{"id":"W3208266986","doi":"10.3389/fonc.2021.760787","title":"New Peptide-Drug Conjugates for Precise Targeting of SORT1-Mediated Vasculogenic Mimicry in the Tumor Microenvironment of TNBC-Derived MDA-MB-231 Breast and Ovarian ES-2 Clear Cell Carcinoma Cells","year":2021,"lang":"en","type":"article","venue":"Frontiers in Oncology","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Theratechnologies (Canada)","funders":"Québec Consortium for Drug Discovery","keywords":"Vasculogenic mimicry; Cancer research; Matrigel; Triple-negative breast cancer; Ovarian cancer; Cancer cell; Cancer stem cell; Metastasis; Cancer; Doxorubicin; Tumor microenvironment; Biology; Breast cancer; Chemistry; Medicine; Angiogenesis; 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":[0.0001470607,0.0003636658,0.0002938877,0.0001697298,0.0001012978,0.0002322209,0.0001781298,0.0003556986,0.000698084],"category_scores_gemma":[0.00009451478,0.0001556445,0.0001589804,0.000138664,0.0001462884,0.0002139086,0.0001518072,0.0003965716,0.0002664098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000366704,"about_ca_system_score_gemma":0.000134342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003064364,"about_ca_topic_score_gemma":0.0004326762,"domain_scores_codex":[0.9999003,0.0000198647,0.00000912171,0.0000260796,0.00002450206,0.00002000943],"domain_scores_gemma":[0.9999398,0.00001258679,0.00002138607,0.000005536668,0.000008275765,0.00001248269],"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":[0.00004895205,0.00002015442,0.00003696434,0.00003892705,0.000004243606,0.0000264243,0.00001136521,0.0001506283,0.9980593,0.0001280743,0.00003281421,0.001442138],"study_design_scores_gemma":[0.00002633324,0.0002799879,0.0005398311,0.000002811449,0.0000122897,0.0001482256,0.000004782103,0.0008411514,0.9956505,0.00001532045,0.002474105,0.000004691237],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889226,0.002415574,0.006804596,0.0001185632,0.00003442111,0.0001057437,0.0002615319,0.00008231941,0.00125471],"genre_scores_gemma":[0.9902687,0.001308541,0.006009898,0.00005306747,0.00000796629,0.00009030093,0.0002987726,0.00001822017,0.001944462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000698084,"threshold_uncertainty_score":0.002660632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005251056543261351,"score_gpt":0.2117857950120985,"score_spread":0.2065347384688371,"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."}}