{"title":"PCDHGA10 as a Potential Biomarker of Lung Squamous Cell Carcinoma Based on Bioinformatics and Experimental Verification.","authors":"Shuming Song, Ruijiao Lu, Yuanya Chen, Yangchun Feng","doi":"10.1007/s12033-024-01178-7","DOIUrl":null,"url":null,"abstract":"<p><p>Procalcitonin gamma subfamily A, 10 (PCDHGA10) is a member of the procalcitonin gamma gene cluster, which is associated with neuronal synapse development. However, there are lack of studies on the role and potential prognostic value of PCDHGA10 in lung squamous cell carcinoma (LUSC). We analyzed the RNAseq data of PCDHGA10 to compare their expression differences. Then survival analysis, tumor microenvironment (TME) analysis, and mutation analysis were carried out. Additionally, we performed gene ontology (GO) and kyoto gene encyclopedia (KEGG) enrichment analyses to explore potential signal pathways. PCDHGA10 protein expression was evaluated using immunohistochemistry (IHC) on tissue microarrays (HLugS180Su02). By microarray analysis and database analysis, we found that PCDHGA10 was significantly highly expressed in LUSC. Sufferers with elevated PCDHGA10 levels exhibited a worse prognosis, according to the survival analysis. The PCDHGA10 mutation was also linked to LUSC patient prognosis. Besides, PCDHGA10 was closely related to tumor immune cell infiltration and immune checkpoints. In conclusion, PCDHGA10 is expected to become a new molecular marker for LUSC.</p>","PeriodicalId":18865,"journal":{"name":"Molecular Biotechnology","volume":" ","pages":"2002-2022"},"PeriodicalIF":2.4000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular Biotechnology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s12033-024-01178-7","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/5/10 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Procalcitonin gamma subfamily A, 10 (PCDHGA10) is a member of the procalcitonin gamma gene cluster, which is associated with neuronal synapse development. However, there are lack of studies on the role and potential prognostic value of PCDHGA10 in lung squamous cell carcinoma (LUSC). We analyzed the RNAseq data of PCDHGA10 to compare their expression differences. Then survival analysis, tumor microenvironment (TME) analysis, and mutation analysis were carried out. Additionally, we performed gene ontology (GO) and kyoto gene encyclopedia (KEGG) enrichment analyses to explore potential signal pathways. PCDHGA10 protein expression was evaluated using immunohistochemistry (IHC) on tissue microarrays (HLugS180Su02). By microarray analysis and database analysis, we found that PCDHGA10 was significantly highly expressed in LUSC. Sufferers with elevated PCDHGA10 levels exhibited a worse prognosis, according to the survival analysis. The PCDHGA10 mutation was also linked to LUSC patient prognosis. Besides, PCDHGA10 was closely related to tumor immune cell infiltration and immune checkpoints. In conclusion, PCDHGA10 is expected to become a new molecular marker for LUSC.
期刊介绍:
Molecular Biotechnology publishes original research papers on the application of molecular biology to both basic and applied research in the field of biotechnology. Particular areas of interest include the following: stability and expression of cloned gene products, cell transformation, gene cloning systems and the production of recombinant proteins, protein purification and analysis, transgenic species, developmental biology, mutation analysis, the applications of DNA fingerprinting, RNA interference, and PCR technology, microarray technology, proteomics, mass spectrometry, bioinformatics, plant molecular biology, microbial genetics, gene probes and the diagnosis of disease, pharmaceutical and health care products, therapeutic agents, vaccines, gene targeting, gene therapy, stem cell technology and tissue engineering, antisense technology, protein engineering and enzyme technology, monoclonal antibodies, glycobiology and glycomics, and agricultural biotechnology.