{"id":"W4414533290","doi":"10.1016/j.gene.2025.149774","title":"Therapy-induced senescence in prostate cancer: mechanisms, therapeutic strategies, and clinical implications","year":2025,"lang":"en","type":"article","venue":"Gene","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Congressionally Directed Medical Research Programs; Fonds de Recherche du Québec - Santé; Associazione Italiana per la Ricerca sul Cancro; Canadian Institutes of Health Research; Generalitat de Catalunya; Fundación Científica Asociación Española Contra el Cáncer; Fundación Cellex; U.S. Department of Defense; McGill University; Faculty of Medicine, McGill University; Prostate Cancer Foundation; Agencia Estatal de Investigación","keywords":"Prostate cancer; Senescence; Disease; Mechanism (biology); Prostate; Cancer; Phenotype; Translational research; Adverse effect; Cell cycle","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002624785,0.000157718,0.0003096597,0.0001233487,0.00008207466,0.00004280362,0.0001101313,0.00009971314,0.00002387832],"category_scores_gemma":[0.0000205849,0.0001332116,0.00005069856,0.0004259067,0.00007574312,0.0000914425,0.00003489185,0.0002306206,0.000005271853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005458753,"about_ca_system_score_gemma":0.0006605659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004792623,"about_ca_topic_score_gemma":0.0003635168,"domain_scores_codex":[0.9987485,0.00007389569,0.0003765908,0.0004056713,0.0001138955,0.0002814475],"domain_scores_gemma":[0.999354,0.00007720023,0.00006443197,0.0003189541,0.00008333426,0.0001021003],"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":[0.0002558364,0.0002597735,0.08802941,0.00005850012,0.00009371807,0.0000274675,0.0002426279,0.000002067349,0.5563778,0.006584388,0.00007904696,0.3479894],"study_design_scores_gemma":[0.002475021,0.000240928,0.9497768,0.0001351117,0.00005628845,0.00002903084,0.0004744967,0.0001557939,0.03678817,0.007436483,0.002219762,0.0002120687],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984656,0.006269457,0.0007816684,0.00692412,0.0002053729,0.0007309457,0.00001199533,0.00007840639,0.0003420208],"genre_scores_gemma":[0.9848934,0.01182367,0.0006795051,0.002081218,0.00005573858,0.00008684534,0.00001102709,0.00001463451,0.0003540126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8617474,"threshold_uncertainty_score":0.543221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05094674532917338,"score_gpt":0.3739027707487815,"score_spread":0.3229560254196081,"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."}}