A transcriptomic signature predicting septic outcome in patients undergoing autologous stem cell transplantation - Aix-Marseille Université Access content directly
Journal Articles Experimental Hematology Year : 2018

A transcriptomic signature predicting septic outcome in patients undergoing autologous stem cell transplantation

Abstract

Autologous hematopoietic stem cell transplantation (auto-HSCT) is a standard treatment in multiple myeloma and relapsed or refractory lymphomas. After auto-HSCT, hematologic reconstitution and infectious complications are the main two critical issues. Though 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 (SIRS) and/or sepsis in patients receiving auto-HSCT. High throughput transcriptomic and bioinformatics analysis were performed to analyze gene expression modulation in peripheral blood mononuclear cells (PBMCs) in 21 patients undergoing auto-HSCT for hematological malignancies (lymphoma or multiple myeloma [MM]). Transcriptomic analysis of PBMCs samples collected just after conditioning regimen identified an eleven genes signature (CHAT, CNN3, ANKRD42, LOC100505725, EDAR, GPAT2, ENST00000390425, MTRM8, C6orf192 and LOC10289230 and XLOC-005643) that was able to early predict (at least 2 to 7 days before its occurrence) the development of SIRS or sepsis. The possibility of SIRS or sepsis occurrence early prediction (2-7 days before occurrence) opens up to new therapeutic strategies based on pre-emptive antibiotic and/or antifungal prophylaxis adapted to the specific risk profile of each patient.
Fichier principal
Vignette du fichier
18- 10R1_FullText.pdf (716.79 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01850637 , version 1 (15-01-2019)

Licence

Attribution

Identifiers

Cite

Yasmine Labiad, Geoffroy Venton, Farnault Laure, Céline Baier, Julien Colle, et al.. A transcriptomic signature predicting septic outcome in patients undergoing autologous stem cell transplantation. Experimental Hematology, 2018, ⟨10.1016/j.exphem.2018.06.001⟩. ⟨hal-01850637⟩

Collections

UNIV-AMU
174 View
476 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More