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Objective: Centrosome aberrations and cell-cycle deregulations have important implications for the development of endometrial carcinoma. AURKA, BRCA1, CCNE1 and CDK2 genes play pivotal roles in centrosome duplication and cell-cycle regulation. This study aimed to investigate whether genetic polymorphisms in these four genes may contribute to endometrial carcinoma susceptibility and progression in Chinese Han women.
Study Design: A total of twenty-two single nucleotide polymorphisms (SNPs) were selected according to the public HapMap database (HapMap Data Release #27; Chinese Beijing population), and genotyped using TaqMan Realtime PCR method in 530 endometrial adenocarcinoma cases and 825 age-matched controls from Chinese Han women. Then, haplotype blocks were reconstructed according to our genotyping data.
Results: For AURKA, the rs911162 was associated with increased risk of endometrial carcinoma [in co-dominant model: adjusted odds ratio (aOR) = 4.92, 95% CI = 1.24-19.55, P = 0.0235]. The haplotype GA (rs6064391 + rs911162) in block 1 of AURKA was also associated with increased risk of endometrial carcinoma (aOR = 1.25, 95% CI = 1.07-2.06, P = 0.0189). For BRCA1, the minor allele homozygotes of rs8067269 could decrease the risk of endometrial carcinoma (in co-dominant models: aOR = 0.52, 95% CI = 0.34-0.80, P = 0.0032), so was the haplotype CTCAG (rs8176323 + rs8176199 + rs3737559 + rs8067269 + rs2070833) (aOR = 0.69, 95% CI = 0.50-0.95, P = 0.0234). Moreover, we found several associations between genetic variations in CCNE1, BRCA1 and AURKA and clinicopathological parameters.
Conclusions: This study indicates that genetic polymorphisms of AURKA, BRCA1 and CCNE1 may contribute to endometrial carcinoma susceptibility or progression in Chinese Han women.
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http://dx.doi.org/10.1016/j.ejogrb.2014.11.001 | DOI Listing |
J Robot Surg
September 2025
Department of Gynecologic Oncology, Moffitt Cancer Center, 12902 USF Magnolia Drive, Tampa, FL, 33612, USA.
This study was conducted to investigate the techniques and complications of enlarged uterine extraction during minimally invasive surgery for uterine malignancy. The electronic medical record was queried for patients with uterine malignancy and enlarged uterus (≥ 250 g) who underwent primary hysterectomy with laparoscopic or robotic approach. Statistical analysis was performed using Fisher's exact test for categorical variables and Kruskal-Wallis test for continuous variables.
View Article and Find Full Text PDFMed Oncol
September 2025
Department of Pharmacognosy, Faculty of Pharmacy, Mansoura University, Mansoura, 35516, Egypt.
Gynecological cancer, encompassing cancers such as endometrial and cervical cancer, is a growing concern worldwide, with a rising incidence and significant impact on women's health. Pterostilbene (PT), a natural compound, has shown promising therapeutic potential in gynecological cancer treatment. This review aims to summarize the current state of knowledge on PT's effects in gynecological cancer, focusing on its molecular mechanisms, preclinical studies, and clinical trials.
View Article and Find Full Text PDFJ Robot Surg
September 2025
Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, UT Health San Antonio, 7703 Floyd Curl Drive, 7836, San Antonio, TX, 78229-3900, USA.
To evaluate intraoperative ventilatory mechanics during robotic-assisted hysterectomy in obese women with endometrial cancer and introduce the concept of a physiologic "ceiling effect" in respiratory strain. We conducted a retrospective cohort study of 89 women with biopsy-confirmed endometrial cancer who underwent robotic-assisted total hysterectomy between 2011 and 2015. Intraoperative ventilatory parameters, including plateau airway pressure and static lung compliance, were recorded at five-minute intervals.
View Article and Find Full Text PDFAbdom Radiol (NY)
September 2025
Department of Radiology, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
Background: We aimed to develop and validate a radiomics-based machine learning nomogram using multiparametric magnetic resonance imaging to preoperatively predict substantial lymphovascular space invasion in patients with endometrial cancer.
Methods: This retrospective dual-center study included patients with histologically confirmed endometrial cancer who underwent preoperative magnetic resonance imaging (MRI). The patients were divided into training and test sets.
J Pathol
September 2025
Department of Biomedical Sciences, Cornell University, Ithaca, NY, USA.
Serous endometrial carcinoma (SEC) is one of the most lethal types of uterine cancer, responsible for about 40% of all endometrial cancer-related deaths. Cell state dynamics during the early stages of SEC remain largely unknown, thereby hindering early detection and treatment of this disease. Here, we provide a comprehensive census of cell types and their states for normal, predysplastic, and dysplastic endometrium in a genetic mouse model of SEC.
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