Gelsolin (GSN) as a key regulator in estrogen receptor-positive breast cancer: implications for prognosis, chemotherapy sensitivity, and immune infiltration

凝溶胶蛋白(GSN)作为雌激素受体阳性乳腺癌的关键调节因子:对预后、化疗敏感性和免疫浸润的影响

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Abstract

BACKGROUND: Gelsolin (GSN), a cytoskeletal regulatory protein implicated in cancer progression, remains understudied in estrogen receptor-positive breast cancer (ER + BC), particularly regarding its links to immune infiltration and drug resistance. METHODS: Transcriptomic data from TCGA (616 ER + tumors, 113 normal) and Metabric (1,497 ER + cases) were analyzed. Immunohistochemistry images were sourced from the Human Protein Atlas database (HPA). Differential expression analysis (limma package), Mendelian randomization (MR) for causal inference, and colocalization (Coloc package) were employed. Drug sensitivity and immune infiltration correlations were assessed using multiple bioinformatics tools. RESULTS: Differential expression revealed 303 upregulated and 715 downregulated genes. MR identified 276 eQTLs and 106 pQTLs, with GSN as a central key gene. Elevated GSN expression correlated with reduced ER + breast cancer risk (colocalization analysis: shared variant probability PP.H4.abf = 1.01%). Immunohistochemistry analysis demonstrated significantly lower GSN expression in ER + BC cases compared to normal samples, consistent with finding from TCGA cohorts. Higher GSN expression was linked to improved RFS in the Metabric (p = 0.023) and Kaplan-Meier datasets (p = 0.001). GSN expression was also associated with tumor size, age, and chemotherapy sensitivity for Cisplatin, Docetaxel, Doxorubicin, Etoposide, Gemcitabine, and Vinorelbine. Immune infiltration analysis showed a positive correlation between high GSN expression and the infiltration of naive B cells, but a reverse result was observed with M2 macrophage infiltration. GSN has potential as both a prognostic and therapeutic marker in ER + breast cancer, influencing immune response and drug sensitivity. Its low expression in tumors and survival benefits suggest it can help with risk assessment and treatment decisions.

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