ArticleOncogene2004
Genome-wide cDNA microarray analysis of gene expression profiles in pancreatic cancers using populations of tumor cells and normal ductal epithelial cells selected for purity by laser microdissection.
Article in Oncogene, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers, 1 of them a synthesis that pooled it.
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Who cites it
111 citing papers in PubMed, 1 synthesis or guideline pooled it, 260 citations in OpenAlex.
- Meta-analysis of microarray data on pancreatic cancer defines a set of commonly dysregulated genes.Oncogene · 2005Pooled it
- Prognostic relevance of molecular subtypes and master regulators in pancreatic ductal adenocarcinoma.BMC cancer · 2016Trial
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- ESPL1 is Elevated in Hepatocellular Carcinoma and Predicts Prognosis.International journal of general medicine · 2022Article
- Emerging Role of miR-345 and Its Effective Delivery as a Potential Therapeutic Candidate in Pancreatic Cancer and Other Cancers.Pharmaceutics · 2021Review
- Construction of a five-gene prognostic model based on immune-related genes for the prediction of survival in pancreatic cancer.Bioscience reports · 2021Article
- Analysis of transcriptome in the relationship between expression of PRC1 protein and prognosis of patients with cholangiocarcinoma.The Journal of international medical research · 2021Article
- Identifying and Validating Potential Biomarkers of Early Stage Lung Adenocarcinoma Diagnosis and Prognosis.Frontiers in oncology · 2021Article
- Prediction of survival and recurrence in patients with pancreatic cancer by integrating multi-omics data.Scientific reports · 2020Article
- The Glyoxalase System-New Insights into an Ancient Metabolism.Antioxidants (Basel, Switzerland) · 2020Review
51 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
15 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To characterize molecular mechanism involved in pancreatic carcinogenesis, we analysed gene-expression profiles of 18 pancreatic tumors using a cDNA microarray representing 23,040 genes. As pancreatic ductal adenocarcinomas usually contain a low proportion of cancer cells in the tumor mass, we prepared 95% pure populations of pancreatic cancer cells by means of laser microbeam microdissection, and compared their expression profiles to those of similarly purified, normal pancreatic ductal cells. We identified 260 genes that were commonly upregulated and 346 genes that were downregulated in pancreatic cancer cells. Because of the high degree of purity in the cell populations, a large proportion of genes that we detected as upregulated or downregulated in pancreatic cancers were different from those reported in previous studies. Comparison of clinicopathological parameters with the expression profiles indicated that altered expression of 76 genes was associated with lymph-node metastasis and that of 168 genes with liver metastasis. In addition, expression levels of 30 genes were related to the recurrence of disease. These genome-wide expression profiles should provide useful information for finding candidate genes whose products might serve as specific tumor markers and/or as molecular targets for treatment of patients with pancreatic cancer.
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