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

Abstract excerpt

Background: The 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. Methods: Genome-scale CRISPR screening of RNA sequencing data from Project Achilles was utilized to...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Cancer Immunotherapy and Biomarkers
• Share to Ferroptosis and cancer prognosis
• Share to Single-cell and spatial transcriptomics