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:

Renieramycin M Attenuates Cancer Stem Cell -like Phenotypes in H460 Lung Cancer Cells Cancer stem cells (CSCs) are a subpopulation of cancer cells that possess self-renewal and differentiation capacities. CSCs contribute to drug-resistance, cancer recurrence and metastasis, thus development of CSC -targeted therapeutic strategies has recently received significant attention in cancer research. In this study, the potential efficacy of renieramycin M (RM) isolated from the sponge Xestospongia species, was examined against lung CSCs. Colony and spheroid formation assays, as well as western blotting analysis of lung CSC protein markers were employed to determine the CSC -like phenotypes of H460 lung cancer cells after treatment with RM at non-toxic concentrations. RM treatment reduced significantly colony and spheroid formation of H460 cells. Moreover, the CSC markers CD133, CD44 and ALDH1A1 of CSC -enriched H460 cells were reduced significantly following RM treatment. RM could be a potent anti-metastatic agent by suppressing lung CSC -like phenotypes in H460 cells.
{"AnatomicalStructure": ["H460 cells", "CSCs", "CSC", "H460", "Lung", "lung", "Cancer Cells", "Cancer stem cells", "Cancer Stem Cell", "cancer cells"], "Bacterium": [], "BiologicFunction": ["self-renewal", "drug-resistance", "differentiation", "metastasis"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": ["anti-metastatic agent", "markers", "renieramycin M", "protein", "Renieramycin M", "RM", "ALDH1A1", "CD133", "CD44"], "ClinicalAttribute": [], "Eukaryote": ["Xestospongia species", "sponge"], "Finding": ["examined"], "Food": [], "HealthCareActivity": ["therapeutic strategies", "western blotting analysis", "Colony and spheroid formation assays", "colony and spheroid formation", "treatment"], "InjuryOrPoisoning": [], "IntellectualProduct": [], "MedicalDevice": [], "Organization": [], "PopulationGroup": [], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["cancer research", "study"], "SpatialConcept": [], "Virus": []}