{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008181736,0.00011131,0.0001566093,0.0002874662,0.00009831329,0.0001597403,0.00007361078,0.00009297528,0.002362006],"category_scores_gemma":[0.0001116486,0.00007095699,0.0001235314,0.0001350235,0.0001578644,0.00006775642,0.0002018123,0.0001597166,0.0002259487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009475311,"about_ca_system_score_gemma":0.00007312091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002886125,"about_ca_topic_score_gemma":0.0005104299,"domain_scores_codex":[0.9999367,0.000009320428,0.000005610587,0.00001880887,0.00001456425,0.00001498256],"domain_scores_gemma":[0.9999212,0.00001826341,0.00002011285,0.0000129235,0.000008557049,0.00001884535],"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":[0.0005775118,0.00002401219,0.03373513,0.00001930586,0.00001067746,0.00027672,0.00008113519,0.0001357702,0.9594616,0.0001266924,0.00003107169,0.005520516],"study_design_scores_gemma":[0.00006343186,0.001847626,0.5961182,0.000006407082,0.00008938727,0.01110671,0.0002929086,0.002275174,0.3841853,0.0003899776,0.003616263,0.000008685216],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987219,0.00009513261,0.0006453489,0.000008068615,4.553095e-7,0.000007102969,0.0001079503,0.0000145144,0.0003995528],"genre_scores_gemma":[0.9992141,0.0000297185,0.0002957108,0.00000649476,0.000001028247,0.000005197805,0.0001745346,0.000003144728,0.0002700132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002362006,"threshold_uncertainty_score":0.007901728,"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."}}