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:

Anti-oncogenic potential of the eIF4E-binding proteins. The eIF4E-binding proteins (4E-BPs) are inhibitors of protein synthesis that sequester the mRNA cap-binding protein eIF4E and consequently block cell growth and proliferation. In most tumors however, their inhibitory function is compromised by major oncogenic signaling pathways. Recently, thanks to the generation of mouse genetic models, considerable progress has been made in elucidating the involvement of 4E-BPs and their unique target, eIF4E, in the process of carcinogenesis. Increasing evidence indicates that an 'addiction' to protein synthesis emerges in cancer cells, highlighting the potential that 4E-BPs have as targets for therapeutics. In this review, we summarize the biochemical function, regulation and anti-oncogenic activity of the 4E-BPs.
{"Chemical": []}