Objective: To learn the epidemiological characteristics of coronavirus disease 2019(COVID-19)clusters in Nanning,Guangxi Province,so as to provide reference for the prevention and control of COVID-19. Methods: The data of COVID-19 clusters from January to February,2020 in Nanning were collected through the Public Emergency Response System of National CDC. Descriptive epidemiological analysis were conducted to analyze the time,space and population distribution, source of infection,transmission chain, ways of detection and the scale of clusters. Results: Eleven clusters were reported,with 36 confirmed cases and 293 exposed persons. The average attack rate was 12.29%. There were ten family clusters. The epidemic scale was small,with an average of 3.27 cases. The onset of cases peaked on January 23,while the reporting time was mainly from February 10 to February 18. The cases were distributed in two cities and one county. The attack rate of Qingxiu District and Xixiangtang District was 16.95%,which was higher than 5.17% of Mashan County(p<0.05). The recurrence rate of family contacts was 25.42%,which was higher than that of other ways of contacts(p<0.05). Of eleven clusters,nine were caused by imported cases or related cases;five developed secondary cases or above,and the median interval between the first and secondary cases was three days. Conclusions The COVID-19 clusters in Nanning occurred mainly in families with small scales and most were caused by imported cases. The majority of the cases were reported during mid February. The attack rate in urban areas was higher than that in rural areas.

Background::Gastric cancer (GC), a malignant tumor with poor prognosis, is one of the leading causes of cancer-related deaths worldwide; consequently, identifying novel therapeutic targets is crucial for its corresponding treatment. NUF2, a component of the NDC80 kinetochore complex, promotes cancer progression in multiple malignancies. Therefore, this study aimed to explore the potential of NUF2 as a therapeutic target to inhibit GC progression. Methods::Clinical samples were obtained from patients who underwent radical resection of GC at Lanzhou University Second Hospital from 2016 to 2021. Cell count assays, colony formation assays, and cell-derived xenotransplantation (CDX) models were used to determine the effects of NUF2 on GC progression. Flow cytometry was used to detect the effect of NUF2 or quercetin on cell cycle progression and apoptosis. A live-cell time-lapse imaging assay was performed to determine the effect of NUF2 on the regulation of mitotic progression. Transcriptomics was used to investigate the NUF2-associated molecular mechanisms. Virtual docking and microscale thermophoresis were used to identify NUF2 inhibitors. Finally, CDX, organoid, and patient-derived xenograft (PDX) models were used to examine the efficacy of the NUF2 inhibitor in GC. Results::NUF2 expression was significantly increased in GC and was negatively correlated with prognosis. The deletion of NUF2 suppressed GC progression both in vivo and in vitro. NUF2 significantly regulated the mitogen-activated protein kinase (MAPK) pathway, promoted G2/M phase transition, and inhibited apoptosis in GC cells. Additionally, quercetin was identified as a selective NUF2 inhibitor with low toxicity that significantly suppressed tumor growth in GC cells, organoids, CDX, and PDX models. Conclusions::Collectively, NUF2-mediated G2/M phase transition and apoptosis inhibition promoted GC progression; additionally, NUF2 inhibitors exhibited potent anti-GC activity. This study provides a new strategy for targeting NUF2 to suppress GC progression in clinical settings.

Changes in nuclear morphology are common in malignant tumors, but the underlying molecular mechanisms remain poorly understood. Lamins is involved in supporting nuclear structure, and the expression of Lamins is the molecular basis for nuclear morphological changes during tumor progression. In recent years, the research on the relationship between Lamins and malignant tumors has made great progress. Lamins is of great value in the diagnosis, treatment, and prognosis of various malignant tumors.
Cell Nucleus ; Humans ; Lamins/genetics* ; Neoplasms/genetics* ; Prognosis