Serum metabolic fingerprints encode functional biomarkers for ovarian cancer diagnosis: a large-scale cohort studyResearch in context

Serum metabolic fingerprints encode functional biomarkers for ovarian cancer diagnosis: a large-scale cohort studyResearch in context

Summary: Background: Ovarian cancer (OC) ranks as the most lethal gynaecological malignancy worldwide, with early diagnosis being crucial yet challenging. Current diagnostic methods like transvaginal ultrasound and blood biomarkers show limited sensitivity/specificity. This study aimed to identify...

Full description

Saved in:
Bibliographic Details
Main Authors: Wanshan Liu, Xiaoxiao Hu, Zhouzhou Bao, Yanyan Li, Juxiang Zhang, Shouzhi Yang, Yida Huang, Ruimin Wang, Jiao Wu, Xiaoyu Xu, Qi Sang, Wen Di, Huaiwu Lu, Xia Yin, Kun Qian
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:EBioMedicine
Subjects:
Ovarian cancer
Metabolomics
Biomarker
Diagnosis
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396425001501
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items