{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008264779,0.0001374565,0.0002768842,0.0001938693,0.00006571586,0.000008860462,0.00005009179,0.00006235273,0.001616971],"category_scores_gemma":[0.0000107794,0.0001228399,0.00009705358,0.0003237675,0.00005754328,0.00008100751,0.000007447603,0.00007765508,0.000004176299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113635,"about_ca_system_score_gemma":0.0005820168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009985396,"about_ca_topic_score_gemma":0.0001685683,"domain_scores_codex":[0.9989648,0.00003188102,0.000284153,0.0002640837,0.0002880272,0.0001670041],"domain_scores_gemma":[0.999437,0.00003691101,0.00009430349,0.0001631389,0.0001961357,0.00007256006],"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":[0.002722641,0.0002925087,0.04424065,0.0002407712,0.0008772769,0.000007154746,0.005011703,0.011573,0.6564121,0.002970244,0.007410453,0.2682415],"study_design_scores_gemma":[0.009232597,0.0005311542,0.1829847,0.003449212,0.0003646568,0.000006283017,0.000239916,0.003204492,0.613825,0.0008420792,0.1850477,0.0002722472],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.948689,0.008239129,0.0104181,0.0153823,0.002184063,0.001245751,0.0004651937,0.0001237948,0.0132527],"genre_scores_gemma":[0.9912866,0.0005879166,0.0008671522,0.00149737,0.0004586197,0.0005338224,0.00002667512,0.00001806455,0.004723832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2679692,"threshold_uncertainty_score":0.9992957,"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."}}