Suppr超能文献

自然杀伤受体配体的mRNA表达在乳腺癌患者中的预后价值及其与临床病理特征的关联

Prognostic values of the mRNA expression of natural killer receptor ligands and their association with clinicopathological features in breast cancer patients.

作者信息

Abouelghar Ali, Hasnah Reem, Taouk Ghina, Saad Mohamad, Karam Manale

机构信息

Cancer Research Center, Qatar Biomedical Research Institute, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.

Department of Biological Sciences, Carnegie Mellon University in Qatar, Doha, Qatar.

出版信息

Oncotarget. 2018 Jun 5;9(43):27171-27196. doi: 10.18632/oncotarget.25506.

Abstract

BACKGROUND

Natural killer (NK) cells are lymphocytes of the innate immune system that have potent cytotoxic activity against tumor cells. NK cell recognition and activity towards cancer cells are regulated by an integrated interplay between numerous inhibitory and activating receptors acting in concert to eliminate tumor cells expressing cognate ligands. Despite strong evidence supporting the role of NK cells in breast cancer (BC) control, BC still develops and progresses to form large tumors and metastases. A major mechanism of BC escape from NK immunity is the alteration of the expression of NK receptor ligands. The aim of this study was to determine whether NK receptor ligands' mRNA expression might influence prognosis in BC patients and whether these effects differ by molecular subtypes and clinicopathological features.

METHODS

We used the KM plotter platform to analyze the correlation between mRNA expression of 32 NK receptor ligands and relapse-free survival (RFS) and overall survival (OS) in 3951 and 1402 BC patients, respectively. The association with tumor subtypes and clinicopathological features was determined. BC samples were split into high and low expression groups according to the best cutoff value and the two patient cohorts were compared by Kaplan-Meier survival plots. The hazard ratios with 95% confidence intervals and log rank values were calculated and FDR-adjusted for multiple testing correction. The data was considered to be statistically significant when FDR-adjusted value < 0.05.

RESULTS

High mRNA expression of around 80% of ligands for NK activating and inhibitory receptors associated with better RFS, which correlated with longer OS for only about half of the NK-activating ligands but for most NK-inhibitory ligands. Also, five NK-activating ligands correlated with worse prognosis. These prognostic values were differentially associated with the BC clinical criteria. In addition, the favorable prognostic influence of NK-activating ligands' upregulation, as a whole, was mainly significantly associated with HER2-positive and basal-like subtypes, lymph node positive phenotype, and high-grade tumors.

CONCLUSIONS

NK receptor ligands appear to play an important role in defining BC patient prognosis. Identification of a group of patients with worse prognosis expressing high levels of NK-activating ligands and low levels of NK-inhibitory ligands makes them ideal potential candidates for NK-based immunotherapy to eliminate residual tumor cells, prevent relapse and improve patient survival.

摘要

背景

自然杀伤(NK)细胞是先天性免疫系统的淋巴细胞,对肿瘤细胞具有强大的细胞毒性活性。NK细胞对癌细胞的识别和活性受到众多抑制性和激活性受体之间协同作用的调节,这些受体共同作用以消除表达同源配体的肿瘤细胞。尽管有强有力的证据支持NK细胞在乳腺癌(BC)控制中的作用,但BC仍会发展并进展为形成大肿瘤和转移灶。BC逃避NK免疫的主要机制是NK受体配体表达的改变。本研究的目的是确定NK受体配体的mRNA表达是否可能影响BC患者的预后,以及这些影响是否因分子亚型和临床病理特征而异。

方法

我们使用KM plotter平台分别分析了3951例和1402例BC患者中32种NK受体配体的mRNA表达与无复发生存期(RFS)和总生存期(OS)之间的相关性。确定了与肿瘤亚型和临床病理特征的关联。根据最佳截断值将BC样本分为高表达组和低表达组,并通过Kaplan-Meier生存曲线比较两个患者队列。计算了95%置信区间的风险比和对数秩值,并对多重检验校正进行了FDR调整。当FDR调整值<0.05时,数据被认为具有统计学意义。

结果

约80%的NK激活性和抑制性受体配体的高mRNA表达与更好的RFS相关,其中只有约一半的NK激活性配体与更长的OS相关,但大多数NK抑制性配体与更长的OS相关。此外,五种NK激活性配体与更差的预后相关。这些预后价值与BC临床标准存在差异关联。此外,总体而言,NK激活性配体上调的有利预后影响主要与HER2阳性和基底样亚型、淋巴结阳性表型和高级别肿瘤显著相关。

结论

NK受体配体似乎在确定BC患者预后中起重要作用。识别出一组预后较差、表达高水平NK激活性配体和低水平NK抑制性配体的患者,使他们成为基于NK的免疫疗法消除残留肿瘤细胞、预防复发和提高患者生存率的理想潜在候选者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf0c/6007477/11b6944d71a3/oncotarget-09-27171-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验