Wang Qi-Chao, Cao Jing-Yi, Wang Guang-Yue, Wang Heng, Peng Hua, Wang Qian, Yin Zhi-Xiang, Chang Ping-An, Zhang Gui-Hua, Yao Wen-Tao, Wu Jia-Cheng, Pei Chang-Song
Department of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Department of Urology, Xuzhou Cancer Hospital, Affiliated Hospital of Jiangsu University, Xuzhou, China.
BMC Nephrol. 2025 Apr 23;26(1):206. doi: 10.1186/s12882-025-04142-y.
The incidence of clear cell renal cell carcinoma (ccRCC) has steadily increased over the past decade, and recent studies have linked bile acid (BA) metabolism to its development. However, the metabolic profile of BAs and their potential as biomarkers in ccRCC pathogenesis remain poorly characterized, making their evaluation crucial for advancing disease understanding and management.
A total of 68 newly diagnosed ccRCC patients and 63 healthy controls were enrolled. Serum bile acid (BA) profiles were measured using Ultra Performance Liquid Chromatography-Tandem Mass Spectrometry (UPLC-MS/MS). The Orthogonal Projections to Latent Structures Discriminant Analysis (OPLS-DA) model analyzed differences in serum BA profiles between ccRCC patients and controls. Additionally, the relationship between BA profiles and tumor heterogeneity parameters was investigated. Receiver Operating Characteristic (ROC) analysis identified potential biomarkers for ccRCC pathogenesis.
The BA profile was altered in ccRCC patients and was not influenced by sex or age. Specifically, primary and secondary unconjugated BA fractions were significantly higher in the ccRCC population. Five BA metabolite candidates exhibited the most significant differences between ccRCC patients and controls. Deoxycholic acid (DCA) was associated with pathological pTNM stage classification and grade. Chenodeoxycholic acid (CDCA) and lithocholic acid (LCA), combined with testosterone, showed potential as biomarkers for the pathogenesis of ccRCC.
Alterations in the serum BA profile are observed in ccRCC. Deoxycholic acid (DCA) correlates with pathological pTNM stage classification and tumor grade. Additionally, CDCA combined with LCA show potential as biomarkers for ccRCC pathogenesis.
Not applicable.
在过去十年中，透明细胞肾细胞癌（ccRCC）的发病率稳步上升，最近的研究已将胆汁酸（BA）代谢与其发展联系起来。然而，ccRCC发病机制中胆汁酸的代谢谱及其作为生物标志物的潜力仍未得到充分表征，因此对其进行评估对于加深对疾病的理解和管理至关重要。
共纳入68例新诊断的ccRCC患者和63例健康对照。使用超高效液相色谱-串联质谱（UPLC-MS/MS）测量血清胆汁酸（BA）谱。采用正交偏最小二乘法判别分析（OPLS-DA）模型分析ccRCC患者与对照组血清BA谱的差异。此外，还研究了BA谱与肿瘤异质性参数之间的关系。受试者工作特征（ROC）分析确定了ccRCC发病机制的潜在生物标志物。
ccRCC患者的BA谱发生改变，且不受性别或年龄的影响。具体而言，ccRCC患者群体中初级和次级未结合BA组分显著更高。五种BA代谢物候选物在ccRCC患者与对照组之间表现出最显著的差异。脱氧胆酸（DCA）与病理pTNM分期分类和分级相关。鹅去氧胆酸（CDCA）和石胆酸（LCA）与睾酮联合使用，显示出作为ccRCC发病机制生物标志物的潜力。
在ccRCC中观察到血清BA谱的改变。脱氧胆酸（DCA）与病理pTNM分期分类和肿瘤分级相关。此外，CDCA与LCA联合使用显示出作为ccRCC发病机制生物标志物的潜力。
不适用。
