SynthesisOncogene2005
Meta-analysis of microarray data on pancreatic cancer defines a set of commonly dysregulated genes.
Synthesis in Oncogene, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 7 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
86 citing papers in PubMed, 7 syntheses or guidelines pooled it.
- Pooled it
- Meta-Analysis Based on Nonconvex Regularization.Scientific reports · 2020Pooled it
- Transcriptome meta-analysis reveals a dysregulation in extra cellular matrix and cell junction associated gene signatures during Dengue virus infection.Scientific reports · 2016Pooled it
- Type I interferon related genes are common genes on the early stage after vaccination by meta-analysis of microarray data.Human vaccines & immunotherapeutics · 2015Pooled it
- A meta analysis of pancreatic microarray datasets yields new targets as cancer genes and biomarkers.PloS one · 2014Pooled it
- A resampling-based meta-analysis for detection of differential gene expression in breast cancer.BMC cancer · 2008Pooled it
- Pooled it
- Spatial Gene Set Enrichment Analysis with Applications to Spatially Resolved Transcriptomic Data.bioRxiv : the preprint server for biology · 2026Article
- Article
- The scRNA-sequencing landscape of pancreatic ductal adenocarcinoma revealed distinct cell populations associated with tumor initiation and progression.Genes & diseases · 2025Article
- Deciphering of SOX9 Functions in Pancreatic Cancer Cells.International journal of molecular sciences · 2025Article
- Precision Targeting Strategies in Pancreatic Cancer: The Role of Tumor Microenvironment.Cancers · 2024Review
- Review
- Krüppel-like Factor 5 Plays an Important Role in the Pathogenesis of Chronic Pancreatitis.Cancers · 2023Article
- Pancreatic Cancer: Genetic Conditions and Epigenetic Alterations.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2023Review
- The immune response to a fungus in pancreatic cancer samples.bioRxiv : the preprint server for biology · 2023Article
- Digital spatial profiling of intraductal papillary mucinous neoplasms: Toward a molecular framework for risk stratification.Science advances · 2023Article
- Targeted and explorative profiling of kallikrein proteases and global proteome biology of pancreatic ductal adenocarcinoma, chronic pancreatitis, and normal pancreas highlights disease-specific proteome remodelling.Neoplasia (New York, N.Y.) · 2023Article
- The inflammatory response of human pancreatic cancer samples compared to normal controls.PloS one · 2023Article
- Artificial intelligence-driven meta-analysis of brain gene expression identifies novel gene candidates and a role for mitochondria in Alzheimer's disease.Computational and structural biotechnology journal · 2023Article
26 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pancreatic ductal adenocarcinoma is the eighth most common cancer with the lowest overall 5-year relative survival rate of any tumor type today. Expression profiling using microarrays has been widely used to identify genes associated with pancreatic cancer development. To extract maximum value from the available gene expression data, we applied a meta-analysis to search for commonly differentially expressed genes in pancreatic ductal adenocarcinoma. We obtained data sets from four different gene expression studies on pancreatic cancer. We selected a consensus set of 2984 genes measured in all four studies and applied a meta-analysis approach to evaluate the combined data. Of the genes identified as differentially expressed, several were validated using RT-PCR and immunohistochemistry. Additionally, we used a class discovery algorithm to identify a gene expression signature. Our meta-analysis revealed that the pancreatic cancer gene expression data sets shared a significant number of up- and downregulated genes, independent of the technology used. This interstudy crossvalidation approach generated a set of 568 genes that were consistently and significantly dysregulated in pancreatic cancer. Of these, 364 (64.1%) were upregulated and 204 (35.9%) were downregulated in pancreatic cancer. Only 127 (22%) were described in the published individual analyses. Functional annotation of the genes revealed that genes presumably associated with the cell adhesion-mediated drug resistance pathway are frequently overexpressed in pancreatic cancer. Meta-analysis is an important tool for the identification and validation of differentially expressed genes. These could represent good candidates for novel diagnostic and therapeutic approaches to pancreatic cancer.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.