Advances in Lipidomics for Cancer Biomarkers Discovery
| Autor: | Consuelo Rosa, Piero Del Boccio, Domenico Genovesi, Damiana Pieragostino, Paolo Sacchetta, F. Perrotti, Ilaria Cicalini |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Cell signaling Disease Review Bioinformatics medicine.disease_cause Catalysis Metastasis lcsh:Chemistry Inorganic Chemistry 03 medical and health sciences 0302 clinical medicine Lipidomics Biomarkers Tumor Medicine cancer Humans Physical and Theoretical Chemistry lcsh:QH301-705.5 Molecular Biology Spectroscopy business.industry Drug discovery Organic Chemistry Cancer biomarkers prognostic factors General Medicine medicine.disease Lipid Metabolism Prognosis Lipids Computer Science Applications 030104 developmental biology lcsh:Biology (General) lcsh:QD1-999 030220 oncology & carcinogenesis diagnostic factors lipidomics Cancer biomarkers business Carcinogenesis |
| Zdroj: | International Journal of Molecular Sciences International Journal of Molecular Sciences, Vol 17, Iss 12, p 1992 (2016) Scopus-Elsevier |
| ISSN: | 1422-0067 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|