{"id":"W4410633323","doi":"10.1016/j.neo.2025.101176","title":"PRMT1 inhibitor MS023 suppresses RNA splicing to sensitize small cell lung cancer to DNA damaging agents","year":2025,"lang":"en","type":"article","venue":"Neoplasia","topic":"Cancer-related gene regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; University of Toronto; Ontario Institute for Cancer Research; Princess Margaret Cancer Centre","funders":"National Center for Advancing Translational Sciences; Clinical and Translational Science Center, Weill Cornell Medical College; Canadian Institutes of Health Research; Terry Fox Research Institute; Canada Foundation for Innovation; National Cancer Institute; National Institutes of Health; Memorial Sloan-Kettering Cancer Center","keywords":"RNA splicing; Lung cancer; Cancer research; RNA; Alternative splicing; Molecular biology; DNA; Biology; Medicine; Gene; Messenger RNA; Genetics; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000850397,0.0002068615,0.0001713697,0.0001270664,0.000108506,0.00006492202,0.0001589658,0.0001620272,0.00003130063],"category_scores_gemma":[0.00004316673,0.0002332647,0.0000715568,0.0003059944,0.00001601453,0.000005813458,0.0002181738,0.0001011785,0.00002139663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000116426,"about_ca_system_score_gemma":0.0001909579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002714756,"about_ca_topic_score_gemma":0.0008139969,"domain_scores_codex":[0.9987306,0.00003932594,0.0002282986,0.000516662,0.000130722,0.0003543814],"domain_scores_gemma":[0.9992742,0.00001552453,0.00005777068,0.0003955254,0.0001148282,0.0001421715],"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":[0.00008402082,0.00001961594,0.002890424,0.00007862989,0.00004960458,0.000004837102,0.0001959526,0.009885976,0.9410781,0.000006115859,0.04124914,0.004457531],"study_design_scores_gemma":[0.0004784433,0.00004936627,0.007332394,0.0001671767,0.0000578761,0.000004006162,0.00007481899,0.0007506292,0.9488274,0.000004840416,0.04201263,0.0002403671],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991765,0.0005076611,0.002204575,0.001129397,0.0009583602,0.000521848,0.00002637544,0.00003807077,0.002848702],"genre_scores_gemma":[0.9919947,0.00005472723,0.0008136884,0.001162766,0.0005052461,0.00006357855,0.00006238952,0.00003702339,0.005305906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009135347,"threshold_uncertainty_score":0.9512258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00583066562863572,"score_gpt":0.262289336034891,"score_spread":0.2564586704062553,"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."}}