{"id":"W4414459627","doi":"10.1182/blood.2025028954","title":"CEBPA repression by MECOM blocks differentiation to drive aggressive leukemias","year":2025,"lang":"en","type":"article","venue":"Blood","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Edward P. Evans Foundation; Dana-Farber Cancer Institute; Alex's Lemonade Stand Foundation for Childhood Cancer; National Cancer Institute; National Institutes of Health; National Science Foundation","keywords":"CEBPA; Psychological repression; Transcription factor; Myeloid leukemia; Stem cell; Myeloid; Leukemia; Regulator; Regulation of gene expression; Gene","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":[0.0001218624,0.000290682,0.0001998225,0.0001635511,0.0001114984,0.0002579749,0.0002465009,0.0001492028,0.001580827],"category_scores_gemma":[0.0001191397,0.0001143667,0.0001121677,0.000104272,0.0002292587,0.0000867066,0.0002425134,0.0004861722,0.0004940442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000359491,"about_ca_system_score_gemma":0.0003130232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008101565,"about_ca_topic_score_gemma":0.001285726,"domain_scores_codex":[0.9998821,0.00001687864,0.00001230661,0.00002470354,0.00003218662,0.00003179447],"domain_scores_gemma":[0.9998968,0.00002537134,0.00002486638,0.00001269104,0.000007528733,0.00003279358],"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":[0.00007957754,0.00002215564,0.00009825821,0.00001349366,0.000002639352,0.00001617695,0.000003971106,0.00009206109,0.9987156,0.0001330051,0.0000301547,0.0007929354],"study_design_scores_gemma":[0.00001169777,0.00009774516,0.0006982379,0.000002013116,0.000003407245,0.00004454096,0.000005596679,0.000759309,0.9970394,0.00002768477,0.001309162,0.000001233533],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910498,0.001023734,0.004813142,0.0001040256,0.00003461464,0.00003911713,0.0005437549,0.0002260538,0.002165814],"genre_scores_gemma":[0.9951364,0.0002946358,0.002069365,0.00003220982,0.000005012674,0.00002296345,0.000347044,0.00003628697,0.002056117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001580827,"threshold_uncertainty_score":0.005288422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003332563265496075,"score_gpt":0.231285927842674,"score_spread":0.227953364577178,"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."}}