{"id":"W2891657378","doi":"10.1007/s10549-018-4965-x","title":"Epigenetic modulation of FOXM1-gene interacting network by BET inhibitors in breast cancer","year":2018,"lang":"en","type":"article","venue":"Breast Cancer Research and Treatment","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"Instituto de Salud Carlos III; Centro de Investigación Biomédica en Red de Cáncer; Diputación de Albacete; Ministerio de Economía y Competitividad; CRIS Cancer Foundation; Fundación Científica Asociación Española Contra el Cáncer","keywords":"FOXM1; Breast cancer; Gene knockdown; Cancer research; Gene signature; Biology; Cancer; Epigenetics; Transcription factor; Bromodomain; Gene expression; Oncology; Medicine; Gene; Genetics","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":[0.0001522265,0.0001424443,0.0002277532,0.0002144857,0.0001776985,0.000240332,0.0001806355,0.0001316712,0.001722024],"category_scores_gemma":[0.0001483555,0.0001072346,0.0001944904,0.0001713843,0.0001151971,0.0001685451,0.0001558838,0.0002935978,0.0001869914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003157032,"about_ca_system_score_gemma":0.0001574423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003704193,"about_ca_topic_score_gemma":0.001207969,"domain_scores_codex":[0.9999353,0.00001009022,0.000003648006,0.00001419717,0.0000169514,0.00001976013],"domain_scores_gemma":[0.9999633,0.000006342512,0.00001248431,0.000004741524,0.000004612921,0.000008498072],"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":[0.001288048,0.0001809667,0.003806943,0.0001447488,0.00009548477,0.0001293476,0.00004424632,0.0009777369,0.9666904,0.001372795,0.0006898205,0.02457945],"study_design_scores_gemma":[0.0002029484,0.0009184706,0.053404,0.00002611643,0.000261807,0.0005724382,0.0001394248,0.00778087,0.9127405,0.000799171,0.02313817,0.00001615532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846236,0.008948292,0.002127729,0.0002257289,0.000065136,0.00002154993,0.0003963129,0.00009734177,0.003494254],"genre_scores_gemma":[0.9954406,0.001805757,0.000463526,0.00006667238,0.000008257304,0.00001966893,0.0002840428,0.00001153731,0.001899786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001722024,"threshold_uncertainty_score":0.005760789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02472891312646837,"score_gpt":0.3411579607309338,"score_spread":0.3164290476044654,"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."}}