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DOI 10.1016/j.compbiolchem.2025.108412

Медицинская библиотека · Computational biology and chemistry · 2025

The potential mechanisms by which Xiaoyao Powder may exert therapeutic effects on thyroid cancer were examined at various levels.

Lei Xiaoli, Wang Feifei, Zhang Xinying, Huang Jiaxi, Huang Yanqin

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

BACKGROUND

Thyroid cancer (TC) is the most prevalent endocrine malignancy, with a rising incidence necessitating safer treatment strategies to reduce overtreatment and its side effects. Xiaoyao Powder (XYP), a widely used herbal formula, shows promise in treating TC. This study aims to investigate the mechanisms by which XYP may affect TC.

METHODS

The components of XYP were identified through database retrieval, and targets related to TC were collected to construct a target network for key screening. GEO dataset samples analyzed immune cells and identified significantly differentially expressed core genes (SDECGs). Based on SDECG expression and clustering, samples were classified for comparison. WGCNA was employed to identify gene modules linked to clinical characteristics. ML models screened characteristic genes and constructed a nomogram validated using another GEO dataset. MR methods explored causal relationships between genes and TC.

RESULTS

The top ten active components of XYP were identified, along with 27 SDECGs that exhibited significant differences in immune cell infiltration between TC patients and normal controls. The nomogram effectively predicted TC risk, validated through ROC curves. Key characteristic genes included SMIM1, PPP1R16A, KIAA1462, DNAJC22, and EFNA5.

CONCLUSION

XYP may treat TC by regulating SMIM1, PPP1R16A, KIAA1462, DNAJC22, EFNA5, and associated immune pathways; this provides theoretical support for its potential mechanisms.

Для цитирования: Lei Xiaoli, Wang Feifei, Zhang Xinying, Huang Jiaxi, Huang Yanqin. The potential mechanisms by which Xiaoyao Powder may exert therapeutic effects on thyroid cancer were examined at various levels.. Computational biology and chemistry. 2025. DOI: 10.1016/j.compbiolchem.2025.108412.

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