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:

Clinicopathological relevance of kinesin family member 18A expression in invasive breast cancer Recently, kinesin motor proteins have been focused on as targets for cancer therapy. Kinesins are microtubule -based motor proteins that mediate diverse functions within the cell, including the transport of vesicles, organelles, chromosomes and protein complexes, as well as the movement of microtubules. In the current study, the expression of kinesin family member 18A (KIF18A), a member of kinesin superfamily, was investigated in breast cancer using immunohistochemistry, and its effect on breast cancer prognosis was examined. KIF18A expression level was significantly associated with lymph node metastasis (P=0.047). In patients with high levels of KIF18A expression, survival was significantly poorer compared to patients with low levels of KIF18A expression (disease-free survival, P=0.030). Multivariate analysis revealed that venous invasion (hazard ratio, 9.22; 95% confidence interval, 3.90-23.66; P<0.001) and KIF18A expression (hazard ratio, 3.20; 95% confidence interval, 1.34-6.09; P=0.010) were independent predictive factors for lymph node metastasis. KIF18A may be a useful predictive marker for lymph node metastasis in breast cancer, which could facilitate curative adjuvant treatment.
{"AnatomicalStructure": ["cell", "organelles", "chromosomes", "vesicles"], "Bacterium": [], "BiologicFunction": ["lymph node metastasis", "movement of microtubules", "breast cancer", "expression", "transport", "invasive breast cancer"], "BiomedicalOccupationOrDiscipline": ["Clinicopathological"], "BodySubstance": [], "BodySystem": [], "Chemical": ["microtubule", "KIF18A", "protein complexes", "kinesin", "member of kinesin superfamily", "motor proteins", "Kinesins", "kinesin family member 18A"], "ClinicalAttribute": ["marker"], "Eukaryote": [], "Finding": ["venous invasion"], "Food": [], "HealthCareActivity": ["immunohistochemistry", "cancer therapy", "treatment"], "InjuryOrPoisoning": [], "IntellectualProduct": ["predictive factors", "predictive"], "MedicalDevice": [], "Organization": [], "PopulationGroup": [], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": [], "SpatialConcept": [], "Virus": []}