ArticleFrontiers in genetics2021
A Ductal-Cell-Related Risk Model Integrating Single-Cell and Bulk Sequencing Data Predicts the Prognosis of Patients With Pancreatic Adenocarcinoma.
Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Evolutionary Restructuring and Systematic Review of theJournal of developmental biology · 2026Review
- The role of RAB GTPases in predicting prognosis and therapy response in pancreatic cancer.Discover oncology · 2025Article
- Research advances of MAL family members in tumorigenesis and tumor progression (Review).Molecular medicine reports · 2024Review
- Identification of basement membrane-related signatures for estimating prognosis, immune infiltration landscape and drug candidates in pancreatic adenocarcinoma.Journal of Cancer · 2024Article
- Identification and Validation of MYADM as a Novel Prognostic Marker Related to EMT in ESCC.Journal of Cancer · 2024Article
- Mitochondrial energy metabolism correlates with an immunosuppressive tumor microenvironment and poor prognosis in esophageal squamous cell carcinoma.Computational and structural biotechnology journal · 2023Article
- A novel natural killer cell-related signatures to predict prognosis and chemotherapy response of pancreatic cancer patients.Frontiers in genetics · 2023Article
- Single-Cell RNA Sequencing Reveals the Role of Epithelial Cell Marker Genes in Predicting the Prognosis of Colorectal Cancer Patients.Disease markers · 2022Article
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8 authors.
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Abstract
Pancreatic ductal adenocarcinoma (PDAC) is a highly heterogeneous malignancy. Single-cell sequencing (scRNA-seq) technology enables quantitative gene expression measurements that underlie the phenotypic diversity of cells within a tumor. By integrating PDAC scRNA-seq and bulk sequencing data, we aim to extract relevant biological insights into the ductal cell features that lead to different prognoses. Firstly, differentially expressed genes (DEGs) of ductal cells between normal and tumor tissues were identified through scRNA-seq data analysis. The effect of DEGs on PDAC survival was then assessed in the bulk sequencing data. Based on these DEGs (
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