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:

Synthesis and evaluation of nicotinamide derivative as anti-angiogenic agents. Previously, we have found that BRN-103, a nicotinamide derivative, inhibits vascular endothelial growth factor (VEGF)-mediated angiogenesis signaling in human endothelial cells. During our continuous efforts to identify more potent anti-angiogenic agents, we synthesized various nicotinamide derivatives and evaluated their anti-angiogenic effects. We found that 2-{1-[1-(6-chloro-5-fluoropyrimidin-4-yl)ethyl]piperidin-4-ylamino}-N-(3-chlorophenyl) pyridine-3-carboxamide (BRN-250) significantly inhibited human umbilical vascular endothelial cells (HUVECs) proliferation, migration, tube formation, and microvessel growth in a concentration range of 10-100 nM. Furthermore, BRN-250 inhibited the VEGF-induced phosphorylation and intracellular tyrosine kinase activity of VEGF receptor 2 (VEGFR2) and the activation of its downstream AKT pathway. Taken together, these findings suggest that BRN-250 be considered a potential lead compound for cancer therapy.
{"Chemical": ["nicotinamide", "2-{1-[1-(6-chloro-5-fluoropyrimidin-4-yl)ethyl]piperidin-4-ylamino}-N-(3-chlorophenyl) pyridine-3-carboxamide", "BRN-250", "BRN-103", "tyrosine"]}