Background: Cervical squamous cancer (CESC) is an intractable gynecological malignancy because of its high mortality rate and difficulty in early diagnosis. Several biomarkers have been found to predict the prognose of CESC using bioinformatics methods, but they still lack clinical effectiveness. Most of the existing bioinformatic studies only focus on the changes of oncogenes but neglect the differences on the protein level and molecular biology validation are rarely conducted. Methods: Gene set data from the NCBI-GEO database were used in this study to compare the differences of gene and protein levels between normal and cancer tissues through significant pathway selection and core gene signature analysis to screen potential clinical biomarkers of CESC. Subsequently, the molecular and protein levels of clinical samples were verified by quantitative transcription PCR, western blot and immunohistochemistry. Results: Three differentially expressed genes (RFC4, MCM2, TOP2A) were found to have a significant survival (P < 0.05) and highly expressed in CESC tissues. Molecular biological verification using quantitative reverse transcribed PCR, western blotting and immunohistochemistry assays exhibited significant differences in the expression of RFC4 between CESC and para-cancerous tissues (P < 0.05). Conclusion: This study identified three potential biomarkers (RFC4, MCM2, TOP2A) of CESC which may be useful to clarify the underlying mechanisms of CESC and predict the prognosis of CESC patients.

Objective: Endometrial cancer (EC) is a common gynecologic malignancy; myometrial invasion (MI) is a typical approach of EC spreads and an important index to assess tumor metastasis and outcome in EC patients. CCT7 is a member of the TCP1 chaperone family, involved in cytoskeletal protein folding and unfolding. In this study, the role of CCT7 in EC development was investigated.Methods: Clinical data for 87 EC cases and expression of CCT7 were analyzed. CCT7 was knocked out using siRNA-CCT7 in Ishikawa and RL95-2 cells, and their function about proliferation, apoptosis, and invasion was further tested. Bioinformatics methods were used to predict the potential pathways of CCT7 in EC development.Results: The rates of CCT7-positive cells in EC and adjacent normal endometrium tissues had a significant difference (67.8 vs. 51.4%, p = 0.035), and the expression rate increased from low to high pathological stage (39.7% in the I/II stage, 71.4% in the III/IV stage, p = 0.029). A similar change was found in protein level. CCT7 expression differed significantly between the deep MI group (>1/2) and the superficial MI group (≤1/2) (p = 0.039). However, there were no differences with respect to age, pathological type, and histological grade. CCT7 suppression induced a function loss in both Ishikawa and RL95-2 cells. Bioinformatics analysis demonstrated that EC patients with lower-level CCT7 expression had better overall survival (p = 0.0081). Gene ontology enrichment indicated that “RNA binding,” “Mitochondrion,” “Translation,” and “Spliceosome” were most significantly enriched potential pathways. Five hub genes, PSMA5, PSMD14, SNRPB, SNRPG, and TXNL4A, were all significantly upregulated in EC and had a positive correlation with CCT7.Conclusions:CCT7 may be involved in EC development by excessively activating tumor cell function to promote MI or distant/nodal metastasis, which may contribute to the prognosis of EC patients.

Intrauterine adhesions (IUAs) are a complex condition that frequently results in menstrual disturbances, infertility, and obstetric complications. Unfortunately, the underlying pathophysiology of IUAs remains poorly understood, and current treatments often exhibit limited efficacy. We performed the single-cell RNA-sequencing (scRNA-Seq) comparison of 5 endometrial tissues, including patients with confirmed intrauterine adhesions and healthy controls(HCs). We profiled the transcriptomes of 55,308 primary human endometrial cells isolated from healthy controls and intrauterine adhesions patients at single-cell resolution. Compared with those in HCs, the number of fibroblasts derived from IUAs significantly decreased. Further analysis found that fibroblasts subcluster 3 were enriched in the IUAs, whereas opposite in HCs. GO enrichment analysis revealed that specific genes of fibroblasts subcluster 3 were markedly involved in the positive regulation of embryonic placenta development, the response to reactive oxygen species and female pregnancy, and the positive regulation of the mitotic DNA damage checkpoint and DNA damage response. In addition, the proportion of proliferating endothelial cells was significantly lower in IUAs. GO enrichment analysis revealed that the specific genes were markedly involved in the positive regulation of cell cycle arrest, the cellular response to interferon − gamma and the negative regulation of the mitotic cell cycle. According to the number of intercellular receptor–ligand pairs, we identified endothelial cells as the core cell population. Our study provides deeper insights into the endometrial microenvironment disorders that are potentially applicable to improving therapeutics for IUAs.

Purpose: To identify prognostic factors in patients with borderline ovarian tumor (BOT) and establish and validate a nomogram predicting recurrence in BOT patients treated with fertility-preserving surgery. Patients and Methods: Patients with BOT who underwent surgery at two institutions between January 2000 and June 2017 were included and categorized into training and validation cohorts. Univariate log rank test and Cox regression analysis were performed in the training cohort to identify prognostic factors, and a nomogram was developed to predict the recurrence rate. The model was validated by calculating the C-index and drawing the calibration curve and receiver operating curve (ROC). Conclusion: In the multivariate Cox regression analysis, practice period, past history of benign ovarian disease, past history of benign breast disease, elevated CA125 levels, elevated CA199 levels, surgical methods, greater omentum resection, FIGO stage, postoperative pregnancy, and re-operation were independently associated with recurrence-free survival (p< 0.05). The aforementioned prognostic factors were used to develop a nomogram. The nomogram demonstrated a good ability to predict the risk of recurrence (training cohort C-index: 0.866, validation cohort C-index: 0.920). The calibration curve suggested that the predicted recurrence-free survival was closely related to the actual recurrence. ROC analysis showed that the nomogram had a good discriminatory power with the area under curve between 0.776 and 0.956. The nomogram can predict the 1-, 3-, and 5-year recurrence-free survival of BOT patients undergoing fertility-preserving surgery. The predictive model can help guide surgical plans, postoperative monitoring, and prognostic evaluation of BOT patients.

Purpose: Aimed to examine the relationship between Individual participation, social support, self-efficacy and career planning among medical students of obstetrics and gynecology. Patients and Methods: Utilizing a cross-sectional survey, We evaluated 292 medical students specializing in obstetrics and gynecology across various educational stages. Questionnaires measured academic self-efficacy, social support, personal involvement, and career planning. We applied descriptive statistics, linear regression, and mediation effect analyses with the SPSS AU tool. Results: This study evaluated the career planning status of 292 medical students rotating through obstetrics and gynecology at various educational stages using a cross-sectional survey. Linear regression analysis revealed that age has a negative impact on career planning scores, with each additional year reducing the score by an average of 0.065 points. Gender (with males scoring lower) and residence (with students from rural areas scoring higher) also had significant effects (all p < 0.05). Positive factors included self-efficacy in academic ability, career planning guidance from parents and friends, participation in career planning-related training, medical practice projects, and medical competitions, all of which significantly and positively influenced career planning scores, the aforementioned factors account for 40.5% of the variation in career planning. Mediation effect analysis showed that social support and personal participation have significant indirect effects on career planning through self-efficacy, accounting for 7.746% and 5.338% of the total effect, respectively, and both have significant direct positive impacts on career planning, with total effects of 0.526 (95% CI [0.393, 0.658], p = 0.000 < 0.001) and 0.470 (95% CI [0.292, 0.648], p = 0.000 < 0.001), respectively. These results highlight the importance of enhancing social support and personal participation to improve career planning capabilities among medical students (all p < 0.05). Conclusion: Enhancing social support and personal participation can improve career planning capabilities in medical students by boosting self-efficacy.