Mass Spectrometry-Based Oncometabolomics

XIAOLING ZANG; MARÍA EUGENIA MONGE; CHRISTINA M. JONES; TRAN QUOC LONG; ALEXANDER GRAY; JOHN F. MCDONALD; JAEYEON KIM; MARTIN M. MATZUK; FACUNDO M. FERNÁNDEZ

Chicago

Conferencia; Pittcon 2014; 2014

Metabolomes, the ?mirror on the wall? for complex proteomes and transcriptomes show strong promise for generating new hypothesis regarding the early stages of cancer development, and for revealing biomarkers providing multivariate diagnostic indexes. Mass spectrometry-based metabolomic technologies have a demonstrated potential for early disease detection in clinical settings (e.g. newborn screening), provided the specific assays employed have the sample throughput, robustness and reproducibility necessary to handle numerous clinical samples reproducibly. In this talk, I will discuss recent results from our team of collaborators involving the use of metabolomic workflows involving mass spectrometric measurements in serum samples coupled to support vector machine learning with the aim of identifying panels of metabolic features that can detect ovarian and prostate cancers at early stages in both human and mouse models.