Gynecologic Oncology Department, Poznan University of Medical Sciences, Polna 33 Street, 60-535 Poznan, Poland.
Department of Inorganic and Analytical Chemistry, Poznan University of Medical Sciences, 6 Grunwaldzka Street, 60-780 Poznan, Poland.
Int J Environ Res Public Health. 2021 Feb 23;18(4):2167. doi: 10.3390/ijerph18042167.
Proper preoperative ovarian cancer (OC) diagnosis remains challenging. Serum free amino acid (SFAA) profiles were investigated to identify potential novel biomarkers of OC and assess their performance in ovarian tumor differential diagnosis. Serum samples were divided based on the histopathological result: epithelial OC ( = 38), borderline ovarian tumors ( = 6), and benign ovarian tumors (BOTs) ( = 62). SFAA profiles were evaluated using aTRAQ methodology based on high-performance liquid chromatography electrospray ionization tandem mass spectrometry (HPLC-ESI-MS/MS). Levels of eleven amino acids significantly differed between OC+borderline and BOTs. The highest area under the receiver operating characteristic curve (AUC of ROC) (0.787) was obtained for histidine. Cystine and histidine were identified as best single markers for early stage OC/BOT and type I OC. For advanced stage OC, seven amino acids differed significantly between the groups and citrulline obtained the best AUC of 0.807. Between type II OC and BOTs, eight amino acids differed significantly and the highest AUC of 0.798 was achieved by histidine and citrulline (AUC of 0.778). Histidine was identified as a potential new biomarker in differential diagnosis of ovarian tumors. Adding histidine to a multimarker panel together with CA125 and HE4 improved the differential diagnosis between OC and BOTs.
术前正确诊断卵巢癌(OC)仍然具有挑战性。本研究旨在调查血清游离氨基酸(SFAA)谱,以确定 OC 的潜在新型生物标志物,并评估其在卵巢肿瘤鉴别诊断中的性能。根据组织病理学结果将血清样本分为:上皮性 OC(=38)、交界性卵巢肿瘤(=6)和良性卵巢肿瘤(BOTs)(=62)。采用基于高效液相色谱-电喷雾电离串联质谱(HPLC-ESI-MS/MS)的 TRAQ 方法评估 SFAA 谱。11 种氨基酸的水平在 OC+交界性肿瘤与 BOTs 之间存在显著差异。组氨酸的受试者工作特征曲线下面积(ROC-AUC)最高(0.787)。胱氨酸和组氨酸被确定为早期 OC/BOT 和 I 型 OC 的最佳单一标志物。对于晚期 OC,两组之间有 7 种氨基酸存在显著差异,精氨酸获得了最佳的 ROC-AUC(0.807)。在 II 型 OC 与 BOTs 之间,有 8 种氨基酸存在显著差异,组氨酸和精氨酸的 AUC 最高(0.798)。组氨酸被鉴定为卵巢肿瘤鉴别诊断中的一种潜在新型生物标志物。将组氨酸添加到 CA125 和 HE4 的多标志物组合中可改善 OC 和 BOTs 之间的鉴别诊断。