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:

Cyclophosphamide associated bladder cancer--a highly aggressive disease: analysis of 12 cases. PURPOSE: We gained knowledge of the etiology, treatment and prevention of cyclophosphamide associated urothelial cancer. MATERIALS AND METHODS: The medical records of 6 men and 6 women (mean age 55 years) with cyclophosphamide associated bladder cancer were reviewed. RESULTS: All tumors were grade 3 or 4 transitional cell carcinoma. Of the 5 patients initially treated with endoscopic resection alone only 1 is alive without disease. Of the 6 patients who underwent early cystectomy 4 were alive at 24 to 111 months. The remaining patient with extensive cancer underwent partial cystectomy for palliation and died 3 months later. CONCLUSIONS: Cyclophosphamide associated bladder tumor is an aggressive disease. However, long-term survival is possible when radical cystectomy is performed for bladder tumors with any sign of invasion and for recurrent high grade disease, even when noninvasive.
{"Chemical": ["cyclophosphamide", "Cyclophosphamide"], "Disease": ["bladder tumor", "tumors", "cancer", "bladder tumors", "bladder cancer", "carcinoma", "urothelial cancer"]}