Title |
Targeting Oxidative Stress in Embryonal Rhabdomyosarcoma
|
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Published in |
Cancer Cell, December 2013
|
DOI | 10.1016/j.ccr.2013.11.002 |
Pubmed ID | |
Authors |
Xiang Chen, Elizabeth Stewart, Anang A. Shelat, Chunxu Qu, Armita Bahrami, Mark Hatley, Gang Wu, Cori Bradley, Justina McEvoy, Alberto Pappo, Sheri Spunt, Marcus B. Valentine, Virginia Valentine, Fred Krafcik, Walter H. Lang, Monika Wierdl, Lyudmila Tsurkan, Viktor Tolleman, Sara M. Federico, Chris Morton, Charles Lu, Li Ding, John Easton, Michael Rusch, Panduka Nagahawatte, Jianmin Wang, Matthew Parker, Lei Wei, Erin Hedlund, David Finkelstein, Michael Edmonson, Sheila Shurtleff, Kristy Boggs, Heather Mulder, Donald Yergeau, Steve Skapek, Douglas S. Hawkins, Nilsa Ramirez, Philip M. Potter, John A. Sandoval, Andrew M. Davidoff, Elaine R. Mardis, Richard K. Wilson, Jinghui Zhang, James R. Downing, Michael A. Dyer, St. Jude Children’s Research Hospital–Washington University Pediatric Cancer Genome Project |
Abstract |
Rhabdomyosarcoma is a soft-tissue sarcoma with molecular and cellular features of developing skeletal muscle. Rhabdomyosarcoma has two major histologic subtypes, embryonal and alveolar, each with distinct clinical, molecular, and genetic features. Genomic analysis shows that embryonal tumors have more structural and copy number variations than alveolar tumors. Mutations in the RAS/NF1 pathway are significantly associated with intermediate- and high-risk embryonal rhabdomyosarcomas (ERMS). In contrast, alveolar rhabdomyosarcomas (ARMS) have fewer genetic lesions overall and no known recurrently mutated cancer consensus genes. To identify therapeutics for ERMS, we developed and characterized orthotopic xenografts of tumors that were sequenced in our study. High-throughput screening of primary cultures derived from those xenografts identified oxidative stress as a pathway of therapeutic relevance for ERMS. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 40% |
Belgium | 1 | 20% |
United Kingdom | 1 | 20% |
India | 1 | 20% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 60% |
Scientists | 2 | 40% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Spain | 2 | 1% |
United States | 2 | 1% |
United Kingdom | 1 | <1% |
Portugal | 1 | <1% |
Japan | 1 | <1% |
Switzerland | 1 | <1% |
Unknown | 173 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 40 | 22% |
Researcher | 35 | 19% |
Student > Master | 19 | 10% |
Student > Bachelor | 17 | 9% |
Student > Doctoral Student | 11 | 6% |
Other | 29 | 16% |
Unknown | 30 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 49 | 27% |
Medicine and Dentistry | 39 | 22% |
Agricultural and Biological Sciences | 37 | 20% |
Immunology and Microbiology | 4 | 2% |
Computer Science | 2 | 1% |
Other | 13 | 7% |
Unknown | 37 | 20% |