{"id":"W2891587993","doi":"10.1016/j.cmet.2018.09.001","title":"Translational and HIF-1α-Dependent Metabolic Reprogramming Underpin Metabolic Plasticity and Responses to Kinase Inhibitors and Biguanides","year":2018,"lang":"en","type":"article","venue":"Cell Metabolism","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":89,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Montreal General Hospital; University of Toronto; Université de Montréal; McGill University Health Centre; McGill University","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Cancer Institute; National Institutes of Health; Terry Fox Research Institute; Ministry of Education, Culture, Sports, Science and Technology; Fondation du cancer du sein du Québec; Canada Foundation for Innovation; Terry Fox Foundation; McGill University","keywords":"mTORC1; Glutamine; Biguanide; Cancer cell; Glutaminolysis; Asparagine; Biology; Serine; Cancer; Biochemistry; Cancer research; PI3K/AKT/mTOR pathway; Amino acid; Signal transduction; Enzyme; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001540186,0.0002207593,0.0003272125,0.0001794746,0.0002230479,0.0005825399,0.0002556964,0.0002508945,0.002240667],"category_scores_gemma":[0.0001965135,0.0001684454,0.000246467,0.0001956033,0.0002606326,0.0004419787,0.0002973452,0.0005294805,0.0003822588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004391636,"about_ca_system_score_gemma":0.0002852554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006953717,"about_ca_topic_score_gemma":0.001635375,"domain_scores_codex":[0.999894,0.00001283224,0.000007036067,0.00002658387,0.00002062536,0.00003894714],"domain_scores_gemma":[0.999908,0.00001213156,0.00002792745,0.00001057312,0.00001511312,0.00002627089],"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":[0.001369946,0.0000697445,0.0006019879,0.00007353011,0.00001707209,0.00007374325,0.00002262602,0.000298877,0.98684,0.001223414,0.0003146782,0.00909449],"study_design_scores_gemma":[0.00007304169,0.000414369,0.02208346,0.00001579017,0.00004251032,0.0001936139,0.00009774097,0.002710713,0.9668503,0.001286627,0.006212702,0.00001903278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819244,0.005798883,0.004011867,0.0008282513,0.0001341834,0.00004368504,0.0007608395,0.0002469697,0.00625108],"genre_scores_gemma":[0.9947067,0.001987058,0.0007067555,0.00009635207,0.00002524254,0.00002171826,0.0003377175,0.00002755086,0.002091018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002240667,"threshold_uncertainty_score":0.007495761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01291705546933369,"score_gpt":0.2535669501871166,"score_spread":0.2406498947177829,"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."}}