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Luo X, Guo J, Deng H, He Z, Wen Y, Si Z, Li J. Unveiling the role of disulfidptosis-related genes in the pathogenesis of non-alcoholic fatty liver disease. Front Immunol 2024; 15:1386905. [PMID: 38812509 PMCID: PMC11133613 DOI: 10.3389/fimmu.2024.1386905] [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: 02/16/2024] [Accepted: 05/03/2024] [Indexed: 05/31/2024] Open
Abstract
Backgrounds Non-alcoholic fatty liver disease (NAFLD) presents as a common liver disease characterized by an indistinct pathogenesis. Disulfidptosis is a recently identified mode of cell death. This study aimed to investigate the potential role of disulfidptosis-related genes (DRGs) in the pathogenesis of NAFLD. Methods Gene expression profiles were obtained from the bulk RNA dataset GSE126848 and the single-cell RNA dataset GSE136103, both associated with NAFLD. Our study assessed the expression of DRGs in NAFLD and normal tissues. Weighted gene co-expression network analysis (WGCNA) and differential expression analysis were employed to identify the key NAFLD-specific differentially expressed DRGs (DE-DRGs). To explore the biological functions and immune regulatory roles of these key DE-DRGs, we conducted immune infiltration analysis, functional enrichment analysis, consensus clustering analysis, and single-cell differential state analysis. Finally, we validated the expression and biological functions of DRGs in NAFLD patients using histology and RNA-sequencing transcriptomic assays with human liver tissue samples. Results Through the intersection of WGCNA, differentially expressed genes, and DRGs, two key DE-DRGs (DSTN and MYL6) were identified. Immune infiltration analysis indicated a higher proportion of macrophages, T cells, and resting dendritic cells in NAFLD compared to control liver samples. Based on the key DE-DRGs, Two disulfidptosis clusters were defined in GSE126848. Cluster 1, with higher expression of the key DE-DRGs, exhibited increased immune infiltration abundance and was closely associated with oxidative stress and immune regulation compared to cluster 2. High-resolution analysis of mononuclear phagocytes highlighted the potential role of MYL6 in intrahepatic M1 phenotype Kupffer cells in NAFLD patients. Our transcriptome data revealed that the expression levels of the majority of DRGs were significantly increased in NAFLD patients. NAFLD patients exhibit elevated MYL6 correlating with inflammation, oxidative stress, and disease severity, offering promising diagnostic specificity. Conclusion This comprehensive study provides evidence for the association between NAFLD and disulfidptosis, identifying potential target genes and pathways in NAFLD. The identification of MYL6 as a possible treatment target for NAFLD provided a novel understanding of the disease's development.
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Affiliation(s)
| | | | | | | | | | - Zhongzhou Si
- Department of Liver Transplant, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Jiequn Li
- Department of Liver Transplant, The Second Xiangya Hospital, Central South University, Changsha, China
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Cong Y, Cai G, Ding C, Zhang H, Chen J, Luo S, Liu J. Disulfidptosis-related signature elucidates the prognostic, immunologic, and therapeutic characteristics in ovarian cancer. Front Genet 2024; 15:1378907. [PMID: 38694875 PMCID: PMC11061395 DOI: 10.3389/fgene.2024.1378907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 04/02/2024] [Indexed: 05/04/2024] Open
Abstract
Introduction Ovarian cancer (OC) is the deadliest malignancy in gynecology, but the mechanism of its initiation and progression is poorly elucidated. Disulfidptosis is a novel discovered type of regulatory cell death. This study aimed to develop a novel disulfidptosis-related prognostic signature (DRPS) for OC and explore the effects and potential treatment by disulfidptosis-related risk stratification. Methods The disulfidptosis-related genes were first analyzed in bulk RNA-Seq and a prognostic nomogram was developed and validated by LASSO algorithm and multivariate cox regression. Then we systematically assessed the clinicopathological and mutational characteristics, pathway enrichment analysis, immune cell infiltration, single-cell-level expression, and drug sensitivity according to DRPS. Results The DRPS was established with 6 genes (MYL6, PDLIM1, ACTN4, FLNB, SLC7A11, and CD2AP) and the corresponding prognostic nomogram was constructed based on the DRPS, FIGO stage, grade, and residual disease. Stratified by the risk score derived from DRPS, patients in high-risk group tended to have worse prognosis, lower level of disulfidptosis, activated oncogenic pathways, inhibitory tumor immune microenvironment, and higher sensitivity to specific drugs including epirubicin, stauroporine, navitoclax, and tamoxifen. Single-cell transcriptomic analysis revealed the expression level of genes in the DRPS significantly varied in different cell types between tumor and normal tissues. The protein-level expression of genes in the DRPS was validated by the immunohistochemical staining analysis. Conclusion In this study, the DRPS and corresponding prognostic nomogram for OC were developed, which was important for OC prognostic assessment, tumor microenvironment modification, drug sensitivity prediction, and exploration of potential mechanisms in tumor development.
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Affiliation(s)
- Yunyan Cong
- Department of Oncology, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, China
- Department of Gynecologic Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, China
- Guangdong Provincial Clinical Research Center for Obstetrical and Gynecological Diseases, Guangzhou, China
| | - Guangyao Cai
- Department of Gynecologic Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, China
- Guangdong Provincial Clinical Research Center for Obstetrical and Gynecological Diseases, Guangzhou, China
| | - Chengcheng Ding
- Department of Gynecologic Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, China
- Guangdong Provincial Clinical Research Center for Obstetrical and Gynecological Diseases, Guangzhou, China
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Han Zhang
- Department of Gynecologic Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, China
- Guangdong Provincial Clinical Research Center for Obstetrical and Gynecological Diseases, Guangzhou, China
| | - Jieping Chen
- Department of Gynecologic Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, China
- Guangdong Provincial Clinical Research Center for Obstetrical and Gynecological Diseases, Guangzhou, China
| | - Shiwei Luo
- Department of Gynecologic Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, China
- Guangdong Provincial Clinical Research Center for Obstetrical and Gynecological Diseases, Guangzhou, China
| | - Jihong Liu
- Department of Gynecologic Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, China
- Guangdong Provincial Clinical Research Center for Obstetrical and Gynecological Diseases, Guangzhou, China
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Shen LP, Jiang HT. Pan-cancer and single-cell analysis of actin cytoskeleton genes related to disulfidptosis. Open Med (Wars) 2024; 19:20240929. [PMID: 38584831 PMCID: PMC10997004 DOI: 10.1515/med-2024-0929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 03/03/2024] [Accepted: 03/06/2024] [Indexed: 04/09/2024] Open
Abstract
Disulfidptosis was recently reported to be caused by abnormal disulfide accumulation in cells with high SLC7A11 levels subjected to glucose starvation, suggesting that targeting disulfidptosis was a potential strategy for cancer treatment. We analyzed the relationships between gene expression and mutations and prognoses of patients. In addition, the correlation between gene expression and immune cell infiltration was explored. The potential regulatory mechanisms of these genes were assessed by investigating their related signaling pathways involved in cancer, their expression patterns, and their cellular localization. Most cancer types showed a negative correlation between the gene-set variation analysis (GSVA) scores and infiltration of B cells and neutrophils, and a positive correlation between GSVA scores and infiltration of natural killer T and induced regulatory T cells. Single-cell analysis revealed that ACTB, DSTN, and MYL6 were highly expressed in different bladder urothelial carcinoma subtypes, but MYH10 showed a low expression. Immunofluorescence staining showed that actin cytoskeleton proteins were mainly localized in the actin filaments and plasma membrane. Notably, IQGAP1 was localized in the cell junctions. In conclusion, this study provided an overview of disulfidptosis-related actin cytoskeleton genes in pan-cancer. These genes were associated with the survival of patients and might be involved in cancer-related pathways.
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Affiliation(s)
- Li-ping Shen
- Department of Clinical Laboratory, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Taizhou, 318000, Zhejiang Province, China
| | - Han-tao Jiang
- Department of Orthopedics, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Taizhou, 318000, Zhejiang Province, China
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Teraiya M, Krokhin O, Chen VC, Perreault H. Cytoplasmic Shotgun Proteomic Points to Key Proteins and Pathways in Temozolomide-Resistant Glioblastoma Multiforme. J Proteome Res 2024; 23:465-482. [PMID: 38147655 DOI: 10.1021/acs.jproteome.3c00669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2023]
Abstract
Temozolomide (TMZ) is the first line of chemotherapy to treat primary brain tumors of the type glioblastoma multiforme (GBM). TMZ resistance (TMZR) is one of the main barriers to successful treatment and is a principal factor in relapse, resulting in a poor median survival of 15 months. The present paper focuses on proteomic analyses of cytosolic fractions from TMZ-resistant (TMZR) LN-18 cells. The experimental workflow includes an easy, cost-effective, and reproducible method to isolate subcellular fraction of cytosolic (CYTO) proteins, mitochondria, and plasma membrane proteins for proteomic studies. For this study, enriched cytoplasmic fractions were analyzed in replicates by nanoflow liquid chromatography tandem high-resolution mass spectrometry (nLC-MS/MS), and proteins identified were quantified using a label-free approach (LFQ). Statistical analysis of control (CTRL) and temozolomide-resistant (TMZR) proteomes revealed proteins that appear to be differentially controlled in the cytoplasm. The functions of these proteins are discussed as well as their roles in other cancers and TMZ resistance in GBM. Key proteins are also described through biological processes related to gene ontology (GO), molecular functions, and cellular components. For protein-protein interactions (PPI), network and pathway involvement analyses have been performed, highlighting the roles of key proteins in the TMZ resistance phenotypes. This study provides a detailed insight into methods of subcellular fractionation for proteomic analysis of TMZ-resistant GBM cells and the potential to apply this approach to future large-scale studies. Several key proteins, protein-protein interactions (PPI), and pathways have been identified, underlying the TMZ resistance phenotype and highlighting the proteins' biological functions.
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Affiliation(s)
- Milan Teraiya
- Chemistry Department, University of Manitoba, Winnipeg, Manitoba R3T3C7, Canada
| | - Oleg Krokhin
- Chemistry Department, University of Manitoba, Winnipeg, Manitoba R3T3C7, Canada
- Manitoba Centre for Proteomics and Department of Internal Medicine, University of Manitoba, Winnipeg, Manitoba R3E3P4, Canada
| | - Vincent C Chen
- Chemistry Department, Brandon University, Brandon, Manitoba R7A 6A9, Canada
| | - Hélène Perreault
- Chemistry Department, University of Manitoba, Winnipeg, Manitoba R3T3C7, Canada
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Chen X, Hu G, Yu Q. Impact of disulfidptosis-associated clusters on breast cancer survival rates and guiding personalized treatment. Front Endocrinol (Lausanne) 2023; 14:1256132. [PMID: 38116315 PMCID: PMC10728640 DOI: 10.3389/fendo.2023.1256132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 11/20/2023] [Indexed: 12/21/2023] Open
Abstract
Background Breast cancer (BC) poses a serious threat to human health. Disulfidptosis is a recently discovered form of cell death associated with cancer prognosis and progression. However, the relationship between BC and disulfidptosis remains unclear. Methods We integrated single-cell sequencing and transcriptome sequencing in BC to assess the abundance and mutation status of disulfidptosis-associated genes (DAGs). Subsequently, we clustered the samples based on DAGs and constructed a prognostic model associated with disulfidptosis. Additionally, we performed pathway enrichment, immune response, and drug sensitivity analyses on the model. Finally, we validated the prognostic genes through Immunohistochemistry (IHC). Results The single-cell analysis identified 21 cell clusters and 8 cell types. By evaluating the abundance of DAGs in different cell types, we found specific expression of the disulfidoptosis core gene SLC7A11 in mesenchymal stem cells (MSCs). Through unsupervised clustering of DAGs, we identified two clusters. Utilizing differentially expressed genes from these clusters, we selected 7 genes (AFF4, SLC7A11, IGKC, IL6ST, LIMD2, MAT2B, and SCAND1) through Cox and Lasso regression to construct a prognostic model. External validation demonstrated good prognostic prediction of our model. BC patients were stratified into two groups based on riskscore, with the high-risk group corresponding to a worse prognosis. Immune response analysis revealed higher TMB and lower TIDE scores in the high-risk group, while the low-risk group exhibited higher CTLA4/PD-1 expression. This suggests that both groups may respond to immunotherapy, necessitating further research to elucidate potential mechanisms. Drug sensitivity analysis indicated that dasatinib, docetaxel, lapatinib, methotrexate, paclitaxel, and sunitinib may have better efficacy in the low-risk group. Finally, Immunohistochemistry (IHC) validated the expression of prognostic genes, demonstrating higher levels in tumor tissue compared to normal tissue. Conclusion Our study has developed an effective disulfidptosis-related prognostic prediction tool for BC and provides personalized guidance for the clinical management and immunotherapy selection of BC patients.
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Affiliation(s)
| | - Guohuang Hu
- Department of General Surgery, Affiliated Changsha Hospital of Hunan Normal University, Changsha, China
| | - Qianle Yu
- Department of General Surgery, Affiliated Changsha Hospital of Hunan Normal University, Changsha, China
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Liu T, Ren Y, Wang Q, Wang Y, Li Z, Sun W, Fan D, Luan Y, Gao Y, Yan Z. Exploring the role of the disulfidptosis-related gene SLC7A11 in adrenocortical carcinoma: implications for prognosis, immune infiltration, and therapeutic strategies. Cancer Cell Int 2023; 23:259. [PMID: 37919768 PMCID: PMC10623781 DOI: 10.1186/s12935-023-03091-6] [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: 07/22/2023] [Accepted: 10/04/2023] [Indexed: 11/04/2023] Open
Abstract
BACKGROUND Disulfidptosis and the disulfidptosis-related gene SLC7A11 have recently attracted significant attention for their role in tumorigenesis and tumour management. However, its association with adrenocortical carcinoma (ACC) is rarely discussed. METHODS Differential analysis, Cox regression analysis, and survival analysis were used to screen for the hub gene SLC7A11 in the TCGA and GTEx databases and disulfidptosis-related gene sets. Then, we performed an association analysis between SLC7A11 and clinically relevant factors in ACC patients. Univariate and multivariate Cox regression analyses were performed to evaluate the prognostic value of SLC7A11 and clinically relevant factors. Weighted gene coexpression analysis was used to find genes associated with SLC7A11. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses and the LinkedOmics database were used to analyse the functions of SLC7A11-associated genes. The CIBERSORT and Xcell algorithms were used to analyse the relationship between SLC7A11 and immune cell infiltration in ACC. The TISIDB database was applied to search for the correlation between SLC7A11 expression and immune chemokines. In addition, we performed a correlation analysis for SLC7A11 expression and tumour mutational burden and immune checkpoint-related genes and assessed drug sensitivity based on SLC7A11 expression. Immunohistochemistry and RT‒qPCR were used to validate the upregulation of SLC7A11 in the ACC. RESULTS SLC7A11 is highly expressed in multiple urological tumours, including ACC. SLC7A11 expression is strongly associated with clinically relevant factors (M-stage and MYL6 expression) in ACC. SLC7A11 and the constructed nomogram can accurately predict ACC patient outcomes. The functions of SLC7A11 and its closely related genes are tightly associated with the occurrence of disulfidptosis in ACC. SLC7A11 expression was tightly associated with various immune cell infiltration disorders in the ACC tumour microenvironment (TME). It was positively correlated with the expression of immune chemokines (CXCL8, CXCL3, and CCL20) and negatively correlated with the expression of immune chemokines (CXCL17 and CCL14). SLC7A11 expression was positively associated with the expression of immune checkpoint genes (NRP1, TNFSF4, TNFRSF9, and CD276) and tumour mutation burden. The expression level of SLC7A11 in ACC patients is closely associated withcthe drug sensitivity. CONCLUSION In ACC, high expression of SLC7A11 is associated with migration, invasion, drug sensitivity, immune infiltration disorders, and poor prognosis, and its induction of disulfidptosis is a promising target for the treatment of ACC.
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Affiliation(s)
- Tonghu Liu
- Department of Surgery, The First Affiliated Hospital of Zhengzhou University, 450001, Zhengzhou, Henan, China
| | - Yilin Ren
- Department of Surgery, The First Affiliated Hospital of Zhengzhou University, 450001, Zhengzhou, Henan, China
| | - Qixin Wang
- Department of Surgery, The First Affiliated Hospital of Zhengzhou University, 450001, Zhengzhou, Henan, China
- Institute of Molecular Cancer Surgery of Zhengzhou University, 450001, Zhengzhou, Henan, China
- Department of Surgery, Nanyang Central Hospital, 473005, Nanyang, Henan, China
| | - Yu Wang
- Department of Surgery, The First Affiliated Hospital of Zhengzhou University, 450001, Zhengzhou, Henan, China
- Henan Engineering Research Center of Tumour Molecular Diagnosis and Treatment, 450001, Zhengzhou, Henan, China
- Institute of Molecular Cancer Surgery of Zhengzhou University, 450001, Zhengzhou, Henan, China
| | - Zhiyuan Li
- Department of Surgery, The First Affiliated Hospital of Zhengzhou University, 450001, Zhengzhou, Henan, China
| | - Weibo Sun
- Institute of Molecular Cancer Surgery of Zhengzhou University, 450001, Zhengzhou, Henan, China
- Department of Radiation Oncology and Oncology, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, 450003, Zhengzhou, Henan, China
| | - Dandan Fan
- BGI College & Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, 450001, Zhengzhou, Henan, China
- Henan Engineering Research Center of Tumour Molecular Diagnosis and Treatment, 450001, Zhengzhou, Henan, China
- Institute of Molecular Cancer Surgery of Zhengzhou University, 450001, Zhengzhou, Henan, China
| | - Yongkun Luan
- Department of Surgery, The First Affiliated Hospital of Zhengzhou University, 450001, Zhengzhou, Henan, China.
- BGI College & Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, 450001, Zhengzhou, Henan, China.
- Henan Engineering Research Center of Tumour Molecular Diagnosis and Treatment, 450001, Zhengzhou, Henan, China.
- Institute of Molecular Cancer Surgery of Zhengzhou University, 450001, Zhengzhou, Henan, China.
| | - Yukui Gao
- Institute of Molecular Cancer Surgery of Zhengzhou University, 450001, Zhengzhou, Henan, China.
- Department of Urology, The First Affiliated Hospital of Wannan Medical College, Yijishan Hospital, 241001, Wuhu, Anhui, China.
| | - Zechen Yan
- Department of Surgery, The First Affiliated Hospital of Zhengzhou University, 450001, Zhengzhou, Henan, China.
- Henan Engineering Research Center of Tumour Molecular Diagnosis and Treatment, 450001, Zhengzhou, Henan, China.
- Institute of Molecular Cancer Surgery of Zhengzhou University, 450001, Zhengzhou, Henan, China.
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Li Q, Yin LK. Comprehensive analysis of disulfidptosis related genes and prognosis of gastric cancer. World J Clin Oncol 2023; 14:373-399. [PMID: 37970110 PMCID: PMC10631345 DOI: 10.5306/wjco.v14.i10.373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Revised: 09/07/2023] [Accepted: 09/18/2023] [Indexed: 10/24/2023] Open
Abstract
BACKGROUND Gastric cancer (GC) is a common malignant tumor of the digestive system. Disulfidptosis is a new programmed cell death mechanism, although its specific mechanism in GC is incompletely understood. AIM In this study, we used bioinformatics analysis to explore a disulfidptosis-based predictive model related to GC prognosis and to identify potential therapeutic targets and sensitive drugs for GC. METHODS We extracted GC-related data from The Cancer Genome Atlas and Gene Expression Omnibus databases. R software (version 4.2.1) was used for correlation analysis. RESULTS Through the above analysis, we found that the disulfidptosis related gene may be related to the prognosis of GC. Six genes, namely, PLS3, GRP, APOD, SGCE, COL8A1, and VAMP7, were found to constitute a predictive model for GC prognosis. APOD is a potential therapeutic target for treating GC. Bosutinib and other drugs are sensitive for the treatment of GC. CONCLUSION The results of this study indicate that disulfidptosis is related to the prognosis and treatment of GC, while APOD represents a potential therapeutic target for GC.
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Affiliation(s)
- Qian Li
- Department of Oncology, Fushun Hospital of Traditional Chinese Medicine, Zigong 643200, Sichuan Province, China
| | - Long-Kuan Yin
- Department of Gastrointestinal Surgery, Fushun People’s Hospital, Zigong 643200, Sichuan Province, China
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Xia Q, Yan Q, Wang Z, Huang Q, Zheng X, Shen J, Du L, Li H, Duan S. Disulfidptosis-associated lncRNAs predict breast cancer subtypes. Sci Rep 2023; 13:16268. [PMID: 37758759 PMCID: PMC10533517 DOI: 10.1038/s41598-023-43414-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 09/23/2023] [Indexed: 09/29/2023] Open
Abstract
Disulfidptosis is a newly discovered mode of cell death. However, its relationship with breast cancer subtypes remains unclear. In this study, we aimed to construct a disulfidptosis-associated breast cancer subtype prediction model. We obtained 19 disulfidptosis-related genes from published articles and performed correlation analysis with lncRNAs differentially expressed in breast cancer. We then used the random forest algorithm to select important lncRNAs and establish a breast cancer subtype prediction model. We identified 132 lncRNAs significantly associated with disulfidptosis (FDR < 0.01, |R|> 0.15) and selected the first four important lncRNAs to build a prediction model (training set AUC = 0.992). The model accurately predicted breast cancer subtypes (test set AUC = 0.842). Among the key lncRNAs, LINC02188 had the highest expression in the Basal subtype, while LINC01488 and GATA3-AS1 had the lowest expression in Basal. In the Her2 subtype, LINC00511 had the highest expression level compared to other key lncRNAs. GATA3-AS1 had the highest expression in LumA and LumB subtypes, while LINC00511 had the lowest expression in these subtypes. In the Normal subtype, GATA3-AS1 had the highest expression level compared to other key lncRNAs. Our study also found that key lncRNAs were closely related to RNA methylation modification and angiogenesis (FDR < 0.05, |R|> 0.1), as well as immune infiltrating cells (P.adj < 0.01, |R|> 0.1). Our random forest model based on disulfidptosis-related lncRNAs can accurately predict breast cancer subtypes and provide a new direction for research on clinical therapeutic targets for breast cancer.
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Affiliation(s)
- Qing Xia
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, 310015, Zhejiang, China
- College of Pharmacy, Zhejiang University of Technology, Hangzhou, 310014, Zhejiang, China
| | - Qibin Yan
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, 310015, Zhejiang, China
- College of Pharmacy, Zhejiang University of Technology, Hangzhou, 310014, Zhejiang, China
| | - Zehua Wang
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, 310015, Zhejiang, China
| | - Qinyuan Huang
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, 310015, Zhejiang, China
| | - Xinying Zheng
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, 310015, Zhejiang, China
- College of Pharmacy, Zhejiang University of Technology, Hangzhou, 310014, Zhejiang, China
| | - Jinze Shen
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, 310015, Zhejiang, China
| | - Lihua Du
- College of Pharmacy, Zhejiang University of Technology, Hangzhou, 310014, Zhejiang, China
| | - Hanbing Li
- College of Pharmacy, Zhejiang University of Technology, Hangzhou, 310014, Zhejiang, China.
| | - Shiwei Duan
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, 310015, Zhejiang, China.
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Ma S, Wang D, Xie D. Identification of disulfidptosis-related genes and subgroups in Alzheimer's disease. Front Aging Neurosci 2023; 15:1236490. [PMID: 37600517 PMCID: PMC10436325 DOI: 10.3389/fnagi.2023.1236490] [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: 06/07/2023] [Accepted: 07/17/2023] [Indexed: 08/22/2023] Open
Abstract
Background Alzheimer's disease (AD), a common neurological disorder, has no effective treatment due to its complex pathogenesis. Disulfidptosis, a newly discovered type of cell death, seems to be closely related to the occurrence of various diseases. In this study, through bioinformatics analysis, the expression and function of disulfidptosis-related genes (DRGs) in Alzheimer's disease were explored. Methods Differential analysis was performed on the gene expression matrix of AD, and the intersection of differentially expressed genes and disulfidptosis-related genes in AD was obtained. Hub genes were further screened using multiple machine learning methods, and a predictive model was constructed. Finally, 97 AD samples were divided into two subgroups based on hub genes. Results In this study, a total of 22 overlapping genes were identified, and 7 hub genes were further obtained through machine learning, including MYH9, IQGAP1, ACTN4, DSTN, ACTB, MYL6, and GYS1. Furthermore, the diagnostic capability was validated using external datasets and clinical samples. Based on these genes, a predictive model was constructed, with a large area under the curve (AUC = 0.8847), and the AUCs of the two external validation datasets were also higher than 0.7, indicating the high accuracy of the predictive model. Using unsupervised clustering based on hub genes, 97 AD samples were divided into Cluster1 (n = 24) and Cluster2 (n = 73), with most hub genes expressed at higher levels in Cluster2. Immune infiltration analysis revealed that Cluster2 had a higher level of immune infiltration and immune scores. Conclusion A close association between disulfidptosis and Alzheimer's disease was discovered in this study, and a predictive model was established to assess the risk of disulfidptosis subtype in AD patients. This study provides new perspectives for exploring biomarkers and potential therapeutic targets for Alzheimer's disease.
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Affiliation(s)
- Shijia Ma
- The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, China
| | - Dan Wang
- Encephalopathy Center, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, China
| | - Daojun Xie
- Encephalopathy Center, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, China
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Wang Z, Liu M, Lei H, Lei P, Liu X, Zhang J, Xiao S, Zheng Y, Feng YG. Serum Proteomics Combined with Metabolomics Analysis Explore the Molecular Biological Characteristics of Eruptive Syringoma. CLINICAL, COSMETIC AND INVESTIGATIONAL DERMATOLOGY 2023; 16:17-26. [PMID: 36636632 PMCID: PMC9830079 DOI: 10.2147/ccid.s393620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 12/14/2022] [Indexed: 01/06/2023]
Abstract
Background Eruptive syringoma (ES) is a clinical variant of the appendageal tumor syringoma. Around 75% of ES arise in the head or neck, which makes them unsightly. ES is common in patients with amyloidosis, diabetes, and Down's syndrome, suggesting that it may be associated with potential systemic effects. ES is a rare tumor with the unclear pathogenesis and no effective treatment. Methods A PubMed search of ES was conducted. Plasma samples of patients with ES were acquired from the Department of Dermatology at Xi'an Jiaotong University's Second Affiliated Hospital. After removing highly abundant proteins, plasma samples were subjected to proteomics and metabolomics analysis using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Results LC-MS/MS revealed 71 differentially expressed proteins and 18 differentially abundant metabolites. The functional analysis highlighted the importance of complement binding, coagulation, secretory granules and vesicle lumen. Further, the study revealed 15 hub genes associated with FGG, GC, APOE, FGA, FGB, C4A, C3, CRP, C4B, FLNA, TAGLN2, ANXA5, MYL6, MYL12B, and TLN1 organized into three clusters. The seed genes in each cluster were GC, FLNA, and MYL6. In addition, glycol metabolism was associated with variable abundance of serum metabolites, which explains the relatively high rate of ES among diabetics. Conclusion This study suggests that immunological inflammation and tumor glycol metabolism may play significant role in the pathophysiology of ES.
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Affiliation(s)
- Ziyang Wang
- Department of Dermatology, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, People’s Republic of China,Department of Dermatology, the Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, People’s Republic of China
| | - Meng Liu
- Department of Dermatology, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, People’s Republic of China,Department of Dermatology, the Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, People’s Republic of China
| | - Hao Lei
- Department of Dermatology, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, People’s Republic of China,Department of Dermatology, the Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, People’s Republic of China
| | - Panpan Lei
- Center for Mitochondrial Biology and Medicine, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Xi’an Jiaotong University School of Life Science and Technology, Xi’an, People’s Republic of China
| | - Xinyi Liu
- Department of Dermatology, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, People’s Republic of China,Department of Dermatology, the Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, People’s Republic of China
| | - Jing Zhang
- Department of Dermatology, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, People’s Republic of China,Department of Dermatology, the Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, People’s Republic of China
| | - Shengxiang Xiao
- Department of Dermatology, the Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, People’s Republic of China
| | - Yan Zheng
- Department of Dermatology, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, People’s Republic of China,Department of Dermatology, the Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, People’s Republic of China
| | - Yi-Guo Feng
- Department of Dermatology, the Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, People’s Republic of China,Correspondence: Yi-Guo Feng, Department of Dermatology, the Second Affiliated Hospital of Xi’an Jiaotong University, School of Medicine, Xi’an, 730070, People’s Republic of China, Email
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Integrative Analysis of Bulk RNA-Seq and Single-Cell RNA-Seq Unveils the Characteristics of the Immune Microenvironment and Prognosis Signature in Prostate Cancer. JOURNAL OF ONCOLOGY 2022; 2022:6768139. [PMID: 35909899 PMCID: PMC9325591 DOI: 10.1155/2022/6768139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 06/10/2022] [Accepted: 06/21/2022] [Indexed: 12/01/2022]
Abstract
The immune microenvironment is a culmination of the collaborative effort of immune cells and is important in cancer development. The underlying mechanisms of the tumor immune microenvironment in regulating prostate cancer (PRAD) are unclear. In the current study, 144 natural killer cell-related genes were identified using differential expression, single-sample gene set enrichment analysis, and weighted gene coexpression network analysis. Furthermore, VCL, ACTA2, MYL9, MYLK, MYH11, TPM1, ACTG2, TAGLN, and FLNC were selected as hub genes via the protein-protein interaction network. Based on the expression patterns of the hub genes, endothelial, epithelial, and tissue stem cells were identified as key cell subpopulations, which could regulate PRAD via immune response, extracellular signaling, and protein formation. Moreover, 27 genes were identified as prognostic signatures and used to construct the risk score model. Receiver operating characteristic curves revealed the good performance of the risk score model in both the training and testing datasets. Different chemotherapeutic responses were observed between the low- and high-risk groups. Additionally, a nomogram based on the risk score and other clinical features was established to predict the 1-, 3-, and 5-year progression-free interval of patients with PRAD. This study provides novel insights into the molecular mechanisms of the immune microenvironment and its role in the pathogenesis of PARD. The identification of key cell subpopulations has a potential therapeutic and prognostic use in PRAD.
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