Identification of a Novel Immune-Gene Signature with Prognostic Value in Patients with Head and Neck Cancer: A Pilot Study.

IF 2.1 4区生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY

Biochemical Genetics Pub Date : 2025-01-08 DOI:10.1007/s10528-024-11017-8

Panagiota Batsaki, Sotirios P Fortis, Angelos D Gritzapis, Andriana Razou, Athanasios C Sakellaridis, Elisavet Grouzi, Dimitra Moschandreou, Michael I Koukourakis, Vassilios Zoumpourlis, Constantin N Baxevanis, Maria Goulielmaki

{"title":"Identification of a Novel Immune-Gene Signature with Prognostic Value in Patients with Head and Neck Cancer: A Pilot Study.","authors":"Panagiota Batsaki, Sotirios P Fortis, Angelos D Gritzapis, Andriana Razou, Athanasios C Sakellaridis, Elisavet Grouzi, Dimitra Moschandreou, Michael I Koukourakis, Vassilios Zoumpourlis, Constantin N Baxevanis, Maria Goulielmaki","doi":"10.1007/s10528-024-11017-8","DOIUrl":null,"url":null,"abstract":"<p><p>The tumor microenvironment has a significant input on prognosis and also for predicting clinical outcomes in various types of cancers. However, tumor tissue is not always available, thus, rendering peripheral blood a preferable alternative in the search for prognostic and predictive gene signatures. Head and neck squamous cell carcinoma (HNSCC) constitutes a quite heterogeneous disease characterized by poor prognosis. Therefore, the discovery of novel therapeutics based on prognostic gene signatures for effective disease governance is of paramount importance. In this study, we report for the first time an immune-gene signature identified in the peripheral blood of HNSCC patients comprising five genes (CLEC4C, IL23A, LCK, LY9, and CD19) which were more than threefold downregulated as compared to healthy individuals and were associated with poor prognosis. By performing analyses of HNSCC tumor samples from The Cancer Genome Atlas (TCGA) database, we discovered that decreased expression of these genes, both as single genes and as a 5-gene signature (5-GS), was significantly correlated with worse overall survival (OS). Our data show that the levels of expression of the 5-GS represent an immune profile predicting OS in patients with HNSCC.</p>","PeriodicalId":482,"journal":{"name":"Biochemical Genetics","volume":" ","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biochemical Genetics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s10528-024-11017-8","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

The tumor microenvironment has a significant input on prognosis and also for predicting clinical outcomes in various types of cancers. However, tumor tissue is not always available, thus, rendering peripheral blood a preferable alternative in the search for prognostic and predictive gene signatures. Head and neck squamous cell carcinoma (HNSCC) constitutes a quite heterogeneous disease characterized by poor prognosis. Therefore, the discovery of novel therapeutics based on prognostic gene signatures for effective disease governance is of paramount importance. In this study, we report for the first time an immune-gene signature identified in the peripheral blood of HNSCC patients comprising five genes (CLEC4C, IL23A, LCK, LY9, and CD19) which were more than threefold downregulated as compared to healthy individuals and were associated with poor prognosis. By performing analyses of HNSCC tumor samples from The Cancer Genome Atlas (TCGA) database, we discovered that decreased expression of these genes, both as single genes and as a 5-gene signature (5-GS), was significantly correlated with worse overall survival (OS). Our data show that the levels of expression of the 5-GS represent an immune profile predicting OS in patients with HNSCC.

查看原文本刊更多论文

鉴定一种具有头颈癌患者预后价值的新型免疫基因标记：一项初步研究。

肿瘤微环境对各种类型癌症的预后和预测临床结果具有重要的影响。然而，肿瘤组织并不总是可用的，因此，在寻找预后和预测基因特征时，外周血是一个更好的选择。头颈部鳞状细胞癌（HNSCC）是一种异质性很强的疾病，其特点是预后差。因此，发现基于预后基因特征的新型治疗方法对有效的疾病治理至关重要。在这项研究中，我们首次报道了在HNSCC患者外周血中发现的一种免疫基因特征，该特征包括五个基因（CLEC4C、IL23A、LCK、LY9和CD19），与健康个体相比，这些基因下调了三倍以上，并与不良预后相关。通过对来自癌症基因组图谱（TCGA）数据库的HNSCC肿瘤样本进行分析，我们发现这些基因的表达减少，无论是作为单个基因还是作为5基因特征（5-GS），都与总生存期（OS）的降低显著相关。我们的数据显示，5-GS的表达水平代表了预测HNSCC患者OS的免疫谱。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Biochemical Genetics 生物-生化与分子生物学

CiteScore

3.90

自引率

0.00%

发文量

133

审稿时长

4.8 months

期刊介绍： Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.