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Updated: May 16, 2025

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Metabolomics-enabled biomarker discovery in breast cancer research
Julia Füreder1, Eva S Schernhammer2, A Heather Eliassen3
1Department of Food Chemistry and Toxicology, Faculty of Chemistry, University of Vienna, 1090 Vienna, Austria; Vienna Doctoral School in Chemistry (DoSChem), University of Vienna, 1090 Vienna, Austria.
Abstract:
Breast cancer (BC) remains the most prevalent malignancy among women worldwide. While genetic predisposition and reproductive history are key contributors to its development, modifiable risk factors are also important, particularly those linked to lifestyle behaviors, often influencing the endogenous metabolome. Over the past decade, mass spectrometry-based metabolomics has enabled agnostic investigations into correlations between the metabolome and BC risk. Here we review recent results from prospective nested case-control studies, which have led to the identification of significantly different metabolites between women who subsequently developed BC and those who did not. As replication of these findings remains limited, we emphasize the need for robust quantitative validation studies, cancer subtype-specific analyses in diverse populations, and expanded chemical space coverage of analytical assays.

