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Biomarker expression analysis in different age groups revealed age was a risk factor for breast cancer
Author(s) -
Ma Xiaoran,
Liu Cun,
Xu Xiaowei,
Liu Lijuan,
Gao Chundi,
Zhuang Jing,
Li Huayao,
Feng Fubin,
Zhou Chao,
Liu Zhen,
Li Jie,
Wei Junyu,
Wang Lu,
Sun Changgang
Publication year - 2020
Publication title -
journal of cellular physiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.529
H-Index - 174
eISSN - 1097-4652
pISSN - 0021-9541
DOI - 10.1002/jcp.29304
Subject(s) - breast cancer , biology , carcinogenesis , gene expression , gene , oncology , microarray analysis techniques , biomarker , cancer , computational biology , bioinformatics , genetics , medicine
The relationship between age and breast cancer is ambiguous. Here, we analyzed the differential expression pattern of long noncoding RNAs (lncRNAs) 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 lncRNAs (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 lncRNAs and mRNAs.