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Medicine and Health Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Oncology

Thomas Jefferson University

Neoplasms

2015

Articles 1 - 2 of 2

Full-Text Articles in Medicine and Health Sciences

Chromatin To Clinic: The Molecular Rationale For Parp1 Inhibitor Function., Felix Y. Feng, Johann S. De Bono, Mark A. Rubin, Karen E Knudsen Jun 2015

Chromatin To Clinic: The Molecular Rationale For Parp1 Inhibitor Function., Felix Y. Feng, Johann S. De Bono, Mark A. Rubin, Karen E Knudsen

Department of Cancer Biology Faculty Papers

Poly(ADP-ribose) polymerase 1 (PARP1) inhibitors were recently shown to have potential clinical impact in a number of disease settings, particularly as related to cancer therapy, treatment for cardiovascular dysfunction, and suppression of inflammation. The molecular basis for PARP1 inhibitor function is complex, and appears to depend on the dual roles of PARP1 in DNA damage repair and transcriptional regulation. Here, the mechanisms by which PARP-1 inhibitors elicit clinical response are discussed, and strategies for translating the preclinical elucidation of PARP-1 function into advances in disease management are reviewed.


Network-Based Stratification Analysis Of 13 Major Cancer Types Using Mutations In Panels Of Cancer Genes., Xue Zhong, Hushan Yang, Shuyang Zhao, Yu Shyr, Bingshan Li Jun 2015

Network-Based Stratification Analysis Of 13 Major Cancer Types Using Mutations In Panels Of Cancer Genes., Xue Zhong, Hushan Yang, Shuyang Zhao, Yu Shyr, Bingshan Li

Department of Medical Oncology Faculty Papers

BACKGROUND: Cancers are complex diseases with heterogeneous genetic causes and clinical outcomes. It is critical to classify patients into subtypes and associate the subtypes with clinical outcomes for better prognosis and treatment. Large-scale studies have comprehensively identified somatic mutations across multiple tumor types, providing rich datasets for classifying patients based on genomic mutations. One challenge associated with this task is that mutations are rarely shared across patients. Network-based stratification (NBS) approaches have been proposed to overcome this challenge and used to classify tumors based on exome-level mutations. In routine research and clinical applications, however, usually only a small panel of …