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An Ensemble Strategy to Predict Prognosis in Ovarian Cancer Based on Gene Modules
Conclusion Considering the heterogeneity and complexity of ovarian cancer, we demonstrated a new method to predict the prognosis of ovarian cancer based on the clustering information and gene co-expression network in each subtype of cancer patients. We divided the ovarian cancer data into three subtypes by clustering analysis and we found that the survival risks in these three subtypes were significantly different. We mined the important communities based on the co-expression networks in each subtype. There are 50, 73, and 92 communities in the first, second and third subtype, respectively. Next, we constructed a new ense...
Source: Frontiers in Genetics - April 23, 2019 Category: Genetics & Stem Cells Source Type: research

FKN Facilitates HK-2 Cell EMT and Tubulointerstitial Lesions via the Wnt/ β-Catenin Pathway in a Murine Model of Lupus Nephritis
In this study, we therefore examined whether FKN could stimulate the process of EMT, NF-kB, TGFβ, CCL22, F4/80, inflammation, and tubulointerstitial fibrosis in a murine model of LN. We also determined whether FKN was involved in the EMT process of Wnt/β-catenin-expressing HK-2 cells. Mechanistically, we ascertained, for the first time, whether FKN up-regulated EMT-related gene signatures (e.g., vimentin, α-SMA), and hence, renal tubulointerstitial fibrogenesis, and the role of the Wnt/β-catenin signaling pathway in this process. Materials and Methods Cell Culture, Stable Infection, and Gr...
Source: Frontiers in Immunology - April 29, 2019 Category: Allergy & Immunology Source Type: research