Department of Inorganic and Analytical Chemistry, Poznan University of Medical Sciences, 3 Rokietnicka Street, 60-806 Poznan, Poland.
Gynecologic Oncology Department, Poznan University of Medical Sciences, 33 Polna Street, 60-535 Poznan, Poland.
Int J Mol Sci. 2023 Sep 25;24(19):14528. doi: 10.3390/ijms241914528.
Endometrial cancer is the most common gynecological cancer worldwide. Classifying endometrial cancer into low- or high-risk groups based on the following features is recommended: tumor grade, lymphovascular space invasion, myometrial involvement, and non-endometrioid histology. Despite the recent progress in molecular profiling of endometrial cancer, a substantial group of patients are misclassified based on the current criteria. This study aimed to identify proteins that could be used as biomarkers for the stratification of endometrial cancer patients into low- or high-risk groups. The proteomic analysis of serum samples from endometrial cancer patients was performed using matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS). The data were then analyzed using chemometric algorithms to identify potential biomarkers. Nineteen precursor ions were identified as fragments of eighteen proteins which included (1) connective tissue matrix proteins, (2) cytoskeletal proteins, and (3) innate immune system molecules and stress proteins. These biomarkers could be used to stratify the high- and low-risk patients, thus enabling more precise treatment decisions.
子宫内膜癌是全球最常见的妇科癌症。建议根据肿瘤分级、脉管侵犯、肌层浸润和非子宫内膜样组织学等特征，将子宫内膜癌分为低危或高危组。尽管近年来在子宫内膜癌的分子谱分析方面取得了进展，但根据目前的标准，仍有相当一部分患者被错误分类。本研究旨在鉴定可作为生物标志物用于分层子宫内膜癌患者的低危或高危组的蛋白质。使用基质辅助激光解吸/电离飞行时间质谱（MALDI-TOF MS）对子宫内膜癌患者的血清样本进行蛋白质组学分析。然后使用化学计量学算法分析数据，以鉴定潜在的生物标志物。鉴定出 19 个前体离子，它们是 18 种蛋白质的片段，包括（1）结缔组织基质蛋白，（2）细胞骨架蛋白，和（3）固有免疫系统分子和应激蛋白。这些生物标志物可用于分层高危和低危患者，从而能够做出更精确的治疗决策。
