Suppr超能文献

糖基化相关基因在乳腺癌中的预后相关性

Prognostic relevance of glycosylation-associated genes in breast cancer.

作者信息

Milde-Langosch Karin, Karn Thomas, Schmidt Marcus, zu Eulenburg Christine, Oliveira-Ferrer Leticia, Wirtz Ralph M, Schumacher Udo, Witzel Isabell, Schütze Dina, Müller Volkmar

机构信息

Department of Gynecology, University Hospital Hamburg-Eppendorf, Hamburg, Germany,

出版信息

Breast Cancer Res Treat. 2014 Jun;145(2):295-305. doi: 10.1007/s10549-014-2949-z. Epub 2014 Apr 16.

Abstract

Glycosylation of cellular proteins has important impact on their stability and functional properties, and glycan structures strongly influence cell adhesion. Many enzymes are involved in glycoconjugate synthesis and degradation, but there is only limited information about their role in breast cancer progression. Therefore, we retrieved RNA expression data of 202 glycosylation genes generated by microarray analysis (Affymetrix HG-U133A) in a cohort of 194 mammary carcinomas with long-term follow-up information. After univariate and multivariate Cox regression analysis, genes with independent prognostic value were identified. These were further analysed by Kaplan-Meier analysis and log-rank tests, and their prognostic value was validated in a second cohort of 200 tumour samples from patients without systemic therapy. In our first cohort, we identified 24 genes with independent prognostic value, coding for sixteen anabolic and eight catabolic enzymes. Functionally, these genes are involved in all important glycosylation pathways, namely O-glycosylation, N-glycosylation, O-fucosylation, synthesis of glycosaminoglycans and glycolipids. Eighteen genes also showed prognostic significance in chemotherapy-treated patients. In the second cohort, six of the 24 relevant genes were of prognostic significance (FUT1, FUCA1, POFUT1, MAN1A1, RPN1 and DPM1), whereas a trend was observed for three additional probesets (GCNT4, ST3GAL6 and UGCG). In a stratified analysis of molecular subtypes combining both cohorts, great differences appeared suggesting a predominant role of N-glycosylation in luminal cancers and O-glycosylation in triple-negative ones. Correlations of gene expression with metastases of various localizations point to a role of glycan structures in organ-specific metastatic spread. Our results indicate that various glycosylation reactions influence progression and metastasis of breast cancer and might thus represent potential therapeutic targets.

摘要

细胞蛋白的糖基化对其稳定性和功能特性具有重要影响,并且聚糖结构强烈影响细胞黏附。许多酶参与糖缀合物的合成和降解,但关于它们在乳腺癌进展中的作用的信息有限。因此,我们检索了通过微阵列分析(Affymetrix HG-U133A)在194例具有长期随访信息的乳腺癌队列中生成的202个糖基化基因的RNA表达数据。经过单变量和多变量Cox回归分析,确定了具有独立预后价值的基因。通过Kaplan-Meier分析和对数秩检验对这些基因进行进一步分析,并在来自未接受全身治疗患者的200个肿瘤样本的第二个队列中验证了它们的预后价值。在我们的第一个队列中,我们确定了24个具有独立预后价值的基因,编码16种合成代谢酶和8种分解代谢酶。在功能上,这些基因参与所有重要的糖基化途径,即O-糖基化、N-糖基化、O-岩藻糖基化、糖胺聚糖和糖脂的合成。18个基因在接受化疗的患者中也显示出预后意义。在第二个队列中,24个相关基因中的6个具有预后意义(FUT1、FUCA1、POFUT1、MAN1A1、RPN1和DPM1),而另外三个探针集(GCNT4、ST3GAL6和UGCG)观察到一种趋势。在结合两个队列的分子亚型分层分析中,出现了很大差异,表明N-糖基化在管腔癌中起主要作用,而O-糖基化在三阴性癌中起主要作用。基因表达与各种部位转移的相关性表明聚糖结构在器官特异性转移扩散中的作用。我们的结果表明,各种糖基化反应影响乳腺癌的进展和转移,因此可能代表潜在的治疗靶点。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验