Journal of Applied Genetics

Circular RNA circ_0000119 promotes cervical cancer cell growth and migration via miR-433-3p/PAK2 axis

The purpose of this study was to investigate the role of circ_0000119 on CC progression and its molecular mechanism. The expression levels of circ_0000119, miR-433-3p, and p21-activated kinase 2 (PAK2) in CC tissues and cell lines were measured by quantitative real-time polymerase chain reaction (qRT-PCR). Cell proliferation was assessed using 3-(4,5)-dimethylthiahiazo (-z-y1)-3,5-di-phenytetrazoliumromide (MTT) assay, 5-Ethynyl-2'-deoxyuridine (EdU) assay and colony formation assay. Cell cycle and apoptosis were assessed by flow cytometry. Cell migration and invasive ability were examined by Transwell assays. Downstream binding targets of circ_0000119 were predicted by online bioinformatics tools and confirmed by dual luciferase reporter gene assay, RNA immunoprecipitation (RIP) assay, and RNA pull-down assay. The role of circ_0000119/miR-433-3p/PAK2 axis in regulating the CC process was explored by rescue experiments. A xenograft model was constructed to further determine the effect of circ_0000119 on CC tumor growth in vivo. Immunohistochemistry (IHC) assay was conducted for Ki67 expression. Circ_0000119 was aberrantly upregulated in CC tissues and cell lines. Knockdown of circ_0000119 inhibited CC cell proliferation, cell cycle progress, migration, invasion, and promoted apoptosis of CC cells. MiR-433-3p was a binding target of circ_0000119, and PAK2 was a downstream gene of miR-433-3p. MiR-433-3p inhibition reversed the inhibitory effect of silencing circ_0000119 on CC progression. In addition, PAK2 overexpression reversed the effect of miR-433-3p on CC progression. PAK2 expression was regulated by circ_0000119 and miR-433-3p. Moreover, circ_0000119 knockdown reduced tumor growth of CC in vivo. Circ_0000119 was upregulated in CC, and circ_0000119 knockdown suppressed CC malignant development through the miR-433-3p/PAK2 axis.

HIF1A, EPAS1, and VEGFA: angiogenesis and hypoxia-related gene expression in endometrium and endometrial epithelial tumors

Abstract Endometrial cancer (EC) is the second most frequent gynecological malignancy and the sixth most common women’s cancer worldwide. EC incidence rate is increasing rapidly. Apart from the classical, we should consider angiogenesis and hypoxia-related genes as a reason for EC manifestation and progression. We compared the patterns of HIF1A , EPAS1 , and VEGFA (genes of interest – GOIs) mRNA expression in 92 cases. HIF1A and VEGFA levels were higher in EC patients than in controls. VEGFA differed significantly between controls and both tumor grades G2 and G3, and we observed a positive correlation for HIF1A and VEGFA with EC grading. VEGFA levels were significantly higher in post-menopausal compared to pre-menopausal patients. All GOIs demonstrated strong correlations in pre-menopausal cases and weak correlations in post-menopausal cases. A positive correlation was observed in pre-menopausal controls for all GOIs and in post-menopausal patients for only EPAS1 and VEGFA . HIF1A and EPAS1 positively correlated with VEGFA in post-menopausal EC cases. Multiple linear regression analyses revealed that menopause, body mass index (BMI), and HIF1A expression are significant stimulating factors for EC occurrence. HIF1A levels were higher in EC patients after BMI and comorbidity number adjustment. The gene-to-gene relation could be seen as either a diagnostic or a therapeutic target in EC. Physicians should inform patients about modifiable risk factors such as BMI. Second, more attention should be paid to diagnosing patients with comorbidities in older age and after menopause. These factors should be considered in designing angiogenesis and hypoxia-related gene-targeting therapies.

Role of rs2366152 single-nucleotide variant located in the long noncoding RNA HOTAIR gene in the cervical cancer susceptibility in a Polish population

AbstractPrevious studies have demonstrated an association of the NC_000012.12:g.53962605A > G, (rs2366152) single-nucleotide variant (SNV) situated in the long noncoding homeobox transcript antisense intergenic RNA (HOTAIR) gene with HPV16-related cervical cancer pathogenesis. However, little is known about the role of rs2366152 in cervical cancer progression and how oral birth control pills use, parity, menopausal status, and cigarette smoking influence the role of rs2366152 in cervical carcinogenesis. HRM analysis was used to determine the rs2366152 SNV prevalence in patients with cervical squamous cell carcinoma (SCC) (n = 470) and control group (n = 499) in a Polish Caucasian population. Logistic regression analyses were adjusted for age, using birth control pills, parity, menopausal status, and cigarette smoking. Our genetic studies revealed that the G/A vs. A/A (p = 0.031, p = 0.002) and G/A + G/G vs. A/A (p = 0.035, p = 0.003) genotypes of rs2366152 SNV were significantly related to the grade of differentiation G3 and tumor stage III, respectively. Moreover, cervical cancer risk increased among patients with rs2366152 SNV who smoked cigarettes and used birth control pills. We conclude that rs2366152 may promote the invasion and rapid growth of cervical SCC. Moreover, rs2366152 with cigarette smoking and using birth control pills can also be a risk factor for cervical cancerogenesis.

Novel targets and their functions in the prognosis of uterine corpus endometrial cancer patients

Aberrant mRNA expression is implicated in uterine corpus endometrial carcinoma (UCEC) oncogenesis and progression. However, effective prognostic biomarkers for UCEC remain limited. We aimed to construct a reliable multi-gene risk model using gene expression profiles. Utilizing TCGA data (543 UCEC samples, 35 controls), we identified 1517 differentially acting genes. Weighted gene co-expression complex analysis (WGCCA), hub gene screening, and risk regression analysis (RRA) were employed to determine prognosis-related genes and construct the risk model. Nomograms visualized risk scores and receiver operator characteristic (ROC) curves assessed model performance. Seven novel prognosis-related hub genes (ANGPT1, ASB2, GAL, GDF7, ONECUT2, SV2B, TRPC6) were identified. The model's concordance index (C index) by multivariate Cox regression analysis was 0.79. ROC curves yielded AUCs of 0.811 (3-year) and 0.79 (5-year), demonstrating the model's efficacy in predicting UCEC survival. Our study proposes a promising seven-biomarker risk model for predicting UCEC prognosis, offering potential clinical utility.