乳腺癌外周血中分子检测标记的筛选
DOI: 10.3971/j.issn.1000-8578.2015.07.004
Keywords: 乳腺癌,外周血,基因表达谱,Multi-factors Affect Cardiac Toxicity in Radiotherapy on Left-sided Breast Cancer,Effect of Neoadjuvant Chemotherapy Cycles on Pathologic Complete Response Rate Under Different Estrogen Receptor Status of Breast Cancer,Review of Targeted Therapy for Breast Cancer with BRCA Genes Mutation,Autophagic Cell Death Induced by GANT61 Inhibits Proliferation of Human Breast Cancer Cell Line MCF-7,Effect of Thyroid Hormone Receptor βΔ on Proliferation and Apoptosis of Rat Breast Cancer Cells SHZ-88,Progress on FOXP3 Expression in Breast Cancer Cells,Effect of Hormones from Adrenal Gland on Breast Cancer Metastasis in Mice,Effect of SAHA on Proliferation and Apoptosis of Breast Cancer Cells MDA-MB-435 and Related Mechanism,Analysis E-cad and VEGF Expression in Triple-negative Breast Cancer of Han and Uygur,Regulations and Roles of Breast Cancer Stem Cells,Prediction of Disease Specific Survival Rates by Genes Associated with Relapse of Breast Cancer,Correlation Between Tumor Associated Macrophages and CXCL12 Expression in Different Breast Tissues,Effects of NRP-1 Overexpression on Biological Behaviors of Breast Cancer Cell Lines MDA-MB-231 and SK-BR-3,Effect of Operation Incision Selection on Success rate of Sentinel Lymph Node Biopsy and Subcutaneous Hydrops in Breast Cancer,Relationship of Methylation Status and mRNA Expression of PTEN, RASSF1A in Peripheral Blood with Thyroid Nodule Disease
Abstract:
摘要 目的 对乳腺癌患者和健康者血液样本的基因表达谱进行分析，从中发现检测乳腺癌的分子标记。 方法 以公共数据库GEO中表达谱数据GSE11545作为训练集，利用BRB-ArrayTools软件提取乳腺癌/正常血液样本的差异表达基因作为候选基因，选取两组间差异水平小于0.001的基因，通过复合变量预测、对角线线性判别分析、最邻近算法和支持向量机四种不同的方法对验证集GSE27562中的样本进行分类预测，留一法交叉验证计算错误分类率，ROC曲线评估预测结果。结果 训练集中乳腺癌与正常血液样本的显著差异基因为61个，从中筛选出39个基因作为分类器，四种不同的方法对验证集进行的分类预测准确率都基本达到甚至超过80%，ROC曲线下面积达到0.925，表明分类预测效果良好。结论 基因芯片分析可以筛选出外周血中乳腺癌的分子标记，有望为乳腺癌的早期临床检测提供一种新的方法
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