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Liquid biopsy markers for early diagnosis of brain metastasis patients with breast cancer by metabolomics.
Özer, Özge; Nemutlu, Emirhan; Reçber, Tuba; Eylem, Cemil Can; Aktas, Burak Yasin; Kir, Sedef; Kars, Ayse; Aksoy, Sercan.
Afiliación
  • Özer Ö; Department of Internal Medicine, Hacettepe University School of Medicine, Ankara, Turkey.
  • Nemutlu E; Faculty of Pharmacy, Department of Analytical Chemistry, 37515Hacettepe University, Ankara, Turkey.
  • Reçber T; Faculty of Pharmacy, Department of Analytical Chemistry, 37515Hacettepe University, Ankara, Turkey.
  • Eylem CC; Faculty of Pharmacy, Department of Analytical Chemistry, 37515Hacettepe University, Ankara, Turkey.
  • Aktas BY; Department of Medical Oncology, Hacettepe University Cancer Institute, Ankara, Turkey.
  • Kir S; Faculty of Pharmacy, Department of Analytical Chemistry, 37515Hacettepe University, Ankara, Turkey.
  • Kars A; Department of Medical Oncology, Hacettepe University Cancer Institute, Ankara, Turkey.
  • Aksoy S; Department of Medical Oncology, Hacettepe University Cancer Institute, Ankara, Turkey.
Eur J Mass Spectrom (Chichester) ; 28(1-2): 56-64, 2022 Feb.
Article en En | MEDLINE | ID: mdl-35422172
Introduction: Breast cancer is the most common cancer in women and is the second most common cause of cancer related mortality. Metabolomics, the identification of small metabolites, is a technique for determining the amount of these metabolites. Objectives: This study aimed to identify markers for the early diagnosis of brain metastasis by metabolomic methods in breast cancer patients. Methods: A total of 88 breast cancer patients with distant metastases were included in the study. The patients were divided into two groups according to their metastasis status: patients with brain metastases and distant metastases without any brain metastases. Liquid chromatography quadrupole time-of-flight mass spectrometry (LC-qTOF-MS) and gas chromatography-mass spectrometry (GC-MS) analysis methods were used for metabolomic analyses. Results: 33 of them, 88 patients had brain metastasis, and 55 patients had distant metastases without brain metastasis. A total of 72 and 35 metabolites were identified by the GC-MS and LC-qTOF-MS analysis, respectively. 47 of them were found to be significantly different in patients with brain metastasis. The pathway analysis, performed with significantly altered metabolites, showed that aminoacyl tRNA biosynthesis, valine, leucine and isoleucine biosynthesis, alanine, aspartate, and glutamate metabolism, arginine biosynthesis, glycine, serine, and threonine metabolism pathways significantly altered in patients with brain metastasis. Predictive accuracies for have identifying the brain metastasis were performed with receiver operating characteristic (ROC) analysis, and the model with fifteen metabolites has 96.9% accuracy. Conclusions: While these results should be supported by prospective studies, these data are promising for early detection of brain metastasis with markers in liquid biopsy samples.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Neoplasias de la Mama Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Female / Humans Idioma: En Revista: Eur J Mass Spectrom (Chichester) Año: 2022 Tipo del documento: Article País de afiliación: Turquía Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Neoplasias de la Mama Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Female / Humans Idioma: En Revista: Eur J Mass Spectrom (Chichester) Año: 2022 Tipo del documento: Article País de afiliación: Turquía Pais de publicación: Reino Unido