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:

Visualization and targeting of LGR5(+) human colon cancer stem cells The cancer stem cell (CSC) theory highlights a self-renewing subpopulation of cancer cells that fuels tumour growth. The existence of human CSCs is mainly supported by xenotransplantation of prospectively isolated cells, but their clonal dynamics and plasticity remain unclear. Here, we show that human LGR5(+) colorectal cancer cells serve as CSCs in growing cancer tissues. Lineage - tracing experiments with a tamoxifen -inducible Cre knock-in allele of LGR5 reveal the self-renewal and differentiation capacity of LGR5(+) tumour cells. Selective ablation of LGR5(+) CSCs in LGR5 -i Caspase9 knock-in organoids leads to tumour regression, followed by tumour regrowth driven by re-emerging LGR5(+) CSCs. KRT20 knock-in reporter marks differentiated cancer cells that constantly diminish in tumour tissues, while reverting to LGR5(+) CSCs and contributing to tumour regrowth after LGR5(+) CSC ablation. We also show that combined chemotherapy potentiates targeting of LGR5(+) CSCs. These data provide insights into the plasticity of CSCs and their potential as a therapeutic target in human colorectal cancer.
{"AnatomicalStructure": ["cancer stem cell", "CSC", "CSCs", "tissues", "tumour tissues", "colorectal cancer cells", "KRT20", "allele", "clonal", "organoids", "LGR5", "LGR5(+)", "reporter", "tumour cells", "Caspase9", "cancer cells", "colon", "cancer stem cells"], "Bacterium": [], "BiologicFunction": ["cancer", "differentiated", "differentiation", "colorectal cancer", "self-renewal", "self-renewing"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": ["tamoxifen", "LGR5", "Cre"], "ClinicalAttribute": [], "Eukaryote": ["human"], "Finding": ["Visualization", "isolated cells"], "Food": [], "HealthCareActivity": ["chemotherapy", "xenotransplantation", "tracing experiments", "ablation"], "InjuryOrPoisoning": [], "IntellectualProduct": ["subpopulation"], "MedicalDevice": [], "Organization": [], "PopulationGroup": [], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["knock-in"], "SpatialConcept": [], "Virus": []}