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Li L, Zhou H, Zhang C. Cuproptosis in cancer: biological implications and therapeutic opportunities. Cell Mol Biol Lett 2024; 29:91. [PMID: 38918694 PMCID: PMC11201306 DOI: 10.1186/s11658-024-00608-3] [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: 03/13/2024] [Accepted: 06/12/2024] [Indexed: 06/27/2024] Open
Abstract
Cuproptosis, a newly identified copper (Cu)-dependent form of cell death, stands out due to its distinct mechanism that sets it apart from other known cell death pathways. The molecular underpinnings of cuproptosis involve the binding of Cu to lipoylated enzymes in the tricarboxylic acid cycle. This interaction triggers enzyme aggregation and proteotoxic stress, culminating in cell death. The specific mechanism of cuproptosis has yet to be fully elucidated. This newly recognized form of cell death has sparked numerous investigations into its role in tumorigenesis and cancer therapy. In this review, we summarized the current knowledge on Cu metabolism and its link to cancer. Furthermore, we delineated the molecular mechanisms of cuproptosis and summarized the roles of cuproptosis-related genes in cancer. Finally, we offered a comprehensive discussion of the most recent advancements in Cu ionophores and nanoparticle delivery systems that utilize cuproptosis as a cutting-edge strategy for cancer treatment.
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Affiliation(s)
- Liping Li
- Department of Pharmacy, Chengdu Fifth People's Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, People's Republic of China
| | - Houfeng Zhou
- Department of Pharmacy, Chengdu Fifth People's Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, People's Republic of China
| | - Chenliang Zhang
- Division of Abdominal Cancer, Department of Medical Oncology, Cancer Center and Laboratory of Molecular Targeted Therapy in Oncology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, People's Republic of China.
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Abdullah K, Kaushal JB, Takkar S, Sharma G, Alsafwani ZW, Pothuraju R, Batra SK, Siddiqui JA. Copper metabolism and cuproptosis in human malignancies: Unraveling the complex interplay for therapeutic insights. Heliyon 2024; 10:e27496. [PMID: 38486750 PMCID: PMC10938126 DOI: 10.1016/j.heliyon.2024.e27496] [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: 09/19/2023] [Revised: 02/28/2024] [Accepted: 02/29/2024] [Indexed: 03/17/2024] Open
Abstract
Copper, a vital trace element, orchestrates diverse cellular processes ranging from energy production to antioxidant defense and angiogenesis. Copper metabolism and cuproptosis are closely linked in the context of human diseases, with a particular focus on cancer. Cuproptosis refers to a specific type of copper-mediated cell death or copper toxicity triggered by disruptions in copper metabolism within the cells. This phenomenon encompasses a spectrum of mechanisms, such as oxidative stress, mitochondrial dysfunction, endoplasmic reticulum stress, and perturbations in metal ion equilibrium. Mechanistically, cuproptosis is driven by copper binding to the lipoylated enzymes within the tricarboxylic acid (TCA) cycle. This interaction participates in protein aggregation and proteotoxic stress, ultimately culminating in cell death. Targeting copper metabolism and its associated pathways in cancer cells hold therapeutic potential by selectively targeting and eliminating cancerous cells. Strategies to modulate copper levels, enhance copper excretion, or interfere with cuproptotic pathways are being explored to identify novel therapeutic targets for cancer therapy and improve patient outcomes. Understanding the relationship between cuproptosis and copper metabolism in human malignancies remains an active area of research. This review provides a comprehensive overview of the association among copper metabolism, copper homeostasis, and carcinogenesis, explicitly emphasizing the cuproptosis mechanism and its implications for cancer pathogenesis. Additionally, we emphasize the therapeutic aspects of targeting copper and cuproptosis for cancer treatment.
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Affiliation(s)
- K.M. Abdullah
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68198, USA
| | - Jyoti B. Kaushal
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68198, USA
| | - Simran Takkar
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68198, USA
| | - Gunjan Sharma
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68198, USA
| | - Zahraa W. Alsafwani
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68198, USA
| | - Ramesh Pothuraju
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68198, USA
- Cancer Research Program, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, 695014, Kerala, India
| | - Surinder Kumar Batra
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68198, USA
- Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE, 68198, USA
- Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE, 68198, USA
| | - Jawed Akhtar Siddiqui
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68198, USA
- Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE, 68198, USA
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Li X, Wang J, Guo Z, Ma Y, Xu D, Fan D, Dai P, Chen Y, Liu Q, Jiao J, Fan J, Wu N, Li X, Li G. Copper metabolism-related risk score identifies hepatocellular carcinoma subtypes and SLC27A5 as a potential regulator of cuproptosis. Aging (Albany NY) 2023; 15:15084-15113. [PMID: 38157255 PMCID: PMC10781498 DOI: 10.18632/aging.205334] [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: 05/24/2023] [Accepted: 11/10/2023] [Indexed: 01/03/2024]
Abstract
AIMS Dysregulated copper metabolism has been noticed in many types of cancer including hepatocellular carcinoma (HCC); however, a comprehensive understanding about this dysregulation still remains unclear in HCC. METHODS A set of bioinformatic tools was integrated to analyze the expression and prognostic significance of copper metabolism-related genes. A related risk score, termed as CMscore, was developed via univariate Cox regression, least absolute shrinkage and selection operator (LASSO) Cox regression and multivariate Cox regression. Pathway enrichment analyses and tumor immune cell infiltration were further investigated in CMscore stratified HCC patients. Weighted correlation network analysis (WGCNA) was used to identify potential regulator of cuproptosis. RESULTS Copper metabolism was dysregulated in HCC. HCC patients in the high-CMscore group showed a significantly lower overall survival (OS) and enriched in most cancer-related pathways. Besides, HCC patients with high CMscore had higher expression of pro-tumor immune infiltrates and immune checkpoints. Moreover, cancer patients with high CMscore from two large cohorts exhibited significantly prolonged survival time after immunotherapy. WGCNA and subsequently correlation analysis revealed that SLC27A5 might be a potential regulator of cuproptosis in HCC. In vitro experiments revealed that SLC27A5 inhibited cell proliferation and migration of HCC cells and could upregulate FDX1, the key regulator of cuproptosis. SIGNIFICANCE The CMscore is helpful in clustering HCC patients with distinct prognosis, gene mutation signatures, and sensitivity to immunotherapy. SLC27A5 might serve as a potential target in the induction of cuproptosis in HCC.
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Affiliation(s)
- Xiaoyan Li
- Department of Blood Transfusion, Shanxi Provincial People’s Hospital, Affiliate of Shanxi Medical University, Taiyuan, Shanxi, China
- Department of Central Laboratory, Shanxi Provincial People's Hospital, Affiliate of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Jinping Wang
- Department of Ultrasound, Shanxi Provincial People's Hospital, Affiliate of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Zongliang Guo
- Department of General Surgery, Shanxi Province Cancer Hospital, Affiliated of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Yong Ma
- Department of Thoracic Surgery, Shanxi Province Cancer Hospital, Affiliated of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Dawei Xu
- Department of Blood Transfusion, Shanxi Provincial People’s Hospital, Affiliate of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Daguang Fan
- Department of Hepatobiliary and Pancreatic Surgery, Shanxi Provincial People's Hospital, Affiliate of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Peng Dai
- Department of Hepatobiliary and Pancreatic Surgery, Shanxi Provincial People's Hospital, Affiliate of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Yifan Chen
- College of Management, Zhejiang Shuren University, Hangzhou, Zhejiang, China
| | - Qiongwen Liu
- College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, Henan, China
| | - Jinke Jiao
- College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, Henan, China
| | - Jinhan Fan
- College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, Henan, China
| | - Ningxue Wu
- College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, Henan, China
| | - Xin Li
- Department of Geriatric Medicine, Shanxi Provincial People's Hospital, Affiliate of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Guoyin Li
- College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, Henan, China
- MOE Key Laboratory of Modern Teaching Technology, Center for Teacher Professional Ability Development, Shaanxi Normal University, Xi’an, Shannxi, China
- Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan, China
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Sun H, Wang H, Wang Y, Zhong W, Meng Y, Lv Z, Guo W, Han B. Adjuvant transarterial chemoembolization timing after radical resection is an independent prognostic factor for patients with hepatocellular carcinoma. Front Oncol 2023; 13:1129065. [PMID: 36969018 PMCID: PMC10034130 DOI: 10.3389/fonc.2023.1129065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 02/22/2023] [Indexed: 03/11/2023] Open
Abstract
BackgroundIt has been reported that postoperative adjuvant TACE (PA-TACE) treatment decreases recurrence and significantly improves the survival of patients who undergo radical resection of hepatocellular carcinoma (HCC) with high-risk recurrence factors. However, when to perform PA-TACE has not been fully studied.MethodsWe retrospectively collected the clinicopathologic characteristics of the patients with HCC between October 2013 and June 2020. The optimal cutoff value for PA-TACE time was determined based on the R package “maxstat”. Logistic regression and Cox regression analysis were used to determine the effect of the choice of PA-TACE timing on prognosis.ResultsThe analysis was performed on 789 patients with HCC, and 484 patients were finally involved and were divided into training cohort (378) and validation cohort (106). The PA-TACE timing was found to be associated with survival outcomes. Multivariate logistic analysis found independent predictors of the PA-TACE timing, including gender and history of HBV. Multivariate Cox analysis showed that Ki-67, tumor size, MVI and the PA-TACE timing were independent prognostic factors for RFS in HCC patients.ConclusionsBased on this study, HCC patients with high-risk recurrence factors can receive personalized assistance in undergoing PA-TACE treatment and improve their survival outcomes.
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Affiliation(s)
- Hongfa Sun
- Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Hanlin Wang
- Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Youpeng Wang
- Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Wenqing Zhong
- Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Yushan Meng
- Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Ziqiang Lv
- Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Weidong Guo
- Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
- *Correspondence: Bing Han, ; Weidong Guo,
| | - Bing Han
- Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
- *Correspondence: Bing Han, ; Weidong Guo,
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Yin M, Guan S, Ding X, Zhuang R, Sun Z, Wang T, Zheng J, Li L, Gao X, Wei H, Ma J, Huang Q, Xiao J, Mo W. Construction and validation of a novel web-based nomogram for patients with lung cancer with bone metastasis: A real-world analysis based on the SEER database. Front Oncol 2022; 12:1075217. [PMID: 36568214 PMCID: PMC9780685 DOI: 10.3389/fonc.2022.1075217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 11/15/2022] [Indexed: 12/13/2022] Open
Abstract
Purpose Patients with lung cancer with bone metastasis (LCBM) often have a very poor prognosis. The purpose of this study is to characterize the prevalence and associated factors and to develop a prognostic nomogram to predict the overall survival (OS) and cancer-specific survival (CSS) for patients with LCBM using multicenter population-based data. Methods Patients with LCBM at the time of diagnosis were identified using the Surveillance, Epidemiology, and End Results (SEER) Program database of the National Cancer Institute (NCI) from 2010 to 2015. Multivariable and univariate logistic regression analyses were performed to identify factors associated with all-cause mortality and lung cancer (LC)-specific mortality. The performance of the nomograms was evaluated with the calibration curves, area under the curve (AUC), and decision curve analysis (DCA). Kaplan-Meier analysis and log-rank tests were used to estimate the survival times of patients with LCBM. Results We finally identified 26,367 patients with LCBM who were selected for survival analysis. Multivariate analysis demonstrated age, sex, T stage, N stage, grade, histology, radiation therapy, chemotherapy, primary site, primary surgery, liver metastasis, and brain metastasis as independent predictors for LCBM. The AUC values of the nomogram for the OS prediction were 0.755, 0.746, and 0.775 in the training cohort; 0.757, 0.763, and 0.765 in the internal validation cohort; and 0.769, 0.781, and 0.867 in the external validation cohort. For CSS, the values were 0.753, 0.753, and 0.757 in the training cohort; 0.753, 0.753, and 0.757 in the internal validation cohort; and 0.767, 0.774, and 0.872 in the external validation cohort. Conclusions Our study constructs a new prognostic model and clearly presents the clinicopathological features and survival analysis of patients with LCBM. The result indicated that the nomograms had favorable discrimination, good consistency, and clinical benefits in patients. In addition, our constructed nomogram prediction models may assist physicians in evaluating individualized prognosis and deciding on treatment for patients.
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Affiliation(s)
- Mengchen Yin
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China,Changzheng Hospital, Second Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Sisi Guan
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xing Ding
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Ruoyu Zhuang
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Zhengwang Sun
- Department of Musculoskeletal Surgery, Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Tao Wang
- Department of Orthopaedics, The Second Hospital of Anhui Medical University, Anhui, China
| | - Jiale Zheng
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Lin Li
- Changzheng Hospital, Second Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Xin Gao
- Changzheng Hospital, Second Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Haifeng Wei
- Changzheng Hospital, Second Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Junming Ma
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Quan Huang
- Changzheng Hospital, Second Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Jianru Xiao
- Changzheng Hospital, Second Affiliated Hospital of Naval Medical University, Shanghai, China,*Correspondence: Jianru Xiao, ; Wen Mo,
| | - Wen Mo
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China,*Correspondence: Jianru Xiao, ; Wen Mo,
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Li Z, Zhang H, Wang X, Wang Q, Xue J, Shi Y, Wang M, Wang G, Zhang J. Identification of cuproptosis-related subtypes, characterization of tumor microenvironment infiltration, and development of a prognosis model in breast cancer. Front Immunol 2022; 13:996836. [PMID: 36059516 PMCID: PMC9437337 DOI: 10.3389/fimmu.2022.996836] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 08/02/2022] [Indexed: 01/10/2023] Open
Abstract
Breast cancer (BC) is now the most frequent and lethal cancer among women. Cuproptosis is a newly identified programmed cell death process that has been connected to tumor therapeutic sensitivity, patient outcomes, and the genesis of cancer. Cuproptosis-related genes (CRGs) are involved in breast cancer, although their roles and potential mechanisms are still unclear. First, we examined the effect of gene mutations and copy number changes on overall survival in 1168 breast cancer samples. Breast cancer patients were split into two molecular categories as determined by the variation in CRG based on clinicopathological traits, overall survival, and cell-infiltrating traits in tumor microenvironments. In addition, we created and validated a CRG score to calculate breast cancer patients' OS. Finally, we created a comprehensive nomogram for the clinical use of the CRG score. Patients whose CRG scores were low showed increased odds of developing OS, a larger mutation load, and immunological activation than those with high CRG scores. The CRG score, the cancer stem cell index, and the responsiveness to chemotherapy or targeted therapies were also shown to be statistically significantly correlated. Our thorough examination of CRGs in breast cancer patients demonstrated that they may be useful predictors of prognosis, clinical characteristics, and tumor microenvironment. These findings provide fresh insight into CRGs in breast cancer and might inspire brand-new approaches to both diagnosing and treating patients there.
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Affiliation(s)
- Zhi Li
- Department of General Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China,Hubei Key Laboratory of Embryonic Stem Cell Research, Taihe Hospital, Hubei University of Medicine, Shiyan, China,*Correspondence: Jianquan Zhang, ; Zhi Li,
| | - Hua Zhang
- 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
| | - Qun Wang
- 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
| | - Yun Shi
- Department of General Surgery, Taihe 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
| | - Jianquan Zhang
- Department of General Surgery, Affiliated Haikou Hospital of Xiangya Medical College, Central South Univesity, Haikou, China,*Correspondence: Jianquan Zhang, ; Zhi Li,
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Sha S, Si L, Wu X, Chen Y, Xiong H, Xu Y, Liu W, Mei H, Wang T, Li M. Prognostic analysis of cuproptosis-related gene in triple-negative breast cancer. Front Immunol 2022; 13:922780. [PMID: 35979353 PMCID: PMC9376234 DOI: 10.3389/fimmu.2022.922780] [Citation(s) in RCA: 60] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 07/06/2022] [Indexed: 12/14/2022] Open
Abstract
Background Cuproptosis is a copper-dependent cell death mechanism that is associated with tumor progression, prognosis, and immune response. However, the potential role of cuproptosis-related genes (CRGs) in the tumor microenvironment (TME) of triple-negative breast cancer (TNBC) remains unclear. Patients and methods In total, 346 TNBC samples were collected from The Cancer Genome Atlas database and three Gene Expression Omnibus datasets, and were classified using R software packages. The relationships between the different subgroups and clinical pathological characteristics, immune infiltration characteristics, and mutation status of the TME were examined. Finally, a nomogram and calibration curve were constructed to predict patient survival probability to improve the clinical applicability of the CRG_score. Results We identified two CRG clusters with immune cell infiltration characteristics highly consistent with those of the immune-inflamed and immune-desert clusters. Furthermore, we demonstrated that the gene signature can be used to evaluate tumor immune cell infiltration, clinical features, and prognostic status. Low CRG_scores were characterized by high tumor mutation burden and immune activation, good survival probability, and more immunoreactivity to CTLA4, while high CRG_scores were characterized by the activation of stromal pathways and immunosuppression. Conclusion This study revealed the potential effects of CRGs on the TME, clinicopathological features, and prognosis of TNBC. The CRGs were closely associated with the tumor immunity of TNBC and are a potential tool for predicting patient prognosis. Our data provide new directions for the development of novel drugs in the future.
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Affiliation(s)
- Shengnan Sha
- Department of Oncology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China
| | - Luyi Si
- Department of General Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China
| | - Xinrui Wu
- Department of Clinical Medicine, Medical School of Nantong University, Nantong, China
| | - Yuanbiao Chen
- Department of Neurosurgery, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
| | - Hui Xiong
- Department of Cardiothoracic Surgery, Affiliated Hospital of Nantong, University, Medical School of Nantong University, Nantong, China
| | - Ying Xu
- Department of Rehabilitation Medicine, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China
| | - Wangrui Liu
- Department of Neurosurgery, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China,Department of Interventional Oncology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China,*Correspondence: Mei Li, ; Tao Wang, ; Haijun Mei, ; Wangrui Liu,
| | - Haijun Mei
- Department of General Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China,*Correspondence: Mei Li, ; Tao Wang, ; Haijun Mei, ; Wangrui Liu,
| | - Tao Wang
- Department of Interventional Oncology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China,*Correspondence: Mei Li, ; Tao Wang, ; Haijun Mei, ; Wangrui Liu,
| | - Mei Li
- Department of Oncology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China,*Correspondence: Mei Li, ; Tao Wang, ; Haijun Mei, ; Wangrui Liu,
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Wan J, Chen S, Zhang A, Liu Y, Zhang Y, Li Q, Yu Z, Wan Y, Yang L, Wang Q. Development and Validation of a Four Adenosine-to-Inosine RNA Editing Site-Relevant Prognostic Signature for Assessing Survival in Breast Cancer Patients. Front Oncol 2022; 12:861439. [PMID: 35494026 PMCID: PMC9039306 DOI: 10.3389/fonc.2022.861439] [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: 01/24/2022] [Accepted: 03/14/2022] [Indexed: 11/25/2022] Open
Abstract
Background Adenosine-to-inosine RNA editing (ATIRE) is increasingly being used to characterize cancer. However, no studies have been conducted to identify an ATIRE signature for predicting cancer survival. Methods Breast cancer (BRCA) samples with ATIRE profiles from The Cancer Genome Atlas were divided into training (n = 452) and internal validation cohorts (n = 311), and 197 additional BRCA patients were recruited as an external validation cohort. The ATIRE signature for BRCA overall survival (OS) and disease-free survival (DFS) were identified using forest algorithm analysis and experimentally verified by direct sequencing. An ATIRE-based risk score (AIRS) was established with these selected ATIRE sites. Significantly prognostic factors were incorporated to generate a nomogram that was evaluated using Harrell’s C-index and calibration plot for all cohorts. Results Seven ATIRE sites were revealed to be associated with both BRCA OS and DFS, of which four sites were experimentally confirmed. Patients with high AIRS displayed a higher risk of death than those with low AIRS in the training (hazard ratio (HR) = 3.142, 95%CI = 1.932–5.111), internal validation (HR = 2.097, 95%CI = 1.123–3.914), and external validation cohorts (HR = 2.680, 95%CI = 1.000–7.194). A similar hazard effect of high AIRS on DFS was also observed. The nomogram yielded Harrell’s C-indexes of 0.816 (95%CI = 0.784–0.847), 0.742 (95%CI = 0.684–0.799), and 0.869 (95%CI = 0.835–0.902) for predicting OS and 0.767 (95%CI = 0.708–0.826), 0.684 (95%CI = 0.605–0.763), and 0.635 (95%CI = 0.566–0.705) for predicting DFS in the three cohorts. Conclusion AIRS nomogram could help to predict OS and DFS of patients with BRCA.
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Affiliation(s)
- Jian Wan
- The First Affiliated Hospital, Jinan University, Guangzhou, China.,Breast Disease Center, Guangdong Women and Children Hospital, Guangzhou, China
| | - Shizhen Chen
- The State Key Lab of Respiratory Disease, Institute of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Anqin Zhang
- Breast Disease Center, Guangdong Women and Children Hospital, Guangzhou, China
| | - Yiting Liu
- Breast Disease Center, Guangdong Women and Children Hospital, Guangzhou, China
| | - Yangyang Zhang
- Breast Disease Center, Guangdong Women and Children Hospital, Guangzhou, China
| | - Qinghua Li
- Breast Disease Center, Guangdong Women and Children Hospital, Guangzhou, China
| | - Ziqi Yu
- The State Key Lab of Respiratory Disease, Institute of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Yuwei Wan
- The State Key Lab of Respiratory Disease, Institute of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Lei Yang
- The State Key Lab of Respiratory Disease, Institute of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Qi Wang
- The First Affiliated Hospital, Jinan University, Guangzhou, China.,Breast Disease Center, Guangdong Women and Children Hospital, Guangzhou, China
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