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谷氨酸富集作为乳腺癌新的诊断契机。

Glutamate enrichment as new diagnostic opportunity in breast cancer.

作者信息

Budczies Jan, Pfitzner Berit M, Györffy Balazs, Winzer Klaus-Jürgen, Radke Cornelia, Dietel Manfred, Fiehn Oliver, Denkert Carsten

机构信息

Institute of Pathology, Charité University Hospital, Berlin, Germany; German Cancer Consortium (DKTK), partner site Berlin, Germany; German Cancer Research Center (DKFZ), Heidelberg, Germany.

出版信息

Int J Cancer. 2015 Apr 1;136(7):1619-28. doi: 10.1002/ijc.29152. Epub 2014 Sep 4.

Abstract

Exogenous glutamine is an important source of energy and molecular building blocks for many tumors. There is a renewed interest in therapeutically targeting glutamine metabolism due to the recent discovery of two novel glutaminase inhibitors. To quantify the dysregulation of the glutamate-glutamine equilibrium in breast cancer, metabolomics analysis of 270 clinical breast cancer samples and 97 normal breast samples was carried out using gas chromatography combined with time-of-flight mass spectrometry. Positive correlation between glutamate and glutamine in normal breast tissues switched to negative correlation between glutamate and glutamine in breast cancer tissues. Compared with the ratio of glutamate to glutamine in normal tissues, we found 56% of the ER+ tumor tissues and 88% of the ER- tumor tissues glutamate-enriched. The glutamate-to-glutamine ratio (GGR) significantly correlated with ER status (p = 8.0E-09) and with tumor grade (p = 3.3E-05). Higher levels of GGR were associated with prolonged overall survival in univariate analysis (HR = 0.77, p = 0.027) and in multivariate analysis (HR = 0.73, p = 0.038). GGR levels were reflected in an unsupervised clustering of metabolomics profiles. In a supervised analysis of metabolomics data and of genome-wide expression data, replacement of GGR by metabolite surrogate markers was feasible, while replacement of GGR by RNA markers had a limited accuracy. Functional analysis of the gene expression data showed negative correlation between glutamate enrichment and activation of peroxisome proliferator-activated receptor (PPAR) pathway. Our findings may have important implications for patient stratification related to utilization of glutaminase inhibitors.

摘要

外源性谷氨酰胺是许多肿瘤重要的能量来源和分子构建原料。由于最近发现了两种新型谷氨酰胺酶抑制剂,针对谷氨酰胺代谢进行治疗性靶向研究重新受到关注。为了量化乳腺癌中谷氨酸 - 谷氨酰胺平衡的失调情况,采用气相色谱结合飞行时间质谱法对270份临床乳腺癌样本和97份正常乳腺样本进行了代谢组学分析。正常乳腺组织中谷氨酸和谷氨酰胺呈正相关,而在乳腺癌组织中则转变为负相关。与正常组织中谷氨酸与谷氨酰胺的比值相比,我们发现56%的雌激素受体阳性(ER+)肿瘤组织和88%的雌激素受体阴性(ER-)肿瘤组织谷氨酸含量丰富。谷氨酸与谷氨酰胺的比值(GGR)与ER状态显著相关(p = 8.0×10⁻⁹),也与肿瘤分级显著相关(p = 3.3×10⁻⁵)。在单因素分析(HR = 0.77,p = 0.027)和多因素分析(HR = 0.73,p = 0.038)中,较高水平的GGR与较长的总生存期相关。GGR水平反映在代谢组学图谱的无监督聚类中。在代谢组学数据和全基因组表达数据的监督分析中,用代谢物替代标志物替代GGR是可行的,而用RNA标志物替代GGR的准确性有限。基因表达数据的功能分析显示,谷氨酸富集与过氧化物酶体增殖物激活受体(PPAR)途径的激活呈负相关。我们的研究结果可能对与谷氨酰胺酶抑制剂应用相关的患者分层具有重要意义。

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