{"id":"W4386324983","doi":"10.1038/s41591-023-02491-5","title":"Mechanisms of antigen escape from BCMA- or GPRC5D-targeted immunotherapies in multiple myeloma","year":2023,"lang":"en","type":"article","venue":"Nature Medicine","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":318,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research; University of Calgary","funders":"National Cancer Institute; Terry Fox Foundation; Glenmark Pharmaceuticals; University of Calgary; Comprehensive Cancer Center, City of Hope; Sylvester Comprehensive Cancer Center, University of Miami Health Systems; Celgene; Genentech; Deutsche Krebshilfe; Rising Tide Foundation; Pfizer; Amgen; Health Research Board; Multiple Myeloma Research Foundation","keywords":"Chimeric antigen receptor; Antigen; Cancer research; Multiple myeloma; Missense mutation; Immunology; Immunotherapy; Biology; Medicine; Mutation; Genetics; Gene; Immune system","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004493227,0.0002927485,0.0008200467,0.0007106347,0.00006451974,0.000005803116,0.0002266499,0.0004087228,0.001826041],"category_scores_gemma":[0.001464952,0.000181335,0.0001054342,0.00143412,0.0001748036,0.00007175074,0.00007663744,0.0007432351,0.0001268434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009163521,"about_ca_system_score_gemma":0.0001458891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009069367,"about_ca_topic_score_gemma":0.0003735531,"domain_scores_codex":[0.9974644,0.0001047589,0.0005181276,0.0004452272,0.0009260125,0.0005414294],"domain_scores_gemma":[0.9983456,0.0006024348,0.0001262121,0.000532741,0.0001758359,0.0002171508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005465912,0.0005174924,0.1449366,0.0002396915,0.0009320714,0.002423223,0.002275832,0.000005485298,0.7960194,0.0002527258,0.005273002,0.04165855],"study_design_scores_gemma":[0.01706718,0.001055177,0.8691146,0.0008539617,0.00007185581,0.00002338614,0.001111339,0.001617674,0.1044542,0.0009967677,0.003433769,0.0002000695],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989061,0.004651282,0.0001156027,0.004096978,0.0004144274,0.0008981479,0.00009867289,0.0001812288,0.0004826704],"genre_scores_gemma":[0.994606,0.001081717,0.001625085,0.0004497305,0.0001918581,0.00005153594,0.0007131754,0.00005435842,0.001226534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7241781,"threshold_uncertainty_score":0.9990864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02830774918335869,"score_gpt":0.324962472355331,"score_spread":0.2966547231719723,"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."}}