{"id":"W4412541899","doi":"10.1002/adhm.202502019","title":"Suppressing t(4;11) Acute Leukemia by Lipopolymer Nanoparticle Delivery of siRNA Targeting <i>KMT2A::AFF1</i> with Enhanced Extrahepatic Delivery","year":2025,"lang":"en","type":"article","venue":"Advanced Healthcare Materials","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Terry Fox Research Institute; University of Alberta","funders":"Canadian Institutes of Health Research; Edmonton Civic Employees Charitable Assistance Fund; Canadian Cancer Society; Mitacs; Alex's Lemonade Stand Foundation for Childhood Cancer","keywords":"Gene silencing; Biodistribution; Polyethylenimine; Leukemia; Apoptosis; In vivo; Peripheral blood mononuclear cell; Cancer research; Bone marrow; Chemistry; Small interfering RNA; In vitro; Molecular biology; Medicine; Immunology; Transfection; Biology; Biochemistry","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":[0.0001486514,0.0004763558,0.0002309691,0.000168431,0.00008532982,0.0002823026,0.0001641055,0.000280207,0.0005525927],"category_scores_gemma":[0.0001129594,0.0001320337,0.0002071593,0.0001187326,0.0002015219,0.000203198,0.0002284289,0.0002500618,0.0003047115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003725041,"about_ca_system_score_gemma":0.0001912503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000448194,"about_ca_topic_score_gemma":0.0004935855,"domain_scores_codex":[0.9999081,0.00001910423,0.00001195272,0.00002298974,0.00001960036,0.00001835339],"domain_scores_gemma":[0.9999579,0.000006307764,0.00001976163,0.000004494095,0.000005404808,0.000006071876],"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":[0.0000364864,0.000008934149,0.00007105018,0.00002284297,0.000002661107,0.00002560547,0.000005271455,0.0001087591,0.9982962,0.00004688773,0.00002232721,0.001353029],"study_design_scores_gemma":[0.000008034594,0.0001148962,0.000317046,0.000001589107,0.000009902164,0.0001037753,0.000003368097,0.0007761418,0.9976857,0.00001207136,0.0009650677,0.000002423725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829811,0.001004958,0.01346237,0.00009148437,0.00001538782,0.0000697804,0.0001413615,0.0002376022,0.001996015],"genre_scores_gemma":[0.9864783,0.0006542274,0.01032021,0.00004006433,0.000007381953,0.00006978,0.0001861989,0.0000376188,0.002206248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005525927,"threshold_uncertainty_score":0.002702713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004783247109285742,"score_gpt":0.2527689936604774,"score_spread":0.2479857465511917,"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."}}