{"id":"W2917800338","doi":"10.2147/dddt.s180836","title":"<p>siRNA-based breast cancer therapy by suppressing 17β-hydroxysteroid dehydrogenase type 1 in an optimized xenograft cell and molecular biology model in vivo</p>","year":2019,"lang":"en","type":"article","venue":"Drug Design Development and Therapy","topic":"Estrogen and related hormone effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Shanghai Institute Of Planned Parenthood Research; Shanghai Municipal Health and Family Planning Commission; Science and Technology Commission of Shanghai Municipality","keywords":"In vivo; Gene knockdown; Gene silencing; Estrone; Chemistry; Cancer research; Cell growth; Small interfering RNA; Breast cancer; Pharmacology; Cancer; Biology; Apoptosis; Medicine; Internal medicine; Biochemistry; Hormone; RNA; Gene","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":[0.0001991934,0.00037878,0.0003187857,0.000235528,0.0001420175,0.0001748592,0.0002734447,0.0003179653,0.000883454],"category_scores_gemma":[0.00006029789,0.000151877,0.0002827244,0.0001570087,0.0002384887,0.0002172234,0.0001055619,0.0004190677,0.0003731213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003270566,"about_ca_system_score_gemma":0.0004026662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001314121,"about_ca_topic_score_gemma":0.001819551,"domain_scores_codex":[0.999858,0.00001813476,0.00001310816,0.00003672505,0.00005100057,0.00002291758],"domain_scores_gemma":[0.999952,0.000006789913,0.00001506333,0.000006678342,0.000008896244,0.00001061936],"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":[0.00007123637,0.00004284975,0.00005512768,0.00005036133,0.000004004212,0.00003407758,0.00001275192,0.0001436312,0.9976815,0.0001376548,0.0001235509,0.001643095],"study_design_scores_gemma":[0.00001793078,0.0002910545,0.0003405214,0.000003012737,0.00001399774,0.000104947,0.00000638511,0.00116871,0.9953117,0.00001867347,0.002719367,0.000003694911],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9545875,0.002946385,0.03498989,0.0003996281,0.0001616851,0.000269373,0.0008776672,0.0006274008,0.005140456],"genre_scores_gemma":[0.9537367,0.002791319,0.03028313,0.0001388825,0.00002066557,0.0004104116,0.001165829,0.00008763846,0.01136542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001314121,"threshold_uncertainty_score":0.002955496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01032519956190205,"score_gpt":0.243286751801742,"score_spread":0.23296155223984,"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."}}