Xia Li, Weiwei Chen, Shu Jiang, Lianlian Zhang, Hua Huang, Yanan Ji, Qinggan Ni, Chunhua Ling
{"title":"SCN4B的低表达可预测非小细胞肺癌的不良预后","authors":"Xia Li, Weiwei Chen, Shu Jiang, Lianlian Zhang, Hua Huang, Yanan Ji, Qinggan Ni, Chunhua Ling","doi":"10.2174/0115680096293516240607071915","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Sodium voltage-gated channel beta subunit 4 (SCN4B) plays a suppressive role in various tumors. However, the role of SCN4B in non-small cell lung cancer (NSCLC) is not yet clear. This study aims to investigate the expression of SCN4B in NSCLC patients and its correlation with prognosis.</p><p><strong>Methods: </strong>Firstly, the expression of SCN4B in non-small cell lung cancer (NSCLC) was analyzed using The Cancer Genome Atlas (TCGA) database. Then, differential expression genes (DEGs) were identified using R software. Next, DEG enrichment pathways were analyzed using the R package clusterProfiler. Protein-protein interaction networks were revealed through STRING analysis. A heatmap showed significant differential expression of SCN4B. Further analysis included examining SCN4B expression in a pan-cancer context and its correlation with 24 types of immune cells in NSCLC. Subsequently, quantitative real-time polymerase chain reaction (qRT-PCR), Western Blot, immunohistochemistry, and clinical data were used to validate SCN4B expression and prognostic value in NSCLC patients.</p><p><strong>Results: </strong>SCN4B mRNA expression in non-small cell lung cancer tissues was significantly lower than in adjacent normal tissues (p < 0.001). Clinical correlation analysis confirmed its association with clinical pathology. Gene set enrichment analysis (GSEA) and tumor immune-related analyses indicated that SCN4B is involved in NSCLC-related Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and participates in immune infiltration. qRT-PCR, Western Blot, and immunohistochemistry also confirmed that SCN4B is downregulated in NSCLC patients and is associated with poor prognosis.</p><p><strong>Conclusion: </strong>SCN4B is downregulated in tumor tissues of NSCLC patients and is associated with a poor prognosis.</p>","PeriodicalId":10816,"journal":{"name":"Current cancer drug targets","volume":" ","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Low Expression of SCN4B Predicts Poor Prognosis in Non-Small Cell Lung Cancer.\",\"authors\":\"Xia Li, Weiwei Chen, Shu Jiang, Lianlian Zhang, Hua Huang, Yanan Ji, Qinggan Ni, Chunhua Ling\",\"doi\":\"10.2174/0115680096293516240607071915\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Sodium voltage-gated channel beta subunit 4 (SCN4B) plays a suppressive role in various tumors. However, the role of SCN4B in non-small cell lung cancer (NSCLC) is not yet clear. This study aims to investigate the expression of SCN4B in NSCLC patients and its correlation with prognosis.</p><p><strong>Methods: </strong>Firstly, the expression of SCN4B in non-small cell lung cancer (NSCLC) was analyzed using The Cancer Genome Atlas (TCGA) database. Then, differential expression genes (DEGs) were identified using R software. Next, DEG enrichment pathways were analyzed using the R package clusterProfiler. Protein-protein interaction networks were revealed through STRING analysis. A heatmap showed significant differential expression of SCN4B. Further analysis included examining SCN4B expression in a pan-cancer context and its correlation with 24 types of immune cells in NSCLC. Subsequently, quantitative real-time polymerase chain reaction (qRT-PCR), Western Blot, immunohistochemistry, and clinical data were used to validate SCN4B expression and prognostic value in NSCLC patients.</p><p><strong>Results: </strong>SCN4B mRNA expression in non-small cell lung cancer tissues was significantly lower than in adjacent normal tissues (p < 0.001). Clinical correlation analysis confirmed its association with clinical pathology. Gene set enrichment analysis (GSEA) and tumor immune-related analyses indicated that SCN4B is involved in NSCLC-related Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and participates in immune infiltration. qRT-PCR, Western Blot, and immunohistochemistry also confirmed that SCN4B is downregulated in NSCLC patients and is associated with poor prognosis.</p><p><strong>Conclusion: </strong>SCN4B is downregulated in tumor tissues of NSCLC patients and is associated with a poor prognosis.</p>\",\"PeriodicalId\":10816,\"journal\":{\"name\":\"Current cancer drug targets\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2024-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current cancer drug targets\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2174/0115680096293516240607071915\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current cancer drug targets","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2174/0115680096293516240607071915","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
Low Expression of SCN4B Predicts Poor Prognosis in Non-Small Cell Lung Cancer.
Background: Sodium voltage-gated channel beta subunit 4 (SCN4B) plays a suppressive role in various tumors. However, the role of SCN4B in non-small cell lung cancer (NSCLC) is not yet clear. This study aims to investigate the expression of SCN4B in NSCLC patients and its correlation with prognosis.
Methods: Firstly, the expression of SCN4B in non-small cell lung cancer (NSCLC) was analyzed using The Cancer Genome Atlas (TCGA) database. Then, differential expression genes (DEGs) were identified using R software. Next, DEG enrichment pathways were analyzed using the R package clusterProfiler. Protein-protein interaction networks were revealed through STRING analysis. A heatmap showed significant differential expression of SCN4B. Further analysis included examining SCN4B expression in a pan-cancer context and its correlation with 24 types of immune cells in NSCLC. Subsequently, quantitative real-time polymerase chain reaction (qRT-PCR), Western Blot, immunohistochemistry, and clinical data were used to validate SCN4B expression and prognostic value in NSCLC patients.
Results: SCN4B mRNA expression in non-small cell lung cancer tissues was significantly lower than in adjacent normal tissues (p < 0.001). Clinical correlation analysis confirmed its association with clinical pathology. Gene set enrichment analysis (GSEA) and tumor immune-related analyses indicated that SCN4B is involved in NSCLC-related Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and participates in immune infiltration. qRT-PCR, Western Blot, and immunohistochemistry also confirmed that SCN4B is downregulated in NSCLC patients and is associated with poor prognosis.
Conclusion: SCN4B is downregulated in tumor tissues of NSCLC patients and is associated with a poor prognosis.
期刊介绍：
Current Cancer Drug Targets aims to cover all the latest and outstanding developments on the medicinal chemistry, pharmacology, molecular biology, genomics and biochemistry of contemporary molecular drug targets involved in cancer, e.g. disease specific proteins, receptors, enzymes and genes.
Current Cancer Drug Targets publishes original research articles, letters, reviews / mini-reviews, drug clinical trial studies and guest edited thematic issues written by leaders in the field covering a range of current topics on drug targets involved in cancer.
As the discovery, identification, characterization and validation of novel human drug targets for anti-cancer drug discovery continues to grow; this journal has become essential reading for all pharmaceutical scientists involved in drug discovery and development.
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