{"id":"W4384926921","doi":"10.1016/j.ccell.2023.06.010","title":"Loss of SYNCRIP unleashes APOBEC-driven mutagenesis, tumor heterogeneity, and AR-targeted therapy resistance in prostate cancer","year":2023,"lang":"en","type":"article","venue":"Cancer Cell","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"University of Texas Southwestern Medical Center; Cancer Prevention and Research Institute of Texas; Terry Fox Foundation; Welch Foundation; Damon Runyon Cancer Research Foundation; National Cancer Institute; National Institutes of Health; Prostate Cancer Foundation; Howard Hughes Medical Institute; U.S. Department of Defense","keywords":"APOBEC; Mutagenesis; Biology; Cancer research; Prostate cancer; Cytosine deaminase; Mutation; Targeted therapy; Cancer; Genetics; Gene; Genetic enhancement; Genome","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":[0.0001375836,0.0001511181,0.000231457,0.0002032614,0.0001392752,0.0003681042,0.0001675089,0.0002050129,0.001372118],"category_scores_gemma":[0.0001237213,0.0001125199,0.0001430907,0.0001360693,0.0002384801,0.0001732337,0.0002438938,0.0004808401,0.0002414014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003273867,"about_ca_system_score_gemma":0.0003217741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006817396,"about_ca_topic_score_gemma":0.001738932,"domain_scores_codex":[0.9998853,0.0000136082,0.00000515395,0.00002047084,0.00005070835,0.00002475371],"domain_scores_gemma":[0.9999021,0.00001543129,0.00002897687,0.00001340161,0.00000950208,0.00003050369],"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":[0.00007362175,0.00003006146,0.001278216,0.00002219129,0.000007113932,0.00009191413,0.00001181723,0.0001341384,0.9942233,0.0003249444,0.00008853663,0.003714211],"study_design_scores_gemma":[0.00002503491,0.0006583224,0.03069133,0.000009176531,0.00002913399,0.002279427,0.00007937071,0.004305992,0.9543309,0.0003232532,0.007256449,0.00001162973],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921204,0.002149673,0.003413134,0.0001524838,0.0000164377,0.00002418454,0.0001841189,0.0001542787,0.001785313],"genre_scores_gemma":[0.9982625,0.0003296693,0.0004585693,0.00004266956,0.000002704856,0.000005021481,0.00009119706,0.00000961208,0.0007980605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001372118,"threshold_uncertainty_score":0.004590213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03132180917794032,"score_gpt":0.3249537764548714,"score_spread":0.2936319672769311,"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."}}