{"id":"W1972841107","doi":"10.1038/onc.2012.572","title":"Active kinase profiling, genetic and pharmacological data define mTOR as an important common target in triple-negative breast cancer","year":2012,"lang":"en","type":"article","venue":"Oncogene","topic":"PI3K/AKT/mTOR signaling in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":91,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"European Regional Development Fund; Instituto de Salud Carlos III; Ministerio de Ciencia e Innovación","keywords":"mTORC2; mTORC1; PI3K/AKT/mTOR pathway; Triple-negative breast cancer; Biology; Cancer research; Receptor tyrosine kinase; RPTOR; Targeted therapy; Kinase; Mechanistic target of rapamycin; Cell growth; Breast cancer; Cancer; Signal transduction; Cell biology; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002653656,0.0004428977,0.0004735529,0.0007460133,0.0003851751,0.0009150386,0.000266193,0.0003240909,0.001070775],"category_scores_gemma":[0.0002939204,0.0001843262,0.0002868161,0.0005454136,0.0003153004,0.0003800443,0.0003316676,0.0006852954,0.0003872577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007045154,"about_ca_system_score_gemma":0.0004738442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000983955,"about_ca_topic_score_gemma":0.001681339,"domain_scores_codex":[0.999801,0.00001599689,0.00002153563,0.0000394332,0.00008468545,0.00003726745],"domain_scores_gemma":[0.9998603,0.00001794614,0.00003731479,0.00001589612,0.00002690753,0.0000416356],"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":[0.000310436,0.00003159151,0.002019955,0.00005072119,0.00001780306,0.0002120969,0.00002029164,0.0001696223,0.9912249,0.0006734853,0.0001788905,0.005090213],"study_design_scores_gemma":[0.00003526995,0.0004134222,0.02925522,0.00001096476,0.0001145319,0.003994473,0.0001350404,0.001393201,0.9566872,0.0007431855,0.007203555,0.00001406156],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837554,0.004425461,0.004412349,0.000490481,0.00005235188,0.00004900569,0.001992218,0.0001587437,0.004664035],"genre_scores_gemma":[0.9945781,0.001279528,0.001620818,0.0001036033,0.00001345524,0.00003152488,0.001217059,0.00002513172,0.001130749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001070775,"threshold_uncertainty_score":0.005111635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03258106899324267,"score_gpt":0.3488559532594852,"score_spread":0.3162748842662425,"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."}}