» Articles » PMID: 16617318

Gene Expression Profiling of CD34+ Cells Identifies a Molecular Signature of Chronic Myeloid Leukemia Blast Crisis

Overview
Journal Leukemia
Specialties Hematology
Oncology
Date 2006 Apr 18
PMID 16617318
Citations 43
Authors
Affiliations
Soon will be listed here.
Abstract

Despite recent success in the treatment of early-stage disease, blastic phase (BP) of chronic myeloid leukemia (CML) that is characterized by rapid expansion of therapy-refractory and differentiation-arrested blasts, remains a therapeutic challenge. The development of resistance upon continuous administration of imatinib mesylate is associated with poor prognosis pointing to the need for alternative therapeutic strategies and a better understanding of the molecular mechanisms underlying disease progression. To identify transcriptional signatures that may explain pathological characteristics and aggressive behavior of BP blasts, we performed comparative gene expression profiling on CD34+ Ph+ cells purified from patients with untreated newly diagnosed chronic phase CML (CP, n=11) and from patients in BP (n=9) using Affymetrix oligonucleotide arrays. Supervised microarray data analysis revealed 114 differentially expressed genes (P<10(-4)), 34 genes displaying more than two-fold transcriptional changes when comparing CP and BP groups. While 24 of these genes were downregulated, 10 genes, especially suppressor of cytokine signalling 2 (SOCS2), CAMPATH-1 antigen (CD52), and four human leukocyte antigen-related genes were strongly overexpressed in BP. Expression of selected genes was validated by real-time-polymerase chain reaction and flow cytometry. Our data suggest the existence of a common gene expression profile of CML-BP and provide new insight into the molecular phenotype of blasts associated with disease progression and high malignancy.

Citing Articles

An Overview of Myeloid Blast-Phase Chronic Myeloid Leukemia.

Pamuk G, Ehrlich L Cancers (Basel). 2024; 16(21).

PMID: 39518058 PMC: 11545322. DOI: 10.3390/cancers16213615.


Unravelling cancer subtype-specific driver genes in single-cell transcriptomics data with CSDGI.

Huang M, Ma J, An G, Ye X PLoS Comput Biol. 2023; 19(12):e1011450.

PMID: 38096269 PMC: 10754467. DOI: 10.1371/journal.pcbi.1011450.


A Nucleus-Targeting WT1 Antagonistic Peptide Encapsulated in Polymeric Nanomicelles Combats Refractory Chronic Myeloid Leukemia.

Chen M, Fang X, Du R, Meng J, Liu J, Liu M Pharmaceutics. 2023; 15(9).

PMID: 37765274 PMC: 10534672. DOI: 10.3390/pharmaceutics15092305.


Arginine dependency is a therapeutically exploitable vulnerability in chronic myeloid leukaemic stem cells.

Rattigan K, Zarou M, Brabcova Z, Prasad B, Zerbst D, Sarnello D EMBO Rep. 2023; 24(10):e56279.

PMID: 37489735 PMC: 10561355. DOI: 10.15252/embr.202256279.


Feature selection for high dimensional microarray gene expression data via weighted signal to noise ratio.

Hamraz M, Ali A, Mashwani W, Aldahmani S, Khan Z PLoS One. 2023; 18(4):e0284619.

PMID: 37098036 PMC: 10128961. DOI: 10.1371/journal.pone.0284619.