4.6 Article

Distinctive gene expression patterns in pregnancy-associated breast cancer

期刊

FRONTIERS IN GENETICS
卷 13, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fgene.2022.850195

关键词

breast cancer; expression profiling; immune; pregnancy; GEO

资金

  1. Xuzhou Science and Technology Innovation Project
  2. [KC19061]

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This study aimed to understand the molecular mechanisms of pregnancy-associated breast cancer (PABC) by analyzing the differentially expressed genes in PABC compared to non-pregnancy-associated breast cancer (NPABC) and normal breast tissue. Dysregulated genes were identified, with a focus on MAGE and CXCL family genes. The dysregulated genes were mainly associated with signal transduction and immune response, and Kyoto Encyclopedia of Genes and Genomes analysis revealed enrichment in immune-related pathways. Hub genes with differential expression in PABC versus NPABC were identified, including CD44 and BRCA1. Additionally, a cluster of eleven hub genes was found in PABC versus normal adjacent tissues, and IGF1, PTGS2, and FGF1 were shown to be significantly related to patient prognosis.
Pregnancy-associated breast cancer (PABC) is diagnosed during pregnancy or within 1 year postpartum, but the unique aspects of its etiology and pathogenesis have not been fully elucidated. This study aimed to ascertain the molecular mechanisms of PABC to facilitate diagnosis and therapeutic development. The Limma package was used to characterize the differentially expressed genes in PABC as compared to non-pregnancy-associated breast cancer (NPABC) and normal breast tissue. A total of 871 dysregulated genes were identified in the PABC versus NPABC groups and 917 in the PABC versus normal groups, with notable differences in the expression of MAGE and CXCL family genes. The dysregulated genes between the PABC and normal groups were mainly associated with signal transduction and immune response, while Kyoto Encyclopedia of Genes and Genomes analysis revealed that the dysregulated genes were enriched in immune-related pathways, including the major histocompatibility complex (MHC) class II protein complex, the type I interferon signaling pathway, regulation of alpha-beta T-cell proliferation, and the T-cell apoptotic process. Through protein-protein interaction network construction, CD44 and BRCA1 were identified as prominent hub genes with differential expression in PABC versus NPABC. Furthermore, a cluster with eleven hub genes was identified in PABC versus normal adjacent tissues, of which the expression of EGFR, IGF1, PTGS2, FGF1, CAV1, and PLCB1 were verified to be differentially expressed in an independent cohort of PABC patients. Notably, IGF1, PTGS2, and FGF1 were demonstrated to be significantly related to patient prognosis. Our study reveals a distinctive gene expression pattern in PABC and suggests that IGF1, PTGS2, and FGF1 might serve as biomarkers for diagnosis and prognosis of PABC.

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