Metabolomics biomarkers of frailty in elderly breast cancer patients

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Abstract

Metabolome analysis has emerged as a powerful technique for detecting and define specific physio-pathological phenotypes. In this investigation the diagnostic potential of metabolomics has been applied to better characterize the multiple biochemical alterations that concur in the definition of the frailty phenotype observed in elderly breast cancer patients. The study included 89 women with breast cancer (range 70-97 years) classified as Fit (n=49), Unfit (n=23), or Frail (n=17) according to comprehensive geriatric assessment. The serum metabolomic profile was performed by tandem mass spectrometry and included different classes of metabolites such as amino acids, acylcarnitines, sphingo-, and glycerol-phospolipids. ANOVA was applied to identify the metabolites differing significantly among Fit, Unfit, and Frail patients. In patients carrying the frail phenotype, the amino acid perturbations involve serine, tryptophan, hydroxyproline, histidine, its derivate 3-methyl-hystidine, cystine, and β-aminoisobutyric acid. With regard to lipid metabolism, the frailty phenotype was characterized by a decrease of a wide number of glycerol- and sphingo-phospholipid metabolites. These metabolomics biomarkers may give a further insight into the biochemical processes involved in the development of frailty in breast cancer patients. Moreover, they might be useful to refine the comprehensive geriatric assessment model. J. Cell. Physiol. 229: 898-902, 2014.

Original languageEnglish
Pages (from-to)898-902
Number of pages5
JournalJournal of Cellular Physiology
Volume229
Issue number7
DOIs
Publication statusPublished - 2014

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Metabolomics
Biomarkers
Metabolites
Geriatrics
Breast Neoplasms
Geriatric Assessment
Phenotype
Glycerol
Aminoisobutyric Acids
Amino Acids
Biochemical Phenomena
Cystine
Hydroxyproline
Analysis of variance (ANOVA)
Histidine
Tryptophan
Serine
Mass spectrometry
Metabolome
Phospholipids

ASJC Scopus subject areas

  • Clinical Biochemistry
  • Cell Biology
  • Physiology

Cite this

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title = "Metabolomics biomarkers of frailty in elderly breast cancer patients",
abstract = "Metabolome analysis has emerged as a powerful technique for detecting and define specific physio-pathological phenotypes. In this investigation the diagnostic potential of metabolomics has been applied to better characterize the multiple biochemical alterations that concur in the definition of the frailty phenotype observed in elderly breast cancer patients. The study included 89 women with breast cancer (range 70-97 years) classified as Fit (n=49), Unfit (n=23), or Frail (n=17) according to comprehensive geriatric assessment. The serum metabolomic profile was performed by tandem mass spectrometry and included different classes of metabolites such as amino acids, acylcarnitines, sphingo-, and glycerol-phospolipids. ANOVA was applied to identify the metabolites differing significantly among Fit, Unfit, and Frail patients. In patients carrying the frail phenotype, the amino acid perturbations involve serine, tryptophan, hydroxyproline, histidine, its derivate 3-methyl-hystidine, cystine, and β-aminoisobutyric acid. With regard to lipid metabolism, the frailty phenotype was characterized by a decrease of a wide number of glycerol- and sphingo-phospholipid metabolites. These metabolomics biomarkers may give a further insight into the biochemical processes involved in the development of frailty in breast cancer patients. Moreover, they might be useful to refine the comprehensive geriatric assessment model. J. Cell. Physiol. 229: 898-902, 2014.",
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AU - Polesel, Jerry

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AU - Crivellari, Diana

AU - Addobbati, Riccardo

AU - Cervo, Silvia

AU - Toffoli, Giuseppe

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