{"id":"W3186390505","doi":"10.1038/s41467-021-24677-6","title":"Lineage-defined leiomyosarcoma subtypes emerge years before diagnosis and determine patient survival","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Sarcoma Diagnosis and Treatment","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; Princess Margaret Cancer Centre; SickKids Foundation; University of Toronto; University Health Network; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; Hospital for Sick Children","funders":"Ontario Ministry of Research and Innovation; Canadian Institutes of Health Research; Hospital for Sick Children; University of Toronto; St. Baldrick's Foundation","keywords":"Biology; Subtyping; Homologous recombination; Leiomyosarcoma; Genome; Somatic evolution in cancer; Transcriptome; Lineage (genetic); CRISPR; Phylogenetic tree; Cancer research; Computational biology; Bioinformatics; Genetics; Gene; Pathology; Medicine; Gene expression","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":[0.00008553016,0.0001588616,0.0002910597,0.00008509018,0.0001771559,0.00003202545,0.0001977661,0.0002023096,0.0001034161],"category_scores_gemma":[0.0003241895,0.0001427038,0.0001206667,0.0003287006,0.00009941635,0.00005454871,0.0003642942,0.0004933322,0.00002328991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005468954,"about_ca_system_score_gemma":0.00007928573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005463347,"about_ca_topic_score_gemma":0.001688811,"domain_scores_codex":[0.9989811,0.0001107101,0.0002595226,0.0002547519,0.0002062297,0.0001877349],"domain_scores_gemma":[0.9976732,0.0003879586,0.00007616409,0.001507751,0.0002147097,0.0001402857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001951148,0.00141004,0.9218474,0.00002174881,0.0001947368,0.0001596674,0.0003868969,3.045607e-7,0.0001699041,0.003056704,0.003382733,0.06935032],"study_design_scores_gemma":[0.0009541811,0.0001487902,0.8439505,0.00009028576,0.0002378668,0.0001022884,0.0001624759,0.00006963862,0.001917713,0.00008168718,0.1521464,0.0001381366],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9314898,0.05159206,0.000002201233,0.01485112,0.0001889904,0.000310481,0.00007411958,0.00007670708,0.001414589],"genre_scores_gemma":[0.985977,0.00609808,0.006137755,0.0009309701,0.00005799728,0.0001966966,0.0004569127,0.0000283184,0.0001162902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1487637,"threshold_uncertainty_score":0.5819291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02786700284964891,"score_gpt":0.3065186559412287,"score_spread":0.2786516530915797,"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."}}