{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004145002,0.0001817481,0.000244356,0.0006022732,0.0002205245,0.000514514,0.000188829,0.0003003857,0.001082757],"category_scores_gemma":[0.001099295,0.0001203252,0.0002617969,0.0004891784,0.0002501312,0.000236931,0.0004225792,0.0003349284,0.0001735978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001934886,"about_ca_system_score_gemma":0.0001300626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001024929,"about_ca_topic_score_gemma":0.001107216,"domain_scores_codex":[0.9997532,0.00005025626,0.00002272645,0.00008589698,0.00003874857,0.00004912926],"domain_scores_gemma":[0.9992213,0.0002142872,0.0002724341,0.00008175784,0.0000609235,0.000149379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006274292,0.00001763232,0.9912847,0.000006300894,0.00005751522,0.00008009909,0.00003212514,0.0001730314,0.004131859,0.00002181028,0.00004825609,0.003519188],"study_design_scores_gemma":[0.000009588734,0.00007825071,0.9983225,0.000001661897,0.00004239197,0.000345541,0.00006342358,0.0005677885,0.0004376197,0.00005645402,0.00007230723,0.000002326454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995578,0.00008872623,0.0001030387,0.000007550552,6.582716e-7,0.00000247589,0.0000827904,0.000003694255,0.0001531699],"genre_scores_gemma":[0.9997033,0.00002216368,0.00005105195,0.000004763298,0.000002553652,0.00000233025,0.000163505,0.000002078692,0.00004821508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001082757,"threshold_uncertainty_score":0.003622174,"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."}}