You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["Chemical"].

Please return the output as a JSON object of the format: {"Chemical": ["Arsenic", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

Auraptene and its Effects on the Re-emergence of Colon Cancer Stem Cells. Recent studies indicate that auraptene (7-geranyloxycoumarin, AUR), a geranyloxycoumarin extracted from fruits of edible plants belonging to the Rutaceae family, may represent a novel lead compound for dietary colon cancer chemoprevention in rodents. As a continuation of studies aimed to better depict the pharmacological effects and mechanism of action of the title natural compound, the current investigation was undertaken to determine whether AUR would be able to prevent the growth and sphere (surrogate tumors) formation of FOLFOX-resistant colon cancer cells that are highly enriched in cancer stem cells (CSCs). Our results demonstrate that AUR at a concentration of 10 μM was able to inhibit the growth and formation of colonospheres of FOLFOX-resistant colon cancer HT-29 cells in vitro. The corresponding parental cells were also similarly affected by AUR at the same concentration level. The reduction in the growth and colonospheres formation in FOLFOX-resistant HT-29 was also associated with a concomitant decrease in phospho-epidermal growth factor receptor. These findings suggest that AUR could prevent the re-emergence of CSCs. Copyright © 2012 John Wiley & Sons, Ltd.
{"Chemical": ["phospho", "7-geranyloxycoumarin", "Auraptene", "auraptene", "geranyloxycoumarin", "AUR"]}