{"id":"W4385999452","doi":"10.1038/s41375-023-02006-8","title":"Exploiting the fibroblast growth factor receptor-1 vulnerability to therapeutically restrict the MYC-EZH2-CDKN1C axis-driven proliferation in Mantle cell lymphoma","year":2023,"lang":"en","type":"article","venue":"Leukemia","topic":"Fibroblast Growth Factor Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Spinal Cord Injury BC; Simon Fraser University","funders":"Janssen Pharmaceuticals; National Center for Advancing Translational Sciences; U.S. Department of Health and Human Services; National Cancer Institute; National Institutes of Health; Department of Biotechnology, Ministry of Science and Technology, India; Ohio State University","keywords":"Mantle cell lymphoma; Cancer research; Fibroblast growth factor receptor 1; In vivo; Biology; Lymphoma; Cell growth; Cell cycle checkpoint; Cell cycle; Medicine; Fibroblast growth factor; Immunology; Cancer; Receptor; Internal medicine","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":[0.0001290226,0.0002165699,0.0001599327,0.000163743,0.0001330965,0.000228816,0.0001051564,0.0001559855,0.0008139671],"category_scores_gemma":[0.00007791552,0.00006779009,0.0001242921,0.00009706865,0.0001433732,0.000101385,0.0001205847,0.0003592304,0.0001404061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002883479,"about_ca_system_score_gemma":0.0001743313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004917854,"about_ca_topic_score_gemma":0.001782131,"domain_scores_codex":[0.999934,0.000009201509,0.000003447638,0.00001323619,0.0000200398,0.00002016831],"domain_scores_gemma":[0.9999787,0.000004522474,0.000006446044,0.000002319295,0.000001980157,0.000005991094],"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":[0.0001032814,0.00003344141,0.0003834017,0.00002430802,0.000006269234,0.00004278079,0.000007463426,0.0001804348,0.9956951,0.0001100634,0.0000688587,0.003344588],"study_design_scores_gemma":[0.00005164884,0.0006907738,0.00827607,0.00000618482,0.0000337284,0.0006740086,0.00004063106,0.002803099,0.9820972,0.0001434983,0.005175584,0.000007484447],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939523,0.001456465,0.002842244,0.0001552525,0.00001480842,0.00003311627,0.00031729,0.00007168111,0.001156761],"genre_scores_gemma":[0.9977109,0.0004313386,0.000949934,0.0000383525,0.000003492689,0.0000170751,0.0001631228,0.000006022942,0.0006797981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008139671,"threshold_uncertainty_score":0.002722979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0239461135196629,"score_gpt":0.279543061903347,"score_spread":0.2555969483836841,"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."}}