Interplay between miRNAs and Genes Associated with Cell Proliferation in Endometrial Cancer

Abstract

Endometrial cancer develops as a result of abnormal cell growth associated with uncontrolled cell proliferation, excessive activation of signaling pathways and miRNA activity. The aim of this study was to determine the expression profile of genes associated with cell proliferation and to assess which miRNAs can participate in the regulation of their expression. The study enrolled 40 patients with endometrial cancer and 10 patients without neoplastic changes. The expression profile of genes associated with cell proliferation and the expression profile of miRNAs were assessed using microarrays. RT-qPCR was performed to validate mRNA microarray results. The mirTAR tool was used to identify miRNAs that regulate the activity of genes associated with cell proliferation. Decreased expression of IGF1 and MYLK, as well as SOD2 overexpression, were observed in endometrial cancer using both mRNA microarrays and RT-qPCR. Microarray analysis showed low levels of NES and PRKCA, but this was only partially validated using RT-qPCR. Reduced activity of MYLK may be caused by increased miR-200c, miR-155 and miR-200b expression. Cell proliferation is disturbed in endometrial cancer, which may be associated with an overexpression of miR-200a, miR-200c, and miR-155, making it a potential diagnostic marker.

MicroRNA as Epigenetic Modifiers in Endometrial Cancer: A Systematic Review

“…This systematic review identified 105 original articles and two literature reviews reporting the expression pattern of miRNAs [ 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 , 79 , 80 ,…”

“…Improved diagnosis, risk assessment, and treatment strategies based on miRNA represents a promising area but will require future research. miR-193a-3p X [109] miR-193a-5p X [169] miR-193b X [129] miR-194 X X [128,179,180] miR-195 X [118,169] miR-196a-5p X [119] miR-196b X [169] miR-197 X [87] miR-198 X [169] miR-199a-5p X [169] miR-199b-5p X [117,125,169] miR-199b-3p X [125,169] miR-199b X [121] miR-299-5p X [169] miR-301 X [51,128] miR-302a-5p X [91] miR-320a X [33] miR-325 X [128] miR-326 X X [110,128] miR-328-3p X [119] miR-330 X [128] miR-330-3p X [169] miR-331 X [54] miR-331-3p X [69] miR-335 X [39] miR-337-3p X [119] miR-337-5p X [117,169] miR-340-5p X [33] miR-361 X [66] miR-363 X [129] miR-368 X [129] miR-369 X [126] miR-370 X [117] miR-371-5p X [169] miR-373 X [97] miR-375 X…”

Identification of a five‑gene signature for predicting the progression and prognosis of stage I endometrial carcinoma

“…1 . The following datasets were downloaded from the publicly available endometrial carcinoma (EC) GEO database ( ): GSE17025 ( 31 ), GSE56026 ( 32 ) and GSE115810 ( 33 ). Datasets GSE17025 and GSE56026 were based on the Affymetrix Human Genome U133 Plus 2.0 Array, while dataset GSE115810 was based on the Affymetrix Human Genome U133A Array (both Affymetrix; Thermo Fisher Scientific, Inc.).…”

Over-expression of inositol 1,4,5-trisphosphate receptor type 3 in human endometrial cancer.

“…Thus, by mining published microarray data 5,6 in an unbiased and systematic fashion, we identified inositol 1,4,5-trisphosphate receptor type 3, encoded by ITPR3, as among the genes whose expression was most different, transcriptome-wide, in the endometrial tumor tissue of patients with endometrial cancer when compared to benign endometrial tissue; we observed significantly increased expression of ITPR3 in endometrial tumor tissue as compared to benign endometrial tissue. Further, we found a correlation between ITPR3 expression and patient survival outcomes in human endometrial cancer, as overall survival was inferior in patients whose tumors expressed higher levels of ITPR3 as compared to patients whose tumors expressed lower levels of ITPR3, in white patients with low mutational burden, but not in white patients with high mutational burden, nor in black patients with high or low mutational burden.…”

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Gynecologic cancers including cancers of the endometrium are a clinical problem [1][2][3][4] . We mined published microarray data 5,6 to discover genes associated with endometrial cancers by comparing transcriptomes of the normal endometrium and endometrial tumors from humans. We identified inositol 1,4,5-trisphosphate receptor type 3, encoded by ITPR3, as among the most differentially expressed genes, transcriptome-wide, in cancers of the endometrium.

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