ArticleCancer cell international2026
Single-cell transcriptomics uncovers heterogenous cell clusters and the biomarker FUT11 in ovarian cancer progression.
Article in Cancer cell international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundOvarian cancer (OC) is the most lethal of gynecological cancers and presents a poor prognosis due to difficulty in early diagnosis, extensive abdominal metastasis and chemo-resistance. We utilized single-cell transcriptomics to deconvolute intratumoral heterogeneity and identify biomarkers and therapeutic targets.
methodsSingle-cell RNA sequencing (scRNA-seq) were performed with 15 patient samples. Metastatic and chemo-resistant epithelial subclusters were discovered by copy-number variations (CNV), Kaplan–Meier and enrichment analysis. Fucosyltransferase 11 (FUT11) was identified by differential expression analysis and validated by in vitro assays. Cell-cell communication analysis and protein–protein interaction (PPI) network were conducted to discover pathways and receptors in FUT11 positive (FUT11+) cells. Function of FUT11 in transforming growth factor-β (TGF-β) pathway and drug response prediction were analyzed.
resultsEpithelial subcluster EC5 was associated with metastasis, chemo-resistance and poor prognosis of OC. FUT11 was a hub gene of EC5 and communicated with mesenchymal cells through TGF-β receptors to regulate downstream genes. FUT11 could be applied in chemo-resistance prediction and drug discovery.
conclusionsThe present research provided new insights into gene signatures for tumor progression and drug discovery, and identified FUT11 as a diagnostic biomarker and therapeutic target.
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