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Advance in Biological Research

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ArticleOpen Access http://dx.doi.org/10.26855/abr.2025.06.001

Construction and Validation of a Prognostic Model for Immune and Metabolism-related Genes in Laryngeal Squamous Cell Carcinoma

Zhenlian Xie1, Shiwei Gong3, Zhang Feng2,*

1Department of Oncology, Pingnan County People's Hospital, Guigang 537300, Guangxi, China.

2Department of Otolaryngology Head and Neck Surgery, Pingnan County People's Hospital, Guigang 537300, Guangxi, China.

3Department of Oncology, Guilin Hospital, Xiangya Second Hospital, Central South University, Guilin 541001, Guangxi, China.

*Corresponding author: Zhang Feng

Published: September 5,2025

Abstract

Background: Laryngeal squamous cell carcinoma (LSCC) is an aggressive malignant tumor, characterized by high incidence and mortality. Metabolic reprogramming is an emerging hallmark of cancer that affects the tumor microenvironment (TME) by modulating the biological behavior of cancer and immune cells. Metabolism and immunity may jointly participate in the progression of LSCC to some extent. The purpose of this study is to explore the predictive value of immune and metabolic-related genes in laryngeal cancer and their complex interactions with the TME. Methods: Gene expression data, mutation data, and clinical information of LSCC were acquired from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). Subsequently, differentially expressed genes (DEGs) related to immunity and metabolism were identified, and functional enrichment analysis was conducted to explore their underlying mechanisms. We utilized Cox and LASSO regression analyses to develop a risk signature for immune and metabolism-related genes (IMRGs), which was then validated in TCGA and GEO cohorts. The association of the risk score with clinical characteristics, somatic mutations, microenvironmental features, and drug sensitivity was further investigated through correlation analyses. Results: A prognostic model composed of three genes (ARG2, PLCG1, TKFC) was constructed, with the high-risk score subgroup exhibiting poorer prognosis. The analysis of the ROC curve indicated that the prognostic model possesses strong predictive power (AUC = 0.655). Additionally, the risk score is an independent prognostic factor, and it is closely related to somatic mutations, immune microenvironment, and drug sensitivity. Conclusions: A prognostic model associated with immune and metabolism was established for LSCC based on three key genes. This model is proficient in accurately predicting outcomes for individuals suffering from LSCC. Furthermore, this prognostic model has demonstrated significant potential in uncovering immunological characteristics, evaluating the efficacy of immunotherapies, identifying somatic mutations, and predicting drug sensitivities.

Keywords

Laryngeal squamous cell carcinoma; immune; metabolism; prognosis; immune microenvironment; drug prediction

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How to cite this paper

 Construction and Validation of a Prognostic Model for Immune and Metabolism-related Genes in Laryngeal Squamous Cell Carcinoma

How to cite this paper: Zhenlian Xie, Shiwei Gong, Zhang Feng. (2025)  Construction and Validation of a Prognostic Model for Immune and Metabolism-related Genes in Laryngeal Squamous Cell CarcinomaAdvance in Biological Research, 6(1), 1-13.

DOI: http://dx.doi.org/10.26855/abr.2025.06.001