{"id":"W4387615533","doi":"10.1186/s12935-023-03087-2","title":"EGCG inhibits the inflammation and senescence inducing properties of MDA-MB-231 triple-negative breast cancer (TNBC) cells-derived extracellular vesicles in human adipose-derived mesenchymal stem cells","year":2023,"lang":"en","type":"article","venue":"Cancer Cell International","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research; Université du Québec à Montréal","keywords":"Mesenchymal stem cell; Triple-negative breast cancer; Extracellular vesicles; Inflammation; Adipose tissue; Cancer research; Microvesicles; Extracellular; Breast cancer; Cell biology; Cancer; Senescence; Medicine; Biology; Chemistry; Immunology; microRNA; Biochemistry; Internal medicine; Gene","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":[0.0001062719,0.0003221962,0.0003342783,0.0002215699,0.0001138291,0.0002466777,0.0001105452,0.0002254185,0.0006472946],"category_scores_gemma":[0.00008005479,0.00008435693,0.0004146295,0.0001391546,0.0001212235,0.0001183386,0.0001512563,0.0003514939,0.0001801594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002157679,"about_ca_system_score_gemma":0.0001944956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001037299,"about_ca_topic_score_gemma":0.001714948,"domain_scores_codex":[0.9998968,0.00001502033,0.00001271563,0.00001708345,0.00002527363,0.00003314358],"domain_scores_gemma":[0.9999706,0.000004048961,0.000007716137,0.000004197299,0.000006128009,0.000007415768],"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":[0.000371074,0.00007412888,0.0001443264,0.00009430873,0.00001600586,0.00003601865,0.00002306432,0.00007387673,0.9967546,0.00003083475,0.00009486855,0.002286871],"study_design_scores_gemma":[0.00003522625,0.0006575427,0.005105699,0.0000149375,0.00006205318,0.0001396142,0.0000363467,0.0005261519,0.9899754,0.00002643333,0.003415502,0.000005137381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933889,0.003898535,0.0009493044,0.0001275522,0.00006277412,0.00003224796,0.0005078472,0.00008682555,0.0009459692],"genre_scores_gemma":[0.9942028,0.001776937,0.001053764,0.00008415275,0.00001223636,0.00004513708,0.0007378185,0.00001789514,0.00206921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001037299,"threshold_uncertainty_score":0.002165437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01890160860425711,"score_gpt":0.2533692099844873,"score_spread":0.2344676013802302,"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."}}