Department of Microbiology, Howard University Cancer Center, Howard University, Washington DC, USA.
Research Institute Pelé Pequeno Príncipe, Faculdades Pequeno Príncipe, Curitiba, PR, Brazil.
BMC Cancer. 2021 Jul 27;21(1):861. doi: 10.1186/s12885-021-08573-2.
To investigate the global expression profile of miRNAs, their impact on cellular signaling pathways, and their association with poor prognostic parameters in African-American (AA) patients with triple negative breast cancer (TNBC).
Twenty-five samples of AA TNBC patients were profiled for global miRNA expression and stratified considering three clinical-pathological parameters: tumor size, lymph node (LN), and recurrence (REC) status. Differential miRNA expression analysis was performed for each parameter, and their discriminatory power was determined by Receiver Operating Characteristic (ROC) curve analysis. KMplotter was assessed to determine the association of the miRNAs with survival, and functional enrichment analysis to determine the main affected pathways and miRNA/mRNA target interactions.
A panel of eight, 23 and 27 miRNAs were associated with tumor size, LN, and REC status, respectively. Combined ROC analysis of two (miR-2117, and miR-378c), seven (let-7f-5p, miR-1255b-5p, miR-1268b, miR-200c-3p, miR-520d, miR-527, and miR-518a-5p), and three (miR-1200, miR-1249-3p, and miR-1271-3p) miRNAs showed a robust discriminatory power based on tumor size (AUC = 0.917), LN (AUC = 0.945) and REC (AUC = 0.981) status, respectively. Enrichment pathway analysis revealed their involvement in proteoglycans and glycan and cancer-associated pathways. Eight miRNAs with deregulated expressions in patients with large tumor size, positive LN metastasis, and recurrence were significantly associated with lower survival rates. Finally, the construction of miRNA/mRNA networks based in experimentally validated mRNA targets, revealed nodes of critical cancer genes, such as AKT1, BCL2, CDKN1A, EZR and PTEN.
Altogether, our data indicate that miRNA deregulated expression is a relevant biological factor that can be associated with the poor prognosis in TNBC of AA patients, by conferring to their TNBC cells aggressive phenotypes that are reflected in the clinical characteristics evaluated in this study.
为了研究 miRNA 的全球表达谱、它们对细胞信号通路的影响,以及它们与非裔美国(AA)三阴性乳腺癌(TNBC)患者不良预后参数的关系。
对 25 例 AA TNBC 患者的样本进行了全球 miRNA 表达谱分析,并根据三个临床病理参数进行分层:肿瘤大小、淋巴结(LN)和复发(REC)状态。对每个参数进行差异 miRNA 表达分析,并通过接收者操作特征(ROC)曲线分析确定其区分能力。KMplotter 用于确定 miRNA 与生存的关联,功能富集分析用于确定主要受影响的途径和 miRNA/mRNA 靶标相互作用。
一组 8、23 和 27 个 miRNA 分别与肿瘤大小、LN 和 REC 状态相关。两个(miR-2117 和 miR-378c)、七个(let-7f-5p、miR-1255b-5p、miR-1268b、miR-200c-3p、miR-520d、miR-527 和 miR-518a-5p)和三个(miR-1200、miR-1249-3p 和 miR-1271-3p)miRNA 的联合 ROC 分析显示,基于肿瘤大小(AUC=0.917)、LN(AUC=0.945)和 REC(AUC=0.981)状态,具有很强的区分能力。富集途径分析表明,它们参与了蛋白聚糖和聚糖以及癌症相关途径。在肿瘤体积较大、LN 转移阳性和复发的患者中,有 8 个 miRNA 的表达失调,与较低的生存率显著相关。最后,基于实验验证的 mRNA 靶点构建 miRNA/mRNA 网络,揭示了关键癌症基因(如 AKT1、BCL2、CDKN1A、EZR 和 PTEN)的节点。
总之,我们的数据表明,miRNA 表达失调是一个重要的生物学因素,可与 AA 患者 TNBC 的不良预后相关,使他们的 TNBC 细胞具有侵袭性表型,这反映在本研究中评估的临床特征中。