{"id":"W2883968393","doi":"10.18632/oncotarget.25697","title":"Patient derived renal cell carcinoma xenografts exhibit distinct sensitivity patterns in response to antiangiogenic therapy and constitute a suitable tool for biomarker development","year":2018,"lang":"en","type":"article","venue":"Oncotarget","topic":"Advanced Glycation End Products research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Deutsche Krebshilfe","keywords":"Sunitinib; Medicine; Biomarker; Axitinib; Bevacizumab; Temsirolimus; Pazopanib; Sorafenib; Renal cell carcinoma; HMGB1; Oncology; Internal medicine; Targeted therapy; Cancer research; Cancer; Hepatocellular carcinoma; Chemotherapy; Discovery and development of mTOR inhibitors; PI3K/AKT/mTOR pathway; Biology; Signal transduction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005323128,0.0001534062,0.0001365983,0.0000865624,0.0001228857,0.00002299042,0.00006749626,0.00007701389,0.00002022058],"category_scores_gemma":[0.0001946055,0.0001455233,0.00003556371,0.0001280218,0.00008810943,0.000008228161,0.0001278128,0.00004682288,0.000008597533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004263719,"about_ca_system_score_gemma":0.0002272956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002924605,"about_ca_topic_score_gemma":0.0001738401,"domain_scores_codex":[0.998678,0.0001676574,0.000201272,0.0004688982,0.0001243299,0.0003598144],"domain_scores_gemma":[0.9993457,0.00005281269,0.00005142266,0.0002745062,0.0001716668,0.000103956],"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":[0.002329237,0.00008003659,0.05654082,0.00001462055,0.00001573676,0.00001100609,0.0003081234,0.000005128276,0.9343956,0.000001300073,0.0006547981,0.005643567],"study_design_scores_gemma":[0.0007828629,0.0003997982,0.2359579,0.00001007729,0.000001894379,0.000008112954,0.00002669625,0.0000193162,0.6766921,0.00000376011,0.08592517,0.0001722927],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891033,0.0002736945,0.00949944,0.0002162983,0.00008671275,0.0006774232,0.00009310753,0.00000787671,0.00004216715],"genre_scores_gemma":[0.9891795,0.00002052389,0.01000209,0.0002142147,0.00008690303,0.00008941138,0.0001438854,0.00002007095,0.0002433931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2577035,"threshold_uncertainty_score":0.5934268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02128673494885511,"score_gpt":0.2841538033010318,"score_spread":0.2628670683521767,"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."}}