{"id":"W4296131277","doi":"10.1158/1557-3265.sarcomas22-b014","title":"Abstract B014: Metabolic reprogramming in high-grade sarcomas: repurposing anti-cholesterol agents as a novel therapeutic strategy","year":2022,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Ontario Institute for Cancer Research; Mount Sinai Hospital; SickKids Foundation; Lunenfeld-Tanenbaum Research Institute","funders":"","keywords":"Simvastatin; PI3K/AKT/mTOR pathway; Mevalonate pathway; Pharmacology; Cancer research; Doxorubicin; In vivo; Protein kinase B; Cell growth; Statin; Medicine; Biology; Chemotherapy; Signal transduction; Internal medicine; Cell biology; Enzyme; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002196721,0.000468596,0.0003787988,0.0004901644,0.0001817354,0.0004811441,0.0003450387,0.0004897299,0.004378672],"category_scores_gemma":[0.0001047023,0.0001218359,0.0003785174,0.0003143109,0.0002283042,0.0002533234,0.0002397824,0.0007523256,0.001120243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003199555,"about_ca_system_score_gemma":0.0004294051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004713048,"about_ca_topic_score_gemma":0.001056398,"domain_scores_codex":[0.9999273,0.00001436498,0.000008332102,0.000009978146,0.0000215995,0.00001842666],"domain_scores_gemma":[0.9999442,0.000007081862,0.00001128174,0.000005840389,0.00001270411,0.00001874876],"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":[0.001278413,0.0005437257,0.001438785,0.0005249095,0.00004585379,0.0003566163,0.00003314826,0.0004095181,0.9335824,0.0009689425,0.00159569,0.05922195],"study_design_scores_gemma":[0.0006865353,0.007325198,0.0114024,0.0001232899,0.0002118064,0.002258558,0.00008964668,0.001697512,0.9294849,0.000591827,0.04610074,0.00002751238],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9182052,0.04681315,0.009683747,0.003084852,0.0004575238,0.0006198105,0.001627682,0.0004399661,0.01906797],"genre_scores_gemma":[0.9505373,0.02268434,0.009859459,0.0006887809,0.0001799224,0.0002062937,0.001972063,0.00004052636,0.0138312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004378672,"threshold_uncertainty_score":0.01464814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1915888944670585,"score_gpt":0.4837099869144768,"score_spread":0.2921210924474182,"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."}}