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: ["AnatomicalEntity"].

Please return the output as a JSON object of the format: {"AnatomicalEntity": ["tumor cells", ...]}. 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:

Sanguinarine induces apoptosis of human osteosarcoma cells through the extrinsic and intrinsic pathways. 
The quaternary benzo[c]phenanthridine alkaloid sanguinarine inhibits the proliferation of cancerous cells from different origins, including lung, breast, pancreatic and colon, but nothing is known of its effects on osteosarcoma, a primary malignant bone tumour. We have found that sanguinarine alters the morphology and reduces the viability of MG-63 and SaOS-2 human osteosarcoma cell lines in concentration- and time-dependent manner. Incubation with 1 micromol/L sanguinarine for 4 and 24h killed more efficiently MG-63 cells than SaOS-2 cells, while incubation with 5 micromol/L sanguinarine killed almost 100% of both cell populations within 24h. This treatment also changed the mitochondrial membrane potential in both MG-63 and SaOS-2 cells within 1h, caused chromatin condensation and the formation of apoptotic bodies. It activated multicaspases, and increased the activities of caspase-8 and caspase-9 in both MG-63 and SaOS-2 cells. These data highlight sanguinarine as a novel potential agent for bone cancer therapy.
{"AnatomicalEntity": ["osteosarcoma", "breast", "chromatin", "cancerous cells", "SaOS-2 cells", "lung", "osteosarcoma cells", "MG-63", "mitochondrial membrane", "MG-63 cells", "apoptotic bodies", "primary malignant bone tumour", "pancreatic", "SaOS-2 human osteosarcoma cell lines", "colon", "cell populations", "bone cancer"]}