{"id":"W4409689678","doi":"10.1158/1538-7445.am2025-2210","title":"Abstract 2210: Microbiome profiling reveals that fecal microbiota transplantation (FMT) modulates response and toxicity when combined with immunotherapy in patients with lung cancer and melanoma (FMT-LUMINate NCT04951583)","year":2025,"lang":"en","type":"article","venue":"Cancer Research","topic":"Clostridium difficile and Clostridium perfringens research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Centre hospitalier universitaire de Québec; McGill University Health Centre; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Microbiome; Fecal bacteriotherapy; Melanoma; Immunotherapy; Medicine; Lung cancer; Cancer; Colorectal cancer; Transplantation; Toxicity; Profiling (computer programming); Lung; Internal medicine; Oncology; Immunology; Biology; Cancer research; Clostridium difficile; Bioinformatics; Microbiology","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":[0.0004133789,0.0001672671,0.000509901,0.0001725322,0.0002637252,0.000337911,0.0001497096,0.0003383021,0.004001926],"category_scores_gemma":[0.0003848136,0.000106828,0.000341181,0.0002782551,0.0001386106,0.0001794433,0.000310329,0.0004969565,0.0004901661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003130838,"about_ca_system_score_gemma":0.0004291612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000634272,"about_ca_topic_score_gemma":0.001283107,"domain_scores_codex":[0.999831,0.00005501658,0.00001238529,0.00004013232,0.00003040988,0.00003107136],"domain_scores_gemma":[0.9998086,0.00002596764,0.00005512327,0.00001831137,0.00003096748,0.0000610701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.09543173,0.005430188,0.364955,0.0006686538,0.00084405,0.0003590248,0.0002653558,0.0009735239,0.3906919,0.0001331287,0.007772905,0.1324745],"study_design_scores_gemma":[0.002441452,0.05557032,0.9087933,0.00007197164,0.0005065909,0.000678194,0.0002108442,0.00145035,0.02347908,0.000136465,0.006634004,0.00002758262],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996507,0.0005503058,0.0001465382,0.0001643771,0.00002408995,0.00008850867,0.001868637,0.00001743685,0.0006330351],"genre_scores_gemma":[0.9945432,0.0002471034,0.00052613,0.0002342071,0.00002387126,0.0001557136,0.003257085,0.000006714116,0.001005976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004001926,"threshold_uncertainty_score":0.01338774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02051240757130883,"score_gpt":0.3319119653673624,"score_spread":0.3113995577960535,"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."}}