Proteomic peptide profiling for preemptive diagnosis of acute graft-versus-host disease after allogeneic stem cell transplantation
Autor: | Matthew Collin, Daniel Wolff, I Tchebotarenko, Michael A. Morgan, Iyas Hamwi, Helmut Diedrich, Zoya Kuzmina, Eva M. Weissinger, Michael Stadler, Ernst Holler, Christiane Dobbelstein, Hildegard T. Greinix, Hans-Heinrich Kreipe, Jochen Metzger, A. Krons, D Ihlenburg-Schwarz, Jürgen Krauter, Michael Schleuning, William Mullen, Arnold Ganser, Anne M. Dickinson, Harald Mischak, Steve Ehrlich, Elke Dammann, Matthias Eder |
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Rok vydání: | 2013 |
Předmět: |
Adult
Male Proteomics Oncology Cancer Research medicine.medical_specialty Adolescent Urinary system medicine.medical_treatment CD99 capillary electrophoresis Graft vs Host Disease Inflammation Hematopoietic stem cell transplantation Disease Article Internal medicine Diagnosis graft-versus-host disease medicine Humans Transplantation Homologous Serum Albumin Aged mass spectrometry business.industry Proteomic Profiling Hematopoietic Stem Cell Transplantation Hematology Middle Aged Transplantation Logistic Models Acute Disease Immunology Female Cell transplantation medicine.symptom Stem cell business |
Zdroj: | Leukemia |
ISSN: | 1476-5551 0887-6924 |
DOI: | 10.1038/leu.2013.210 |
Popis: | 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 |
Databáze: | OpenAIRE |
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