{"id":"W4390935719","doi":"10.1073/pnas.2318093121","title":"A second-generation eIF4A RNA helicase inhibitor exploits translational reprogramming as a vulnerability in triple-negative breast cancer","year":2024,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Jewish General Hospital; McGill University","funders":"Canadian Institutes of Health Research; Government of Canada; McGill University","keywords":"Triple-negative breast cancer; Reprogramming; eIF4A; RNA Helicase A; Cancer research; Translation (biology); Cancer; Helicase; Initiation factor; Breast cancer; Messenger RNA; Medicine; RNA; Biology; Internal medicine; Cell; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001405292,0.0002592208,0.0003262015,0.0001778952,0.00009499484,0.0002613251,0.0001730539,0.0002733271,0.0007199009],"category_scores_gemma":[0.0000737255,0.00008088453,0.0001727118,0.00007990126,0.0001214801,0.0001668647,0.0001243994,0.0004267876,0.0001957297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001949583,"about_ca_system_score_gemma":0.0001529586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002300106,"about_ca_topic_score_gemma":0.0006722836,"domain_scores_codex":[0.9999483,0.000009160506,0.000004458105,0.00001144197,0.00001208456,0.00001462711],"domain_scores_gemma":[0.9999692,0.000006259446,0.000009016292,0.000003729048,0.000003427591,0.0000082726],"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":[0.0002244082,0.00008613236,0.0001887792,0.00007155273,0.00001092674,0.0001005613,0.00001778001,0.0003079187,0.9907991,0.0002726034,0.0001355237,0.007784584],"study_design_scores_gemma":[0.0001358099,0.003737373,0.002155325,0.00001164618,0.00004311542,0.0008442766,0.00002364412,0.001460509,0.9817113,0.0001077726,0.009753147,0.00001616966],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859827,0.005211497,0.004345794,0.0002450529,0.00004918602,0.0001154475,0.0003015027,0.0001512158,0.003597637],"genre_scores_gemma":[0.9932877,0.001674801,0.002615784,0.0001052825,0.00001449423,0.00005047648,0.0002787203,0.00001517604,0.001957513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007199009,"threshold_uncertainty_score":0.002408326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04091796385717734,"score_gpt":0.3249641491361511,"score_spread":0.2840461852789738,"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."}}