Computational models applied to metabolomics data hints at the relevance of glutamine metabolism in breast cancer

BMC Cancer. 2020 Apr 15;20(1):307. doi: 10.1186/s12885-020-06764-x.

Abstract

Background: Metabolomics has a great potential in the development of new biomarkers in cancer and it has experiment recent technical advances.

Methods: In this study, metabolomics and gene expression data from 67 localized (stage I to IIIB) breast cancer tumor samples were analyzed, using (1) probabilistic graphical models to define associations using quantitative data without other a priori information; and (2) Flux Balance Analysis and flux activities to characterize differences in metabolic pathways.

Results: On the one hand, both analyses highlighted the importance of glutamine in breast cancer. Moreover, cell experiments showed that treating breast cancer cells with drugs targeting glutamine metabolism significantly affects cell viability. On the other hand, these computational methods suggested some hypotheses and have demonstrated their utility in the analysis of metabolomics data and in associating metabolomics with patient's clinical outcome.

Conclusions: Computational analyses applied to metabolomics data suggested that glutamine metabolism is a relevant process in breast cancer. Cell experiments confirmed this hypothesis. In addition, these computational analyses allow associating metabolomics data with patient prognosis.

Keywords: Breast cancer; Computational analyses; Glutamine metabolism; Metabolomics.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Antineoplastic Agents / pharmacology
  • Antineoplastic Agents / therapeutic use
  • Breast Neoplasms / drug therapy
  • Breast Neoplasms / genetics
  • Breast Neoplasms / metabolism*
  • Breast Neoplasms / pathology
  • Cell Line, Tumor
  • Cell Proliferation / drug effects
  • Cell Survival / drug effects
  • Databases, Genetic
  • Female
  • Gene Expression Profiling / methods*
  • Gene Expression Regulation, Neoplastic / drug effects
  • Glutamine / metabolism*
  • Humans
  • MCF-7 Cells
  • Metabolic Networks and Pathways* / drug effects
  • Metabolomics / methods*
  • Middle Aged
  • Models, Theoretical
  • Neoplasm Staging

Substances

  • Antineoplastic Agents
  • Glutamine