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:

Methylation Analysis of BRCA1 and APC in Breast Cancer and It's Relationship to Clinicopathological Features Promoter methylation of tumor suppressor genes is an important epigenetic alteration that occurs in the primary stages of human tumors, including breast cancer. Identification of methylated genes and their relationship to clinical features can contribute to the prognosis and early detection of tumors. In this study, we explored the methylation status of APC and BRCA1 genes and their relationship to clinical factors in breast cancer patients. BRCA1 and APC promoter methylation was examined by methylation - specific multiplex ligation-dependent probe amplification (MS-MLPA) assay in formalin-fixed paraffin embedded (FFPE) breast tissue from 75 patients. APC promoter methylation was detected in 30.67% breast cancer tissues and BRCA1 was methylated in 9.33% of breast tumors. Methylation of APC was associated with low histological grade (p = 0.006) and methylation of BRCA1 was related with lymph node metastasis (p = 0.017). These findings suggest that the methylation status of APC and BRCA1 can be a predictive marker for early detection and better management of breast cancer patients.
{"AnatomicalStructure": ["APC", "lymph node", "tissues", "BRCA1", "formalin-fixed paraffin embedded (FFPE) breast tissue", "methylated genes", "BRCA1 genes", "tumor suppressor genes"], "Bacterium": [], "BiologicFunction": ["promoter methylation", "Breast Cancer", "tumors", "methylation", "Methylation", "breast cancer", "epigenetic alteration", "breast tumors", "methylated", "metastasis", "Promoter methylation"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": [], "ClinicalAttribute": ["predictive marker"], "Eukaryote": ["human"], "Finding": ["findings", "detected"], "Food": [], "HealthCareActivity": ["management", "assay", "early detection", "prognosis"], "InjuryOrPoisoning": [], "IntellectualProduct": ["histological grade"], "MedicalDevice": [], "Organization": [], "PopulationGroup": [], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["study", "MS-MLPA", "specific multiplex ligation-dependent probe amplification", "Methylation Analysis"], "SpatialConcept": [], "Virus": []}