首页|ER阳性乳腺癌治疗靶点的数据筛选及生物信息学分析

ER阳性乳腺癌治疗靶点的数据筛选及生物信息学分析

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目的 基于成簇规律间隔短回文重复序列(CRISPR)文库数据,分析和预测雌激素受体(ER)阳性乳腺癌新型治疗靶点.方法 检索CRISPR文库测序数据、表达谱芯片数据,比较不同组ER阳性乳腺癌细胞与他莫昔芬耐药相关的缺失靶基因和差异基因;对测序数据、表达谱芯片数据取交集;使用STRING数据库分析潜在他莫昔芬耐药基因的蛋白互作网络(PPI);使用注释、可视化和综合发现数据库注释基因功能和信号通路;使用基因集富集分析(GSEA)软件分析核心基因集;对3个核心基因集和潜在他莫昔芬耐药基因取交集;使用基因表达谱交互式分析数据库绘制生存曲线.采用qRT-PCR和免疫组化实验测定ER阳性乳腺癌患者的跨膜糖蛋白(BSG)表达水平.结果 CRISPR文库测序数据、芯片表达谱数据结合分析,筛出61个潜在他莫昔芬耐药基因;PPI分析发现,其中的30个基因间存在显著相互作用;30个基因与3个GSEA核心基因集的交集分析发现,BSG是唯一基因.生存分析显示BSG高表达与ER阳性乳腺癌患者较短的无病生存期显著相关(P<0.05).qRT-PCR、免疫组化实验结果证实BSG在ER阳性乳腺癌患者中呈显著高表达.结论 基于CRISPR文库预测BSG是ER阳性乳腺癌患者新型治疗靶点,结合生物功能实验和临床特征可更好验证预测结果.
Data screening and bioinformatics analysis for targeted therapy in estrogen receptor positive breast cancer
Objective To screen the library data of clustered regularly interspaced short palindromic repeat(CRISPR)for predicting new therapeutic targets in estrogen receptor(ER)positive breast cancer.Methods CRISPR library sequencing data and expression profile chip data were retrieved to compare tamoxifen resistance among different groups of ER-positive breast cancer cells,focusing on the deletion target genes and differentially expressed genes.The gene lists from sequencing and expression profive chip data were intersected.The protein-protein interaction networks(PPI)of potential tamoxifen resistant genes were analyzed using the data visualization software.Gene function and pathways were annotated using the database for annotation,visualization,and integrated discovery.Core gene sets were analyzed using the software for gene set enrichment analysis(GSEA),with intersections between three core gene set and the potential tamoxifen resistant gene.Survival curves were plotted using the database of gene expression profiling interactive analysis.qRT-PCR and immunohistochemical(IHC)experiments were conducted to determine basigin(BSG)expression levels in ER-positive breast cancer patients.Results CRISPR library sequencing data and expression profile chip data screened out 61 potential tamoxifen resistance genes,and PPI analysis revealed that 30 genes exhibited significant interactions.Intersection analysis between the 30 genes and three core gene sets from GSEA identified BSG as the sole gene present.Survival analysis demonstrated a correlation between high BSG expression and poor disease-free survival in patients(P<0.05).qRT-PCR and IHC experiments confirmed significantly higher BSG expression in ER-positive breast cancer patients.Conclusion Based on CRISPR library analysis,BSG is a promising predictive target for novel therapies in ER-positive breast cancer patients,and the prediction results have been further verified by biological function experiments and clinical findings.

Estrogen receptor positive breast neoplasmsTamoxifenDrug resistanceBasigin

钟福波、刘乃斌、韦伟、方征宇

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518036 深圳北京大学香港科技大学医学中心

北京大学深圳医院甲乳外科

雌性激素受体阳性乳腺癌 他莫昔芬 耐药 跨膜糖蛋白

广东省医学科学技术研究基金资助项目

A2021178

2024

浙江医学
浙江省医学会

浙江医学

CSTPCD
影响因子:0.428
ISSN:1006-2785
年,卷(期):2024.46(19)