Analysis About Differential Expression Of MicroRNAs In Endomertrioid Endometrial Adenocarcinoma And Their Predicted Targets

Background and Objective:Endometrial carcinoma is one of the most common gynecological malignant tumors. The incidence of endometrial carcinoma in America and European countries ranks first in the gynecologic malignancy. In China, this disease is the second common gynecologic malignancy and ranks after cervical cancer. And its incidence is increasing year by year. As a disease does great harm to women's health, about 85%-90% of all endometrial carcinomas are estrogen-related endometrial cancer (type I). And most of type I endomtetrial cancer cases are endometrioid endometrial adenocarcinoma(EEC). Excessive stimulation of estrogen, obesity, hypertension, diabetes, infertility and other factors are considered related to the tumorigenesis of endometrial cancer currently, but the mechanism is unclear. So, it is meaningful to explore the pathogenesis of endometrial cancer, especially EEC.MicroRNA is a class of non-proteincoding, single-stranded small RNAs of 22-25 nucleotides length. They can regulate multiple target genes. In mammals, target gene expression is repressed by post-transcriptionally. And it takes part in many physiological processes including body growth and development, hematopoiesis, organ formation, cell proliferation, apoptosis even tumorigenesis. In recent years, there are many studies on the relationship between microRNA and tumorgenesis. But few of them referred EEC.In our study, differential expression microRNAs profile was detected from EEC compared with normal endometrium. Then targets of these differential expression microRNAs were predicted through web databases. Prediction analysis for microarray (PAM) was used for the first time to predict a group of microRNA biomarkers. These markers could be used to identify different differentiation of EEC.Methods:MicroRNA microarray was used to detect the differential expression microRNAs, and real time RT-PCR was used to verify the results. Then targets of these microRNAs in EEC were predicted through web databases. PAM was used to predict a group of microRNA biomarkers, which could be used to identify differentiation of EEC.Results:18 obviously up-regulated and 31 obviously down-regulated microRNAs in tumor group were identified.51 genes were predicted as targets of these dysregulated microRNAs. Mir-200c and other 8 microRNAs were considered as members of the biomarkers that could identify differentiation. Many members from same microRNA families (microRNA cluster) changed at the same time in EEC.Conclusion:Several microRNAs were found have special changes in EEC and these microRNAs and their predicted targets might play an important role in EEC. There were a lot of collective microRNAs from the family changed together in EEC in our study. They could co-express the same role in tumorigenesis. The predicted targets of dysregulated microRNA in EEC just like PTEN and FOX might be regulated by microRNA and took part in tumorigenesis.