title: Metabolomics for mitochondrial and cancer studies.
abstract: Metabolomics, a high-throughput global metabolite analysis, is a burgeoning field, and in recent times has shown substantial evidence to support its emerging role in cancer diagnosis, cancer recurrence, and prognosis, as well as its impact in identifying novel cancer biomarkers and developing cancer therapeutics. Newly evolving advances in disease diagnostics and therapy will further facilitate future growth in the field of metabolomics, especially in cancer, where there is a dire need for sensitive and more affordable diagnostic tools and an urgency to develop effective therapies and identify reliable biomarkers to predict accurately the response to a therapy. Here, we review the application of metabolomics in cancer and mitochondrial studies and its role in enabling the understanding of altered metabolism and malignant transformation during cancer growth and metastasis. The recent developments in the area of metabolic flux analysis may help to close the gap between clinical metabolomics research and the development of cancer metabolome. In the era of personalized medicine with more and more patient specific targeted therapies being used, we need reliable, dynamic, faster, and yet sensitive biomarkers both to track the disease and to develop and evolve therapies during the course of treatment. Recent advances in metabolomics along with the novel strategies to analyze, understand, and construct the metabolic pathways opens this window of opportunity in a very cost-effective manner.
authors.affiliation: Department of Chemical and Biomolecular Engineering, Department of Bioengineering, Rice University, 6100 Main St, Houston, TX 77005, USA. deepak_nagrath@rice.edu
authors.forename: Deepak
authors.initials: D
authors.lastname: Nagrath
authors.forename: Christine
authors.initials: C
authors.lastname: Caneba
authors.forename: Thasni
authors.initials: T
authors.lastname: Karedath
authors.forename: Nadege
authors.initials: N
authors.lastname: Bellance
mesh_terms: D000818:Animals; D014408:Biomarkers, Tumor / Q000032:analysis / Q000378:metabolism; D006801:Humans; D055442:Metabolome / Q000502:physiology; D055432:Metabolomics; D008928:Mitochondria / Q000737:chemistry / Q000378:metabolism*; D008954:Models, Biological; D009369:Neoplasms / Q000378:metabolism*; D012106:Research
chemical_list: D014408:Biomarkers, Tumor