PURPOSE: This study utilized mRNA differential display and the Gene Ontology (GO) analysis to characterize the multiple interactions of a number of genes with gene expression profile involved in squamous cell cervical carcinoma. METHODS: mRNA differential displays were used to identify potential transcripts that were differentially expressed between cervix cancers of 13 patients (invasive cancer stages Ib-IIb) and universal reference RNAs comprised of 17 different normal cervixes. Aberrant bands were excised and used to make cDNA, which was sequenced. DNA sequences were compared to other nucleic acids in the NCBR database for homology. Transcript expression was verified in select samples using RT-PCR and North blotting. The specific functions were correlated with gene expression patterns via gene ontology. RESULTS: Fifty-eight genes were up- or down-regulated above 2-fold and organized into reciprocally dependent sub-function sets depending on the cervical cancer pathway. The GO analysis showed that squamous cell cervical carcinogenesis underwent complete up-regulation of cell cycle, transport, epidermal differentiation, protein biosynthesis, and RNA metabolism. Also, genes belonging to protein metabolism and catabolism activity were significantly up-regulated. In contrast, significant down-regulation was shown in muscle development, cell adhesion, and damaged DNA binding activity. CONCLUSION: The GO analysis can overcome the complexity of the gene expression profile of the squamous cell cervical carcinoma-associated pathway and identify several cancer-specific cellular processes as well as genes of unknown function. Also, GO analysis can serve as a powerful basis for a molecular classification of carcinogenesis.
PURPOSE: This study utilized mRNA differential display and the Gene Ontology (GO) analysis to characterize the multiple interactions of a number of genes with gene expression profile involved in squamous cell cervical carcinoma. METHODS: mRNA differential displays were used to identify potential transcripts that were differentially expressed between cervix cancers of 13 patients (invasive cancer stages Ib-IIb) and universal reference RNAs comprised of 17 different normal cervixes. Aberrant bands were excised and used to make cDNA, which was sequenced. DNA sequences were compared to other nucleic acids in the NCBR database for homology. Transcript expression was verified in select samples using RT-PCR and North blotting. The specific functions were correlated with gene expression patterns via gene ontology. RESULTS: Fifty-eight genes were up- or down-regulated above 2-fold and organized into reciprocally dependent sub-function sets depending on the cervical cancer pathway. The GO analysis showed that squamous cell cervical carcinogenesis underwent complete up-regulation of cell cycle, transport, epidermal differentiation, protein biosynthesis, and RNA metabolism. Also, genes belonging to protein metabolism and catabolism activity were significantly up-regulated. In contrast, significant down-regulation was shown in muscle development, cell adhesion, and damaged DNA binding activity. CONCLUSION: The GO analysis can overcome the complexity of the gene expression profile of the squamous cell cervical carcinoma-associated pathway and identify several cancer-specific cellular processes as well as genes of unknown function. Also, GO analysis can serve as a powerful basis for a molecular classification of carcinogenesis.