{"id":"W2810934500","doi":"10.1158/1538-7445.am2018-lb-231","title":"Abstract LB-231: Genomic profiling in serial metastatic colorectal tumors identifies copy number alterations and spatio temporal intra-patient heterogeneity profiles associated with clinical response. Q-CROC-01: NCT00984048","year":2018,"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":"Moncton Hospital; Mount Sinai Hospital; Sunnybrook Health Science Centre; Hôpital Maisonneuve-Rosemont; St Mary's Hospital Centre; Hôpital du Sacré-Cœur de Montréal; Hôtel-Dieu de Québec; Hôpital Charles-Le Moyne; Dr. Georges-L.-Dumont University Hospital Centre; Jewish General Hospital","funders":"","keywords":"Loss of heterozygosity; Colorectal cancer; Copy-number variation; Exome sequencing; Transcriptome; SNP; SNP array; Metastasis; Exome; Single-nucleotide polymorphism; Primary tumor; Copy number analysis; Gene expression profiling; Biology; Tumour heterogeneity; Cancer research; Microsatellite instability; Medicine; Cancer; Gene; Internal medicine; Genotype; Genetics; Gene expression; Genome; Allele; Phenotype; Microsatellite","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":[0.0002945937,0.000190273,0.0004268879,0.0003634355,0.0002033442,0.0003767901,0.0002327283,0.0002611373,0.004807847],"category_scores_gemma":[0.0005589848,0.0001189838,0.0001847897,0.0004913615,0.0002242149,0.0001093799,0.0002116546,0.0004524196,0.0008080543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004762089,"about_ca_system_score_gemma":0.0003784948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002711829,"about_ca_topic_score_gemma":0.00350029,"domain_scores_codex":[0.9997674,0.00003425836,0.00001243641,0.00006697412,0.00008739773,0.00003161716],"domain_scores_gemma":[0.9997413,0.0000690416,0.00006382844,0.00002452304,0.00004669169,0.00005461489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.006651109,0.0005962484,0.09531315,0.000273493,0.0001709706,0.0005886596,0.00009110919,0.001334807,0.8610956,0.0001472538,0.004605768,0.02913175],"study_design_scores_gemma":[0.0005525158,0.005819801,0.8657206,0.00002339558,0.0002103818,0.003406752,0.0001702406,0.005981763,0.1109701,0.0001780901,0.006929216,0.00003712107],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906003,0.0006118307,0.0005342718,0.0002018007,0.00001323323,0.0000608955,0.006739795,0.00009993507,0.00113794],"genre_scores_gemma":[0.9859098,0.0002011148,0.0009246977,0.0001063192,0.000008952396,0.00009487406,0.0108986,0.00002604078,0.001829527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004807847,"threshold_uncertainty_score":0.0160839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05316157453149529,"score_gpt":0.3968342718026481,"score_spread":0.3436726972711528,"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."}}