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Bai X, Lu F, Li S, Zhao Z, Wang N, Zhao Y, Ma G, Zhang F, Su X, Wang D, Ye J, Li P, Ji C. Cuproptosis-related lncRNA signature as a prognostic tool and therapeutic target in diffuse large B cell lymphoma. Sci Rep 2024; 14:12926. [PMID: 38839842 PMCID: PMC11153514 DOI: 10.1038/s41598-024-63433-w] [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: 01/15/2024] [Accepted: 05/29/2024] [Indexed: 06/07/2024] Open
Abstract
Cuproptosis is a newly defined form of programmed cell death that relies on mitochondria respiration. Long noncoding RNAs (lncRNAs) play crucial roles in tumorigenesis and metastasis. However, whether cuproptosis-related lncRNAs are involved in the pathogenesis of diffuse large B cell lymphoma (DLBCL) remains unclear. This study aimed to identify the prognostic signatures of cuproptosis-related lncRNAs in DLBCL and investigate their potential molecular functions. RNA-Seq data and clinical information for DLBCL were collected from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). Cuproptosis-related lncRNAs were screened out through Pearson correlation analysis. Utilizing univariate Cox, least absolute shrinkage and selection operator (Lasso) and multivariate Cox regression analysis, we identified seven cuproptosis-related lncRNAs and developed a risk prediction model to evaluate its prognostic value across multiple groups. GO and KEGG functional analyses, single-sample GSEA (ssGSEA), and the ESTIMATE algorithm were used to analyze the mechanisms and immune status between the different risk groups. Additionally, drug sensitivity analysis identified drugs with potential efficacy in DLBCL. Finally, the protein-protein interaction (PPI) network were constructed based on the weighted gene co-expression network analysis (WGCNA). We identified a set of seven cuproptosis-related lncRNAs including LINC00294, RNF139-AS1, LINC00654, WWC2-AS2, LINC00661, LINC01165 and LINC01398, based on which we constructed a risk model for DLBCL. The high-risk group was associated with shorter survival time than the low-risk group, and the signature-based risk score demonstrated superior prognostic ability for DLBCL patients compared to traditional clinical features. By analyzing the immune landscapes between two groups, we found that immunosuppressive cell types were significantly increased in high-risk DLBCL group. Moreover, functional enrichment analysis highlighted the association of differentially expressed genes with metabolic, inflammatory and immune-related pathways in DLBCL patients. We also found that the high-risk group showed more sensitivity to vinorelbine and pyrimethamine. A cuproptosis-related lncRNA signature was established to predict the prognosis and provide insights into potential therapeutic strategies for DLBCL patients.
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Affiliation(s)
- Xiaoran Bai
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
- Department of Lymphoma and Plasmacytoma Disease, Senior Department of Hematology, The Fifth Medical Center of PLA General Hospital, Beijing, China
| | - Fei Lu
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Shuying Li
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Zhe Zhao
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Nana Wang
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Yanan Zhao
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Guangxin Ma
- Hematology and Oncology Unit, Department of Geriatrics, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Fan Zhang
- Gastroenterology Intensive Care Unit, Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Xiuhua Su
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Dongmei Wang
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Jingjing Ye
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Peng Li
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China.
| | - Chunyan Ji
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
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Chen C, Kang D, Chen Z, Shi P, Li Y, Qian S. DLD is a potential therapeutic target for COVID-19 infection in diffuse large B-cell lymphoma patients. Apoptosis 2024:10.1007/s10495-024-01959-0. [PMID: 38581529 DOI: 10.1007/s10495-024-01959-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/10/2024] [Indexed: 04/08/2024]
Abstract
Since the discovery of copper induces cell death(cuprotosis) in 2022, it has been one of the biggest research hotspots. cuprotosis related genes (CRGs) has been demonstrated to be a potential therapeutic target for cancer, however, the molecular mechanism of CRGs in coronavirus disease 2019 (COVID-19) infected in DLBCL patients has not been reported yet. Therefore, our research objective is first to elucidate the mechanism and role of CRGs in COVID-19. Secondly, we conducted univariate and multivariate analysis and machine learning to screen for CRGs with common expression differences in COVID-19 and DLBCL. Finally, the functional role and immune mechanism of genes in DLBCL were confirmed through cell experiments and immune analysis. The research results show that CRGs play an important role in the occurrence and development of COVID-19. Univariate analysis and machine learning confirm that dihydrolipoamide dehydrogenase (DLD) is the common key gene of COVID-19 and DLBCL. Inhibiting the expression of DLD can significantly inhibit the cycle progression and promote cell apoptosis of DLBCL cells and can target positive regulation of Lysine-specific demethylase 1 (LSD1, also known as KDM1A) to inhibit the proliferation of DLBCL cells and promote cell apoptosis. The immune analysis results show that high-expression of DLD may reduce T cell-mediated anti-tumor immunity by regulating immune infiltration of CD8 + T cells and positively regulating immune checkpoints LAG3 and CD276. Reducing the expression of DLD can effectively enhance T cell-mediated anti-tumor immunity, thereby clearing cancer cells and preventing cancer growth. In conclusion, DLD may be a potential therapeutic target for COVID-19 infection in DLBCL patients. Our research provides a theoretical basis for improving the clinical treatment of COVID-19 infection in DLBCL.
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Affiliation(s)
- Can Chen
- Department of Hematology, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China
- School of Medicine, Zhejiang University, Hangzhou, China
| | - Dandan Kang
- School of Medicine, Zhejiang University, Hangzhou, China
| | - Zhenzhen Chen
- Department of Hematology, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China
| | - Pengfei Shi
- Department of Hematology, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China
| | - Yun Li
- Team of neonatal & infant development, health and nutrition, NDHN. School of Biology and Pharmaceutical Engineering, Wuhan Polytechnic University, Wuhan, China.
- Kindstar Global Precision Medicine Institute, Wuhan, China.
| | - Shenxian Qian
- Department of Hematology, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China.
- School of Medicine, Zhejiang University, Hangzhou, China.
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Jelicic J, Larsen TS, Andjelic B, Juul-Jensen K, Bukumiric Z. Should we use nomograms for risk predictions in diffuse large B cell lymphoma patients? A systematic review. Crit Rev Oncol Hematol 2024; 196:104293. [PMID: 38346460 DOI: 10.1016/j.critrevonc.2024.104293] [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: 02/17/2023] [Revised: 01/24/2024] [Accepted: 02/07/2024] [Indexed: 02/24/2024] Open
Abstract
Models based on risk stratification are increasingly reported for Diffuse large B cell lymphoma (DLBCL). Due to a rising interest in nomograms for cancer patients, we aimed to review and critically appraise prognostic models based on nomograms in DLBCL patients. A literature search in PubMed/Embase identified 59 articles that proposed prognostic models for DLBCL by combining parameters of interest (e.g., clinical, laboratory, immunohistochemical, and genetic) between January 2000 and 2024. Of them, 40 studies proposed different gene expression signatures and incorporated them into nomogram-based prognostic models. Although most studies assessed discrimination and calibration when developing the model, many lacked external validation. Current nomogram-based models for DLBCL are mainly developed from publicly available databases, lack external validation, and have no applicability in clinical practice. However, they may be helpful in individual patient counseling, although careful considerations should be made regarding model development due to possible limitations when choosing nomograms for prognostication.
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Affiliation(s)
- Jelena Jelicic
- Department of Hematology, Sygehus Lillebaelt, Vejle, Denmark; Department of Hematology, Odense University Hospital, Odense, Denmark.
| | - Thomas Stauffer Larsen
- Department of Hematology, Odense University Hospital, Odense, Denmark; Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Bosko Andjelic
- Department of Haematology, Blackpool Victoria Hospital, Lancashire Haematology Centre, Blackpool, United Kingdom
| | - Karen Juul-Jensen
- Department of Hematology, Odense University Hospital, Odense, Denmark
| | - Zoran Bukumiric
- Department of Statistics, Faculty of Medicine, University of Belgrade, Serbia
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Chen C, Li T, Li Y, Chen Z, Shi P, Li Y, Qian S. GPX4 is a potential diagnostic and therapeutic biomarker associated with diffuse large B lymphoma cell proliferation and B cell immune infiltration. Heliyon 2024; 10:e24857. [PMID: 38333875 PMCID: PMC10850411 DOI: 10.1016/j.heliyon.2024.e24857] [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: 06/29/2023] [Revised: 01/08/2024] [Accepted: 01/16/2024] [Indexed: 02/10/2024] Open
Abstract
At present, GPX4's role in the occurrence and development of diffuse large B lymphoma (DLBCL) is rarely reported. This study's purpose is to explore GPX4's significance in the diagnosis, treatment, and pathological mechanisms of DLBCL. The TIMER 2.0, GEPIA, and GEO databases were used to analyze GPX4's expression levels in DLBCL tissue, peripheral blood, and single cells, and evaluate its potential performance as a therapeutic and diagnostic marker. Cell experiments validate GPX4's role in DLBCL cells. And revealed the potential mechanism of GPX4's action from three aspects: immunity, pathogenic gene expression, and protein interaction. The results indicate that GPX4 can be used as a biomarker for treatment and diagnosis (FC > 1.5, P < 0.05, AUC>0.8, KM-P value < 0.05). In single cell data, GPX4 also showed high expression in immune cells. Besides, cell experiments have confirmed that GPX4's high expression can inhibit DLBCL cells' proliferation. Meanwhile, we found a negative correlation between GPX4 and the 16 core DLBCL's pathogenic genes, and a significant negative correlation with immune B cell infiltration. In summary, GPX4 can serve as a potential therapeutic and diagnostic marker for DLBCL. GPX4's high expression can lead to a good prognosis in DLBCL patients, which may be related to its inhibition of cancer cell proliferation, high expression of key pathogenic genes, and infiltration of immune B cells.
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Affiliation(s)
- Can Chen
- Department of Hematology, Affiliated Hangzhou First People's Hospital, West Lake University, School of Medicine, Hangzhou, China
| | - TongYu Li
- Department of Hematology, Ningbo First Hospital, Ningbo, China
| | - Yiwei Li
- Department of Hematology, Affiliated Hangzhou First People's Hospital, West Lake University, School of Medicine, Hangzhou, China
| | - Zhenzhen Chen
- Department of Hematology, Affiliated Hangzhou First People's Hospital, West Lake University, School of Medicine, Hangzhou, China
| | - Pengfei Shi
- Department of Hematology, Affiliated Hangzhou First People's Hospital, West Lake University, School of Medicine, Hangzhou, China
| | - Yun Li
- Team of Neonatal & Infant Development, Health and Nutrition, NDHN, School of Biology and Pharmaceutical Engineering, Wuhan Polytechnic University, Wuhan, China
- Kindstar Global Precision Medicine Institute, Wuhan, China
- Department of Scientific Research Project, Wuhan Kindstar Medical Laboratory Co., Ltd., Wuhan, China
| | - Shenxian Qian
- Department of Hematology, Affiliated Hangzhou First People's Hospital, West Lake University, School of Medicine, Hangzhou, China
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Zhu Y, Chang S, Liu J, Wang B. Identification of a novel cuproptosis-related gene signature for multiple myeloma diagnosis. Immun Inflamm Dis 2023; 11:e1058. [PMID: 38018590 PMCID: PMC10629272 DOI: 10.1002/iid3.1058] [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: 04/07/2023] [Revised: 08/19/2023] [Accepted: 10/11/2023] [Indexed: 11/30/2023] Open
Abstract
BACKGROUND Multiple myeloma (MM) ranks second among the most prevalent hematological malignancies. Recent studies have unearthed the promise of cuproptosis as a novel therapeutic intervention for cancer. However, no research has unveiled the particular roles of cuproptosis-related genes (CRGs) in the prediction of MM diagnosis. METHODS Microarray data and clinical characteristics of MM patients were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed gene analysis, least absolute shrinkage and selection operator (LASSO) and support vector machine-recursive feature elimination (SVM-RFE) algorithms were applied to identify potential signature genes for MM diagnosis. Predictive performance was further assessed by receiver operating characteristic (ROC) curves, nomogram analysis, and external data sets. Functional enrichment analysis was performed to elucidate the involved mechanisms. Finally, the expression of the identified genes was validated by quantitative real-time polymerase chain reaction (qRT-PCR) in MM cell samples. RESULTS The optimal gene signature was identified using LASSO and SVM-RFE algorithms based on the differentially expressed CRGs: ATP7A, FDX1, PDHA1, PDHB, MTF1, CDKN2A, and DLST. Our gene signature-based nomogram revealed a high degree of accuracy in predicting MM diagnosis. ROC curves showed the signature had dependable predictive ability across all data sets, with area under the curve values exceeding 0.80. Additionally, functional enrichment analysis suggested significant associations between the signature genes and immune-related pathways. The expression of the genes was validated in MM cells, indicating the robustness of these findings. CONCLUSION We discovered and validated a novel CRG signature with strong predictive capability for diagnosing MM, potentially implicated in MM pathogenesis and progression through immune-related pathways.
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Affiliation(s)
- Yidong Zhu
- Department of Traditional Chinese Medicine, Shanghai Tenth People's HospitalTongji University School of MedicineShanghaiChina
| | - Shuaikang Chang
- Department of Hematology, Shanghai East HospitalTongji University School of MedicineShanghaiChina
| | - Jun Liu
- Department of Traditional Chinese Medicine, Shanghai Tenth People's HospitalTongji University School of MedicineShanghaiChina
| | - Bo Wang
- Department of Endocrinology, Yangpu HospitalTongji University School of MedicineShanghaiChina
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