The dysregulation of fibroblast growth factor (FGF) signaling has been implicated in tumorigenesis, tumor progression, angiogenesis, and chemoresistance. The small-molecule AZD4547 is a potent inhibitor of FGF receptors. This study was performed to investigate the antitumor effects and determine the mechanistic details of AZD4547 in ovarian cancer cells. AZD4547 markedly inhibited the proliferation and increased the apoptosis of ovarian cancer cells. AZD4547 also suppressed the migration and invasion of ovarian cancer cells under nontoxic conditions. Furthermore, it attenuated the formation of spheroids and the self-renewal capacities of ovarian cancer stem cells and exerted an antiangiogenic effect. It also suppressed in vivo tumor growth in mice. Collectively, this study demonstrated the antitumor effect of AZD4547 in ovarian cancer cells and suggests that it is a promising agent for ovarian cancer therapy.

Background: Cervical cancer is one of the leading causes of death in women. Among the sodium ion channels associated with cancer development, voltage gated sodium channel plays an important role in pathophysiology of cervical cancer; however, the clinicopathological implication of epithelial sodium channel (ENaC) has not been explored. Purpose: This study focused on identifying dysregulation of ENaC encoding genes, including SCNN1A, SCNN1B, and SCNN1G, and their relationship with clinicopathologic features in cervical cancer patients. Materials and Methods: RNA sequencing data of ENaC-encoding genes, clinicopathologic data, and survival data of cervical cancer patients were obtained from The Cancer Genome Atlas cohort. Microarray data of ENaC-encoding genes were obtained from Gene Expression Omnibus datasets: GSE6791 and GSE63514. Results: The expression levels of SCNN1A, SCNN1B, and SCNN1G were positively correlated with each other. SCNN1A, SCNN1B, and SCNN1G are significantly overexpressed in normal tissues than in tumor tissues. Survival analysis showed that simultaneous overexpression of all three genes associated with better overall survival (OS). Each overexpression of SCNN1B and SCNN1G was significantly associated with better OS. Moreover, each expression level of SCNN1A, SCNN1B, and SCNN1G was negatively correlated with histologic grade of tumor. Conclusion: ENaC-encoding genes might be potential biological markers to better predict survival outcomes in cervical cancer patients.

This study aimed evaluate the feasibility of modified laparoscopic transabdominal cervicoisthmic cerclage (LTCC) and its impact on recurrent pregnancy loss (RPL) and is a retrospective observational cohort study of patients who underwent modified LTCC from 2003 to 2018 (n = 299). The surgery was performed at a mean gestational age of 12.5 weeks (range 10.5–17.5 weeks). Of the 299 patients, 190 were reported as having undergone abortion (one abortion: 91 (47.9%), two: 59 (31.1%), three or more: 40 (21.1%)) before the present pregnancy and prior to the surgery. The mean operation time was 47.4 min (range 15–100 min). We followed up with 205 of 299 patients and recorded their obstetric outcomes. There were 176 successful deliveries via cesarean section, and the fetal survival rate was 85.9% (176/205). The results of this study suggest that modified LTCC is a safe and feasible surgical option during pregnancy for patients with a history of RPL due to cervical factors.

Background: The mainstay of treatment for early-stage cervical cancer is surgery; we present a 5-year experience of robotic single-site radical hysterectomy (RSRH) focused on surgical and oncologic outcomes. Methods: This retrospective study included 44 cases of RSRH performed in patients with early-stage cervical cancer. Results: The median follow-up period for the 44 patients was 34 months. The mean total operation time was 156.07 ± 31.77 min, while mean console time was 95.81 ± 24.95 min. Two cases had complications, which required surgical management, while four cases (9.1%) exhibited recurrence. The disease-free survival rate at 5 years was 90.9%. The sub-division analysis showed that Stage Ia2 and stage Ib1 patient sub-group showed better DFS than that of the stage Ib2 patient sub-group. The learning curve analysis showed that the CUSUM-T initially peaks at the sixth case then gradually decreases before rising and peaking at the 24th case. After 24th case, the CUSUM-T gradually decreases and reaches zero. Conclusion: The surgical outcomes of RSRH for early-stage cervical cancer treatment were safe and acceptable. However, RSRH could be considered carefully only in well-selected patient groups. Large-scale prospective studies are necessary in the future to validate the results.

Background and objectives: Ovarian cancer is one of the leading causes of death among women worldwide. Most newly diagnosed ovarian cancer patients are diagnosed in advanced stages of the disease. Despite various treatments, most patients with advanced stage ovarian cancer, including serous ovarian cancer (the most common subtype of ovarian cancer), experience recurrence, which is associated with extremely poor prognoses. In the present study, we aimed to identify core genes involved in ovarian cancer and their associated molecular mechanisms, as well as to investigate related clinicopathological implications in ovarian cancer. Materials and methods: Three gene expression cohorts (GSE14407, GSE36668, and GSE38666) were obtained from the Gene Expression Omnibus databases to explore potential therapeutic biomarkers for ovarian cancer. Nine up-regulated and six down-regulated genes were screened. Three publicly available gene expression datasets (GSE14407, GSE36668, and GSE38666) were analyzed. Results: A total of 14 differently expressed genes (DEGs) were identified, among which nine genes were upregulated (BIRC5, CDCA3, CENPF, KIF4A, NCAPG, RRM2, UBE2C, VEGFA, and NR2F6) and were found to be significantly enriched in cell cycle regulation by gene ontology analysis. Further protein–protein interaction network analysis revealed seven hub genes among these DEGs. Moreover, Kaplan–Meier survival analysis showed that a higher expression of CDCA3 and UBE2C was associated with poor overall patient survival regardless of tumor stage and a higher tumor histologic grade. Conclusion: Altogether, our study suggests that CDCA3 and UBE2C may be valuable biomarkers for predicting the outcome of patients with advanced serous ovarian cancer.

Endometrial cancer (EC) is one of the most pervasive malignancies in females worldwide. HOXA5 is a member of the homeobox (HOX) family and encodes the HOXA5 protein. HOXA5 is associated with various cancers; however, its association with EC remains unclear. This study aimed to determine the association between HOXA5 gene expression and the prognosis of endometrioid adenocarcinoma, a subtype of EC (EAEC). Microarray data of HOXA5 were collected from the Gene Expression Omnibus datasets, consisting of 79 samples from GSE17025 and 20 samples from GSE29981. RNA-sequencing, clinical, and survival data on EC were obtained from The Cancer Genome Atlas cohort. Survival analysis revealed that HOXA5 overexpression was associated with poor overall survival in patients with EAEC (p = 0.044, HR = 1.832, 95% CI = 1.006–3.334). Cox regression analysis revealed that HOXA5 was an independent risk factor for poor prognosis in EAEC. The overexpression of HOXA5 was associated with a higher histological grade of EAEC, and it was also associated with TP53 mutation or the high copy number of EC. Our findings suggest the potential of HOXA5 as a novel biomarker for predicting poor survival outcomes in patients with EAEC.