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:

Determination of volatile organic compounds exhaled by cell lines derived from hematological malignancies Background: The gas human exhaled contains many volatile organic compounds (VOCs), which is related to the health status of body. Analysis of VOCs has been proposed as a noninvasive diagnostic tool for certain cancers. Detailed research on the VOCs in gas exhaled by cell can characterize cell type specific metabolites and may be helpful to detect the cancer markers in clinical practice. Methods: Solid phase microextraction - gas chromatography - mass spectrometry was used to detect VOCs in the headspace of tissue culture flask in non-Hodgkin's lymphoma cell line JEKO and acute mononuclear leukemia cell line SHI-1, to elaborate the characteristic gaseous biomarkers of hematological malignancies. While macrophage cells and lymphocytic cells were acted as control. The blank group was only the RPMI 1640 medium containing 10% fetal calf serum that without cells. Results: Comparing to control group, the concentration of dimethyl sulphide, 2,4-dimethyl-heptane, methylbenzene, o-xylene, dodecane and 1,3-ditert-butylbenzene in JEKO cells were relatively higher, while the concentration of ethanol, hexanal and benzaldehyde was lower. In SHI-1 cells, the levels of 2,4-dimethyl-heptane, benzene, 4-methyldecane, chloroform, 3,7-dimethyl dodecane and hexadecane were significantly elevated, but the levels of hexanol and cyclohexanol were distinctly reduced. Conclusions: This pilot study revealed that the malignant hematological cells could change the components of VOCs in the cell culture flask in a cell type specific pattern. The traits of VOCs in our setting offered new strategy for hematological malignancies tracing, and would act as potential biomarkers in diagnosis of malignant hematological diseases.
{"AnatomicalStructure": ["JEKO cells", "lymphocytic cells", "cell", "cells", "cell lines", "macrophage cells", "SHI-1 cells", "cell line SHI-1", "cell line JEKO"], "Bacterium": [], "BiologicFunction": ["hematological malignancies", "exhaled", "malignant hematological", "hematological diseases", "cancers", "acute mononuclear leukemia", "non-Hodgkin\u0027s lymphoma"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": ["hexanol", "4-methyldecane", "dodecane", "o-xylene", "volatile organic compounds", "2,4-dimethyl-heptane", "3,7-dimethyl dodecane", "VOCs", "dimethyl sulphide", "1,3-ditert-butylbenzene", "cancer markers", "cyclohexanol", "ethanol", "benzaldehyde", "gaseous", "chloroform", "benzene", "fetal calf serum", "biomarkers", "hexadecane", "RPMI 1640 medium", "hexanal", "methylbenzene", "metabolites", "gas"], "ClinicalAttribute": [], "Eukaryote": ["body", "human"], "Finding": ["diagnosis"], "Food": [], "HealthCareActivity": ["mass spectrometry", "diagnostic tool", "gas chromatography", "cell culture flask", "Solid phase microextraction"], "InjuryOrPoisoning": [], "IntellectualProduct": ["cell type", "noninvasive"], "MedicalDevice": [], "Organization": [], "PopulationGroup": [], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["Analysis", "pilot study"], "SpatialConcept": [], "Virus": []}