Toxins (Jun 2021)

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

  • 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

DOI
https://doi.org/10.3390/toxins13070461
Journal volume & issue
Vol. 13, no. 7
p. 461

Abstract

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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 individual’s current phenotype. In particular, plasma metabolome analyses can be useful for biomarker identification. In this study, we analyzed 624 metabolites, including uremic toxins (UTx) in plasma derived from 80 patients with EOC using ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS). Compared with the healthy control, we detected 77 significantly increased metabolites and 114 significantly decreased metabolites in EOC patients. Especially, decreased concentrations of lysophosphatidylcholines and phosphatidylcholines and increased concentrations of triglycerides were observed, indicating a metabolic profile characteristic of EOC patients. After calculating the parameters of each metabolic index, we found that higher ratios of kynurenine to tryptophan correlates with worse prognosis in EOC patients. Kynurenine, one of the UTx, can affect the prognosis of EOC. Our results demonstrated that plasma metabolome analysis is useful not only for the diagnosis of EOC, but also for predicting prognosis with the variation of UTx and evaluating response to chemotherapy.

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