Back to Search
Start Over
Remodeling of central metabolism in invasive breast cancer compared to normal breast tissue
- 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.
- Subjects :
- Pathology
Metabolite
Medical Biotechnology (with a focus on Cell Biology (including Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy)
Fatty Acids, Nonesterified
Pentadecanoic acid
Bioinformatics
Proteomics
chemistry.chemical_compound
0302 clinical medicine
Breast cancer
Cluster Analysis
Breast
Amino Acids
skin and connective tissue diseases
11 Medical and Health Sciences
Principal Component Analysis
0303 health sciences
Gas chromatography
Nucleotides
3. Good health
030220 oncology & carcinogenesis
Cohort
Female
Research Article
Biotechnology
medicine.medical_specialty
lcsh:QH426-470
lcsh:Biotechnology
Breast Neoplasms
Glycerophospholipids
Biology
Gas Chromatography-Mass Spectrometry
03 medical and health sciences
Metabolomics
SDG 3 - Good Health and Well-being
lcsh:TP248.13-248.65
Genetics
medicine
Humans
Neoplasm Invasiveness
Medicinsk bioteknologi (med inriktning mot cellbiologi (inklusive stamcellsbiologi), molekylärbiologi, mikrobiologi, biokemi eller biofarmaci)
030304 developmental biology
Cancer och onkologi
Mass spectrometry
Cancer
06 Biological Sciences
medicine.disease
Cancer detection
lcsh:Genetics
chemistry
Cancer and Oncology
Histopathology
08 Information and Computing Sciences
sense organs
Energy Metabolism
Subjects
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