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:

Targeting HIF2 in Clear Cell Renal Cell Carcinoma Inactivation of the von Hippel-Lindau tumor-suppressor protein (pVHL) is the signature "truncal" event in clear cell renal cell carcinoma, which is the most common form of kidney cancer. pVHL is part of a ubiquitin ligase the targets the α subunit of the hypoxia-inducible factor (HIF) transcription factor for destruction when oxygen is available. Preclinical studies strongly suggest that deregulation of HIF, and particularly HIF2, drives pVHL -defective renal carcinogenesis. Although HIF2α was classically considered undruggable, structural and chemical work by Rick Bruick and Kevin Gardner at University of Texas Southwestern laid the foundation for the development of small molecule direct HIF2α antagonists (PT2385 and the related tool compound PT2399) by Peloton Therapeutics that block the dimerization of HIF2α with its partner protein ARNT1. These compounds inhibit clear cell renal cell carcinoma growth in preclinical models, and PT2385 has now entered the clinic. Nonetheless, the availability of such compounds, together with clustered regularly interspaced short palindromic repeat (CRISPR)-based gene editing approaches, has revealed a previously unappreciated heterogeneity among clear cell renal carcinomas and patient -derived xenografts with respect to HIF2 dependence, suggesting that predictive biomarkers will be needed to optimize the use of such agents in the clinic.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["clear cell renal carcinomas", "clear cell renal cell carcinoma", "renal carcinogenesis", "dimerization", "deregulation", "inhibit clear cell renal cell carcinoma growth", "kidney cancer", "Clear Cell Renal Cell Carcinoma"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": ["PT2385", "HIF", "such agents", "clustered regularly interspaced short palindromic repeat", "HIF2", "HIF2\u03b1", "von Hippel-Lindau tumor-suppressor protein", "\u03b1 subunit", "protein ARNT1", "HIF2\u03b1 antagonists", "small molecule", "PT2399", "such compounds", "predictive biomarkers", "hypoxia-inducible factor (HIF) transcription factor", "ubiquitin ligase", "pVHL", "CRISPR"], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["signature \"truncal\" event"], "Food": [], "HealthCareActivity": ["xenografts"], "InjuryOrPoisoning": [], "IntellectualProduct": ["preclinical models"], "MedicalDevice": [], "Organization": ["Peloton Therapeutics", "University of Texas Southwestern", "clinic"], "PopulationGroup": [], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["studies", "gene editing approaches"], "SpatialConcept": [], "Virus": []}