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Investigation of altered urinary metabolomic profiles of invasive ductal carcinoma of breast using targeted and untargeted approaches.
More, Tushar H; Taware, Ravindra; Taunk, Khushman; Chanukuppa, Venkatesh; Naik, Venkateshwarlu; Mane, Anupama; Rapole, Srikanth.
Afiliação
  • More TH; Proteomics Lab, National Centre for Cell Science, Ganeshkhind, Pune, 411007, MH, India.
  • Taware R; Savitribai Phule Pune University, Ganeshkhind, Pune, 411007, MH, India.
  • Taunk K; Proteomics Lab, National Centre for Cell Science, Ganeshkhind, Pune, 411007, MH, India.
  • Chanukuppa V; Proteomics Lab, National Centre for Cell Science, Ganeshkhind, Pune, 411007, MH, India.
  • Naik V; Proteomics Lab, National Centre for Cell Science, Ganeshkhind, Pune, 411007, MH, India.
  • Mane A; Savitribai Phule Pune University, Ganeshkhind, Pune, 411007, MH, India.
  • Rapole S; Proteomics Lab, National Centre for Cell Science, Ganeshkhind, Pune, 411007, MH, India.
Metabolomics ; 14(8): 107, 2018 08 10.
Article em En | MEDLINE | ID: mdl-30830381
ABSTRACT

INTRODUCTION:

Invasive ductal carcinoma (IDC) is a type of breast cancer, usually detected in advanced stages due to its asymptomatic nature which ultimately leads to low survival rate. Identification of urinary metabolic adaptations induced by IDC to understand the disease pathophysiology and monitor therapy response would be a helpful approach in clinical settings. Moreover, its non-invasive and cost effective strategy better suited to minimize apprehension among high risk population.

OBJECTIVE:

This study aims toward investigating the urinary metabolic alterations of IDC by targeted (LC-MRM/MS) and untargeted (GC-MS) approaches for the better understanding of the disease pathophysiology and monitoring therapy response.

METHODS:

Urinary metabolic alterations of IDC subjects (63) and control subjects (63) were explored by targeted (LC-MRM/MS) and untargeted (GC-MS) approaches. IDC specific urinary metabolomics signature was extracted by applying both univariate and multivariate statistical tools.

RESULTS:

Statistical analysis identified 39 urinary metabolites with the highest contribution to metabolomic alterations specific to IDC. Out of which, 19 metabolites were identified from targeted LC-MRM/MS analysis, while 20 were identified from the untargeted GC-MS analysis. Receiver operator characteristic (ROC) curve analysis evidenced 6 most discriminatory metabolites from each type of approach that could differentiate between IDC subjects and controls with higher sensitivity and specificity. Furthermore, metabolic pathway analysis depicted several dysregulated pathways in IDC including sugar, amino acid, nucleotide metabolism, TCA cycle etc.

CONCLUSIONS:

Overall, this study provides valuable inputs regarding altered urinary metabolites which improved our knowledge on urinary metabolomic alterations induced by IDC. Moreover, this study identified several dysregulated metabolic pathways which offer further insight into the disease pathophysiology.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Cromatografia Líquida / Carcinoma Ductal de Mama / Espectrometria de Massas em Tandem / Metaboloma / Cromatografia Gasosa-Espectrometria de Massas Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Revista: Metabolomics Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Índia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Cromatografia Líquida / Carcinoma Ductal de Mama / Espectrometria de Massas em Tandem / Metaboloma / Cromatografia Gasosa-Espectrometria de Massas Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Revista: Metabolomics Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Índia