Identification and validation of serum metabolite biomarkers for endometrial cancer diagnosis

• Published in: EMBO molecular medicine Vol. 16; no. 4; pp. 988 - 1003
• Main Authors: Liu, Wanshan, Ma, Jinglan, Zhang, Juxiang, Cao, Jing, Hu, Xiaoxiao, Huang, Yida, Wang, Ruimin, Wu, Jiao, Di, Wen, Qian, Kun, Yin, Xia
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 15.04.2024; Springer Nature
• Subjects: Biomarker; Biomedical and Life Sciences; Biomedicine; EMBO02; EMBO03; EMBO45; Endometrial Cancer; Machine Learning; Mass Spectrometry; Metabolite; Molecular Medicine; Endometrial Cancer; Biomarker; Metabolite; Machine Learning; Mass Spectrometry
• ISSN: 1757-4684; 1757-4676; 1757-4684
• DOI: 10.1038/s44321-024-00033-1

Endometrial cancer (EC) stands as the most prevalent gynecological tumor in women worldwide. Notably, differentiation diagnosis of abnormity detected by ultrasound findings (e.g., thickened endometrium or mass in the uterine cavity) is essential and remains challenging in clinical practice. Herein,...