Wu Jinhai, Chen Sian, Xu Ran, Chen Yanfei, Guo Jiadin, Li Jing, Zeng Xiheng, Wang Bin, Zhu Xuejin
Department of Urology, Guangzhou Institute of Cancer Research, The Affiliated Cancer Hospital, Guangzhou Medical University, Guangzhou, China.
Discov Oncol. 2025 May 21;16(1):843. doi: 10.1007/s12672-025-02672-3.
Prostate cancer remains a major global health burden for men, with its incidence and mortality steadily rising. Thyroid hormones, critical regulators of metabolism and cell growth, have been implicated in tumorigenesis, yet their specific role in prostate cancer risk remains unclear. This study systematically investigates the relationship between thyroid hormones and prostate cancer using multidimensional approaches.
A three-phase study design was employed: (1) A cross-sectional analysis of The National Health and Nutrition Examination Survey (NHANES) data to examine thyroid hormone levels (FT3 and T3) and prostate cancer risk; (2) Mendelian randomization (MR) analysis using genome-wide association studies (GWAS) data to explore causal relationships; (3) Bioinformatics analyses to annotate key Single Nucleotide Polymorphism(SNPs), identify related genes, and assess their biological roles in prostate cancer.
Observational analysis revealed significantly lower FT3 and T3 levels in high-risk prostate cancer patients, with adjusted models confirming an inverse association (p < 0.001). MR analysis supported a causal relationship between thyroid hormone replacement therapy and reduced prostate cancer risk (b < 0, p < 0.05). Four key genes-ADM5, INPP5B, NEURL4, and TYK2-were identified as downregulated in prostate cancer tissues, with prognostic and immune regulatory implications.
Thyroid hormones exhibit a protective role against prostate cancer. ADM5, INPP5B, NEURL4, and TYK2 emerge as potential biomarkers and therapeutic targets, warranting further mechanistic and clinical validation.
前列腺癌仍然是全球男性面临的主要健康负担,其发病率和死亡率呈稳步上升趋势。甲状腺激素作为新陈代谢和细胞生长的关键调节因子,已被认为与肿瘤发生有关,但其在前列腺癌风险中的具体作用仍不清楚。本研究采用多维度方法系统地研究甲状腺激素与前列腺癌之间的关系。
采用三阶段研究设计:(1)对美国国家健康与营养检查调查(NHANES)数据进行横断面分析,以检查甲状腺激素水平(FT3和T3)与前列腺癌风险;(2)使用全基因组关联研究(GWAS)数据进行孟德尔随机化(MR)分析,以探索因果关系;(3)进行生物信息学分析,注释关键单核苷酸多态性(SNP),鉴定相关基因,并评估它们在前列腺癌中的生物学作用。
观察性分析显示,高危前列腺癌患者的FT3和T3水平显著降低,校正模型证实了两者呈负相关(p < 0.001)。MR分析支持甲状腺激素替代疗法与降低前列腺癌风险之间存在因果关系(b < 0,p < 0.05)。四个关键基因——ADM5、INPP5B、NEURL4和TYK2——在前列腺癌组织中被鉴定为下调,具有预后和免疫调节意义。
甲状腺激素对前列腺癌具有保护作用。ADM5、INPP5B、NEURL4和TYK2成为潜在的生物标志物和治疗靶点,值得进一步进行机制和临床验证。