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http://purl.uniprot.org/citations/36398067http://www.w3.org/1999/02/22-rdf-syntax-ns#typehttp://purl.uniprot.org/core/Journal_Citation
http://purl.uniprot.org/citations/36398067http://www.w3.org/2000/01/rdf-schema#comment"Liver hepatocellular carcinoma (LIHC) remains a lethal disease for humans. Immune checkpoint inhibitors (ICIs) targeting PD1/PD-L1 and CTLA4 offered new hopes for advanced-stage patients. Novel immune biomarkers and therapeutic targets are urgently needed. For the first time, we evaluated the expression and prognostic value of Layilin (LAYN) using in silico analyses and uncovered the carcinogenic role of LAYN in LIHC. The HCG18/hsa-mir-148a/LAYN axis was predicted as the upstream mechanism. Moreover, gene set enrichment analysis (GSEA) revealed that LAYN and its coexpressed genes primarily participated in immune response pathways, and LAYN expression was found significantly correlated with tumor immune cell infiltration in LIHC tissues. In general, our data provided evidence that HCG18/hsa-mir-148a-regulated high expression of LAYN is associated with immune cell infiltration and unfavorable prognosis of LIHC patients."xsd:string
http://purl.uniprot.org/citations/36398067http://purl.org/dc/terms/identifier"doi:10.1155/2022/5357114"xsd:string
http://purl.uniprot.org/citations/36398067http://purl.uniprot.org/core/author"Cheng L."xsd:string
http://purl.uniprot.org/citations/36398067http://purl.uniprot.org/core/author"Zhu L."xsd:string
http://purl.uniprot.org/citations/36398067http://purl.uniprot.org/core/author"Cao L."xsd:string
http://purl.uniprot.org/citations/36398067http://purl.uniprot.org/core/date"2022"xsd:gYear
http://purl.uniprot.org/citations/36398067http://purl.uniprot.org/core/name"Biomed Res Int"xsd:string
http://purl.uniprot.org/citations/36398067http://purl.uniprot.org/core/pages"5357114"xsd:string
http://purl.uniprot.org/citations/36398067http://purl.uniprot.org/core/title"ncRNA-Regulated LAYN Serves as a Prognostic Biomarker and Correlates with Immune Cell Infiltration in Hepatocellular Carcinoma: A Bioinformatics Analysis."xsd:string
http://purl.uniprot.org/citations/36398067http://purl.uniprot.org/core/volume"2022"xsd:string
http://purl.uniprot.org/citations/36398067http://www.w3.org/2004/02/skos/core#exactMatchhttp://purl.uniprot.org/pubmed/36398067
http://purl.uniprot.org/citations/36398067http://xmlns.com/foaf/0.1/primaryTopicOfhttps://pubmed.ncbi.nlm.nih.gov/36398067
http://purl.uniprot.org/uniprot/#_B4DDS5-mappedCitation-36398067http://www.w3.org/1999/02/22-rdf-syntax-ns#objecthttp://purl.uniprot.org/citations/36398067
http://purl.uniprot.org/uniprot/#_B4DP26-mappedCitation-36398067http://www.w3.org/1999/02/22-rdf-syntax-ns#objecthttp://purl.uniprot.org/citations/36398067
http://purl.uniprot.org/uniprot/#_Q6UX15-mappedCitation-36398067http://www.w3.org/1999/02/22-rdf-syntax-ns#objecthttp://purl.uniprot.org/citations/36398067
http://purl.uniprot.org/uniprot/B4DP26http://purl.uniprot.org/core/mappedCitationhttp://purl.uniprot.org/citations/36398067
http://purl.uniprot.org/uniprot/Q6UX15http://purl.uniprot.org/core/mappedCitationhttp://purl.uniprot.org/citations/36398067
http://purl.uniprot.org/uniprot/B4DDS5http://purl.uniprot.org/core/mappedCitationhttp://purl.uniprot.org/citations/36398067