{"id":"W4412727668","doi":"10.1016/j.jprot.2025.105507","title":"Proteomics analysis reveal early event molecular effectors of anti-CD19 CAR-T cell therapy in hematological cancer","year":2025,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo; International Union of Biochemistry and Molecular Biology; Royal Society of Chemistry; Biochemical Society; European Association for Cancer Research","keywords":"Jurkat cells; Chimeric antigen receptor; CD28; CD19; Biology; T cell; Cancer immunotherapy; Cell biology; Immunotherapy; Antigen; Immunology; Immune system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001357537,0.0002300011,0.001242785,0.001024293,0.00003119523,0.00002486655,0.0003250716,0.0002415397,0.0001912908],"category_scores_gemma":[0.0001581628,0.0001735399,0.0006907581,0.001551009,0.000114699,0.00007158054,0.00006918449,0.0008902781,0.000001103645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003895508,"about_ca_system_score_gemma":0.0006679049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002926434,"about_ca_topic_score_gemma":0.00001937688,"domain_scores_codex":[0.997372,0.0003035233,0.001053229,0.0002542016,0.0006519135,0.0003651446],"domain_scores_gemma":[0.9983059,0.0001163435,0.0005676789,0.0003761318,0.0004809586,0.0001530567],"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":[0.001620754,0.0004296896,0.2383667,0.0001742485,0.0008410689,0.000186804,0.0001948823,0.001051457,0.7562485,0.00002467816,0.00003676548,0.0008244034],"study_design_scores_gemma":[0.004475792,0.001144956,0.08156081,0.000352872,0.0003913723,0.00003548622,0.00005746355,0.0005650499,0.9110416,0.0001655166,0.00006416073,0.0001448725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992125,0.00113931,0.004049159,0.0007652879,0.0001157939,0.001659817,0.000007478177,0.000007730922,0.0001303883],"genre_scores_gemma":[0.9907661,0.0009290953,0.007579811,0.0001304739,0.00007212525,0.00005924412,0.000002162501,0.00002527985,0.0004356901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1568059,"threshold_uncertainty_score":0.7076753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01594154186959081,"score_gpt":0.3349791735705588,"score_spread":0.319037631700968,"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."}}