发明名称 |
Predictive radiosensitivity network model |
摘要 |
This invention is a model that simulates the complexity of biological signaling in a cell in response to radiation therapy. Using gene expression profiles and radiation survival assays in an algorithm, a systems model was generated of the radiosensitivity network. The network consists of ten highly interconnected genetic hubs with significant signal redundancy. The model was validated with in vitro tests perturbing network components, correctly predicting radiation sensitivity 2/3 times. The model's clinical relevance was shown by linking clinical radiosensitivity targets to the model network. Clinical applications were confirmed by testing model predictions against clinical response to preoperative radiochemotherapy in patients with rectal or esophageal cancer. |
申请公布号 |
US8655598(B2) |
申请公布日期 |
2014.02.18 |
申请号 |
US201113037156 |
申请日期 |
2011.02.28 |
申请人 |
TORRES-ROCA JAVIER F.;ESCHRICH STEVEN;UNIVERSITY OF SOUTH FLORIDA;H. LEE MOFFITT CANCER CENTER AND RESEARCH INSTITUTE, INC. |
发明人 |
TORRES-ROCA JAVIER F.;ESCHRICH STEVEN |
分类号 |
G01N33/50;G01N33/48 |
主分类号 |
G01N33/50 |
代理机构 |
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代理人 |
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地址 |
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