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Proteomic peptide profiling for preemptive diagnosis of acute graft-versus-host disease after allogeneic stem cell transplantation

Allogeneic hematopoietic stem cell transplantation is one curative treatment for hematological malignancies, but is compromised by life-threatening complications, such as severe acute graft-versus-host disease (aGvHD). Prediction of severe aGvHD as early as possible is crucial to allow timely initia...

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Detalles Bibliográficos
Autores principales: Weissinger, E M, Metzger, J, Dobbelstein, C, Wolff, D, Schleuning, M, Kuzmina, Z, Greinix, H, Dickinson, A M, Mullen, W, Kreipe, H, Hamwi, I, Morgan, M, Krons, A, Tchebotarenko, I, Ihlenburg-Schwarz, D, Dammann, E, Collin, M, Ehrlich, S, Diedrich, H, Stadler, M, Eder, M, Holler, E, Mischak, H, Krauter, J, Ganser, A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7101954/
https://www.ncbi.nlm.nih.gov/pubmed/23842427
http://dx.doi.org/10.1038/leu.2013.210
Descripción
Sumario:Allogeneic hematopoietic stem cell transplantation is one curative treatment for hematological malignancies, but is compromised by life-threatening complications, such as severe acute graft-versus-host disease (aGvHD). Prediction of severe aGvHD as early as possible is crucial to allow timely initiation of treatment. Here we report on a multicentre validation of an aGvHD-specific urinary proteomic classifier (aGvHD_MS17) in 423 patients. Samples (n=1106) were collected prospectively between day +7 and day +130 and analyzed using capillary electrophoresis coupled on-line to mass spectrometry. Integration of aGvHD_MS17 analysis with demographic and clinical variables using a logistic regression model led to correct classification of patients developing severe aGvHD 14 days before any clinical signs with 82.4% sensitivity and 77.3% specificity. Multivariate regression analysis showed that aGvHD_MS17 positivity was the only strong predictor for aGvHD grade III or IV (P<0.0001). The classifier consists of 17 peptides derived from albumin, β2-microglobulin, CD99, fibronectin and various collagen α-chains, indicating inflammation, activation of T cells and changes in the extracellular matrix as early signs of GvHD-induced organ damage. This study is currently the largest demonstration of accurate and investigator-independent prediction of patients at risk for severe aGvHD, thus allowing preemptive therapy based on proteomic profiling. SUPPLEMENTARY INFORMATION: The online version of this article (doi:10.1038/leu.2013.210) contains supplementary material, which is available to authorized users.