Identification of Gene Expression-Based Prognostic Markers in the Hematopoietic Stem Cells of Patients With Myelodysplastic Syndromes

Andrea Pellagatti, Axel Benner, Ken I Mills, Mario Cazzola, Aristoteles Giagounidis, Janet Perry, Luca Malcovati, Matteo G Della Porta, Martin Jädersten, Amit Verma, Emma-Jane McDonald, Sally Killick, Eva Hellström-Lindberg, Lars Bullinger, James S Wainscoat, Jacqueline Boultwood

Research output: Contribution to journalArticle

33 Citations (Scopus)

Abstract

The diagnosis of patients with myelodysplastic syndromes (MDS) is largely dependent on morphologic examination of bone marrow aspirates. Several criteria that form the basis of the classifications and scoring systems most commonly used in clinical practice are affected by operator-dependent variation. To identify standardized molecular markers that would allow prediction of prognosis, we have used gene expression profiling (GEP) data on CD34+ cells from patients with MDS to determine the relationship between gene expression levels and prognosis.
Original languageEnglish
Pages (from-to)3557-3564
JournalJournal of Clinical Oncology
Volume31
Issue number28
DOIs
Publication statusPublished - 03 Sep 2013

Fingerprint Dive into the research topics of 'Identification of Gene Expression-Based Prognostic Markers in the Hematopoietic Stem Cells of Patients With Myelodysplastic Syndromes'. Together they form a unique fingerprint.

Cite this