ArticleCellular oncology (Dordrecht, Netherlands)2020
Co-expression analysis of pancreatic cancer proteome reveals biology and prognostic biomarkers.
Article in Cellular oncology (Dordrecht, Netherlands), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.
- [Application and Progress of Organoid-on-a-chip Platforms in Lung Cancer Diagnosis and Therapy].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2025Pooled it
- Integrated transcriptomic and functional characterization of Claudin-1 reveals its oncogenic and immunomodulatory roles in pancreatic ductal adenocarcinoma.Tissue barriers · 2026Article
- Knowledge Discovery and Drug-Repurposing Framework for Pancreatic Ductal Adenocarcinoma: Molecular Networking and Computational Docking.Computational and structural biotechnology journal · 2026Article
- Exploring Splicing Modulation as an Innovative Approach to Combat Pancreatic Cancer: SF3B1 Emerges as a Prognostic Indicator and Therapeutic Target.International journal of biological sciences · 2024Article
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- Phosphoproteomics data-driven signalling network inference: Does it work?Computational and structural biotechnology journal · 2023Article
- Identifying key transcription factors and immune infiltration in non-small-cell lung cancer using weighted correlation network and Cox regression analyses.Frontiers in oncology · 2023Article
- Nucleoside transporters and immunosuppressive adenosine signaling in the tumor microenvironment: Potential therapeutic opportunities.Pharmacology & therapeutics · 2022Review
- Annotation and functional characterization of long noncoding RNAs deregulated in pancreatic adenocarcinoma.Cellular oncology (Dordrecht, Netherlands) · 2022Article
- Exploring Human Milk Dynamics: Interindividual Variation in Milk Proteome, Peptidome, and Metabolome.Journal of proteome research · 2022Article
- Identification of Genes Related to Hair Follicle Cycle Development in Inner Mongolia Cashmere Goat by WGCNA.Frontiers in veterinary science · 2022Article
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- βII spectrin (SPTBN1): biological function and clinical potential in cancer and other diseases.International journal of biological sciences · 2021Review
- High PYGL Expression Predicts Poor Prognosis in Human Gliomas.Frontiers in neurology · 2021Article
- NONMMUT140591.1 may serve as a ceRNA to regulate Gata5 in UT-B knockout-induced cardiac conduction block.Open life sciences · 2021Article
- Placental Gene Co-expression Network for Maternal Plasma Lipids Revealed Enrichment of Inflammatory Response Pathways.Frontiers in genetics · 2021Article
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Authors and funding
11 authors at 5 institutions in 2 countries.
Funding
Abstract
purposeDespite extensive biological and clinical studies, including comprehensive genomic and transcriptomic profiling efforts, pancreatic ductal adenocarcinoma (PDAC) remains a devastating disease, with a poor survival and limited therapeutic options. The goal of this study was to assess co-expressed PDAC proteins and their associations with biological pathways and clinical parameters.
methodsCorrelation network analysis is emerging as a powerful approach to infer tumor biology from omics data and to prioritize candidate genes as biomarkers or drug targets. In this study, we applied a weighted gene co-expression network analysis (WGCNA) to the proteome of 20 surgically resected PDAC specimens (PXD015744) and confirmed its clinical value in 82 independent primary cases.
resultsUsing WGCNA, we obtained twelve co-expressed clusters with a distinct biology. Notably, we found that one module enriched for metabolic processes and epithelial-mesenchymal-transition (EMT) was significantly associated with overall survival (p = 0.01) and disease-free survival (p = 0.03). The prognostic value of three proteins (SPTBN1, KHSRP and PYGL) belonging to this module was confirmed using immunohistochemistry in a cohort of 82 independent resected patients. Risk score evaluation of the prognostic signature confirmed its association with overall survival in multivariate analyses. Finally, immunofluorescence analysis confirmed co-expression of SPTBN1 and KHSRP in Hs766t PDAC cells.
conclusionsOur WGCNA analysis revealed a PDAC module enriched for metabolic and EMT-associated processes. In addition, we found that three of the proteins involved were associated with PDAC survival.
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