{"id":"W2946604950","doi":"10.3324/haematol.2018.212266","title":"Sialyltransferase inhibition leads to inhibition of tumor cell interactions with E-selectin, VCAM1, and MADCAM1, and improves survival in a human multiple myeloma mouse model","year":2019,"lang":"en","type":"article","venue":"Haematologica","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institutes of Health; National Institute of Arthritis and Musculoskeletal and Skin Diseases; University of Galway; Health Research Board; Massachusetts General Hospital; National Institute of General Medical Sciences; Maine Medical Center Research Institute; American Cancer Society","keywords":"Bortezomib; Sialyltransferase; Multiple myeloma; In vivo; Proteasome inhibitor; Cancer research; Stromal cell; Plasma cell; Tumor microenvironment; Bone marrow; Chemistry; Immunology; Medicine; Immune system; Pharmacology; Biology; Sialic acid; Biochemistry","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":[0.00009755731,0.0005177591,0.0003649,0.0002461566,0.0001133016,0.0002086944,0.0002228745,0.0002731236,0.0008677966],"category_scores_gemma":[0.00005114506,0.0001303624,0.0002889319,0.0001697655,0.0001441095,0.0001467571,0.0001156366,0.000710729,0.0001864143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002403592,"about_ca_system_score_gemma":0.000183152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001126742,"about_ca_topic_score_gemma":0.001607297,"domain_scores_codex":[0.9998932,0.0000126385,0.00001101132,0.00002163295,0.00002934036,0.00003219751],"domain_scores_gemma":[0.9999455,0.000004873574,0.00001758882,0.000006882161,0.000004066668,0.00002099026],"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":[0.0003025579,0.00007873035,0.0001435155,0.00002218661,0.00001248088,0.00003272665,0.000009039863,0.0001062821,0.9975485,0.00005401128,0.00006450072,0.001625523],"study_design_scores_gemma":[0.0000475243,0.001705921,0.003718348,0.000004734825,0.00004124123,0.000206336,0.0000138518,0.0009799781,0.9912865,0.00004077335,0.001949904,0.000004881572],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964753,0.001352304,0.0008824888,0.00009245563,0.00002411244,0.0000177232,0.0003021926,0.00008690912,0.0007665653],"genre_scores_gemma":[0.9945138,0.001149728,0.0009883617,0.00006400129,0.000009316755,0.00002801246,0.0005465711,0.00001493832,0.002685287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001126742,"threshold_uncertainty_score":0.002903044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0123381065281501,"score_gpt":0.2562540247122043,"score_spread":0.2439159181840542,"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."}}