Young Wha Koh, Jae-Ho Han, Seokjin Haam, Hyun Woo Lee
{"title":"Immunosuppressive State May Lead to Brain Metastases in Lung Squamous Cell Carcinoma: Gene Expression and Immunohistochemical Analysis.","authors":"Young Wha Koh, Jae-Ho Han, Seokjin Haam, Hyun Woo Lee","doi":"10.21873/anticanres.17441","DOIUrl":null,"url":null,"abstract":"<p><strong>Background/aim: </strong>Brain metastases (BMs) are rare in lung squamous cell carcinoma (LUSC). Therefore, research on biomarkers or mechanisms that can be used to predict them is limited. To verify whether mRNA profiles can accurately predict BMs, we used a machine learning approach on 20 TNM-matched LUSC tissue samples.</p><p><strong>Materials and methods: </strong>We conducted pathway and immunohistochemical analyses to investigate the underlying mechanisms of BM.</p><p><strong>Results: </strong>A total of 15 mRNAs linked to BM were identified. The 15-mRNA signature was highly accurate in predicting BM, with an area under the curve and accuracy of 0.940 and 0.9, respectively. The pathway analysis revealed that immune-related pathways (leukocyte transendothelial migration, Fc gamma R-mediated phagocytosis, and natural killer cell-mediated cytotoxicity) were suppressed, suggesting that an immunosuppressive state may be involved in the development of BM. In the validation set confirmed by immunohistochemical staining, the BM group exhibited significantly lower levels of CD4+ T cells or CD8+ T cells than the group without BM. BM in patients with LUSC was associated with an immunosuppressive state.</p><p><strong>Conclusion: </strong>Immunotherapy may be effective in preventing BM in patients with LUSC.</p>","PeriodicalId":8072,"journal":{"name":"Anticancer research","volume":"45 2","pages":"525-534"},"PeriodicalIF":1.6000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anticancer research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.21873/anticanres.17441","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background/aim: Brain metastases (BMs) are rare in lung squamous cell carcinoma (LUSC). Therefore, research on biomarkers or mechanisms that can be used to predict them is limited. To verify whether mRNA profiles can accurately predict BMs, we used a machine learning approach on 20 TNM-matched LUSC tissue samples.
Materials and methods: We conducted pathway and immunohistochemical analyses to investigate the underlying mechanisms of BM.
Results: A total of 15 mRNAs linked to BM were identified. The 15-mRNA signature was highly accurate in predicting BM, with an area under the curve and accuracy of 0.940 and 0.9, respectively. The pathway analysis revealed that immune-related pathways (leukocyte transendothelial migration, Fc gamma R-mediated phagocytosis, and natural killer cell-mediated cytotoxicity) were suppressed, suggesting that an immunosuppressive state may be involved in the development of BM. In the validation set confirmed by immunohistochemical staining, the BM group exhibited significantly lower levels of CD4+ T cells or CD8+ T cells than the group without BM. BM in patients with LUSC was associated with an immunosuppressive state.
Conclusion: Immunotherapy may be effective in preventing BM in patients with LUSC.
期刊介绍：
ANTICANCER RESEARCH is an independent international peer-reviewed journal devoted to the rapid publication of high quality original articles and reviews on all aspects of experimental and clinical oncology. Prompt evaluation of all submitted articles in confidence and rapid publication within 1-2 months of acceptance are guaranteed.
ANTICANCER RESEARCH was established in 1981 and is published monthly (bimonthly until the end of 2008). Each annual volume contains twelve issues and index. Each issue may be divided into three parts (A: Reviews, B: Experimental studies, and C: Clinical and Epidemiological studies).
Special issues, presenting the proceedings of meetings or groups of papers on topics of significant progress, will also be included in each volume. There is no limitation to the number of pages per issue.
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