Prostate cancer is a significant global health concern, and its prevalence is increasing worldwide. Despite extensive research efforts, the complexity of the disease remains challenging with respect to fully understanding it. Metabolomics has emerged as a powerful approach to understanding prostate cancer by assessing comprehensive metabolite profiles in biological samples. In this study, metabolic profiles of patients with benign prostatic hyperplasia (BPH), prostate cancer (PCa), and metastatic prostate cancer (Met) were characterized using an untargeted approach that included metabolomics and lipidomics via liquid chromatography and gas chromatography coupled with high-resolution mass spectrometry. Comparative analysis among these groups revealed distinct metabolic profiles, primarily associated with lipid biosynthetic pathways, such as biosynthesis of unsaturated fatty acids, fatty acid degradation and elongation, and sphingolipid and linoleic acid metabolism. PCa patients showed lower levels of amino acids, glycerolipids, glycerophospholipids, sphingolipids, and carnitines compared to BPH patients. Compared to Met patients, PCa patients had reduced metabolites in the glycerolipid, glycerophospholipid, and sphingolipid groups, along with increased amino acids and carbohydrates. These altered metabolic profiles provide insights into the underlying pathways of prostate cancer’s progression, potentially aiding the development of new diagnostic, and therapeutic strategies.
前列腺癌是全球重要的健康问题,其发病率在世界范围内呈上升趋势。尽管已有大量研究,但该疾病的复杂性仍使全面理解面临挑战。代谢组学通过评估生物样本中的全面代谢物谱,已成为理解前列腺癌的有力方法。本研究采用非靶向方法,结合液相色谱与气相色谱联用高分辨率质谱的代谢组学和脂质组学技术,对良性前列腺增生(BPH)、前列腺癌(PCa)及转移性前列腺癌(Met)患者的代谢特征进行了系统分析。比较分析显示各组间存在显著的代谢谱差异,主要涉及脂质生物合成途径,如不饱和脂肪酸生物合成、脂肪酸降解与延伸、鞘脂及亚油酸代谢等。与BPH患者相比,PCa患者的氨基酸、甘油脂、甘油磷脂、鞘脂及肉碱水平普遍降低;而与Met患者相比,PCa患者的甘油脂、甘油磷脂和鞘脂类代谢物减少,同时氨基酸和碳水化合物类代谢物增加。这些改变的代谢特征为揭示前列腺癌进展的潜在通路提供了新见解,可能有助于开发新的诊断和治疗策略。