{"id":"W4405537000","doi":"10.1182/blood.2024025690","title":"Heme promotes venetoclax resistance in multiple myeloma through MEK-ERK signaling and purine biosynthesis","year":2024,"lang":"en","type":"article","venue":"Blood","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; National Eye Institute; Pfizer; National Heart, Lung, and Blood Institute; Genentech; National Institutes of Health; Regeneron Pharmaceuticals; National Cancer Institute; Emory University; Amgen; Georgia Institute of Technology; Cancer Prevention and Research Institute of Texas; GlaxoSmithKline","keywords":"Heme; Biochemistry; Hemin; Biology; Globin; Chemistry; Cancer research; Enzyme; Hemoglobin","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":[0.0001421938,0.0001635177,0.000135218,0.0001067569,0.0001395002,0.000239524,0.0001174473,0.0001288819,0.002034365],"category_scores_gemma":[0.0001037575,0.00007492056,0.0001468006,0.0001053965,0.000120656,0.0001083109,0.0001408141,0.0005520086,0.0002193862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002620414,"about_ca_system_score_gemma":0.0001845775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005639615,"about_ca_topic_score_gemma":0.001221044,"domain_scores_codex":[0.9999182,0.00001883918,0.000004937249,0.00001283173,0.00002069661,0.00002451365],"domain_scores_gemma":[0.9999471,0.000008475588,0.00001601147,0.000006046258,0.000006453615,0.00001605259],"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":[0.003019884,0.0005194215,0.006830718,0.0001491131,0.00003988084,0.0002324952,0.00005829329,0.0003232316,0.9735227,0.000232509,0.0007885292,0.0142831],"study_design_scores_gemma":[0.0004522873,0.00388609,0.1659127,0.00002582092,0.0001276743,0.001750629,0.0002175313,0.005219229,0.8115751,0.000313582,0.01050507,0.00001431701],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975067,0.001041661,0.0002539456,0.000147888,0.00001440506,0.00001157597,0.0001844817,0.0000358824,0.0008035097],"genre_scores_gemma":[0.9985013,0.0002409356,0.0001819846,0.00003437258,0.000005192914,0.000009780305,0.0001413694,0.000003283405,0.0008816567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002034365,"threshold_uncertainty_score":0.006805658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03149116940997665,"score_gpt":0.2897438552208521,"score_spread":0.2582526858108755,"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."}}