Maeno Mitsuo, Mizutani Tetsuya, Tsuyoshi Hideaki, Yamada Shizuka, Ishikane Shin, Kawabe Shinya, Nishimura Kengo, Yamada Masami, Miyamoto Kaoru, Yoshida Yoshio
Department of Cell Biology and Biochemistry, Faculty of Medical Sciences, University of Fukui, Eiheiji, Fukui 910-1193, Japan.
Biotechnology Development Department, TOYOBO CO., LTD., Osaka, Osaka 530-8230, Japan.
Endocr J. 2020 Jan 28;67(1):91-94. doi: 10.1507/endocrj.EJ18-0572. Epub 2019 Sep 18.
Uterine sarcomas are rare and aggressive gynecologic tumors with poor prognosis; therefore, early diagnosis is crucial for therapy. However, it is very difficult to distinguish uterine sarcomas from leiomyomas which are common benign uterine tumors. Therefore, the development of a diagnostic method that utilizes reliable biomarkers to distinguish uterine sarcomas from leiomyomas is important so as to identify the rare tumors. The candidate factors as novel biomarkers were searched for in public databases and a pilot study was performed for confirmation. Growth differentiation factor-15 (GDF15), progranulin, and osteopontin were identified as candidate biomarkers for diagnosing uterine sarcoma. Thus, developing a rapid and easy method to measure these factors could help establish a screening system for uterine sarcomas. In this study, we developed a novel measurement system for these factors using a compact chemical luminescence immunological automatic analyzer POCube. This assay system, which is based on the flow-through membrane immunoassay, completes the whole process and generates results within 15 min. Serum concentrations of these factors measured via POCube correlated well with those measured using enzyme-linked immunosorbent assay (r = 0.994 for GDF15, r = 0.992 for progranulin, and r = 0.976 for osteopontin). The POCube system provides rapid and easy measurement of these factors, thereby facilitating uterine sarcoma diagnosis.
子宫肉瘤是罕见且侵袭性强的妇科肿瘤,预后较差;因此,早期诊断对治疗至关重要。然而,很难将子宫肉瘤与常见的子宫良性肿瘤平滑肌瘤区分开来。因此,开发一种利用可靠生物标志物来区分子宫肉瘤和平滑肌瘤的诊断方法对于识别这种罕见肿瘤很重要。在公共数据库中搜索作为新型生物标志物的候选因素,并进行了一项初步研究以进行确认。生长分化因子15(GDF15)、前颗粒蛋白和骨桥蛋白被确定为诊断子宫肉瘤的候选生物标志物。因此,开发一种快速简便的方法来测量这些因素有助于建立子宫肉瘤筛查系统。在本研究中,我们使用紧凑型化学发光免疫自动分析仪POCube开发了一种用于测量这些因素的新型测量系统。该检测系统基于流通式膜免疫测定法,可在15分钟内完成整个过程并得出结果。通过POCube测量的这些因素的血清浓度与使用酶联免疫吸附测定法测量的结果高度相关(GDF15的r = 0.994,前颗粒蛋白的r = 0.992,骨桥蛋白的r = 0.976)。POCube系统可快速简便地测量这些因素,从而有助于子宫肉瘤的诊断。