{"id":"W4280492129","doi":"10.1073/pnas.2114324119","title":"H3K9 methylation drives resistance to androgen receptor–antagonist therapy in prostate cancer","year":2022,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health; National Cancer Institute; Medical Research Council; National Institute for Health and Care Research; U.S. Department of Defense","keywords":"Prostate cancer; Antiandrogens; Cancer research; Antiandrogen; Vorinostat; Gene silencing; Androgen receptor; Epigenetics; Flutamide; Epigenetic therapy; Biology; Cancer; Medicine; Internal medicine; Histone; DNA methylation; Gene expression; Genetics; Histone deacetylase","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":[0.0001181316,0.0001118714,0.0001614676,0.0002059267,0.000176495,0.0003476539,0.0001538435,0.0002239209,0.001834068],"category_scores_gemma":[0.0001320789,0.0001685623,0.0001725834,0.0001582651,0.0002384978,0.00009499484,0.0001604682,0.0006054553,0.0002764506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003540519,"about_ca_system_score_gemma":0.0003150846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001261516,"about_ca_topic_score_gemma":0.002098368,"domain_scores_codex":[0.9998958,0.00001550911,0.000006333586,0.00002427784,0.00003151957,0.00002654655],"domain_scores_gemma":[0.9999187,0.00001071022,0.00002370582,0.000009650421,0.000007223497,0.00002995982],"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":[0.0002274184,0.00009307181,0.005324681,0.00002508408,0.00001949892,0.0001782019,0.00003469002,0.0002403997,0.989116,0.0002958521,0.0002042839,0.004240814],"study_design_scores_gemma":[0.00007590125,0.001516645,0.1740178,0.00001300228,0.0000766347,0.003554431,0.0002011493,0.006040052,0.8069575,0.0006619972,0.006854112,0.00003070343],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968569,0.0006124059,0.0006234301,0.0001618998,0.00001626421,0.00001664646,0.0001707003,0.00008213859,0.001459576],"genre_scores_gemma":[0.9987693,0.0001984241,0.0001303343,0.00003984652,0.000003280386,0.00000446717,0.00007873354,0.000007895126,0.0007675962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001834068,"threshold_uncertainty_score":0.006135583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02601174289027504,"score_gpt":0.3300545220281426,"score_spread":0.3040427791378676,"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."}}