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Endocrine Abstracts (2017) 49 NSA1 | DOI: 10.1530/endoabs.49.NSA1

ECE2017 New Scientific Approaches (1) (7 abstracts)

Identifying molecular signatures for cancer patient stratification via metabolomics and integrative bioinformatics

Hector Keun


UK.


Altered metabolism in tumor cells is required for rapid proliferation but also can influence other phenotypes that affect clinical outcomes such as metastasis and sensitivity to chemotherapy. Integration of metabolome and transcriptome data for the NCI-60 panel of cancer cells lines allowed us to identify ecto-5′-nucleotidase (NT5E or CD73) and miRNA-22 as a major determinants of metabolic phenotypes in cancer cells. NT5E expression and associated metabolome variations were also correlated with sensitivity to several chemotherapeutics including platinum-based treatment. We observed that tumor NT5E levels were prognostic for outcomes in ovarian cancer and were elevated after treatment with platinum, supporting the translational relevance of our findings. The cancer-associated and cardioprotective miR-22 was shown to repress fatty acid synthesis and elongation in tumour cells by targeting ATP citrate lyase and fatty acid elongase 6, as well as impairing mitochondrial one-carbon metabolism by suppression of methylene tetrahydrofolate dehydrogenase/cyclohydrolase (MTHFD2). Importantly, a beneficial effect of miR-22 on clinical outcomes in breast cancer was shown to depend on the expression levels of the identified target genes, demonstrating the relevance of miRNA/mRNA interactions to disease progression in vivo. These studies illustrate one route towards patient stratification based the rational combination of different types of molecular biomarkers for metabolic processes.

Volume 49

19th European Congress of Endocrinology

Lisbon, Portugal
20 May 2017 - 23 May 2017

European Society of Endocrinology 

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