摘要
Objective: To identify new markers for prediction of lymph node metastasis. Methods: cDNA probeswere prepared by labeling mRNA from samples of four pancreatic carcinoma tissues with Cy5-dUTP andmRNA from adjacent normal tissues with Cy3-dUTP respectively through reverse transcription. The mixedprobes of each sample were then hybridized with 4,096 cDNA arrays (4,000 unique human cDNA sequences), and the fluorescent signals were scanned by ScanArray 3000 scanner (General Scanning, Inc.). The values ofCy5-dUTP and Cy3-dUTP on each spot were analyzed and calculated by ImaGene 3.0 software (BioDiscovery, Inc.). Genes that differentially expresses in eachcancerous tissue were sought out according to thestandard that the absolute value of natural logarithm of the ratio of Cy5 to Cy3 is greater than 0.69, i. e., more than 2 times change of gene expression, and the signal value of either Cy3 and Cy5 need to be greater than600. Then, the genes differently expressed in cancerwith and without lymphatic metastasis were screenedout for further analysis. Results: Among 2 samples with lymphatic metastasis and 2 samples without metastasis, 56 genes, which accounted for 1.40% of genes on the microarray slides, exhibited differentially expression in cancerous tissues with lymphatic metastasis. There were 32 over-expressed genes including 11 having beenregistered in Genebank, and 24 under-expressed genes including 3 in Genebank. Conclusion: Microarray analysis may provide invaluable information to identify specific gene expression profile of lymphatic metastasis in pancreatic cancer.
Objective: To identify new markers for prediction of lymph node metastasis. Methods: cDNA probeswere prepared by labeling mRNA from samples of four pancreatic carcinoma tissues with Cy5-dUTP andmRNA from adjacent normal tissues with Cy3-dUTP respectively through reverse transcription. The mixedprobes of each sample were then hybridized with 4,096 cDNA arrays (4,000 unique human cDNA sequences), and the fluorescent signals were scanned by ScanArray 3000 scanner (General Scanning, Inc.). The values ofCy5-dUTP and Cy3-dUTP on each spot were analyzed and calculated by ImaGene 3.0 software (BioDiscovery, Inc.). Genes that differentially expresses in eachcancerous tissue were sought out according to thestandard that the absolute value of natural logarithm of the ratio of Cy5 to Cy3 is greater than 0.69, i. e., more than 2 times change of gene expression, and the signal value of either Cy3 and Cy5 need to be greater than600. Then, the genes differently expressed in cancerwith and without lymphatic metastasis were screenedout for further analysis. Results: Among 2 samples with lymphatic metastasis and 2 samples without metastasis, 56 genes, which accounted for 1.40% of genes on the microarray slides, exhibited differentially expression in cancerous tissues with lymphatic metastasis. There were 32 over-expressed genes including 11 having beenregistered in Genebank, and 24 under-expressed genes including 3 in Genebank. Conclusion: Microarray analysis may provide invaluable information to identify specific gene expression profile of lymphatic metastasis in pancreatic cancer.
