Background The mortality of cervical cancer (CC) is quite high and advanced CC is hard to cure. Accordingly, to find the mechanism of CC progression at molecular level is imminent. Methods The mRNA expression data were acquired from The Cancer Genome Atlas database, and squalene epoxidase (SQLE) level in the tumor and adjuvant tissues of CC was analyzed. The pathway enrichment analysis of target mRNAs was performed based on the GSEA database. The cancerous tissues and para‐cancerous tissues of CC patients were collected for immunohistochemistry. SQLE and p53 mRNA expression was ensured by qRT‐polymerase chain reaction. SQLE and p53 protein levels were determined by western blot. Cell functional assays focused on evaluating the malignant behaviors of cancer cells in each treatment group. Nude mouse xenograft models were constructed for tumorigenicity analysis. Results Bioinformatics analysis revealed that SQLE expression was high in CC tissues, which was linked to the poor prognosis. SQLE could affect the p53 signaling pathway. Cell functional assays demonstrated that SQLE expression was promoted in CC cell lines, and overexpressing SQLE facilitated the malignant phenotypes of CC cells, whereas silencing SQLE suppressed CC progression in vitro and in vivo. Besides, the repressed p53 signaling pathway could reverse the effect caused by silenced SQLE. Conclusion SQLE could promote CC progression by modulating the p53 signaling pathway.

Background The development of core competency is crucial for the success of new nurses, enabling them to deliver high-quality care. Psychological capital (PsyCap), encompassing self-efficacy, optimism, hope, and resilience, significantly influences individuals’ abilities and achievements across various professions. However, limited research has specifically examined the impact of PsyCap on the core competency of new nurses. This study aims to bridge this gap by investigating the relationship between PsyCap and core competency development in new nurses, providing valuable strategic insights for improving PsyCap and promoting core competence acquisition. Methods 142 new nurses were chosen for the investigation using a convenient cluster sampling method. The questionnaire included components on socio-demographic characteristics, the Competency Inventory for Registered Nurses (CIRN), and the PsyCap Questionnaire-24 (PCQ-24). The t-test, One-Way ANOVA, Pearson correlation analysis and hierarchical multiple regression were used for statistical analysis. Result The number of valid questionnaires was 138, and the effective return rate was 97.2%. The overall mean score for core competencies was 171.01 (SD 25.34), and the PsyCap score was 104.76(SD 13.71). The PsyCap of new nurses was highly correlated with core competency, with a correlation coefficient of r = 0.7, p < 0.01. Self-efficacy of PsyCap is a significant independent predictor of core competency (adjust R2 = 0.49). Conclusion Self-efficacy in PsyCap is an important predictor of new nurses’ core competency. Nursing managers should pay sufficient attention to the cultivation and development of new nurses’ PsyCap, with particular emphasis on enhancing self-efficacy to improve their core competency.