Xu Yali, Zhao Bin, Xu Zhu, Li Xiaogang, Sun Qiang
State Key Laboratory of Complex Severe and Rare Diseases, Department of Breast Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Department of Breast Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Front Med (Lausanne). 2023 Jul 31;10:1148542. doi: 10.3389/fmed.2023.1148542. eCollection 2023.
Breast cancer is a common malignant tumor. A large number of medical evidence shows that breast cancer screening can improve the early diagnosis rate and reduce the mortality rate of breast cancer. In the present study, a wide range of targeted metabolomics profiling was conducted to investigate the plasma signatures of breast cancer.
A total of 86 patients with benign breast abnormalities (L group) and 143 patients with breast cancer (E group) were recruited. We collected their plasma samples and clinical information. Metabolomic analysis, based on the coverage of a wide range of targeted metabolomics was conducted with ultraperformance liquid chromatography- triple quadrupole-linear ion trap mass spectrometer (UPLC-QTRAP-MS).
We identified 716 metabolites through widely-targeted metabolomics. Serotonergic synapse was the main different metabolic pathway. The fold change of 14 metabolites was considered significantly different (fold change <0.67 or fold change >2; < 0.05). By combining all the 14 metabolites, we achieved differentiation of L group vs. E group (AUC = 0.792, 95%Cl: 0.662-0.809).
This study provided new insights into plasma biomarkers for differential diagnosis of benign abnormalities and breast cancer.
乳腺癌是一种常见的恶性肿瘤。大量医学证据表明，乳腺癌筛查可提高早期诊断率并降低乳腺癌死亡率。在本研究中，进行了广泛的靶向代谢组学分析，以探究乳腺癌的血浆特征。
共招募了86例乳腺良性病变患者（L组）和143例乳腺癌患者（E组）。收集他们的血浆样本和临床信息。基于广泛靶向代谢组学覆盖范围，采用超高效液相色谱-三重四极杆-线性离子阱质谱仪（UPLC-QTRAP-MS）进行代谢组学分析。
通过广泛靶向代谢组学，我们鉴定出716种代谢物。血清素能突触是主要的差异代谢途径。14种代谢物的变化倍数被认为有显著差异（变化倍数<0.67或变化倍数>2；P<0.05）。通过综合所有这14种代谢物，我们实现了L组与E组的区分（AUC = 0.792，95%Cl：0.662 - 0.809）。
本研究为乳腺良性病变和乳腺癌的鉴别诊断血浆生物标志物提供了新见解。
