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:

[Intraepithelial neoplasm of the uterine cervix and angiogenesis: morphologic study]
Thirty uterine cervix specimens sampled following conization or total hysterectomy were studied using histology, histoenzymology (vessel phosphatase alkaline activity), and immunohistochemistry (demonstration of laminin and type IV collagen in epithelium and vessel basement membranes). Pathologic conditions included dystrophia, moderate dysplasia, severe dysplasia, and intraepithelial carcinoma. Results were compared to findings in a control group. We found that the severity of vascular abnormalities correlated positively with the severity of histologic epithelial lesions; this finding is consistent with colposcopic results. Anarchic angiogenesis with large, moniliform, tortuous vessels was seen in severe dysplasias and carcinomas. The vascular anomalies seem to precede the development of histologic lesions in some instances. Histogenesis of the abnormal vessels may involve production of an angiogenic factor by the cancerized epithelia.
{"AnatomicalEntity": ["epithelium", "histologic lesions", "uterine cervix specimens", "intraepithelial carcinoma", "Intraepithelial neoplasm", "tortuous vessels", "carcinomas", "vascular", "uterine cervix", "vessel", "vessel basement membranes", "dysplasia", "epithelial lesions", "abnormal vessels", "cancerized epithelia"]}