{"id":"W2738259427","doi":"10.1158/2159-8290.cd-17-0399","title":"Superenhancer Analysis Defines Novel Epigenomic Subtypes of Non-APL AML, Including an RARα Dependency Targetable by SY-1425, a Potent and Selective RARα Agonist","year":2017,"lang":"en","type":"article","venue":"Cancer Discovery","topic":"Retinoids in leukemia and cellular processes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":138,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"National Cancer Institute; National Institutes of Health","keywords":"Retinoic acid receptor; Epigenomics; Cancer research; Biology; Acute promyelocytic leukemia; Epigenetics; Retinoic acid; Cancer; Agonist; Myeloid leukemia; Myeloid; Genetics; Gene; DNA methylation; Receptor; Gene expression","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001611917,0.0002549748,0.0004096253,0.00006569491,0.0004121751,0.0001932834,0.0004272561,0.0001774286,0.00001929815],"category_scores_gemma":[0.00005956346,0.0002395331,0.0001563538,0.0001200378,0.0002607963,0.00007985436,0.0002448411,0.0001169164,0.000001047333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006692425,"about_ca_system_score_gemma":0.0003659644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00160584,"about_ca_topic_score_gemma":0.0007199728,"domain_scores_codex":[0.9985518,0.00002999405,0.0002845251,0.0006405074,0.0001590943,0.0003340724],"domain_scores_gemma":[0.9988441,0.00001234066,0.0002987816,0.0006018238,0.000145298,0.00009765883],"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":[0.0001424611,0.00008265895,0.1258242,0.00009894889,0.0006159608,0.000001769292,0.0001135091,0.000216538,0.8715891,0.00002416792,0.0002151467,0.001075521],"study_design_scores_gemma":[0.0006604246,0.0001593873,0.03383231,0.00003452176,0.0004610155,0.000003955809,0.0001459203,0.000248007,0.9633114,0.0001116358,0.0006641138,0.0003672603],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778963,0.01196206,0.00873423,0.00004265356,0.0001550502,0.000157695,0.0002436083,0.000006929814,0.0008014613],"genre_scores_gemma":[0.9930898,0.004805835,0.0003435093,0.00005977495,0.0002009444,0.00006231842,0.0002267178,0.0000323667,0.001178757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09199192,"threshold_uncertainty_score":0.9767875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01319724735108844,"score_gpt":0.2832013587155504,"score_spread":0.2700041113644619,"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."}}