View Proposal #351
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| ID | 351 |
|---|---|
| First Name | Joseph |
| Last Name | Moen |
| Institution | Wartburg College |
| Speaker Category | undergraduate student |
| Title of Talk | Development of Molecular Profiles to Predict Treatment Outcomes in Lymphoma Patients |
| Abstract | Lymphoma, a cancer which affects the immune system, is the fifth most common cancer in North America. Rituximab-based chemotherapy (R-CHOP) has become the standard recommended cancer-management course for this disease. Using previously collected data from a 2008 study conducted by Lenz G. Wright and publicly available from the National Center for Biotechnology Information, we used statistical methods to identify genetic characteristics associated with survival in R-CHOP treated patients. Univariate screening reduced the 54,000 recorded genes per patient into a manageable group which displayed strong possible correlation with overall survival. The resulting gene collection was partitioned into clusters of related genes and then scored using principal components. Then, a multivariate Cox-Regression model of these principal components was developed to best predict survival in Lymphoma patients. The resulting model can be used to help identify genetic characteristics of patients who are less likely to respond to current therapy and are potential targets for new drug development. |
| Subject area(s) | Mathematical Immunology |
| Suitable for undergraduates? | Yes |
| Day Preference | SaturdayMild |
| Computer Needed? | Y |
| Bringing a laptop? | N |
| Overhead Needed? | Y |
| Software requests | |
| Special Needs | |
| Date Submitted | 9/22/12 |
| Year | 2012 |