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Wang J, Lu Y, Sun G, Fang Z, Xing Z, Nong W, Wei Y, Wang S, Shi G, Dong M, Wang J. Machine learning algorithms for a novel cuproptosis-related gene signature of diagnostic and immune infiltration in endometriosis. Sci Rep 2023; 13:21603. [PMID: 38062233 PMCID: PMC10703883 DOI: 10.1038/s41598-023-48990-w] [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: 07/31/2023] [Accepted: 12/02/2023] [Indexed: 12/18/2023] Open
Abstract
Endometriosis (EMT) is an aggressive disease of the reproductive system, also called "benign cancer". However, effective treatments for EMT are still lacking in clinical practice. Interestingly, immune infiltration is significantly involved in EMT pathogenesis. Currently, no studies have shown the involvement of cuproptosis-related genes (CRGs) in regulating immune infiltration in EMT. This study identified three CRGs such as GLS, NFE2L2, and PDHA1, associated with EMT using machine learning algorithms. These three CRGs were upregulated in the endometrium of patients with moderate/severe EMT and downregulated in patients with infertility. Single sample genomic enrichment analysis (ssGSEA) revealed that these CRGs were closely correlated with autoimmune diseases such as systemic lupus erythematosus. Furthermore, these CRGs were correlated with immune cells such as eosinophils, natural killer cells, and macrophages. Therefore, profiling patients based on these genes aid in a more accurate diagnosis of EMT progression. The mRNA and protein expression levels of GLS, NFE2L2 and PDHA1 were validated by qRT-PCR and WB studies in EMT samples. These findings provide a new idea for the pathology and treatment of endometriosis, suggesting that CRGs such as GLS, NFE2L2 and PDHA1 may play a key role in the occurrence and development of endometriosis.
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Affiliation(s)
- Jiajia Wang
- Department of Obstetrics and Gynecology, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, 533000, China
| | - Yiming Lu
- Graduate School of Youjiang, Medical University for Nationalities, Baise, 533000, China
| | - Guangyu Sun
- Chaozhou People's Hospital, Shantou University Medical College, Chaozhou, 515600, China
| | - Zhihao Fang
- Chaozhou People's Hospital, Shantou University Medical College, Chaozhou, 515600, China
| | - Zhiyong Xing
- School of Medical Laboratory, Youjiang Medical University for Nationalities, Baise, 533000, China
| | - Weihua Nong
- Department of Obstetrics and Gynecology, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, 533000, China
| | - Yunbao Wei
- Department of Obstetrics and Gynecology, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, 533000, China
| | - Shan Wang
- Department of Stomatology, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, 533000, China
| | - Guiling Shi
- Department of Obstetrics and Gynecology, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, 533000, China
| | - Mingyou Dong
- School of Medical Laboratory, Youjiang Medical University for Nationalities, Baise, 533000, China.
| | - Junli Wang
- School of Medical Laboratory, Youjiang Medical University for Nationalities, Baise, 533000, China.
- Department of Laboratory Medicine, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, 533000, China.
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Luo Q, Zhuang J, Zheng D, Miao C, Luo H, Peng J, Zheng C, Qin C, Lan C, Chen M, Xia Y, Huang D, Chen Z. IGFBP2 from a novel copper metabolism-associated biomarker promoted glioma progression and response to immunotherapy. Front Immunol 2023; 14:1282734. [PMID: 37928523 PMCID: PMC10620745 DOI: 10.3389/fimmu.2023.1282734] [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: 08/24/2023] [Accepted: 10/02/2023] [Indexed: 11/07/2023] Open
Abstract
Introduction Copper metabolism encompasses all cellular metabolic processes involving copper ions and plays a significant role in the pathogenesis of diseases, including cancer. Furthermore, copper is intricately involved in various processes related to nucleotide metabolism. However, a comprehensive analysis of copper metabolism in gliomas remains lacking despite its importance. Methods To address this gap, glioma patients were stratified based on the expression levels of copper metabolism-related genes. By utilizing machine learning techniques, a novel copper metabolism-associated biomarker was developed. The potential of this biomarker in prognosis, mutation analysis, and predicting immunotherapy response efficiency in gliomas was systematically investigated. Results Notably, IGFBP2, identified as a glioma tumor promoter, was found to promote disease progression and influence immunotherapy response. Additionally, glioma-derived IGFBP2 was observed to enhance microglial migration. High IGFBP2 expression in GBM cells facilitated macrophage interactions through the EGFR, CD63, ITGB1, and CD44 signaling pathways. Discussion: Overall, the copper metabolism-associated biomarker shows promising potential to enhance the clinical management of gliomas, offering valuable insights into disease prognosis and treatment strategies.
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Affiliation(s)
- Qisheng Luo
- Department of Neurosurgery, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Junhong Zhuang
- Department of Neurology, Affiliated Haikou Hospital of Xiangya Medical School, Central South University, Haikou, China
| | - Dandan Zheng
- Department of Radiation Oncology, The First Affiliated Hospital Zhejiang University, Hangzhou, China
| | - Changfeng Miao
- Department of Laboratory Medicine, Neurosurgery Second Branche, Hunan Provincial People’s Hospital (The First affiliated Hospital of Hunan Normal University), Changsha, Hunan, China
| | - Hongcheng Luo
- Department of Laboratory Medicine, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Jun Peng
- Department of Neurosurgery, Affiliated Haikou Hospital of Xiangya Medical School, Central South University, Haikou, China
| | - Chuanhua Zheng
- Department of Neurosurgery, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Chengjian Qin
- Department of Neurosurgery, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Chuanliu Lan
- Department of Neurosurgery, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Meiqin Chen
- Department of Radiation Oncology, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, Zhejiang, China
| | - Ying Xia
- Department of Neurosurgery, Affiliated Haikou Hospital of Xiangya Medical School, Central South University, Haikou, China
| | - Deyou Huang
- Department of Radiology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Zigui Chen
- Department of Neurosurgery, Affiliated Haikou Hospital of Xiangya Medical School, Central South University, Haikou, China
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Yan T, Yang H, Meng Y, Li H, Jiang Q, Liu J, Xu C, Xue Y, Xu J, Song Y, Chu X, Wang L, Chen X, Che F. Targeting copper death genotyping associated gene RARRES2 suppresses glioblastoma progression and macrophages infiltration. Cancer Cell Int 2023; 23:105. [PMID: 37246211 DOI: 10.1186/s12935-023-02950-6] [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: 03/14/2023] [Accepted: 05/18/2023] [Indexed: 05/30/2023] Open
Abstract
BACKGROUND Copper homeostasis is associated with malignant biological behavior in various tumors. The excessive accumulation of copper can induce tumor death, which is named cuproptosis, and it is also closely related to tumor progression and the formation of the immune microenvironment. However, the associations of cuproptosis with glioblastoma (GBM) prognosis and microenvironment construction are poorly understood. METHOD First, TCGA and GEO (GSE83300, GSE74187) merged datasets were used to analyze the association of cuproptosis-related genes (CRGs) with GBM. Then, we performed cluster analysis of CRGs in GBM from the GEO (GSE83300, GSE74187) and TCGA merged datasets. Subsequently, the prognostic risk model was constructed by least absolute shrinkage and selection operator (LASSO) according to gene expression features in CRG clusters. Next, we performed a series of in-depth analyses, including tumor mutational burden (TMB) analysis, cluster analysis, and GBM IDH status prediction. Finally, RARRES2 was identified as a target gene for GBM treatment, especially IDH wild-type GBM. In addition, we further analyzed the correlation of CRG clusters and RARRES2 expression with the GBM immune microenvironment by ESTIMATE and CIBERSORT analyses. In vitro experiments were conducted to demonstrate that targeting RARRES2 inhibits glioblastoma progression and macrophage infiltration, particularly IDH wild-type GBM. RESULTS In the present study, we demonstrated that the CRG cluster was closely related to GBM prognosis and immune cell infiltration. Moreover, the prognostic risk model constructed with the three genes (MMP19, G0S2, RARRES2) associated with the CRG clusters could well evaluate the prognosis and immune cell infiltration in GBM. Subsequently, after further analyzing the tumor mutational burden (TMB) in GBM, we confirmed that RARRES2 in the prognostic risk model could be used as a crucial gene signature to predict the prognosis, immune cell infiltration and IDH status of GBM patients. CONCLUSION This study fully revealed the potential clinical impact of CRGs on GBM prognosis and the microenvironment, and determined the effect of the crucial gene (RARRES2) on the prognosis and tumor microenvironment construction of GBM, meanwhile, our study also revealed over-expressed RARRES2 is related to the IDH satus of GBM, which provides a novel strategy for the treatment of GBM, particularly IDH wild-type GBM.
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Affiliation(s)
- Tao Yan
- Central Laboratory, Linyi People's Hospital, Guangzhou University of Chinese Medicine, Linyi, 276000, Shandong Province, China
- Linyi Key Laboratory of Neurophysiology, Linyi People's Hospital, Linyi, 276000, Shandong Province, China
| | - He Yang
- Department of Neurosurgery, First Affiliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang Province, China
- Key Colleges and Universities Laboratory of Neurosurgery in Heilongjiang Province, Harbin, 150001, Heilongjiang Province, China
- Institute of Neuroscience, Sino-Russian Medical Research Center, Harbin Medical University, Harbin, 150001, Heilongjiang Province, China
| | - Yun Meng
- Central Laboratory, Linyi People's Hospital, Guangzhou University of Chinese Medicine, Linyi, 276000, Shandong Province, China
- Linyi Key Laboratory of Neurophysiology, Linyi People's Hospital, Linyi, 276000, Shandong Province, China
| | - Huadong Li
- Department of Neurosurgery, Linyi People's Hospital, Linyi, 276000, Shandong Province, China
| | - Qing Jiang
- Department of Neurosurgery, First Affiliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang Province, China
- Key Colleges and Universities Laboratory of Neurosurgery in Heilongjiang Province, Harbin, 150001, Heilongjiang Province, China
- Institute of Neuroscience, Sino-Russian Medical Research Center, Harbin Medical University, Harbin, 150001, Heilongjiang Province, China
| | - Junsi Liu
- Department of Neurosurgery, First Affiliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang Province, China
- Key Colleges and Universities Laboratory of Neurosurgery in Heilongjiang Province, Harbin, 150001, Heilongjiang Province, China
- Institute of Neuroscience, Sino-Russian Medical Research Center, Harbin Medical University, Harbin, 150001, Heilongjiang Province, China
| | - Caixia Xu
- Department of Neurosurgery, First Affiliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang Province, China
- Key Colleges and Universities Laboratory of Neurosurgery in Heilongjiang Province, Harbin, 150001, Heilongjiang Province, China
- Institute of Neuroscience, Sino-Russian Medical Research Center, Harbin Medical University, Harbin, 150001, Heilongjiang Province, China
| | - Yanpeng Xue
- Department of Neurosurgery, First Affiliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang Province, China
- Key Colleges and Universities Laboratory of Neurosurgery in Heilongjiang Province, Harbin, 150001, Heilongjiang Province, China
- Institute of Neuroscience, Sino-Russian Medical Research Center, Harbin Medical University, Harbin, 150001, Heilongjiang Province, China
| | - Jiayi Xu
- Department of Neurosurgery, First Affiliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang Province, China
- Key Colleges and Universities Laboratory of Neurosurgery in Heilongjiang Province, Harbin, 150001, Heilongjiang Province, China
- Institute of Neuroscience, Sino-Russian Medical Research Center, Harbin Medical University, Harbin, 150001, Heilongjiang Province, China
| | - Yan Song
- Department of Nuclear Medicine, The Fourth Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang Province, China
| | - Xiaojie Chu
- Department of Clinical Pharmacy, Daqing Oilfield General Hospital, Daqing, 163001, Heilongjiang Province, China
| | - Lijuan Wang
- Central Laboratory, Linyi People's Hospital, Guangzhou University of Chinese Medicine, Linyi, 276000, Shandong Province, China.
- Linyi Key Laboratory of Neurophysiology, Linyi People's Hospital, Linyi, 276000, Shandong Province, China.
- Department of Hematology, Linyi People's Hospital, Guangzhou University of Chinese Medicine, Linyi, 276000, Shandong Province, China.
| | - Xin Chen
- Department of Neurosurgery, First Affiliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang Province, China.
- Key Colleges and Universities Laboratory of Neurosurgery in Heilongjiang Province, Harbin, 150001, Heilongjiang Province, China.
- Institute of Neuroscience, Sino-Russian Medical Research Center, Harbin Medical University, Harbin, 150001, Heilongjiang Province, China.
| | - Fengyuan Che
- Central Laboratory, Linyi People's Hospital, Guangzhou University of Chinese Medicine, Linyi, 276000, Shandong Province, China.
- Linyi Key Laboratory of Neurophysiology, Linyi People's Hospital, Linyi, 276000, Shandong Province, China.
- Department of Neurology, Linyi People's Hospital, Guangzhou University of Chinese Medicine, Linyi, 276000, Shandong Province, China.
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Zhang W, He Y, Kang X, Wang C, Chen F, Kang Z, Yang S, Zhang R, Peng Y, Li W. Association between dietary minerals and glioma: A case-control study based on Chinese population. Front Nutr 2023; 10:1118997. [PMID: 36937365 PMCID: PMC10018027 DOI: 10.3389/fnut.2023.1118997] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 02/13/2023] [Indexed: 03/06/2023] Open
Abstract
Background As one of the essential nutrients for the human body, minerals participate in various physiological activities of the body and are closely related to many cancers. However, the population study on glioma is not sufficient. Objective The purpose of this study was to evaluate the relationship between five dietary minerals and glioma. Methods A total of 506 adult patients with glioma and 506 healthy controls were matched 1:1 according to age (±5 years) and sex. The food intake of the subjects in the past year was collected through the food frequency questionnaire, and the intakes of calcium, magnesium, iron, zinc, and copper in the diet were calculated. The logistic regression model was used to estimate the odds ratio (OR) and 95% confidence interval (95% CI) for dietary minerals to gliomas. Results After adjusting for confounders, higher intakes of calcium (OR = 0.65, 95% CI: 0.57-0.74), magnesium (OR = 0.18, 95% CI: 0.11-0.29), iron (OR = 0.04, 95% CI: 0.02-0.11), zinc (OR = 0.62, 95% CI: 0.54-0.73), and copper (OR = 0.22, 95% CI: 0.13-0.39) were associated with a significantly decreased risk of glioma. Similar results were observed in gliomas of different pathological types and pathological grades. The restriction cubic spline function suggested significant linear dose-response relationships between intakes of five minerals and the risk of glioma. When the dietary minerals exceeded a particular intake, the risk of glioma stabilized. Conclusion Our study suggests that higher dietary intakes of calcium, magnesium, iron, zinc, and copper are associated with a decreased risk of glioma. However, the results of this study require further exploration of potential mechanisms in the future better to elucidate the effects of mineral intake on gliomas.
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