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The Journal of Maternal-Fetal & Neonatal Medicine Volume 26, 2013 - Issue sup2: 9th International Workshop on Neonatology: Evidence Based Medicine and Metabolomics Based Evidence In Neonatology and Pediatrics
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Review Article

Metabolomics in paediatric oncology: a potential still to be exploited

Laura SpigaNeonatal Intensive Care Unit, Puericulture Institute and Neonatal Section, University of Cagliari CagliariItaly
,
Luigi AtzoriDepartment of Biomedical Sciences, University of Cagliari CagliariItaly
,
Antonio NotoNeonatal Intensive Care Unit, Puericulture Institute and Neonatal Section, University of Cagliari CagliariItaly
,
Corrado MorettiPediatric Emergency and Intensive Care Unit, Department of Pediatrics, Sapienza University of Rome RomeItaly
,
Michele MussapDepartment of Laboratory Medicine, IRCCS San Martino-IST, University-Hospital Genova, GenovaItalyCorrespondence[email protected] [email protected]
,
Alice MasileNeonatal Intensive Care Unit, Puericulture Institute and Neonatal Section, University of Cagliari CagliariItaly
,
Milena LussuNeonatal Intensive Care Unit, Puericulture Institute and Neonatal Section, University of Cagliari CagliariItaly
&
Vassilios FanosNeonatal Intensive Care Unit, Puericulture Institute and Neonatal Section, University of Cagliari CagliariItaly
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Pages 20-23 | Published online: 23 Sep 2013
 
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Abstract

Oncology is a branch of medicine in rapid evolution in the attempt to find innovative methods for early diagnosis and a better understanding of tumoral processes leading to the development of new therapies. Metabolomics is the emerging discipline among the “omics” sciences which makes it possible to further expand our knowledge concerning cancer biology. Different studies have revealed the potential role of metabolomics in gaining an understanding of pathophysiological processes in cancer, improving tumor staging, characterizing tumors and searching for biomarkers predictive of therapeutic responses. However, to date there are few works aimed at gaining deeper insights into infantile oncology through metabolomics.

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