Construction and preliminary evaluation of a prognostic model for thyroid cancer patients after hemithyroidectomy based on tumor-infiltrating immune cells
10.3969/j.issn.1000-484X.2025.04.025
- VernacularTitle:基于肿瘤浸润免疫细胞的甲状腺癌患者甲状腺半切术后预后模型的构建及初步评价
- Author:
Xiaoli YANG
1
;
Yong ZHANG
1
;
Min CHEN
1
Author Information
1. 成都市双流区第一人民医院,四川大学华西空港医院普外科一病区,成都 610200
- Publication Type:Journal Article
- Keywords:
Immune cell infiltration;
Prognostic model;
Thyroid cancer;
Treatment and prognosis
- From:
Chinese Journal of Immunology
2025;41(4):925-930
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the prognostic model for construction and preliminary evaluation of tumor invasion of im-mune cells after hemithyroidectomy in patients with thyroid cancer.Methods:The gene expression profiles and follow-up parameters of 152 patients with thyroid cancer after hemithyroidectomy from November 2020 to November 2022 were selected from The Cancer Genome Atlas(TCGA);ssGSEA was used to quantify immune cell infiltration in tumor tissues.LASSO was used to screen for key pre-dictors to verify the relationship between prognosis and different infiltrating immune cells.A prognostic risk score model was constructed using appropriate immune cells,and thyroid cancer patients were stratified into high-and low-risk groups.Kaplan-Meier survival curves were used for validation.Nomogram models were developed based on the risk model to predict survival rates and treatment inef-ficiency in thyroid cancer patients.Model accuracy was verified using ROC curve and AUC value.Calibration curves were employed to compare predicted and observed outcomes,and clinical decision curves were used to assess model reliability.Results:Immune cell in-filtration data were quantified by ssGSEA to obtain 22 infiltrating immune cells,including activated mast cells,naive B cells,unacti-vated mast cells,plasma cells,CD8+T cells,γδT cells,naive CD4+T cells,activated memory CD4+T cells,Treg cells,follicular helper T cells,memory B cells,activated NK cells,unactivated NK cells,unactivated memory CD4+T cells,M0 macrophages,monocytes,M1 macrophages,neutrophils,unactivated dendritic cells,activated dendritic cells,M2 macrophages and eosinophils.Six immune cells were selected as predictors,M0 macrophages,M2 macrophages,activated dendritic cells,unactivated mast cells,CD8+T cells,and monocytes.Risk scores calculated from these six immune cells were positively correlated with poor prognosis in high-risk patients.Kaplan-Meier analysis showed significantly longer overall survival in the low-risk group compared to the high-risk group(Log-Rank χ2=4.524,P=0.024).The total score of the prognostic nomogram model was 425,and the mortality risk was 79.12%;the treatment efficacy nomogram model had a total score of 406 points,corresponding to a 77.97%risk of treatment failure.Model validation results were reliable.Conclusion:The nomogram model of immune cells infiltration in thyroid cancer patients suggest that immune cell infiltration can be used as an important indicator to predict therapeutic efficacy and prognostic outcome in thyroid cancer patients.
