Publication
Integrative single-cell sequencing and machine learning analyses identify chronic inflammation and cancer-associated fibroblast subsets as drivers of adverse outcomes in ovarian cancer.
Mingqin Kuang, Changmei Shen, Chunping Yang, Shuchun Xie, Yiheng Luo, Baozhen Liao, Hailong Chen
Translational oncologyOct 1, 2026PMID 42632123doi:10.1016/j.tranon.2026.102992 PMC13524660Journal ArticlepubmedProvenance
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- Sep 19, 2026
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- ING-PUBMED-20260919-000001
Abstract
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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 correction. CellChat…
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- cancerMalignant Ovarian Neoplasmdictionary0.60
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