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:

Transforming Growth Factor Beta 1 (TGF-β1) in Thyroid Cancer Patients: a View from the Peripheral Blood Transforming growth factor beta (TGF-β) plays an important role in many pathophysiological conditions, including cancer. The level of TGF-β in patients with differentiated thyroid cancer (DTC) has not been examined so far. The aim of this study was to measure TGF-β concentration in serum samples and in PHA - stimulated whole blood culture in vitro and to analyze possible associations of TGF-β1 levels with leukocyte, lymphocyte and platelets counts, the histological type of thyroid cancer, and stage of disease. TGF-β1 was measured in 22 DTC patients and 20 healthy controls using the duoSet ELISA Development kit for human TGF-β1. The concentration of TGF-β1 in serum samples from both groups correlated positively with the platelet counts. There was no statistically significant difference in the serum concentrations of TGF-β1 between DTC patients and control subjects, but PHA stimulated whole blood cultures of DTC patients produced less TGF-β1 than those from controls. Additional studies are needed to determine the significance of these in vitro findings.
{"AnatomicalStructure": ["lymphocyte", "platelet", "platelets", "leukocyte"], "Bacterium": [], "BiologicFunction": ["cancer", "Thyroid Cancer", "DTC", "thyroid cancer", "differentiated thyroid cancer", "stimulated"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": ["serum samples", "whole blood", "Peripheral Blood"], "BodySystem": [], "Chemical": ["PHA", "TGF-\u03b21", "human TGF-\u03b21", "Transforming Growth Factor Beta 1", "Transforming growth factor beta", "TGF-\u03b2"], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["findings", "examined"], "Food": [], "HealthCareActivity": ["counts", "culture", "cultures"], "InjuryOrPoisoning": [], "IntellectualProduct": [], "MedicalDevice": ["duoSet ELISA Development kit"], "Organization": [], "PopulationGroup": ["groups"], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["studies", "study", "analyze"], "SpatialConcept": [], "Virus": []}