{"id":"W2147471000","doi":"10.1158/1535-7163.mct-05-0082","title":"Inhibition of invasion, angiogenesis, tumor growth, and metastasis by adenovirus-mediated transfer of antisense uPAR and MMP-9 in non–small cell lung cancer cells","year":2005,"lang":"en","type":"article","venue":"Molecular Cancer Therapeutics","topic":"Protease and Inhibitor Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"Immunovaccine (Canada)","funders":"National Institute of Neurological Disorders and Stroke; National Cancer Institute","keywords":"Urokinase receptor; Cancer research; Metastasis; Angiogenesis; Matrix metalloproteinase; Zymography; Lung cancer; Biology; Cancer cell; Cancer; Molecular biology; Pathology; Chemistry; Plasminogen activator; Medicine; Internal medicine; Endocrinology; Biochemistry","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":[0.0003335302,0.0005519633,0.000354234,0.0002355121,0.0001631864,0.0003027733,0.0003191278,0.000290131,0.0008770771],"category_scores_gemma":[0.0001153034,0.00022343,0.0005155588,0.000197151,0.0003108493,0.0002666314,0.0001793959,0.001029429,0.0002420754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003688682,"about_ca_system_score_gemma":0.0004126248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001197076,"about_ca_topic_score_gemma":0.001913072,"domain_scores_codex":[0.9997317,0.00004416972,0.00004006822,0.00004445701,0.00007991395,0.00005963581],"domain_scores_gemma":[0.999907,0.00002586157,0.00002064399,0.00001802588,0.00001008312,0.00001833225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007395649,0.0000920069,0.00006512766,0.00004374704,0.000007101749,0.00002444566,0.00001434338,0.00005922091,0.9984637,0.000152375,0.00003875281,0.0009652177],"study_design_scores_gemma":[0.00004980572,0.0008584538,0.001274975,0.000005597418,0.00002860579,0.0001382686,0.00001985756,0.001648743,0.9937516,0.00003665128,0.002182513,0.000005111743],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872327,0.002805426,0.007179284,0.0001593474,0.0001531398,0.0001520353,0.0005201484,0.0001231203,0.001674764],"genre_scores_gemma":[0.9847244,0.002486605,0.008685455,0.0000528648,0.00002603428,0.0001701308,0.0008961101,0.00002071659,0.002937589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001197076,"threshold_uncertainty_score":0.002934158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008975766653876045,"score_gpt":0.2287185695020593,"score_spread":0.2197428028481833,"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."}}