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: ["HealthCareActivity", "InjuryOrPoisoning", "BodySubstance", "IntellectualProduct", "AnatomicalStructure", "SpatialConcept", "Chemical", "Bacterium", "MedicalDevice", "Organization", "BiomedicalOccupationOrDiscipline", "Finding", "BiologicFunction", "Virus", "ResearchActivity", "ClinicalAttribute", "PopulationGroup", "Eukaryote", "BodySystem", "Food", "ProfessionalOrOccupationalGroup"].

Please return the output as a JSON object of the format: {"Virus": ["HIV", ...], "Bacterium": ["MRSA", ...], "AnatomicalStructure": ["Lung", ...], "BodySystem": ["CNS", ...], "BodySubstance": ["Serum", ...], "Finding": ["Headache", ...], "InjuryOrPoisoning": ["Fracture", ...], "BiologicFunction": ["Death", ...], "HealthCareActivity": ["Biopsy", ...], "ResearchActivity": ["Clinical trial", ...], "MedicalDevice": ["Lenses", ...], "SpatialConcept": ["Camps", ...], "BiomedicalOccupationOrDiscipline": ["Forensic medicine", ...], "Organization": ["WHO", ...], "ProfessionalOrOccupationalGroup": ["Provider", ...], "PopulationGroup": ["Swimmers", ...], "Chemical": ["Gold", ...], "Food": ["Rice", ...], "IntellectualProduct": ["RPAM", ...], "ClinicalAttribute": ["Biomarker", ...], "Eukaryote": ["Dogs", ...]}. 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:

Effect of an immunomodulatory regimen for cancer prevention: A case report In the present case study, an immunomodulatory regimen for cancer prevention is reported. A patient with an abnormally high level of the tumor markers, carbohydrate antigen-724 (CA724), CA19-9 and carcinoembryonic antigen (CEA), although without any detectable tumor, was treated with an immunomodulatory therapy featuring an infusion of cytokine-induced autologous killer cells (CIKs) at the request of the patient. Following the therapy, the three tumor markers rapidly decreased to below the normal reference level, although there still were slight fluctuations within a narrow range frequently. The patient was monitored for 21 months to the present day and no abnormality was observed. The results indicated that this therapy may be applied as a novel strategy that is effective and reliable for cancer prevention. As there is no promising regimen for the prevention of malignancies to date, such a treatment may become a major cancer prophylactic regimen, particularly for patients who are at a high risk of cancer.
{"AnatomicalStructure": ["cytokine-induced autologous killer cells", "CIKs"], "Bacterium": [], "BiologicFunction": ["tumor", "cancer"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": ["carbohydrate antigen-724", "carcinoembryonic antigen", "CA724", "tumor markers", "CA19-9", "CEA"], "ClinicalAttribute": ["detectable"], "Eukaryote": [], "Finding": ["present", "high risk of", "no abnormality"], "Food": [], "HealthCareActivity": ["reported", "cancer prevention", "prophylactic regimen", "monitored", "regimen", "immunomodulatory therapy", "infusion", "prevention of malignancies", "immunomodulatory regimen", "treatment", "therapy", "treated with"], "InjuryOrPoisoning": [], "IntellectualProduct": ["case report", "case study"], "MedicalDevice": [], "Organization": [], "PopulationGroup": [], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": [], "SpatialConcept": [], "Virus": []}