BackgroundPositive traits, such as life satisfaction, optimism, and core self-evaluation (CSE), have garnered increasing attention from researchers and professionals. However, the trilateral relationship among them remains unclear.ObjectiveThis study examines the effect of dispositional optimism on life satisfaction and primarily verified the mediator role of CSEs.MethodsSix hundred thirty college students from two general universities completed a questionnaire packet containing life orientation test–revised (LOT–R), core self-evaluations, and satisfaction with life scale. Confirmatory factor analysis (CFA) was conducted to assess the dimension of LOT–R. Bootstrap was used in structural equation modeling to analyze mediation effect.ResultsResults revealed that dispositional optimism and core self-evaluations were significantly correlated with life satisfaction. CFA identified the bidimensional structure of dispositional optimism. SEM indicated that core self-evaluations partially mediated the effect of dispositional optimism on life satisfaction. The final model also revealed significant paths from optimism and pessimism to life satisfaction through core-self evaluations.ConclusionThe findings extended prior studies and shed light on how dispositional optimism influences life satisfaction. This study provides valuable evidence on how to promote the life satisfaction of human beings in positive psychology. A further study can fully explore the relationship among them in multi-cultural follow-up studies.
Lung cancer remains a leading cause to cancer‐related death worldwide. The anti‐cancer ability of microRNA‐144‐3p has been reported in many cancer types. This study focused on the mechanisms underlying miR‐144‐3p in inhibiting lung cancer. The expression levels of miR‐144‐3p and steroid receptor coactivator (Src) in different lung cancer cell lines and those in bronchial epithelial cells (16HBE) were compared. miR‐144‐3p mimic and siSrc were transfected into A549 cells. Under the conditions of transforming growth factor‐β1 (TGF‐β1). Small interfering transfection or TGF‐β1 treatment, cell invasive and adhesive abilities were analyzed by Transwell and cell adhesion assays. miR‐144‐3p inhibitor and siSrc were co‐transfected into A549 cells and the changes in cell invasion and adhesion were detected. The activation of Src–protein kinase B–extracellular‐regulated protein kinases (Src–Akt–Erk) pathway was determined using Western blot. The downregulated miR‐144‐3p and upregulated Src were generally detected in lung cancer cell lines and were the most significant genes in A549 cells. Both miR‐144‐3p overexpression and Src inhibition could obviously inhibit the invasion and adhesion abilities of A549 cells in the presence or absence of the effects of TGF‐β1. The inhibition of Src could block the promotive effects of miR‐144‐3p inhibitor and TGF‐β1 on cell invasion and adhesion. Furthermore, we found that miR‐144‐3p could negatively regulate the phosphorylation levels of Akt and Erk. Our data indicated the essential role of Src in the mechanisms underlying TGF‐β1‐induced cell invasion and adhesion of lung cancer, and that miR‐144‐3p could effectively suppress TGF‐β1‐induced aggressive lung cancer cells by regulating Src expression.
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Background TP53 mutations are frequent in non‐small cell lung cancer (NSCLC). Different categories of TP53 mutations may be associated with survival in advanced NSCLC, but their effect on prognosis is diverse. To date, a comprehensive comparison of the relationship between different classes of TP53 alterations and survival in advanced NSCLC has rarely been performed. Moreover, the prognostic significance of a novel approach called the evolutionary action of TP53 (EAp53) in advanced NSCLC is unclear. Methods A total of 210 patients with NSCLC harboring TP53 mutation data were enrolled. Genomic and clinical data for the Memorial Sloan Kettering Cancer Center (MSKCC) cohort with advanced NSCLC were obtained from cBioPortal. Relationship between clinical characteristics and TP53 mutations was performed by Fisher's exact test or χ 2 test. Overall survival (OS) analysis was evaluated using Kaplan–Meier method and Cox proportional hazards regression model. Results TP53 mutations were identified in 51.4% of NSCLC patients and were mainly located in exons 5, 7, and 8. The distribution patterns of missense and truncating mutations of TP53 were remarkably different. Among patients with advanced NSCLC who never received immune checkpoint inhibitor treatments, EAp53 high‐risk mutations were significantly associated with poor OS in both our cohort and the MSKCC cohort. Moreover, marked differences were observed in the mutational landscape between patients with EAp53 high‐risk mutations (HR group) and other patients (OT group). The HR group displayed higher mutation frequencies in the RTK, cell cycle, and DNA damage repair (DDR) pathways than the OT group. In addition, the tumor mutation burden in the HR group was significantly higher than that in the OT group. Conclusions This study provided important insights into the molecular‐clinical profile of TP53 ‐mutated NSCLC patients. Moreover, the data revealed that EAp53 high‐risk mutations were an independent prognostic factor for worse OS in advanced NSCLC.
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