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Liu B, He S, Li C, Li Z, Feng C, Wang H, Tu C, Li Z. Development of a prognostic Neutrophil Extracellular Traps related lncRNA signature for soft tissue sarcoma using machine learning. Front Immunol 2024; 14:1321616. [PMID: 38264665 PMCID: PMC10803471 DOI: 10.3389/fimmu.2023.1321616] [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: 10/14/2023] [Accepted: 12/19/2023] [Indexed: 01/25/2024] Open
Abstract
Background Soft tissue sarcoma (STS) is a highly heterogeneous musculoskeletal tumor with a significant impact on human health due to its high incidence and malignancy. Long non-coding RNA (lncRNA) and Neutrophil Extracellular Traps (NETs) have crucial roles in tumors. Herein, we aimed to develop a novel NETsLnc-related signature using machine learning algorithms for clinical decision-making in STS. Methods We applied 96 combined frameworks based on 10 different machine learning algorithms to develop a consensus signature for prognosis and therapy response prediction. Clinical characteristics, univariate and multivariate analysis, and receiver operating characteristic curve (ROC) analysis were used to evaluate the predictive performance of our models. Additionally, we explored the biological behavior, genomic patterns, and immune landscape of distinct NETsLnc groups. For patients with different NETsLnc scores, we provided information on immunotherapy responses, chemotherapy, and potential therapeutic agents to enhance the precision medicine of STS. Finally, the gene expression was validated through real-time quantitative PCR (RT-qPCR). Results Using the weighted gene co-expression network analysis (WGCNA) algorithm, we identified NETsLncs. Subsequently, we constructed a prognostic NETsLnc signature with the highest mean c-index by combining machine learning algorithms. The NETsLnc-related features showed excellent and stable performance for survival prediction in STS. Patients in the low NETsLnc group, associated with improved prognosis, exhibited enhanced immune activity, immune infiltration, and tended toward an immunothermal phenotype with a potential immunotherapy response. Conversely, patients with a high NETsLnc score showed more frequent genomic alterations and demonstrated a better response to vincristine treatment. Furthermore, RT-qPCR confirmed abnormal expression of several signature lncRNAs in STS. Conclusion In conclusion, the NETsLnc signature shows promise as a powerful approach for predicting the prognosis of STS. which not only deepens our understanding of STS but also opens avenues for more targeted and effective treatment strategies.
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Affiliation(s)
- Binfeng Liu
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine of The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Shasha He
- Department of Oncology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Chenbei Li
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine of The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Zhaoqi Li
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine of The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Chengyao Feng
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine of The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Hua Wang
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine of The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Chao Tu
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine of The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Shenzhen Research Institute of Central South University, Guangdong, China
| | - Zhihong Li
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine of The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Shenzhen Research Institute of Central South University, Guangdong, China
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Chen Y, Tang J, Chen L, Chen J. Novel cuproptosis-related lncRNAs can predict the prognosis of patients with multiple myeloma. Transl Cancer Res 2023; 12:3074-3087. [PMID: 38130312 PMCID: PMC10731335 DOI: 10.21037/tcr-23-960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Accepted: 09/28/2023] [Indexed: 12/23/2023]
Abstract
Background Cuproptosis-related long-stranded non-coding RNAs (lncRNAs) have several implications for the prognosis of multiple myeloma (MM). This research aimed to construct a prognostic risk model for MM patients and explore the potential signaling pathways in the risk group. Methods Cuproptosis-related lncRNAs were obtained from the co-expression analysis of cuproptosis-related genes and lncRNAs. Subsequently, twelve cuproptosis-related lncRNAs were selected to construct a prognostic risk model of MM patients by the least absolute shrinkage and selection operator (LASSO) regression. Then, the clinical data of these patients were randomly divided into the training group and the testing group. Next, patients were divided into the low- and high-risk groups according to the median risk score. The Kaplan-Meier survival analysis was performed to clarify the prognostic differences between risk subtypes. Besides, the Cox analysis was conducted to identify whether the risk score can be used as an independent prognostic factor. In addition, the receiver operating characteristic (ROC) curve analysis and the concordance index (C-index) curve analysis were performed to elucidate the value of risk score as a prognostic indicator. Finally, the differential risk analysis and functional enrichment analysis were carried out to identify the potential signaling pathways in the low- and high-risk groups. Results The results demonstrated that the overall survival (OS) of patients in the high-risk group was shorter than that in the low-risk group. There were significant differences in the expression of genes in MM patients between the high- and low-risk groups. The Gene Ontology (GO) analysis results showed that the differentially expressed risk-related genes (DERGs) were mainly concentrated on the collagen-containing extracellular matrix. According to the Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis results, the DERGs may be related to the neuroactive ligand-receptor interaction and mitogen-activated protein kinase (MAPK) signaling pathway, indicating that they may be involved in the progression of tumors. Conclusions The findings of this study suggest that cuproptosis-related lncRNAs may be effective biomarkers for predicting the prognosis of MM patients, which is anticipated to contribute to the improvement of clinical outcomes.
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Affiliation(s)
- Yuying Chen
- Department of Hematology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jialin Tang
- Department of Hematology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Lin Chen
- Department of Hematology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jianbin Chen
- Department of Hematology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Tu C, Liu B, Li C, Feng C, Wang H, Zhang H, He S, Li Z. Integrative analysis of TROAP with molecular features, carcinogenesis, and related immune and pharmacogenomic characteristics in soft tissue sarcoma. MedComm (Beijing) 2023; 4:e369. [PMID: 37731946 PMCID: PMC10507284 DOI: 10.1002/mco2.369] [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: 03/09/2023] [Revised: 07/30/2023] [Accepted: 08/18/2023] [Indexed: 09/22/2023] Open
Abstract
Soft tissue sarcoma (STS) is an uncommon malignancy that often carries a grim prognosis. Trophinin-associated protein (TROAP) is augmented in a variety of tumors and can affect tumor proliferation. Nevertheless, the prognostic value and specific functions of TROAP in STS are still vague. Herein, we display that TROAP exhibits an augmented trend in STS, and its elevation correlates with a poor prognosis of STS. Furthermore, its reduction is related to increased immune cell infiltration, enhanced stroma, and elevation of immune activation. Meanwhile, the TROAP-derived genomic signature is validated to predict patient prognosis, immunotherapy, and drug response reliably. A nomogram constructed based on age, metastatic status, and a TROAP-derived risk score of an STS individual could be used to quantify the survival probability of STS. In addition, in vitro experiments have demonstrated that TROAP is overexpressed in STS, and the downregulation of TROAP could affect the proliferation, migration, metastasis, and cell cycle of STS cells. In summary, the TROAP expression is elevated in STS tissues and cells, which is related to the poor prognosis and malignant biological behaviors of STS. It could act as a potential prognostic biomarker for diagnosis and treatment of STS.
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Affiliation(s)
- Chao Tu
- Department of OrthopaedicsThe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
- Hunan Key Laboratory of Tumor Models and Individualized MedicineThe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
- Shenzhen Research Institute of Central South UniversityGuangdongChina
| | - Binfeng Liu
- Department of OrthopaedicsThe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
- Hunan Key Laboratory of Tumor Models and Individualized MedicineThe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Chenbei Li
- Department of OrthopaedicsThe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
- Hunan Key Laboratory of Tumor Models and Individualized MedicineThe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Chengyao Feng
- Department of OrthopaedicsThe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
- Hunan Key Laboratory of Tumor Models and Individualized MedicineThe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Hua Wang
- Department of OrthopaedicsThe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
- Hunan Key Laboratory of Tumor Models and Individualized MedicineThe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Haixia Zhang
- Department of OncologyThe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Shasha He
- Department of OncologyThe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Zhihong Li
- Department of OrthopaedicsThe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
- Hunan Key Laboratory of Tumor Models and Individualized MedicineThe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
- Shenzhen Research Institute of Central South UniversityGuangdongChina
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Ye H, Lu M, Tu C, Min L. Necroptosis in the sarcoma immune microenvironment: From biology to therapy. Int Immunopharmacol 2023; 122:110603. [PMID: 37467689 DOI: 10.1016/j.intimp.2023.110603] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 06/23/2023] [Accepted: 07/02/2023] [Indexed: 07/21/2023]
Abstract
Apoptosis resistance remains a major obstacle to treatment failure in sarcoma. Necroptosis is a caspase-independent programmed cell death, investigated as a novel strategy to eradicate anti-apoptotic tumor cells. The process is mediated by the receptor-interacting proteins kinase family and mixed lineage kinase domain-like proteins, which is morphologically similar to necrosis. Recent studies suggest that necroptosis in the tumor microenvironment has pro- or anti-tumor effects on immune response and cancer development. Necroptosis-related molecules display a remarkable value in prognosis prediction and therapeutic response evaluation of sarcoma. Furthermore, the induction of tumor necroptosis has been explored as a feasible therapeutic strategy against sarcoma and to synergize with immunotherapy. This review discusses the dual roles of necroptosis in the immune microenvironment and tumor progression, and explores the potential of necroptosis as a new target for sarcoma treatment.
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Affiliation(s)
- Huali Ye
- Department of Orthopedic Surgery and Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, China
| | - Minxun Lu
- Department of Orthopedic Surgery and Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, China
| | - Chongqi Tu
- Department of Orthopedic Surgery and Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, China
| | - Li Min
- Department of Orthopedic Surgery and Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, China.
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Liu B, Li C, Feng C, Wang H, Zhang H, Tu C, He S, Li Z. Integrative profiling analysis reveals prognostic significance, molecular characteristics, and tumor immunity of angiogenesis-related genes in soft tissue sarcoma. Front Immunol 2023; 14:1178436. [PMID: 37377953 PMCID: PMC10291125 DOI: 10.3389/fimmu.2023.1178436] [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: 03/02/2023] [Accepted: 05/26/2023] [Indexed: 06/29/2023] Open
Abstract
Background Soft tissue sarcoma (STS) is a class of malignant tumors originating from mesenchymal stroma with a poor prognosis. Accumulating evidence has proved that angiogenesis is an essential hallmark of tumors. Nevertheless, there is a paucity of comprehensive research exploring the association of angiogenesis-related genes (ARGs) with STS. Methods The ARGs were extracted from previous literature, and the differentially expressed ARGs were screened for subsequent analysis. Next, the least absolute shrinkage and selection operator (LASSO) and Cox regression analyses were conducted to establish the angiogenesis-related signature (ARSig). The predictive performance of the novel ARSig was confirmed using internal and external validation, subgroup survival, and independent analysis. Additionally, the association of the ARSig with the tumor immune microenvironment, tumor mutational burden (TMB), and therapeutic response in STS were further investigated. Notably, we finally conducted in vitro experiments to verify the findings from the bioinformatics analysis. Results A novel ARSig is successfully constructed and validated. The STS with a lower ARSig risk score in the training cohort has an improved prognosis. Also, consistent results were observed in the internal and external cohorts. The receiver operating characteristic (ROC) curve, subgroup survival, and independent analysis further indicate that the novel ARSig is a promising independent prognostic predictor for STS. Furthermore, it is proved that the novel ARSig is relevant to the immune landscape, TMB, immunotherapy, and chemotherapy sensitivity in STS. Encouragingly, we also validate that the signature ARGs are significantly dysregulated in STS, and ARDB2 and SRPK1 are closely connected with the malignant progress of STS cells. Conclusion In sum, we construct a novel ARSig for STS, which could act as a promising prognostic factor for STS and give a strategy for future clinical decisions, immune landscape, and personalized treatment of STS.
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Affiliation(s)
- Binfeng Liu
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Chenbei Li
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Chengyao Feng
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Hua Wang
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Haixia Zhang
- Department of Oncology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Chao Tu
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Shasha He
- Department of Oncology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Zhihong Li
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
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Wang D, Tian Z, Zhang P, Zhen L, Meng Q, Sun B, Xu X, Jia T, Li S. The molecular mechanisms of cuproptosis and its relevance to cardiovascular disease. Biomed Pharmacother 2023; 163:114830. [PMID: 37150036 DOI: 10.1016/j.biopha.2023.114830] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2022] [Revised: 04/11/2023] [Accepted: 04/30/2023] [Indexed: 05/09/2023] Open
Abstract
Recently, cuproptosis has been demonstrated to be a new non-apototic cell death mode that is characterized by copper dependence and the regulation of mitochondrial respiration. Cuproptosis is distinct from known cell death modes such as apoptosis, necrosis, pyroptosis, or ferroptosis. Excessive copper induces cuproptosis by promoting protein toxic stress reactions via copper-dependent anomalous oligomerization of lipoylation proteins in the tricarboxylic acid (TCA) cycle and reducing iron-sulfur cluster protein levels. Ferredoxin1 (FDX1) promotes dihydrolipoyl transacetylase (DLAT) lipoacylation and abates iron-sulfur cluster proteins by reducing Cu2+ to Cu+, inducing cell death. Copper homeostasis depends on the copper transporter, and disturbances to this homeostasis cause cuproptosis. Recent evidence has shown that cuproptosis plays a significant role in the occurrence and development of many cardiovascular diseases, such as myocardial ischemia/reperfusion (I/R) injury, heart failure, atherosclerosis, and arrhythmias. Copper chelators, such as ammonium tetrathiomolybdate(VI) and DL-Penicillamine, may ease the above cardiovascular diseases by inhibiting the cuproptosis pathway. Oxidative phosphorylation inhibitors may inhibit cuproptosis by inhibiting protein stress response. In conclusion, cuproptosis plays an essential role in cardiovascular disease pathogenesis. Inhibition of cardiovascular cuproptosis is expected to become a potential treatment. Here, we will thoroughly review the molecular mechanisms involved in cuproptosis and its significance in cardiovascular disease.
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Affiliation(s)
- Di Wang
- Department of Anesthesiology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Zhenyu Tian
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health. Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational. Cardiovascular Medicine, Department of Cardiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Peng Zhang
- Department of Urology, Zibo Hospital of Integrated Traditional Chinese and Western Medicine, Zibo, China
| | - Lv Zhen
- Department of Cardiology, Zibo First Hospital, Zibo, China
| | - Qingju Meng
- Department of Internal Medicine, Zoucheng Xiangcheng Town Health Center, Jining, China
| | - Benteng Sun
- Department of Primary and Secondary education, Qufu Mingde School, Jining, China
| | - Xingli Xu
- Ultrasound in Cardiac Electrophysiology and Biomechanics Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Tong Jia
- Department of Geratology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Shandong First Medical University, Jinan, China
| | - Shengqiang Li
- Department of Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Shandong First Medical University, Jinan, China.
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