乳腺癌骨转移:新发现的预后生物标志物

IF 6.2 Q2 GENETICS & HEREDITY
Phenomics (Cham, Switzerland) Pub Date : 2025-05-28 eCollection Date: 2025-08-01 DOI:10.1007/s43657-025-00221-0
Meiling Chu, Yan Zhang, Jie Chen, Hui Cong, Yulian Yin, Hongfeng Chen
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引用次数: 0

摘要

脂质代谢对乳腺癌骨转移(BRCA)的发展和预后的影响目前尚不清楚。本研究BRCA样本的测序数据来自加州大学圣克鲁斯分校(UCSC) Xena数据库。将BRCA组与对照组之间的差异表达基因(DEGs1)、骨转移组与非骨转移组之间的差异表达基因(DEGs2)、脂质代谢评分相关基因(LMSRGs)相交得到LMSRGs (DE-LMSRGs)。通过单变量logistic回归分析、支持向量机递归特征消除(SVM-RFE)和多变量logistic回归分析获得生物标志物,进行相关性分析、基因集富集分析、免疫组织化学、共同创建网络和药物预测分析,然后使用免疫组织化学、Western blot分析对样本进行验证。我们确定了两个生物标志物(g蛋白信号9结合蛋白调节因子(RGS9BP)和细胞因子信号3抑制因子(SOCS3))。骨转移组与非骨转移组有9种免疫细胞存在显著差异,如活化树突状细胞、中性粒细胞、浆细胞样树突状细胞等。然后,建立lncRNA-miRNA-mRNA网络,包括受调控的关系对HLX-AS1-hsa-mir-541-SOCS3, ZNF337-AS1-hsa-mir-541-SOCS3。分子对接分析表明,SOCS3与叶酸、雌二醇和s -腺苷蛋氨酸形成的复合物具有更高的稳定性。同样,RGS9BP与苯并芘的配对也显示出显著的稳定性。最后,生物标志物与血管生成评分和大多数血管生成相关基因(ARGs)相关。我们的研究确定了两种潜在的生物标志物(RGS9BP和SOCS3)用于评估BRCA骨转移患者的预后。这些发现为BRCA患者骨转移的进一步研究提供了科学参考。补充信息:在线版本包含补充资料,下载地址为10.1007/s43657-025-00221-0。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Breast Cancer Bone Metastasis: Novel Prognostic Biomarkers Identified.

The impact of lipid metabolism on the development and prognosis of bone metastasis from breast cancer (BRCA) is currently unknown. Sequencing data of BRCA samples in this study were obtained from the University of California, Santa Cruz (UCSC) Xena database. The differentially expressed genes (DEGs1) between the BRCA group and the control group, the differentially expressed genes (DEGs2) between the bone metastasis group and the non-bone metastasis group, and the lipid metabolism score-related genes (LMSRGs) were intersected to obtain LMSRGs (DE-LMSRGs). Biomarkers were obtained using univariate logistic regression analysis, support vector machine recursive feature elimination (SVM-RFE) and multivariate logistic regression analysis for Correlation Analysis, Gene Set Enrichment Analysis, Immunohistochemistry, Co-creation of Networks, and Drug Prediction, and then analyses were performed using Immunohistochemistry, Western blot analyses to validate the samples. We identified two biomarkers (Regulator of G-protein Signaling 9 Binding Protein (RGS9BP) and suppressor of cytokine signaling 3 (SOCS3)). There were nine immune cells that were markedly differential between bone metastasis and non-bone metastasis groups, such as activated dendritic cell, neutrophil, plasmacytoid dendritic cell, etc. Then, the lncRNA-miRNA-mRNA network was created, including the regulated relationship pairs HLX-AS1-hsa-mir-541-SOCS3, ZNF337-AS1-hsa-mir-541-SOCS3. Molecular docking analyses have demonstrated that the complexes formed by SOCS3 alongside folic acid, estradiol, and S-Adenosylmethionine exhibit heightened stability. Similarly, the pairing of RGS9BP with benzopyrene showcases a notable degree of stability. Finally, the biomarkers were associated with angiogenesis scores and most angiogenesis related genes (ARGs). Our study identified two potential biomarkers (RGS9BP and SOCS3) for prognostic evaluation of bone metastasis patients with BRCA. These findings provided a scientific reference for further research on bone metastasis in BRCA patients.

Supplementary information: The online version contains supplementary material available at 10.1007/s43657-025-00221-0.

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