Integrative single-cell sequencing and machine learning analyses identify chronic inflammation and cancer-associated fibroblast subsets as drivers of adverse outcomes in ovarian cancer

Abstract

Highlights • Single-cell analysis identifies M8 fibroblast subcluster as dominant post-NACT population linked to ovarian cancer chemo-resistance.• NHP2 shows high diagnostic value (AUC=0.758) and predicts poor survival, driving ovarian cancer progression.• NHP2 knockdown suppresses proliferation, migration and invasion of ovarian cancer cells in vitro.