RESUMO
ABSTRACT Objective: Despite the treatment of anovulation, infertility is still one of the main complications in PCOS women during reproductive age, which appears to be mainly due to impaired uterine receptivity. This study investigated the transcriptome profiles of endometrium in PCOS patients and healthy fertile individuals as the control group. Material and methods: Total mRNA was extracted from endometrial tissues of PCOS patients (n = 12) and healthy fertile individuals (n = 10) during the luteal phase. After cDNA synthesis, PCR array was performed using Human Female Infertility RT² Profiler PCR Array kit (Qiagen, Cat. No: PAHS-164Z) for evaluating expression of 84 genes contributing to the female infertility. Results: PCR Array data analysis identified significantly greater expression of CSF, IL11, IL15, IL1r1, IL1b, TNF, LIF, TNFRSF10B, TGFβ, C3, ITGA4 (Cd49d), SPP1, and Calca in PCOS women than in controls (P < 0.05). However, the expression of LIFR, C2, CD55, CFD, CALCA, LAM1, LAMC2, MMP2, MMP7, MMP9, ESR, SELL, ITGB3, and VCAM1 was significantly lower in PCOS group than in controls (P < 0.05). The results revealed dysregulation of immune-inflammatory molecules, complement activation and downregulation of IGF-I as well as adhesion molecules in PCOS group. Conclusion: The findings of this study indicated some potential causes of reduced receptivity of endometrium thus compromising the fertility in PCOS patients.
RESUMO
Objective: Despite the treatment of anovulation, infertility is still one of the main complications in PCOS women during reproductive age, which appears to be mainly due to impaired uterine receptivity. This study investigated the transcriptome profiles of endometrium in PCOS patients and healthy fertile individuals as the control group. Methods: Total mRNA was extracted from endometrial tissues of PCOS patients (n = 12) and healthy fertile individuals (n = 10) during the luteal phase. After cDNA synthesis, PCR array was performed using Human Female Infertility RT2 Profiler PCR Array kit (Qiagen, Cat.No: PAHS-164Z) for evaluating expression of 84 genes contributing to the female infertility. Results: PCR Array data analysis identified significantly greater expression of CSF, IL11, IL15, IL1r1, IL1b, TNF, LIF, TNFRSF10B, TGFß, C3, ITGA4 (Cd49d), SPP1, and Calca in PCOS women than in controls (P < 0.05). However, the expression of LIFR, C2, CD55, CFD, CALCA, LAM1, LAMC2, MMP2, MMP7, MMP9, ESR, SELL, ITGB3, and VCAM1 was significantly lower in PCOS group than in controls (P < 0.05). The results revealed dysregulation of immune-inflammatory molecules, complement activation and downregulation of IGF-I as well as adhesion molecules in PCOS group. Conclusion: The findings of this study indicated some potential causes of reduced receptivity of endometrium thus compromising the fertility in PCOS patients.
RESUMO
Higher tumor size correlates with poor prognosis and is an independent predictive survival factor in oral squamous cell carcinoma (OSCC) patients. However, the molecular events underlining OSCC tumor evolution are poorly understood. We aimed to investigate if large OSCC tumors show different cell cycle gene transcriptional signature compared to small tumors. Seventeen fresh OSCC tumor samples with different tumor sizes (T) were included in the study. Tumors were from the tongue or from the floor of the mouth, and only three patients were nonsmokers. Samples were categorized according to clinical tumor size in tumors ≤2 cm (T1, n = 5) or tumors >2 cm (T2, n = 9; T3, n = 2; T4, n = 1). The group of tumors ≤2 cm was considered the reference group, while the larger tumors were considered the test group. We assessed the expression of 84 cell cycle genes by qRT-PCR array and normalized it to the expression of two housekeeping genes. Results were analyzed according to the formula 2(^-DeltaCt). A five-fold change cutoff was used, and p values <0.05 were considered statistically significant. Ki-67 immunohistochemistry was performed to estimate cell proliferation index. Twenty-nine genes were downregulated in the test group (larger tumors) compared to the reference group (smaller tumors). Among these genes, 13 reached statistical significance: ANAPC4, CUL1, SUMO1, KPNA2, MAD2L2, CCNG2, E2F4, NBN, CUL2, PCNA, TFDP1, KNTC1, and ATR. Ki-67 labeling index was similar in both tumor groups. Our findings suggest that the transcriptional activity of specific cell cycle genes varies according to the size of OSCC tumor, which probably reflects tumor molecular evolution and adaptation to the microenvironment.