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: ["Disease", "Chemical"].

Please return the output as a JSON object of the format: {"Chemical" : ["Naloxone", ...], "Disease" : ["Hypotensive", ...]}. 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:

Granulosa cell tumor of the ovary associated with antecedent tamoxifen use. BACKGROUND: Increased attention has been focused recently on the estrogenic effects of tamoxifen. Review of the literature reveals an association between tamoxifen use and gynecologic tumors. CASE: A 52-year-old postmenopausal woman was treated with tamoxifen for stage II estrogen receptor-positive breast carcinoma. Her aspartate transaminase and alanine transaminase levels increase markedly after 6 months of tamoxifen use. After an additional 17 months of elevated serum transaminases, the patient was found to have a stage Ic granulosa cell tumor of the ovary. CONCLUSION: Patients with tamoxifen-induced liver dysfunction may be at increased risk for granulosa cell tumors because of alterations in tamoxifen metabolism.
{"Chemical": ["estrogen", "tamoxifen", "aspartate", "alanine"], "Disease": ["tumors", "breast carcinoma", "liver dysfunction", "granulosa cell tumors", "granulosa cell tumor of the ovary", "Granulosa cell tumor of the ovary"]}