American Statistical Association
New York City
Metropolitan Area Chapter

Memorial Sloan Kettering Cancer Center
Department of Epidemiology and Biostatistics
Biostatistics Seminar Series


Sean Devlin, Ph.D.
Department of Epidemiology and Biostatistics
Memorial Sloan Kettering Cancer Center

EVALUATING PREDICTIVE CANCER BIOMARKERS AND DIFFERENTIAL
TREATMENT BENEFITS USING POLYGENIC RISK SCORES

Clinical studies of anticancer therapies seek to identify predictive biomarkers by investigating whether treatment benefit differs according to biomarker status. This is, however, not straightforward when the putative biomarkers constitute high dimensional data. This talk will discuss a polygenic risk score approach to develop a one-dimensional biomarker, and examine how treatment benefit differs according to the status of this biomarker. These statistical methods are illustrated using high throughput gene expression data from an NSABP randomized trial that evaluated the addition of adjuvant trastuzumab to doxorubicin plus cyclophosphamide chemotherapy in breast cancer patients.

This is joint work with Jaya Satagopan and Alexia Iasonos.


Date: Wednesday, May 31, 2017
Time: 4:00 - 5:00 P.M.
Location: Memorial Sloan Kettering Cancer Center
Department of Epidemiology and Biostatistics
485 Lexington Avenue
(Between 46th & 47th Streets)
2nd Floor, Conference Room B
New York, New York

**Outside visitors please email nearyp@mskcc for building access.
You must be on the security list to enter the floor.

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