%0 Journal Article %A Fatma S.A. Saghir %A Isa Mohamed Rose %A Ahmad Zailani Hatta Mohd Dali %A Zainab Shamsuddin %A A Rahman A. Jamal %A Norfilza Mohd Mokhtar %T Gene Expression Profiling and Cancer-Related Pathways in Type I Endometrial Carcinoma %D 2010 %R 10.1111/IGC.0b013e3181e1c14c %J International Journal of Gynecologic Cancer %P 724-731 %V 20 %N 5 %X Introduction: Malignant transformation of type I endometrium involves alteration in gene expression with subsequent uncontrolled proliferation of altered cells.Objective: The main objective of the present study was to identify the cancer-related genes and gene pathways in the endometrium of healthy and cancer patients.Materials and Methods: Thirty endometrial tissues from healthy and type I EC patients were subjected to total RNA isolation. The RNA samples with good integrity number were hybridized to a new version of Affymetrix Human Genome GeneChip 1.0 ST array. We analyzed the results using the GeneSpring 9.0 GX and the Pathway Studio 6.1 software. For validation assay, quantitative real-time polymerase chain reaction was used to analyze 4 selected genes in normal and EC tissue.Results: Of the 28,869 genes profiled, we identified 621 differentially expressed genes (2-fold) in the normal tissue and the tumor. Among these genes, 146 were up-regulated and 476 were down-regulated in the tumor as compared with the normal tissue (P < 0.001). Up-regulated genes included the v-erb-a erythroblastic leukemia viral oncogene homolog 3 (ErbB3), ErbB4, E74-like factor 3 (ELF3), and chemokine ligand 17 (CXCL17). The down-regulated genes included signal transducer and activator transcription 5B (STAT5b), transforming growth factor β receptor III (TGFβ3), caveolin 1 (CAV1), and protein kinase C alpha (PKCA). The gene set enrichment analysis showed 10 significant gene sets with related genes (P < 0.05). The quantitative polymerase chain reaction of 4 selected genes using similar RNA confirmed the microarray results (P < 0.05).Conclusions: Identification of molecular pathways with their genes related to type I EC contribute to the understanding of pathophysiology of this cancer, probably leading to identifying potential biomarkers of the cancer. %U https://ijgc.bmj.com/content/ijgc/20/5/724.full.pdf