{"id":"W4408990065","doi":"10.1038/s41375-025-02563-0","title":"Discrete genetic subtypes and tumor microenvironment signatures correlate with peripheral T-cell lymphoma outcomes","year":2025,"lang":"en","type":"article","venue":"Leukemia","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Spinal Cord Injury BC","funders":"Moonshot Research and Development Program; Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology; Japan Agency for Medical Research and Development; Gilead Sciences; Kobayashi Foundation for Cancer Research; Japan Science and Technology Agency; Leukemia and Lymphoma Society","keywords":"Tumor microenvironment; Biology; Lymphoma; Chromosome instability; Follicular lymphoma; Exome sequencing; Genome instability; Immune system; Exome; Cancer research; Peripheral T-cell lymphoma; T cell; Immunology; Oncology; Medicine; Chromosome; Gene; Mutation; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.00002571357,0.0002280917,0.0003141,0.00005350998,0.00008887288,0.00003332019,0.00005635068,0.00006460485,0.0000548293],"category_scores_gemma":[0.000005898751,0.0001450553,0.00006794795,0.00007149982,0.0001078954,0.00003007579,0.00005270501,0.00006447063,0.00002054089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006038056,"about_ca_system_score_gemma":0.000172224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001859489,"about_ca_topic_score_gemma":0.00002842774,"domain_scores_codex":[0.9990829,0.00001998413,0.0001666804,0.0003378694,0.0001504723,0.0002420727],"domain_scores_gemma":[0.9995078,0.00004993768,0.00005059716,0.0002711595,0.00001218543,0.000108357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003144527,0.0002713453,0.9878594,0.0001110883,0.0002703286,0.0005812137,0.0001874493,0.0001014488,0.001869735,0.0001105241,0.001401286,0.006921715],"study_design_scores_gemma":[0.007443362,0.0003081542,0.9806606,0.0001261552,0.0003497952,0.0000600829,0.00007784874,0.0002293771,0.005188786,0.00003839202,0.005363407,0.0001540362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913387,0.004516895,0.00003656983,0.0006357731,0.00008685528,0.0003624004,0.00000873652,0.00003969508,0.002974361],"genre_scores_gemma":[0.9904584,0.0002607591,0.001277238,0.001673041,0.0000224561,0.00006110378,0.00001529778,0.00001986539,0.006211871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00719881,"threshold_uncertainty_score":0.5915183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003155162568191225,"score_gpt":0.207959864390473,"score_spread":0.2048047018222818,"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."}}