{"id":"W4411257248","doi":"10.1093/jnci/djaf137","title":"Proteogenomic and observational evidence implicate ANGPTL4 as a potential therapeutic target for colorectal cancer prevention","year":2025,"lang":"en","type":"article","venue":"JNCI Journal of the National Cancer Institute","topic":"Lipid metabolism and disorders","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Rijksinstituut voor Volksgezondheid en Milieu; NIHR Imperial Biomedical Research Centre; Generalitat de Catalunya; Instituto de Salud Carlos III; Engineering and Physical Sciences Research Council; National Institute for Health and Care Research; Centres de Recerca de Catalunya; World Health Organization","keywords":"Observational study; Colorectal cancer; Medicine; ANGPTL4; Proteogenomics; Oncology; Cancer; Internal medicine; Intensive care medicine; Biology; Genetics; Genomics; Gene","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":[0.002813044,0.0002649432,0.0004108887,0.00061349,0.0002277024,0.0005691387,0.0003570979,0.0002785196,0.003302515],"category_scores_gemma":[0.005808494,0.0001659002,0.0008333506,0.001007973,0.0004341028,0.0002010394,0.0004153039,0.0006051386,0.0002647056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004338467,"about_ca_system_score_gemma":0.0005561005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001993989,"about_ca_topic_score_gemma":0.002926681,"domain_scores_codex":[0.998757,0.0006616358,0.00007080207,0.0002610956,0.000186614,0.00006287773],"domain_scores_gemma":[0.9939282,0.00239917,0.002399072,0.0007806427,0.0002835666,0.0002093196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003804309,0.00008221548,0.9408216,0.0004679931,0.003287841,0.0002558672,0.0000527081,0.001301567,0.00913294,0.0009099989,0.001238318,0.03864468],"study_design_scores_gemma":[0.0001460176,0.0005956736,0.9829249,0.00007843797,0.002106892,0.0008776685,0.00007001946,0.002636989,0.003610895,0.001701324,0.005234048,0.00001699977],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700843,0.01075149,0.009375038,0.001967638,0.00008216556,0.00005761184,0.00351554,0.0001546066,0.00401157],"genre_scores_gemma":[0.9946098,0.001377771,0.00239523,0.0003115005,0.00003785755,0.00002068204,0.0008519465,0.00002473346,0.0003705737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003302515,"threshold_uncertainty_score":0.01487696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0937675552231474,"score_gpt":0.4075884794007272,"score_spread":0.3138209241775798,"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."}}