Coupled with data on the occurrence of historical epidemics, this study examines the impact of an epidemic on the labor force participation rate of the affected country. We find robust evidence that the outbreak of an epidemic alters human behavior and negatively affects the labor force participation rate. The negative impact could be attributed to cultural attitudes toward uncertainty avoidance. A country with a higher uncertainty avoidance index will suffer from a more significant decline in the labor force participation rate. The negative impact is more pronounced among males and younger workers in low-and middle-income countries.

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Long noncoding RNA KCNQ1OT1 (KCNQ1OT1) has been identified to be deregulated in several kinds of cancers. However, its expression pattern and functions in ovarian cancer remain unknown. Bioinformatics analysis showed that miR-212-3p, an identified suppressor in ovarian cancer, was a direct target of KCNQ1OT1, suggesting that KCNQ1OT1 may play a role in ovarian cancer progression via targeting miR-212-3p. Here we aimed to explore the effect of KCNQ1OT1 on the carcinogenesis of ovarian cancer, as well as to investigate miR-212-3p roles in this process. The expression of KCNQ1OT1 and miR-212-3p in ovarian cancer tissues and cells was detected by qPCR. MTT, flow cytometry, wound healing, Transwell chambers, and in vivo tumor formation assays were carried out to assess cell proliferation, apoptosis, migration, invasion, and tumorigenesis, respectively. RNA pulldown and luciferase gene reporter assays were used to evaluate the RNA‐RNA interaction. The results showed that KCNQ1OT1 was overexpressed in ovarian cancer tissues and cells, which closely associated with the advanced clinic process and poor prognosis in ovarian cancer patients. Upregulation of KCNQ1OT1 significantly enhanced cell growth, migration, and invasion and inhibited cell apoptosis via miR-212-3p. In addition, we identified that lipocalin2 (LCN2) was a direct target of miR-212-3p and functioned as an oncogene to promote cell growth and to inhibit cell apoptosis. Furthermore, we observed that KCNQ1OT1 overexpression significantly enhanced the tumorigenesis of SKOV3 cells, whereas this effect was significantly impaired when LCN2 expression was downregulated. Overall, the present study reveals that KCNQ1OT1 functions as an oncogene in ovarian cancer via targeting miR-212-3p/LCN2 axis, which might provide new markers and targets for ovarian cancer diagnosis and treatment.

In the present study, differentially expressed microRNAs (miRNAs) in peritoneal exosomes that were isolated from 10 patients with epithelial ovarian cancer (EOC) with metastasis in the abdominal cavity and 10 participants without cancer (NC) were identified. These differentially expressed miRNAs that were revealed by next-generation sequencing were categorized by Gene Ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis of their target genes. Notably, two miRNAs that were associated with EOC-miR-149-3p and miR-222-5p-were identified. There were significant differences in expression of miR-149-3p and miR-222-5p between EOC and NC samples, and the effect of the expression level of the two miRNAs on the patient survival was identified using publicly available data from The Cancer Genome Atlas. There is an association between these two miRNAs and EOC, that was further verified by reverse transcription-quantitative polymerase chain reaction in peritoneal exosomes from 10 patients with EOC and NC participants. These results indicated that miR-149-3p and miR-222-5p might be novel biomarkers for evaluating the prognosis of patients with EOC and that these two miRNAs might have potential therapeutic values.

Cervical cancer is the leading cause of cancer deaths in women in the developing world, with High-risk HPV16 and HPV18 accounting for approximately 70% of all cervical cancers. Early detection...

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