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Remodeling of central metabolism in invasive breast cancer compared to normal breast tissue – a GC-TOFMS based metabolomics study

Authors :
Budczies Jan
Denkert Carsten
Müller Berit M
Brockmöller Scarlet F
Klauschen Frederick
Györffy Balazs
Dietel Manfred
Richter-Ehrenstein Christiane
Marten Ulrike
Salek Reza M
Griffin Julian L
Hilvo Mika
Orešič Matej
Wohlgemuth Gert
Fiehn Oliver
Source :
BMC Genomics, Vol 13, Iss 1, p 334 (2012)
Publication Year :
2012
Publisher :
BMC, 2012.

Abstract

Abstract Background Changes in energy metabolism of the cells are common to many kinds of tumors and are considered a hallmark of cancer. Gas chromatography followed by time-of-flight mass spectrometry (GC-TOFMS) is a well-suited technique to investigate the small molecules in the central metabolic pathways. However, the metabolic changes between invasive carcinoma and normal breast tissues were not investigated in a large cohort of breast cancer samples so far. Results A cohort of 271 breast cancer and 98 normal tissue samples was investigated using GC-TOFMS-based metabolomics. A total number of 468 metabolite peaks could be detected; out of these 368 (79%) were significantly changed between cancer and normal tissues (p80%. Two-metabolite classifiers, constructed as ratios of the tumor and normal tissues markers, separated cancer from normal tissues with high sensitivity and specificity. Specifically, the cytidine-5-monophosphate / pentadecanoic acid metabolic ratio was the most significant discriminator between cancer and normal tissues and allowed detection of cancer with a sensitivity of 94.8% and a specificity of 93.9%. Conclusions For the first time, a comprehensive metabolic map of breast cancer was constructed by GC-TOF analysis of a large cohort of breast cancer and normal tissues. Furthermore, our results demonstrate that spectrometry-based approaches have the potential to contribute to the analysis of biopsies or clinical tissue samples complementary to histopathology.

Details

Language :
English
ISSN :
14712164
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Genomics
Publication Type :
Academic Journal
Accession number :
edsdoj.422f5c0bc54042758b155b5ba1e0ba98
Document Type :
article
Full Text :
https://doi.org/10.1186/1471-2164-13-334