{"id":"W7117109102","doi":"10.1016/j.canlet.2025.218235","title":"Anti-BCMA-CAR-IL15 natural killer cells prevent multiple myeloma growth in the bone marrow but allow subsequent emergence of extramedullary disease","year":2025,"lang":"en","type":"article","venue":"Cancer Letters","topic":"Immune Cell Function and Interaction","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Juravinski Cancer Centre; National Research Council Canada; Institute of Infection and Immunity; University of Ottawa","funders":"National Research Council Canada; National Research Foundation of Korea; Canadian Institutes of Health Research; International Myeloma Society; Cancer Research Society","keywords":"Chimeric antigen receptor; Multiple myeloma; Bone marrow; Immunotherapy; Cell therapy; Antigen; Disease; Clinical trial","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":[0.0001157173,0.000251039,0.000286543,0.0001343761,0.00009225445,0.0002510848,0.0002062049,0.0002043465,0.001170929],"category_scores_gemma":[0.00007001003,0.00007496766,0.0001898805,0.00007927475,0.0001852468,0.0001861026,0.0001615367,0.0008277833,0.0003126081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002182275,"about_ca_system_score_gemma":0.0002854303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005097098,"about_ca_topic_score_gemma":0.0008463871,"domain_scores_codex":[0.9998317,0.00001941784,0.00001758759,0.00004068367,0.00005292587,0.00003767418],"domain_scores_gemma":[0.99994,0.00000997501,0.00001596391,0.00001093789,0.00000723095,0.00001577521],"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":[0.0001248297,0.00006882875,0.0001883193,0.00003357723,0.000005072082,0.00002498786,0.00001793366,0.000114426,0.9955772,0.0001911089,0.00004150808,0.003612067],"study_design_scores_gemma":[0.00002725865,0.0004417697,0.001307237,0.000003507898,0.00001289751,0.0001714116,0.00001189219,0.0007307735,0.9947477,0.00003365917,0.002510369,0.000001482569],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915783,0.001838754,0.004635754,0.00009474762,0.00003966454,0.00005438885,0.000189904,0.0001378154,0.001430665],"genre_scores_gemma":[0.9949862,0.0004300986,0.001843459,0.00003623291,0.000005358987,0.000033535,0.0002070093,0.000009478947,0.002448795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001170929,"threshold_uncertainty_score":0.003917158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008091467588655964,"score_gpt":0.2312225202726091,"score_spread":0.2231310526839532,"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."}}