کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8962187 | 1646545 | 2018 | 27 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A transcriptomic signature predicting septic outcome in patients undergoing autologous stem cell transplantation
ترجمه فارسی عنوان
یک امضای ترانسکتومیک برای پیش بینی نتایج سپتیک در بیماران تحت پیوند سلول های بنیادی اتولوگ
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موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
تحقیقات سرطان
چکیده انگلیسی
Autologous hematopoietic stem cell transplantation is the standard treatment for multiple myeloma and relapsed or refractory lymphomas. After autologous hematopoietic stem cell transplantation, hematologic reconstitution and infectious complications are the two most critical issues. Although many patients develop infectious complications after therapeutic intensification, it remains impossible to predict infection for each individual. The goal of this work was to determine and identify a predictive transcriptomic signature of systemic inflammatory response syndrome and/or sepsis in patients receiving autologous hematopoietic stem cell transplantation. High-throughput transcriptomic and bioinformatics analysis were performed to analyze gene expression modulation in peripheral blood mononuclear cells in 21 patients undergoing autologous hematopoietic stem cell transplantation for hematological malignancies (lymphoma or multiple myeloma). Transcriptomic analysis of peripheral blood mononuclear cells samples collected just after conditioning regimen identified an 11-gene signature (CHAT, CNN3, ANKRD42, LOC100505725, EDAR, GPAT2, ENST00000390425, MTRM8, C6orf192, LOC10289230, and XLOC-005643) that was able to early predict (at least 2-7 days before its occurrence) the development of systemic inflammatory response syndrome or sepsis. The possibility of systemic inflammatory response syndrome or sepsis occurrence early prediction (2-7 days before occurrence) opens up new therapeutic strategies based on preemptive antibiotic and/or antifungal prophylaxis adapted to the specific risk profile of each patient.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Experimental Hematology - Volume 65, September 2018, Pages 49-56
Journal: Experimental Hematology - Volume 65, September 2018, Pages 49-56
نویسندگان
Yasmine Labiad, Geoffroy Ventona, Laure Farnault, Céline Baier, Julien Colle, Cédric Mercier, Vadim Ivanov, Corinne Nicolino, Béatrice Loriod, Nicolas Fernandez-Nunez, Magali Torres, Jean-Camille Mattei, Pascal Rihet, Catherine Nguyen,