{"id":"W4413857297","doi":"10.1186/s12903-025-06700-0","title":"Lipid metabolites as biomarkers and therapeutic targets in oral squamous cell carcinoma","year":2025,"lang":"en","type":"article","venue":"BMC Oral Health","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"National Key Research and Development Program of China; First Affiliated Hospital of Zhengzhou University; Zhengzhou University","keywords":"Lipidomics; Medicine; Lipid metabolism; Orbitrap; Metabolomics; Cancer research; Biomarker; Transcriptome; Oncology; Basal cell; Diagnostic biomarker; Internal medicine; Bioinformatics; Pathology; Cancer; Mass spectrometry; Biology; Biochemistry; Chemistry; Gene","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":[0.0008116029,0.0005464049,0.0006391793,0.001317654,0.0002260866,0.000903644,0.0001800663,0.0004217741,0.0005788653],"category_scores_gemma":[0.0008812468,0.0001870372,0.0003768728,0.0009679344,0.000227198,0.0004203556,0.0005376731,0.0003144577,0.0002179651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004336555,"about_ca_system_score_gemma":0.0004073515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008885234,"about_ca_topic_score_gemma":0.001586117,"domain_scores_codex":[0.9997715,0.00006913963,0.00002307367,0.00003822964,0.00007224931,0.00002578496],"domain_scores_gemma":[0.999725,0.00007389711,0.0001088007,0.00001805088,0.00005051856,0.00002361981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004646409,0.0002781418,0.5548924,0.0007471391,0.0005219859,0.001226172,0.0002031081,0.005299407,0.218172,0.0005154972,0.0004976217,0.2130001],"study_design_scores_gemma":[0.0001128172,0.002347392,0.8058829,0.000275312,0.0012374,0.002458886,0.0008436212,0.02168516,0.1517732,0.003700577,0.009585244,0.00009750325],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710907,0.02367911,0.003246771,0.0003369791,0.00003474411,0.00004116792,0.0005273576,0.00007030483,0.0009728365],"genre_scores_gemma":[0.9912248,0.005560399,0.002396669,0.00008198144,0.00001797578,0.00001669346,0.0003061082,0.000008759083,0.0003866066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001317654,"threshold_uncertainty_score":0.00429225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01740184329277003,"score_gpt":0.3003830146789712,"score_spread":0.2829811713862011,"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."}}