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:

Tandutinib (MLN518/CT53518) targeted to stem-like cells by inhibiting the function of ATP-binding cassette subfamily G member 2. Tandutinib is a novel inhibitor of tyrosine kinases FLT3, PDGFR and KIT. Our study was to explore the capability of tandutinib to reverse ABC transporter-mediated multidrug resistance. Tandutinib reversed ABCG2-mediated drug resistance in ABCG2-482-R2, ABCG2-482-G2, ABCG2-482-T7 and S1-M1-80 cells and increased the accumulation of doxorubicin, rhodamine 123 and [H(3)] mitoxantrone in ABCG2-overexpressing cells. Importantly, tandutinib selectively sensitized side population cells to mitoxantrone. Taken together, our results advocate the potency of tandutinib as an ABCG2 modulator and stem-like cells targeted agent to increase efficiency of anticancer drugs.
{"Chemical": ["[H(3)] mitoxantrone", "mitoxantrone", "rhodamine 123", "ATP", "CT53518", "tyrosine", "MLN518", "Tandutinib", "doxorubicin", "tandutinib"]}