雌激素相关受体基因表达和拷贝数改变与乳腺癌临床病理特征的关系

IF 1.8 Q3 ONCOLOGY
A. Shatnawi, N. Ayoub, Amer E. Alkhalifa, D. R. Ibrahim
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引用次数: 1

摘要

目的:研究表明,转录因子表达或活性的失调在乳腺癌(BC)严重程度和不良预后中起着重要作用。因此,我们的研究旨在全面评估雌激素相关受体亚型(esrr)表达和拷贝数改变(CNA)状态及其与BC临床病理特征的关系。方法:从cBioPortal公共领域获得包含2509例BC患者样本的METABRIC数据集。检索esrr的基因表达、推测的CNA和相关肿瘤信息。ESRRs信使RNA (mRNA)在BC细胞系中的表达量来源于Cancer cell Line Encyclopedia (CCLE)。分析ESRRs表达与BC临床病理特征及分子亚型的相关性。通过Kaplan-Meier生存分析来评估ESRRs表达对患者生存的预后价值。结果:ESRRα表达与患者年龄、总生存期呈负相关,与肿瘤大小、阳性淋巴结数、诺丁汉预后指数(NPI)呈正相关。相反,ESRRγ表达与患者年龄正相关,与NPI负相关。ESRRα和ESRRγ的表达与肿瘤分级、激素受体、人表皮生长因子受体2 (HER2)的表达和分子亚型显著相关,而ESRRβ仅与肿瘤分期相关。我们还观察到,每个esrr CNA与各种临床病理和预后因素之间存在显著且独特的关联。Kaplan-Meier生存分析显示,ESRRα、β或γ高表达或低表达的BC患者的生存曲线无显著差异。在分层研究中,高ESRRα表达显著降低了绝经前患者、I/II级患者和早期疾病患者的生存率。在BC细胞系中,her2阳性细胞中只有ESRRα表达显著升高。未观察到ESRRβ表达与所检查的任何临床病理特征之间存在显著关联。结论:在该临床数据集中,ESRRα和ESRRγ mRNA表达和CNA与已知影响治疗结果的不同临床病理和预后参数具有显著相关性和相关性;然而,ESRRβ未能在BC发病机制中显示出强大的作用。ESRRα和ESRRγ可作为bc靶向治疗的治疗靶点。然而,ESRRβ在BC发病机制中的作用尚不清楚。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estrogen-Related Receptors Gene Expression and Copy Number Alteration Association With the Clinicopathologic Characteristics of Breast Cancer
Purpose: It has been suggested that dysregulation of transcription factors expression or activity plays significant roles in breast cancer (BC) severity and poor prognosis. Therefore, our study aims to thoroughly evaluate the estrogen-related receptor isoforms (ESRRs) expression and copy number alteration (CNA) status and their association with clinicopathologic characteristics in BC. Methods: A METABRIC dataset consist of 2509 BC patients’ samples was obtained from the cBioPortal public domain. The gene expression, putative CNA, and relevant tumor information of ESRRs were retrieved. ESRRs messenger RNA (mRNA) expression in BC cell lines was obtained from the Cancer Cell Line Encyclopedia (CCLE). Association and correlation analysis of ESRRs expression with BC clinicopathologic characteristics and molecular subtype were performed. Kaplan–Meier survival analysis was conducted to evaluate the prognostic value of ESRRs expression on patient survival. Results: ESRRα expression correlated negatively with patients’ age and overall survival, whereas positively correlated with tumor size, the number of positive lymph nodes, and Nottingham prognostic index (NPI). Conversely, ESRRγ expression was positively correlated with patients’ age and negatively correlated with NPI. ESRRα and ESRRγ expression were significantly associated with tumor grade, expression of hormone receptors, human epidermal growth factor receptor 2 (HER2), and molecular subtype, whereas ESRRβ was only associated with tumor stage. A significant and distinct association of each of ESRRs CNA with various clinicopathologic and prognostic factors was also observed. Kaplan–Meier survival analysis demonstrated no significant difference for survival curves among BC patients with high or low expression of ESRRα, β, or γ. On stratification, high ESRRα expression significantly reduced survival among premenopausal patients, patients with grade I/II, and early-stage disease. In BC cell lines, only ESRRα expression was significantly higher in HER2-positive cells. No significant association was observed between ESRRβ expression and any of the clinicopathologic characteristics examined. Conclusions: In this clinical dataset, ESRRα and ESRRγ mRNA expression and CNA show a significant correlation and association with distinct clinicopathologic and prognostic parameters known to influence treatment outcomes; however, ESRRβ failed to show a robust role in BC pathogenesis. ESRRα and ESRRγ can be employed as therapeutic targets in BC-targeted therapy. However, the role of ESRRβ in BC pathogenesis remains unclear.
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来源期刊
CiteScore
5.10
自引率
3.40%
发文量
22
审稿时长
8 weeks
期刊介绍: Breast Cancer: Basic and Clinical Research is an international, open access, peer-reviewed, journal which considers manuscripts on all areas of breast cancer research and treatment. We welcome original research, short notes, case studies and review articles related to breast cancer-related research. Specific areas of interest include, but are not limited to, breast cancer sub types, pathobiology, metastasis, genetics and epigenetics, mammary gland biology, breast cancer models, prevention, detection, therapy and clinical interventions, and epidemiology and population genetics.
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