{"id":"W4410741917","doi":"10.1038/s41467-025-60129-1","title":"HMGA2 and protein leucine methylation drive pancreatic cancer lineage plasticity","year":2025,"lang":"en","type":"article","venue":"Nature Communications","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto; Ontario Institute for Cancer Research","funders":"National Institute of General Medical Sciences; Deutsche Forschungsgemeinschaft; University of Washington; Fred Hutchinson Cancer Research Center; American Cancer Society; Swim Across America; National Cancer Institute; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Pancreatic cancer; Lineage (genetic); Biology; Methylation; HMGA2; DNA methylation; Cell biology; Genetics; Cancer research; Computational biology; Cancer; Gene; microRNA; 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":[0.0001151235,0.0002475201,0.0001877025,0.0001862863,0.000212174,0.0004110219,0.0001766739,0.0002794024,0.001541973],"category_scores_gemma":[0.00008860861,0.0002251597,0.0002655916,0.0001232595,0.0002433493,0.0001713721,0.0004540196,0.000532861,0.0004478688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003145144,"about_ca_system_score_gemma":0.0002542131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006342279,"about_ca_topic_score_gemma":0.001057961,"domain_scores_codex":[0.9998559,0.00001824088,0.00001138899,0.00004113779,0.00004196052,0.00003133414],"domain_scores_gemma":[0.9999031,0.000007592448,0.00002731107,0.00001262679,0.000009873997,0.00003948759],"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":[0.000123526,0.00001474173,0.0009586459,0.00002804017,0.000006075689,0.00006802422,0.00001552318,0.00003412594,0.9971889,0.0001778359,0.00004839301,0.001336272],"study_design_scores_gemma":[0.0000308351,0.0002849923,0.01413951,0.00000765888,0.0000277814,0.0005452388,0.0000703637,0.0009665505,0.9780836,0.0002190856,0.00561748,0.000007031563],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912991,0.001852074,0.00364918,0.000221897,0.00004155336,0.00002659126,0.0003471714,0.0001537062,0.002408744],"genre_scores_gemma":[0.9942931,0.0006783797,0.00135335,0.00007598996,0.000009604642,0.00002208915,0.0002601915,0.00001922208,0.003288144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001541973,"threshold_uncertainty_score":0.005158424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01253364100107754,"score_gpt":0.3188425605472837,"score_spread":0.3063089195462061,"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."}}