Mingjun Zhang, Qi Sun, Yisong Yao, Xi Chen, Jiaxuan Li, Ting Yuan, Yakui Mou, Yumei Li, Xicheng Song
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Among them, those genes expressed in patients with head and neck squamous cell carcinoma (HNSCC) identified in The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) atlas were employed to screen for genes associated with HNSCC prognosis using univariate Cox analysis, least absolute shrinkage and selection operator (LASSO) regression analysis, and a TILB-related signature was constructed to predict patient prognostic risk using multivariate Cox regression analyses. <b>Results:</b> The constructed TILB-related signature, which comprised seven mRNAs (<i>ZNF439</i>, <i>KMO</i>, <i>KDM5D</i>, <i>IFT57</i>, <i>HDAC9</i>, <i>GSAP</i>, and <i>CCR</i>7), was verified to have a good ability to predict the prognosis of patients with HNSCC using three independent validation datasets from GEO, and the predictive ability was not affected by other factors. The signature reflected the state of immune cell infiltration in tumor tissue, especially B cells, patients with higher risk scores (RSs) had fewer infiltrating immune cells in their tumors, especially B cells. The gene expression of the TILB-related signature was also verified in TILBs from HNSCC using single-cell analysis, revealing that TILB-related marker genes were differentially expressed in different GB cell subsets. <b>Discussion:</b> This study provides risk assessment and outcome prediction for patients with HNSCC and provides potential targets for immunotherapy of HNSCC.</p>","PeriodicalId":15952,"journal":{"name":"Journal of Immunology Research","volume":"2025 ","pages":"9375885"},"PeriodicalIF":3.5000,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11944952/pdf/","citationCount":"0","resultStr":"{\"title\":\"Identification of a Prognostic Signature Based on Tumor-Infiltrating B Lymphocyte mRNA in Head and Neck Squamous Cell Carcinoma.\",\"authors\":\"Mingjun Zhang, Qi Sun, Yisong Yao, Xi Chen, Jiaxuan Li, Ting Yuan, Yakui Mou, Yumei Li, Xicheng Song\",\"doi\":\"10.1155/jimr/9375885\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Introduction:</b> Tumor-infiltrating B cells (TILBs) are an important part of the immune response during tumor regulation. 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Among them, those genes expressed in patients with head and neck squamous cell carcinoma (HNSCC) identified in The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) atlas were employed to screen for genes associated with HNSCC prognosis using univariate Cox analysis, least absolute shrinkage and selection operator (LASSO) regression analysis, and a TILB-related signature was constructed to predict patient prognostic risk using multivariate Cox regression analyses. <b>Results:</b> The constructed TILB-related signature, which comprised seven mRNAs (<i>ZNF439</i>, <i>KMO</i>, <i>KDM5D</i>, <i>IFT57</i>, <i>HDAC9</i>, <i>GSAP</i>, and <i>CCR</i>7), was verified to have a good ability to predict the prognosis of patients with HNSCC using three independent validation datasets from GEO, and the predictive ability was not affected by other factors. The signature reflected the state of immune cell infiltration in tumor tissue, especially B cells, patients with higher risk scores (RSs) had fewer infiltrating immune cells in their tumors, especially B cells. 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引用次数: 0
摘要
肿瘤浸润B细胞(tumor -浸润B cells, TILBs)是肿瘤调节过程中免疫应答的重要组成部分。然而,B细胞在免疫治疗中的意义尚未完全确定。方法:本研究通过比较B细胞与其他免疫细胞的基因表达,获得B细胞中高表达的基因,命名为tilb - mrna。其中,利用The Cancer Genome Atlas (TCGA)和Gene Expression Omnibus (GEO)图谱中发现的头颈部鳞状细胞癌(HNSCC)患者表达的基因,采用单因素Cox分析、最小绝对收缩和选择算子(LASSO)回归分析筛选HNSCC预后相关基因,并采用多因素Cox回归分析构建tilb相关特征,预测患者预后风险。结果:构建的tilb相关特征包括7个mrna (ZNF439、KMO、KDM5D、IFT57、HDAC9、GSAP和CCR7),使用GEO的3个独立验证数据集验证了该特征对HNSCC患者预后的良好预测能力,且预测能力不受其他因素的影响。该特征反映了免疫细胞在肿瘤组织中的浸润状态,尤其是B细胞,风险评分(RSs)越高的患者肿瘤中浸润的免疫细胞越少,尤其是B细胞。通过单细胞分析,我们还在HNSCC tilb中验证了tilb相关标记基因的表达,揭示了tilb相关标记基因在不同GB细胞亚群中的差异表达。讨论:本研究为HNSCC患者提供了风险评估和预后预测,并提供了HNSCC免疫治疗的潜在靶点。
Identification of a Prognostic Signature Based on Tumor-Infiltrating B Lymphocyte mRNA in Head and Neck Squamous Cell Carcinoma.
Introduction: Tumor-infiltrating B cells (TILBs) are an important part of the immune response during tumor regulation. However, the significance of B cells in immunotherapy has not been fully determined. Methods: In this study, highly expressed genes in B cells were obtained by comparing the gene expression in B cells with that in other immune cells and were named TILB-mRNAs. Among them, those genes expressed in patients with head and neck squamous cell carcinoma (HNSCC) identified in The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) atlas were employed to screen for genes associated with HNSCC prognosis using univariate Cox analysis, least absolute shrinkage and selection operator (LASSO) regression analysis, and a TILB-related signature was constructed to predict patient prognostic risk using multivariate Cox regression analyses. Results: The constructed TILB-related signature, which comprised seven mRNAs (ZNF439, KMO, KDM5D, IFT57, HDAC9, GSAP, and CCR7), was verified to have a good ability to predict the prognosis of patients with HNSCC using three independent validation datasets from GEO, and the predictive ability was not affected by other factors. The signature reflected the state of immune cell infiltration in tumor tissue, especially B cells, patients with higher risk scores (RSs) had fewer infiltrating immune cells in their tumors, especially B cells. The gene expression of the TILB-related signature was also verified in TILBs from HNSCC using single-cell analysis, revealing that TILB-related marker genes were differentially expressed in different GB cell subsets. Discussion: This study provides risk assessment and outcome prediction for patients with HNSCC and provides potential targets for immunotherapy of HNSCC.
期刊介绍:
Journal of Immunology Research is a peer-reviewed, Open Access journal that provides a platform for scientists and clinicians working in different areas of immunology and therapy. The journal publishes research articles, review articles, as well as clinical studies related to classical immunology, molecular immunology, clinical immunology, cancer immunology, transplantation immunology, immune pathology, immunodeficiency, autoimmune diseases, immune disorders, and immunotherapy.