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首页> 外文期刊>Journal of cellular physiology. >Biomarker expression analysis in different age groups revealed age was a risk factor for breast cancer
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Biomarker expression analysis in different age groups revealed age was a risk factor for breast cancer

机译：生物标志物表达分析在不同的年龄团体透露年龄是乳腺癌的一个风险因素癌症

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摘要

The relationship between age and breast cancer is ambiguous. Here, we analyzed the differential expression pattern of long noncoding RNAs (IncRNAs) and messenger RNAs (mRNAs) in different age groups to provide an effective association between age and breast cancer risk at the molecular level. We integrated the microarray information from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) data sets. The patients were divided into young (< 50 years) and old ( ≥ 50 years) age groups and evaluated by differential gene expression, weighted gene correlation network analysis (WGCNA), functional enrichment analyses, and coexpression analysis. To determine their potential clinical significance, univariate Cox regression analysis and survival assessment were conducted. We identified two IncRNAs (AL139280.1 and AP000851.1) and three mRNAs (MT1M, HBB, and TFPI2) as the risk markers, and Gene set enrichment analysis (GSEA) focusing on a single gene revealed that "pyrimidine metabolism," "cell cycle," and "P53 signaling pathway" were coenriched. These data demonstrated that age may be a risk factor for breast carcinogenesis and prognosis and provide an in-depth molecular characterization based on the expression patterns of IncRNAs and mRNAs.
机译：年龄与乳腺癌之间的关系模糊。长非编码rna的表达模式(IncRNAs)和信使rna (mrna)不同年龄组提供一个有效的协会年龄与乳腺癌风险之间的关系分子水平上。TCGA从癌症基因组图谱信息()和基因表达综合(GEO)数据集。患者分为年轻(< 50年)老(≥50岁)组和评估差异基因表达,加权基因相关网络分析(WGCNA)功能富集分析,和coexpression分析。来确定其潜在的临床意义,单变量Cox回归分析和生存进行了评估。两个IncRNAs (AL139280.1和识别AP000851.1)和三个mrna (MT1M、HBB和TFPI2)作为风险标记和基因集富集分析(GSEA)专注于单一基因显示”嘧啶代谢”、“细胞周期,”和“P53信号通路”coenriched。乳腺癌致癌作用和一个风险因素预后,并提供深入的分子描述基于表达模式IncRNAs和mrna。

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