DSC2作为局部晚期喉部和下咽鳞状细胞癌诱导化疗敏感性的关键生物标志物的鉴定

IF 5.3 2区 化学 Q1 CHEMISTRY, MEDICINAL
Qianyue Yang, Jiayi Liu, Zhiwei Lin, Shuang Liu, Zhaoming Hu, Xiaowen Zhang, Baoqing Sun
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引用次数: 0

摘要

局部晚期喉部和下咽鳞状细胞癌(LA-LHSCC)患者在传统手术和放化疗后喉部功能严重受损,迫切需要精确的治疗策略来改善预后。本研究重点研究诱导化疗敏感性(IC)的机制,整合GSE184072和TCGA-HNSC数据集筛选差异表达基因(DEGs)。结合加权基因共表达网络分析(WGCNA)和机器学习方法,包括MCC、MCODE、LASSO、SVM-RFE和Random Forest (RF),鉴定核心基因DSC2 (desmocolin -2)。结果显示,DSC2在ic敏感组显著高表达,受试者工作特征(ROC)曲线下面积(AUC)为0.9111,表明其作为生物标志物具有较高的预测功效。免疫浸润分析进一步揭示了DSC2与M1巨噬细胞等免疫细胞浸润水平之间的显著相关性,提示其可能通过调节细胞凋亡和免疫微环境影响IC敏感性。此外,TCGA临床数据验证了DSC2表达与患者生存率之间的相关性。我们的研究首次确立了DSC2作为LA-LHSCC患者IC敏感性的关键生物标志物,为开发靶向治疗策略和个性化诊断和治疗提供了新的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of DSC2 as a Key Biomarker for Induction Chemotherapy Sensitivity in Locally Advanced Laryngeal and Hypopharyngeal Squamous Cell Carcinoma.

Patients with locally advanced laryngeal and hypopharyngeal squamous cell carcinoma (LA-LHSCC) urgently need precise treatment strategies to improve the prognosis due to severe laryngeal functional impairment following traditional surgery and chemoradiotherapy. This study focuses on the mechanism of sensitivity to induction chemotherapy (IC), integrating the GSE184072 and TCGA-HNSC data sets to screen for differentially expressed genes (DEGs). Combining weighted gene coexpression network analysis (WGCNA) and machine learning methods, including MCC, MCODE, LASSO, SVM-RFE, and Random Forest (RF), the core gene DSC2 (Desmocollin-2) was identified. The results show that DSC2 is significantly highly expressed in the IC-sensitive group with a receiver operating characteristic (ROC) curve area under the curve (AUC) of 0.9111, indicating its high predictive efficacy as a biomarker. Immune infiltration analysis further revealed a significant correlation between DSC2 and the infiltration levels of immune cells such as M1 macrophages, suggesting its potential to influence IC sensitivity by regulating apoptosis and the immune microenvironment. Furthermore, the TCGA clinical data validated the correlation between DSC2 expression and patient survival rates. Our study is the first to establish DSC2 as a pivotal biomarker for IC sensitivity in LA-LHSCC patients, offering a novel avenue for the development of targeted therapeutic strategies and personalized diagnosis and treatment.

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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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