{"id":"W4409962513","doi":"10.1038/s12276-025-01444-x","title":"Cannabidiol potentiates p53-driven autophagic cell death in non-small cell lung cancer following DNA damage: a novel synergistic approach beyond canonical pathways","year":2025,"lang":"en","type":"article","venue":"Experimental & Molecular Medicine","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"Ministry of SMEs and Startups; Korea Institute of Science and Technology; National Research Foundation of Korea; Ministry of Science and ICT, South Korea; Ministry of Food and Drug Safety; National Research Foundation","keywords":"Autophagy; DNA damage; Non canonical; Lung cancer; Programmed cell death; Cell; Cancer research; DNA; Cell biology; Biology; Chemistry; Apoptosis; Genetics; Medicine; Oncology","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":[0.0001039922,0.0003145225,0.0004502519,0.0003759271,0.0002317728,0.0002908056,0.0001812647,0.0002448673,0.001208787],"category_scores_gemma":[0.00007678186,0.00009427049,0.0004675555,0.0001719963,0.0001851784,0.0002526211,0.0002802601,0.0005738643,0.0002459867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003031647,"about_ca_system_score_gemma":0.0003885186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005161065,"about_ca_topic_score_gemma":0.002360652,"domain_scores_codex":[0.9999126,0.00001205862,0.000006637742,0.00001659416,0.00002614591,0.00002592266],"domain_scores_gemma":[0.9999722,0.000004005362,0.000006196512,0.000004203752,0.000005069093,0.000008223957],"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":[0.0006486594,0.000144515,0.0003111777,0.0002502463,0.00002854984,0.000191,0.00002058738,0.0001108094,0.9879937,0.0001823097,0.0001901654,0.00992838],"study_design_scores_gemma":[0.0001046165,0.001275379,0.006740277,0.00003062867,0.0001063523,0.0006423663,0.00006720365,0.001195092,0.9798726,0.0002424107,0.009706447,0.00001669988],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970903,0.01701863,0.005231314,0.0005345326,0.0001987152,0.0002205654,0.000812486,0.0002239243,0.00485685],"genre_scores_gemma":[0.9838292,0.008487107,0.004183341,0.0002261938,0.00003952386,0.0001068107,0.0004544901,0.00001886005,0.002654511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001208787,"threshold_uncertainty_score":0.004043758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01225752542995306,"score_gpt":0.3040194192148158,"score_spread":0.2917618937848627,"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."}}