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AIM:To identify new diagnostic markers and drug targets,the gene expression profiles of pancreatic cancer werecompared with that of adjacent normal tissues utilizing cDNAmicroarray analysis.METHODS:cDNA probes were prepared by labeling mRNAfrom samples of six pancreatic carcinoma tissues with Cy5-dUTP and mRNA from adjacent normal tissues with Cy3-dUTP respectively through reverse transcription.The mixedprobes of each sample were then hybridized with 12 800cDNA arrays (12 648 unique human cDNA sequences),andthe fluorescent signals were scanned by ScanArray 3 000scanner (General Scanning,Inc.).The values of Cy5-dUTPand Cy3-dUTP on each spot were analyzed and calculatedby ImaGene 3.0 software (BioDiscovery,Inc.).Differentiallyexpressed genes were screened according to the criterionthat the absolute value of natural logarithm of the ratio ofCy5-dUTP to Cy3-dUTP was greater-than 0.69.RESULTS:Among 6 samples investigated,301 genes,whichaccounted for 2.38% of genes on the microarry slides,exhibited differentially expression at least in 5.There were166 over-expressed genes including 136 having beenregistered in Genebank,and 135 under-expressed genesincluding 79 in Genebank in cancerous tissues.CONCLUSION:Microarray analysis may provide invaluableinformation on disease pathology,progression,resistanceto treatment,and response to cellular microenvironmentsof pancreatic carcinoma and ultimately may lead to improvingearly diagnosis and discovering innovative therapeuticapproaches for cancer.
AIM: To identify new diagnostic markers and drug targets, the gene expression profiles of pancreatic cancer werecompared with that of adjacent normal tissues using cDNA microarray analysis. METHODS: cDNA 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 3000 scanners (General Scanning, Inc.) The values of Cy5-dUTPand Cy3-dUTP on each spot were analyzed and calculatedby ImaGene 3.0 software (BioDiscovery, Inc.). Differentiallyexpressed genes were screened according to the criterion that the absolute value of natural logarithm of the ratio ofCy5-dUTP to Cy3- dUTP was greater-than 0.69 .RESULTS: Among 6 samples investigated, 301 genes, whichaccounted for 2.38% of genes on the microarry slides, ex hibited differentially expression at least in 5. There were166 over-expressed genes including 136 having been registered in Genebank, and 135 under-expressed genesincluding 79 in Genebank in cancerous tissues. CONCLUSION: Microarray 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 improvingearly diagnosis and discovering innovative therapeuticapproaches for cancer.