Literature DB >> 30426507

A plasma metabolite panel as biomarkers for early primary breast cancer detection.

Baowen Yuan1,2, Simon Schafferer3, Qiuqiong Tang1,2, Matthias Scheffler3, Juliane Nees4,5, Jörg Heil5, Sarah Schott1, Michael Golatta5, Markus Wallwiener4,5, Christof Sohn5, Therese Koal3, Barbara Wolf3, Andreas Schneeweiß4,5, Barbara Burwinkel1,2.   

Abstract

In recent years, metabolites have attracted substantial attention as promising novel biomarkers of various diseases. However, breast cancer plasma metabolite studies are still in their infancy. Here, we investigated the potential of metabolites to serve as minimally invasive, early detection markers of primary breast cancer. We profiled metabolites extracted from the plasma of primary breast cancer patients and healthy controls using tandem mass spectrometry (UHPLC-MS/MS and FIA-MS/MS). Two metabolites were found to be upregulated, while 16 metabolites were downregulated in primary breast cancer patients compared to healthy controls in both the training and validation cohorts. A panel of seven metabolites was selected by LASSO regression analysis. This panel could differentiate primary breast cancer patients from healthy controls, with an AUC of 0.87 (95% CI: 0.81 ~ 0.92) in the training cohort and an AUC of 0.80 (95% CI: 0.71 ~ 0.87) in the validation cohort. These significantly differentiated metabolites are mainly involved in the amino acid metabolism and breast cancer cell growth pathways. In conclusion, using a metabolomics approach, we identified metabolites that have potential value for development of a multimarker blood-based test to complement and improve early breast cancer detection. The panel identified herein might be part of a prescreening tool, especially for younger women or for closely observing women with certain risks, to facilitate decision making regarding which individuals should undergo further diagnostic tests. In the future, the combination of metabolites and other blood-based molecular marker sets, such as DNA methylation, microRNA, and cell-free DNA mutation markers, will be an attractive option.
© 2018 UICC.

Entities:  

Keywords:  biomarker; breast cancer; detective marker; metabolites; metabolomics

Mesh:

Substances:

Year:  2019        PMID: 30426507     DOI: 10.1002/ijc.31996

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  12 in total

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6.  A non-invasive method for concurrent detection of early-stage women-specific cancers.

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9.  Using Serum Metabolomics to Predict Development of Anti-drug Antibodies in Multiple Sclerosis Patients Treated With IFNβ.

Authors:  Kirsty E Waddington; Artemis Papadaki; Leda Coelewij; Marsilio Adriani; Petra Nytrova; Eva Kubala Havrdova; Anna Fogdell-Hahn; Rachel Farrell; Pierre Dönnes; Inés Pineda-Torra; Elizabeth C Jury
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10.  Wide-Targeted Metabolome Analysis Identifies Potential Biomarkers for Prognosis Prediction of Epithelial Ovarian Cancer.

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Journal:  Toxins (Basel)       Date:  2021-06-30       Impact factor: 4.546

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