{"id":"W4379645119","doi":"10.1136/jitc-2023-006802","title":"Early decrease of blood myeloid-derived suppressor cells during checkpoint inhibition is a favorable biomarker in metastatic melanoma","year":2023,"lang":"en","type":"article","venue":"Journal for ImmunoTherapy of Cancer","topic":"Immune cells in cancer","field":"Immunology and Microbiology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences North","funders":"Medizinischen Fakultät, Eberhard Karls Universität Tübingen; Klaus Tschira Stiftung; Eberhard Karls Universität Tübingen; Merck Sharp and Dohme; Bristol-Myers Squibb","keywords":"Medicine; Melanoma; Biomarker; Oncology; Myeloid-derived Suppressor Cell; Immune checkpoint; Immune system; Flow cytometry; Myeloid; Internal medicine; Cancer; Immunotherapy; Cohort; Immunology; Cancer research; Suppressor; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006913529,0.0002571546,0.0006513937,0.000517927,0.0001535088,0.00002094201,0.0002745086,0.0001806281,0.001847281],"category_scores_gemma":[0.0000441841,0.0002342816,0.0003732656,0.0004459591,0.0002165084,0.0002138248,0.00004846629,0.0003333019,0.00002164365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001141843,"about_ca_system_score_gemma":0.0002857497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006936369,"about_ca_topic_score_gemma":0.00003942548,"domain_scores_codex":[0.9978924,0.0001733373,0.001038418,0.0002553506,0.0001149928,0.0005255322],"domain_scores_gemma":[0.9984803,0.000180109,0.0007647514,0.000304028,0.000237531,0.00003334826],"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":[0.00271259,0.0002060284,0.0006904461,0.0002042487,0.001255342,0.00001205068,0.002381406,0.00007964456,0.9892871,0.00000872395,0.0007433248,0.002419127],"study_design_scores_gemma":[0.01010021,0.0003314152,0.01934781,0.0004391561,0.0001443379,0.00004803416,0.00033094,0.00001036946,0.9658812,0.0003264473,0.002809224,0.0002308034],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771478,0.02051405,0.00004734107,0.0002426131,0.00125281,0.0005214143,0.0001949743,0.00002505186,0.00005398169],"genre_scores_gemma":[0.9910722,0.006109596,0.000292681,0.0000911874,0.00002597261,0.0001376946,0.00001959586,0.0000654597,0.002185628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02340582,"threshold_uncertainty_score":0.9990652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01955512069351003,"score_gpt":0.2874628456149711,"score_spread":0.2679077249214611,"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."}}