Wang Dan, Peng Huiyu, Hu Yuyao, Piao Xue, Gao Dianshuai, Sha Yan
School of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, China.
The Key Laboratory of BioMedical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Suzhou, China.
Front Genet. 2022 Aug 10;13:850195. doi: 10.3389/fgene.2022.850195. eCollection 2022.
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 α-β 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.
妊娠相关乳腺癌(PABC)是在孕期或产后1年内被诊断出来的,但它的病因和发病机制的独特方面尚未完全阐明。本研究旨在确定PABC的分子机制,以促进诊断和治疗的发展。与非妊娠相关乳腺癌(NPABC)和正常乳腺组织相比,Limma软件包用于表征PABC中差异表达的基因。在PABC与NPABC组中鉴定出总共871个失调基因,在PABC与正常组中鉴定出917个失调基因,MAGE和CXCL家族基因的表达存在显著差异。PABC与正常组之间的失调基因主要与信号转导和免疫反应相关,而京都基因与基因组百科全书分析表明,失调基因在免疫相关途径中富集,包括主要组织相容性复合体(MHC)II类蛋白复合体、I型干扰素信号通路、α-β T细胞增殖的调节以及T细胞凋亡过程。通过蛋白质-蛋白质相互作用网络构建,CD44和BRCA1被确定为在PABC与NPABC中差异表达的突出枢纽基因。此外,在PABC与正常相邻组织中鉴定出一个由11个枢纽基因组成的聚类,其中EGFR、IGF1、PTGS2、FGF1、CAV1和PLCB1的表达在一组独立的PABC患者队列中被证实存在差异表达。值得注意的是,IGF1、PTGS2和FGF1被证明与患者预后显著相关。我们的研究揭示了PABC中独特的基因表达模式,并表明IGF1、PTGS2和FGF1可能作为PABC诊断和预后的生物标志物。