Human papillomavirus is the causal factor for cervical cancer. However, the role of HPV infection in ovarian cancer is unclear. This study aimed to determine the presence of human papillomavirus-16 (HPV-16) in ovarian cancer tissues. Archived human ovarian cancer tissues (N ¼ 54 cases, 50 are epithelial cancer, four are nonepithelial cancer) embedded in paraffin blocks were used. Controls are 30 nonmalignant ovarian tissue blocks. In situ hybridisation (ISH) and immunohistochemistry (IHC) were used to detect the presence of HPV-16 and p53 expression. In all, 52 or 36% of the epithelial ovarian tumours detected by ISH or IHC, respectively, were HPV-16 E6 positive. In contrast, only 6.7% of normal ovarian tissues were HPV-16 positive proved by ISH. Human papillomavirus-16 infection was significantly higher in cancer tissues compared to controls with an odds ratio of 16.7 (95% confidence interval [CI] ¼ 3.2 -71.4, Po0.01). No significant correlation between HPV-16 infection and histological types of cancer was found (P40.05). p53 gene expression was detected in 42% epithelial ovarian cancers. No correlation between p53 expression and HPV-16 infection was found. The results showed the presence of HPV-16 E6 in ovarian carcinoma, suggesting that HPV infection might play a role in ovarian carcinogenesis.

Psoriasis is a chronic inflammatory autoimmune skin disease that often occurs in rubbed areas undergoing a strong mechanical stretch, such as the elbows and knees. However, the pathologic role of mechanical tension in psoriasis remains unclear. In this study, we investigated the contribution of keratinocyte mechanical stretch to the clinical features of psoriasis. We found that keratinocyte proliferation and skin barrier-associated gene expression increased significantly after 24 hours of continuous stretching. Additionally, continuous stretching induced the production of psoriasis-associated proinflammatory cytokines, antibacterial peptides, and chemokines in primary human keratinocytes. Furthermore, we established a murine model of skin expansion by implanting a dilator into the dorsum of BALB/c mice to assess the effect of mechanical stretch on the epidermis in vivo. The dilator-implanted mice displayed prominent epidermal hyperproliferation, impaired skin barrier function, and up-regulation of psoriasis-associated cytokines in epidermal keratinocytes. Most importantly, the dilator-implanted psoriatic mice treated with imiquimod or IL-23 displayed an aggravated psoriatic phenotype compared with mice without dilator implantation. Collectively, our results suggest that mechanical stretch can exacerbate psoriatic lesions by promoting cell proliferation and amplifying the production of proinflammatory cytokines by keratinocytes. Thus, our findings provide new insights into the pathogenesis of psoriasis.

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Background: Increasing evidences reveal that inflammation plays a critical role in tumorigenesis and progression. We aimed to develop the nomograms based on inflammatory biomarkers to predict micro-vascular invasion (MVI) and tumor grade in stage I/II hepatocellular carcinoma (HCC).Methods: A retrospective cohort of 627 patients with stage I/II HCC between January 2007 and December 2014 was included in the study. Logistic regression was performed to identify the independent risk factors of tumor grade and MVI. The significant predictors including neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocyte ratio (dNLR), lymphocyte-to-monocyte ratio (LMR), tumor volume age, and tumor size were subsequently incorporated to build the nomograms. The prediction accuracies of the nomograms were evaluated using the area under the receiver operating characteristic (ROC) curve.Results: The independent risk factors for tumor grade were NLR, dNLR, and tumor volume (P<0.001, P=0.001, and P<0.001, respectively), which were assembled into tumor grade nomogram. MVI nomogram was developed by dNLR, LMR, age, and tumor size (P<0.001, P<0.001, P<0.001, and P=0.001, respectively) which were the independent predictors for MVI. The area under the ROC curve of nomograms for predicting tumor grade and MVI were 0.727 (95% confidence intervals [CI]: 0.690–0.761) and 0.839 (95% CI: 0.808–0.867), respectively. Patients who had a nomogram score of less than 100 and 79 were considered to have high possibility of moderate grade and have low risks of MVI presence, respectively.Conclusion: We successfully developed nomograms predicting tumor grade and MVI based on inflammatory biomarkers with high accuracy, leading to a rational therapeutic choice for stage I/II HCC.