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Lou QM, Lai FF, Li JW, Mao KJ, Wan HT, He Y. Mechanisms of cuproptosis and its relevance to distinct diseases. Apoptosis 2024:10.1007/s10495-024-01983-0. [PMID: 38824478 DOI: 10.1007/s10495-024-01983-0] [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: 05/21/2024] [Indexed: 06/03/2024]
Abstract
Copper is a trace element required by the organism, but once the level of copper exceeds the threshold, it becomes toxic and even causes death. The underlying mechanisms of copper-induced death are inconclusive, with different studies showing different opinions on the mechanism of copper-induced death. Multiple investigations have shown that copper induces oxidative stress, endoplasmic reticulum stress, nucleolar stress, and proteasome inhibition, all of which can result in cell death. The latest research elucidates a copper-dependent death and denominates it as cuproptosis. Cuproptosis takes place through the combination of copper and lipoylated proteins of the tricarboxylic acid cycle, triggering agglomeration of lipoylated proteins and loss of iron-sulfur cluster proteins, leading to proteotoxic stress and ultimately death. Given the toxicity and necessity of copper, abnormal levels of copper lead to diseases such as neurological diseases and cancer. The development of cancer has a high demand for copper, neurological diseases involve the change of copper contents and the binding of copper to proteins. There is a close relationship between these two kinds of diseases and copper. Here, we summarize the mechanisms of copper-related death, and the association between copper and diseases, to better figure out the influence of copper in cell death and diseases, thus advancing the clinical remedy of these diseases.
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Affiliation(s)
- Qiao-Mei Lou
- School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Fei-Fan Lai
- School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Jing-Wei Li
- School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Kun-Jun Mao
- School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Hai-Tong Wan
- School of Basic Medicine Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China.
| | - Yu He
- School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China.
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Xing Z, Xu Y, Xu X, Yang K, Qin S, Jiao Y, Wang L. Identification and validation of a novel risk model based on cuproptosis‑associated m6A for head and neck squamous cell carcinoma. BMC Med Genomics 2024; 17:137. [PMID: 38778403 PMCID: PMC11110395 DOI: 10.1186/s12920-024-01916-5] [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: 02/29/2024] [Accepted: 05/17/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Head and neck squamous cell carcinoma (HNSCC) is a prevalent cancer with a poor survival rate due to anatomical limitations of the head and a lack of reliable biomarkers. Cuproptosis represents a novel cellular regulated death pathway, and N6-methyladenosine (m6A) is the most common internal RNA modification in mRNA. They are intricately connected to tumor formation, progression, and prognosis. This study aimed to construct a risk model for HNSCC using a set of mRNAs associated with m6A regulators and cuproptosis genes (mcrmRNA). METHODS RNA-seq and clinical data of HNSCC patients from The Cancer Genome Atlas (TCGA) database were analyzed to develop a risk model through the least absolute shrinkage and selection operator (LASSO) analysis. Survival analysis and receiver operating characteristic (ROC) analysis were performed for the high- and low-risk groups. Additionally, the model was validated using the GSE41613 dataset from the Gene Expression Omnibus (GEO) database. GSEA and CIBERSORT were applied to investigate the immune microenvironment of HNSCC. RESULTS A risk model consisting of 32 mcrmRNA was developed using the LASSO analysis. The risk score of patients was confirmed to be an independent prognostic indicator by multivariate Cox analysis. The high-risk group exhibited a higher tumor mutation burden. Additionally, CIBERSORT analysis indicated varying levels of immune cell infiltration between the two groups. Significant disparities in drug sensitivity to common medications were also observed. Enrichment analysis further unveiled significant differences in metabolic pathways and RNA processing between the two groups. CONCLUSIONS Our risk model can predict outcomes for HNSCC patients and offers valuable insights for personalized therapeutic approaches.
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Affiliation(s)
- Zhongxu Xing
- Department of Radiation Oncology, The First Affiliated Hospital of Soochow University, Suzhou, 21500, China
| | - Yijun Xu
- Department of Radiation Oncology, The First Affiliated Hospital of Soochow University, Suzhou, 21500, China
| | - Xiaoyan Xu
- Department of Radiation Oncology, The First Affiliated Hospital of Soochow University, Suzhou, 21500, China
| | - Kaiwen Yang
- Department of Radiation Oncology, The First Affiliated Hospital of Soochow University, Suzhou, 21500, China
| | - Songbing Qin
- Department of Radiation Oncology, The First Affiliated Hospital of Soochow University, Suzhou, 21500, China
| | - Yang Jiao
- State Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou, 215123, China.
| | - Lili Wang
- Department of Radiation Oncology, The First Affiliated Hospital of Soochow University, Suzhou, 21500, China.
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Li H, Tang X, Sun Z, Qu Z, Zou X. Integrating bioinformatics and experimental models to investigate the mechanism of the chelidonine-induced mitotic catastrophe via the AKT/FOXO3/FOXM1 axis in breast cancer cells. BIOMOLECULES & BIOMEDICINE 2024; 24:560-574. [PMID: 37976368 PMCID: PMC11088894 DOI: 10.17305/bb.2023.9665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 10/25/2023] [Accepted: 11/15/2023] [Indexed: 11/19/2023]
Abstract
Breast cancer (BC) is currently the most frequent and lethal cancer among women, and therefore, identification of novel biomarkers and potential anticancer agents for BC is crucial. Chelidonine is one of the main active ingredients of Chelidonium majus, which has been applied in Chinese medicine prescriptions to treat cancer. This paper aimed to evaluate the ability of chelidonine to trigger mitotic catastrophe in BC cells and to clarify its mechanism through the AKT/FOXO3/FOXM1 pathway. Bioinformatics analysis revealed that forkhead box O3 (FOXO3) was downregulated in different subtypes of BC. Factors such as age, stage, Scarff-Bloom-Richardson (SBR) grade, diverse BC subclasses, and triple-negative status were inversely correlated to FOXO3 levels in BC patients compared with healthy controls. Notably, patients exhibiting higher FOXO3 expression levels demonstrated better overall survival (OS) and relapse-free survival (RFS). Moreover, FOXM1 levels were negatively correlated with both OS and RFS in BC patients. These results revealed that FOXO3 might be considered a predictive biomarker for the prognosis of BC. By utilizing Gene Set Enrichment Analysis (GSEA), we delved into the main Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment pathways of FOXO3, and the results suggested that FOXO3 was mainly involved in cancer-related pathways and the cell cycle. Thereafter, MTT and flow cytometry (FCM) analysis indicated that chelidonine inhibited BC cell line proliferation and induced M phase arrest. It was found that chelidonine treatment induced MCF-7 cell apoptosis, significantly reduced the expression of survivin and promoted the expression of p53 and caspase-9. Further morphological observation illustrated depolymerization of the actin skeleton and shortening of actin filaments in BC cells, leading to the typical characteristics of mitotic catastrophe, such as abnormal mitosis and multinucleated cells. Western blot analysis demonstrated that chelidonine inhibited the expression of p-AKT to promote the expression of FOXO3 protein and weaken the expression levels of FOXM1 and polo-like kinase 1 (PLK1). Taken together, our present work proved that FOXO3 might be considered a potential therapeutic target for BC. Chelidonine emerges as a promising agent to treat BC by inducing M phase arrest of BC cells and hindering the AKT/FOXO3/FOXM1 axis, thereby inducing mitotic catastrophe in BC.
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Affiliation(s)
- Huimin Li
- College of Pharmacy, Harbin University of Commerce, Harbin, China
| | - Xiyu Tang
- College of Pharmacy, Harbin University of Commerce, Harbin, China
| | - Zhiwei Sun
- Pharmaceutical Engineering Technology Research Center, Harbin University of Commerce, Harbin, China
| | - Zhongyuan Qu
- College of Pharmacy, Harbin University of Commerce, Harbin, China
| | - Xiang Zou
- Pharmaceutical Engineering Technology Research Center, Harbin University of Commerce, Harbin, China
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Ai L, Yi N, Qiu C, Huang W, Zhang K, Hou Q, Jia L, Li H, Liu L. Revolutionizing breast cancer treatment: Harnessing the related mechanisms and drugs for regulated cell death (Review). Int J Oncol 2024; 64:46. [PMID: 38456493 PMCID: PMC11000534 DOI: 10.3892/ijo.2024.5634] [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: 09/30/2023] [Accepted: 02/22/2024] [Indexed: 03/09/2024] Open
Abstract
Breast cancer arises from the malignant transformation of mammary epithelial cells under the influence of various carcinogenic factors, leading to a gradual increase in its prevalence. This disease has become the leading cause of mortality among female malignancies, posing a significant threat to the health of women. The timely identification of breast cancer remains challenging, often resulting in diagnosis at the advanced stages of the disease. Conventional therapeutic approaches, such as surgical excision, chemotherapy and radiotherapy, exhibit limited efficacy in controlling the progression and metastasis of the disease. Regulated cell death (RCD), a process essential for physiological tissue cell renewal, occurs within the body independently of external influences. In the context of cancer, research on RCD primarily focuses on cuproptosis, ferroptosis and pyroptosis. Mounting evidence suggests a marked association between these specific forms of RCD, and the onset and progression of breast cancer. For example, a cuproptosis vector can effectively bind copper ions to induce cuproptosis in breast cancer cells, thereby hindering their proliferation. Additionally, the expression of ferroptosis‑related genes can enhance the sensitivity of breast cancer cells to chemotherapy. Likewise, pyroptosis‑related proteins not only participate in pyroptosis, but also regulate the tumor microenvironment, ultimately leading to the death of breast cancer cells. The present review discusses the unique regulatory mechanisms of cuproptosis, ferroptosis and pyroptosis in breast cancer, and the mechanisms through which they are affected by conventional cancer drugs. Furthermore, it provides a comprehensive overview of the significance of these forms of RCD in modulating the efficacy of chemotherapy and highlights their shared characteristics. This knowledge may provide novel avenues for both clinical interventions and fundamental research in the context of breast cancer.
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Affiliation(s)
- Leyu Ai
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region 830017, P.R. China
- Xinjiang Key Laboratory of Molecular Biology for Endemic Diseases, Urumqi, Xinjiang Uygur Autonomous Region 830017, P.R. China
- Department of Clinical Medicine, Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region 830017, P.R. China
| | - Na Yi
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region 830017, P.R. China
- Xinjiang Key Laboratory of Molecular Biology for Endemic Diseases, Urumqi, Xinjiang Uygur Autonomous Region 830017, P.R. China
| | - Chunhan Qiu
- Department of Clinical Medicine, Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region 830017, P.R. China
| | - Wanyi Huang
- Medical College, Yan'an University, Yan'an, Shaanxi 716000, P.R. China
| | - Keke Zhang
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region 830017, P.R. China
- Xinjiang Key Laboratory of Molecular Biology for Endemic Diseases, Urumqi, Xinjiang Uygur Autonomous Region 830017, P.R. China
| | - Qiulian Hou
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region 830017, P.R. China
- Xinjiang Key Laboratory of Molecular Biology for Endemic Diseases, Urumqi, Xinjiang Uygur Autonomous Region 830017, P.R. China
| | - Long Jia
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region 830017, P.R. China
- Xinjiang Key Laboratory of Molecular Biology for Endemic Diseases, Urumqi, Xinjiang Uygur Autonomous Region 830017, P.R. China
| | - Hui Li
- Central Laboratory of Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region 830017, P.R. China
| | - Ling Liu
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region 830017, P.R. China
- Xinjiang Key Laboratory of Molecular Biology for Endemic Diseases, Urumqi, Xinjiang Uygur Autonomous Region 830017, P.R. China
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Wei C, Liang Y, Mo D, Lin Q, Liu Z, Li M, Qin Y, Fang M. Cost-effective prognostic evaluation of breast cancer: using a STAR nomogram model based on routine blood tests. Front Endocrinol (Lausanne) 2024; 15:1324617. [PMID: 38529388 PMCID: PMC10961337 DOI: 10.3389/fendo.2024.1324617] [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: 10/19/2023] [Accepted: 02/26/2024] [Indexed: 03/27/2024] Open
Abstract
Background Breast cancer (BC) is the most common and prominent deadly disease among women. Predicting BC survival mainly relies on TNM staging, molecular profiling and imaging, hampered by subjectivity and expenses. This study aimed to establish an economical and reliable model using the most common preoperative routine blood tests (RT) data for survival and surveillance strategy management. Methods We examined 2863 BC patients, dividing them into training and validation cohorts (7:3). We collected demographic features, pathomics characteristics and preoperative 24-item RT data. BC risk factors were identified through Cox regression, and a predictive nomogram was established. Its performance was assessed using C-index, area under curves (AUC), calibration curve and decision curve analysis. Kaplan-Meier curves stratified patients into different risk groups. We further compared the STAR model (utilizing HE and RT methodologies) with alternative nomograms grounded in molecular profiling (employing second-generation short-read sequencing methodologies) and imaging (utilizing PET-CT methodologies). Results The STAR nomogram, incorporating subtype, TNM stage, age and preoperative RT data (LYM, LYM%, EOSO%, RDW-SD, P-LCR), achieved a C-index of 0.828 in the training cohort and impressive AUCs (0.847, 0.823 and 0.780) for 3-, 5- and 7-year OS rates, outperforming other nomograms. The validation cohort showed similar impressive results. The nomogram calculates a patient's total score by assigning values to each risk factor, higher scores indicating a poor prognosis. STAR promises potential cost savings by enabling less intensive surveillance in around 90% of BC patients. Compared to nomograms based on molecular profiling and imaging, STAR presents a more cost-effective, with potential savings of approximately $700-800 per breast cancer patient. Conclusion Combining appropriate RT parameters, STAR nomogram could help in the detection of patient anemia, coagulation function, inflammation and immune status. Practical implementation of the STAR nomogram in a clinical setting is feasible, and its potential clinical impact lies in its ability to provide an early, economical and reliable tool for survival prediction and surveillance strategy management. However, our model still has limitations and requires external data validation. In subsequent studies, we plan to mitigate the potential impact on model robustness by further updating and adjusting the data and model.
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Affiliation(s)
- Caibiao Wei
- Department of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China
| | - Yihua Liang
- Department of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China
| | - Dan Mo
- Department of Breast, Guangxi Zhuang Autonomous Region Maternal and Child Health Care Hospital, Nanning, China
| | - Qiumei Lin
- Department of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China
| | - Zhimin Liu
- Department of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China
| | - Meiqin Li
- Department of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China
| | - Yuling Qin
- Department of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China
| | - Min Fang
- Department of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China
- Guangxi Clinical Research Center for Anesthesiology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China
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Liu H, Chan S, Li M, Chen S. Cuproptosis-Related Gene Signature Contributes to Prognostic Prediction and Immunosuppression in Multiple Myeloma. Mol Biotechnol 2024; 66:475-488. [PMID: 37213025 DOI: 10.1007/s12033-023-00770-7] [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: 01/14/2023] [Accepted: 05/08/2023] [Indexed: 05/23/2023]
Abstract
Cuproptosis is a type of programmed cell death triggered by accumulation of intracellular copper which was considered closely related to tumor progression. The study of cuproptosis in multiple myeloma (MM) is however limited. To determine the prognostic significance of cuproptosis-related gene signature in MM, we interrogated gene expression and overall survival with other available clinical variables from public datasets. Four cuproptosis-related genes were included to establish a prognostic survival model by least absolute shrinkage and selection operator (LASSO) Cox regression analysis, which showed a good performance on prognosis prediction in both training and validation cohorts. Patients with higher cuproptosis-related risk score (CRRS) exhibited worse prognosis compared with lower risk score. Survival prediction capacity and clinical benefit were elevated after integrating CRRS to existing prognostic stratification system (International Staging System, ISS or Revised International Staging System, RISS) both on 3-year and 5-year survival. Based on CRRS groups, functional enrichment analysis and immune infiltration in bone marrow microenvironment revealed correlation between CRRS and immunosuppression. In conclusion, our study found that cuproptosis-related gene signature is an independent poor prognostic factor and functions negatively on immune microenvironment, which provides another perspective on prognosis assessment and immunotherapy strategy in MM.
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Affiliation(s)
- Huixin Liu
- Department of Hematopathology, The First Affiliated Hospital, Sun Yat-sen University, No. 58, Zhongshan 2Nd Road, Guangzhou, 510080, China.
| | - Szehoi Chan
- Department of Pharmacology, Molecular Cancer Research Center, School of Medicine, Sun Yat-sen University, No.66, Gongchang Road, Shenzhen, 518107, China
| | - Miao Li
- Department of Pharmacology, Molecular Cancer Research Center, School of Medicine, Sun Yat-sen University, No.66, Gongchang Road, Shenzhen, 518107, China
| | - Shuna Chen
- Department of Pharmacology, Molecular Cancer Research Center, School of Medicine, Sun Yat-sen University, No.66, Gongchang Road, Shenzhen, 518107, China
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Xia Q, Shen J, Wang Q, Chen R, Zheng X, Yan Q, Du L, Li H, Duan S. Cuproptosis-associated ncRNAs predict breast cancer subtypes. PLoS One 2024; 19:e0299138. [PMID: 38408075 PMCID: PMC10896520 DOI: 10.1371/journal.pone.0299138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 02/05/2024] [Indexed: 02/28/2024] Open
Abstract
BACKGROUND Cuproptosis is a novel copper-dependent mode of cell death that has recently been discovered. The relationship between Cuproptosis-related ncRNAs and breast cancer subtypes, however, remains to be studied. METHODS The aim of this study was to construct a breast cancer subtype prediction model associated with Cuproptosis. This model could be used to determine the subtype of breast cancer patients. To achieve this aim, 21 Cuproptosis-related genes were obtained from published articles and correlation analysis was performed with ncRNAs differentially expressed in breast cancer. Random forest algorithms were subsequently utilized to select important ncRNAs and build breast cancer subtype prediction models. RESULTS A total of 94 ncRNAs significantly associated with Cuproptosis were obtained and the top five essential features were chosen to build a predictive model. These five biomarkers were differentially expressed in the five breast cancer subtypes and were closely associated with immune infiltration, RNA modification, and angiogenesis. CONCLUSION The random forest model constructed based on Cuproptosis-related ncRNAs was able to accurately predict breast cancer subtypes, providing a new direction for the study of clinical therapeutic targets.
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Affiliation(s)
- Qing Xia
- College of Pharmacy, Zhejiang University of Technology, Hangzhou, Zhejiang, China
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, 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, Zhejiang, China
| | - Qurui Wang
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China
| | - Ruixiu Chen
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China
| | - Xinying Zheng
- College of Pharmacy, Zhejiang University of Technology, Hangzhou, Zhejiang, China
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China
| | - Qibin Yan
- College of Pharmacy, Zhejiang University of Technology, Hangzhou, Zhejiang, China
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China
| | - Lihua Du
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China
| | - Hanbing Li
- College of Pharmacy, Zhejiang University of Technology, Hangzhou, 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, Zhejiang, China
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Sha R, Dong X, Yan S, Dai H, Sun A, You L, Guo Z. Cuproptosis-related genes predict prognosis and trastuzumab therapeutic response in HER2-positive breast cancer. Sci Rep 2024; 14:2908. [PMID: 38316885 PMCID: PMC10844230 DOI: 10.1038/s41598-024-52638-8] [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: 06/25/2023] [Accepted: 01/22/2024] [Indexed: 02/07/2024] Open
Abstract
Breast cancer is the most common diagnosed cancer, the HER2-positive subtype account for 15% of all breast cancer. HER2-targeted therapy is the mainstay treatment for HER2-positive breast cancer. Cuproptosis is a novel form of programmed cell death, and is caused by mitochondrial lipoylation and destabilization of iron-sulfur proteins triggered by copper, which was considered as a key player in various biological processes. However, the roles of cuproptosis-related genes in HER2-positive breast cancer remain largely unknown. In the present study, we constructed a prognostic prediction model of HER2-positive breast cancer patients using TCGA database. Dysregulated genes for cells resistant to HER2-targeted therapy were analyzed in the GEO dataset. KEGG pathway, GO enrichment and GSEA was performed respectively. The immune landscape of DLAT was analyzed by CIBERSORT algorithm and TIDE algorithm. HER2-positive breast cancer patients with high CRGs risk score showed shorter OS. DLAT was downregulated and correlated with better survival of HER2-positive breast cancer patients (HR = 3.30, p = 0.022). High expressed DLAT was associated with resistant to HER2-targeted therapy. Knocking down DLAT with siRNA increased sensitivity of breast cancer to trastuzumab. KEGG pathway and GO enrichment of DEGs indicated that DLAT participates in various pathways correlated with organelle fission, chromosome segregation, nuclear division, hormone-mediated signaling pathway, regulation of intracellular estrogen receptor signaling pathway, condensed chromosome and PPAR signaling pathway. There was a negative correlation between TIDE and DLAT expression (r = - 0.292, p < 0.001), which means high DLAT expression is an indicator of sensitivity to immunotherapy. In conclusion, our study constructed a four CRGs signature prognostic prediction model and identified DLAT as an independent prognostic factor and associated with resistant to HER2-targeted therapy for HER2-positive breast cancer patients.
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Affiliation(s)
- Rui Sha
- Department of Thyroid and Breast Surgery, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), 2 Zheshan West Road, Wuhu, 241001, Anhui, China
| | - Xinrui Dong
- Department of Breast Surgery, The First Affiliated Hospital With Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, Jiangsu, China
| | - Shanshan Yan
- Center for Medical Ultrasound, Suzhou Municipal Hospital, Nanjing Medical University Affiliated Suzhou Hospital, Suzhou, 215000, Jiangsu, China
| | - Huijuan Dai
- Renji Hospital, School of Medicine, Shanghai Jiaotong University, 1630 Dongfang Road, Shanghai, 200127, China
| | - Aijun Sun
- Department of Thyroid and Breast Oncological Surgery, Xuzhou Medical College Affiliated Huaian Hospital, 62 Huaihai South Road, Huaian, 223001, Jiangsu, China.
| | - Liuxia You
- Department of Clinical Laboratory, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian, China.
| | - Zongjin Guo
- Department of Interventional Radiology, The University of HongKong-Shenzhen Hospital, Shenzhen, 518053, China.
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Huang S, Lai H, Pan X, Lin Q, Qin Y, Liu F, Fang M, Huang W, Wei C. Development and Validation of a Nomogram for Predicting Survival Based on Ferritin and Transferrin Ratio in Breast Cancer Patients. Cancer Control 2024; 31:10732748241261553. [PMID: 38850515 PMCID: PMC11162600 DOI: 10.1177/10732748241261553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 05/08/2024] [Accepted: 05/28/2024] [Indexed: 06/10/2024] Open
Abstract
BACKGROUND Our objective is to develop a predictive model utilizing the ferritin and transferrin ratio (FTR) and clinical factors to forecast overall survival (OS) in breast cancer (BC) patients. METHODS We conducted a retrospective analysis of clinical data from 2858 BC patients diagnosed between 2013 and 2021. Subsequently, the cohort of 2858 BC patients underwent random assignment into distinct subsets: a training cohort comprising 2002 patients and a validation cohort comprising 856 patients, maintaining a proportional ratio of 7:3. Employing multivariable Cox regression analysis within the training cohort, we derived a prognostic nomogram. The predictive performance was assessed using calibration curves, C-index, and decision curve analysis. RESULTS The final prognostic model included the TNM stage, subtype, hemoglobin levels, and the ferritin-transferrin ratio. The nomogram achieved a C-index of .794 (95% CI: .777-.810). The nomogram demonstrated superior predictive accuracy for OS at 3, 5, and 7 years for BC, with area under the time-dependent curves of .812, .782, and .773, respectively. These values notably outperformed those of the conventional TNM stage. Decision curve analysis reaffirmed the greater net benefit of our nomogram compared to the TNM stage. These findings were subsequently validated in the independent validation cohort. CONCLUSION The FTR-based prognostic model may predict a patient's OS better than the TNM stage in a clinical setting. The nomogram can provide an early, affordable, and reliable tool for survival prediction, as well as aid clinicians in treatment option-making and prognosis evaluation. However, further multi-center prospective trials are required to confirm the reliability of the existing nomogram.
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Affiliation(s)
- Shuqing Huang
- Department of State-owned Asset Supervision and Administration Office, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Hao Lai
- Department of Guangxi Clinical Research Center for Colorectal Cancer, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Xiaolan Pan
- Department of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Qiumei Lin
- Department of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Yuling Qin
- Department of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Fengfei Liu
- Department of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Min Fang
- Department of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Wencheng Huang
- Department of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Caibiao Wei
- Department of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, China
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Li C, Xiao Y, Cao H, Chen Y, Li S, Yin F. Cuproptosis Regulates Microenvironment and Affects Prognosis in Prostate Cancer. Biol Trace Elem Res 2024; 202:99-110. [PMID: 37155084 DOI: 10.1007/s12011-023-03668-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Accepted: 04/11/2023] [Indexed: 05/10/2023]
Abstract
Current immunotherapy for prostate cancer is still in the stage of clinical trials. This delay is thought to be caused by an unclear regulatory mechanism of the immune microenvironment, which makes it impossible to distinguish patients suitable for immunotherapy. Cuprotosis may be related to the heterogeneity of immune microenvironment, which was regarded as a new copper-dependent cell death mode, was proposed, and gain attention. We explored for the first time the relationship between cuprotosis and the immune microenvironment of prostate cancer and constructed cuprotosis score. RNA sequencing data sets for prostate cancer were downloaded from public databases. Consensus clustering was applied to distinguish cuprotosis phenotype based on the expression of cuproptosis-related genes (CRGs) identified as prognostic factors. Genomic phenotypes of CRG clusters were depicted via consensus clustering. Cuprotosis score was established on the basis of differentially expressed genes (DEGs) identified as prognostic factors via principal component analysis. Cuprotosis score = the first principal component of prognostic factors + the second principal component of prognostic factors. The value of cuproptosis score in predicting prognosis and immunotherapy response was evaluated. PDHA1 (HR = 3.86, P < 0.001) and GLS (HR = 1.75, P = 0.018) were risk factors for prognosis of prostate cancer patients, while DBT (HR = 0.66, P = 0.048) was a favorable factor for prognosis of prostate cancer patients. CRG clusters had different prognosis and immune cell infiltration. So as gene clusters. Prostate cancer patients with low cuprotosis score showed better prognosis for biochemical relapse-free survival. Cuprotosis score is accompanied with high immune score and Gleason score. As cuprotosis genes, PDHA1, GLS, and DBT were identified as independent prognostic factors of prostate cancer. Cuprotosis score was established via principal component analysis of PDHA1, GLS, and DBT, which can be used as a predictor of prognosis and immunotherapy response of prostate cancer patients, and can characterize immune cells infiltration in tumors. Cuproptosis was involved in the regulation of immune microenvironment, which may depend on the effect of tricarboxylic acid cycle. Our study provided clues to reveal the relationship between copper death and immune microenvironment, highlighted the clinical significance of cuproptosis, and provided a reference for the development of personalized immunotherapy.
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Affiliation(s)
- Chao Li
- Department of Urology, Shijiazhuang People's Hospital, 9 Fangbei Road, Shijiazhuang, 050011, Hebei Province, China
| | - Yongqiang Xiao
- Department of Urology, Shijiazhuang People's Hospital, 9 Fangbei Road, Shijiazhuang, 050011, Hebei Province, China
| | - Heran Cao
- Department of Urology, Shijiazhuang People's Hospital, 9 Fangbei Road, Shijiazhuang, 050011, Hebei Province, China
| | - Yan Chen
- Department of Urology, Shijiazhuang People's Hospital, 9 Fangbei Road, Shijiazhuang, 050011, Hebei Province, China
| | - Shen Li
- Department of Urology, Shijiazhuang People's Hospital, 9 Fangbei Road, Shijiazhuang, 050011, Hebei Province, China
| | - Fengchao Yin
- Department of Urology, Shijiazhuang People's Hospital, 9 Fangbei Road, Shijiazhuang, 050011, Hebei Province, China.
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Dai L, Zhou P, Lyu L, Jiang S. Systematic analysis based on the cuproptosis-related genes identifies ferredoxin 1 as an immune regulator and therapeutic target for glioblastoma. BMC Cancer 2023; 23:1249. [PMID: 38114959 PMCID: PMC10731758 DOI: 10.1186/s12885-023-11727-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 12/07/2023] [Indexed: 12/21/2023] Open
Abstract
Glioblastoma multiforme (GBM) is recognized as the prevailing malignant and aggressive primary brain tumor, characterized by an exceedingly unfavorable prognosis. Cuproptosis, a recently identified form of programmed cell death, exhibits a strong association with cancer progression, therapeutic response, and prognostic outcomes. However, the specific impact of cuproptosis on GBM remains uncertain. To address this knowledge gap, we obtained transcriptional and clinical data pertaining to GBM tissues and their corresponding normal samples from various datasets, including TCGA, CGGA, GEO, and GTEx. R software was utilized for the analysis of various statistical techniques, including survival analysis, cluster analysis, Cox regression, Lasso regression, gene enrichment analysis, drug sensitivity analysis, and immune microenvironment analysis. Multiple assays were conducted to investigate the expression of genes related to cuproptosis and their impact on the proliferation, invasion, and migration of glioblastoma multiforme (GBM) cells. The datasets were obtained and prognostic risk score models were constructed and validated using differentially expressed genes (DEGs) associated with cuproptosis. To enhance the practicality of these models, a nomogram was developed.Patients with glioblastoma multiforme (GBM) who were classified as high risk exhibited a more unfavorable prognosis and shorter overall survival compared to those in the low risk group. Additionally, we specifically chose FDX1 from the differentially expressed genes (DEGs) within the high risk group to assess its expression, prognostic value, biological functionality, drug responsiveness, and immune cell infiltration. The findings demonstrated that FDX1 was significantly upregulated and associated with a poorer prognosis in GBM. Furthermore, its elevated expression appeared to be linked to various metabolic processes and the susceptibility to chemotherapy drugs. Moreover, FDX1 was found to be involved in immune cell infiltration and exhibited correlations with multiple immunosuppressive genes, including TGFBR1 and PDCD1LG2. The aforementioned studies offer substantial assistance in informing the chemotherapy and immunotherapy approaches for GBM. In summary, these findings contribute to a deeper comprehension of cuproptosis and offer novel perspectives on the involvement of cuproptosis-related genes in GBM, thereby presenting a promising therapeutic strategy for GBM patients.
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Affiliation(s)
- Lirui Dai
- Department of Neurosurgery, Pituitary Adenoma Multidisciplinary Center, West China Hospital of Sichuan University, Chengdu, 610041, Sichuan, China
| | - Peizhi Zhou
- Department of Neurosurgery, Pituitary Adenoma Multidisciplinary Center, West China Hospital of Sichuan University, Chengdu, 610041, Sichuan, China
| | - Liang Lyu
- Department of Neurosurgery, Pituitary Adenoma Multidisciplinary Center, West China Hospital of Sichuan University, Chengdu, 610041, Sichuan, China
| | - Shu Jiang
- Department of Neurosurgery, Pituitary Adenoma Multidisciplinary Center, West China Hospital of Sichuan University, Chengdu, 610041, Sichuan, China.
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Liang J, Wang X, Yang J, Sun P, Sun J, Cheng S, Liu J, Ren Z, Ren M. Identification of disulfidptosis-related subtypes, characterization of tumor microenvironment infiltration, and development of a prognosis model in breast cancer. Front Immunol 2023; 14:1198826. [PMID: 38035071 PMCID: PMC10684933 DOI: 10.3389/fimmu.2023.1198826] [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: 04/02/2023] [Accepted: 10/31/2023] [Indexed: 12/02/2023] Open
Abstract
Introduction Breast cancer (BC) is now the most common type of cancer in women. Disulfidptosis is a new regulation of cell death (RCD). RCD dysregulation is causally linked to cancer. However, the comprehensive relationship between disulfidptosis and BC remains unknown. This study aimed to explore the predictive value of disulfidptosis-related genes (DRGs) in BC and their relationship with the TME. Methods This study obtained 11 disulfidptosis genes (DGs) from previous research by Gan et al. RNA sequencing data of BC were downloaded from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus database (GEO) databases. First, we examined the effect of DG gene mutations and copy number changes on the overall survival of breast cancer samples. We then used the expression profile data of 11 DGs and survival data for consensus clustering, and BC patients were divided into two clusters. Survival analysis, gene set variation analysis (GSVA) and ss GSEA were used to compare the differences between them. Subsequently, DRGs were identified between the clusters used to perform Cox regression and least absolute shrinkage and selection operator regression (LASSO) analyses to construct a prognosis model. Finally, the immune cell infiltration pattern, immunotherapy response, and drug sensitivity of the two subtypes were analyzed. CCK-8 and a colony assay obtained by knocking down genes and gene sequencing were used to validate the model. Result Two DG clusters were identified based on the expression of 11DGs. Then, 225 DRGs were identified between them. RS, composed of six genes, showed a significant relationship with survival, immune cell infiltration, clinical characteristics, immune checkpoints, immunotherapy response, and drug sensitivity. Low-RS shows a better prognosis and higher immunotherapy response than high-RS. A nomogram with perfect stability constructed using signature and clinical characteristics can predict the survival of each patient. CCK-8 and colony assay obtained by knocking down genes have demonstrated that the knockdown of high-risk genes in the RS model significantly inhibited cell proliferation. Discussion This study elucidates the potential relationship between disulfidptosis-related genes and breast cancer and provides new guidance for treating breast cancer.
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Affiliation(s)
- Jiahui Liang
- Department of Breast Surgery, Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Xin Wang
- Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Jing Yang
- Department of Breast Surgery, Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Peng Sun
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Jingjing Sun
- Department of Breast Surgery, Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Shengrong Cheng
- Department of Plastic Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Jincheng Liu
- Department of Breast Surgery, Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Zhiyao Ren
- Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Min Ren
- Department of Breast Surgery, Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
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Xue J, Wu H, Shi Y, Li Z. TRIP13 overexpression in hepatocellular carcinoma: implications for poor prognosis and immune cell infiltration. Discov Oncol 2023; 14:176. [PMID: 37740123 PMCID: PMC10516817 DOI: 10.1007/s12672-023-00792-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 09/18/2023] [Indexed: 09/24/2023] Open
Abstract
PURPOSE The overexpression of TRIP13 has been observed in many types of cancer and has been identified as an oncogene. However, its role in hepatocellular carcinoma (HCC) has not been extensively studied. This study aimed to investigate the expression of TRIP13 in HCC and its impact on immune cell infiltration and prognosis. METHODS We analyzed TCGA and GSE62232 datasets to assess TRIP13 expression in HCC. Kaplan-Meier and subgroup analysis were performed to examine the correlation between TRIP13 expression and HCC. Univariate and Cox regression analysis were conducted to determine the predictive value of TRIP13 in assessing patient outcomes. A nomogram was developed using TRIP13 mRNA expression to predict HCC prognosis. TRIP13 expression was validated using immunohistochemistry in our patient cohort. Survival and subgroup analyses were conducted to investigate the role of TRIP13 in HCC prognosis. RESULTS The results indicated that TRIP13 upregulation in HCC was a strong independent predictor of poor outcome, as determined by Kaplan-Meier and Cox regression analyses. A high AUC value of 0.982 from ROC curves suggested that TRIP13 upregulation could serve as a reliable diagnostic indicator for HCC. The immunohistochemical validation of TRIP13 expression in the patient cohort confirmed its prognostic significance, and high TRIP13 expression was found to be associated with increased infiltration of Th2 cells and decreased infiltration of neutrophils, Th17 cells, and dendritic cells. CONCLUSION These findings suggest that TRIP13 could be a potential prognostic biomarker for HCC.
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Affiliation(s)
- Jiapeng Xue
- Department of General Surgery, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Hongfen Wu
- Department of Gastroenterology, West China (Sanya) Hospital, Sichuan University, Sanya, China
| | - Yun Shi
- Department of General Surgery, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Zhi Li
- Department of General Surgery, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
- Interventional Cancer Institute of Chinese Integrative Medicine, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Hubei Provincial Clinical Research Center for Umbilical Cord Blood Hematopoietic Stem Cells, Taihe Hospital, Hubei University of Medicine, Shiyan, China
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14
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Li J, Zhang W, Ma X, Wei Y, Zhou F, Li J, Zhang C, Yang Z. Cuproptosis/ferroptosis-related gene signature is correlated with immune infiltration and predict the prognosis for patients with breast cancer. Front Pharmacol 2023; 14:1192434. [PMID: 37521466 PMCID: PMC10374203 DOI: 10.3389/fphar.2023.1192434] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 06/19/2023] [Indexed: 08/01/2023] Open
Abstract
Background: Breast invasive carcinoma (BRCA) is a malignant tumor with high morbidity and mortality, and the prognosis is still unsatisfactory. Both ferroptosis and cuproptosis are apoptosis-independent cell deaths caused by the imbalance of corresponding metal components in cells and can affect the proliferation rate of cancer cells. The aim in this study was to develop a prognostic model of cuproptosis/ferroptosis-related genes (CFRGs) to predict survival in BRCA patients. Methods: Transcriptomic and clinical data for breast cancer patients were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Cuproptosis and ferroptosis scores were determined for the BRCA samples from the TCGA cohort using Gene Set Variation Analysis (GSVA), followed by weighted gene coexpression network analysis (WGCNA) to screen out the CFRGs. The intersection of the differentially expressed genes grouped by high and low was determined using X-tile. Univariate Cox regression and least absolute shrinkage and selection operator (LASSO) were used in the TGCA cohort to identify the CFRG-related signature. In addition, the relationship between risk scores and immune infiltration levels was investigated using various algorithms, and model genes were analyzed in terms of single-cell sequencing. Finally, the expression of the signature genes was validated with quantitative real-time PCR (qRT‒PCR) and immunohistochemistry (IHC). Results: A total of 5 CFRGs (ANKRD52, HOXC10, KNOP1, SGPP1, TRIM45) were identified and were used to construct proportional hazards regression models. The high-risk groups in the training and validation sets had significantly worse survival rates. Tumor mutational burden (TMB) was positively correlated with the risk score. Conversely, Tumor Immune Dysfunction and Exclusion (TIDE) and tumor purity were inversely associated with risk scores. In addition, the infiltration degree of antitumor immune cells and the expression of immune checkpoints were lower in the high-risk group. In addition, risk scores and mTOR, Hif-1, ErbB, MAPK, PI3K/AKT, TGF-β and other pathway signals were correlated with progression. Conclusion: We can accurately predict the survival of patients through the constructed CFRG-related prognostic model. In addition, we can also predict patient immunotherapy and immune cell infiltration.
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Affiliation(s)
- Jixian Li
- Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
| | - Wentao Zhang
- Shandong Provincial Hospital, Shandong First Medical University, Jinan, Shandong, China
- Tumor Research and Therapy Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Xiaoqing Ma
- Radiotherapy and Minimally Invasive Group I, The Second Affiliated Hospital of Shandong First Medical University, Taian, Shandong, China
| | - Yanjun Wei
- Department of Radiation Oncology, Weifang People’s Hospital, Weifang, China
| | - Fengge Zhou
- Tumor Research and Therapy Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Jianan Li
- Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
| | - Chenggui Zhang
- Department of Orthopedics, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Zhe Yang
- Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
- Tumor Research and Therapy Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
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15
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Wang X, Lin J, Wang Z, Li Z, Wang M. Possible therapeutic targets for NLRP3 inflammasome-induced breast cancer. Discov Oncol 2023; 14:93. [PMID: 37300757 DOI: 10.1007/s12672-023-00701-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Accepted: 05/25/2023] [Indexed: 06/12/2023] Open
Abstract
Inflammation plays a major role in the development and progression of breast cancer(BC). Proliferation, invasion, angiogenesis, and metastasis are all linked to inflammation and tumorigenesis. Furthermore, tumor microenvironment (TME) inflammation-mediated cytokine releases play a critical role in these processes. By recruiting caspase-1 through an adaptor apoptosis-related spot protein, inflammatory caspases are activated by the triggering of pattern recognition receptors on the surface of immune cells. Toll-like receptors, NOD-like receptors, and melanoma-like receptors are not triggered. It activates the proinflammatory cytokines interleukin (IL)-1β and IL-18 and is involved in different biological processes that exert their effects. The Nod-Like Receptor Protein 3 (NLRP3) inflammasome regulates inflammation by mediating the secretion of proinflammatory cytokines and interacting with other cellular compartments through the inflammasome's central role in innate immunity. NLRP3 inflammasome activation mechanisms have received much attention in recent years. Inflammatory diseases including enteritis, tumors, gout, neurodegenerative diseases, diabetes, and obesity are associated with abnormal activation of the NLRP3 inflammasome. Different cancer diseases have been linked to NLRP3 and its role in tumorigenesis may be the opposite. Tumors can be suppressed by it, as has been seen primarily in the context of colorectal cancer associated with colitis. However, cancers such as gastric and skin can also be promoted by it. The inflammasome NLRP3 is associated with breast cancer, but there are few specific reviews. This review focuses on the structure, biological characteristics and mechanism of inflammasome, the relationship between NLRP3 in breast cancer Non-Coding RNAs, MicroRNAs and breast cancer microenvironment, especially the role of NLRP3 in triple-negative breast cancer (TNBC). And the potential strategies of using NLRP3 inflammasome to target breast cancer, such as NLRP3-based nanoparticle technology and gene target therapy, are reviewed.
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Affiliation(s)
- Xixi Wang
- Department of General Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, China
| | - Junyi Lin
- Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, 442000, China
- Hubei Key Laboratory of Wudang Local Chinese Medicine Research, Hubei University of Medicine, Shiyan, China
| | - Zhe Wang
- Department of General Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, China
| | - Zhi Li
- Department of General Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, China.
- Interventional Cancer Institute of Chinese Integrative Medicine, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200333, China.
- Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
| | - Minghua Wang
- Department of General Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, China.
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16
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Shi B, Zhang W, Wang T, Cui Z. The therapeutic and prognostic role of cuproptosis-related genes in triple negative breast cancer. BMC Bioinformatics 2023; 24:223. [PMID: 37259036 PMCID: PMC10234018 DOI: 10.1186/s12859-023-05348-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 05/23/2023] [Indexed: 06/02/2023] Open
Abstract
BACKGROUND This study aimed to observe the potential impact of known cuproptosis-related genes (CRGs) on triple negative breast cancer (TNBC) development, as well as their associated molecular mechanisms, immune infiltration mechanisms and potential therapeutic agents. RESULTS Based on the Cox Proportional Hazard Model, 11 CRGs may be especially important in TNBC development and progression (considered as the Key-TNBC-CRGs). The expression of several Key-TNBC-CRGs (e.g., ATP7A, PIK3CA, LIAS, and LIPT) are associated with common mutations. The SCNA variation of 11 Key-TNBC-CRGs are related to differences immune infiltration profiles. In particular, depletion of ATP7A, ATP7B, CLS, LIAS, and SCL31A1 and while high amplification of NLRP3 and LIPT2 are correlated with decreased immune infiltration. In our Cox proportional hazards regression model, there is a significant difference in the overall survival between high-risk and low-risk groups. The HR in the high-risk group is 3.891 versus the low-risk group. And this model has a satisfactory performance in Prediction of 5-15-year survival, in particular in the 10-year survival (AUC = 0.836). Finally, we discovered some potential drugs for TNBC treatment based on the strategy of targeting 11 Key-TNBC-CRGs, such as Dasatinib combined with ABT-737, Erastin or Methotrexate, and Docetaxel/Ispinesib combination. CONCLUSION In conclusion, CRGs may play important roles in TNBC development, and they can impact tumor immune microenvironment and patient survival. The Key-TNBC-CRGs interact mutually and can be influenced by common BC-related mutations. Additionally, we established a 11-gene risk model with a robust performance in prediction of 5-15-year survival. As well, some new drugs are proposed potentially effective in TNBC based on the CRG strategy.
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Affiliation(s)
- Bingye Shi
- Color Ultrasound Room, Affiliated Hospital of Hebei University, Baoding, Hebei, China
| | - Wei Zhang
- Medical Engineering Center, Affiliated Hospital of Hebei University, Baoding, Hebei, China
| | - Tao Wang
- Department of Integrated Traditional Chinese and Western Medicine, Affiliated Hospital of Hebei University, Baoding, Hebei, China
| | - Zhenyu Cui
- Department of Urology Surgery, Affiliated Hospital of Hebei University, Baoding, Hebei, China.
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Fan Y, Luo C, Wang Y, Wang Z, Wang C, Zhong X, Hu K, Wang Y, Lu D, Zheng H. A nomogram based on cuproptosis-related genes predicts 7-year relapse-free survival in patients with estrogen receptor-positive early breast cancer. Front Oncol 2023; 13:1111480. [PMID: 37251943 PMCID: PMC10213626 DOI: 10.3389/fonc.2023.1111480] [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: 12/07/2022] [Accepted: 04/28/2023] [Indexed: 05/31/2023] Open
Abstract
Introduction Excess copper induces cell death by binding to lipoylated components of the tricarboxylic acid cycle. Although a few studies have examined the relationship between cuproptosis-related genes (CRGs) and breast cancer prognosis, reports on estrogen receptor-positive (ER+) breast cancer are lacking. Herein, we aimed to analyze the relationship between CRGs and outcomes in patients with ER+ early breast cancer (EBC). Methods We conducted a case-control study among patients with ER+ EBC presenting poor and favorable invasive disease-free survival (iDFS) at West China Hospital. Logistic regression analysis was performed to establish the association between CRG expression and iDFS. A cohort study was performed using pooled data from three publicly available microarray datasets in the Gene Expression Omnibus database. Subsequently, we constructed a CRG score model and a nomogram to predict relapse-free survival (RFS). Finally, the prediction performance of the two models was verified using training and validation sets. Results In this case-control study, high expression of LIAS, LIPT1, and ATP7B and low CDKN2A expression were associated with favorable iDFS. In the cohort study, high expression of FDX1, LIAS, LIPT1, DLD, PDHB, and ATP7B and low CDKN2A expression were associated with favorable RFS. Using LASSO-Cox analysis, a CRG score was developed using the seven identified CRGs. Patients in the low CRG score group had a reduced risk of relapse in both training and validation sets. The nomogram included the CRG score, lymph node status, and age. The area under the receiver operating characteristic (ROC) curve (AUC) of the nomogram was significantly higher than the AUC of the CRG score at 7 years. Conclusions The CRG score, combined with other clinical features, could afford a practical long-term outcome predictor in patients with ER+ EBC.
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Affiliation(s)
- Yu Fan
- Breast Center and Multi-omics Laboratory of Breast Diseases, West China Hospital, Sichuan University, Chengdu, China
| | - Chuanxu Luo
- Breast Center and Multi-omics Laboratory of Breast Diseases, West China Hospital, Sichuan University, Chengdu, China
| | - Yu Wang
- Breast Center and Multi-omics Laboratory of Breast Diseases, West China Hospital, Sichuan University, Chengdu, China
| | - Zhu Wang
- Breast Center and Multi-omics Laboratory of Breast Diseases, West China Hospital, Sichuan University, Chengdu, China
| | - Chengshi Wang
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaorong Zhong
- Breast Center and Multi-omics Laboratory of Breast Diseases, West China Hospital, Sichuan University, Chengdu, China
| | - Kejia Hu
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yanping Wang
- Breast Center and Multi-omics Laboratory of Breast Diseases, West China Hospital, Sichuan University, Chengdu, China
| | - Donghao Lu
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Hong Zheng
- Breast Center and Multi-omics Laboratory of Breast Diseases, West China Hospital, Sichuan University, Chengdu, China
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18
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Xu B, Yang K, Han X, Hou J. Cuproptosis-related gene CDKN2A as a molecular target for IPF diagnosis and therapeutics. Inflamm Res 2023:10.1007/s00011-023-01739-7. [PMID: 37166466 DOI: 10.1007/s00011-023-01739-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 04/19/2023] [Accepted: 04/28/2023] [Indexed: 05/12/2023] Open
Abstract
BACKGROUND Idiopathic pulmonary fibrosis (IPF) is a progressive chronic interstitial lung disease with limited therapeutic options. Cuproptosis is a recently proposed novel form of programmed cell death, which has been strongly implicated in the development of various human diseases. However, the prognostic and therapeutic value of cuproptosis-related genes (CRGs) in IPF remains to be elucidated. METHODS In the present study, weighted gene co-expression network analysis (WGCNA) was employed to identify the key CRGs associated with the development of IPF. The subsequent GSEA, immune cell correlation analysis, and single-cell RNA-Seq analysis were conducted to explore the potential role of the identified CRGs in IPF. In addition, ROC curves and survival analysis were used to assess the prognostic value of the key CRGs in IPF. Moreover, we explored the molecular mechanisms of participation of identified key CRGs in the development of pulmonary fibrogenesis through in vivo and in vitro experiments. RESULTS The expression level of cyclin-dependent kinase inhibitor 2A (CDKN2A) is upregulated in the lung tissues of IPF patients and associated with disease severity. Notably, CDKN2A was constitutively expressed by fibrosis-promoting M2 macrophages. Decreased CDKN2A expression sensitizes M2 macrophages to elesclomol-induced cuproptosis in vitro. Inhibition of CDKN2A decreases the number of viable macrophages and attenuates bleomycin-induced pulmonary fibrosis in mice. CONCLUSION These findings indicate that CDKN2A mediates the resistance of fibrosis-promoting M2 macrophages to cuproptosis and promotes pulmonary fibrosis in mice. Our work provides fresh insights into CRGs in IPF with potential value for research in the pathogenesis, diagnosis, and a new therapy strategy for IPF.
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Affiliation(s)
- Baowen Xu
- Department of Biochemistry and Molecular Biology, School of Medicine and Holistic Integrative Medicine, Jiangsu Collaborative Innovation Canter of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Kaiyong Yang
- Department of Biochemistry and Molecular Biology, School of Medicine and Holistic Integrative Medicine, Jiangsu Collaborative Innovation Canter of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Xin Han
- Department of Biochemistry and Molecular Biology, School of Medicine and Holistic Integrative Medicine, Jiangsu Collaborative Innovation Canter of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Jiwei Hou
- Department of Biochemistry and Molecular Biology, School of Medicine and Holistic Integrative Medicine, Jiangsu Collaborative Innovation Canter of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
- Immunology and Reproduction Biology Laboratory and State Key Laboratory of Analytical Chemistry for Life Science, Medical School, Nanjing University, Nanjing, 210093, China.
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Zhang D, Lu W, Zhuo Z, Wang Y, Zhang W, Zhang M. Comprehensive analysis of a cuproptosis-related ceRNA network implicates a potential endocrine therapy resistance mechanism in ER-positive breast cancer. BMC Med Genomics 2023; 16:96. [PMID: 37143115 PMCID: PMC10161630 DOI: 10.1186/s12920-023-01511-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 04/07/2023] [Indexed: 05/06/2023] Open
Abstract
BACKGROUND While adjuvant endocrine therapy (ET) may decrease the mortality rate of estrogen receptor-positive (ER+) breast cancer (BC), the likelihood of relapse and metastasis due to ET resistance remains high. Cuproptosis is a recently discovered regulated cell death (RCD), whose role in tumors has yet to be elucidated. Thus, there is a need to study its specific regulatory mechanism in resistance to ET in BC, to identify novel therapeutic targets. METHODS The prognostic cuproptosis-related genes (CRGs) in ER+ BC were filtered by undergoing Cox regression and least absolute shrinkage and selection operator (LASSO) regression analyses in TCGA-BRCA, and a CRGs risk signature was constructed using the correlation coefficient. Immune infiltration analysis, immune function analysis, tumor microenvironment (TME) analysis, immune checkpoint analysis, immunotherapy response analysis, drug sensitivity analysis, and pathway activation analysis were carried out among the high- and low-risk groups in turn. The central CRG of cuproptosis in ER+ BC resistance to ET was acquired through the intersection of protein interaction network (PPI) analysis, genes differentially expressed (DEGs) between human BC cells LCC9 and MCF-7 (GSE159968), and CRGs with prognostic significance in TCGA-BRCA ER+ BC. The miRNAs upstream of the core CRGs were predicted based on the intersection of 4 databases, miRDB, RNA22, miRWalk, and RNAlnter. Candidate miRNAs consisted of the intersection of predicted miRNAs and miRNAs differentially expressed in the LCC9 and MCF-7 cell lines (GSE159979). Candidate lncRNAs were the intersection of the differential lncRNAs from the LCC9 and MCF-7 cell lines and the survival-related lncRNAs obtained from a univariate Cox regression analysis. Pearson's correlation analysis was performed between mRNA-miRNA, miRNA-lncRNA, and mRNA-lncRNA expression separately. RESULTS We constructed A risk signature of 4-CRGs to predict the prognosis of ER+ BC in TCGA-BRCA, a risk score = DLD*0.378 + DBT*0.201 + DLAT*0.380 + ATP7A*0.447 was used as the definition of the formula. There were significant differences between the high- and low-risk groups based on the risk score of 4-CRGs in aspects of immune infiltration, immune function, expression levels of immune checkpoint genes, and signaling pathways. DLD was determined to be the central CRG of cuproptosis in ER+ BC resistance to ET through the intersection of the PPI network analysis, DEGs between LCC9 and MCF-7 and 4-CRGs. Two miRNAs hsa-miR-370-3p and hsa-miR-432-5p were found taking DLD mRNA as a target, and the lncRNA C6orf99 has been hypothesized to be a competitive endogenous RNA that regulates DLD mRNA expression by sponging off hsa-miR-370-3p and hsa-miR-432-5p. CONCLUSION This study built a prognostic model based on genes related to cuproptosis in ER+ BC. We considered DLD to be the core gene associated with resistance to ET in ER+ BC via copper metabolism. The search for promising therapeutic targets led to the establishment of a cuproptosis-related ceRNA network C6orf99/hsa-miR-370-3p and hsa-miR-432-5p/DLD.
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Affiliation(s)
- Dongni Zhang
- Oncology Department, China Academy of Chinese Medical Sciences Guang'anmen Hospital, Beijing, China
| | - Wenping Lu
- Oncology Department, China Academy of Chinese Medical Sciences Guang'anmen Hospital, Beijing, China.
| | - Zhili Zhuo
- Oncology Department, China Academy of Chinese Medical Sciences Guang'anmen Hospital, Beijing, China
| | - Yanan Wang
- Oncology Department, China Academy of Chinese Medical Sciences Guang'anmen Hospital, Beijing, China
| | - Weixuan Zhang
- Oncology Department, China Academy of Chinese Medical Sciences Guang'anmen Hospital, Beijing, China
| | - Mengfan Zhang
- Oncology Department, China Academy of Chinese Medical Sciences Guang'anmen Hospital, Beijing, China
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Yuan W, Xiao JH, Zhang JS, Mao BL, Wang PZ, Wang BL. Identification of a cuproptosis and copper metabolism gene-related lncRNAs prognostic signature associated with clinical and immunological characteristics of hepatocellular carcinoma. Front Oncol 2023; 13:1153353. [PMID: 37056336 PMCID: PMC10086263 DOI: 10.3389/fonc.2023.1153353] [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: 01/29/2023] [Accepted: 03/10/2023] [Indexed: 03/30/2023] Open
Abstract
Background The relationship between cuproptosis and HCC is still in the exploratory stage. Long noncoding RNAs (lncRNAs) have recently been linked to the progression of hepatocellular carcinoma (HCC). However, the clinical significance of lncRNAs associated with cuproptosis remains unclear. Methods Based on The Cancer Genome Atlas (TCGA) liver hepatocellular carcinoma (LIHC) dataset, we identified characteristic prognostic lncRNAs by univariate, LASSO, and multifactorial regression analysis, and constructed a prognostic signature of cuproptosis-related lncRNAs in HCC. The role of lncRNAs were identified through CCK-8, clone formation in Huh-7 cells with high expression of FDX1. Prognostic potential of the characteristic lncRNAs was evaluated in each of the two cohorts created by randomly dividing the TCGA cohort into a training cohort and a test cohort in a 1:1 ratio. Immune profiles in defined subgroups of cuproptosis-related lncRNA features as well as drug sensitivity were analyzed. Results We constructed a multigene signature based on four characteristic prognostic lncRNAs (AL590705.3, LINC02870, KDM4A-AS1, MKLN1-AS). These four lncRNAs participated in the development of cuproptosis. HCC patients were classified into high-risk and low-risk groups based on the median value of the risk score. The receiver operating characteristic curve area under the curve values for 1-, 3-, and 5-year survival were 0.773, 0.728, and 0.647, respectively, for the training cohort, and 0.764, 0.671, and 0.662, respectively, for the test cohort. Univariate and multifactorial regression analyses indicated that this prognostic feature was an independent prognostic factor for HCC. Principal component analysis plots clearly distinguished between low- and high-risk patients in terms of their probability of survival. Furthermore, gene set enrichment analysis showed that a variety of processes associated with tumor proliferation and progression were enriched in the high-risk group compared with the low-risk group. Moreover, there were significant differences in the expression of immune cell subpopulations, immune checkpoint genes, and potential drug screening, which provided distinct therapeutic recommendations for individuals with various risks. Conclusions We constructed a novel cuproptosis-associated lncRNA signature with a significant predictive value for the prognosis of patients with HCC. Cuproptosis-associated lncRNAs are associated with the tumor immune microenvironment of HCC and even the efficacy of tumor immunotherapy.
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Affiliation(s)
- Wei Yuan
- Department of Hepatobiliary Surgery, Guangzhou Red Cross Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Jun-hao Xiao
- Department of Clinical medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Jian-song Zhang
- Department of Clinical medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Ben-liang Mao
- Department of Clinical medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Peng-zhen Wang
- Guangzhou Institute of Traumatic Surgery, Guangzhou Red Cross Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Bai-lin Wang
- Department of Hepatobiliary Surgery, Guangzhou Red Cross Hospital of Jinan University, Guangzhou, Guangdong, China
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21
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Yang C, Wang W, Li S, Qiao Z, Ma X, Yang M, Zhang J, Cao L, Yao S, Yang Z, Wang W. Identification of cuproptosis hub genes contributing to the immune microenvironment in ulcerative colitis using bioinformatic analysis and experimental verification. Front Immunol 2023; 14:1113385. [PMID: 36960059 PMCID: PMC10028083 DOI: 10.3389/fimmu.2023.1113385] [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: 12/01/2022] [Accepted: 02/20/2023] [Indexed: 03/09/2023] Open
Abstract
Instruction Ulcerative colitis (UC) can cause a variety of immune-mediated intestinal dysfunctions and is a significant model of inflammatory bowel disease (IBD). Colorectal cancer (CRC) mostly occurs in patients with ulcerative colitis. Cuproptosis is a type of procedural death that is associated with different types of diseases to various degrees. Methods We used a combination of bioinformatic prediction and experimental verification to study the correlation between copper poisoning and UC. We used the Gene Expression Omnibus database to obtain disease gene expression data and then identified relevant genes involved in various expression levels in normal and UC samples. The Kyoto Encyclopedia of Genes and Genomes pathway analysis was performed to cluster the genes that are highly responsible and find the central interaction in gene crosstalk. Notably, DLD, DLAT, and PDHA1 were present in high-scoring PPI networks. In addition, hub gene expression information in UC tissues was integrated to estimate the relationship between UC copper poisoning and the immune environment. Results In our study, the expression of DLD, DLAT, and PDHA1 in UC tissues was lower than that in normal tissues. The key genes associated with cuproptosis have therapeutic effects on immune infiltration. We verified the expression of DLD, DLAT, and PDHA1 using real-time quantitative polymerase chain reaction in mouse models of UC induced by DSS. Discussion Notably, this study clearly indicates that bioinformatic analysis performed to verify the experimental methods provides evidence that cuproptosis is associated with UC. This finding suggests that immune cell infiltration in UC patients is associated with cuproptosis. The key genes associated with cuproptosis can be helpful for discovering the molecular mechanism of UC, thus facilitating the improvement of UC treatment and preventing the associated CRC.
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Affiliation(s)
- Cejun Yang
- The Institute for Cell Transplantation and Gene Therapy, The Third Xiangya Hospital of Central South University, Changsha, China
- Department of Radiology, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Wendi Wang
- College of Life Science, Liaoning University, Shenyang, China
| | - Sang Li
- Department of Research, Engineering and Technology Research Center for Xenotransplantation of Human Province, Changsha, China
| | - Zhengkang Qiao
- College of Life Science, Liaoning University, Shenyang, China
| | - Xiaoqian Ma
- The Institute for Cell Transplantation and Gene Therapy, The Third Xiangya Hospital of Central South University, Changsha, China
- Department of Radiology, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Min Yang
- The Institute for Cell Transplantation and Gene Therapy, The Third Xiangya Hospital of Central South University, Changsha, China
- Department of Radiology, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Juan Zhang
- The Institute for Cell Transplantation and Gene Therapy, The Third Xiangya Hospital of Central South University, Changsha, China
- Department of Radiology, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Lu Cao
- The Institute for Cell Transplantation and Gene Therapy, The Third Xiangya Hospital of Central South University, Changsha, China
- Department of Radiology, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Shanhu Yao
- The Institute for Cell Transplantation and Gene Therapy, The Third Xiangya Hospital of Central South University, Changsha, China
- Department of Radiology, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Zhe Yang
- College of Life Science, Liaoning University, Shenyang, China
| | - Wei Wang
- The Institute for Cell Transplantation and Gene Therapy, The Third Xiangya Hospital of Central South University, Changsha, China
- Department of Radiology, The Third Xiangya Hospital of Central South University, Changsha, China
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22
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Xie J, Yang Y, Gao Y, He J. Cuproptosis: mechanisms and links with cancers. Mol Cancer 2023; 22:46. [PMID: 36882769 PMCID: PMC9990368 DOI: 10.1186/s12943-023-01732-y] [Citation(s) in RCA: 122] [Impact Index Per Article: 122.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 01/25/2023] [Indexed: 03/09/2023] Open
Abstract
Cuproptosis was a copper-dependent and unique kind of cell death that was separate from existing other forms of cell death. The last decade has witnessed a considerable increase in investigations of programmed cell death, and whether copper induced cell death was an independent form of cell death has long been argued until mechanism of cuproptosis has been revealed. After that, increasing number of researchers attempted to identify the relationship between cuproptosis and the process of cancer. Thus, in this review, we systematically detailed the systemic and cellular metabolic processes of copper and the copper-related tumor signaling pathways. Moreover, we not only focus on the discovery process of cuproptosis and its mechanism, but also outline the association between cuproptosis and cancers. Finally, we further highlight the possible therapeutic direction of employing copper ion ionophores with cuproptosis-inducing functions in combination with small molecule drugs for targeted therapy to treat specific cancers.
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Affiliation(s)
- Jiaming Xie
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.,State Key Laboratory of Molecular Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Yannan Yang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.,State Key Laboratory of Molecular Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Yibo Gao
- Central Laboratory & Shenzhen Key Laboratory of Epigenetics and Precision Medicine for Cancers, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China. .,Laboratory of Translational Medicine, National Cancer Center/National, Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 101399, China.
| | - Jie He
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. .,State Key Laboratory of Molecular Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. .,Laboratory of Translational Medicine, National Cancer Center/National, Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 101399, China.
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23
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Li D, Shi Z, Liu X, Jin S, Chen P, Zhang Y, Chen G, Fan X, Yang J, Lin H. Identification and development of a novel risk model based on cuproptosis-associated RNA methylation regulators for predicting prognosis and characterizing immune status in hepatocellular carcinoma. Hepatol Int 2023; 17:112-130. [PMID: 36598701 DOI: 10.1007/s12072-022-10460-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 11/12/2022] [Indexed: 01/05/2023]
Abstract
BACKGROUND Cuproptosis, a novel cell death caused by excess copper, is quite obscure in hepatocellular carcinoma (HCC) and needs more investigation. METHODS RNA-seq and clinical data of HCC patients TCGA database were analyzed to establish a predictive model through LASSO Cox regression analysis. External dataset ICGC was used for the verification. GSEA and CIBERSORT were applied to investigate the molecular mechanisms and immune microenvironment of HCC. Cuproptosis induced by elesclomol was confirmed via various in vitro experiments. The expression of prognostic genes was verified in HCC tissues using qRT-PCR analysis. RESULTS Initially, 18 cuproptosis-associated RNA methylation regulators (CARMRs) were selected for prognostic analysis. A nine-gene signature was created by applying the LASSO Cox regression method. Survival and ROC assays were carried out to validate the model using TCGA and ICGC database. Moreover, there exhibited obvious differences in drug sensitivity in terms of common drugs. A higher tumor mutation burden was shown in the high-risk group. Additionally, significant discrepancies were found between the two groups in metabolic pathways and RNA processing via GSEA analysis. Meanwhile, CIBERSORT analysis indicated different infiltrating levels of various immune cells between the two groups. Elesclomol treatment caused a unique form of programmed cell death accompanied by loss of lipoylated mitochondrial proteins and Fe-S cluster protein. The results of qRT-PCR indicated that most prognostic genes were differentially expressed in the HCC tissues. CONCLUSION Overall, our predictive signature displayed potential value in the prediction of overall survival of HCC patients and might provide valuable clues for personalized therapies.
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Affiliation(s)
- Duguang Li
- Department of General Surgery, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, 3 East Qingchun Rd, Hangzhou, 310016, People's Republic of China
| | - Zhaoqi Shi
- Department of General Surgery, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, 3 East Qingchun Rd, Hangzhou, 310016, People's Republic of China
| | - Xiaolong Liu
- Department of General Surgery, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, 3 East Qingchun Rd, Hangzhou, 310016, People's Republic of China
| | - Shengxi Jin
- Department of General Surgery, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, 3 East Qingchun Rd, Hangzhou, 310016, People's Republic of China
| | - Peng Chen
- Department of General Surgery, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, 3 East Qingchun Rd, Hangzhou, 310016, People's Republic of China
| | - Yiyin Zhang
- Department of General Surgery, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, 3 East Qingchun Rd, Hangzhou, 310016, People's Republic of China
| | - Guoqiao Chen
- Department of General Surgery, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, 3 East Qingchun Rd, Hangzhou, 310016, People's Republic of China
| | - Xiaoxiao Fan
- Department of General Surgery, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, 3 East Qingchun Rd, Hangzhou, 310016, People's Republic of China.
| | - Jing Yang
- Department of General Surgery, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, 3 East Qingchun Rd, Hangzhou, 310016, People's Republic of China.
| | - Hui Lin
- Department of General Surgery, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, 3 East Qingchun Rd, Hangzhou, 310016, People's Republic of China. .,Zhejiang Engineering Research Center of Cognitive Healthcare, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, People's Republic of China. .,College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, People's Republic of China.
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24
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Yang K, Wang X, Song C, He Z, Wang R, Xu Y, Jiang G, Wan Y, Mei J, Mao W. The role of lipid metabolic reprogramming in tumor microenvironment. Theranostics 2023; 13:1774-1808. [PMID: 37064872 PMCID: PMC10091885 DOI: 10.7150/thno.82920] [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: 01/25/2023] [Accepted: 03/07/2023] [Indexed: 04/18/2023] Open
Abstract
Metabolic reprogramming is one of the most important hallmarks of malignant tumors. Specifically, lipid metabolic reprogramming has marked impacts on cancer progression and therapeutic response by remodeling the tumor microenvironment (TME). In the past few decades, immunotherapy has revolutionized the treatment landscape for advanced cancers. Lipid metabolic reprogramming plays pivotal role in regulating the immune microenvironment and response to cancer immunotherapy. Here, we systematically reviewed the characteristics, mechanism, and role of lipid metabolic reprogramming in tumor and immune cells in the TME, appraised the effects of various cell death modes (specifically ferroptosis) on lipid metabolism, and summarized the antitumor therapies targeting lipid metabolism. Overall, lipid metabolic reprogramming has profound effects on cancer immunotherapy by regulating the immune microenvironment; therefore, targeting lipid metabolic reprogramming may lead to the development of innovative clinical applications including sensitizing immunotherapy.
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Affiliation(s)
- Kai Yang
- Department of Thoracic Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, 214023, China
- Department of Oncology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Xiaokun Wang
- Department of Thoracic Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, 214023, China
| | - Chenghu Song
- Department of Thoracic Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, 214023, China
| | - Zhao He
- Department of Thoracic Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, 214023, China
| | - Ruixin Wang
- Department of Thoracic Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, 214023, China
| | - Yongrui Xu
- Department of Thoracic Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, 214023, China
| | - Guanyu Jiang
- Department of Thoracic Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, 214023, China
| | - Yuan Wan
- The Pq Laboratory of BiomeDx/Rx, Department of Biomedical Engineering, Binghamton University, Binghamton 13850, USA
- ✉ Corresponding authors: Wenjun Mao, M.D., Department of Cardiothoracic Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No. 299 Qingyang Rd., Wuxi, 214023, China. E-mail: . Jie Mei, M.D., Department of Oncology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No. 299 Qingyang Rd., Wuxi, 214023, China. E-mail: . Yuan Wan, Ph.D., The Pq Laboratory of BiomeDx/Rx, Department of Biomedical Engineering, Binghamton University, No. 65 Murray Hill Rd., Binghamton, 13850, USA. E-mail:
| | - Jie Mei
- Department of Oncology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Nanjing, 210029, China
- ✉ Corresponding authors: Wenjun Mao, M.D., Department of Cardiothoracic Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No. 299 Qingyang Rd., Wuxi, 214023, China. E-mail: . Jie Mei, M.D., Department of Oncology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No. 299 Qingyang Rd., Wuxi, 214023, China. E-mail: . Yuan Wan, Ph.D., The Pq Laboratory of BiomeDx/Rx, Department of Biomedical Engineering, Binghamton University, No. 65 Murray Hill Rd., Binghamton, 13850, USA. E-mail:
| | - Wenjun Mao
- Department of Thoracic Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, 214023, China
- ✉ Corresponding authors: Wenjun Mao, M.D., Department of Cardiothoracic Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No. 299 Qingyang Rd., Wuxi, 214023, China. E-mail: . Jie Mei, M.D., Department of Oncology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No. 299 Qingyang Rd., Wuxi, 214023, China. E-mail: . Yuan Wan, Ph.D., The Pq Laboratory of BiomeDx/Rx, Department of Biomedical Engineering, Binghamton University, No. 65 Murray Hill Rd., Binghamton, 13850, USA. E-mail:
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25
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Hu J, Xue S, Xu Z, Wu Z, Xu X, Wang X, Liu G, Lu X, Li B, Liu X. Identification of core cuprotosis-correlated biomarkers in abdominal aortic aneurysm immune microenvironment based on bioinformatics. Front Immunol 2023; 14:1138126. [PMID: 37138870 PMCID: PMC10150024 DOI: 10.3389/fimmu.2023.1138126] [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: 01/05/2023] [Accepted: 03/30/2023] [Indexed: 05/05/2023] Open
Abstract
Background The occurrence of abdominal aortic aneurysms (AAAs) is related to the disorder of immune microenvironment. Cuprotosis was reported to influence the immune microenvironment. The objective of this study is to identify cuprotosis-related genes involved in the pathogenesis and progression of AAA. Methods Differentially expressed lncRNAs (DElncRNAs) and mRNAs (DEmRNAs) in mouse were identified following AAA through high-throughput RNA sequencing. The enrichment analyses of pathway were selected through Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG). The validation of cuprotosis-related genes was conducted through immunofluorescence and western blot analyses. Results Totally, 27616 lncRNAs and 2189 mRNAs were observed to be differentially expressed (|Fold Change| ≥ 2 and q< 0.05) after AAA, including 10424 up-regulated and 17192 down-regulated lncRNAs, 1904 up-regulated and 285 down-regulated mRNAs. Gene ontology and KEGG pathway analysis showed that the DElncRNAs and DEmRNAs were implicated in many different biological processes and pathways. Furthermore, Cuprotosis-related genes (NLRP3, FDX1) were upregulated in the AAA samples compared with the normal one. Conclusion Cuprotosis-related genes (NLRP3,FDX1) involved in AAA immune environment might be critical for providing new insight into identification of potential targets for AAA therapy.
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Affiliation(s)
- Jiateng Hu
- Department of Vascular Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Vascular Centre of Shanghai Jiao Tong University, Shanghai, China
| | - Song Xue
- Department of Orthopedics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhijue Xu
- Department of Vascular Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Vascular Centre of Shanghai Jiao Tong University, Shanghai, China
| | - Zhaoyu Wu
- Department of Vascular Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Vascular Centre of Shanghai Jiao Tong University, Shanghai, China
| | - Xintong Xu
- Department of Vascular Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Vascular Centre of Shanghai Jiao Tong University, Shanghai, China
| | - Xin Wang
- Department of Vascular Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Vascular Centre of Shanghai Jiao Tong University, Shanghai, China
| | - Guang Liu
- Department of Vascular Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Vascular Centre of Shanghai Jiao Tong University, Shanghai, China
| | - Xinwu Lu
- Department of Vascular Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Vascular Centre of Shanghai Jiao Tong University, Shanghai, China
- *Correspondence: Xinwu Lu, ; Bo Li, ; Xiaobing Liu,
| | - Bo Li
- Department of Vascular Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Vascular Centre of Shanghai Jiao Tong University, Shanghai, China
- *Correspondence: Xinwu Lu, ; Bo Li, ; Xiaobing Liu,
| | - Xiaobing Liu
- Department of Vascular Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Vascular Centre of Shanghai Jiao Tong University, Shanghai, China
- *Correspondence: Xinwu Lu, ; Bo Li, ; Xiaobing Liu,
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26
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Song J, Ren K, Zhang D, Lv X, Sun L, Deng Y, Zhu H. A novel signature combing cuproptosis- and ferroptosis-related genes in sepsis-induced cardiomyopathy. Front Genet 2023; 14:1170737. [PMID: 37035738 PMCID: PMC10076593 DOI: 10.3389/fgene.2023.1170737] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 03/14/2023] [Indexed: 04/11/2023] Open
Abstract
Objective: Cardiac dysfunction caused by sepsis, usually termed sepsis-induced cardiomyopathy (SIC), is one of the most serious complications of sepsis, and ferroptosis can play a key role in this disease. In this study, we identified key cuproptosis- and ferroptosis-related genes involved in SIC and further explored drug candidates for the treatment of SIC. Methods: The GSE79962 gene expression profile of SIC patients was downloaded from the Gene Expression Omnibus database (GEO). The data was used to identify differentially expressed genes (DEGs) and to perform weighted correlation network analysis (WGCNA). Furthermore, Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were conducted. Then, gene set enrichment analysis (GSEA) was applied to further analyze pathway regulation, with an adjusted p-value <0.05 and a false discovery rate (FDR) <0.25. Ferroptosis-related genes were obtained from the FerrDb V2 database, and cuproptosis-related genes were obtained from the literature. We constructed a novel signature (CRF) by combing cuproptosis-related genes with ferroptosis-related genes using the STRING website. The SIC hub genes were obtained by overlapping DEGs, WGCNA-based hub genes and CRF genes, and receiver operating characteristic (ROC) curve analysis was used to determine the diagnostic value of hub genes. A transcription factor-microRNA-hub gene network was also constructed based on the miRnet database. Finally, potential therapeutic compounds for SIC were predicted based on the Drug Gene Interaction Database. Results: We identified 173 DEGs in SIC patients. Four hub modules and 411 hub genes were identified by WGCNA. A total of 144 genes were found in the CRF. Then, POR, SLC7A5 and STAT3 were identified as intersecting hub genes and their diagnostic values were confirmed with ROC curves. Drug screening identified 15 candidates for SIC treatment. Conclusion: We revealed that the cuproptosis- and ferroptosis-related genes, POR, SLC7A5 and STAT3, were significantly correlated with SIC and we also predicted therapeutic drugs for these targets. The findings from this study will make contributions to the development of treatments for SIC.
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Affiliation(s)
- Juanjuan Song
- Department of Emergency, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Kairui Ren
- Department of Emergency, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing, China
| | - Dexin Zhang
- Department of Emergency, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Xinpeng Lv
- Department of Emergency, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Lin Sun
- Department of Emergency, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Ying Deng
- Department of Emergency, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
- *Correspondence: Ying Deng, ; Huadong Zhu,
| | - Huadong Zhu
- Department of Emergency, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing, China
- *Correspondence: Ying Deng, ; Huadong Zhu,
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Cuproptosis-Related MiR-21-5p/FDX1 Axis in Clear Cell Renal Cell Carcinoma and Its Potential Impact on Tumor Microenvironment. Cells 2022; 12:cells12010173. [PMID: 36611966 PMCID: PMC9818076 DOI: 10.3390/cells12010173] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 12/19/2022] [Accepted: 12/28/2022] [Indexed: 01/04/2023] Open
Abstract
As a newly identified type of programmed cell death, cuproptosis may have an impact on cancer development, including clear cell renal cell carcinoma (ccRCC). Herein, we first noticed that the expression levels of cuproptosis regulators exhibited a tight correlation with the clinicopathological characteristics of ccRCC. The cuproptosis-sensitive sub-type (CSS), classified via consensus clustering analysis, harbored a higher overall survival rate compared to the cuproptosis-resistant sub-type (CRS), which may have resulted from the differential infiltration of immune cells. FDX1, the cuproptosis master regulator, was experimentally determined as a tumor suppressor in ccRCC cells by suppressing the cell growth and cell invasion of ACHN and OSRC-2 cells in a cuproptosis-dependent and -independent manner. The results from IHC staining also demonstrated that FDX1 expression was negatively correlated with ccRCC tumor initiation and progression. Furthermore, we identified the miR-21-5p/FDX1 axis in ccRCC and experimentally verified that miR-21-5p directly binds the 3'-UTR of FDX1 to mediate its degradation. Consequently, a miR-21-5p inhibitor suppressed the cell growth and cell invasion of ACHN and OSRC-2 cells, which could be compensated by FDX1 knockdown, reinforcing the functional linkage between miR-21-5p and FDX1 in ccRCC. Finally, we evaluated the ccRCC tumor microenvironment under the miR-21-5p/FDX1 axis and noted that this axis was strongly associated with the infiltration of immune cells such as CD4+ T cells, Treg cells, and macrophages, suggesting that this signaling axis may alter microenvironmental components to drive ccRCC progression. Overall, this study constructed the miR-21-5p/FDX1 axis in ccRCC and analyzed its potential impact on the tumor microenvironment, providing valuable insights to improve current ccRCC management.
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Li Z, Shi Y, Wu L, Zhang H, Xue J, Li W, Wang X, Zhang L, Wang Q, Duo L, Wang M, Wang G. Establishment and verification of a nomogram to predict tumor-specific mortality risk in triple-negative breast cancer: a competing risk model based on the SEER cohort study. Gland Surg 2022; 11:1961-1975. [PMID: 36654948 PMCID: PMC9840986 DOI: 10.21037/gs-22-650] [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: 10/25/2022] [Accepted: 12/12/2022] [Indexed: 12/24/2022]
Abstract
Background Triple-negative breast cancer (TNBC) is the subtype of breast cancer with the worst prognosis, and traditional survival analysis methods are biased when predicting mortality. To predict the risk of death in patients with triple-negative breast cancer more precisely, a competing risk model was developed. Methods The clinicopathological data of the TNBC patients from 2010 to 2015 were collected from the Surveillance, Epidemiology, and End Results (SEER) database. The data were assigned into a training set and testing set at a ratio of 7:3 in a randomized pattern. Univariate and multivariate competing risk models were applied to find the independent prognostic factors. A prediction nomogram for cancer-specific mortality (CSM) risk was constructed. The accuracy and discrimination of the nomogram were assessed using receiver operating characteristic (ROC) area under the curve (AUC), concordance index (C-index), and a calibration curve using the training and testing sets, respectively. Results A total of 28,430 TNBC patients were randomly grouped into the training set (n=19,900) and the testing set (n=8,530). The median time for follow-up was 59 [1-107] months. A total of 7,014 (24.67%) patients died, among whom 4,801 (68.45%) died from breast cancer and 2,213 (31.55%) due to non-breast cancer events. The independent risk factors were primary site of tumor, grade, tumor-node-metastasis (TNM) stage, T stage, approach of surgery, chemotherapy, axillary lymph node metastases, brain metastases, and liver metastases. The prediction nomogram was constructed by using the aforementioned variables. The 1-, 3-, and 5-year AUC of CSM were predicted to be 0.856, 0.81, and 0.782, respectively, in the training set, and 0.856, 0.81, and 0.782 in the testing set, respectively. The C-index of the nomogram was 0.801 and 0.799 in the training and testing sets, respectively. As confirmed by the validation and training calibration curves, the nomogram was consistent with the results. Conclusions We used competing risk models to identify risk factors for CSM and constructed a CSM risk prediction nomogram for TNBC patients, that may be utilized to predict CSM risk in TNBC patients clinically and assist in the creation of individualised clinical treatment options.
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Affiliation(s)
- Zhi Li
- Department of General Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China;,Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China;,Hubei Key Laboratory of Embryonic Stem Cell Research, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yun Shi
- Department of General Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Lihua Wu
- Department of General Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Hua Zhang
- Department of General Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Jiapeng Xue
- Department of General Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Wenfang Li
- Department of General Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Xixi Wang
- Department of General Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Ligen Zhang
- Department of General Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Qun Wang
- Department of General Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Long Duo
- Department of Oncology, Renmin Hospital, Hubei University of Medicine, Shiyan, China
| | - Minghua Wang
- Department of General Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Geng Wang
- Department of General Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China
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29
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Wang L, Yao B, Yang J, Tian Z, He J. Construction of a novel cuproptosis-related gene signature for predicting prognosis and estimating tumor immune microenvironment status in papillary thyroid carcinoma. BMC Cancer 2022; 22:1131. [PMID: 36333684 PMCID: PMC9635208 DOI: 10.1186/s12885-022-10175-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 10/10/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Cuproptosis, a new form of programmed cell death, has been recently reported to be closely related to tumor progression. However, the significance of cuproptosis-related genes (CRGs) in papillary thyroid carcinoma (PTC) is still unclear. Therefore, this study aimed to investigate the role of the CRG signature in prognosis prediction and immunotherapeutic effect estimation in patients with PTC. METHODS RNA-seq data and the corresponding clinical information of patients with PTC were obtained from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Comprehensive analyses, namely, consensus clustering, immune analyses, functional enrichment, least absolute shrinkage and selection operator-multivariate Cox regression, and nomogram analysis, were performed to identify new molecular subgroups, determine the tumor immune microenvironment (TIME) status of the identified subgroups, and construct a clinical model. Independent verification cohort data and quantitative real-time polymerase chain reaction (qPCR) was performed to validate the expression of specific prognosis-related and differentially expressed CRGs (P-DECRGs). RESULTS In the TCGA database, 476 patients with PTC who had complete clinical and follow-up information were included. Among 135 CRGs, 21 were identified as P-DECRGs. Two molecular subgroups with significantly different disease-free survival and TIME statuses were identified based on these 21 P-DECRGs. The differentially expressed genes between the two subgroups were mainly associated with immune regulation. The risk model and nomogram were constructed based on four specific P-DECRGs and validated as accurate prognostic predictions and TIME status estimation for PTC by TCGA and GEO verification cohorts. Finally, the qPCR results of 20 PTC and paracancerous thyroid tissues validated those in the TCGA database. CONCLUSIONS Four specific P-DECRGs in PTC were identified, and a clinical model based on them was established, which may be helpful for individualized immunotherapeutic strategies and prognostic prediction in patients with PTC.
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Affiliation(s)
- Lidong Wang
- grid.412467.20000 0004 1806 3501Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province China
| | - Baiyu Yao
- grid.412467.20000 0004 1806 3501Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province China
| | - Jiapeng Yang
- grid.412467.20000 0004 1806 3501Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province China
| | - Zhong Tian
- grid.412467.20000 0004 1806 3501Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province China
| | - Jingni He
- Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, China.
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