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Shen Y, Chen J, Wu J, Li T, Yi C, Wang K, Wang P, Sun C, Ye H. Combination of an Autoantibody Panel and Alpha-Fetoprotein for Early Detection of Hepatitis B Virus-Associated Hepatocellular Carcinoma. Cancer Prev Res (Phila) 2024; 17:227-235. [PMID: 38489403 DOI: 10.1158/1940-6207.capr-23-0311] [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: 07/28/2023] [Revised: 01/04/2024] [Accepted: 03/12/2024] [Indexed: 03/17/2024]
Abstract
The purpose of this study was to identify biomarkers associated with hepatitis B virus-associated hepatocellular carcinoma (HBV-HCC) and to develop a new combination with good diagnostic performance. This study was divided into four phases: discovery, verification, validation, and modeling. A total of four candidate tumor-associated autoantibodies (TAAb; anti-ZIC2, anti-PCNA, anti-CDC37L1, and anti-DUSP6) were identified by human proteome microarray (52 samples) and bioinformatics analysis. Subsequently, these candidate TAAbs were further confirmed by indirect ELISA with two testing cohorts (120 samples for verification and 663 samples for validation). The AUC for these four TAAbs to identify patients with HBV-HCC from chronic hepatitis B (CHB) patients ranged from 0.693 to 0.739. Finally, a diagnostic panel with three TAAbs (anti-ZIC2, anti-CDC37L1, and anti-DUSP6) was developed. This panel showed superior diagnostic efficiency in identifying early HBV-HCC compared with alpha-fetoprotein (AFP), with an AUC of 0.834 [95% confidence interval (CI), 0.772-0.897] for this panel and 0.727 (95% CI, 0.642-0.812) for AFP (P = 0.0359). In addition, the AUC for this panel to identify AFP-negative patients with HBV-HCC was 0.796 (95% CI, 0.734-0.858), with a sensitivity of 52.4% and a specificity of 89.0%. Importantly, the panel in combination with AFP significantly increased the positive rate for early HBV-HCC to 84.1% (P = 0.005) and for late HBV-HCC to 96.3% (P < 0.001). Our findings suggest that AFP and the autoantibody panel may be independent but complementary serologic biomarkers for HBV-HCC detection. PREVENTION RELEVANCE We developed a robust diagnostic panel for identifying patients with HBV-HCC from patients with CHB. This autoantibody panel provided superior diagnostic performance for HBV-HCC at an early stage and/or with negative AFP results. Our findings suggest that AFP and the autoantibody panel may be independent but complementary biomarkers for HBV-HCC detection.
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MESH Headings
- Adult
- Female
- Humans
- Male
- Middle Aged
- alpha-Fetoproteins/analysis
- alpha-Fetoproteins/immunology
- Autoantibodies/blood
- Autoantibodies/immunology
- Biomarkers, Tumor/blood
- Biomarkers, Tumor/immunology
- Carcinoma, Hepatocellular/virology
- Carcinoma, Hepatocellular/diagnosis
- Carcinoma, Hepatocellular/immunology
- Carcinoma, Hepatocellular/blood
- Early Detection of Cancer/methods
- Enzyme-Linked Immunosorbent Assay
- Hepatitis B virus/immunology
- Hepatitis B virus/isolation & purification
- Hepatitis B, Chronic/immunology
- Hepatitis B, Chronic/virology
- Hepatitis B, Chronic/complications
- Hepatitis B, Chronic/blood
- Hepatitis B, Chronic/diagnosis
- Liver Neoplasms/virology
- Liver Neoplasms/diagnosis
- Liver Neoplasms/immunology
- Liver Neoplasms/blood
- Aged
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Affiliation(s)
- Yajing Shen
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
- The State Key Laboratory of Esophageal Cancer Prevention & Treatment and The Key Laboratory of Tumor Epidemiology of Henan, Zhengzhou, Henan, China
| | - Jiajun Chen
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Jinyu Wu
- Xi'an Center for Disease Control and Prevention, Xi'an, Shaanxi, China
| | - Tiandong Li
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
- The State Key Laboratory of Esophageal Cancer Prevention & Treatment and The Key Laboratory of Tumor Epidemiology of Henan, Zhengzhou, Henan, China
| | - Chuncheng Yi
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
- The State Key Laboratory of Esophageal Cancer Prevention & Treatment and The Key Laboratory of Tumor Epidemiology of Henan, Zhengzhou, Henan, China
| | - Keyan Wang
- The State Key Laboratory of Esophageal Cancer Prevention & Treatment and The Key Laboratory of Tumor Epidemiology of Henan, Zhengzhou, Henan, China
| | - Peng Wang
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
- The State Key Laboratory of Esophageal Cancer Prevention & Treatment and The Key Laboratory of Tumor Epidemiology of Henan, Zhengzhou, Henan, China
| | - Changqing Sun
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
- School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Hua Ye
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
- The State Key Laboratory of Esophageal Cancer Prevention & Treatment and The Key Laboratory of Tumor Epidemiology of Henan, Zhengzhou, Henan, China
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Wang Y, Ouyang S, Liu M, Si Q, Zhang X, Zhang X, Li J, Wang P, Ye H, Shi J, Song C, Wang K, Dai L. Humoral immune response to tumor-associated antigen Ubiquilin 1 (UBQLN1) and its tumor-promoting potential in lung cancer. BMC Cancer 2024; 24:283. [PMID: 38431566 PMCID: PMC10908023 DOI: 10.1186/s12885-024-12019-w] [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: 06/26/2023] [Accepted: 02/18/2024] [Indexed: 03/05/2024] Open
Abstract
BACKGROUND This study aims to investigate the expression of UBQLN1 in lung cancer (LC) tissue and the diagnostic capability of autoantibody to UBQLN1 (anti-UBQLN1) in the detection of LC and the discrimination of pulmonary nodules (PNs). METHODS Sera from 798 participants were used to discover and validate the level of autoantibodies via HuProt microarray and Enzyme-linked immunosorbent assay (ELISA). Logistic regression analysis was applied to establish model. Receiver operating characteristic curve (ROC) analysis was performed to evaluate the diagnostic potential. Immunohistochemistry was performed to detect UBQLN1 expression in 88 LC tissues and 88 para-tumor tissues. qRT-PCR and western blotting were performed to detect the expression of UBQLN1 at the mRNA and protein levels, respectively. Trans-well assay and cell counting kit-8 (CCK-8) was used to investigate the function of UBQLN1. RESULTS Anti-UBQLN1 was identified with the highest fold change by protein microarray. The level of anti-UBQLN1 in LC patients was obviously higher than that in NC or patients with benign lung disease of validation cohort 1 (P<0.05). The area under the curve (AUC) of anti-UBQLN1 was 0.610 (95%CI: 0.508-0.713) while reached at 0.822 (95%CI: 0.784-0.897) when combining anti-UBQLN1 with CEA, CYFRA21-1, CA125 and three CT indicators (vascular notch sign, lobulation sign and mediastinal lymph node enlargement) in the discrimination of PNs. UBQLN1 protein was overexpressed in lung adenocarcinoma (LUAD) tissues compared to para-tumor tissues. UBQLN1 knockdown remarkably inhibited the migration, invasion and proliferation of LUAD cell lines. CONCLUSIONS Anti-UBQLN1 might be a potential biomarker for the diagnosis of LC and the discrimination of PNs.
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Affiliation(s)
- Yulin Wang
- Henan Institute of Medical and Pharmaceutical Sciences & Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, Henan, 450052, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Songyun Ouyang
- Department of Respiratory and Sleep Medicine, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Man Liu
- Henan Institute of Medical and Pharmaceutical Sciences & Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, Henan, 450052, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan, 450052, China
- Laboratory of Molecular Biology, Henan Luoyang Orthopedic Hospital (Henan Provincial Orthopedic Hospital), Zhengzhou, China
| | - Qiufang Si
- Henan Institute of Medical and Pharmaceutical Sciences & Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, Henan, 450052, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Xue Zhang
- Henan Institute of Medical and Pharmaceutical Sciences & Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, Henan, 450052, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Xiuzhi Zhang
- Henan Institute of Medical and Pharmaceutical Sciences & Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Jiaqi Li
- Henan Institute of Medical and Pharmaceutical Sciences & Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, Henan, 450052, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Peng Wang
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Hua Ye
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Jianxiang Shi
- Henan Institute of Medical and Pharmaceutical Sciences & Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, Henan, 450052, China
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Chunhua Song
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Kaijuan Wang
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Liping Dai
- Henan Institute of Medical and Pharmaceutical Sciences & Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, Henan, 450052, China.
- Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, Henan, 450052, China.
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Li T, Wang P, Sun G, Zou Y, Cheng Y, Wang H, Lu Y, Shi J, Wang K, Zhang Q, Ye H. hccTAAb Atlas: An Integrated Knowledge Database for Tumor-Associated Autoantibodies in Hepatocellular Carcinoma. J Proteome Res 2024; 23:728-737. [PMID: 38156953 DOI: 10.1021/acs.jproteome.3c00579] [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] [Indexed: 01/03/2024]
Abstract
Tumor-associated autoantibodies (TAAbs) have demonstrated potential as biomarkers for cancer detection. However, the understanding of their role in hepatocellular carcinoma (HCC) remains limited. In this study, we aimed to systematically collect and standardize information about these TAAbs and establish a comprehensive database as a platform for in-depth research. A total of 170 TAAbs were identified from published papers retrieved from PubMed, Web of Science, and Embase. Following normative reannotation, these TAAbs were referred to as 162 official symbols. The hccTAAb (tumor-associated autoantibodies in hepatocellular carcinoma) atlas was developed using the R Shiny framework and incorporating literature-based and multiomics data sets. This comprehensive online resource provides key information such as sensitivity, specificity, and additional details such as official symbols, official full names, UniProt, NCBI, HPA, neXtProt, and aliases through hyperlinks. Additionally, hccTAAb offers six analytical modules for visualizing expression profiles, survival analysis, immune infiltration, similarity analysis, DNA methylation, and DNA mutation analysis. Overall, the hccTAAb Atlas provides valuable insights into the mechanisms underlying TAAb and has the potential to enhance the diagnosis and treatment of HCC using autoantibodies. The hccTAAb Atlas is freely accessible at https://nscc.v.zzu.edu.cn/hccTAAb/.
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Affiliation(s)
- Tiandong Li
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China
- Henan Key Laboratory of Tumor Epidemiology & State Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou 450052, China
| | - Peng Wang
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China
- Henan Key Laboratory of Tumor Epidemiology & State Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou 450052, China
| | - Guiying Sun
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China
- Henan Key Laboratory of Tumor Epidemiology & State Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou 450052, China
| | - Yuanlin Zou
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China
- Henan Key Laboratory of Tumor Epidemiology & State Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou 450052, China
| | - Yifan Cheng
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China
- Henan Key Laboratory of Tumor Epidemiology & State Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou 450052, China
| | - Han Wang
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China
- Henan Key Laboratory of Tumor Epidemiology & State Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou 450052, China
| | - Yin Lu
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China
- Henan Key Laboratory of Tumor Epidemiology & State Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou 450052, China
| | - Jianxiang Shi
- Henan Key Laboratory of Tumor Epidemiology & State Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou 450052, China
- Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450052, Henan Province, China
| | - Keyan Wang
- Henan Key Laboratory of Tumor Epidemiology & State Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou 450052, China
- Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450052, Henan Province, China
| | - Qiang Zhang
- School of Nursing and Health, Zhengzhou University, Zhengzhou 450001, China
| | - Hua Ye
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China
- Henan Key Laboratory of Tumor Epidemiology & State Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou 450052, China
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4
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Sun G, Ye H, Liu H, Li T, Li J, Zhang X, Cheng Y, Wang K, Shi J, Dai L, Wang P. ZPR1 is an immunodiagnostic biomarker and promotes tumor progression in esophageal squamous cell carcinoma. Cancer Sci 2024; 115:70-82. [PMID: 37964506 PMCID: PMC10823283 DOI: 10.1111/cas.16004] [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: 06/11/2023] [Revised: 10/10/2023] [Accepted: 10/12/2023] [Indexed: 11/16/2023] Open
Abstract
To evaluate the potential of zinc finger protein 1 (ZPR1) as a diagnostic biomarker and explore the underlying role for esophageal squamous cell carcinoma (ESCC). A human proteome microarray was customized to identify anti-ZPR1 autoantibody, and enzyme-linked immunosorbent assay (ELISA) was adopted to assess the diagnostic performance of anti-ZPR1 autoantibody in 294 patients with ESCC and 294 normal controls. The expression of ZPR1 protein was measured by immunohistochemistry. The effect of ZPR1 on the proliferation, migration, and invasion of ESCC cells was investigated through CCK-8, wound healing, and Transwell assays. The expression level of anti-ZPR1 autoantibody (fold change = 2.77) in ESCC patients was higher than that in normal controls. The receiver operating characteristic (ROC) analysis manifested anti-ZPR1 autoantibody achieved area under the ROC curve (AUC) of 0.726 and 0.734 to distinguish ESCC from normal controls with sensitivity of 50.0% and 42.3%, and specificity of 91.0% and 92.0% in the test group and validation group, respectively. The positive rate of ZPR1 protein was significantly higher in ESCC tissues (75.5%, 80/106) than paracancerous tissues (9.4%, 5/53). Compared with the human normal esophageal cell line, the expression level of ZPR1 mRNA and protein in ESCC lines (KYSE150, Eca109, and TE1) had an increased trend. The knockdown or overexpression of ZPR1 reduced and enhanced the proliferation, migration, and invasion of ESCC cell, respectively. ZPR1 was a potential immunodiagnostic biomarker for noninvasive detection and could be a promotional factor in tumor progression of ESCC.
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Affiliation(s)
- Guiying Sun
- Department of Epidemiology and Statistics, College of Public HealthZhengzhou UniversityZhengzhouChina
- Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention and TreatmentZhengzhou UniversityZhengzhouChina
| | - Hua Ye
- Department of Epidemiology and Statistics, College of Public HealthZhengzhou UniversityZhengzhouChina
- Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention and TreatmentZhengzhou UniversityZhengzhouChina
| | - Huijuan Liu
- Scientific Research Department, The First Affiliated Hospital of Henan University of CMHenan University of Chinese MedicineZhengzhouChina
| | - Tiandong Li
- Department of Epidemiology and Statistics, College of Public HealthZhengzhou UniversityZhengzhouChina
- Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention and TreatmentZhengzhou UniversityZhengzhouChina
| | - Jiaxin Li
- Department of Epidemiology and Statistics, College of Public HealthZhengzhou UniversityZhengzhouChina
- Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention and TreatmentZhengzhou UniversityZhengzhouChina
| | - Xiaoyue Zhang
- Department of Epidemiology and Statistics, College of Public HealthZhengzhou UniversityZhengzhouChina
- Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention and TreatmentZhengzhou UniversityZhengzhouChina
| | - Yifan Cheng
- Department of Epidemiology and Statistics, College of Public HealthZhengzhou UniversityZhengzhouChina
- Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention and TreatmentZhengzhou UniversityZhengzhouChina
| | - Keyan Wang
- Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention and TreatmentZhengzhou UniversityZhengzhouChina
- Henan Institute of Medical and Pharmaceutical SciencesZhengzhou UniversityZhengzhouChina
| | - Jianxiang Shi
- Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention and TreatmentZhengzhou UniversityZhengzhouChina
- Henan Institute of Medical and Pharmaceutical SciencesZhengzhou UniversityZhengzhouChina
| | - Liping Dai
- Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention and TreatmentZhengzhou UniversityZhengzhouChina
- Henan Institute of Medical and Pharmaceutical SciencesZhengzhou UniversityZhengzhouChina
| | - Peng Wang
- Department of Epidemiology and Statistics, College of Public HealthZhengzhou UniversityZhengzhouChina
- Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention and TreatmentZhengzhou UniversityZhengzhouChina
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Su Y, Lu Y, An H, Liu J, Ye F, Shen J, Ni Z, Huang B, Lin J. MicroRNA-204-5p Inhibits Hepatocellular Carcinoma by Targeting the Regulator of G Protein Signaling 20. ACS Pharmacol Transl Sci 2023; 6:1817-1828. [PMID: 38093845 PMCID: PMC10714421 DOI: 10.1021/acsptsci.3c00114] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 10/08/2023] [Accepted: 10/12/2023] [Indexed: 03/14/2024]
Abstract
Although the oncogenic roles of regulator of G protein signaling 20 (RGS20) and its upstream microRNAs (miRNAs) have been reported, their involvement in hepatocellular carcinoma (HCC) remains unexplored. We utilized the starBase, miRDB, TargetScan, and mirDIP databases, along with a dual-luciferase reporter assay and cDNA chip analysis to identify miRNAs targeting RGS20. miR-204-5p was selected for further experiments to confirm its direct targeting and downregulation of the RGS20 expression. To study the miR-204-5p/RGS20 axis in HCC, RGS20 and miR-204-5p were increased in PLC/PRF/5/Hep3B cells, and the viability, hyperplasia, apoptosis, cell cycle, and invasion/migration of the cells were assessed. RGS20 exhibited optimism, while miR-204-5p exhibited pessimism in tumors. miR-204-5p directly targeted RGS20 and downregulated its expression, whereas high RGS20 expression indicated a poor prognosis. Transfection of miR-204-5p inhibited the hyperplasia, migration, and invasion of HCC cells, but promoted apoptosis and influenced the levels of cyclin-dependent kinase 2 (CDK2), cyclin E1, B-cell lymphoma-2 (Bcl-2), Bax, and cleaved caspase-3/8. These effects were reversed by overexpression of RGS20. We recognized miR-204-5p as an upstream regulator targeting RGS20, thereby inhibiting HCC progression by downregulating RGS20 expression. RGS20 may prove to be a potential target for HCC treatment, and miR-204-5p might seem like to be a potential miRNA in gene therapy.
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Affiliation(s)
- Yanqing Su
- Department
of Pharmacy, Xiamen Children’s Hospital, Xiamen, Fujian 361006, China
- Academy
of Integrative Medicine of Fujian University of Traditional Chinese
Medicine, Fuzhou, Fujian 350122, China
| | - Yao Lu
- Academy
of Integrative Medicine of Fujian University of Traditional Chinese
Medicine, Fuzhou, Fujian 350122, China
- Hebei
Provincial Hospital of Traditional Chinese Medicine, Shijiazhuang, Hebei 050011, China
| | - Honglin An
- Academy
of Integrative Medicine of Fujian University of Traditional Chinese
Medicine, Fuzhou, Fujian 350122, China
| | - Jinhong Liu
- Academy
of Integrative Medicine of Fujian University of Traditional Chinese
Medicine, Fuzhou, Fujian 350122, China
- Fujian
Key Laboratory of Integrative Medicine on Geriatrics, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, China
- Key
Laboratory of Integrative Medicine of Fujian Province University, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, China
| | - Feimin Ye
- Academy
of Integrative Medicine of Fujian University of Traditional Chinese
Medicine, Fuzhou, Fujian 350122, China
| | - Jiayu Shen
- Academy
of Integrative Medicine of Fujian University of Traditional Chinese
Medicine, Fuzhou, Fujian 350122, China
| | - Zhuona Ni
- Academy
of Integrative Medicine of Fujian University of Traditional Chinese
Medicine, Fuzhou, Fujian 350122, China
| | - Bin Huang
- Academy
of Integrative Medicine of Fujian University of Traditional Chinese
Medicine, Fuzhou, Fujian 350122, China
- Fujian
Key Laboratory of Integrative Medicine on Geriatrics, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, China
- Key
Laboratory of Integrative Medicine of Fujian Province University, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, China
| | - Jiumao Lin
- Academy
of Integrative Medicine of Fujian University of Traditional Chinese
Medicine, Fuzhou, Fujian 350122, China
- Fujian
Key Laboratory of Integrative Medicine on Geriatrics, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, China
- Key
Laboratory of Integrative Medicine of Fujian Province University, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, China
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Sun G, Ye H, Yang Q, Zhu J, Qiu C, Shi J, Dai L, Wang K, Zhang J, Wang P. Using Proteome Microarray and Gene Expression Omnibus Database to Screen Tumour-Associated Antigens to Construct the Optimal Diagnostic Model of Oesophageal Squamous Cell Carcinoma. Clin Oncol (R Coll Radiol) 2023; 35:e582-e592. [PMID: 37433700 DOI: 10.1016/j.clon.2023.06.014] [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: 11/21/2022] [Revised: 05/09/2023] [Accepted: 06/30/2023] [Indexed: 07/13/2023]
Abstract
AIMS Autoantibodies against tumour-associated antigens (TAAs) are promising biomarkers for early immunodiagnosis of cancers. This study was designed to screen and verify autoantibodies against TAAs in sera as diagnostic biomarkers for oesophageal squamous cell carcinoma (ESCC). MATERIALS AND METHODS The customised proteome microarray based on cancer driver genes and the Gene Expression Omnibus database were used to identify potential TAAs. The expression levels of the corresponding autoantibodies in serum samples obtained from 243 ESCC patients and 243 healthy controls were investigated by enzyme-linked immunosorbent assay (ELISA). In total, 486 serum samples were randomly divided into the training set and the validation set in the ratio of 2:1. Logistic regression analysis, recursive partition analysis and support vector machine were performed to establish different diagnostic models. RESULTS Five and nine candidate TAAs were screened out by proteome microarray and bioinformatics analysis, respectively. Among these 14 anti-TAAs autoantibodies, the expression level of nine (p53, PTEN, GNA11, SRSF2, CXCL8, MMP1, MSH6, LAMC2 and SLC2A1) anti-TAAs autoantibodies in the cancer patient group was higher than that in the healthy control group based on the results from ELISA. In the three constructed models, a logistic regression model including four anti-TAA autoantibodies (p53, SLC2A1, GNA11 and MMP1) was considered to be the optimal diagnosis model. The sensitivity and specificity of the model in the training set and the validation set were 70.4%, 72.8% and 67.9%, 67.9%, respectively. The area under the receiver operating characteristic curve for detecting early patients in the training set and the validation set were 0.84 and 0.85, respectively. CONCLUSIONS This approach to screen novel TAAs is feasible, and the model including four autoantibodies could pave the way for the diagnosis of ESCC.
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Affiliation(s)
- G Sun
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan Province, China; Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan Province, China
| | - H Ye
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan Province, China; Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan Province, China
| | - Q Yang
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan Province, China; Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan Province, China
| | - J Zhu
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan Province, China; Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan Province, China
| | - C Qiu
- Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan Province, China
| | - J Shi
- Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan Province, China; Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan Province, China
| | - L Dai
- Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan Province, China; Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan Province, China
| | - K Wang
- Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan Province, China; Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan Province, China
| | - J Zhang
- Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan Province, China; Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan Province, China
| | - P Wang
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan Province, China; Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan Province, China.
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Ding J, Zhang H, Hua B, Feng C, Yang M, Ding X, Yang C. Frequency specificity in the amplitude of low frequency oscillations in patients with white matter lesions. J Clin Neurosci 2023; 113:86-92. [PMID: 37229795 DOI: 10.1016/j.jocn.2023.05.011] [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: 04/06/2023] [Revised: 05/12/2023] [Accepted: 05/16/2023] [Indexed: 05/27/2023]
Abstract
Previous studies have reported that patients with white matter lesions (WMLs) have abnormal spontaneous brain activity in the resting state. However, the spontaneous neuronal activity of specific frequency bands in WMLs patients is unknown. Here, we included 16 WMLs patients and 13 gender and age-matched healthy controls (HCs) underwent resting-state magnetic resonance imaging (rs-fMRI) scan and studied the specificity of the amplitude of low-frequency fluctuations (ALFF) in WMLs patients in the slow-5 (0.01-0.027 Hz), slow-4 (0.027-0.073 Hz), and typical (0.01-0.08 Hz) frequency bands. In addition, ALFF values of different frequency bands were extracted as classification features and support vector machines (SVM) were used to classify WMLs patients. In all three frequency bands, significant increases in ALFF values in WMLs patients were observed in the cerebellum. In the slow-5 band, the ALFF values of the left anterior cingulate and paracingulate gyri (ACG), and the right precentral gyrus, rolandic operculum and inferior temporal gyrus in WMLs patients were lower than those in HCs. In the slow-4 band, ALFF values were lower in WMLs patients than in HCs at the left ACG, the right median cingulate and paracingulate gyri, parahippocampal gyrus, caudate nucleus, and the bilateral lenticular nucleus, putamen. In the SVM classification model, the classification accuracy of slow-5, slow-4 and typical frequency bands is 75.86%, 86.21% and 72.41%, respectively. The results indicate that the ALFF abnormalities in WMLs patients have frequency specificity, and the ALFF abnormalities in the slow-4 frequency band may serve as imaging markers for WMLs.
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Affiliation(s)
- Jurong Ding
- School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, PR China; Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science & Engineering, Zigong, PR China.
| | - Hui Zhang
- School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, PR China; Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science & Engineering, Zigong, PR China
| | - Bo Hua
- School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, PR China; Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science & Engineering, Zigong, PR China
| | - Chenyu Feng
- School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, PR China; Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science & Engineering, Zigong, PR China
| | - Mei Yang
- School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, PR China; Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science & Engineering, Zigong, PR China
| | - Xin Ding
- Department of Neurology, Chengdu Second People's Hospital, Chengdu, PR China.
| | - Chenghao Yang
- Department of Neurosurgery, Zigong Fourth People's Hospital, Zigong, PR China
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8
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Zhang YH, Chen XL, Wang YR, Hou YW, Zhang YD, Wang KJ. Prevention of malignant digestive system tumors should focus on the control of chronic inflammation. World J Gastrointest Oncol 2023; 15:389-404. [PMID: 37009320 PMCID: PMC10052658 DOI: 10.4251/wjgo.v15.i3.389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 01/17/2023] [Accepted: 02/07/2023] [Indexed: 03/14/2023] Open
Abstract
Chronic inflammation, through a variety of mechanisms, plays a key role in the occurrence and development of digestive system malignant tumors (DSMTs). In this study, we feature and provide a comprehensive understanding of DSMT prevention strategies based on preventing or controlling chronic inflammation. The development and evaluation of cancer prevention strategies is a longstanding process. Cancer prevention, especially in the early stage of life, should be emphasized throughout the whole life course. Issues such as the time interval for colon cancer screening, the development of direct-acting antiviral drugs for liver cancer, and the Helicobacter pylori vaccine all need to be explored in long-term, large-scale experiments in the future.
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Affiliation(s)
- Yue-Hua Zhang
- College of Public Health, Zhengzhou University, Zhengzhou 450001, Henan Province, China
- Henan International Joint Laboratory of Prevention and Treatment of Pediatric Diseases, Henan Children's Hospital Zhengzhou Children’s Hospital, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou 450018, Henan Province, China
| | - Xiao-Lin Chen
- Department of Prenatal Diagnosis Center, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan Province, China
| | - Yi-Ran Wang
- Henan International Joint Laboratory of Prevention and Treatment of Pediatric Diseases, Henan Children's Hospital Zhengzhou Children’s Hospital, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou 450018, Henan Province, China
| | - Yu-Wei Hou
- Henan International Joint Laboratory of Prevention and Treatment of Pediatric Diseases, Henan Children's Hospital Zhengzhou Children’s Hospital, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou 450018, Henan Province, China
| | - Yao-Dong Zhang
- Henan International Joint Laboratory of Prevention and Treatment of Pediatric Diseases, Henan Children's Hospital Zhengzhou Children’s Hospital, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou 450018, Henan Province, China
| | - Kai-Juan Wang
- Henan International Joint Laboratory of Prevention and Treatment of Pediatric Diseases, Henan Children's Hospital Zhengzhou Children’s Hospital, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou 450018, Henan Province, China
- Henan Children’s Hospital Zhengzhou Children’s Hospital, Children’s Hospital Affiliated to Zhengzhou University, Key Laboratory of Tumor Epidemiology of Henan Province, State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou 450001, Henan Province, China
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Autoantibodies to PAX5, PTCH1, and GNA11 as Serological Biomarkers in the Detection of Hepatocellular Carcinoma in Hispanic Americans. Int J Mol Sci 2023; 24:ijms24043721. [PMID: 36835134 PMCID: PMC9959316 DOI: 10.3390/ijms24043721] [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: 01/09/2023] [Revised: 02/07/2023] [Accepted: 02/10/2023] [Indexed: 02/16/2023] Open
Abstract
Studies have demonstrated that autoantibodies to tumor-associated antigens (TAAs) may be used as efficient biomarkers with low-cost and highly sensitive characteristics. In this study, an enzyme-linked immunosorbent assay (ELISA) was conducted to analyze autoantibodies to paired box protein Pax-5 (PAX5), protein patched homolog 1 (PTCH1), and guanine nucleotide-binding protein subunit alpha-11 (GNA11) in sera from Hispanic Americans including hepatocellular carcinoma (HCC) patients, patients with liver cirrhosis (LC), patients with chronic hepatitis (CH), as well as normal controls. Meanwhile, 33 serial sera from eight HCC patients before and after diagnosis were used to explore the potential of these three autoantibodies as early biomarkers. In addition, an independent non-Hispanic cohort was used to evaluate the specificity of these three autoantibodies. In the Hispanic cohort, at the 95.0% specificity for healthy controls, 52.0%, 44.0%, and 44.0% of HCC patients showed significantly elevated levels of autoantibodies to PAX5, PTCH1, and GNA11, respectively. Among patients with LC, the frequencies for autoantibodies to PAX5, PTCH1, and GNA11 were 32.1%, 35.7%, and 25.0%, respectively. The area under the ROC curves (AUCs) of autoantibodies to PAX5, PTCH1, and GNA11 for identifying HCC from healthy controls were 0.908, 0.924, and 0.913, respectively. When these three autoantibodies were combined as a panel, the sensitivity could be improved to 68%. The prevalence of PAX5, PTCH1, and GNA11 autoantibodies has already occurred in 62.5%, 62.5%, or 75.0% of patients before clinical diagnosis, respectively. In the non-Hispanic cohort, autoantibodies to PTCH1 showed no significant difference; however, autoantibodies to PAX5, PTCH1, and GNA11 showed potential value as biomarkers for early detection of HCC in the Hispanic population and they may monitor the transition of patients with high-risk (LC, CH) to HCC. Using a panel of the three anti-TAA autoantibodies may enhance the detection of HCC.
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Sabotta CM, Kwan SY, Petty LE, Below JE, Joon A, Wei P, Fisher-Hoch SP, McCormick JB, Beretta L. Genetic variants associated with circulating liver injury markers in Mexican Americans, a population at risk for non-alcoholic fatty liver disease. Front Genet 2022; 13:995488. [PMID: 36386790 PMCID: PMC9644071 DOI: 10.3389/fgene.2022.995488] [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: 07/15/2022] [Accepted: 10/10/2022] [Indexed: 02/03/2023] Open
Abstract
Objective: Mexican Americans are disproportionally affected by non-alcoholic fatty liver disease (NAFLD), liver fibrosis and hepatocellular carcinoma. Noninvasive means to identify those in this population at high risk for these diseases are urgently needed. Approach: The Cameron County Hispanic Cohort (CCHC) is a population-based cohort with high rates of obesity (51%), type 2 diabetes (28%) and NAFLD (49%). In a subgroup of 564 CCHC subjects, we evaluated 339 genetic variants previously reported to be associated with liver injury markers aspartate aminotransferase (AST) and alanine aminotransferase (ALT) in United Kingdom and Japanese cohorts. Results: Association was confirmed for 86 variants. Among them, 27 had higher effect allele frequency in the CCHC than in the United Kingdom and Japanese cohorts, and 16 had stronger associations with AST and ALT than rs738409 (PNPLA3). These included rs17710008 (MYCT1), rs2519093 (ABO), rs1801690 (APOH), rs10409243 (S1PR2), rs1800759 (LOC100507053) and rs2491441 (RGL1), which were also associated with steatosis and/or liver fibrosis measured by vibration-controlled transient elastography. Main contributors to advanced fibrosis risk were rs11240351 (CNTN2), rs1800759 (LOC100507053), rs738409 (PNPLA3) and rs1801690 (APOH), with advanced fibrosis detected in 37.5% of subjects with 3 of these 4 variants [AOR = 11.6 (95% CI) = 3.8-35.3]. AST- and ALT-associated variants implicated distinct pathways (ethanol and galactose degradation versus antigen presentation and B cell development). Finally, 8 variants, including rs62292950 (DNAJC13), were associated with gut microbiome changes. Conclusion: These genotype-phenotype findings may have utility in risk modeling and disease prevention in this high-risk population.
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Affiliation(s)
- Caroline M. Sabotta
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Suet-Ying Kwan
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Lauren E. Petty
- Vanderbilt Genetics Institute and Department of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Jennifer E. Below
- Vanderbilt Genetics Institute and Department of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Aron Joon
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Peng Wei
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Susan P. Fisher-Hoch
- School of Public Health, University of Texas Health Science Center at Houston, Brownsville Regional Campus, Brownsville, TX, United States
| | - Joseph B. McCormick
- School of Public Health, University of Texas Health Science Center at Houston, Brownsville Regional Campus, Brownsville, TX, United States
| | - Laura Beretta
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
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Regulator of G Protein Signaling 20 Correlates with Long Intergenic Non-Coding RNA (lincRNAs) Harboring Oncogenic Potential and Is Markedly Upregulated in Hepatocellular Carcinoma. BIOLOGY 2022; 11:biology11081174. [PMID: 36009801 PMCID: PMC9405539 DOI: 10.3390/biology11081174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 07/14/2022] [Accepted: 07/28/2022] [Indexed: 11/17/2022]
Abstract
Hepatocellular carcinoma (HCC) is at the forefront of the global cancer burden, and biomarkers for HCC are constantly being sought. Interestingly, RGS (Regulators of G protein signaling) proteins, which negatively regulate GPCR signaling, have been associated with various cancers, with some members of the RGS family being associated with liver cancer as well. Considering this, we investigated the role of RGS20 as a potential prognostic marker in 28 different cancer types with special emphasis on HCC. By using the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) data, our analysis revealed that (a) RGS20 was strongly upregulated in tumor tissue compared with adjacent normal tissue of HCC patients; (b) RGS20 was strongly associated with some important clinical parameters such as alpha-fetoprotein and tumor grade in the HCC patients; (c) besides HCC (p < 0.001), RGS20 was found to be an important factor for survival in four other cancers (clear renal cell carcinoma: p < 0.001, lung adenocarcinoma: p = 0.004, mesothelioma: p = 0.039, ovarian serous cystadenocarcinoma: p = 0.048); (d) RGS20 was found to be significantly associated with some tumor-related signaling pathways and long intergenic non-coding RNAs (lincRNAs: LINC00511, PVT1, MIR4435-2HG, BCYRN1, and MAPKAPK5-AS1) that exhibit oncogenic potential. Taken together, we showed that RGS20 correlates with a few HCC-associated lincRNAs harboring oncogenic potential and is markedly upregulated in HCC patients. Our analysis further supports the putative function of RGS proteins, particularly RGS20, in cancer.
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