{"id":"W2089686819","doi":"10.1016/j.celrep.2014.02.045","title":"Intrinsic Resistance to MEK Inhibition in KRAS Mutant Lung and Colon Cancer through Transcriptional Induction of ERBB3","year":2014,"lang":"en","type":"article","venue":"Cell Reports","topic":"Melanoma and MAPK Pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":316,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"Associazione Italiana per la Ricerca sul Cancro; Ministero dell’Istruzione, dell’Università e della Ricerca; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"KRAS; ERBB3; Kinome; Downregulation and upregulation; Cancer research; Receptor tyrosine kinase; Mutant; Cetuximab; ErbB; MEK inhibitor; Kinase; Colorectal cancer; Biology; Cancer; MAPK/ERK pathway; Signal transduction; Medicine; Cell biology; Internal medicine; Gene; Biochemistry","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":[0.00008346912,0.000173961,0.0001531053,0.0001485356,0.00009882838,0.0002249468,0.00009439931,0.0001215992,0.0009552267],"category_scores_gemma":[0.00007456654,0.00009360279,0.0001535551,0.0001110281,0.0001131195,0.00009236369,0.0001199644,0.0003806594,0.0002485334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002104056,"about_ca_system_score_gemma":0.0001676243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004610151,"about_ca_topic_score_gemma":0.001368574,"domain_scores_codex":[0.999925,0.00001126336,0.000006676551,0.000009217956,0.00002578633,0.00002201436],"domain_scores_gemma":[0.9999553,0.000007924925,0.00001150072,0.000007060503,0.000005093906,0.00001309555],"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":[0.00005246155,0.00001582164,0.0004717023,0.00001453202,0.000003765639,0.00003420914,0.000005345441,0.000136663,0.9978552,0.0001014878,0.00003881309,0.001269832],"study_design_scores_gemma":[0.00001143642,0.0003397618,0.007152156,0.000002899232,0.00001092601,0.0005000993,0.00001697171,0.0009707881,0.9896753,0.00005677543,0.001259918,0.000002828923],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972332,0.0006273661,0.0007710301,0.00006554249,0.000005450403,0.000008974018,0.0001411734,0.00004734673,0.001099952],"genre_scores_gemma":[0.998261,0.0003237349,0.0004666151,0.0000154904,0.000001915386,0.000007658396,0.0001191831,0.00000677666,0.0007975214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009552267,"threshold_uncertainty_score":0.003195524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008725670807022873,"score_gpt":0.2299171364603361,"score_spread":0.2211914656533132,"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."}}