Prediction of graft-versus-host disease based on analysis of peripheral blood mononuclear cell data
Graft-versus-host disease (GvHD) is the most important complication of bone marrow transplantation (BMT). It has high morbidity and mortality. Current diagnosis and treatment assessment rely primarily on ambiguous clinical symptoms. It is believed that the outcome of patients diagnosed with GvHD can be improved if they are treated before the development of full-scale clinical symptoms. With an attempt to provide early prediction of GvHD, we analyze peripheral blood mononuclear cells data, together with their GvHD outcome information, from a group of patients who underwent BMT. Various statistical methods are applied to overcome the difficulty arising from the high-dimensional longitudinal observations but with relatively small sample size. We find that the trend over time of a subgroup of the PBMCs is closely associated with GvHD occurrence.
This type of interdisciplinary work is a hallmark of our program in Applied Statistics at Simon Fraser University. For more information, please contact Yunfeng (Eric) Dai (firstname.lastname@example.org) or his supervisor Joan Hu (email@example.com), Department of Statistics and Actuarial Science.