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1.
Chinese Medical Journal ; (24): 566-573, 2017.
Artigo em Inglês | WPRIM | ID: wpr-303110

RESUMO

<p><b>BACKGROUND</b>At present, a diagnostic tool with high specificity for impaired endometrial receptivity, which may lead to implantation failure, remains to be developed. We aimed to assess the different endometrial microRNA (miRNA) signatures for impaired endometrial receptivity by microarray analysis.</p><p><b>METHODS</b>A total of 12 repeated implantation failure (RIF) patients and 10 infertile patients, who conceived and delivered after one embryo transfer attempt, were recruited as RIF and control groups, respectively. Endometrial specimens from the window of implantation (WOI) were collected from these two groups. MiRNA microarray was conducted on seven and five samples from the RIF and control groups, respectively. Comparative, functional, and network analyses were performed for the microarray results. Quantitative real-time polymerase chain reaction (PCR) was performed on other samples to validate the expression of specific miRNAs.</p><p><b>RESULTS</b>Compared with those in the control group, the expression levels of 105 miRNAs in the RIF group were found to be significantly up- or down-regulated (at least 2-fold) by microarray analysis. The most relevant miRNA functional sets of these dysregulated miRNAs were miR-30 family, human embryonic stem cell regulation, epithelial-mesenchymal transition, and miRNA tumor suppressors by tool for annotations of microRNA analysis. Network regulatory analysis found 176 miRNA-mRNA interactions, and the top 3 core miRNAs were has-miR-4668-5p, has-miR-429, and has-miR-5088. Expression levels of the 18 selected miRNAs in new samples by real-time PCR were found to be regulated with the same trend, as the result of microarray analysis.</p><p><b>CONCLUSIONS</b>There is a significant different expression of certain miRNAs in the WOI endometrium for RIF patients. These miRNAs may contribute to impaired endometrial receptivity.</p>


Assuntos
Adulto , Feminino , Humanos , Gravidez , Implantação do Embrião , Genética , Fisiologia , Endométrio , Metabolismo , Infertilidade Feminina , Genética , MicroRNAs , Genética , Análise em Microsséries , Reação em Cadeia da Polimerase em Tempo Real
2.
Chinese Medical Journal ; (24): 1084-1090, 2015.
Artigo em Inglês | WPRIM | ID: wpr-350347

RESUMO

<p><b>BACKGROUND</b>Ovarian cancer is a leading gynecological malignancy. We investigated the prognostic value of programmed cell death 5 (PDCD5) in patients with ovarian cancer.</p><p><b>METHODS</b>Expression levels of PDCD5 mRNA and protein were examined in six ovarian cancer cell lines (SKOV3, CAOV3, ES2, OV1, 3AO, and HOC1A) and one normal ovarian epithelial cell line (T29) using reverse transcription polymerase chain reaction, Western blotting, and flow cytometry. After inducing PDCD5 induction in SKOV3 cells or treating this cell line with taxol or doxorubicin (either alone or combined), apoptosis was measured by Annexin V-FITC/propidium iodide staining. Correlations between PDCD5 protein expression and pathological features, histological grade, FIGO stage, effective cytoreductive surgery, and serum cancer antigen-125 values were evaluated in patients with ovarian cancer.</p><p><b>RESULTS</b>PDCD5 mRNA and protein expression were downregulated in ovarian cancer cells. Recombinant human PDCD5 increased doxorubicin-induced apoptosis in SKOV3 cells (15.96 ± 2.07%, vs. 3.17 ± 1.45% in controls). In patients with ovarian cancer, PDCD5 expression was inversely correlated with FIGO stage, pathological grade, and patient survival (P < 0.05, R = 0.7139 for survival).</p><p><b>CONCLUSIONS</b>PDCD5 expression is negatively correlated with disease progression and stage in ovarian cancer. Therefore, measuring PDCD5 expression may be a good method of determining the prognosis of ovarian cancer patients.</p>


Assuntos
Adulto , Idoso , Feminino , Humanos , Pessoa de Meia-Idade , Adulto Jovem , Proteínas Reguladoras de Apoptose , Genética , Metabolismo , Linhagem Celular Tumoral , Técnicas In Vitro , Proteínas de Neoplasias , Genética , Metabolismo , Neoplasias Ovarianas , Genética , Metabolismo , Patologia , Prognóstico
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