most common cancer globally, resulting in 440 000 deaths per year. While there have been advancements in chemoradiotherapy and surgery, relapse occurs in more than half of HNCs, and these patients have a median survival of 10 months and a 2-year survival of < 20%. Only a subset of patients displays durable benefits from immunotherapies in metastatic and recurrent HNC, making it critical to understand the tumor microenvironment (TME) underpinning therapy responses in HNC. To recognize biological differences within the TME that may be predictive of immunotherapy response, we applied cutting-edge geospatial whole-transcriptome profiling (NanoString GeoMx Digital Spatial Profiler) and spatial proteomics profiling (Akoya PhenoCycler-Fusion) on a tumor microarray consisting of 25 cores from 12 patients that included 4 immunotherapy-unresponsive (8 cores) and 2 immunotherapy-responsive patients (5 cores), as well as 6 immunotherapy naïve patients (12 cores). Through high-plex, regional-based transcriptomic mapping of the tumor and TME, pathways involved with the complement system and hypoxia were identified to be differentially expressed in patients who went on to experience a poor immunotherapy response. Single-cell, targeted proteomic analysis found that immune cell infiltration of the cancer cell mass and interactions of CD8 T cells with tumor and other immune cells were associated with positive immunotherapy response. The relative abundance of specific tumor phenotypes and their interactions with various immune cells was identified to be different between response groups. This study demonstrates how spatial transcriptomics and proteomics can resolve novel alterations in the TME of HNC that may contribute to therapy sensitivity and resistance.
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Affiliation(s)
- Naomi Berrell
- Frazer Institute, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
- Wesley Research Institute, Level 8 East Wing, The Wesley Hospital, Auchenflower, QLD, Australia
| | - James Monkman
- Frazer Institute, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Meg Donovan
- Wesley Research Institute, Level 8 East Wing, The Wesley Hospital, Auchenflower, QLD, Australia
| | - Tony Blick
- Frazer Institute, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Ken O'Byrne
- Princess Alexandra Hospital, Brisbane, QLD, Australia
| | - Rahul Ladwa
- Frazer Institute, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
- Princess Alexandra Hospital, Brisbane, QLD, Australia
| | - Chin Wee Tan
- Frazer Institute, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
- Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Melbourne, VIC, Australia
- Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC, Australia
| | - Arutha Kulasinghe
- Frazer Institute, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
- Wesley Research Institute, Level 8 East Wing, The Wesley Hospital, Auchenflower, QLD, Australia
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Wei M, Lu L, Luo Z, Ma J, Wang J. Prognostic analysis of hepatocellular carcinoma based on cuproptosis -associated lncRNAs. BMC Gastroenterol 2024; 24:142. [PMID: 38654165 DOI: 10.1186/s12876-024-03219-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 04/01/2024] [Indexed: 04/25/2024] Open
Abstract
OBJECTIVES Cuproptosis represents an innovative type of cell death, distinct from apoptosis, driven by copper dependency, yet the involvement of copper apoptosis-associated long non-coding RNAs (CRLncRNAs) in hepatocellular carcinoma (HCC) remains unclear. This study is dedicated to unveiling the role and significance of these copper apoptosis-related lncRNAs within the context of HCC, focusing on their impact on both the development of the disease and its prognosis. METHODS We conducted an analysis of gene transcriptomic and clinical data for HCC cases by sourcing information from The Cancer Genome Atlas database. By incorporating cuproptosis-related genes, we established prognostic features associated with cuproptosis-related lncRNAs. Furthermore, we elucidated the mechanism of cuproptosis-related lncRNAs in the prognosis and treatment of HCC through comprehensive approaches, including Lasso and Cox regression analyses, survival analyses of samples, as well as examinations of tumor mutation burden and immune function. RESULTS We developed a prognostic model featuring six cuproptosis-related lncRNAs: AC026412.3, AC125437.1, AL353572.4, MKLN1-AS, TMCC1-AS1, and SLC6A1-AS1. This model demonstrated exceptional prognostic accuracy in both training and validation cohorts for patients with tumors, showing significantly longer survival times for those categorized in the low-risk group compared to the high-risk group. Additionally, our analyses, including tumor mutation burden, immune function, Gene Ontology, Kyoto Encyclopedia of Genes and Genomes pathway enrichment, and drug sensitivity, further elucidated the potential mechanisms through which cuproptosis-associated lncRNAs may influence disease outcome. CONCLUSIONS The model developed using cuproptosis-related long non-coding RNAs (lncRNAs) demonstrates promising predictive capabilities for both the prognosis and immunotherapy outcomes of tumor patients. This could play a crucial role in patient management and the optimization of immunotherapeutic strategies, offering valuable insights for future research.
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Affiliation(s)
- Mingwei Wei
- Guangxi Clinical Medical Research Center for Hepatobiliary Diseases, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
- Department of Hepatobiliary and Pancreatic Surgery, Baidong Hospital, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
| | - Libai Lu
- Department of Hepatobiliary and Pancreatic Surgery, Baidong Hospital, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
| | - Zongjiang Luo
- Department of Hepatobiliary and Pancreatic Surgery, Baidong Hospital, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
| | - Jiasheng Ma
- Department of Hepatobiliary and Pancreatic Surgery, Baidong Hospital, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
| | - Jianchu Wang
- Guangxi Clinical Medical Research Center for Hepatobiliary Diseases, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
- Department of Hepatobiliary and Pancreatic Surgery, Baidong Hospital, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
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Gao Y, Zhou L, Su Q, Li Q. Identification of Lung Adenocarcinoma Subtypes Based on MHC-II Gene Expression Profile and Immunological Analysis. Int Arch Allergy Immunol 2024:1-16. [PMID: 38636483 DOI: 10.1159/000538056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 02/26/2024] [Indexed: 04/20/2024] Open
Abstract
INTRODUCTION Major histocompatibility complex class II molecule (MHC-II) is pivotal in anti-tumor immunity, and targeting MHC-II in tumors may help improve patient survival. But function of MHC-II in the immunotherapy and prognosis of lung adenocarcinoma (LUAD) patients has not been thoroughly studied and reported. METHODS We selected LUAD-related MHC-II genes from public databases based on previous literature reports. We identified different subtypes according to expression differences of these genes in different LUAD samples through cluster analysis. We used R package to conduct a series of analyses on different subtypes, exploring their survival differences, gene expression differences, pathway enrichment differences, and differences in immune characteristics and immune therapy. Finally, we screened potential drugs from the cMAP database. RESULTS We identified two MHC-II-related LUAD subtypes. Our analyses presented that patients with cluster2 subtype showed better prognosis, higher immune scores, higher levels of immune cell infiltration and immune function activation. In addition, patients with this subtype had higher immunophenoscore, lower TIDE scores, and DEPTH scores. We also identified 10 small molecule drugs, such as lenalidomide, VX-745, and tyrphostin-AG-1295. CONCLUSION Overall, MHC-II is not only a potential biomarker for accurately distinguishing LUAD subtypes but also a predictive factor for their survival. Our study offers novel insights into understanding of impact of MHC-II in LUAD and offers a new perspective for improving the accurate classification of LUAD patients and enhancing drug treatment.
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Affiliation(s)
- Yongcai Gao
- Department of Respiratory Medicine, Suizhou Hospital, Hubei University of Medicine, Suizhou, China
| | - Lingli Zhou
- Department of Respiratory Medicine, Suizhou Hospital, Hubei University of Medicine, Suizhou, China
| | - Qiong Su
- Department of Respiratory Medicine, Suizhou Hospital, Hubei University of Medicine, Suizhou, China
| | - Qiang Li
- Department of Neurosurgery Medicine, Suizhou Hospital, Hubei University of Medicine, Suizhou, China
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Luo J, Jin G, Cui S, Wang H, Liu Q. Regulatory mechanism of FCGR2A in macrophage polarization and its effects on intervertebral disc degeneration. J Physiol 2024; 602:1341-1369. [PMID: 38544414 DOI: 10.1113/jp285871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Accepted: 03/01/2024] [Indexed: 04/04/2024] Open
Abstract
Intervertebral disc degeneration (IDD) poses a significant health burden, necessitating a deeper understanding of its molecular underpinnings. Transcriptomic analysis reveals 485 differentially expressed genes (DEGs) associated with IDD, underscoring the importance of immune regulation. Weighted gene co-expression network analysis (WGCNA) identifies a yellow module strongly correlated with IDD, intersecting with 197 DEGs. Protein-protein interaction (PPI) analysis identifies ITGAX, MMP9 and FCGR2A as hub genes, predominantly expressed in macrophages. Functional validation through in vitro and in vivo experiments demonstrates the pivotal role of FCGR2A in macrophage polarization and IDD progression. Mechanistically, FCGR2A knockdown suppresses M1 macrophage polarization and NF-κB phosphorylation while enhancing M2 polarization and STAT3 activation, leading to ameliorated IDD in animal models. This study sheds light on the regulatory function of FCGR2A in macrophage polarization, offering novel insights for IDD intervention strategies. KEY POINTS: This study unveils the role of FCGR2A in intervertebral disc (IVD) degeneration (IDD). FCGR2A knockdown mitigates IDD in cellular and animal models. Single-cell RNA-sequencing uncovers diverse macrophage subpopulations in degenerated IVDs. This study reveals the molecular mechanism of FCGR2A in regulating macrophage polarization. This study confirms the role of the NF-κB/STAT3 pathway in regulating macrophage polarization in IDD.
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Affiliation(s)
- Jiaying Luo
- School of Life Sciences and Biopharmaceuticals, Shenyang Pharmaceutical University, Shenyang, P. R. China
| | - Guoxin Jin
- Department of Orthopedics, Shengjing Hospital of China Medical University, Shenyang, P. R. China
| | - Shaoqian Cui
- Department of Orthopedics, Shengjing Hospital of China Medical University, Shenyang, P. R. China
| | - Huan Wang
- Department of Orthopedics, Shengjing Hospital of China Medical University, Shenyang, P. R. China
| | - Qi Liu
- Department of Orthopedics, Shengjing Hospital of China Medical University, Shenyang, P. R. China
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Wang L, Li S, Li X, Zhuo G, Zhang Q, Liu G, Pan Y. Single cell analysis unveils the commonality and heterogeneity between nasopharyngeal and oropharyngeal carcinoma. Neoplasia 2024; 50:100980. [PMID: 38382442 PMCID: PMC10891337 DOI: 10.1016/j.neo.2024.100980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 02/14/2024] [Indexed: 02/23/2024]
Abstract
Nasopharyngeal carcinoma (NPC) and oropharyngeal carcinoma (OPC) are subtypes of head and neck cancer with different treatment effects due to the heterogeneity of tumor microenvironments. This study was to investigate the distinctive tumor microenvironments of NPC and OPC. Analyzing single-cell data from 10 cases of each subtype, we reveal significant differences in cellular composition, with NPC microenvironment dominated by T/NK and B cells, and OPC characterized by prevalent epithelial cells and fibroblasts. Dynamic transitions of CD8 T cells are observed in both tumor types, involving shifts from naivety to cytotoxicity, proliferation, and eventual exhaustion/exhausted states. Additionally, Tregs exhibit heightened proliferative abilities in later developmental stages, concomitant with exhaustion. These highly proliferative T cells and Tregs manifest elevated glycolysis and lactate metabolism activities. Furthermore, we explore intercellular communication between glycolytic malignant epithelial cells and these proliferative T cells. These findings offer comprehensive insights into the heterogeneity of tumor microenvironments and provide a solid foundation for future therapeutic strategies and targeted interventions.
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Affiliation(s)
- Liping Wang
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan 430071, PR China
| | - Shuang Li
- Department of Otolaryngology Head and Neck Surgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, PR China
| | - Xinran Li
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan 430071, PR China
| | - Guangzheng Zhuo
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan 430071, PR China
| | - Qian Zhang
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan 430071, PR China
| | - Guohong Liu
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan 430071, PR China.
| | - Yunbao Pan
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan 430071, PR China.
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Wang L, Li M, Yang H, Dai F, Xie N, Li L, Zhu M, Ding R. Subtype recognition and identification of a prognosis model characterized by antibody-dependent cell phagocytosis-related genes in breast cancer. Aging (Albany NY) 2024; 16:4014-4032. [PMID: 38393698 PMCID: PMC10929816 DOI: 10.18632/aging.205575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 01/23/2024] [Indexed: 02/25/2024]
Abstract
BACKGROUND Breast cancer (BC) is a heterogeneous tumor with a variety of etiology and clinical features. Antibody-dependent cell phagocytosis (ADCP) is the last step of immune checkpoint inhibition (ICI), and macrophages detect and recognize tumor cells, then destroy and engulf tumor cells. Despite the large number, negative regulators that inhibit phagocytic activity are still a key obstacle to the full efficacy of ICI. PATIENTS AND METHODS An ADCP-related risk score prognostic model for risk stratification as well as prognosis prediction was established in the Cancer Genome Atlas (TCGA) cohort. The predictive value of ADCP risk score in prognosis and immunotherapy was also further validated in the TCGA along with International Cancer Genome Consortium cohorts. To promote the clinical application of the risk score, a nomogram was established, with its effectiveness verified by different methods. RESULTS In this study, the genes collected from previous studies were defined as ADCP-related genes. In BC patients, two ADCP-related subtypes were identified. The immune characteristics and prognostic stratification were significant different between them. CONCLUSIONS We identified two subtypes associated with ADCP gene expression in breast cancer. They have significant differences in immune cells, molecular functions, HLA family genes, immune scores, stromal scores, and inflammatory gene expression, which have important guiding significance for the selection of clinical treatment methods. At the same time, we constructed a risk model based on ADCP, and the risk score can be used as a good indicator of prognosis, providing potential therapeutic advantages for chemotherapy and immunotherapy, thus helping the clinical decision-making of BC patients.
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Affiliation(s)
- Li Wang
- Department of Breast Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin 300060, China
| | - Menghan Li
- Acupuncture-Moxibustion Clinical Department, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin 300381, China
- Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin 300381, China
| | - Hongyu Yang
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin 300381, China
| | - Fenghuan Dai
- Acupuncture-Moxibustion Clinical Department, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin 300381, China
| | - Ning Xie
- Acupuncture-Moxibustion Clinical Department, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin 300381, China
| | - Linhui Li
- Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin 300381, China
| | - Meiying Zhu
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin 300381, China
| | - Ran Ding
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou 511442, China
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Wei J, Wang J, Chen X, Zhang L, Peng M. Novel application of the ferroptosis-related genes risk model associated with disulfidptosis in hepatocellular carcinoma prognosis and immune infiltration. PeerJ 2024; 12:e16819. [PMID: 38317842 PMCID: PMC10840499 DOI: 10.7717/peerj.16819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 12/31/2023] [Indexed: 02/07/2024] Open
Abstract
Hepatocellular carcinoma (HCC) stands as the prevailing manifestation of primary liver cancer and continues to pose a formidable challenge to human well-being and longevity, owing to its elevated incidence and mortality rates. Nevertheless, the quest for reliable predictive biomarkers for HCC remains ongoing. Recent research has demonstrated a close correlation between ferroptosis and disulfidptosis, two cellular processes, and cancer prognosis, suggesting their potential as predictive factors for HCC. In this study, we employed a combination of bioinformatics algorithms and machine learning techniques, leveraging RNA sequencing data, mutation profiles, and clinical data from HCC samples in The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and the International Cancer Genome Consortium (ICGC) databases, to develop a risk prognosis model based on genes associated with ferroptosis and disulfidptosis. We conducted an unsupervised clustering analysis, calculating a risk score (RS) to predict the prognosis of HCC using these genes. Clustering analysis revealed two distinct HCC clusters, each characterized by significantly different prognostic and immune features. The median RS stratified HCC samples in the TCGA, GEO, and ICGC cohorts into high-and low-risk groups. Importantly, RS emerged as an independent prognostic factor in all three cohorts, with the high-risk group demonstrating poorer prognosis and a more active immunosuppressive microenvironment. Additionally, the high-risk group exhibited higher expression levels of tumor mutation burden (TMB), immune checkpoints (ICs), and human leukocyte antigen (HLA), suggesting a heightened responsiveness to immunotherapy. A cancer stem cell infiltration analysis revealed a higher similarity between tumor cells and stem cells in the high-risk group. Furthermore, drug sensitivity analysis highlighted significant differences in response to antitumor drugs between the two risk groups. In summary, our risk prognostic model, constructed based on ferroptosis-related genes associated with disulfidptosis, effectively predicts HCC prognosis. These findings hold potential implications for patient stratification and clinical decision-making, offering valuable theoretical insights in this field.
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Affiliation(s)
- Jiayan Wei
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Jinsong Wang
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Xinyi Chen
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Li Zhang
- Basic Medical Sciences, Wuhan University School of Basic Medical Sciences, Wuhan, Hubei, China
| | - Min Peng
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
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Chen WK, Zhang HJ, Liu J, Dai Z, Zhan XL. COL3A1 is a potential diagnostic biomarker for synovial chondromatosis and affects the cell cycle and migration of chondrocytes. Int Immunopharmacol 2024; 127:111416. [PMID: 38145599 DOI: 10.1016/j.intimp.2023.111416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 12/02/2023] [Accepted: 12/17/2023] [Indexed: 12/27/2023]
Abstract
BACKGROUND Synovial chondromatosis (SC) primarily affects the major joints and is characterized by the formation of benign cartilaginous nodules. In the present study, we evaluated the differences in the histology and gene expression of SC and normal cartilages and further elucidated the function of hub genes in SC. METHODS Histological staining and biochemical analysis were performed to measure collagen and glycosaminoglycan (GAG) contents in SC and normal cartilage samples. Then, microarray analysis was performed using knee joint samples (three normal and three SC samples) to identify the differentially expressed genes (DEGs). Subsequently, bioinformatics analysis was performed to identify the hub genes and explore the mechanisms underlying SC. The intersection of the top 10 upregulated DEGs, top 10 downregulated DEGs, and hub genes was validated in SC tissues. Lastly, in vitro experiments and our clinical cohort were used to determine the potential biological functions and diagnostic value, respectively, of the most significant gene. RESULTS The GAG and collagen contents were comparable to or higher in SC tissues than in normal tissues. Microarray analysis revealed 143 upregulated and 107 downregulated DEGs in SC. Furthermore, functional enrichment analysis revealed an association between immunity and metabolism-related pathways and SC development. Among 20 hub genes, two intersection genes, namely, collagen type III alpha 1 chain (COL3A1) and HSPA8, were notably expressed in SC tissues, with COL3A1 exhibiting a more significant difference in mRNA expression. Furthermore, COL3A1 can promote chondrocyte migration and cell cycle progression. Additionally, clinical data revealed COL3A1 can be a diagnostic marker for primary SC (AUC = 0.82) and be a positive correlation with neutrophil-to-lymphocyte ratio. CONCLUSIONS These results suggest that SC tissues contained the abundant GAG and collagen. COL3A1 can affect the function of chondrocytes and be a diagnostic marker of primary SC patients. These findings provide a novel approach and a fundamental contribution for diagnosis and treatment in SC.
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Affiliation(s)
- Wen-Kang Chen
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 53000, China; The First Affiliated Hospital, Speciality of Sports Medcine in Department of Orthopaedics, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - Han-Jing Zhang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital, Hengyang Medical School, University of South China, No. 69 ChuanShan Road, Shigu District, Hengyang, 421001, Hunan, China
| | - Jianghua Liu
- The First Affiliated Hospital, Speciality of Sports Medcine in Department of Orthopaedics, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - Zhu Dai
- The First Affiliated Hospital, Speciality of Sports Medcine in Department of Orthopaedics, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.
| | - Xin-Li Zhan
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 53000, China.
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Zhang S, Fan W, He D. Constructing a personalized prognostic risk model for colorectal cancer using machine learning and multi-omics approach based on epithelial-mesenchymal transition-related genes. J Gene Med 2024; 26:e3660. [PMID: 38282145 DOI: 10.1002/jgm.3660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 11/30/2023] [Accepted: 12/12/2023] [Indexed: 01/30/2024] Open
Abstract
The progression and the metastatic potential of colorectal cancer (CRC) are intricately linked to the epithelial-mesenchymal transition (EMT) process. The present study harnesses the power of machine learning combined with multi-omics data to develop a risk stratification model anchored on EMT-associated genes. The aim is to facilitate personalized prognostic assessments in CRC. We utilized publicly accessible gene expression datasets to pinpoint EMT-associated genes, employing a CoxBoost algorithm to sift through these genes for prognostic significance. The resultant model, predicated on gene expression levels, underwent rigorous independent validation across various datasets. Our model demonstrated a robust capacity to segregate CRC patients into distinct high- and low-risk categories, each correlating with markedly different survival probabilities. Notably, the risk score emerged as an independent prognostic indicator for CRC. High-risk patients were characterized by an immunosuppressive tumor milieu and a heightened responsiveness to certain chemotherapeutic agents, underlining the model's potential in steering tailored oncological therapies. Moreover, our research unearthed a putative repressive interaction between the long non-coding RNA PVT1 and the EMT-associated genes TIMP1 and MMP1, offering new insights into the molecular intricacies of CRC. In essence, our research introduces a sophisticated risk model, leveraging machine learning and multi-omics insights, which accurately prognosticates outcomes for CRC patients, paving the way for more individualized and effective oncological treatment paradigms.
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Affiliation(s)
- Shuze Zhang
- Department of General Surgery, Lanzhou University Second Hospital, Lanzhou, China
| | - Wanli Fan
- Department of General Surgery, Lanzhou University Second Hospital, Lanzhou, China
| | - Dong He
- Department of General Surgery, Lanzhou University Second Hospital, Lanzhou, China
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Zhang Y, Mu D, Wang L, Wang X, Wilson IW, Chen W, Wang J, Liu Z, Qiu D, Tang Q. Reference Genes Screening and Gene Expression Patterns Analysis Involved in Gelsenicine Biosynthesis under Different Hormone Treatments in Gelsemium elegans. Int J Mol Sci 2023; 24:15973. [PMID: 37958955 PMCID: PMC10648913 DOI: 10.3390/ijms242115973] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 10/24/2023] [Accepted: 11/02/2023] [Indexed: 11/15/2023] Open
Abstract
Reverse transcription quantitative polymerase chain reaction (RT-qPCR) is an accurate method for quantifying gene expression levels. Choosing appropriate reference genes to normalize the data is essential for reducing errors. Gelsemium elegans is a highly poisonous but important medicinal plant used for analgesic and anti-swelling purposes. Gelsenicine is one of the vital active ingredients, and its biosynthesis pathway remains to be determined. In this study, G. elegans leaf tissue with and without the application of one of four hormones (SA, MeJA, ETH, and ABA) known to affect gelsenicine synthesis, was analyzed using ten candidate reference genes. The gene stability was evaluated using GeNorm, NormFinder, BestKeeper, ∆CT, and RefFinder. The results showed that the optimal stable reference genes varied among the different treatments and that at least two reference genes were required for accurate quantification. The expression patterns of 15 genes related to the gelsenicine upstream biosynthesis pathway was determined by RT-qPCR using the relevant reference genes identified. Three genes 8-HGO, LAMT, and STR, were found to have a strong correlation with the amount of gelsenicine measured in the different samples. This research is the first study to examine the reference genes of G. elegans under different hormone treatments and will be useful for future molecular analyses of this medically important plant species.
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Affiliation(s)
- Yao Zhang
- College of Horticulture, National Research Center of Engineering Technology for Utilization of Botanical Functional Ingredients, Hunan Agricultural University, Changsha 410128, China; (Y.Z.); (D.M.); (L.W.); (W.C.)
| | - Detian Mu
- College of Horticulture, National Research Center of Engineering Technology for Utilization of Botanical Functional Ingredients, Hunan Agricultural University, Changsha 410128, China; (Y.Z.); (D.M.); (L.W.); (W.C.)
| | - Liya Wang
- College of Horticulture, National Research Center of Engineering Technology for Utilization of Botanical Functional Ingredients, Hunan Agricultural University, Changsha 410128, China; (Y.Z.); (D.M.); (L.W.); (W.C.)
| | - Xujun Wang
- Hunan Academy of Forestry, Changsha 410018, China
| | - Iain W. Wilson
- CSIRO Agriculture and Food, Canberra, ACT 2601, Australia;
| | - Wenqiang Chen
- College of Horticulture, National Research Center of Engineering Technology for Utilization of Botanical Functional Ingredients, Hunan Agricultural University, Changsha 410128, China; (Y.Z.); (D.M.); (L.W.); (W.C.)
| | - Jinghan Wang
- College of Forestry, Central South University of Forestry and Technology, Changsha 410004, China;
| | - Zhaoying Liu
- College of Veterinary Medicine, Hunan Agricultural University, Changsha 410128, China;
| | - Deyou Qiu
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China;
| | - Qi Tang
- College of Horticulture, National Research Center of Engineering Technology for Utilization of Botanical Functional Ingredients, Hunan Agricultural University, Changsha 410128, China; (Y.Z.); (D.M.); (L.W.); (W.C.)
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Sun J, Chen F, Wu G. Role of NF-κB pathway in kidney renal clear cell carcinoma and its potential therapeutic implications. Aging (Albany NY) 2023; 15:11313-11330. [PMID: 37847185 PMCID: PMC10637793 DOI: 10.18632/aging.205129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 10/02/2023] [Indexed: 10/18/2023]
Abstract
Kidney renal clear cell carcinoma (KIRC), a common malignant tumor of the urinary system, is the most aggressive renal tumor subtype. Since the discovery of nuclear factor kappa B (NF-κB) in 1986, many studies have demonstrated abnormal NF-κB signaling is associated with the development of various cancers, including kidney renal clear cell carcinoma. In this study, the relationship between NF-κB and kidney renal clear cell carcinoma was confirmed using bioinformatics analysis. First, we explored the differential expression of copy number variation (CNV), single nucleotide variant (SNV), and messenger RNA (mRNA) in NF-κB-related genes in different types of cancer, as well as the impact on cancer prognosis and sensitivity to common chemotherapy drugs. Then, we divided the mRNA expression levels of NF-κB-related genes in KIRC patients into three groups through GSVA cluster analysis and explored the correlation between the NF-κB pathway and clinical data of KIRC patients, classical cancer-related genes, common anticancer drug responsiveness, and immune cell infiltration. Finally, 11 tumor-related genes were screened using least absolute shrinkage and selection operator (LASSO) regression to construct a prognostic model. In addition, we used the UALCAN and HPA databases to verify the protein levels of three key NF-κB-related genes (CHUK, IKGGB, and IKBKG) in KIRC. In conclusion, our study established a prognostic survival model based on NF-κB-related genes, which can be used to predict the prognosis of patients with KIRC.
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Affiliation(s)
- Jiaao Sun
- Department of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Feng Chen
- Department of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Guangzhen Wu
- Department of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
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Sun F, Xu Y, Deng Z, Yang P. A recombinant oncolytic influenza virus expressing a PD-L1 antibody induces CD8 + T-cell activation via the cGas-STING pathway in mice with hepatocellular carcinoma. Int Immunopharmacol 2023; 120:110323. [PMID: 37207446 DOI: 10.1016/j.intimp.2023.110323] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 04/21/2023] [Accepted: 05/08/2023] [Indexed: 05/21/2023]
Abstract
OBJECTIVE To evaluate targeted killing of hepatocellular carcinoma (HCC) cells by a recombinant oncolytic influenza virus expressing a PD-L1 antibody (rgFlu/PD-L1) and to develop a novel immunotherapy for HCC. METHODS Using influenza virus reverse genetics, a recombinant oncolytic virus was generated in the background of the A/Puerto Rico/8/34 (PR8) virus, then identified via screening and passage in specific pathogen-free chicken embryos. Hepatocellular carcinoma cell killing by rgFlu/PD-L1 was confirmed in vitro and in vivo. Transcriptome analyses were used to explore PD-L1 expression and function. Western blotting revealed that PD-L1 activated the cGas-STING pathway. RESULTS rgFlu/PD-L1 expressed the PD-L1 heavy and light chain in PB1 and PA, respectively; PR8 served as the backbone. The hemagglutinin titer of rgFlu/PD-L1 was 29, and the virus titer was 9-10 logTCID50/mL. Electron microscopy revealed that the rgFlu/PD-L1 morphology and size were consistent with wild-type influenza virus. The MTS assay showed that rgFlu/PD-L1 induced significant killing of HCC cells but not normal cells. rgFlu/PD-L1 inhibited PD-L1 expression and induced apoptosis in HepG2 cells. Notably, rgFlu/PD-L1 controlled the viability and function of CD8+ T cells by activating the cGas-STING pathway. CONCLUSION rgFlu/PD-L1 activated the cGas-STING pathway in CD8+ T cells, causing them to kill HCC cells. This approach represents a novel immunotherapy for liver cancer.
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Affiliation(s)
- Fang Sun
- Faculty of Hepato-Pancreato-Biliary Surgery, the First Medical Centre, Chinese PLA General Hospital, Institute of Hepatobiliary Surgery of Chinese PLA, Key Laboratory of Digital Hepatobiliary Surgery, PLA, Beijing, China; National Clinical Research Center for Infectious Diseases, the Fifth Medical Center of PLA General Hospital, Beijing, China
| | - Yan Xu
- Faculty of Hepato-Pancreato-Biliary Surgery, the First Medical Centre, Chinese PLA General Hospital, Institute of Hepatobiliary Surgery of Chinese PLA, Key Laboratory of Digital Hepatobiliary Surgery, PLA, Beijing, China
| | - Zhuoya Deng
- Faculty of Hepato-Pancreato-Biliary Surgery, the First Medical Centre, Chinese PLA General Hospital, Institute of Hepatobiliary Surgery of Chinese PLA, Key Laboratory of Digital Hepatobiliary Surgery, PLA, Beijing, China
| | - Penghui Yang
- Faculty of Hepato-Pancreato-Biliary Surgery, the First Medical Centre, Chinese PLA General Hospital, Institute of Hepatobiliary Surgery of Chinese PLA, Key Laboratory of Digital Hepatobiliary Surgery, PLA, Beijing, China.
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Chen C, Wang J, Dong C, Lim D, Feng Z. Development of a risk model to predict prognosis in breast cancer based on cGAS-STING-related genes. Front Genet 2023; 14:1121018. [PMID: 37051596 PMCID: PMC10083333 DOI: 10.3389/fgene.2023.1121018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Accepted: 03/14/2023] [Indexed: 03/29/2023] Open
Abstract
Background: Breast cancer (BRCA) is regarded as a lethal and aggressive cancer with increasing morbidity and mortality worldwide. cGAS-STING signaling regulates the crosstalk between tumor cells and immune cells in the tumor microenvironment (TME), emerging as an important DNA-damage mechanism. However, cGAS-STING-related genes (CSRGs) have rarely been investigated for their prognostic value in breast cancer patients.Methods: Our study aimed to construct a risk model to predict the survival and prognosis of breast cancer patients. We obtained 1087 breast cancer samples and 179 normal breast tissue samples from the Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEX) database, 35 immune-related differentially expression genes (DEGs) from cGAS-STING-related genes were systematically assessed. The Cox regression was applied for further selection, and 11 prognostic-related DEGs were used to develop a machine learning-based risk assessment and prognostic model.Results: We successfully developed a risk model to predict the prognostic value of breast cancer patients and its performance acquired effective validation. The results derived from Kaplan-Meier analysis revealed that the low-risk score patients had better overall survival (OS). The nomogram that integrated the risk score and clinical information was established and had good validity in predicting the overall survival of breast cancer patients. Significant correlations were observed between the risk score and tumor-infiltrating immune cells, immune checkpoints and the response to immunotherapy. The cGAS-STING-related genes risk score was also relevant to a series of clinic prognostic indicators such as tumor staging, molecular subtype, tumor recurrence, and drug therapeutic sensibility in breast cancer patients.Conclusion: cGAS-STING-related genes risk model provides a new credible risk stratification method to improve the clinical prognostic assessment for breast cancer.
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Affiliation(s)
- Chen Chen
- Department of Occupational Health and Occupational Medicine, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Junxiao Wang
- Department of Occupational Health and Occupational Medicine, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Chao Dong
- Department of Occupational Health and Occupational Medicine, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - David Lim
- Translational Health Research Institute, School of Health Sciences, Western Sydney University, Campbelltown, NSW, Australia
- College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
| | - Zhihui Feng
- Department of Occupational Health and Occupational Medicine, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- *Correspondence: Zhihui Feng,
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