Metabolic Footprints and Molecular Subtypes in Breast Cancer
Joint Authors
Daidone, Maria Grazia
Cappelletti, Vera
Iorio, Egidio
Miodini, Patrizia
Silvestri, Marco
Dugo, Matteo
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-12-24
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
Cancer treatment options are increasing.
However, even among the same tumor histotype, interpatient tumor heterogeneity should be considered for best therapeutic result.
Metabolomics represents the last addition to promising “omic” sciences such as genomics, transcriptomics, and proteomics.
Biochemical transformation processes underlying energy production and biosynthetic processes have been recognized as a hallmark of the cancer cell and hold a promise to build a bridge between genotype and phenotype.
Since breast tumors represent a collection of different diseases, understanding metabolic differences between molecular subtypes offers a way to identify new subtype-specific treatment strategies, especially if metabolite changes are evaluated in the broader context of the network of enzymatic reactions and pathways.
Here, after a brief overview of the literature, original metabolomics data in a series of 92 primary breast cancer patients undergoing surgery at the Istituto Nazionale dei Tumori of Milano are reported highlighting a series of metabolic differences across various molecular subtypes.
In particular, the difficult-to-treat luminal B subgroup represents a tumor type which preferentially relies on fatty acids for energy, whereas HER2 and basal-like ones show prevalently alterations in glucose/glutamine metabolism.
American Psychological Association (APA)
Cappelletti, Vera& Iorio, Egidio& Miodini, Patrizia& Silvestri, Marco& Dugo, Matteo& Daidone, Maria Grazia. 2017. Metabolic Footprints and Molecular Subtypes in Breast Cancer. Disease Markers،Vol. 2017, no. 2017, pp.1-19.
https://search.emarefa.net/detail/BIM-1152495
Modern Language Association (MLA)
Cappelletti, Vera…[et al.]. Metabolic Footprints and Molecular Subtypes in Breast Cancer. Disease Markers No. 2017 (2017), pp.1-19.
https://search.emarefa.net/detail/BIM-1152495
American Medical Association (AMA)
Cappelletti, Vera& Iorio, Egidio& Miodini, Patrizia& Silvestri, Marco& Dugo, Matteo& Daidone, Maria Grazia. Metabolic Footprints and Molecular Subtypes in Breast Cancer. Disease Markers. 2017. Vol. 2017, no. 2017, pp.1-19.
https://search.emarefa.net/detail/BIM-1152495
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1152495