Department of Biostatistics Seminar/Workshop Series

Microarray data analysis across multiple datasets

Aixiang Jiang, MS

Assistant in Biostatistics, Division of Cancer Biostatistics

Wednesday, January 20, 1:30-2:30pm, MRBIII Conference Room 1220

Intended Audience: Persons interested in applied statistics, statistical theory, epidemiology, health services research, clinical trials methodology, statistical computing, statistical graphics, R users or potential users

One of the trends in microarray data analysis is to utilize multiple datasets. In this research, one mouse microarray dataset and two human microarray datasets were employed. We used a gene expression profile derived from invasive murine colon cancer cells that were highly metastatic in an immunocompetent mouse model to identify colon cancer patients at risk for recurrence in an exploratory biomarker study. Data from 55 Vanderbilt Medical Center (VMC) colorectal cancer patients were used as the training dataset, and data from 177 Moffitt Cancer Center patients were used as the independent dataset. The metastasis-associated gene expression profile developed from the mouse model was refined using comparative functional genomics in the VMC gene expression profiles to identify a 34-gene classifier associated with high risk of metastasis and death from colon cancer. A recurrence score derived from the biologically based classifier was tested in the Moffitt dataset.

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