{"id":"W4308834730","doi":"10.1016/j.ccell.2022.10.009","title":"Cancer-selective metabolic vulnerabilities in MYC-amplified medulloblastoma","year":2022,"lang":"en","type":"article","venue":"Cancer Cell","topic":"Biochemical and Molecular Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":98,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Brain Tumour Foundation of Canada; Canadian Cancer Society; Canada Foundation for Innovation; Ontario Institute for Cancer Research","keywords":"Medulloblastoma; Pyrimidine metabolism; Cancer research; Dihydroorotate dehydrogenase; Biology; Cancer; Pyrimidine; Enzyme; Biochemistry; Genetics; Purine","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":[0.00008560726,0.0002301512,0.0001758825,0.0004287709,0.0002107122,0.0004129315,0.000211144,0.0001991793,0.001191695],"category_scores_gemma":[0.0001610659,0.0001405785,0.0001412867,0.0003254268,0.0002486415,0.0003008328,0.000371227,0.0002888355,0.0001566068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005562373,"about_ca_system_score_gemma":0.0003137157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002735425,"about_ca_topic_score_gemma":0.004268243,"domain_scores_codex":[0.999927,0.000008307583,0.000007313141,0.00001231315,0.00001809583,0.00002693963],"domain_scores_gemma":[0.9999275,0.000009736869,0.00002004374,0.000008562931,0.000009664847,0.00002445044],"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":[0.0003911442,0.00001677031,0.004470221,0.00002981917,0.00001478413,0.0007315109,0.00003076141,0.0002558776,0.9904118,0.001274517,0.00006567031,0.002307122],"study_design_scores_gemma":[0.00001739951,0.0001921087,0.05820593,0.000006123597,0.00004497141,0.005648622,0.0002171754,0.001582658,0.9296167,0.001112028,0.003344972,0.00001119508],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970823,0.0006051867,0.0007085812,0.0000984011,0.00000486613,0.000006512627,0.0003256008,0.00004217734,0.001126332],"genre_scores_gemma":[0.9988851,0.000275762,0.0002240314,0.00001038607,0.000001409837,0.000002565245,0.0001297906,0.000006918726,0.0004640562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002735425,"threshold_uncertainty_score":0.005439043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01168663200559505,"score_gpt":0.2817273646080764,"score_spread":0.2700407326024813,"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."}}