ArticleWorld journal of gastroenterology2003
Analysis of gene expression profile of pancreatic carcinoma using cDNA microarray.
Article in World journal of gastroenterology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Meta-analysis of microarray data on pancreatic cancer defines a set of commonly dysregulated genes.Oncogene · 2005Pooled it
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- Identification of novel therapeutic target genes and pathway in pancreatic cancer by integrative analysis.Medicine · 2017Article
- Bioorthogonal labeling cell-surface proteins expressed in pancreatic cancer cells to identify potential diagnostic/therapeutic biomarkers.Cancer biology & therapy · 2015Article
- Overexpression of COL11A1 by cancer-associated fibroblasts: clinical relevance of a stromal marker in pancreatic cancer.PloS one · 2013Article
- Identifying Biomarkers and Drug Targets Using Systems Biology Approaches for Pancreatic Cancer.Pancreatic disorders & therapy · 2012Article
- Hedgehog inhibition prolongs survival in a genetically engineered mouse model of pancreatic cancer.Gut · 2008Article
- Anterior gradient 2 is expressed and secreted during the development of pancreatic cancer and promotes cancer cell survival.Cancer research · 2008Article
- Pancreatic Expression database: a generic model for the organization, integration and mining of complex cancer datasets.BMC genomics · 2007Article
- Identification of biomarkers of human pancreatic adenocarcinomas by expression profiling and validation with gene expression analysis in endoscopic ultrasound-guided fine needle aspiration samples.World journal of gastroenterology · 2006Article
- Expression of S100P and its novel binding partner S100PBPR in early pancreatic cancer.The American journal of pathology · 2005Article
- Microarray-based gene expression profiling in pancreatic ductal carcinoma: status quo and perspectives.International journal of colorectal disease · 2004Review
- Tests for finding complex patterns of differential expression in cancers: towards individualized medicine.BMC bioinformatics · 2004Article
- Association of differentially expressed genes with activation of mouse hepatic stellate cells by high-density cDNA microarray.World journal of gastroenterology · 2004Article
- Overexpression of annexin 1 in pancreatic cancer and its clinical significance.World journal of gastroenterology · 2004Article
- Effects of daidzein on estrogen-receptor-positive and negative pancreatic cancer cells in vitro.World journal of gastroenterology · 2004Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo identify new diagnostic markers and drug targets, the gene expression profiles of pancreatic cancer were compared with that of adjacent normal tissues utilizing cDNA microarray analysis.
methodscDNA probes were prepared by labeling mRNA from samples of six pancreatic carcinoma tissues with Cy5-dUTP and mRNA from adjacent normal tissues with Cy3-dUTP respectively through reverse transcription. The mixed probes of each sample were then hybridized with 12 800 cDNA arrays (12 648 unique human cDNA sequences), and the fluorescent signals were scanned by ScanArray 3 000 scanner (General Scanning, Inc.). The values of Cy5-dUTP and Cy3-dUTP on each spot were analyzed and calculated by ImaGene 3.0 software (BioDiscovery, Inc.). Differentially expressed genes were screened according to the criterion that the absolute value of natural logarithm of the ratio of Cy5-dUTP to Cy3-dUTP was greater-than 0.69.
resultsAmong 6 samples investigated, 301 genes, which accounted for 2.38 % of genes on the microarry slides, exhibited differentially expression at least in 5. There were 166 over-expressed genes including 136 having been registered in Genebank, and 135 under-expressed genes including 79 in Genebank in cancerous tissues.
conclusionMicroarray analysis may provide invaluable information on disease pathology, progression, resistance to treatment, and response to cellular microenvironments of pancreatic carcinoma and ultimately may lead to improving early diagnosis and discovering innovative therapeutic approaches for cancer.
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