Construction and Validation of a MRI­Based Radiomic Nomogram to Predict Overall Survival in Patients with Local Advanced Cervical Cancer: A Multicenter Study.

BACKGROUND: Cervical cancer is the fourth most common cancer among women. Radiomics has emerged as a new approach providing valuable information for cancer management. The aim of this study was to construct a radiomics nomogram to accurately predict survival outcomes in patients with locally advanced cervical cancer. METHODS: This retrospective study enrolled a total of 582 locally advanced cervical cancer patients from three center (training cohort: n = 228; internal validation cohort: n = 98; external validation cohort: n = 256). Radiomic features were extracted from pretreatment MRI images. Least absolute shrinkage and selection operator logistic regression were applied to select radiomic features and calculated the radiomic scores. Univariate and multivariate Cox proportional hazards regression analyses were used to identify the independent prognostic clinic-radiological factors for cervical cancer, which were incorporated into the nomogram. RESULTS: A total of six radiomic features were found to be associated with overall survival (OS) of locally advanced cervical cancer patients. The AUC of radiomic scores in the training cohort was 0.634-0.708 for the training cohort, 0.725-0.762 for internal validation cohort and 0.788-0.881 for the external validation cohort. Age, parametrial invasion, and radiomic score were the independent prognostic indicators for cervical cancer patients (Age: HR=1.041, 95% CI=1.012-1.071, p = 0.006; Parametrial invasion: HR=4.755, 95% CI=1.493-15.144, p = 0.008; HR=2.324, 95% CI=1.050-5.143, p = 0.037). The nomogram model incorporating these factors showed favorable discrimination in predicting the overall survival rates of cervical cancer patients, with the AUC values of 0.809, 0.808, and 0.862 for 1-, 2-, and 3-year predictions. The decision curve analysis (DCA) indicated that the nomogram model achieved the highest clinical net benefit across the entire range of reasonable threshold probabilities. CONCLUSION: The nomogram, incorporating clinicopathological factors and radiomic features derived from MRI images, showed satisfactory discrimination in predicting the OS rates of locally advanced cervical cancer patients.

Effects of the timing of maternal SARS-CoV-2 infection and vaccination status on placental transfer of antibodies to neonates: a cross-sectional study.

OBJECTIVE: To assess the effects of timing of maternal severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and vaccination status on placental transfer of antibodies to neonates. METHODS: In this cross-sectional study, chemiluminescence was employed to measure SARS-CoV-2 IgG antibody titers in paired maternal-infant samples from women infected during pregnancy who were vaccinated or unvaccinated. Generalized linear regression assessed factors affecting antibody transfer in infected pregnant women and neonatal titers. RESULTS: The group with ≥90 days between infection and delivery showed a higher antibody transfer rate than the <90 days group(ß= 0.33, 95%CI: 0.01-0.65). Neonatal IgG titers correlated significantly with maternal titers and with maternal infections more than 90 days before delivery. Among infected pregnant women, those who had received two or three doses of vaccine before pregnancy had higher neonatal antibody titers than those who were not vaccinated (ß = 57.70, 95%CI: 31.33-84.07). CONCLUSION: Neonates born to pregnant women who were vaccinated before infection showed higher antibody titers than neonates of pregnant women who were not vaccinated before infection. The transfer rate is higher in pregnant women with ≥90 days from infection to delivery than in those with <90 days. These findings highlight the importance of timely maternal vaccination to optimize maternal and infant immunity.

Maternal antibody transfer rate of vaccination against SARS-CoV-2 before or during early pregnancy and its protective effectiveness on offspring.

This study focuses on maternal antibody transfer following vaccination against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) before or during early pregnancy and its potential protective effects on infants, providing scientific evidence for vaccination strategies. This prospective study tested the samples for SARS-CoV-2 IgG antibody titers and neutralizing capacity and tracked the infections after birth. Perform multivariate analysis of factors influencing antibody transfer rate, newborn antibody titers, and infant infection. Total 87.1% (122/140) women received coronavirus disease 2019 (COVID-19) vaccine before or during early pregnancy, and 28 of them had breakthrough infection. The maternal and neonatal IgG positive rates at delivery were 60.7% (85/140) and 60.8% (87/143), respectively. A positive correlation was found between neonatal and maternal IgG antibody titers. Compared with the median IgG antibody transfer rate of infected pregnant women, that of vaccinated but not infected pregnant women was higher (1.21 versus: 1.53 [two doses], 1.71 [three doses]). However, neonatal IgG antibodies were relatively low (174.91 versus: 0.99 [two doses], 8.18 [three doses]), and their neutralizing capacity was weak. The overall effectiveness of maternal vaccination in preventing infant infection was 27.0%, and three doses had higher effectiveness than two doses (64.3% vs. 19.6%). Multivariate analysises showed that in vaccination group women receiving three doses or in infection group women with longer interval between infection and delivery had a higher antibody transfer rate and neonatal IgG antibody titer. More than half of women vaccinated before or during early pregnancy can achieve effective antibody transfer to newborns. However, the neonatal IgG antibody titer is low and has a weak neutralizing capacity, providing limited protection to infants.

Transcription factor c-fos induces the development of premature ovarian insufficiency by regulating MALAT1/miR-22-3p/STAT1 network.

BACKGROUND: The current study attempted to investigate the role of transcription factor c-fos in the development of premature ovarian insufficiency (POI) as well as the underlying mechanism involving the MALAT1/miR-22-3p/STAT1 ceRNA network. METHODS: Bioinformatics analysis was performed to extract POI-related microarray dataset for identifying the target genes. Interaction among c-fos, MALAT1, miR-22-3p, and STAT1 was analyzed. An in vivo POI mouse model was prepared followed by injection of sh-c-fos and sh-STAT1 lentiviruses. Besides, an in vitro POI cell model was constructed to study the regulatory roles of c-fos, MALAT1, miR-22-3p, and STAT1. RESULTS: c-fos, MALAT1, and STAT1 were highly expressed in ovarian tissues from POI mice and CTX-induced KGN cells, while miR-22-3p was poorly expressed. c-fos targeted MALAT1 and promoted MALAT1 transcription. MALAT1 competitively bound to miR-22-3p and miR-22-3p could suppress STAT1 expression. Mechanically, c-fos aggravated ovarian function impairment in POI mice and inhibited KGN cell proliferation through regulation of the MALAT1/miR-22-3p/STAT1 regulatory network. CONCLUSION: Our findings highlighted inducing role of the transcription factor c-fos in POI through modulation of the MALAT1/miR-22-3p/STAT1 ceRNA network.

Effect of an evidence-based activity management program on delivery outcomes in pregnant women after intraspinal labor analgesia.

OBJECTIVE: To investigate the effect of an evidence-based activity management program for pregnant women after intraspinal labor analgesia based on their delivery outcomes. METHODS: A prospective study was conducted in 96 pregnant women who received intraspinal labor analgesia in our hospital. The control group (48 cases) received routine nursing care after analgesia, and the intervention group (48 cases) received evidence-based activity management program after analgesia. The labor time, sense of birth control, physiological and psychological stress reactions, analgesic effect, delivery outcome and early postpartum pelvic floor function were compared between the two groups. RESULTS: Compared with the control group, the first, second and third stages of labor time and the total labor time of the intervention group were significantly shorter, while the Labor Agentry Scale (LAS) score was significantly higher (P<0.05). Compared with the control group, the diastolic blood pressure, systolic blood pressure, heart rate, Visual Analogue Scale (VAS) score, Self-Rating Anxiety Scale (SAS) score and Self-Rating Depression Scale (SDS) score of the intervention group were significantly lower (P<0.05). The total analgesic rate of the intervention group was significantly higher than that of the control group (95.83% vs. 79.17%, P<0.05). The overall incidence of postpartum hemorrhage, perineal laceration, lateral episiotomy, fetal distress and neonatal asphyxia in the intervention group was significantly lower than that of the control group (16.67% vs. 35.42%, P<0.05). The incidence of pelvic organ prolapse (POP) and pelvic floor dysfunction in the intervention group were significantly lower than those in the control group (P<0.05). CONCLUSION: An evidence-based activity management program for pregnant women after intraspinal labor analgesia can effectively shorten the labor time, strengthen the analgesic effect, reduce the physiological and psychological stress reactions, increase the sense of control during birth and improve the delivery outcome as well as early pelvic floor function.