Metabolomics-Driven Biomarker Discovery for Breast Cancer Prognosis and Diagnosis. Cells 2024 Dec 25;14(1)
Date
01/10/2025Pubmed ID
39791706Pubmed Central ID
PMC11720085DOI
10.3390/cells14010005Scopus ID
2-s2.0-85214466028 (requires institutional sign-in at Scopus site) 9 CitationsAbstract
Breast cancer is a cancer with global prevalence and a surge in the number of cases with each passing year. With the advancement in science and technology, significant progress has been achieved in the prevention and treatment of breast cancer to make ends meet. The scientific intradisciplinary subject of "metabolomics" examines every metabolite found in a cell, tissue, system, or organism from different sources of samples. In the case of breast cancer, little is known about the regulatory pathways that could be resolved through metabolic reprogramming. Evidence related to the significant changes taking place during the onset and prognosis of breast cancer can be obtained using metabolomics. Innovative metabolomics approaches identify metabolites that lead to the discovery of biomarkers for breast cancer therapy, diagnosis, and early detection. The use of diverse analytical methods and instruments for metabolomics includes Magnetic Resonance Spectroscopy, LC/MS, UPLC/MS, etc., which, along with their high-throughput analysis, give insights into the metabolites and the molecular pathways involved. For instance, metabolome research has led to the discovery of the glutamate-to-glutamate ratio and aerobic glycolysis as biomarkers in breast cancer. The present review comprehends the updates in metabolomic research and its processes that contribute to breast cancer prognosis and metastasis. The metabolome holds a future, and this review is an attempt to amalgamate the present relevant literature that might yield crucial insights for creating innovative therapeutic strategies aimed at addressing metastatic breast cancer.
Author List
Kaur R, Gupta S, Kulshrestha S, Khandelwal V, Pandey S, Kumar A, Sharma G, Kumar U, Parashar D, Das KAuthor
Deepak Parashar PhD Assistant Professor in the Medicine department at Medical College of WisconsinMESH terms used to index this publication - Major topics in bold
Biomarkers, TumorBreast Neoplasms
Female
Humans
Metabolome
Metabolomics
Prognosis









