BRE1/RNF20 PROMOTES RAD51-MEDIATED STRAND EXCHANGE AND ANTAGONIZES THE SRS2/FBH1 HELICASES



Multi-omics analysis and experiments uncover the function of cancer stemness in ovarian cancer and establish a machine learning-based model for predicting immunotherapy responses

BackgroundThe heterogeneity of cancer makes it challenging to predict its response to immunotherapy, highlighting the need to find reliable biomarkers for assessment.The sophisticated role of cancer stemness in mediating resistance to immune checkpoint inhibitors (ICIs) is still inadequately comprehended.MethodsGenome-scale CRISPR screening of RNA

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