ArticleBiochemistry and biophysics reports2021
Cell-to-cell interaction analysis of prognostic ligand-receptor pairs in human pancreatic ductal adenocarcinoma.
Article in Biochemistry and biophysics reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- Improving pancreatic adenocarcinoma prognosis models through ligand receptor interactions and histopathological integration.Journal of translational medicine · 2026Article
- Article
- Single-cell transcriptome analysis reveals the regulatory functions of islet exocrine cells after short-time obesogenic diet.Endocrine · 2024Article
- Melanoma molecular subtyping and scoring model construction based on ligand-receptor pairs.Frontiers in genetics · 2023Article
- SPROUT: spectral sparsification helps restore the spatial structure at single-cell resolution.NAR genomics and bioinformatics · 2022Article
- Identification and implication of tissue-enriched ligands in epithelial-endothelial crosstalk during pancreas development.Scientific reports · 2022Article
- The molecular subtypes of triple negative breast cancer were defined and a ligand-receptor pair score model was constructed by comprehensive analysis of ligand-receptor pairs.Frontiers in immunology · 2022Article
- Mapping and Validation of scRNA-Seq-Derived Cell-Cell Communication Networks in the Tumor Microenvironment.Frontiers in immunology · 2022Review
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cell-to-cell interactions (CCIs) through ligand-receptor (LR) pairs in the tumor microenvironment underlie the poor prognosis of pancreatic ductal adenocarcinoma (PDAC). However, there is scant knowledge of the association of CCIs with PDAC prognosis, which is critical to the identification of potential therapeutic candidates. Here, we sought to identify the LR pairs associated with PDAC patient prognosis by integrating survival analysis and single-cell CCI prediction. Via survival analysis using gene expression from cancer cohorts, we found 199 prognostic LR pairs. CCI prediction based on single-cell RNA-seq data revealed the enriched LR pairs associated with poor prognosis. Notably, the CCIs involved epithelial tumor cells, cancer-associated fibroblasts, and tumor-associated macrophages through integrin-related and
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