Objective To explore the effect of childhood abuse on suicidal ideation and the influencing factors among recruits.Methods Through stratified sampling,505 recruits in Nanjing were tested by childhood Trauma Questionnaire (CTQ),Simplified Coping Style Questionnaire (SCSQ),Social Support Rating Scale (SSRS),Self-rating Idea of Suicide Scale(SIOSS) and Beck Hopelessness Scale (BHS).Results 1.The scores of suicidal ideation and hopelessness in recruits who had childhood abuse were significantly higher than those in control group ((5.56±4.58) vs (2.11±2.79),(5.93±3.01)vs (3.10±2.27),P＜0.01).2.The score of positive coping in recruits who had childhood abuse was significantly lower than that in control group(18.98±6.16 vs 23.27±7.45; P＜0.05).The score of negative coping in recruits who had childhood abuse was significantly higher than that in control group(9.27±5.04 vs 23.27±7.45; P＜0.01).3.The scores of social support in recruits who had childhood abuse were significantly lower than that in control group ((69.38± 10.43),(20.16±3.97),(25.73±3.68),(22.82±5.52) vs(75.55±9.67),(23.25±2.50),(27.56±3.51),(24.67±5.33) ; P＜0.05).4.The score of total CTQ was positively correlated with suicidal ideation,hopelessness,negative coping(r=0.379,0.402,0.228; P＜0.01),but negatively correlated with active coping style,social support(r=-0.285,-0.302; P＜0.01).Conclusion The recruits who had childhood abuse are susceptible to suicidal ideation.The negative coping style and lacking of social support may be the main factors to the suicidal ideation.

BACKGROUND: Breast cancer patients who are positive for hormone receptor typically exhibit a favorable prognosis. It is controversial whether chemotherapy is necessary for them after surgery. Our study aimed to establish a multigene model to predict the relapse of hormone receptor-positive early-stage Chinese breast cancer after surgery and direct individualized application of chemotherapy in breast cancer patients after surgery. METHODS: In this study, differentially expressed genes (DEGs) were identified between relapse and nonrelapse breast cancer groups based on RNA sequencing. Gene set enrichment analysis (GSEA) was performed to identify potential relapse-relevant pathways. CIBERSORT and Microenvironment Cell Populations-counter algorithms were used to analyze immune infiltration. The least absolute shrinkage and selection operator (LASSO) regression, log-rank tests, and multiple Cox regression were performed to identify prognostic signatures. A predictive model was developed and validated based on Kaplan-Meier analysis, receiver operating characteristic curve (ROC). RESULTS: A total of 234 out of 487 patients were enrolled in this study, and 1588 DEGs were identified between the relapse and nonrelapse groups. GSEA results showed that immune-related pathways were enriched in the nonrelapse group, whereas cell cycle- and metabolism-relevant pathways were enriched in the relapse group. A predictive model was developed using three genes ( CKMT1B , SMR3B , and OR11M1P ) generated from the LASSO regression. The model stratified breast cancer patients into high- and low-risk subgroups with significantly different prognostic statuses, and our model was independent of other clinical factors. Time-dependent ROC showed high predictive performance of the model. CONCLUSIONS A multigene model was established from RNA-sequencing data to direct risk classification and predict relapse of hormone receptor-positive breast cancer in Chinese patients. Utilization of the model could provide individualized evaluation of chemotherapy after surgery for breast cancer patients.
Humans ; Female ; Breast Neoplasms/genetics* ; East Asian People ; Neoplasm Recurrence, Local/genetics* ; Breast ; Algorithms ; Chronic Disease ; Prognosis ; Tumor Microenvironment