Targeting Tumor Metabolism with Plant-Derived Natural Products: Emerging Trends in Cancer Therapy
authors Guerra, AR; Duarte, MF; Duarte, IF
nationality International
journal JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
author keywords cancer; metabolism; energetic and biosynthetic pathways; tumor cells; phenolics; isoprenoids; alkaloids
keywords FATTY-ACID SYNTHASE; ACTIVATED PROTEIN-KINASE; PYRUVATE-DEHYDROGENASE COMPLEX; PENTOSE-PHOSPHATE PATHWAY; CELL LUNG-CANCER; WARBURG-LIKE METABOLISM; II-MEDIATED GLYCOLYSIS; HEPATOMA HEPG2 CELLS; GLUCOSE-METABOLISM; SIGNALING PATHWAY
abstract Recognition of neoplastic metabolic reprogramming as one of cancer's hallmarks has paved the way for developing novel metabolism-targeted therapeutic approaches. The use of plant-derived natural bioactive compounds for this endeavor is especially promising, due to their diverse structures and multiple targets. Hence, over the past decade, a growing number of studies have assessed the impact of phytochemicals on tumor cell metabolism, aiming at improving current knowledge on their mechanisms of action and, at the same time, evaluating their potential as anti-cancer metabolic modulators. In this Review, we focus on three classes of plant-derived compounds with promising anti-cancer activity-phenolic compounds, isoprenoids, and alkaloids-to describe their effects on major energetic and biosynthetic pathways of human tumor cells. Such a comprehensive and integrated account of the ability of these compounds to hit different metabolic targets is expected to contribute to the rational design and critical assessment of novel anti-cancer therapies based on natural-product mediated metabolic reprogramming.
publisher AMER CHEMICAL SOC
issn 0021-8561
year published 2018
volume 66
issue 41
beginning page 10663
ending page 10685
digital object identifier (doi) 10.1021/acs.jafc.8b04104
web of science category Agriculture, Multidisciplinary; Chemistry, Applied; Food Science & Technology
subject category Agriculture; Chemistry; Food Science & Technology
unique article identifier WOS:000447953900001
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journal analysis (jcr 2017):
journal impact factor 3.412
5 year journal impact factor 3.791
category normalized journal impact factor percentile 87.098
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