{"id":"W4412654295","doi":"10.1007/s00018-025-05781-y","title":"Fibroblasts activated by miRs-185-5p, miR-652-5p, and miR-1246 shape the tumor microenvironment in triple-negative breast cancer via PATZ1 downregulation","year":2025,"lang":"en","type":"article","venue":"Cellular and Molecular Life Sciences","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"Ministero dell'Università e della Ricerca; Consiglio Nazionale delle Ricerche; Ministero dell’Istruzione, dell’Università e della Ricerca; European Commission","keywords":"Downregulation and upregulation; Biology; Tumor microenvironment; Cell biology; Microvesicles; Cancer research; microRNA; Fibroblast; Triple-negative breast cancer; Cancer cell; Extracellular matrix; Cancer; Breast cancer; In vitro; Gene; Biochemistry; Genetics; Tumor cells","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":[0.00008010557,0.0002202619,0.0001670837,0.000145559,0.0001345901,0.0002876535,0.00008078694,0.000161348,0.0007027404],"category_scores_gemma":[0.00007412054,0.000129134,0.0002365419,0.0000940741,0.0001272285,0.0001073823,0.0001628586,0.0003407154,0.0002798303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001461463,"about_ca_system_score_gemma":0.0001279532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003963017,"about_ca_topic_score_gemma":0.0006834402,"domain_scores_codex":[0.9998989,0.000009421507,0.000008821638,0.0000227742,0.00004219608,0.00001787615],"domain_scores_gemma":[0.9999609,0.000006589847,0.00001414801,0.000003182912,0.000004376926,0.0000107264],"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":[0.00004106817,0.000005439017,0.0001994039,0.00001516281,0.000002612203,0.00004775144,0.0000108293,0.00003031193,0.9991209,0.00002165243,0.0000193903,0.0004854173],"study_design_scores_gemma":[0.000006167488,0.00006464881,0.004393097,0.00000272399,0.00001230635,0.0003161834,0.00003753079,0.0008142638,0.9927033,0.00002465923,0.001621248,0.000003861267],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957254,0.001024431,0.001709345,0.00005097496,0.00002203233,0.00001789695,0.0003174952,0.00005293489,0.001079495],"genre_scores_gemma":[0.9956976,0.0005253473,0.001749138,0.00004546114,0.000004437287,0.00002368546,0.0003602559,0.00001207813,0.001582154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007027404,"threshold_uncertainty_score":0.002350867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004247705249610423,"score_gpt":0.2278563517360578,"score_spread":0.2236086464864474,"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."}}