{"id":"W4297964759","doi":"10.1093/jnci/djac183","title":"DNA methylation profile in CpG-depleted regions uncovers a high-risk subtype of early-stage colorectal cancer","year":2022,"lang":"en","type":"article","venue":"JNCI Journal of the National Cancer Institute","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute; University Health Network; University of Toronto; Ontario Institute for Cancer Research","funders":"National Cancer Institute; National Key Research and Development Program of China; National Institutes of Health","keywords":"CpG site; DNA methylation; Hazard ratio; Oncology; Epigenetics; Colorectal cancer; Methylation; Internal medicine; Confidence interval; Cohort; Proportional hazards model; Stage (stratigraphy); Medicine; Biomarker; Cancer; Bioinformatics; Biology; Gene; Genetics; Gene expression","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":[0.0002651231,0.0001531941,0.0002674532,0.0004509582,0.0001290376,0.000202185,0.000169455,0.0002049817,0.0006044426],"category_scores_gemma":[0.0008064339,0.0001007065,0.0001710916,0.0003139087,0.0001182823,0.00009420695,0.0002044683,0.0002308454,0.0001012413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001596589,"about_ca_system_score_gemma":0.0001462331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001554026,"about_ca_topic_score_gemma":0.00303144,"domain_scores_codex":[0.9999105,0.00001464511,0.000008101047,0.00002802156,0.0000227367,0.00001602371],"domain_scores_gemma":[0.9996642,0.0000831795,0.0001392512,0.00003814367,0.00004183817,0.0000333929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005490936,0.00003416857,0.9345558,0.00003060547,0.00008552131,0.000098679,0.00006717979,0.0004106908,0.05430515,0.00002921651,0.00007750613,0.009756493],"study_design_scores_gemma":[0.000007317581,0.0001008491,0.9910348,0.000003611389,0.00005233414,0.0004703151,0.00004186431,0.001724653,0.00634309,0.00007321969,0.0001450486,0.000002974744],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991766,0.0001037047,0.000508205,0.00001060502,6.810795e-7,0.000003161202,0.0001065155,0.000007416802,0.0000831639],"genre_scores_gemma":[0.9994847,0.00003015775,0.0002642334,0.000005333001,0.000001036803,0.000002211445,0.0001560733,0.00000138451,0.00005479105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001554026,"threshold_uncertainty_score":0.003089905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02650701451467079,"score_gpt":0.3034299276579931,"score_spread":0.2769229131433223,"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."}}