R Mitry | PubMed Health

PubMed2001

Profiling the adult human liver transcriptome: analysis by cDNA array hybridization.

BACKGROUND/AIMS: A comprehensive profile of genes expressed at the mRNA level (transcriptome) in human liver tissue is important for elucidating the pathogenesis and treatment of hepatic diseases. The recent development of cDNA array hybridization allows the parallel monitoring of thousands of genes expressed in a single organ. METHODS: High-density microarrays containing 4043 known and unique human cDNA gene targets were used to quantitatively analyze the expression of genes in human livers. Expressed gene transcripts were classified by function and listed with information of their chromosomal positions. Computational analysis was used to cluster genes according to similarity in pattern of gene expression. RESULTS: A total of 2418 unique gene transcripts were detected in five liver specimens. Through relational database analysis, we determined 1212 genes that were commonly expressed in 4 of the five liver specimens. Furthermore, analysis of the total 2418 expressed genes by self-organizing maps and hierarchical clustering unexpectedly revealed a genomic acute phase response in two of the liver specimens. CONCLUSIONS: These findings represent a comprehensive preliminary molecular index of genes transcribed in the adult human liver. The information may serve as a resource for speeding up the discovery of genes underlying human hepatic diseases.

Adult↗

PubMed2000

Microsatellite instability and allelic imbalance in primary and secondary colorectal cancer.

BACKGROUND: Several studies of colorectal cancer have shown an association between the number and type of genomic defects and the stage of disease. A subset of colorectal tumours are due to inactivation of DNA mismatch repair genes and these tumours exhibit microsatellite instability. The aim of the present study was to compare and contrast the genomic defects present in both the primary and metastatic stages of the disease using microsatellite probes. METHODS: Modifications of the allelic profiles of 25 microsatellite regions were studied in a total of 85 colorectal tumours using fluorescent polymerase chain reaction (PCR) technology and subsequent direct analysis on an automatic sequencer. This approach was used because it allows the study of microsatellite instability and allelic imbalance. Stepwise logistic regression analysis was used to develop a model to predict whether the tumour was primary or secondary from the percentage of allelic imbalance. Subsequently, a group of 17 patients with primary colorectal tumours was analysed prospectively to test the proposed model. RESULTS: Six of 39 primary tumours showed microsatellite instability compared to 0 of 29 liver metastases (P = 0.03). Primary tumours showed significantly less allelic imbalance than liver metastases (P < 0.001). Three probes (d18s53, d9s158 and d10s191) were selected for use in a model to classify a tumour as primary or secondary on the basis of the degree of allelic imbalance. When tested prospectively this model had a specificity of 82%. CONCLUSIONS: The present study demonstrates the potential importance of using microsatellite probes both as a diagnostic tool and as a research technique to investigate the mechanisms of tumour progression. An important clinical finding is that none of the colorectal liver metastases showed microsatellite instability (0 of 29). This analysis also confirmed other work that has shown a direct relationship between the degree of allelic imbalance and the stage of disease.

Alleles↗