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:

Osteonectin transcript and metastatic behavior in v-Ki-ras transformed fibroblasts. 
Osteonectin is one of the major non-collagenous proteins of bone. However, its transcript has been found in many soft, extracellular matrix-producing tissues; an osteonectin-related protein was detected in tumor basement membrane. We have investigated the expression of osteonectin gene in fresh BALB/c fibroblasts transformed by v-Ki-ras. Transformed cells exhibited lower levels of RNA as compared with normal fibroblasts. The transformed cells were cloned after in vivo tumorigenic assay, and 4 clones were analyzed for osteonectin expression by Northern blots. Two of them were selected for high or low osteonectin expression and tested in vivo in spontaneous and artificial metastasis assays. High osteonectin expression was correlated with high lung colonization. When 10(5) cells were injected i.v., median colony value was 55 and 20 in higher expressor vs. lower expressor respectively (p less than 0.005). Spontaneous metastasis indicates a possible reverse correlation. Our data align osteonectin with other matrix-components and adhesion molecules in affecting potential metastatic spreading of transformed cells.
{"AnatomicalEntity": ["i.v.", "soft, extracellular matrix-producing tissues", "tumor basement membrane", "colony", "matrix", "lung", "fibroblasts", "cells", "clones", "bone", "BALB/c fibroblasts"]}