Altered transforming growth factor-beta pathway expression pattern in rat endometrial cancer

Transcriptional profiling of host gene expression in chicken liver tissues infected with oncogenic Marek's disease virus

Marek's disease virus (MDV), one of the most potent oncogenic herpesviruses, leads to highly contagious immunosuppressive and neoplastic disease in susceptible chickens. Previous studies mainly focused on the roles of host genes modulated by MDV in the virological rather than the neoplastic stage of disease. To investigate the molecular mechanisms of tumorigenesis in Marek's disease further, a microarray analysis with Affymetrix Gene-Chip Chicken Genome Arrays was performed in a non-lymphoid tissue liver during the neoplastic stage. Of the 32 773 chicken transcriptions arrayed on a chip, 269 genes were significantly differentially expressed during the neoplastic stage caused by MDV infection (upregulated, 175; downregulated, 94). The altered genomic expression of 15 randomly selected genes was confirmed by real-time RT-PCR. Biological functions and pathways of the group of 269 differentially expressed genes were analysed by using a bioinformatics tool (ipa, Ingenuity Pathway Analysis). The results revealed that 19 possible gene networks with intermolecular connections and 22 significant metabolic and signalling pathways (P≤0.05) among 137 differentially expressed genes. These 137 genes were classified into a number of functional groups that included genetic disorder, cancer, cellular growth and proliferation, and cell death. In summary, the investigation of global host-gene expression, providing the biological functions of differentially expressed genes in lymphoid tumours of the liver in response to MDV infections, may contribute to a basic understanding of the molecular mechanisms involved in tumorigenesis following MDV infection.

Gene expression profiling predicts a three-gene expression signature of endometrial adenocarcinoma in a rat model

Background

In the Western world, endometrial cancers are the most common gynaecological neoplastic disorders among women. Initial symptoms are often vague and may be confused with several other conditions or disorders. Thus, there is a need for an easy and reliable diagnostic tool. The objective of this work was to identify a gene expression signature specific for endometrial adenocarcinomas to be used for testing potential endometrial biomarkers.

Results

Changes in expression between endometrial adenocarcinomas and non-/pre-malignant endometrium from the BDII EAC rat model were compared in cDNA microarray assays. By employing classification analysis (Weka) on the expression data from approximately 5600 cDNA clones and TDT analysis on genotype data, we identified a three-gene signature (Gpx3, Bgn and Tgfb3). An independent analysis of differential expression, revealed a total of 354 cDNA clones with significant changes in expression. Among the 10 best ranked clones, Gpx3, Bgn and Tgfb3 were found.

Conclusion

Taken together, we present a unique data set of genes with different expression patterns between EACs and non-/pre-malignant endometrium, and specifically we found three genes that were confirmed in two independent analyses. These three genes are candidates for an EAC signature and further evaluations of their involvement in EAC tumorigenesis will be undertaken.