Hailong Chen

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

Background Ovarian cancer remains the deadliest gynecological malignancy, with neoadjuvant chemotherapy (NACT) often leaving residual fibroblast-enriched disease. Methods Single-cell RNA sequencing data from 64,097 cells were analyzed using Seurat (v4.1.3) with Harmony batch corr...