Department of General Surgery, the Affiliated Hospital of Jiangnan University (original area of Wuxi Third People's Hospital), No. 585 North Xingyuan Road, Liangxi District, Wuxi, 214002, Jiangsu, China.
World J Surg Oncol. 2020 Mar 10;18(1):52. doi: 10.1186/s12957-020-01820-z.
The aim of this study was to identify the key differentially expressed genes (DEGs) and high-risk gene mutations in breast ductal carcinoma in situ (DCIS).
Raw data (GSE36863) were downloaded from the database of Gene Expression Omnibus (GEO), including three DCIS samples (DCIS cell lines MCF10.DCIS, Sum102, and Sum225) and one normal control sample (normal mammary epithelial cell line MCF10A). The DEGs were analyzed using NOIseq and annotated via DAVID. Motif scanning in the promoter region of DEGs was performed via SeqPos. Additionally, single nucleotide variations (SNVs) were identified via GenomeAnalysisTK and SNV risk was assessed via VarioWatch. Mutant genes with a high frequency and risk were validated by RT-PCR analyses.
Finally, 5391, 7073, and 7944 DEGs were identified in DCIS, Sum102, and Sum22 cell lines, respectively, when compared with MCF10A. VENN analysis of the three cell lines revealed 603 upregulated and 1043 downregulated DEGs, including 16 upregulated and 36 downregulated transcription factor (TF) genes. In addition, six TFs each (e.g., E2F1 and CREB1) were found to regulate the core up- and downregulated DEGs, respectively. Furthermore, SNV detection results revealed 1104 (MCF10.DCIS), 2833 (Sum102), and 1132 (Sum22) mutation sites. Four mutant genes (RWDD4, SDHC, SEPT7, and SFN) with high frequency and risk were identified. The results of RT-PCR analysis as well as bioinformatics analysis consistently demonstrated that the expression of RWDD4, SDHC, SEPT7, and SFN was downregulated in the tumor tissues as compared with that in adjacent non-tumor tissues.
The differentially expressed TFs, TFs regulating DEGs (e.g., E2F1 and CREB1), and high-frequency mutant genes (RWDD4, SDHC, SEPT7, and SFN) might play key roles in the pathogenesis of DCIS.
本研究旨在鉴定乳腺导管原位癌(DCIS)中的关键差异表达基因(DEGs)和高风险基因突变。
从基因表达综合数据库(GEO)中下载原始数据(GSE36863),包括三个 DCIS 样本(MCF10.DCIS、Sum102 和 Sum225 细胞系)和一个正常对照样本(正常乳腺上皮细胞系 MCF10A)。使用 NOIseq 分析 DEGs,并通过 DAVID 进行注释。通过 SeqPos 对 DEGs 启动子区进行 motif 扫描。此外,通过 GenomeAnalysisTK 识别单核苷酸变异(SNV),并通过 VarioWatch 评估 SNV 风险。通过 RT-PCR 分析验证具有高频和高风险的突变基因。
最终,与 MCF10A 相比,DCIS、Sum102 和 Sum22 细胞系中分别鉴定出 5391、7073 和 7944 个 DEGs。三个细胞系的 VENN 分析显示,有 603 个上调和 1043 个下调的 DEGs,包括 16 个上调和 36 个下调的转录因子(TF)基因。此外,分别发现 6 个 TF(例如,E2F1 和 CREB1)分别调节核心上调和下调的 DEGs。此外,SNV 检测结果显示,MCF10.DCIS 中有 1104 个(MCF10.DCIS)、Sum102 中有 2833 个(Sum102)和 Sum22 中有 1132 个突变位点。鉴定出 4 个高频和高风险的突变基因(RWDD4、SDHC、SEPT7 和 SFN)。RT-PCR 分析和生物信息学分析的结果一致表明,与相邻非肿瘤组织相比,RWDD4、SDHC、SEPT7 和 SFN 在肿瘤组织中的表达下调。
差异表达的 TF、调节 DEGs 的 TF(例如,E2F1 和 CREB1)以及高频突变基因(RWDD4、SDHC、SEPT7 和 SFN)可能在 DCIS 的发病机制中发挥关键作用。