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:

Increased RhoA Activity Predicts Worse Overall Survival in Patients Undergoing Surgical Resection for Lauren Diffuse-Type Gastric Adenocarcinoma Several studies have reported a high rate of RHOA mutations in the Lauren diffuse-type gastric adenocarcinoma (GA) but not in intestinal-type GA. The aim of this study was to determine if RhoA activity is prognostic for overall survival (OS) in patients with resectable GA. Retrospective review was performed on a prospective database of GA patients who underwent potentially curative resection between 2003 and 2012 at a single institution. Tissue microarrays were constructed from surgical specimens and analyzed for phosphorylated RhoA, a marker of inactive RhoA signaling. OS was estimated by the Kaplan-Meier method, and multivariate analysis was performed by Cox proportional hazards regression modeling. One hundred thirty-six patients with diffuse-type GA and 129 patients with intestinal-type GA were examined. Compared to intestinal-type GA, diffuse-type GA tumors were significantly associated with increased tumor size and advanced tumor, node, metastasis (TNM) classification system stage. In patients with diffuse-type GA, high RhoA activity was associated with significantly worse OS when compared to low RhoA activity (5-year OS 52.5 vs. 81.0 %, p = 0.017). This difference in OS was not observed in patients with intestinal-type GA (5-year OS 83.9 vs. 81.6 %, p = 0.766). On multivariate analysis of diffuse-type GA patients, high RhoA activity was an independent negative prognostic factor for OS (hazard ratio 2.38, 95 % confidence interval 1.07-5.28). Increased RhoA activity is predictive of worse OS in patients with diffuse-type GA who undergo potentially curative surgical resection. Along with findings from genomic studies, these results suggest RhoA may be a novel therapeutic target in diffuse-type GA.
{"AnatomicalStructure": ["Tissue", "RHOA"], "Bacterium": [], "BiologicFunction": ["Diffuse-Type Gastric Adenocarcinoma", "tumors", "diffuse-type GA", "signaling", "diffuse-type gastric adenocarcinoma", "GA", "intestinal-type GA", "mutations"], "BiomedicalOccupationOrDiscipline": ["genomic studies"], "BodySubstance": [], "BodySystem": [], "Chemical": ["RhoA", "phosphorylated"], "ClinicalAttribute": ["marker", "prognostic", "prognostic factor"], "Eukaryote": [], "Finding": ["Worse", "worse"], "Food": [], "HealthCareActivity": ["Surgical Resection", "therapeutic", "curative surgical resection", "curative resection"], "InjuryOrPoisoning": [], "IntellectualProduct": ["Cox proportional hazards regression modeling", "advanced tumor, node, metastasis (TNM) classification system stage", "Lauren"], "MedicalDevice": [], "Organization": ["single institution"], "PopulationGroup": [], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["Retrospective review", "Kaplan-Meier method"], "SpatialConcept": ["tumor size"], "Virus": []}