{"id":"W2797208961","doi":"10.1158/1541-7786.mcr-17-0784","title":"Exosomes Induce Fibroblast Differentiation into Cancer-Associated Fibroblasts through TGFβ Signaling","year":2018,"lang":"en","type":"article","venue":"Molecular Cancer Research","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":324,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Quebec - Clinical Research Organization in Cancer","funders":"Fonds de Recherche du Québec - Santé; Government of Canada; Canadian Urological Association; Ferring; Canadian Institutes of Health Research; Canadian Urological Oncology Group","keywords":"Microvesicles; Cancer-Associated Fibroblasts; Stromal cell; Cancer research; Exosome; Cancer cell; Cell biology; Bladder cancer; SMAD; Cancer; Transforming growth factor; Metastasis; Tumor microenvironment; Fibroblast; Chemistry; Biology; microRNA; Cell culture","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004895214,0.0002976181,0.0002347597,0.000135482,0.000433679,0.0001280197,0.000642409,0.0003212206,0.0002964108],"category_scores_gemma":[0.0003622853,0.0003129652,0.0001603936,0.0006193686,0.0004952065,0.0000225475,0.0005269494,0.0003954299,0.00005227022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002642347,"about_ca_system_score_gemma":0.0005011852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001219029,"about_ca_topic_score_gemma":0.0007406754,"domain_scores_codex":[0.9965062,0.0005231949,0.0003452274,0.0008779551,0.0008803165,0.0008671373],"domain_scores_gemma":[0.9981195,0.00003680011,0.000132119,0.0007176484,0.000766556,0.0002274073],"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":[0.0001817349,0.0001375604,0.001478001,0.00007258185,0.0001826888,0.00001900491,0.0003741603,0.0001874113,0.9914992,0.0001194162,0.00290678,0.002841435],"study_design_scores_gemma":[0.0007405143,0.0003891697,0.001109035,0.000235292,0.00002661519,0.000001711159,0.000108349,0.0002241901,0.9904785,0.001080002,0.005246236,0.0003604269],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904675,0.004999248,0.002653164,0.0005148493,0.0001991244,0.0004790437,0.00005459043,0.00004567415,0.0005867889],"genre_scores_gemma":[0.9967844,0.0003838619,0.0005287175,0.0002532342,0.0006458505,0.0003030231,0.0001779488,0.0001019219,0.0008209829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006316943,"threshold_uncertainty_score":0.9999322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03944720025024814,"score_gpt":0.3791884721646274,"score_spread":0.3397412719143793,"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."}}