Exploring Lipidomic Profiles and Their Correlation with Hormone Receptor and HER2 Status in Breast Cancer

Dysregulated lipid metabolism promotes the progression of various cancers, including breast cancer. This study aimed to explore the lipidomic profiles of breast cancer patients, providing insights into the correlation between lipid compositions and tumor subtypes characterized by hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2) status. Briefly, 30 breast cancer patients were categorized into four cohorts based on their HR and HER2 status: HR+, HER2 zero (HR+ HER2-0); HR+, HER2 low (HR+ HER2-low); HR+, HER2 pos (HR+ HER2-pos); and HR-, HER2 positive (HR- HER2-pos). Lipidomic profiles were analyzed using high-throughput liquid chromatography-mass spectrometry (LC-MS).脂质代谢失调可促进包括乳腺癌在内的多种癌症进展。本研究旨在探究乳腺癌患者的脂质组学特征，以期阐明脂质组成与以激素受体（HR）、人表皮生长因子受体2（HER2）状态为分型依据的肿瘤亚型之间的关联。简言之，本研究纳入30例乳腺癌患者，根据其HR及HER2状态划分为4个队列：HR阳性、HER2零表达（HR+ HER2-0）；HR阳性、HER2低表达（HR+ HER2-low）；HR阳性、HER2阳性（HR+ HER2-pos）；以及HR阴性、HER2阳性（HR- HER2-pos）。研究采用高通量液相色谱-质谱联用法（LC-MS）对脂质组学图谱进行了分析。