{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000407098,0.0002580222,0.000402515,0.0002671665,0.0001668975,0.0006747816,0.0001827813,0.0004433856,0.002906821],"category_scores_gemma":[0.0005984853,0.0001891721,0.0002603214,0.0003346022,0.0001671378,0.0003104767,0.0001973169,0.000759432,0.001520492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002507781,"about_ca_system_score_gemma":0.0003066603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008004508,"about_ca_topic_score_gemma":0.001295532,"domain_scores_codex":[0.9996662,0.00006541605,0.0000278596,0.00005964635,0.0001322738,0.00004858648],"domain_scores_gemma":[0.9997399,0.00007360982,0.00003961288,0.00005519766,0.00005972896,0.00003199581],"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":[0.0006502114,0.0003119477,0.009510988,0.0001330329,0.00006484548,0.0004882597,0.0001263298,0.000532139,0.9711178,0.0004616692,0.001703784,0.01489886],"study_design_scores_gemma":[0.0001451453,0.001774026,0.05754689,0.0000272293,0.0001202157,0.004384897,0.0002175613,0.004880069,0.9083658,0.0003486739,0.02215825,0.00003138575],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699702,0.004489422,0.01265639,0.0005440692,0.0001944666,0.0002333702,0.004959854,0.0003546396,0.006597464],"genre_scores_gemma":[0.978113,0.001939535,0.009850517,0.0002591287,0.00002212289,0.0001777852,0.005208591,0.00006509238,0.004364228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002906821,"threshold_uncertainty_score":0.009724319,"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."}}