ArticleGenes2026
Integrated Single-Cell and Bulk Transcriptomic Analyses Identify a B Cell- and Plasma Cell-Associated Prognostic Signature and a Candidate Tumor-Suppressive Role for
Article in Genes, 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) exhibits substantial tumor heterogeneity and an immunosuppressive tumor microenvironment (TME), both contributing to its unfavorable clinical outcomes. Recent studies have increasingly demonstrated that dysregulated glycosylation significantly impacts tumor progression and immune modulation. However, the specific functions and implications of glycosylation-associated regulators in OC remain poorly understood. This study integrates single-cell and bulk transcriptomic data to uncover crucial genes within the TME and investigates the potential role of Fucosyltransferase 8 (
methodsSingle-cell RNA sequencing (scRNA-seq) data from OC and normal ovarian tissues (GSE184880, n = 12) were analyzed using Seurat and Harmony for clustering and annotation. Ro/e analysis identified B cells and plasma cells as enriched immune populations. Their marker genes were integrated with The Cancer Genome Atlas (TCGA) cohort as the training set, while internal testing and an independent external validation cohort (GSE63885) were used to construct and validate the prognostic model.
resultsWe constructed a single-cell atlas consisting of 46,235 cells classified into seven principal cell populations, highlighting significant enrichment of B and plasma cells in OC tissues. The prognostic signature could stratify patients into high- and low-risk groups across training, internal validation, and external validation cohorts, showing consistent prognostic stratification capacity.
conclusionsWe developed a prognostic signature informed by single-cell data for OC and identified
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