{"id":"W2742024316","doi":"10.1158/1538-7445.am2017-4510","title":"Abstract 4510: ADP- dependent glucokinase controls hypoxic gradients, <i>ex vivo</i> avascular and <i>in vivo</i> tumor growth through modulation of HIF-1α/mTOR signaling","year":2017,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Gene knockdown; Biology; Ex vivo; HIF1A; Transactivation; Tumor progression; Cancer research; Glucokinase; In vivo; Tumor microenvironment; PI3K/AKT/mTOR pathway; Cancer cell; Cell biology; Molecular biology; Transcription factor; Cancer; Signal transduction; Gene; Angiogenesis; 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":[0.00009052754,0.0002547615,0.0002116237,0.00009447559,0.0001632753,0.0004056513,0.0001595371,0.0001901638,0.003559572],"category_scores_gemma":[0.00008381881,0.0001178767,0.0001479688,0.0001823951,0.0003010317,0.0001738794,0.0001846521,0.0004487105,0.0006963242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004525274,"about_ca_system_score_gemma":0.0002474279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008452688,"about_ca_topic_score_gemma":0.001172733,"domain_scores_codex":[0.9998853,0.00001174037,0.00001007526,0.00003887514,0.00002558748,0.00002833337],"domain_scores_gemma":[0.9999262,0.000007860819,0.00002525438,0.000007070809,0.000006821943,0.00002676442],"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":[0.0002177999,0.00001729302,0.0001423303,0.00003701891,0.000002558844,0.00001525934,0.000008259987,0.00003798203,0.9983847,0.00009198602,0.000169338,0.000875561],"study_design_scores_gemma":[0.00002495062,0.000154279,0.003923536,0.000006067478,0.000007740113,0.0000751949,0.00002232602,0.0006253565,0.9909642,0.00006247882,0.004129529,0.00000436757],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821172,0.001759471,0.007167702,0.000398994,0.0001223448,0.00004222526,0.004082724,0.0003733978,0.003935962],"genre_scores_gemma":[0.9880425,0.0006296496,0.002747245,0.0001769847,0.00001889629,0.00005400803,0.002585413,0.000135735,0.005609636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003559572,"threshold_uncertainty_score":0.01190794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03281665431241768,"score_gpt":0.3293825538354255,"score_spread":0.2965658995230078,"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."}}