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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 A164: The small molecule UAE inhibitor TAK-243 (MLN7243) prevents DNA damage repair and reduces cell viability/tumor growth when combined with radiation, carboplatin and docetaxel
Clinical results of VELCADE® (bortezomib) For Injection have prompted evaluation of other enzymes within the ubiquitin proteasome system (UPS) as druggable targets for human cancer. We have identified a first in class investigational drug, TAK-243 (MLN7243), which targets the ubiquitin activating enzyme, UAE (UBA1), an essential cellular enzyme responsible for activating > 99% of all cellular ubiquitin. Ubiquitin is involved in multiple cellular processes including ubiquitin-dependent protein turnover, cell cycle progression, regulation of apoptosis, protein localization and response to DNA damage. Experiments combi...
Source: Molecular Cancer Therapeutics - January 7, 2016 Category: Cancer & Oncology Authors: Milhollen, M. A., Shi, J., Traore, T., Huck, J., Sappal, D., Duffy, J., Lightcap, E., Ishii, Y., Ciavarri, J., Fleming, P., Bence, N., Hyer, M. L. Tags: Therapeutic Agents: Other: Poster Presentations - Proffered Abstracts Source Type: research