Liquid biopsy markers for early diagnosis of brain metastasis patients with breast cancer by metabolomics. Issue 1 (April 2022)

• Record Type: Journal Article
• Authors: Özer, Özge; Nemutlu, Emirhan; Reçber, Tuba; Eylem, Cemil Can; Aktas, Burak Yasin; Kır, Sedef; Kars, Ayse; Aksoy, Sercan
• Is Part Of: European journal of mass spectrometry. Volume 28:Issue 1/2(2022)
• Page Start: 56
• Page End: 64
• Publication Date: 2022-04
• Subjects: Breast cancer -- metabolomics -- brain metastasis -- liquid biopsy -- plasma; Mass spectrometry -- Periodicals; Mass Spectrometry; Mass spectrometry; Periodicals; Periodicals; 543.6505
• DOI: 10.1177/14690667221093871
• Languages: English
• ISSNs: 1469-0667

Abstract

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.