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:

De Ritis Ratio (AST/ALT) as a Significant Prognostic Factor in Patients With Upper Tract Urothelial Cancer Treated With Surgery We investigated the clinical prognostic value of preoperative De Ritis ratio (aspartate aminotransferase [AST]/alanine aminotransferase [ALT]) on postsurgical survival outcomes in patients with upper tract urothelial cancer (UTUC). We retrospectively analyzed the data of 623 patients who underwent radical nephrouretectomy for UTUC. Multivariate regression tests were performed to identify possible associations between adverse pathologic events and AST/ALT. The risk of postoperative progression and survival were tested using Kaplan-Meier analyses and Cox proportional hazards models. According to the receiver operator characteristic curve of AST/ALT for cancer-specific mortality, patients with AST/ALT value ≥1.5 were regarded as the high AST/ALT group, and the remaining patients formed the low AST/ALT group. In Kaplan-Meier analyses, the high AST/ALT group showed worse progression-free survival (PFS), cancer-specific survival (CSS), and overall survival (all P < .001). Elevated AST/ALT was associated with higher T stage (hazard ratio [HR], 1.577; 95% confidence interval [CI], 1.077-2.311; P = .033) and higher cellular grade (HR, 1.538; 95% CI, 1.034-2.287; P = .041) in multivariate regression tests. In multivariate Cox analyses, high AST/ALT was revealed as an independent predictor of PFS (HR, 2.335; 95% CI, 1.633-3.340; P < .001), CSS (HR, 2.550; 1.689-3.851; P < .001), and overall survival (HR, 2.069; 95% CI, 1.409-3.038; P < .001). Elevated preoperative AST/ALT was a significant predictor of worse postoperative survival in patients surgically treated for UTUC. Further large prospective studies are needed for better understanding of the prognostic value of preoperative AST/ALT.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["Upper Tract Urothelial Cancer", "upper tract urothelial cancer", "UTUC", "adverse pathologic events"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": [], "ClinicalAttribute": ["Significant Prognostic Factor"], "Eukaryote": [], "Finding": ["worse", "postsurgical"], "Food": [], "HealthCareActivity": ["radical nephrouretectomy", "surgically treated"], "InjuryOrPoisoning": [], "IntellectualProduct": ["T stage", "clinical prognostic value", "higher cellular grade", "Cox proportional hazards models", "tests", "prognostic value"], "MedicalDevice": [], "Organization": [], "PopulationGroup": [], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["prospective studies", "retrospectively analyzed"], "SpatialConcept": [], "Virus": []}