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:

Organosilicon compounds as adult T-cell leukemia cell proliferation inhibitors. Aggressive forms of adult T-cell leukemia (ATL) respond poorly to conventional anticancer chemotherapy, and new lead compounds are required for the development of drugs to treat this fatal disease. Recently, we developed ATL cell-selective proliferation inhibitors based on a tetrahydrotetramethylnaphthalene (TMN) skeleton 1, and here we report the design and synthesis of silicon analogs of TMN derivatives. Among them, compound 13 showed the most potent growth-inhibitory activity towards the ATL cell line S1T, though its selectivity for S1T over the non-ATL cell line MOLT-4 was only moderate. This result, as well as computational studies, suggests that sila-substitution (C/Si exchange) is useful for structure optimization of these inhibitors.
{"Chemical": ["silicon", "Si", "TMN", "Organosilicon", "tetrahydrotetramethylnaphthalene", "C"]}