Analysis of expression differences of immune genes in thyroid carcinoma based on TCGA and ImmPort data sets and the application of a prognostic model

Abstract Thyroid carcinoma (THCA) prognosis is tightly linked to the tumor immune microenvironment, and immune-related genes (IRGs) are key regulators of this process. This study aimed to construct an IRG-based prognostic model to improve THCA clinical management. Transcriptome data from 509 THCA and 58 adjacent non-cancerous tissues from TCGA, combined with IRG sets from ImmPort, were used to screen differentially expressed IRGs (DEIRGs). Limma identified 82 DEIRGs, and core genes for the model were screened via univariate and multivariate Cox regression. A five-IRG prognostic signature (CXCL5, APOD, NOD1, IGHE, IFNE) was established, with risk scores stratified by the median. Survival analysis revealed that high-risk THCA patients had significantly worse overall survival (OS, P < 0.001). The model showed robust predictive efficacy (AUC = 0.834), and age/risk score were independent prognostic factors ( P < 0.05). Expression of the five IRGs was correlated with clinical TNM stages ( P < 0.05), and risk scores were positively associated with dendritic cell infiltration. Immunohistochemistry confirmed higher CXCL5/APOD expression in THCA tissues. This five-IRG signature effectively predicts THCA prognosis, reflects immune microenvironment characteristics, and provides novel targets for THCA immunotherapy.

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Publication Details

Journal
European journal of medical research
Published
2026-04-16
DOI
https://doi.org/10.1186/s40001-026-04418-5
Primary Topic
Thyroid Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
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article

Analysis of expression differences of immune genes in thyroid carcinoma based on TCGA and ImmPort data sets and the application of a prognostic model

Huanzhang Lin, Qishuo Zhang, Shijie Huang, Peixiu Yao et al.
European journal of medical research
Thyroid Cancer Diagnosis and Treatment
article

Analysis of expression differences of immune genes in thyroid carcinoma based on TCGA and ImmPort data sets and the application of a prognostic model

Huanzhang Lin, Qishuo Zhang, Shijie Huang, Peixiu Yao, Weihao Hu, Kai Gao, Yang Xie
article en

Abstract

Abstract Thyroid carcinoma (THCA) prognosis is tightly linked to the tumor immune microenvironment, and immune-related genes (IRGs) are key regulators of this process. This study aimed to construct an IRG-based prognostic model to improve THCA clinical management. Transcriptome data from 509 THCA and 58 adjacent non-cancerous tissues from TCGA, combined with IRG sets from ImmPort, were used to screen differentially expressed IRGs (DEIRGs). Limma identified 82 DEIRGs, and core genes for the model were screened via univariate and multivariate Cox regression. A five-IRG prognostic signature (CXCL5, APOD, NOD1, IGHE, IFNE) was established, with risk scores stratified by the median. Survival analysis revealed that high-risk THCA patients had significantly worse overall survival (OS, P < 0.001). The model showed robust predictive efficacy (AUC = 0.834), and age/risk score were independent prognostic factors ( P < 0.05). Expression of the five IRGs was correlated with clinical TNM stages ( P < 0.05), and risk scores were positively associated with dendritic cell infiltration. Immunohistochemistry confirmed higher CXCL5/APOD expression in THCA tissues. This five-IRG signature effectively predicts THCA prognosis, reflects immune microenvironment characteristics, and provides novel targets for THCA immunotherapy.

European journal of medical research
Medical College of Wisconsin (US), Shantou University (CN), Second Affiliated Hospital of Shantou University Medical College (CN), Shantou Central Hospital (CN), Guangdong Academy of Medical Sciences (CN)
Good health and well-being
Openalex Percentile: Top 22%
Thyroid Cancer Diagnosis and Treatment
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