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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

Abstract 820: Inhibition of Rad6 sensitizes triple negative breast cancer cells to platinum-based therapy
Treatment of triple negative breast cancers (TNBCs) poses a clinical challenge because they are not treatable with therapies targeting estrogen receptor and Her2/neu as they lack expression of estrogen, progesterone, and Her2/neu receptors. Since TNBCs share several histologic features with BRCA1-related breast cancer, and these breast cancers have aberrant DNA repair, DNA repair pathways are thought to play a role in TNBC development and drug response. Platinum (Pt)-based compounds induce toxic interstrand DNA crosslinks (ICL), the repair of which requires activities of BRCA/Fanconi anemia (FA) network and Rad6 postreplic...
Source: Cancer Research - September 30, 2014 Category: Cancer & Oncology Authors: Haynes, B., Sanders, M., Shekhar, M. Tags: Experimental and Molecular Therapeutics Source Type: research