{"id":"W4408253856","doi":"10.1093/narcan/zcaf007","title":"Harnessing transcriptional regulation of alternative end-joining to predict cancer treatment","year":2025,"lang":"en","type":"article","venue":"NAR Cancer","topic":"PARP inhibition in cancer therapy","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"DOD Prostate Cancer Research Program; Departament de Salut, Generalitat de Catalunya; European Regional Development Fund; Instituto de Salud Carlos III; Agència de Gestió d'Ajuts Universitaris i de Recerca; Generalitat de Catalunya; Agencia Estatal de Investigación; Ministerio de Ciencia, Innovación y Universidades; Albert Einstein Cancer Center; Centres de Recerca de Catalunya; U.S. Department of Defense","keywords":"PARP1; DNA repair; Effector; Biology; Poly ADP ribose polymerase; Cancer research; Homologous recombination; Oncogene; HIF1A; DNA damage; Cancer; PARP inhibitor; Cancer cell; Synthetic lethality; Promoter; Molecular biology; Polymerase; DNA; Gene; Cell biology; Cell cycle; Gene expression; Genetics; Angiogenesis","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":[0.0003197189,0.0003561699,0.000329483,0.0003766865,0.00006732187,0.0005062256,0.0002139469,0.0002768605,0.0008133643],"category_scores_gemma":[0.0007496993,0.0001145485,0.0002334818,0.0002814947,0.0001740323,0.0002576524,0.0001985496,0.000484428,0.0002954761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003391301,"about_ca_system_score_gemma":0.0002490482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000585396,"about_ca_topic_score_gemma":0.0007552635,"domain_scores_codex":[0.9998586,0.00002755517,0.00000654165,0.00004969187,0.00004462757,0.00001301993],"domain_scores_gemma":[0.999764,0.00007712524,0.00008653604,0.00001411344,0.00004167771,0.00001653109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009250807,0.0004999935,0.07208851,0.0004200347,0.0002345733,0.0001067528,0.00007996451,0.1948937,0.398857,0.002546824,0.002566344,0.3267813],"study_design_scores_gemma":[0.00003050207,0.0006160674,0.03091341,0.00003719208,0.0001033723,0.0001173851,0.00005137908,0.8157106,0.1443866,0.003859098,0.004143087,0.00003129191],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7451275,0.006250742,0.2394969,0.001123228,0.0001114174,0.0000896124,0.001425384,0.001506927,0.004868259],"genre_scores_gemma":[0.9830488,0.0007945986,0.01483875,0.00009725543,0.00003341062,0.00003359753,0.0004292983,0.00003042506,0.0006938356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008133643,"threshold_uncertainty_score":0.002720952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04694264841448222,"score_gpt":0.3730125163511235,"score_spread":0.3260698679366413,"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."}}