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Jiang S, Zhu G, Tan Y, Zhou T, Zheng S, Wang F, Lei W, Liu X, Du J, Tian M. Identification of VEGFs-related gene signature for predicting microangiogenesis and hepatocellular carcinoma prognosis. Aging (Albany NY) 2024; 16:205931. [PMID: 38874512 DOI: 10.18632/aging.205931] [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: 08/25/2023] [Accepted: 04/08/2024] [Indexed: 06/15/2024]
Abstract
Microangiogenesis is an important prognostic factor in various cancers, including hepatocellular carcinoma (HCC). The Vascular Endothelial Growth Factor (VEGF) has been shown to contribute to tumor angiogenesis. Recently, several studies have investigated the regulation of VEGF production by a single gene, with few researchers exploring all genes that affect VEGF production. In this study, we comprehensively analyzed all genes affecting VEGF production in HCC and developed a risk model and gene-based risk score based on VEGF production. Moreover, the model's predictive capacity on prognosis of HCCs was verified using training and validation datasets. The developed model showed good prediction of the overall survival rate. Patients with a higher risk score experienced poor outcomes compared to those with a lower risk score. Furthermore, we identified the immunological causes of the poor prognosis of patients with high-risk scores comparing with those with low-risk scores.
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Affiliation(s)
- Shengpan Jiang
- Department of Interventional Medicine, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan, Hubei Province, China
| | - Guoting Zhu
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, Hubei Province, China
| | - Yiqing Tan
- Department of Interventional Medicine, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan, Hubei Province, China
| | - Tao Zhou
- Department of Interventional Medicine, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan, Hubei Province, China
| | - Shilin Zheng
- Department of Interventional Medicine, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan, Hubei Province, China
| | - Fuhua Wang
- Department of Interventional Medicine, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan, Hubei Province, China
| | - Wenfeng Lei
- Department of Interventional Medicine, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan, Hubei Province, China
| | - Xuan Liu
- Department of Interventional Medicine, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan, Hubei Province, China
| | - Jinjun Du
- Department of Hepatology and Gastroenterology, Wuhan Hospital of Traditional Chinese Medicine (The Third Clinical College of Hubei University of Chinese Medicine), Wuhan, Hubei Province, China
| | - Manman Tian
- Department of Hepatology and Gastroenterology, Wuhan Hospital of Traditional Chinese Medicine (The Third Clinical College of Hubei University of Chinese Medicine), Wuhan, Hubei Province, China
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Guan R, Mei J, Guo R. Analysis of the Prognosis Prediction Ability of a Necroptosis-Related Gene Signature and its Relationship With the Hepatocellular Carcinoma Immune Microenvironment Using Bioinformatics Analysis and Experimental Validation. Technol Cancer Res Treat 2023; 22:15330338231182208. [PMID: 37335078 DOI: 10.1177/15330338231182208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/21/2023] Open
Abstract
Background: Hepatocellular carcinoma (HCC) is one of the most malignant cancers and has a poor prognosis. The immune microenvironment is closely related to the drug sensitivity of a tumor. Necroptosis was reported to be a key factor for HCC. The prognostic value of necroptosis-related genes and their association with the tumor immune microenvironment are still unknown. Methods: Necroptosis-related genes that could comprise a signature for predicting the prognosis of HCC cases were identified using univariate analysis and least absolute shrinkage and selection operator Cox regression analysis. The association between this prognosis prediction signature and HCC immune microenvironment was analyzed. The immunological activities and drug sensitivities were compared between different risk score groups identified using the prognosis prediction signature. The expression levels of the five genes comprising the signature were validated using RT-qPCR. Results: A prognosis prediction signature consisting of five necroptosis-related genes was constructed and validated. Its risk score was = (0.1634 × PGAM5 expression) + (0.0134 × CXCL1 expression) - (0.1007 × ALDH2 expression) + (0.2351 × EZH2 expression) - (0.0564 × NDRG2 expression). The signature was found to be significantly associated with the infiltration of B cells, CD4+ T cells, neutrophils, macrophages, and myeloid dendritic cells into the HCC immune microenvironment. The number of infiltrating immune cells and the expression levels of immune checkpoints in the immune microenvironment of high-risk score patients were higher. Sorafenib and immune checkpoint blockade were determined to be ideally suited for treating high-risk score patients and low-risk score patients, respectively. Finally, RT-qPCR results confirmed that the expression levels of EZH2, NDRG2, and ALDH2 were significantly down-regulated in HuH7 and HepG2 cells compared to those in LO2 cells. Conclusion: The necroptosis-related gene signature developed herein can classify patients with HCC according to prognosis risk well and is associated with infiltration of immune cells into the tumor immune microenvironment.
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Affiliation(s)
- Renguo Guan
- Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Jie Mei
- Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Rongping Guo
- Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
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Yu K, Mei Y, Wang Z, Liu B, Deng M. LncRNA LINC00924 upregulates NDRG2 to inhibit epithelial-mesenchymal transition via sponging miR-6755-5p in hepatitis B virus-related hepatocellular carcinoma. J Med Virol 2022; 94:2702-2713. [PMID: 34997970 DOI: 10.1002/jmv.27578] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 12/28/2021] [Accepted: 01/05/2022] [Indexed: 01/09/2023]
Abstract
Hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) is a life-threatening cancer. Long noncoding RNAs participate in HBV-related HCC progression. Based on the bioinformatics analysis, LINC00924 downregulation is positively related to unfavorable outcomes in patients with HBV-related HCC. Herein, we detected the biological functions and regulatory system of LINC00924 in HCC. The LINC00924 downregulation in HBV-related HCC tissues and cells was revealed by reverse transcription-quantitative polymerase chain reaction. Functionally, as Transwell assays and western blotting indicated, LINC00924 elevation inhibited HCC cell invasion and epithelial-mesenchymal transition (EMT). The binding site between LINC00924 and miR-6755-5p was determined by luciferase reporter assays. miR-6755-5p was confirmed to target NDRG2. miR-6755-5p upregulation decreased NDRG2 messenger RNA (mRNA) and protein levels. The mRNA and protein levels of NDRG2 were downregulated in tissues and cells. NDRG2 knockdown attenuated the inhibition induced by LINC00924 overexpression on invasion and EMT of HCC cells. In summary, LINC00924 increases NDRG2 expression to inhibit EMT by targeting miR-6755-5p in HBV-related HCC.
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Affiliation(s)
- Kai Yu
- Department of Ultrasound, People's Hospital of Dongxihu District, Wuhan, Hubei, China
| | - Yunhua Mei
- Department of Infectious Disease, People's Hospital of Dongxihu District, Wuhan, Hubei, China
| | - Zhongyi Wang
- Department of Ultrasound, People's Hospital of Dongxihu District, Wuhan, Hubei, China
| | - Bo Liu
- Department of Ultrasound, People's Hospital of Dongxihu District, Wuhan, Hubei, China
| | - Ming Deng
- Department of General Surgery, People's Hospital of Dongxihu District, Wuhan, Hubei, China
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