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Int. J. Mol. Sci. 2016, 17(12), 1992; doi:10.3390/ijms17121992

Advances in Lipidomics for Cancer Biomarkers Discovery

1
Department of Neurosciences and Imaging, University “G. d’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy
2
Radiation Oncology Unit, SS Annunziata Hospital, 66100 Chieti, Italy
3
Department of Pharmacy, University “G. d’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy
4
Department of Medical Oral and Biotechnological Sciences, University “G. d’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy
5
Analitical Biochemistry and Proteomics Unit, Research Centre on Aging (Ce.S.I), University “G. d’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Ting-Li (Morgan) Han
Received: 29 September 2016 / Revised: 11 November 2016 / Accepted: 22 November 2016 / Published: 28 November 2016
(This article belongs to the Special Issue Metabolomic Technologies in Medicine)
View Full-Text   |   Download PDF [2034 KB, uploaded 28 November 2016]   |  

Abstract

Lipids play critical functions in cellular survival, proliferation, interaction and death, since they are involved in chemical-energy storage, cellular signaling, cell membranes, and cell–cell interactions. These cellular processes are strongly related to carcinogenesis pathways, particularly to transformation, progression, and metastasis, suggesting the bioactive lipids are mediators of a number of oncogenic processes. The current review gives a synopsis of a lipidomic approach in tumor characterization; we provide an overview on potential lipid biomarkers in the oncology field and on the principal lipidomic methodologies applied. The novel lipidomic biomarkers are reviewed in an effort to underline their role in diagnosis, in prognostic characterization and in prediction of therapeutic outcomes. A lipidomic investigation through mass spectrometry highlights new insights on molecular mechanisms underlying cancer disease. This new understanding will promote clinical applications in drug discovery and personalized therapy. View Full-Text
Keywords: cancer; lipidomics; biomarkers; prognostic factors; diagnostic factors cancer; lipidomics; biomarkers; prognostic factors; diagnostic factors
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MDPI and ACS Style

Perrotti, F.; Rosa, C.; Cicalini, I.; Sacchetta, P.; Del Boccio, P.; Genovesi, D.; Pieragostino, D. Advances in Lipidomics for Cancer Biomarkers Discovery. Int. J. Mol. Sci. 2016, 17, 1992.

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