RT Journal Article
T1 A novel predictive approach for GVHD after allogeneic SCT based on clinical variables and cytokine gene polymorphisms.
A1 Martínez-Laperche, Carolina
A1 Buces, Elena
A1 Aguilera-Morillo, M Carmen
A1 Picornell, Antoni
A1 González-Rivera, Milagros
A1 Lillo, Rosa
A1 Santos, Nazly
A1 Martín-Antonio, Beatriz
A1 Guillem, Vicent
A1 Nieto, José B
A1 González, Marcos
A1 de la Cámara, Rafael
A1 Brunet, Salut
A1 Jiménez-Velasco, Antonio
A1 Espigado, Ildefonso
A1 Vallejo, Carlos
A1 Sampol, Antonia
A1 Bellón, José María
A1 Serrano, David
A1 Kwon, Mi
A1 Gayoso, Jorge
A1 Balsalobre, Pascual
A1 Urbano-Izpizua, Álvaro
A1 Solano, Carlos
A1 Gallardo, David
A1 Díez-Martín, José Luis
A1 Romo, Juan
A1 Buño, Ismael
A1 GVHD/Immunotherapy Committee of the Spanish Group for Hematopoietic Transplantation, 
AB Despite considerable advances in our understanding of the pathophysiology of graft-versus-host disease (GVHD), its prediction remains unresolved and depends mainly on clinical data. The aim of this study is to build a predictive model based on clinical variables and cytokine gene polymorphism for predicting acute GVHD (aGVHD) and chronic GVHD (cGVHD) from the analysis of a large cohort of HLA-identical sibling donor allogeneic stem cell transplant (allo-SCT) patients. A total of 25 SNPs in 12 cytokine genes were evaluated in 509 patients. Data were analyzed using a linear regression model and the least absolute shrinkage and selection operator (LASSO). The statistical model was constructed by randomly selecting 85% of cases (training set), and the predictive ability was confirmed based on the remaining 15% of cases (test set). Models including clinical and genetic variables (CG-M) predicted severe aGVHD significantly better than models including only clinical variables (C-M) or only genetic variables (G-M). For grades 3-4 aGVHD, the correct classification rates (CCR1) were: 100% for CG-M, 88% for G-M, and 50% for C-M. On the other hand, CG-M and G-M predicted extensive cGVHD better than C-M (CCR1: 80% vs. 66.7%, respectively). A risk score was calculated based on LASSO multivariate analyses. It was able to correctly stratify patients who developed grades 3-4 aGVHD (P
YR 2018
FD 2018
LK http://hdl.handle.net/10668/12734
UL http://hdl.handle.net/10668/12734
LA en
DS RISalud
RD Apr 18, 2025