{"id":"W2042049257","doi":"10.1002/ijc.25295","title":"Differential interactions between statins and P‐glycoprotein: Implications for exploiting statins as anticancer agents","year":2010,"lang":"en","type":"article","venue":"International Journal of Cancer","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Toronto; Ontario Institute for Cancer Research","funders":"Canadian Institutes of Health Research; Ontario Institute for Cancer Research; University of Pennsylvania","keywords":"Rosuvastatin; Atorvastatin; Lovastatin; Fluvastatin; Doxorubicin; P-glycoprotein; Pharmacology; Statin; Efflux; Apoptosis; HMG-CoA reductase; Pravastatin; Cancer research; Chemotherapy; Multiple drug resistance; Chemistry; Medicine; Cholesterol; Simvastatin; Biochemistry; Internal medicine; Reductase; Enzyme","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":[0.0008149077,0.0003933503,0.0008051033,0.0002786222,0.0002612593,0.001017474,0.0003347653,0.0009063312,0.0006233093],"category_scores_gemma":[0.0008542598,0.000265226,0.0004729475,0.0003252308,0.0004981271,0.001258208,0.0004443988,0.0007737915,0.0002545218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005539738,"about_ca_system_score_gemma":0.0003972297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006897785,"about_ca_topic_score_gemma":0.0009805639,"domain_scores_codex":[0.9990465,0.0004458622,0.00007599662,0.00009391492,0.000203234,0.00013452],"domain_scores_gemma":[0.9996803,0.0001328671,0.00007039164,0.00002758667,0.0000490936,0.00003970314],"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":[0.0004139979,0.00008044872,0.004610893,0.0002248629,0.00005724255,0.0005012065,0.00006777293,0.0003869922,0.9788776,0.001260879,0.0001480291,0.01337003],"study_design_scores_gemma":[0.00007076446,0.001950873,0.0317723,0.00006265737,0.0002539432,0.002726876,0.0003628107,0.006405535,0.9353408,0.00241028,0.01859934,0.00004378463],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.909609,0.06531464,0.01626274,0.004344181,0.0001717486,0.0001201213,0.0001598446,0.00008607561,0.003931549],"genre_scores_gemma":[0.9712116,0.02105241,0.005759621,0.0005540513,0.000125829,0.00004134397,0.0001142066,0.00001498405,0.001125964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001017474,"threshold_uncertainty_score":0.004309714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02227088266070032,"score_gpt":0.3771731077155698,"score_spread":0.3549022250548695,"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."}}