ArticleGenome medicine2024
Integrative analysis of spatial and single-cell transcriptome data from human pancreatic cancer reveals an intermediate cancer cell population associated with poor prognosis.
Article in Genome medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.
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50 citing papers in PubMed.
- Integrative single-cell and spatial transcriptomic approaches to decipher the tumor microenvironment and therapeutic resistance in pancreatic cancer.Cancer biology & therapy · 2026Review
- Periductal Fibroblast Density Defines Lymphocyte Exclusion via a CD44-Dependent Stromal Checkpoint in Pancreatic Cancer.Cancer immunology research · 2026Article
- Targeting Oncomucin-Driven Immunosuppression Improves the Efficacy of K-rasGastroenterology · 2026Article
- Spatially resolved tissue architecture and computational pathology in pancreatic cancer.Experimental & molecular medicine · 2026Review
- Advances in deciphering intratumoral versus peritumoral heterogeneity of infiltrating lymphocytes in pancreatic cancer: a spatial perspective.Translational oncology · 2026Review
- FerroScore: a statistical approach for quantifying tumor-related ferroptosis based on omics data.Briefings in bioinformatics · 2026Article
- Improving pancreatic adenocarcinoma prognosis models through ligand receptor interactions and histopathological integration.Journal of translational medicine · 2026Article
- Glycolysis-driven cancer-associated fibroblasts shape T-Cell exclusion via the CXCL16-CXCR6 Axis: a metabolic-chemokine mechanism in tumor immunity.Journal of translational medicine · 2026Review
- Identification of immunogenic cell death-related prognostic genes in gastric cancer.Journal of gastrointestinal oncology · 2026Article
- Global scientific growth and thematic development of spatial transcriptomics in oncology research.Discover oncology · 2026Article
- Molecular subtypes in pancreatic cancer: from academic promise to clinical reality.Molecular cancer · 2026Review
- Intratumoral Three-Cell-Type Clusters Are a Conserved Feature of Endogenous Antitumor Immunity.Cancer immunology research · 2026Article
- Integrative spatial multi-omics reveal niche-specific inflammatory signaling and differentiation hierarchies in AML.iScience · 2026Article
- Single-cell and spatial transcriptomic profiling reveals the expression characteristics of PTPRR in epithelial cells and its potential implications in pancreatic cancer metastasis.Frontiers in immunology · 2026Article
- The Heterogeneity and Function of Stromal Cells in the Tumor Microenvironment.Research (Washington, D.C.) · 2026Review
- Integrated Genomic and Single-Cell Analysis Reveals Heterogeneity, Prognosis, and Treatment Vulnerability in Urothelial Carcinoma.Human mutation · 2026Article
- Spatial dynamics of cancer-associated fibroblasts links fibroblastic differentiation to immune exclusion and tumor progression.Frontiers in immunology · 2026Article
- Mucin 5ac modulates cancer-associated fibroblast heterogeneity through epigenetic reprogramming of precursor cells.American journal of physiology. Cell physiology · 2026Article
- A MYC-LDHA-MCT4 expression program marks an SPP1/TREM2-centered macrophage state in pancreatic ductal adenocarcinoma.Frontiers in immunology · 2026Article
- Transcription factor-driven metabolic stratification reveals glycolytic and lipogenic subtypes with distinct prognostic and functional features in pancreatic cancer.Frontiers in oncology · 2026Article
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Abstract
backgroundRecent studies using single-cell transcriptomic analysis have reported several distinct clusters of neoplastic epithelial cells and cancer-associated fibroblasts in the pancreatic cancer tumor microenvironment. However, their molecular characteristics and biological significance have not been clearly elucidated due to intra- and inter-tumoral heterogeneity.
methodsWe performed single-cell RNA sequencing using enriched non-immune cell populations from 17 pancreatic tumor tissues (16 pancreatic cancer and one high-grade dysplasia) and generated paired spatial transcriptomic data from seven patient samples.
resultsWe identified five distinct functional subclusters of pancreatic cancer cells and six distinct cancer-associated fibroblast subclusters. We deeply profiled their characteristics, and we found that these subclusters successfully deconvoluted most of the features suggested in bulk transcriptome analysis of pancreatic cancer. Among those subclusters, we identified a novel cancer cell subcluster, Ep_VGLL1, showing intermediate characteristics between the extremities of basal-like and classical dichotomy, despite its prognostic value. Molecular features of Ep_VGLL1 suggest its transitional properties between basal-like and classical subtypes, which is supported by spatial transcriptomic data.
conclusionsThis integrative analysis not only provides a comprehensive landscape of pancreatic cancer and fibroblast population, but also suggests a novel insight to the dynamic states of pancreatic cancer cells and unveils potential therapeutic targets.
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