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pmid:38737383
PVALB Was Identified as an Independent Prognostic Factor for HCC Closely Related to Immunity, and Its Absence Accelerates Tumor Progression by Regulating NK Cell Infiltration.
Yiyang Gong · Minqin Zhou · Yanting Zhu · Jingying Pan · Xuanrui Zhou · Yike Jiang · Hong Zeng · Hao Zheng · Xitong Geng · Da Huang
Journal of hepatocellular carcinoma · 2024 doi:10.2147/JHC.S450479
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Experiment
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Complete file
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Complex immune microenvironment of the liver is linked to the development of HCC. PVALB is a calcium-binding protein which has been described as a cancer suppressor gene in thyroid cancer and glioma. Nevertheless, the role of PVALB in HCC is unknown.\nMaterials and Methods: We obtained data from TCGA and GSE54236 datasets. MCP-counter, WGCNA and LASSO model were applied to identify PVALB. With UALCAN, MethSurv, and other websites, we probed the expression, methylation and survival of PVALB. LinkedOmics and GSEA were adopted for functional analysis, while TIMER, TISIDB, Kaplan-Meier plotter, TIDE databases were utilized to evaluate the relevance of PVALB to the tumor immune microenvironment and predict immunotherapy efficacy. TargetScan, DIANA, LncRNASNP2 databases and relevant experiments were employed to construct ceRNA network. Finally, molecular docking and drug sensitivity of PVALB were characterized by GeneMANIA, CTD, and so on.\nResults: PVALB was recognized as a gene associated with HCC and NK cell. Its expression was down-regulated in HCC tissue, which lead to adverse prognosis. Besides, the hypomethylation of PVALB was related to its reduced expression. Notably, PVALB was tightly linked to immune, and its reduced expression attenuated the anticancer effect of NK cells via the Fas/FasL pathway, leading to a adverse outcome. The lnc-YY1AP1-3/hsa-miR-6735-5p/PVALB axis may regulate the PVALB expression. Finally, we found immunotherapy might be a viable treatment option.\nConclusion: In a word, PVALB is a prognostic indicator, whose low expression facilitates HCC progression by impacting NK cell infiltration.", "claims": [{"id": "claim-method", "statement": "In this study, we have screened PVALB by Weighted Gene Co-expression Network Analysis (WGCNA) combined with Least Absolute Shrinkage and Selection Operator (LASSO) prognostic regression", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38737383", "locator": "sections[1] \"Introduction\" paragraph 4", "quote": "In this study, we have screened PVALB by Weighted Gene Co-expression Network Analysis (WGCNA) combined with Least Absolute Shrinkage and Selection Operator (LASSO) prognostic regression"}], "state": "complete"}, {"id": "claim-data-access", "statement": "Publicly available datasets were analyzed in this study. The data are accessible in TCGA and GEO databases. 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