Partial Least Squares Based Gene Expression Analysis in Posttransplant Lymphoproliferative Disorders
نویسندگان
چکیده
Post-transplant lymphoproliferative disorder (PTLD) is a common complication of therapeutic immunosuppression after organ transplantation. The majority of PTLD is of B-cell origin and over 90% of PTLDs are Epstein-Barr virus (EBV) positive (Paya et al., 1999; Gottschalk et al., 2005). Clinically, EBV negative patients tend to occur later and have an overall poorer prognosis(Nelson et al., 2000). Currently, the pathogenesis of EBV-negative PTLD is less defined. Capture the molecular characteristics of EBV negative patients may help understanding the underlying mechanism. Recently, the innovation of high throughput experimental strategies facilitates the identification of signatures that underlie the pathogenesis of complex diseases. Several studies have investigated the gene expression difference between EBV-positive and EBVnegative patients using microarray analysis (Craig et al., 2007; Morscio et al., 2013; Shi et al., 2013). These studies implemented variance or regression analysis to identify differentially expressed genes. This procedure becomes fundamentally flawed when there are unaccounted array specific factors, such as different biological,
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