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Zhu J, Wang J, Liu H, Lei T, Yang J, Lan S, Jian H, Fang H, Zhang Y, Ren K, Zhong F. Crosstalk of cuproptosis-related prognostic signature and competing endogenous RNAs regulation in hepatocellular carcinoma. Aging (Albany NY) 2023; 15:13901-13919. [PMID: 38078880 PMCID: PMC10756090 DOI: 10.18632/aging.205273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 10/23/2023] [Indexed: 12/21/2023]
Abstract
BACKGROUND Cuproptosis is a new type of programmed cell death involved in the regulation of neuroendocrine tumors, immune microenvironment, and substance metabolism. However, the role of cuproptosis-related genes (CRGs) in Hepatocellular carcinoma (HCC) remains unclear. METHOD Through multiple bioinformatics analysis, we constructed a prognostic gene model and competing endogenous RNA (ceRNA) network. The correlation between CRGs and prognosis, immune infiltration, immune checkpoints, microsatellite instability (MSI) and tumor mutational burden (TMB) was analyzed by Kaplan-Meier curve, univariate Cox, multivariate regression, and Spearman's analysis in HCC patients. Besides, the qRT-PCR and immunohistochemistry assays were used to determine prognostic CRGs mRNA and protein expression in HCC. RESULTS We established a novel 3-gene signature related to CRGs for evaluating the prognosis of HCC patients. HCC patients with high risk scores had a poor prognosis with an area under the curve of 0.737, 0.646, and 0.634 on 1-year, 3-year, and 5-year receiver operating characteristic curves. Significant correlation was observed between prognostic CRGs and immune infiltration, immune checkpoints, MSI and TMB. We also developed five ceRNA networks to regulate the occurrence and progression of HCC. CDKN2A, DLAT, and PDHA1 protein expression was up-regulated in HCC versus normal tissues. Besides, the mRNA expression levels of CDKN2A, DLAT, GLS, and PDHA1 were elevated in the HCC cell lines compared to the normal liver cell lines. CONCLUSIONS This novel prognostic CRGs signature could be accurately predict the prognosis of patients with HCC. The ceRNA regulatory network might be potential prognostic biomarkers and therapeutic targets for HCC patients.
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Affiliation(s)
- Jun Zhu
- Department of Oncology, Guoyang County People’s Hospital, Guoyang Branch of Anhui Provincial Hospital, Guoyang 233607, Anhui, China
- Department of Oncology, Fuyang Hospital of Anhui Medical University, Fuyang 236000, Anhui, China
| | - Jingyan Wang
- Department of Anesthesia, Shaoxing People’s Hospital, Shaoxing 312000, Zhejiang, China
| | - Hong Liu
- Department of Cardiovascular Medicine, Fuyang Hospital of Anhui Medical University, Fuyang 236000, Anhui, China
| | - Tong Lei
- The First Affiliated Hospital, Nanchang University, Nanchang 330006, Jiangxi, China
| | - Jiankang Yang
- Department of Cardiac Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230000, Anhui, China
| | - Sheng Lan
- The Second Clinical College of Guangzhou Medical University, Guangzhou 510030, Guangdong, China
| | - Haokun Jian
- School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang 453003, Henan, China
| | - Hanlu Fang
- Institute of Medical and Health Science, Hebei Medical University, Shijiazhuang 050017, Hebei, China
| | - Yu Zhang
- The Second Clinical Medical College, Lanzhou University, Lanzhou 730000, Gansu, China
| | - Kuiwu Ren
- Department of Hepatobiliary Surgery, Fuyang People’s Hospital, Fuyang 236000, Anhui, China
| | - Fei Zhong
- Department of Oncology, Fuyang Hospital of Anhui Medical University, Fuyang 236000, Anhui, China
- Department of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei 230000, Anhui, China
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Zhang X, Tao T, Qiu Y, Guo X, Zhu X, Zhou X. Copper-mediated novel cell death pathway in tumor cells and implications for innovative cancer therapies. Biomed Pharmacother 2023; 168:115730. [PMID: 37864891 DOI: 10.1016/j.biopha.2023.115730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 10/08/2023] [Accepted: 10/13/2023] [Indexed: 10/23/2023] Open
Abstract
Previous investigations have unraveled an array of cellular demise modalities, encompassing apoptosis, necrosis, pyroptosis, iron death, and several others. These diverse pathways of cell death have been harnessed as therapeutic strategies for eradicating tumor cells. Recent scientific inquiries have unveiled a novel mode of cell death, namely copper death, which is contingent upon intracellular copper levels. Diverging from conventional cell death mechanisms, copper death exhibits a heightened reliance on mitochondrial respiration, specifically the tricarboxylic acid (TCA) cycle. Tumor cells exhibit distinctive metabolic profiles and an elevated copper content compared to their normal counterparts. The emergence of copper death presents a tantalizing prospect for targeted therapies in the realm of cancer treatment. Thus, the primary objective of this review is to introduce the proteins and intricate mechanisms underlying copper death, while comprehensively summarizing the extensive body of knowledge concerning its ramifications across diverse tumor types. The insights garnered from this comprehensive synthesis will serve as an invaluable reference for driving the development of tailor-made therapeutic interventions for tumors.
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Affiliation(s)
- Xiaodan Zhang
- Department of Immunology, School of Medicine, Nantong University, Nantong, China; Computational Systems Biology Lab (CSBL), The Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, China
| | - Tao Tao
- Department of Gastroenterology, Zibo Central Hospital, Zibo, China
| | - Yishu Qiu
- Department of Biology, College of Arts and Science, New York University, New York, USA
| | - Xiaojun Guo
- Computational Systems Biology Lab (CSBL), The Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, China
| | - Xiao Zhu
- Computational Systems Biology Lab (CSBL), The Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, China; Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou Medical College, Hangzhou, China.
| | - Xiaorong Zhou
- Department of Immunology, School of Medicine, Nantong University, Nantong, China.
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Wang M, Zheng L, Ma S, Lin R, Li J, Yang S. Cuproptosis: emerging biomarkers and potential therapeutics in cancers. Front Oncol 2023; 13:1288504. [PMID: 38023234 PMCID: PMC10662309 DOI: 10.3389/fonc.2023.1288504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 10/23/2023] [Indexed: 12/01/2023] Open
Abstract
The sustenance of human life activities depends on copper, which also serves as a crucial factor for vital enzymes. Under typical circumstances, active homeostatic mechanisms keep the intracellular copper ion concentration low. Excess copper ions cause excessive cellular respiration, which causes cytotoxicity and cell death as levels steadily rise above a threshold. It is a novel cell death that depends on mitochondrial respiration, copper ions, and regulation. Cuproptosis is now understood to play a role in several pathogenic processes, including inflammation, oxidative stress, and apoptosis. Copper death is a type of regulatory cell death(RCD).Numerous diseases are correlated with the development of copper homeostasis imbalances. One of the most popular areas of study in the field of cancer is cuproptosis. It has been discovered that cancer angiogenesis, proliferation, growth, and metastasis are all correlated with accumulation of copper ions. Copper ion concentrations can serve as a crucial marker for cancer development. In order to serve as a reference for clinical research on the product, diagnosis, and treatment of cancer, this paper covers the function of copper ion homeostasis imbalance in malignant cancers and related molecular pathways.
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Affiliation(s)
- Min Wang
- Department of Obstetrics and Gynecology, The Second Hospital of Jilin University, Changchun, China
| | - Lianwen Zheng
- Department of Obstetrics and Gynecology, The Second Hospital of Jilin University, Changchun, China
| | - Shuai Ma
- Department of Obstetrics and Gynecology, The Second Hospital of Jilin University, Changchun, China
| | - Ruixin Lin
- Department of Hepato-Biliary-Pancreatic Surgery, The Second Hospital of Jilin University, Changchun, China
| | - Jiahui Li
- Department of Obstetrics and Gynecology, The Second Hospital of Jilin University, Changchun, China
| | - Shuli Yang
- Department of Obstetrics and Gynecology, The Second Hospital of Jilin University, Changchun, China
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Hu H, Dou X, Hu X, Wang L, Ma Y, Liu J, Zhou X, Cao H, Liu X, Deng X, Li N. Identification of a novel cuproptosis-related gene signature for rheumatoid arthritis-A prospective study. J Gene Med 2023; 25:e3535. [PMID: 37338187 DOI: 10.1002/jgm.3535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 05/10/2023] [Accepted: 05/16/2023] [Indexed: 06/21/2023] Open
Abstract
BACKGROUND Rheumatoid arthritis (RA) is a multifactorial systemic autoimmune disease characterized by ongoing synovial inflammation, leading to the degradation of cartilage. Cuproptosis, as a newly characterized form of cell death, may influence RA progression by regulating immune cells and chondrocytes. This study sets out to identify the hub cuproptosis-related gene (CRG) associated with the pathogenesis of RA. METHODS A series of bioinformatic analyses were performed to evaluate the expression score of CRGs and the immune infiltration landscape between RA and normal samples. The hub gene was screened through the correlation analysis of CRGs, and the interaction network between the hub gene and transcription factors (TFs) was constructed. Finally, the hub gene was validated through quantitative real-time polymerase chain reaction (qRT-PCR) of patient samples and cell experiments. RESULTS Drolipoamide S-acetyltransferase (DLAT) was screened as the hub gene. Correlation analysis between the hub gene and immune microenvironment demonstrated that DLAT had the highest correlation with T follicular helper cells. Eight pairs of DLAT-TF interaction networks were constructed. Single-cell sequencing showed that CRGs were highly expressed in RA chondrocytes, and chondrocytes could be classified into three different subsets. qRT-PCR was used to validate the above results. Dlat knockdown in immortalized human chondrocytes led to significantly improved mitochondrial membrane potentials and reduced levels of intracellular reactive oxygen species (ROS), mitochondrial ROS and apoptosis. CONCLUSIONS This study rudimentarily demonstrates the correlation between CRGs and immune cell infiltration in RA. The biomarker DLAT may provide comprehensive insights into the pathogenesis and drug targets of RA.
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Affiliation(s)
- Han Hu
- National Key Laboratory of Immunity and Inflammation, Institute of Immunology, Naval Medical University, Shanghai, China
- Faculty of Anesthesiology, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Xinyu Dou
- Department of Orthopedics, Peking University Third Hospital, Beijing, China
- Beijing Key Laboratory of Spinal Diseases, Beijing, China
- Engineering Research Center of Bone and Joint Precision Medicine, Beijing, China
| | - Xiangjia Hu
- National Key Laboratory of Immunity and Inflammation, Institute of Immunology, Naval Medical University, Shanghai, China
| | - Linbang Wang
- Department of Orthopedics, Peking University Third Hospital, Beijing, China
- Beijing Key Laboratory of Spinal Diseases, Beijing, China
- Engineering Research Center of Bone and Joint Precision Medicine, Beijing, China
| | - Yunlong Ma
- Pain Medicine Center, Peking University Third Hospital, Beijing, China
| | - Jingkun Liu
- Data Centre Department, Honghui Hospital, Xi'an Jiaotong University, Xi'an, China
| | - Xuchang Zhou
- School of Kinesiology, Shanghai University of Sport, Shanghai, China
| | - Hong Cao
- School of Kinesiology, Shanghai University of Sport, Shanghai, China
| | - Xiaoguang Liu
- Department of Orthopedics, Peking University Third Hospital, Beijing, China
- Beijing Key Laboratory of Spinal Diseases, Beijing, China
- Engineering Research Center of Bone and Joint Precision Medicine, Beijing, China
| | - Xiaoming Deng
- Faculty of Anesthesiology, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Nan Li
- National Key Laboratory of Immunity and Inflammation, Institute of Immunology, Naval Medical University, Shanghai, China
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Yao K, Zhang R, Li L, Liu M, Feng S, Yan H, Zhang Z, Xie D. The signature of cuproptosis-related immune genes predicts the tumor microenvironment and prognosis of prostate adenocarcinoma. Front Immunol 2023; 14:1181370. [PMID: 37600770 PMCID: PMC10433769 DOI: 10.3389/fimmu.2023.1181370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 07/17/2023] [Indexed: 08/22/2023] Open
Abstract
Background Cuproptosis plays a crucial role in cancer, and different subtypes of cuproptosis have different immune profiles in prostate adenocarcinoma (PRAD). This study aimed to investigate immune genes associated with cuproptosis and develop a risk model to predict prognostic characteristics and chemotherapy/immunotherapy responses of patients with PRAD. Methods The CIBERSORT algorithm was used to evaluate the immune and stromal scores of patients with PRAD in The Cancer Genome Atlas (TCGA) cohort. Validation of differentially expressed genes DLAT and DLD in benign and malignant tissues by immunohistochemistry, and the immune-related genes of DLAT and DLD were further screened. Univariable Cox regression were performed to select key genes. Least absolute shrinkage and selection operator (LASSO)-Cox regression analyse was used to develop a risk model based on the selected genes. The model was validated in the TCGA, Memorial Sloan-Kettering Cancer Center (MSKCC) and Gene Expression Omnibus (GEO) datasets, as well as in this study unit cohort. The genes were examined via functional enrichment analysis, and the tumor immune features, tumor mutation features and copy number variations (CNVs) of patients with different risk scores were analysed. The response of patients to multiple chemotherapeutic/targeted drugs was assessed using the pRRophetic algorithm, and immunotherapy was inferred by the Tumor Immune Dysfunction and Exclusion (TIDE) and immunophenoscore (IPS). Results Cuproptosis-related immune risk scores (CRIRSs) were developed based on PRLR, DES and LECT2. High CRIRSs indicated poor overall survival (OS), disease-free survival (DFS) in the TCGA-PRAD, MSKCC and GEO datasets and higher T stage and Gleason scores in TCGA-PRAD. Similarly, in the sample collected by the study unit, patients with high CRIRS had higher T-stage and Gleason scores. Additionally, higher CRIRSs were negatively correlated with the abundance of activated B cells, activated CD8+ T cells and other stromal or immune cells. The expression of some immune checkpoints was negatively correlated with CRIRSs. Tumor mutational burden (TMB), mutant-allele tumor heterogeneity (MATH) and copy number variation (CNV) scores were all higher in the high-CRIRS group. Multiple chemotherapeutic/targeted drugs and immunotherapy had better responsiveness in the low-CRIRS group. Conclusion Overall, lower CRIRS indicated better response to treatment strategies and better prognostic outcomes.
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Affiliation(s)
- Kai Yao
- Department of Urology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Rumeng Zhang
- Department of Pathology, School of Basic Medicine, Anhui Medical University, Hefei, Anhui, China
| | - Liang Li
- Department of Urology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Mingdong Liu
- Department of Urology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Shiyao Feng
- Department of Urology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Haixin Yan
- Department of Urology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Zhihui Zhang
- Department of Urology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Dongdong Xie
- Department of Urology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
- Department of Urology, Affiliated Fuyang Hospital of Anhui Medical University, Fuyang, Anhui, China
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Zhang Y, Hu Y, Yu J, Xie X, Jiang F, Wu C. Landscape of PCOS co-expression gene and its role in predicting prognosis and assisting immunotherapy in endometrial cancer. J Ovarian Res 2023; 16:129. [PMID: 37393293 DOI: 10.1186/s13048-023-01201-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 06/07/2023] [Indexed: 07/03/2023] Open
Abstract
BACKGROUND Endometrial carcinoma (EC) is the sixth most frequent malignancy in women and is often linked to high estrogen exposure. Polycystic ovarian syndrome (PCOS) is a known risk factor for EC, but the underlying mechanisms remain unclear. METHODS We investigated shared gene signals and potential biological pathways to identify effective therapy options for PCOS- and EC-related malignancies. Weighted gene expression network analysis (WGCNA) was used to identify genes associated with PCOS and EC using gene expression data from the Gene Expression Omnibus (GEO) and Cancer Genome Atlas (TCGA) datasets. Enrichment analysis using Cluego software revealed that the steroid hormone biosynthetic process was a critical feature in both PCOS and EC. A predictive signature encompassing genes involved in steroid hormone production was developed using multivariate and least absolute shrinkage and selection operator (LASSO) regression analysis to predict the prognosis of EC. Then, we conducted further experimental verification. RESULTS Patients in the TCGA cohort with high predictive scores had poorer outcomes than those with low scores. We also investigated the relationship between tumor microenvironment (TME) features and predictive risk rating and found that patients with low-risk scores had higher levels of inflammatory and inhibitory immune cells. Also, we found that immunotherapy against anti-CTLA4 and anti-PD-1/PD-L1 was successful in treating individuals with low risk. Low-risk individuals were more responsive to crizotinib therapy, according to further research performed using the "pRRophetic" R package. We further confirmed that IGF2 expression was associated with tumor cell migration, proliferation, and invasion in EC cells. CONCLUTIONS By uncovering the pathways and genes linking PCOS and EC, our findings may provide new therapeutic strategies for patients with PCOS-related EC.
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Affiliation(s)
- Yun Zhang
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, No.300, Guangzhou Road, Nanjing, 210029, China
| | - Yifang Hu
- Department of Geriatric Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jian Yu
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, No.300, Guangzhou Road, Nanjing, 210029, China
| | - Xiaoyan Xie
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, No.300, Guangzhou Road, Nanjing, 210029, China
| | - Feng Jiang
- Department of Neonatology, Obstetrics and Gynecology Hospital of Fudan University, No.419, Fangxie Road, Shanghai, 200011, China.
| | - Chuyan Wu
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, No.300, Guangzhou Road, Nanjing, 210029, China.
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Zhang G, Yin Z, Fang J, Wu A, Chen G, Cao K. Construction of the novel immune risk scoring system related to CD8 + T cells in uterine corpus endometrial carcinoma. Cancer Cell Int 2023; 23:124. [PMID: 37349706 DOI: 10.1186/s12935-023-02966-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 06/07/2023] [Indexed: 06/24/2023] Open
Abstract
BACKGROUND Uterine corpus endometrial carcinoma (UCEC) is a gynecological malignant tumor with high incidence and poor prognosis. Although immunotherapy has brought significant survival benefits to advanced UCEC patients, traditional evaluation indicators cannot accurately identify all potential beneficiaries of immunotherapy. Consequently, it is necessary to construct a new scoring system to predict patient prognosis and responsiveness of immunotherapy. METHODS CIBERSORT combined with weighted gene co-expression network analysis (WGCNA), non-negative matrix factorization (NMF), and random forest algorithms to screen the module associated with CD8+ T cells, and key genes related to prognosis were selected out by univariate, least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analyses to develop the novel immune risk score (NIRS). Kaplan-Meier (K-M) analysis was used to compare the difference of survival between high- and low- NIRS groups. We also explored the correlations between NIRS, immune infiltration and immunotherapy, and three external validation sets were used to verify the predictive performance of NIRS. Furthermore, clinical subgroup analysis, mutation analysis, differential expression of immune checkpoints, and drug sensitivity analysis were performed to generate individualized treatments for patients with different risk scores. Finally, gene set variation analysis (GSVA) was conducted to explore the biological functions of NIRS, and qRT-PCR was applied to verify the differential expressions of three trait genes at cellular and tissue levels. RESULTS Among the modules clustered by WGCNA, the magenta module was most positively associated with CD8+ T cells. Three genes (CTSW, CD3D and CD48) were selected to construct NIRS after multiple screening procedures. NIRS was confirmed as an independent prognostic factor of UCEC, and patients with high NIRS had significantly worse prognosis compared to those with low NIRS. The high NIRS group showed lower levels of infiltrated immune cells, gene mutations, and expression of multiple immune checkpoints, indicating reduced sensitivity to immunotherapy. Three module genes were identified as protective factors positively correlated with the level of CD8+ T cells. CONCLUSIONS In this study, we constructed NIRS as a novel predictive signature of UCEC. NIRS not only differentiates patients with distinct prognoses and immune responsiveness, but also guides their therapeutic regimens.
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Affiliation(s)
- Ganghua Zhang
- Department of Oncology, Third Xiangya Hospital, Central South University, Changsha, China
| | - Zhijing Yin
- Department of Oncology, Third Xiangya Hospital, Central South University, Changsha, China
| | - Jianing Fang
- Department of Oncology, Third Xiangya Hospital, Central South University, Changsha, China
| | - Anshan Wu
- Zhuzhou Hospital Affiliated to Xiangya School of Medicine, Central South University, Zhuzhou, China
| | - Guanjun Chen
- Department of Oncology, Third Xiangya Hospital, Central South University, Changsha, China
| | - Ke Cao
- Department of Oncology, Third Xiangya Hospital, Central South University, Changsha, China.
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Wang D, Tian Z, Zhang P, Zhen L, Meng Q, Sun B, Xu X, Jia T, Li S. The molecular mechanisms of cuproptosis and its relevance to cardiovascular disease. Biomed Pharmacother 2023; 163:114830. [PMID: 37150036 DOI: 10.1016/j.biopha.2023.114830] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2022] [Revised: 04/11/2023] [Accepted: 04/30/2023] [Indexed: 05/09/2023] Open
Abstract
Recently, cuproptosis has been demonstrated to be a new non-apototic cell death mode that is characterized by copper dependence and the regulation of mitochondrial respiration. Cuproptosis is distinct from known cell death modes such as apoptosis, necrosis, pyroptosis, or ferroptosis. Excessive copper induces cuproptosis by promoting protein toxic stress reactions via copper-dependent anomalous oligomerization of lipoylation proteins in the tricarboxylic acid (TCA) cycle and reducing iron-sulfur cluster protein levels. Ferredoxin1 (FDX1) promotes dihydrolipoyl transacetylase (DLAT) lipoacylation and abates iron-sulfur cluster proteins by reducing Cu2+ to Cu+, inducing cell death. Copper homeostasis depends on the copper transporter, and disturbances to this homeostasis cause cuproptosis. Recent evidence has shown that cuproptosis plays a significant role in the occurrence and development of many cardiovascular diseases, such as myocardial ischemia/reperfusion (I/R) injury, heart failure, atherosclerosis, and arrhythmias. Copper chelators, such as ammonium tetrathiomolybdate(VI) and DL-Penicillamine, may ease the above cardiovascular diseases by inhibiting the cuproptosis pathway. Oxidative phosphorylation inhibitors may inhibit cuproptosis by inhibiting protein stress response. In conclusion, cuproptosis plays an essential role in cardiovascular disease pathogenesis. Inhibition of cardiovascular cuproptosis is expected to become a potential treatment. Here, we will thoroughly review the molecular mechanisms involved in cuproptosis and its significance in cardiovascular disease.
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Affiliation(s)
- Di Wang
- Department of Anesthesiology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Zhenyu Tian
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health. Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational. Cardiovascular Medicine, Department of Cardiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Peng Zhang
- Department of Urology, Zibo Hospital of Integrated Traditional Chinese and Western Medicine, Zibo, China
| | - Lv Zhen
- Department of Cardiology, Zibo First Hospital, Zibo, China
| | - Qingju Meng
- Department of Internal Medicine, Zoucheng Xiangcheng Town Health Center, Jining, China
| | - Benteng Sun
- Department of Primary and Secondary education, Qufu Mingde School, Jining, China
| | - Xingli Xu
- Ultrasound in Cardiac Electrophysiology and Biomechanics Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Tong Jia
- Department of Geratology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Shandong First Medical University, Jinan, China
| | - Shengqiang Li
- Department of Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Shandong First Medical University, Jinan, China.
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Zhang X, Ye Z, Xiao G, He T. Prognostic signature construction and immunotherapy response analysis for Uterine Corpus Endometrial Carcinoma based on cuproptosis-related lncRNAs. Comput Biol Med 2023; 159:106905. [PMID: 37060773 DOI: 10.1016/j.compbiomed.2023.106905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 03/21/2023] [Accepted: 04/10/2023] [Indexed: 04/17/2023]
Abstract
BACKGROUND As a general female malignant tumor, Uterine Corpus Endometrial Carcinoma (UCEC) has high mortality and relapses. Cuproptosis was found to play an essential role in tumor by more and more researches. However, it is still unclear of the prognostic value and function of cuproptosis related Long non-coding RNA (lncRNA) in UCEC. METHODS Sequencing data with the corresponding clinical data and cuproptosis-related genes (CRGs) data were obtained from the Cancer Gene Atlas (TCGA) database and cuproptosis related studies. Pearson test was applied to select cuproptosis-related lncRNAs (CRLs). Prognosis associated CRLs was identified by univariate Cox analysis and the predictors were determined by least absolute shrinkage and selection operator (Lasso)-Cox and multivariate Cox analyses to construct the cuproptosis-related lncRNA prognostic signature (CRLPS). The performance of the CRLPs was evaluated by consistency index (C-index) and Kaplan-Meier analysis. A nomogram model was constructed for survival prediction and the accuracy of the model was evaluated by calibration curve. Finally, immune related analyses were applied to predict immune responses and identify drugs with potential efficacy for the overall survival (OS). RESULTS A total of 734 CRLs were found and 29 of them were identified as prognosis related lncRNAs. 12 CRLs were finally determined to build the CRLPS which revealed good ability on prognosis predicting. Subsequently, risk score of the CRLPS and grade were assessed as independent prognosis factors for UCEC, based on which the prognostic model provided the highest prediction accuracy of 99.7%. The calibration curve suggested that the prediction results consisted well with the observation. Enrichment analysis showed the CRLPS was mainly associated with tumor development and immune response. Patients in low tumor mutation burden (TMB) group had poorer OS. Significant difference was found in tumor immune dysfunction and exclusion (TIDE) score between different risk score groups. Finally, based on the CRLPs, drug sensitivity analysis identified nine anticancer drugs with potential efficacy on prognosis. CONCLUSION Cuproptosis-related lncRNA prognostic signature was constructed for UCEC for the first time. Its high reliability and accuracy on predicting prognosis and immunotherapy response provided new perspective to explore the tumor mechanism and improve clinical prognosis. Nine discovered sensitive drugs provided important clues for personalized treatment of UCEC.
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Affiliation(s)
- Xu Zhang
- School of Mathematics and Statistics, Southwest University, Chongqing, China
| | - Zhiqiang Ye
- School of Primary Education, Chongqing Normal University, Chongqing, China
| | - Guohong Xiao
- Chengdu No.7 High School, Chengdu, Sichuan, China
| | - Ting He
- School of Mathematics and Statistics, Southwest University, Chongqing, China.
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Guo C, Tang Y, Li Q, Yang Z, Guo Y, Chen C, Zhang Y. Deciphering the immune heterogeneity dominated by natural killer cells with prognostic and therapeutic implications in hepatocellular carcinoma. Comput Biol Med 2023; 158:106872. [PMID: 37030269 DOI: 10.1016/j.compbiomed.2023.106872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 03/15/2023] [Accepted: 03/30/2023] [Indexed: 04/05/2023]
Abstract
Belonging to type 1 innate lymphoid cells (ILC1), natural killer (NK) cells play an important role not only in fighting microbial infections but also in anti-tumor response. Hepatocellular carcinoma (HCC) represents an inflammation-related malignancy and NK cells are enriched in the liver, making them an essential component of the HCC immune microenvironment. In this study, we performed single-cell RNA-sequencing (scRNA-seq) analysis to identify the NK cell marker genes (NKGs) and uncovered 80 prognosis-related ones by the TCGA-LIHC dataset. Based on prognostic NKGs, HCC patients were categorized into two subtypes with distinct clinical outcomes. Subsequently, we conducted LASSO-COX and stepwise regression analysis on prognostic NKGs to establish a five-gene (UBB, CIRBP, GZMH, NUDC, and NCL) prognostic signature-NKscore. Different mutation statuses of the two risk groups stratified by NKscore were comprehensively characterized. Besides, the established NKscore-integrated nomogram presented enhanced predictive performance. Single sample gene set enrichment analysis (ssGSEA) analysis was used to uncover the landscape of the tumor immune microenvironment (TIME) and the high-NKscore risk group was characterized with an immune-exhausted phenotype while the low-NKscore risk group held relatively strong anti-cancer immunity. T cell receptor (TCR) repertoire, tumor inflammation signature (TIS), and Immunophenoscore (IPS) analyses revealed differences in immunotherapy sensitivity between the two NKscore risk groups. Taken together, we developed a novel NK cell-related signature to predict the prognosis and immunotherapy efficacy for HCC patients.
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Affiliation(s)
- Chengbin Guo
- Faculty of Medicine, Macau University of Science and Technology, Tapai, Macau, 999078, China
| | - Yuqin Tang
- Clinical Bioinformatics Experimental Center, Henan Provincial People's Hospital, Zhengzhou University, 450003, Zhengzhou, China
| | - Qizhuo Li
- School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, 510006, China
| | - Zhao Yang
- West China School of Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Yuqi Guo
- Clinical Bioinformatics Experimental Center, Henan Provincial People's Hospital, Zhengzhou University, 450003, Zhengzhou, China.
| | - Chuanliang Chen
- Clinical Bioinformatics Experimental Center, Henan Provincial People's Hospital, Zhengzhou University, 450003, Zhengzhou, China.
| | - Yongqiang Zhang
- West China School of Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China; Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China.
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11
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Lin S, Xu Y, Liu B, Zheng L, Cao C, Wu P, Ding W, Ren F. A novel cuproptosis-related gene signature for overall survival prediction in uterine corpus endometrial carcinoma (UCEC). Heliyon 2023; 9:e14613. [PMID: 37035374 PMCID: PMC10073764 DOI: 10.1016/j.heliyon.2023.e14613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 03/06/2023] [Accepted: 03/14/2023] [Indexed: 03/18/2023] Open
Abstract
Cuproptosis is a copper-dependent model of cell death involved in tumor genesis and progression. Its roles in uterine corpus endometrial carcinoma (UCEC) remains elusive. Here, we aimed to explore the expression and prognostic values of cuprotosis-related genes (CRGs) in UCEC. Expression profiles and clinical data of UCEC were downloaded from The Cancer Genome Atlas (TCGA), and randomly divided into testing or training cohort (1:1 ratio). The CRG signature was identified by LASSO regression analysis. The differentially expressed genes and their functional enrichment analysis were performed by the "limma" R package and Metascape, respectively. The immunocytes infiltration was measured by TIMER, and "GSVA" R package. In total, seven differentially expressed prognostic genes of CRGs in UCEC were identified, and four genes (GLS, CDKN2A, PC, and SUCLG1) were selected to construct a predictive model in training cohort. UCEC patients from training and testing cohorts were further divided into high- or low-risk groups according to the median risk score. High-risk group favored poor prognosis compared to low-risk group. Functional enrichment analysis revealed this CRG signature were got involved in the process of cell-cell adhesion and immune activities (e.g., IL-1 signaling pathway, cellular response to cytokine stimulus). Further analyses revealed there were significant differences between high- and low-risk patients regarding immunocytes infiltration, chemokines, and chemokine receptors. Finally, the expression and biological functions of identified CRGs were confirmed by UCEC samples and experimental methods in vitro. In summary, the CRG signature was significantly correlated with patients' overall survival, which could provide insights into the diagnosis and prognosis prediction for UCEC.
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Zhang B, Zhang T, Zheng Z, Lin Z, Wang Q, Zheng D, Chen Z, Ma Y. Development and validation of a cuproptosis-associated prognostic model for diffuse large B-cell lymphoma. Front Oncol 2023; 12:1020566. [PMID: 36713586 PMCID: PMC9877310 DOI: 10.3389/fonc.2022.1020566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 12/22/2022] [Indexed: 01/14/2023] Open
Abstract
Diffuse large B-cell lymphoma (DLBCL) is a highly heterogeneous disease. Therefore, more reliable biomarkers are required to better predict the prognosis of DLBCL. Cuproptosis is a novel identified form of programmed cell death (PCD) that is different from oxidative stress-related cell death (e.g., apoptosis, ferroptosis, and necroptosis) by Tsvetkov and colleagues in a recent study released in Science. Cuproptosis is copper-dependent PCD that is closely tied to mitochondrial metabolism. However, the prognostic value of cuproptosis-related genes (CRGs) in DLBCL remains to be further elucidated. In the present study, we systematically evaluated the molecular changes of CRGs in DLBCL and found them to be associated with prognosis. Subsequently, based on the expression profiles of CRGs, we characterized the heterogeneity of DLBCL by identifying two distinct subtypes using consensus clustering. Two isoforms exhibited different survival, biological functions, chemotherapeutic drug sensitivity, and immune microenvironment. After identifying differentially expressed genes (DEGs) between CRG clusters, we built a prognostic model with the Least absolute shrinkage and selection operator (LASSO) Cox regression analysis and validated its prognostic value by Cox regression analysis, Kaplan-Meier curves, and receiver operating characteristic (ROC) curves. In addition, the risk score can predict clinical characteristics, levels of immune cell infiltration, and prognosis. Furthermore, a nomogram incorporating clinical features and risk score was generated to optimize risk stratification and quantify risk assessment. Compared to the International Prognostic Index (IPI), the nomogram has demonstrated more accuracy in survival prediction. Furthermore, we validated the prognostic gene expression levels through external experiments. In conclusion, cuproptosis-related gene signature can serve as a potential prognostic predictor in DLBCL patients and may provide new insights into cancer therapeutic targets.
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Affiliation(s)
- Bingxin Zhang
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Tianyu Zhang
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Ziwei Zheng
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Zhili Lin
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Quanqiang Wang
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Dong Zheng
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Zixing Chen
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Yongyong Ma
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China,*Correspondence: Yongyong Ma,
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Xue Y, Jiang X, Wang J, Zong Y, Yuan Z, Miao S, Mao X. Effect of regulatory cell death on the occurrence and development of head and neck squamous cell carcinoma. Biomark Res 2023; 11:2. [PMID: 36600313 PMCID: PMC9814270 DOI: 10.1186/s40364-022-00433-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 11/08/2022] [Indexed: 01/06/2023] Open
Abstract
Head and neck cancer is a malignant tumour with a high mortality rate characterized by late diagnosis, high recurrence and metastasis rates, and poor prognosis. Head and neck squamous cell carcinoma (HNSCC) is the most common type of head and neck cancer. Various factors are involved in the occurrence and development of HNSCC, including external inflammatory stimuli and oncogenic viral infections. In recent years, studies on the regulation of cell death have provided new insights into the biology and therapeutic response of HNSCC, such as apoptosis, necroptosis, pyroptosis, autophagy, ferroptosis, and recently the newly discovered cuproptosis. We explored how various cell deaths act as a unique defence mechanism against cancer emergence and how they can be exploited to inhibit tumorigenesis and progression, thus introducing regulatory cell death (RCD) as a novel strategy for tumour therapy. In contrast to accidental cell death, RCD is controlled by specific signal transduction pathways, including TP53 signalling, KRAS signalling, NOTCH signalling, hypoxia signalling, and metabolic reprogramming. In this review, we describe the molecular mechanisms of nonapoptotic RCD and its relationship to HNSCC and discuss the crosstalk between relevant signalling pathways in HNSCC cells. We also highlight novel approaches to tumour elimination through RCD.
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Affiliation(s)
- Yuting Xue
- grid.412651.50000 0004 1808 3502Department of Head and Neck Surgery, Harbin Medical University Cancer Hospital, Harbin, China
| | - Xuejiao Jiang
- grid.24696.3f0000 0004 0369 153XBeijing Key Lab of TCM Collateral Disease Theory Research, School of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Junrong Wang
- grid.412651.50000 0004 1808 3502Department of Head and Neck Surgery, Harbin Medical University Cancer Hospital, Harbin, China
| | - Yuxuan Zong
- Department of Breast Surgery, The First of hospital of Qiqihar, Qiqihar, China
| | - Zhennan Yuan
- grid.412651.50000 0004 1808 3502Department of Head and Neck Surgery, Harbin Medical University Cancer Hospital, Harbin, China
| | - Susheng Miao
- grid.412651.50000 0004 1808 3502Department of Head and Neck Surgery, Harbin Medical University Cancer Hospital, Harbin, China
| | - Xionghui Mao
- grid.412651.50000 0004 1808 3502Department of Head and Neck Surgery, Harbin Medical University Cancer Hospital, Harbin, China
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Tong X, Tang R, Xiao M, Xu J, Wang W, Zhang B, Liu J, Yu X, Shi S. Targeting cell death pathways for cancer therapy: recent developments in necroptosis, pyroptosis, ferroptosis, and cuproptosis research. J Hematol Oncol 2022; 15:174. [PMID: 36482419 PMCID: PMC9733270 DOI: 10.1186/s13045-022-01392-3] [Citation(s) in RCA: 138] [Impact Index Per Article: 69.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 11/30/2022] [Indexed: 12/13/2022] Open
Abstract
Many types of human cells self-destruct to maintain biological homeostasis and defend the body against pathogenic substances. This process, called regulated cell death (RCD), is important for various biological activities, including the clearance of aberrant cells. Thus, RCD pathways represented by apoptosis have increased in importance as a target for the development of cancer medications in recent years. However, because tumor cells show avoidance to apoptosis, which causes treatment resistance and recurrence, numerous studies have been devoted to alternative cancer cell mortality processes, namely necroptosis, pyroptosis, ferroptosis, and cuproptosis; these RCD modalities have been extensively studied and shown to be crucial to cancer therapy effectiveness. Furthermore, evidence suggests that tumor cells undergoing regulated death may alter the immunogenicity of the tumor microenvironment (TME) to some extent, rendering it more suitable for inhibiting cancer progression and metastasis. In addition, other types of cells and components in the TME undergo the abovementioned forms of death and induce immune attacks on tumor cells, resulting in enhanced antitumor responses. Hence, this review discusses the molecular processes and features of necroptosis, pyroptosis, ferroptosis, and cuproptosis and the effects of these novel RCD modalities on tumor cell proliferation and cancer metastasis. Importantly, it introduces the complex effects of novel forms of tumor cell death on the TME and the regulated death of other cells in the TME that affect tumor biology. It also summarizes the potential agents and nanoparticles that induce or inhibit novel RCD pathways and their therapeutic effects on cancer based on evidence from in vivo and in vitro studies and reports clinical trials in which RCD inducers have been evaluated as treatments for cancer patients. Lastly, we also summarized the impact of modulating the RCD processes on cancer drug resistance and the advantages of adding RCD modulators to cancer treatment over conventional treatments.
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Affiliation(s)
- Xuhui Tong
- grid.452404.30000 0004 1808 0942Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong’An Road, Shanghai, 200032 China ,grid.8547.e0000 0001 0125 2443Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Rong Tang
- grid.452404.30000 0004 1808 0942Shanghai Pancreatic Cancer Institute, No. 270 Dong’An Road, Shanghai, 200032 China ,grid.8547.e0000 0001 0125 2443Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Mingming Xiao
- grid.452404.30000 0004 1808 0942Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong’An Road, Shanghai, 200032 China ,grid.8547.e0000 0001 0125 2443Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jin Xu
- grid.452404.30000 0004 1808 0942Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong’An Road, Shanghai, 200032 China ,grid.8547.e0000 0001 0125 2443Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Wei Wang
- grid.452404.30000 0004 1808 0942Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong’An Road, Shanghai, 200032 China ,grid.8547.e0000 0001 0125 2443Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Bo Zhang
- grid.452404.30000 0004 1808 0942Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong’An Road, Shanghai, 200032 China ,grid.8547.e0000 0001 0125 2443Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jiang Liu
- grid.452404.30000 0004 1808 0942Shanghai Pancreatic Cancer Institute, No. 270 Dong’An Road, Shanghai, 200032 China ,grid.8547.e0000 0001 0125 2443Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Xianjun Yu
- Shanghai Pancreatic Cancer Institute, No. 270 Dong'An Road, Shanghai, 200032, China. .,Pancreatic Cancer Institute, Fudan University, Shanghai, China.
| | - Si Shi
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong'An Road, Shanghai, 200032, China. .,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
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