A Novel Classifier Based on Urinary Proteomics for Distinguishing Between Benign and Malignant Ovarian Tumors

BackgroundPreoperative differentiation of benign and malignant tumor types is critical for providing individualized treatment interventions to improve prognosis of patients with ovarian cancer. High-throughput proteomics analysis of urine samples was performed to identify reliable and non-invasive b...

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Principais autores:	Maowei Ni, Jie Zhou, Zhihui Zhu, Jingtao Yuan, Wangang Gong, Jianqing Zhu, Zhiguo Zheng, Huajun Zhao
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Frontiers Media S.A. 2021-08-01
סדרה:	Frontiers in Cell and Developmental Biology
נושאים:	urinary proteomics machine learning ovarian cancer non-invasive biomarkers mass spectrometry
גישה מקוונת:	https://www.frontiersin.org/articles/10.3389/fcell.2021.712196/full
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