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

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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Bibliographic Details
Main Authors: Maowei Ni, Jie Zhou, Zhihui Zhu, Jingtao Yuan, Wangang Gong, Jianqing Zhu, Zhiguo Zheng, Huajun Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Cell and Developmental Biology
Subjects:
urinary proteomics
machine learning
ovarian cancer
non-invasive biomarkers
mass spectrometry
Online Access:https://www.frontiersin.org/articles/10.3389/fcell.2021.712196/full

Internet

https://www.frontiersin.org/articles/10.3389/fcell.2021.712196/full

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