{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002028661,0.0001529764,0.0002000018,0.00004565929,0.00007336024,0.00003432663,0.00007016199,0.0001232532,0.00003451638],"category_scores_gemma":[0.0001857648,0.0001633881,0.00004591887,0.0001499867,0.00002476908,0.000006442523,0.0001851486,0.00004578018,0.000007839723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002805045,"about_ca_system_score_gemma":0.00009865195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001136186,"about_ca_topic_score_gemma":0.0002473639,"domain_scores_codex":[0.9988478,0.00008695803,0.0002580012,0.0004283703,0.0001198457,0.0002589971],"domain_scores_gemma":[0.9994938,0.0000182331,0.00006250775,0.0002411071,0.00007127802,0.0001130258],"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":[0.0001482549,0.00005106721,0.001321095,0.00003372674,0.00001798668,0.0001691517,0.00009899437,0.00002505591,0.9967802,0.0001380095,0.000741122,0.0004753352],"study_design_scores_gemma":[0.0009993811,0.000163094,0.001154064,0.00006423662,0.000009681192,0.00002414663,0.0001357586,0.00002420641,0.9889839,0.000191066,0.008030037,0.0002203802],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960589,0.001870149,0.0005882201,0.0004580033,0.0001343561,0.000151962,0.00003818416,0.00001364508,0.0006865379],"genre_scores_gemma":[0.9950943,0.0001257749,0.003177109,0.0005483218,0.0001752719,0.00002177754,0.000225553,0.00002368539,0.0006082048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007796254,"threshold_uncertainty_score":0.6662774,"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."}}