{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000360577,0.0001715338,0.0004066823,0.00005890696,0.00003459966,0.000005913161,0.0002108457,0.0001641519,0.00002273707],"category_scores_gemma":[0.00003665773,0.0001524846,0.0001549499,0.00009670897,0.0001577524,0.000004372933,0.0001181434,0.00009722452,6.081598e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005502679,"about_ca_system_score_gemma":0.000289561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001555823,"about_ca_topic_score_gemma":0.0001483396,"domain_scores_codex":[0.9985747,0.000219115,0.0004386465,0.000391102,0.00008173117,0.0002947498],"domain_scores_gemma":[0.9993559,0.00007424084,0.0002176221,0.000250236,0.00004507941,0.00005693198],"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":[0.0004950429,0.000379724,0.03937675,0.0001064362,0.00006897135,0.00002039883,0.0006428987,0.00007820249,0.9340234,0.000003976089,0.02314131,0.001662877],"study_design_scores_gemma":[0.005639565,0.0005487895,0.02900643,0.0000306773,0.00009653145,0.00003248928,0.003394604,0.0001814142,0.9335241,0.00005751143,0.02722354,0.00026438],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862684,0.01122738,0.001361249,0.0002464923,0.0002958595,0.0004036273,0.0001040768,0.000002081781,0.00009081394],"genre_scores_gemma":[0.9811272,0.001554011,0.01662382,0.0002626762,0.0001109625,0.00004394269,0.0001236974,0.00002606643,0.000127641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01526257,"threshold_uncertainty_score":0.621814,"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."}}