{"id":"W4394988958","doi":"10.1101/2024.04.16.589460","title":"A FOXA1/SPDEF Co-regulatory Axis Drives ERBB2 and Suppresses TEAD/YAP-Driven EMT to Maintain Luminal Identity in HER2+ Breast Cancer","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"FOXO transcription factor regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"Institute for Information and Communications Technology Promotion; National Institutes of Health; Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation","keywords":"FOXA1; Breast cancer; Expression (computer science); Cancer research; Internal medicine; Oncology; Cancer; Biology; Medicine; Computer science","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":[0.0001263449,0.0001815031,0.0001550196,0.0002066968,0.0001198079,0.0002538305,0.0001459453,0.0001151077,0.001122043],"category_scores_gemma":[0.00006071599,0.0001083015,0.000164052,0.00008600967,0.0002049823,0.0001136405,0.0002710006,0.0003323884,0.0002617832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003433517,"about_ca_system_score_gemma":0.000176403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003327968,"about_ca_topic_score_gemma":0.0007904307,"domain_scores_codex":[0.9999104,0.0000098223,0.000004200767,0.00002771856,0.00002664728,0.0000212272],"domain_scores_gemma":[0.9999468,0.000005655199,0.00001753337,0.000007040722,0.000005137742,0.00001776435],"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":[0.00003628945,0.000009912973,0.0004162126,0.000006501682,0.000002044866,0.00001784614,0.000004423955,0.00006786619,0.9985433,0.0001254019,0.00002511638,0.000745058],"study_design_scores_gemma":[0.00002625719,0.0001927776,0.01686675,0.000003597735,0.00001389184,0.0002664914,0.0000571969,0.005627973,0.9732464,0.0001754443,0.00351918,0.000004157393],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956948,0.0003268501,0.002647725,0.0000637281,0.00001011363,0.00001052336,0.0002831588,0.0001127761,0.0008505008],"genre_scores_gemma":[0.9978801,0.00009267467,0.0008755441,0.00003009765,0.000002503061,0.000009878181,0.0002055381,0.00001701583,0.0008867033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001122043,"threshold_uncertainty_score":0.003753662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007918947209538094,"score_gpt":0.2521473439851116,"score_spread":0.2442283967755735,"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."}}