BMC Genomics (Jul 2012)

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

  • 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

DOI
https://doi.org/10.1186/1471-2164-13-334
Journal volume & issue
Vol. 13, no. 1
p. 334

Abstract

Read online

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.

Keywords