{"id":"W4410494731","doi":"10.1007/s13346-025-01873-1","title":"Mitigating radioresistance mechanisms by polymer-lipid manganese dioxide nanoparticles enhances immunogenic cell death and antitumor immune response to facilitate abscopal effect in breast tumor models","year":2025,"lang":"en","type":"article","venue":"Drug Delivery and Translational Research","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ministry of Education, Libya","keywords":"Radioresistance; Immune system; Abscopal effect; Manganese; Immunogenic cell death; Cancer research; Chemistry; Medicine; Immunology; Radiation therapy; Immunotherapy; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001001101,0.0002168978,0.00007997872,0.00008378636,0.00007531497,0.000123344,0.0001182989,0.000162896,0.0006428163],"category_scores_gemma":[0.0000569565,0.00008227224,0.0001294541,0.0000410873,0.0001157507,0.0001532419,0.000113686,0.0002836293,0.0001082151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001711769,"about_ca_system_score_gemma":0.0001215971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000409794,"about_ca_topic_score_gemma":0.0008301321,"domain_scores_codex":[0.9999539,0.000006452662,0.000002456214,0.00001267274,0.00001049995,0.00001397007],"domain_scores_gemma":[0.9999717,0.000005073685,0.00001049951,0.000002773413,0.000004153571,0.000005801237],"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":[0.00007294057,0.00002101672,0.00005237438,0.00002176921,0.000002256943,0.00001038996,0.000006863207,0.0001296579,0.9987248,0.0001326141,0.00003046664,0.0007948635],"study_design_scores_gemma":[0.000007394461,0.0001520695,0.0002540232,0.000001582061,0.000008171375,0.00002263758,0.000005143909,0.001335138,0.997416,0.00002141328,0.000774737,0.000001652366],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923815,0.0003776854,0.0059606,0.00007170357,0.00002413861,0.00002508204,0.00006331658,0.0000744588,0.001021543],"genre_scores_gemma":[0.9956257,0.0002169306,0.00218747,0.00002767087,0.000004317535,0.00002823086,0.00005049469,0.00001034893,0.001848838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006428163,"threshold_uncertainty_score":0.002150416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01394707177962964,"score_gpt":0.2478135651297626,"score_spread":0.2338664933501329,"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."}}