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eupatorium resinosum/cancer du sein

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Precise discovery of a STAT3 inhibitor from Eupatorium lindleyanum and evaluation of its activity of anti-triple-negative breast cancer.

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Michael reaction acceptors (MRAs) are a class of active compounds. There is a great prospect to screen STAT3 inhibitors from Eupatorium lindleyanum, furthermore, to discover lead compounds for anti-triple-negative breast cancer (TNBC). In this study, glutathione (GSH) was employed, and a UPLC-MS
Sesquiterpene lactones have been confirmed to have potential antitumor activity. Here, we demonstrated that Eupalinolide O (EO), a novel sesquiterpene lactone isolated from Eupatorium lindleyanum DC., showed significant anticancer activity against human MDA-MB-468 breast cancer cells. The

F1012-2 inhibits the growth of triple negative breast cancer through induction of cell cycle arrest, apoptosis, and autophagy.

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Sesquiterpene lactones (SLs) are plant-derived constituents that have been proved to have potential antitumour activity. However, the intracellular molecular targets of SLs and the underlying molecular mechanisms have not been well elucidated. Here, we report that F1012-2, a novel SL active
Innovative strategy is urgently needed to precisely discover novel natural products as lead compounds for development of new drugs against orphan diseases such as triple-negative breast cancer (TNBC). Herein, we describe a targeting pharmacophore with probe-reactivity-guided strategy

Germacrane-Type Sesquiterpenoids with Antiproliferative Activities from Eupatorium chinense.

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Ten new germacrane-type sesquiterpenoids (1-10) were isolated from a whole plant extract of Eupatorium chinense. The structures were elucidated by analysis of their NMR and MS data as well as by comparison with literature values. The absolute configuration of eupachinsin A (1) was determined by

Targeted Isolation of Cytotoxic Sesquiterpene Lactones from Eupatorium fortunei by the NMR Annotation Tool, SMART 2.0

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Small Molecular Accurate Recognition Technology (SMART 2.0) has recently been introduced as a NMR-based machine learning tool for the discovery and characterization of natural products. We attempted targeted isolation of sesquiterpene lactones from Eupatorium fortunei with the aid of
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