{"id":"W3022594203","doi":"10.1016/j.ccell.2020.04.004","title":"Mutant EZH2 Induces a Pre-malignant Lymphoma Niche by Reprogramming the Immune Response","year":2020,"lang":"en","type":"article","venue":"Cancer Cell","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":160,"is_retracted":false,"has_abstract":false,"ca_institutions":"Spinal Cord Injury BC","funders":"Janssen Pharmaceuticals; National Institute of General Medical Sciences; National Institutes of Health; Leukemia and Lymphoma Society; Michael Smith Health Research BC; National Institute of Allergy and Infectious Diseases; Terry Fox Research Institute; Bristol-Myers Squibb; Bayer Corporation; National Cancer Institute; AbbVie; Pharmaceutical Research and Manufacturers of America Foundation; Damon Runyon Cancer Research Foundation; American Society of Hematology; Uehara Memorial Foundation; Chemotherapy Foundation","keywords":"Reprogramming; Niche; Immune system; Biology; Mutant; Lymphoma; EZH2; Cancer research; Immunology; Cell biology; Cell; Genetics; Methylation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001081135,0.0002593169,0.0002311165,0.0003147625,0.0001415257,0.0003700472,0.0002128859,0.0003161342,0.002184687],"category_scores_gemma":[0.0001133504,0.0001678248,0.0001736931,0.0001160689,0.0002473184,0.0002061762,0.0003055563,0.0008586064,0.00051754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003344472,"about_ca_system_score_gemma":0.0001608682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000317069,"about_ca_topic_score_gemma":0.0007217577,"domain_scores_codex":[0.9998177,0.00002415994,0.00001170944,0.00003153515,0.00004902085,0.00006604264],"domain_scores_gemma":[0.9998437,0.00002935842,0.00002806944,0.00002133627,0.000008009194,0.00006939028],"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":[0.0001622834,0.00003309088,0.0002285552,0.00000980597,0.00000470117,0.0001105345,0.000009062555,0.00004291715,0.9982517,0.0002764218,0.00005979005,0.000811054],"study_design_scores_gemma":[0.00003036817,0.0002162569,0.004806505,0.00000215847,0.00001184521,0.0005346767,0.00004971996,0.0008740997,0.9902492,0.0001576979,0.003063472,0.00000405313],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953334,0.0007412856,0.001554899,0.0001422651,0.00004325532,0.00001374552,0.0002089268,0.0001767697,0.001785448],"genre_scores_gemma":[0.9967247,0.0001161771,0.000379005,0.00004384511,0.000007429719,0.00001006467,0.0001392382,0.00002267652,0.002556849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002184687,"threshold_uncertainty_score":0.007308543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452332610476352,"score_gpt":0.2615278053602283,"score_spread":0.2470044792554648,"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."}}