coronopilin and Neoplasms

Terpenoids in plants are important sources for drug discovery. In this study, we extracted damsin and coronopilin, two sesquiterpene lactones, from Ambrosia arborescens and examined their anticancer effects on cell cultures. Damsin and coronopilin inhibited cell proliferation, DNA biosynthesis and formation of cytoplasmic DNA histone complexes in Caco-2 cells, with damsin being more potent than coronopilin. Further studies using the luciferase reporter system showed that damsin and coronopilin also inhibited expressions of nuclear factor-κB (NF-κB) and signal transducer and activator of transcription-3 (STAT3), indicating that these sesquiterpenes can interfere with NF-κB and STAT3 pathways. Finally, we examined the effects of two synthetic dibrominated derivatives of damsin, 11α,13-dibromodamsin and 11β,13-dibromodamsin. While bromination appeared to weaken the antiproliferative effects of damsin, the β epimer had strong inhibitory effects on STAT3 activation. In conclusion, the sesquiterpene lactones damsin and coronopilin have inhibitory effects on cell proliferation, DNA biosynthesis and NF-κB and STAT3 pathways, thus being potentially important for discovery of drugs against cancer.

Topics: Ambrosia; Antineoplastic Agents, Phytogenic; Azulenes; Cell Line, Tumor; Cell Proliferation; DNA Replication; Enzyme-Linked Immunosorbent Assay; Humans; Lactones; Neoplasms; NF-kappa B; Sesquiterpenes; STAT3 Transcription Factor

Some sesquiterpene lactones (SLs) are the active compounds of a great number of traditionally medicinal plants from the Asteraceae family and possess considerable cytotoxic activity. Several studies in vitro have shown the inhibitory activity against cells derived from human carcinoma of the nasopharynx (KB). In this study, we investigated a set of 37 different sesquiterpene lactones, represented by 4 skeletons (14 germacranolides, 6 elemanolides, 9 guaianolides and nor-derivatives, and 8 pseudoguaianolides), in what it says respect of their cytotoxic properties. The experimental results were submitted to a QSAR study. A single model for the entire data set was described using 3D molecular descriptors and genetic algorithms establishing structure-activity relationships among the compounds. Important properties for the inhibition potency are discussed for the whole data set and for subsets of the different structural skeletons.

Topics: Algorithms; Antineoplastic Agents, Phytogenic; Artificial Intelligence; Asteraceae; Cell Line, Tumor; Chemical Phenomena; Chemistry, Physical; Humans; Models, Statistical; Neoplasms; Quantitative Structure-Activity Relationship; Regression Analysis; Sesquiterpenes; Structure-Activity Relationship