{"id":"W2161654775","doi":"10.1053/j.gastro.2015.05.042","title":"KIT Signaling Promotes Growth of Colon Xenograft Tumors in Mice and Is Up-Regulated in a Subset of Human Colon Cancers","year":2015,"lang":"en","type":"article","venue":"Gastroenterology","topic":"Gastrointestinal Tumor Research and Treatment","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Center for Research Resources; National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health; National Institute of Neurological Disorders and Stroke; Howard Hughes Medical Institute","keywords":"Gene knockdown; CD44; LGR5; Cancer research; Chemistry; Flow cytometry; Colorectal cancer; Cell growth; Small hairpin RNA; Cell culture; Molecular biology; Cell; Biology; Wnt signaling pathway; Signal transduction; Cancer; Medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009094824,0.0003408458,0.0002793728,0.0007090508,0.0002053477,0.0004439331,0.00009661523,0.0001786092,0.002096228],"category_scores_gemma":[0.0001200211,0.0002212047,0.000288711,0.0004370291,0.0002012736,0.0001956838,0.0002295371,0.0005840701,0.0005303677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003014056,"about_ca_system_score_gemma":0.0002324992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000714194,"about_ca_topic_score_gemma":0.001610159,"domain_scores_codex":[0.9998052,0.00002311744,0.0000125635,0.00002747726,0.00006189078,0.00006994183],"domain_scores_gemma":[0.9998671,0.00001163197,0.00004502556,0.00001154036,0.00001376815,0.0000508597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004124115,0.00004090977,0.003139843,0.00005424613,0.00001678758,0.0001849832,0.00001866173,0.00006979411,0.9926057,0.0001005528,0.000272197,0.003083914],"study_design_scores_gemma":[0.00005396927,0.0007797912,0.1668081,0.00002067629,0.00009719778,0.002196997,0.0002749301,0.001152891,0.8188155,0.000147809,0.009636563,0.00001549116],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925547,0.003069242,0.0006073817,0.0002015971,0.00003465359,0.0000130519,0.0009678529,0.0001196285,0.002431919],"genre_scores_gemma":[0.9933075,0.001351109,0.0005083294,0.00005571955,0.0000152227,0.00002121048,0.001208744,0.00001889313,0.003513134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002096228,"threshold_uncertainty_score":0.007012606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03237066343704856,"score_gpt":0.3037592623616133,"score_spread":0.2713885989245647,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}