{"id":"W3202642825","doi":"10.1038/s41388-021-01882-7","title":"CRISPR screens identify cholesterol biosynthesis as a therapeutic target on stemness and drug resistance of colon cancer","year":2021,"lang":"en","type":"article","venue":"Oncogene","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"Health and Medical Research Fund; Canadian Institutes of Health Research; Chinese University of Hong Kong; Terry Fox Research Institute; National Natural Science Foundation of China; Natural Sciences and Engineering Research Council of Canada; Princess Margaret Cancer Foundation","keywords":"Biology; Colorectal cancer; Cancer research; Cancer stem cell; Cancer; Genetics","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":[0.0001674004,0.0003841709,0.0004481989,0.0003461289,0.0001556763,0.0003645379,0.000221102,0.0003451089,0.00151668],"category_scores_gemma":[0.0001722653,0.0001534136,0.0002985883,0.000222825,0.0001814466,0.00009450695,0.0002398041,0.0003912999,0.0003515586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003355263,"about_ca_system_score_gemma":0.0003206502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008722824,"about_ca_topic_score_gemma":0.002075796,"domain_scores_codex":[0.9998041,0.00002836616,0.00002090573,0.00003811264,0.00007227957,0.00003638753],"domain_scores_gemma":[0.9998845,0.00003887863,0.00002753316,0.00001553204,0.00001167871,0.00002185001],"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":[0.00006402288,0.0000203538,0.0003886456,0.0000367622,0.00001290872,0.0001499293,0.00001052707,0.0002192727,0.9960569,0.0001401975,0.000086065,0.002814305],"study_design_scores_gemma":[0.00001898491,0.0002816908,0.003419002,0.000009098173,0.00006238207,0.0005362281,0.00002357118,0.002238946,0.9879579,0.00007468577,0.005369218,0.000008249875],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756929,0.001876797,0.01472742,0.0002706949,0.00004348417,0.0001383982,0.002143673,0.00083879,0.004267664],"genre_scores_gemma":[0.986013,0.001255461,0.007646118,0.000138372,0.000008764124,0.00007029157,0.001195876,0.00007075234,0.003601366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00151668,"threshold_uncertainty_score":0.005073786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267938079915971,"score_gpt":0.2929976203540897,"score_spread":0.28031823955493,"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."}}