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 biological characterization of spiro[2H-(1,3)-benzoxazine-2,4'-piperidine] based histone deacetylase inhibitors. Histone Deacetylases (HDACs) have become important targets for the treatment of cancer and other diseases. In previous studies we described the development of novel spirocyclic HDAC inhibitors based on the combination of privileged structures with hydroxamic acid moieties as zinc binding group. Herein, we report further explorations, which resulted in the discovery of a new class of spiro[2H-(1,3)-benzoxazine-2,4'-piperidine] derivatives. Several compounds showed good potency of around 100 nM and less in the HDAC inhibition assays, submicromolar IC50 values when tested against tumour cell lines and a remarkable stability in human and mouse microsomes. Two representative examples exhibited a good pharmacokinetic profile with an oral bioavailability equal or higher than 35% and one of them studied in an HCT116 murine xenograft model showing a robust tumour growth inhibition. In addition, the two benzoxazines were found to have a minor affinity for the hERG potassium channel compared to their corresponding ketone analogues.
{"Chemical": ["zinc", "spiro[2H-(1,3)-benzoxazine-2,4\u0027-piperidine]", "ketone", "potassium", "benzoxazines", "hydroxamic acid"]}