Prediction of advanced ovarian cancer recurrence by plasma metabolic profiling.

Abstract:

:Epithelial ovarian cancer (EOC) is the most lethal of gynecologic malignancies due to the high rate of recurrence and poor prognosis. Predicting the prognosis in patients with EOC is clinically challenging, partly because appropriate biomarkers of recurrence have yet to be explored. In this prospective study, pre-treatment plasma samples were collected from 38 patients with stage III or IV EOC who were subsequently followed up. Ultra-performance liquid chromatography mass spectrometry was used to perform metabolic profiling, which yielded five metabolites that were potential biomarkers for EOC recurrence: l-tryptophan, kynurenine, bilirubin, LysoPC (14 : 0) and LysoPE (18 : 2). A combination of these five potential biomarkers strongly predicted recurrence, the area under the curve being 0.91. In summary, the candidate biomarkers identified in this study may both facilitate clinical prediction of EOC recurrence and prognosis and serve as potential therapeutic targets in patients with EOC.

journal_name

Mol Biosyst

journal_title

Molecular bioSystems

authors

Zhang H,Ge T,Cui X,Hou Y,Ke C,Yang M,Yang K,Wang J,Guo B,Zhang F,Lou G,Li K

doi

10.1039/c4mb00407h

subject

Has Abstract

pub_date

2015-02-01 00:00:00

pages

516-21

issue

2

eissn

1742-206X

issn

1742-2051

journal_volume

11

pub_type

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