{"id":"W3012235119","doi":"10.1016/j.annonc.2020.01.031","title":"30P Assessing the potential role of RICTOR expression as predictive factor of response to PI3K/mTOR pathway inhibitors in preclinical models of squamous cell lung cancer","year":2020,"lang":"en","type":"article","venue":"Annals of Oncology","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Principia Biopharma; Loxo Oncology; Pharmacyclics; Chugai Pharmaceutical; Genentech; Foundation Medicine; King Abdullah International Medical Research Center; Sierra Oncology; European Society for Medical Oncology; PharmaMar; Novartis Farmacéutica; Servier; Menarini Group; Seagen; MacroGenics; Eli Lilly and Company; U.S. Department of Defense; Sanofi; Halozyme; Array BioPharma; Ipsen; BeiGene; Spectrum Pharmaceuticals; Symphogen; Pfizer; Les Laboratories Pierre Fabre; AstraZeneca; GlaxoSmithKline","keywords":"PI3K/AKT/mTOR pathway; Cancer research; Biology; Gene silencing; RNA interference; Small hairpin RNA; RPTOR; Cell growth; Polysomy; Cell culture; Signal transduction; Fluorescence in situ hybridization; Gene; Cell biology; Genetics; Gene knockdown; RNA; Chromosome","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004808311,0.0003153539,0.0003402637,0.0004337018,0.0001734203,0.0003953954,0.0002110554,0.0004771208,0.003007325],"category_scores_gemma":[0.0004502898,0.0001743788,0.0001899315,0.0002747057,0.0003547283,0.0002973554,0.0001696296,0.0009115965,0.000583154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004192139,"about_ca_system_score_gemma":0.0002978684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008421876,"about_ca_topic_score_gemma":0.001059218,"domain_scores_codex":[0.9997348,0.00005896584,0.00001484599,0.00004990782,0.00008757592,0.00005381234],"domain_scores_gemma":[0.9997994,0.00005047623,0.00004958015,0.00002413258,0.00003585658,0.00004053153],"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":[0.001723683,0.0002218063,0.001528288,0.00005272876,0.00002583082,0.0000637945,0.00002970055,0.0006870476,0.9883553,0.0002453,0.0002734907,0.006792953],"study_design_scores_gemma":[0.00009889995,0.003589107,0.01383073,0.000009459729,0.00006706517,0.0002291518,0.00005990462,0.005568309,0.9734523,0.0002269183,0.002856698,0.00001158964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883108,0.001278706,0.003750709,0.0002755432,0.0000748192,0.0001041614,0.001412122,0.0001695564,0.004623731],"genre_scores_gemma":[0.9910129,0.0004141173,0.002935402,0.00008643766,0.00001773044,0.0001402441,0.0009145453,0.00004347453,0.004435138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003007325,"threshold_uncertainty_score":0.01006049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04908382524576591,"score_gpt":0.3836032356967006,"score_spread":0.3345194104509347,"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."}}