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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

PGC1 β Regulates Breast Tumor Growth and Metastasis by SREBP1-Mediated HKDC1 Expression
Conclusions: PGC1β regulates breast cancer tumor growth and metastasis by SREBP1-mediated HKDC1 expression. This provides a novel therapeutic strategy through targeting the PGC1β/HKDC1 signaling pathway for breast cancer treatment. Introduction Breast cancer is a very common cancer with significant premature mortality in women. Around 12% of women in USA will have chance to be diagnosed with breast cancer during their lifetimes (1, 2). The development of breast cancer is regulated by many factors, and even as average survival rates have increased significantly as a result of many advanced treatments...
Source: Frontiers in Oncology - April 16, 2019 Category: Cancer & Oncology Source Type: research