{"id":"W4414582500","doi":"10.1158/1538-7445.pancreatic25-b115","title":"Abstract B115: Integrated spatial and multi-omic analysis reveals functional niches in the pancreatic cancer microenvironment","year":2025,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Ontario Institute for Cancer Research; Toronto General Hospital; University of Toronto; University Health Network; Public Health Ontario; Lunenfeld-Tanenbaum Research Institute","funders":"","keywords":"Stromal cell; Stroma; Tumor microenvironment; Pancreatic cancer; Immune system; Extracellular matrix; Mass cytometry; Transcriptome; Myeloid","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":[0.0004732079,0.000481242,0.0006573691,0.001265124,0.0005582378,0.001239692,0.0003004161,0.0004724816,0.002400478],"category_scores_gemma":[0.0004190714,0.0001981695,0.0005772034,0.001080858,0.0002617605,0.0003018812,0.0005404491,0.0005714426,0.001220233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004477723,"about_ca_system_score_gemma":0.0004670668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002898164,"about_ca_topic_score_gemma":0.004505327,"domain_scores_codex":[0.9996189,0.00003678384,0.00002258958,0.0001440236,0.000112074,0.00006546987],"domain_scores_gemma":[0.9997469,0.00006467468,0.00005184768,0.00003020357,0.00005907124,0.00004731728],"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":[0.0002723832,0.00004402873,0.01123166,0.0002331727,0.00007572686,0.00008437789,0.00008050512,0.001005223,0.9733034,0.0001878533,0.001262678,0.01221892],"study_design_scores_gemma":[0.00006570797,0.0005260133,0.4534045,0.0001200471,0.000342478,0.001015685,0.0009197193,0.04826378,0.4619793,0.001638301,0.03161095,0.0001135371],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9207133,0.003051632,0.03474391,0.000557048,0.0001066113,0.0001053962,0.0348871,0.002133086,0.003702067],"genre_scores_gemma":[0.8829253,0.001307683,0.06498761,0.0005322948,0.00005203539,0.0001725552,0.04734464,0.0004333064,0.002244574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002898164,"threshold_uncertainty_score":0.008030415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03818792522314635,"score_gpt":0.3530044010312732,"score_spread":0.3148164758081268,"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."}}