College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Front Immunol. 2022 Oct 11;13:990143. doi: 10.3389/fimmu.2022.990143. eCollection 2022.
Breast cancer is a cancer of high complexity and heterogeneity, with differences in prognosis and survival among patients of different subtypes. Copy number variations (CNVs) within enhancers are crucial drivers of tumorigenesis by influencing expression of their targets. In this study, we performed an integrative approach to identify CNA-driven enhancers and their effect on expression of target genes in four breast cancer subtypes by integrating expression data, copy number data and H3K27ac data. We identified 672, 555, 531, 361 CNA-driven enhancer-gene pairs and 280, 189, 113 and 98 CNA-driven enhancer-lncRNA pairs in the Basal-like, Her2, LumA and LumB subtypes, respectively. We then reconstructed a CNV-driven enhancer-lncRNA-mRNA regulatory network in each subtype. Functional analysis showed CNA-driven enhancers play an important role in the progression of breast cancer subtypes by influencing P53 signaling pathway, PPAR signaling pathway, systemic lupus erythematosus and MAPK signaling pathway in the Basal-like, Her2, LumA and LumB subtypes, respectively. We characterized the potentially prognostic value of target genes of CNV-driven enhancer and lncRNA-mRNA pairs in the subtype-specific network. We identified MUM1 and AC016876.1 as prognostic biomarkers in LumA and Basal-like subtypes, respectively. Higher expression of MUM1 with an amplified enhancer exhibited poorer prognosis in LumA patients. Lower expression of AC016876.1 with a deleted enhancer exhibited poorer survival outcomes of Basal-like patients. We also identified enhancer-related lncRNA-mRNA pairs as prognostic biomarkers, including AC012313.2-MUM1 in the LumA, AC026471.4-PLK5 in the LumB, AC027307.2-OAZ1 in the Basal-like and AC022431.1-HCN2 in the Her2 subtypes. Finally, our results highlighted target genes of CNA-driven enhancers and enhancer-related lncRNA-mRNA pairs could act as prognostic markers and potential therapeutic targets in breast cancer subtypes.
乳腺癌是一种高度复杂和异质性的癌症,不同亚型的患者在预后和生存方面存在差异。增强子内的拷贝数变异(CNVs)通过影响靶基因的表达,是肿瘤发生的关键驱动因素。在这项研究中,我们通过整合表达数据、拷贝数数据和 H3K27ac 数据,采用综合方法来识别四种乳腺癌亚型中 CNA 驱动的增强子及其对靶基因表达的影响。我们分别在基底样、Her2、LumA 和 LumB 亚型中鉴定了 672、555、531 和 361 个 CNA 驱动的增强子-基因对,以及 280、189、113 和 98 个 CNA 驱动的增强子-lncRNA 对。然后,我们在每个亚型中重建了一个 CNA 驱动的增强子-lncRNA-mRNA 调控网络。功能分析表明,CNA 驱动的增强子通过影响基底样、Her2、LumA 和 LumB 亚型中的 P53 信号通路、PPAR 信号通路、系统性红斑狼疮和 MAPK 信号通路,在乳腺癌亚型的进展中发挥重要作用。我们描述了亚型特异性网络中 CNA 驱动的增强子和 lncRNA-mRNA 对的潜在预后价值。我们分别在 LumA 和基底样亚型中鉴定了 MUM1 和 AC016876.1 作为预后生物标志物。在 LumA 患者中,具有扩增增强子的 MUM1 表达水平较高,预示预后较差。在基底样患者中,具有缺失增强子的 AC016876.1 表达水平较低,预示生存结局较差。我们还鉴定了增强子相关的 lncRNA-mRNA 对作为预后生物标志物,包括 LumA 中的 AC012313.2-MUM1、LumB 中的 AC026471.4-PLK5、基底样中的 AC027307.2-OAZ1 和 Her2 中的 AC022431.1-HCN2。最后,我们的研究结果突出了 CNA 驱动的增强子和增强子相关的 lncRNA-mRNA 对的靶基因可以作为乳腺癌亚型的预后标志物和潜在治疗靶点。