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Remodeling of central metabolism in invasive breast cancer compared to normal breast tissue

Authors :
Manfred Dietel
Mika Hilvo
Matej Orešič
Carsten Denkert
Julian L. Griffin
Reza M. Salek
Christiane Richter-Ehrenstein
Berit Maria Müller
Scarlet F. Brockmöller
Gert Wohlgemuth
Ulrike Marten
Oliver Fiehn
Balazs Gyorffy
Jan Budczies
Frederick Klauschen
Griffin, Julian [0000-0003-1336-7744]
Apollo - University of Cambridge Repository
Source :
Budczies, J, Denkert, C, Müller, B M, Brockmöller, S F, Klauschen, F, Györffy, B, Dietel, M, Richter-Ehrenstein, C, Marten, U, Salek, R M, Griffin, J L, Hilvo, M, Orešič, M, Wohlgemuth, G & Fiehn, O 2012, ' Remodeling of central metabolism in invasive breast cancer compared to normal breast tissue : A GC-TOFMS based metabolomics study ', BMC Genomics, vol. 13, no. 1, e334 . https://doi.org/10.1186/1471-2164-13-334, Budczies, Jan; Denkert, Carsten; Müller, Berit M; Brockmöller, Scarlet F; Klauschen, Frederick; Györffy, Balazs; et al.(2012). Remodeling of central metabolism in invasive breast cancer compared to normal breast tissue-a GC-TOFMS based metabolomics study. BMC Genomics, 13(1), 334. doi: http://dx.doi.org/10.1186/1471-2164-13-334. Retrieved from: http://www.escholarship.org/uc/item/5wz273zg, BMC Genomics, BMC Genomics, Vol 13, Iss 1, p 334 (2012)
Publication Year :
2012
Publisher :
BioMed Central, 2012.

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 :
OpenAIRE
Journal :
BMC Genomics
Accession number :
edsair.doi.dedup.....087b7a34eb86e86d69cb6e8a374d427a
Full Text :
https://doi.org/10.1186/1471-2164-13-334