{"id":"W2745512715","doi":"10.18632/oncotarget.20534","title":"Combined targeting of Raf and Mek synergistically inhibits tumorigenesis in triple negative breast cancer model systems","year":2017,"lang":"en","type":"article","venue":"Oncotarget","topic":"Melanoma and MAPK Pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Terry Fox Foundation","keywords":"Triple-negative breast cancer; MAPK/ERK pathway; Cancer research; Erlotinib; Lapatinib; MEK inhibitor; Epidermal growth factor receptor; Breast cancer; Medicine; Cancer; Receptor tyrosine kinase; Carcinogenesis; EGFR inhibitors; Kinase; Biology; Internal medicine; Receptor; Cell biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002353577,0.0005474336,0.0005225602,0.0005176192,0.0002608747,0.0004515884,0.0003200278,0.0002961985,0.001259786],"category_scores_gemma":[0.00009483022,0.0002392601,0.0004196801,0.0002531151,0.0002068368,0.0002751487,0.0003635844,0.0008814268,0.0005214909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004679733,"about_ca_system_score_gemma":0.0005030188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00144626,"about_ca_topic_score_gemma":0.0054939,"domain_scores_codex":[0.9997512,0.00004147677,0.00002069014,0.00003185689,0.00008660404,0.0000681507],"domain_scores_gemma":[0.9999114,0.00001331502,0.00001721661,0.00001123387,0.00001368881,0.00003318513],"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":[0.0004843423,0.0003188632,0.0003251172,0.0001369798,0.00004729297,0.00008855753,0.00004689277,0.0005667435,0.9915837,0.0002639733,0.0007797884,0.005357761],"study_design_scores_gemma":[0.00009283236,0.001893343,0.002413312,0.00001397835,0.00007831505,0.0003607882,0.00008575524,0.003175033,0.9851327,0.0000941679,0.006645562,0.00001423053],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827226,0.004657697,0.003598499,0.000399892,0.0001459292,0.0001409601,0.00110715,0.0002965576,0.00693057],"genre_scores_gemma":[0.988342,0.002613636,0.00322932,0.00008755488,0.00001308548,0.000134028,0.0006118098,0.0000313632,0.004937187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00144626,"threshold_uncertainty_score":0.004214346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.012358972104898,"score_gpt":0.2579569937641509,"score_spread":0.2455980216592529,"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."}}