Wide-Targeted Metabolome Analysis Identifies Potential Biomarkers for Prognosis Prediction of Epithelial Ovarian Cancer

Wide-Targeted Metabolome Analysis Identifies Potential Biomarkers for Prognosis Prediction of Epithelial Ovarian Cancer

Epithelial ovarian cancer (EOC) is a fatal gynecologic cancer, and its poor prognosis is mainly due to delayed diagnosis. Therefore, biomarker identification and prognosis prediction are crucial in EOC. Altered cell metabolism is a characteristic feature of cancers, and metabolomics reflects an indi...

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Bibliographic Details
Main Authors: Eiji Hishinuma, Muneaki Shimada, Naomi Matsukawa, Daisuke Saigusa, Bin Li, Kei Kudo, Keita Tsuji, Shogo Shigeta, Hideki Tokunaga, Kazuki Kumada, Keigo Komine, Hidekazu Shirota, Yuichi Aoki, Ikuko N. Motoike, Jun Yasuda, Kengo Kinoshita, Masayuki Yamamoto, Seizo Koshiba, Nobuo Yaegashi
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Toxins
Subjects:
metabolomics
epithelial ovarian cancer
biomarker
ratio of kynurenine and tryptophan
uremic toxins
Online Access:https://www.mdpi.com/2072-6651/13/7/461

Internet

https://www.mdpi.com/2072-6651/13/7/461

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