{"id":"W3183839551","doi":"10.1038/s41388-021-01911-5","title":"Targeting mTOR signaling overcomes acquired resistance to combined BRAF and MEK inhibition in BRAF-mutant melanoma","year":2021,"lang":"en","type":"article","venue":"Oncogene","topic":"Melanoma and MAPK Pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"National Institute of General Medical Sciences; DOD Peer Reviewed Cancer Research Program; U.S. Department of Health and Human Services; National Cancer Institute; National Institutes of Health; Dr. Miriam and Sheldon G. Adelson Medical Research Foundation; U.S. Department of Defense","keywords":"mTORC1; PI3K/AKT/mTOR pathway; Melanoma; Cancer research; PTEN; MAPK/ERK pathway; MEK inhibitor; Biology; Protein kinase B; Signal transduction; Targeted therapy; Cell growth; Cancer; Cell biology; Biochemistry; 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":[0.0001048892,0.0002676851,0.000432374,0.0002502633,0.0001239039,0.0002655025,0.000224888,0.0001739655,0.0008482618],"category_scores_gemma":[0.00007777419,0.0001196766,0.0002379239,0.0001281739,0.000124153,0.0001520016,0.0001489941,0.0005562665,0.0001840655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001902284,"about_ca_system_score_gemma":0.0002108748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005252368,"about_ca_topic_score_gemma":0.001561259,"domain_scores_codex":[0.9999127,0.00001409041,0.000007870955,0.00001504754,0.00002155495,0.00002870409],"domain_scores_gemma":[0.9999689,0.000003999348,0.000007220113,0.000004357071,0.000004104041,0.00001142777],"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":[0.0002730849,0.0002449837,0.0002062462,0.00006114071,0.00001526866,0.00009742912,0.0000166215,0.0002300334,0.9907986,0.0001500263,0.0001296654,0.007776918],"study_design_scores_gemma":[0.0001416842,0.005768246,0.0056366,0.00001246774,0.00006547721,0.0009658635,0.0000373164,0.002756152,0.9791871,0.00008934724,0.00533021,0.000009526347],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965637,0.001024811,0.0009116312,0.00005851844,0.00002785253,0.00004494657,0.00008556066,0.00008132078,0.001201626],"genre_scores_gemma":[0.9974498,0.0005918839,0.0007651297,0.00002301455,0.00001014912,0.0000216998,0.0001317191,0.00001248062,0.000994096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008482618,"threshold_uncertainty_score":0.002837718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009287203089561663,"score_gpt":0.2286472552873164,"score_spread":0.2193600521977547,"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."}}