{"id":"W4382941063","doi":"10.3390/cancers15133451","title":"Co-Targeting FASN and mTOR Suppresses Uveal Melanoma Growth","year":2023,"lang":"en","type":"article","venue":"Cancers","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Genentech; National Cancer Institute; National Institutes of Health; Thomas Jefferson University; National Institute of General Medical Sciences; Sanofi; Eisai; University of Pennsylvania; Melanoma Research Alliance","keywords":"Fatty acid synthase; PI3K/AKT/mTOR pathway; Cancer research; Sterol regulatory element-binding protein; Cell growth; Downregulation and upregulation; Lipid metabolism; Fatty acid synthesis; Melanoma; Chemistry; Biology; Cell biology; Signal transduction; Fatty acid; Biochemistry; Cholesterol; Sterol","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":[0.0001010423,0.0001177195,0.0001309073,0.00003777038,0.00008887829,0.00002324922,0.0001023054,0.0001214883,0.0000352585],"category_scores_gemma":[0.00006847035,0.0001162032,0.00004880372,0.00009188439,0.00008997854,0.000004219045,0.00004453902,0.00007957924,0.00001519166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004069739,"about_ca_system_score_gemma":0.0001998616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000220452,"about_ca_topic_score_gemma":0.00006834947,"domain_scores_codex":[0.9992179,0.00002321902,0.0001142104,0.0002882888,0.00008802177,0.0002683371],"domain_scores_gemma":[0.9996615,0.00001202561,0.00004051128,0.0001423187,0.00004312341,0.000100511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006103581,0.000002715103,0.004367786,0.00005269219,0.00004836825,4.862123e-7,0.0001891977,0.00004963949,0.4482212,0.0001114908,0.5444314,0.002463964],"study_design_scores_gemma":[0.0004767893,0.00006618379,0.003680426,0.00000880088,0.00001683549,0.000003884295,0.0003020005,0.00003408795,0.1013741,0.00003854623,0.893818,0.0001803564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863619,0.004687747,0.00005187164,0.0001911762,0.005133666,0.0001323073,0.0001120594,0.00005093987,0.003278365],"genre_scores_gemma":[0.9797388,0.005449798,0.0001093063,0.0004835893,0.01164924,0.00005079679,0.0002436661,0.00003497798,0.002239792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3493866,"threshold_uncertainty_score":0.4738628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009314410351195424,"score_gpt":0.2524530663686749,"score_spread":0.2431386560174795,"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."}}