{"id":"W2335964622","doi":"10.1038/ncomms11169","title":"A miR-192-EGR1-HOXB9 regulatory network controls the angiogenic switch in cancer","year":2016,"lang":"en","type":"article","venue":"Nature Communications","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":119,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Hospital; Sunnybrook Health Science Centre","funders":"National Center for Advancing Translational Sciences; National Institute of General Medical Sciences; National Cancer Institute; Canadian Institutes of Health Research; Deutsche Forschungsgemeinschaft; Ovarian Cancer Canada; Cancer Prevention and Research Institute of Texas; U.S. Department of Health and Human Services; National Institutes of Health; Ovarian Cancer Research Fund; Russell and Diana Hawkins Family Foundation; RGK Foundation; Ovarian Cancer Research Fund Alliance; U.S. Department of Defense","keywords":"Angiogenesis; microRNA; Cancer research; Regulator; Downregulation and upregulation; In vivo; Cancer; Suppressor; In vitro; Biology; Medicine; Internal medicine; Biochemistry; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000218658,0.0001883497,0.0001917119,0.000219216,0.0002272961,0.0004566582,0.0001563859,0.0001976432,0.00128344],"category_scores_gemma":[0.0002552363,0.0001970942,0.0001634971,0.0001507987,0.0002967225,0.0002659758,0.0003160371,0.0003382986,0.0005188054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004437998,"about_ca_system_score_gemma":0.0002392644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006597105,"about_ca_topic_score_gemma":0.0008314023,"domain_scores_codex":[0.9998158,0.00003762712,0.000008183329,0.00006566776,0.00003398323,0.00003875902],"domain_scores_gemma":[0.9999287,0.00001979716,0.00002200088,0.000007985453,0.000009769286,0.00001171867],"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":[0.0001980775,0.00001281636,0.003380948,0.00004669993,0.00001360175,0.0001511444,0.00006503845,0.0006311186,0.9837489,0.001240885,0.0002249218,0.01028579],"study_design_scores_gemma":[0.00004800281,0.0003092237,0.0863082,0.00003194778,0.00005883144,0.001331463,0.0003019497,0.01257825,0.8768703,0.001914719,0.02021432,0.00003278862],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9595075,0.005349128,0.02737542,0.0004344849,0.00005116689,0.00005982631,0.000710738,0.0005515136,0.005960084],"genre_scores_gemma":[0.9926451,0.0007718825,0.004921352,0.00006612813,0.00000613975,0.00002020299,0.0002168429,0.00002914396,0.001323069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00128344,"threshold_uncertainty_score":0.004293501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202824983223275,"score_gpt":0.2893615243146914,"score_spread":0.2773332744824586,"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."}}