{"id":"W4387976279","doi":"10.1101/2023.10.24.563645","title":"ZNF397 Loss Triggers TET2-driven Epigenetic Rewiring, Lineage Plasticity, and AR-targeted Therapy Resistance in AR-dependent Cancers","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"National Cancer Institute; Stand Up To Cancer; University of Texas Southwestern Medical Center; NightstaRx; Cancer Prevention and Research Institute of Texas; AstraZeneca; Prostate Cancer Foundation; Eli Lilly and Company; National Institutes of Health; Susan G. Komen for the Cure; Pfizer; Breast Cancer Research Foundation; U.S. Department of Defense","keywords":"Epigenetics; Lineage (genetic); Biology; Reprogramming; Cancer research; Cancer; Genetics; Cell; 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":[0.00006699507,0.0001267213,0.0001532399,0.0001524755,0.0001465133,0.0001629438,0.000198893,0.0002700743,0.001600312],"category_scores_gemma":[0.0000679834,0.00009163152,0.0001611881,0.0001188872,0.0001585175,0.00009185346,0.0002129675,0.0004355251,0.0002723597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003279324,"about_ca_system_score_gemma":0.0001677994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001003035,"about_ca_topic_score_gemma":0.001462391,"domain_scores_codex":[0.9998938,0.000009939737,0.000007964016,0.00002048656,0.00003718697,0.00003055331],"domain_scores_gemma":[0.9999509,0.000006281852,0.00001631377,0.00000747275,0.000004045346,0.00001493091],"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":[0.00007708061,0.00002545281,0.0002873566,0.000009816882,0.000003576186,0.0000720026,0.000006502048,0.00008679425,0.9982682,0.0001483524,0.00009656823,0.0009181609],"study_design_scores_gemma":[0.00002188345,0.0001404473,0.006101624,0.000002785402,0.000006979486,0.0003208958,0.00002777372,0.002168049,0.9882993,0.0001246559,0.002781957,0.00000368697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955722,0.0005203491,0.001507856,0.0001507123,0.00002389446,0.000020093,0.0004709084,0.0001028421,0.00163117],"genre_scores_gemma":[0.9974355,0.0001551585,0.0003860523,0.00003514254,0.000002683863,0.0000179779,0.0002709118,0.00001125745,0.001685324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001600312,"threshold_uncertainty_score":0.00535363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0178386103324063,"score_gpt":0.2440976526988901,"score_spread":0.2262590423664838,"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."}}