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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Publication Details

Journal
Journal of Chemical Information and Modeling
Published
2025-06-09
DOI
https://doi.org/10.1021/acs.jcim.5c00557
Primary Topic
Cancer-related molecular mechanisms research
Type
article
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article

Identification of DSC2 as a Key Biomarker for Induction Chemotherapy Sensitivity in Locally Advanced Laryngeal and Hypopharyngeal Squamous Cell Carcinoma

Zhaoming Hu, Xiaowen Zhang, Jiayi Liu, Qianyue Yang et al.
Journal of Chemical Information and Modeling
Cancer-related molecular mechanisms research
article

Identification of DSC2 as a Key Biomarker for Induction Chemotherapy Sensitivity in Locally Advanced Laryngeal and Hypopharyngeal Squamous Cell Carcinoma

Zhaoming Hu, Xiaowen Zhang, Jiayi Liu, Qianyue Yang, Shuang Liu, Zhiwei Lin, Baoqing Sun
article en

Abstract

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.

Journal of Chemical Information and ModelingVol. 65(12)
First Affiliated Hospital of Guangzhou Medical University (CN), National Clinical Research (US), State Key Laboratory of Respiratory Disease (CN), Guangzhou Medical University (CN)
Zero hunger
Openalex Percentile: Top 82%
Cancer-related molecular mechanisms research
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