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Metabolomics of the Tumor Microenvironment in Pediatric Acute Lymphoblastic Leukemia

Overview of attention for article published in PLOS ONE, December 2013
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Title
Metabolomics of the Tumor Microenvironment in Pediatric Acute Lymphoblastic Leukemia
Published in
PLOS ONE, December 2013
DOI 10.1371/journal.pone.0082859
Pubmed ID
Authors

Stefano Tiziani, Yunyi Kang, Ricky Harjanto, Joshua Axelrod, Carlo Piermarocchi, William Roberts, Giovanni Paternostro

Abstract

The tumor microenvironment is emerging as an important therapeutic target. Most studies, however, are focused on the protein components, and relatively little is known of how the microenvironmental metabolome might influence tumor survival. In this study, we examined the metabolic profiles of paired bone marrow (BM) and peripheral blood (PB) samples from 10 children with acute lymphoblastic leukemia (ALL). BM and PB samples from the same patient were collected at the time of diagnosis and after 29 days of induction therapy, at which point all patients were in remission. We employed two analytical platforms, high-resolution magnetic resonance spectroscopy and gas chromatography-mass spectrometry, to identify and quantify 102 metabolites in the BM and PB. Standard ALL therapy, which includes l-asparaginase, completely removed circulating asparagine, but not glutamine. Statistical analyses of metabolite correlations and network reconstructions showed that the untreated BM microenvironment was characterized by a significant network-level signature: a cluster of highly correlated lipids and metabolites involved in lipid metabolism (p<0.006). In contrast, the strongest correlations in the BM upon remission were observed among amino acid metabolites and derivatives (p<9.2 × 10(-10)). This study provides evidence that metabolic characterization of the cancer niche could generate new hypotheses for the development of cancer therapies.

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Geographical breakdown

Country Count As %
Italy 1 1%
Unknown 94 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 22%
Student > Ph. D. Student 20 21%
Student > Bachelor 11 12%
Other 7 7%
Student > Master 7 7%
Other 17 18%
Unknown 12 13%
Readers by discipline Count As %
Medicine and Dentistry 26 27%
Agricultural and Biological Sciences 23 24%
Biochemistry, Genetics and Molecular Biology 15 16%
Chemistry 7 7%
Nursing and Health Professions 3 3%
Other 7 7%
Unknown 14 15%