INTRODUCTION Metabolomics has recently emerged as a tool for understanding comprehensive tumor-associated metabolic dysregulation. However, only limited application of this technology has been introduced into the clinical setting of breast cancer. OBJECTIVES The aim of this study was to determine the feasibility of metabolome analysis using routine CNB/VAB samples from breast cancer patients and to elucidate metabolic signatures using metabolic profiling. METHODS After breast cancer screenings, 20 consecutive patients underwent CNB/VAB, and diagnosed with benign, DCIS and IDC by histology. Metabolome analysis was performed using CE-MS. Differential metabolites were then analyzed and evaluated with MetaboAnalyst 4.0. RESULTS We measured 116-targeted metabolites involved in energy metabolism. Principal component analysis and unsupervised hierarchical analysis revealed a distinct metabolic signature unique to namely "pure" IDC samples, whereas that of DCIS was similar to benign samples. Pathway analysis unveiled the most affected pathways of the "pure" IDC metabotype, including "pyrimidine," "alanine, aspartate, and glutamate" and "arginine and proline" pathways. CONCLUSIONS Our proof-of-concept study demonstrated that CE-MS-based CNB/VAB metabolome analysis is feasible for implementation in routine clinical settings. The most affected pathways in this study may contribute to improved breast cancer stratification and precision medicine.

中文翻译：

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常规穿刺活检的代谢谱可确定乳腺癌分层的肿瘤类型特异性代谢特征：一项初步研究。

引言代谢组学最近已成为了解全面的肿瘤相关代谢异常的工具。但是，仅将该技术的有限应用引入了乳腺癌的临床环境中。目的本研究的目的是确定使用来自乳腺癌患者的常规CNB / VAB样品进行代谢组分析的可行性，并通过代谢谱分析阐明代谢特征。方法乳腺癌筛查后，连续20例患者接受CNB / VAB检查，并通过组织学诊断为良性，DCIS和IDC。代谢组分析使用CE-MS进行。然后使用MetaboAnalyst 4.0分析和评估差异代谢产物。结果我们测量了参与能量代谢的116种目标代谢产物。主成分分析和无监督分层分析显示了独特的代谢特征，即“纯” IDC样品独有，而DCIS的代谢特征与良性样品相似。途径分析揭示了“纯” IDC代谢型中受影响最大的途径，包括“嘧啶”，“丙氨酸，天冬氨酸和谷氨酸”和“精氨酸和脯氨酸”途径。结论我们的概念验证研究表明，基于CE-MS的CNB / VAB代谢组分析对于在常规临床环境中实施是可行的。这项研究中受影响最大的途径可能有助于改善乳腺癌分层和精准医学。途径分析揭示了“纯” IDC代谢型中受影响最大的途径，包括“嘧啶”，“丙氨酸，天冬氨酸和谷氨酸”和“精氨酸和脯氨酸”途径。结论我们的概念验证研究表明，基于CE-MS的CNB / VAB代谢组分析对于在常规临床环境中实施是可行的。这项研究中受影响最大的途径可能有助于改善乳腺癌分层和精准医学。途径分析揭示了“纯” IDC代谢型中受影响最大的途径，包括“嘧啶”，“丙氨酸，天冬氨酸和谷氨酸”和“精氨酸和脯氨酸”途径。结论我们的概念验证研究表明，基于CE-MS的CNB / VAB代谢组分析对于在常规临床环境中实施是可行的。这项研究中受影响最大的途径可能有助于改善乳腺癌分层和精准医学。结论我们的概念验证研究表明，基于CE-MS的CNB / VAB代谢组分析对于在常规临床环境中实施是可行的。这项研究中受影响最大的途径可能有助于改善乳腺癌分层和精准医学。结论我们的概念验证研究表明，基于CE-MS的CNB / VAB代谢组分析对于在常规临床环境中实施是可行的。这项研究中受影响最大的途径可能有助于改善乳腺癌分层和精准医学。