NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE61905 Query DataSets for GSE61905
Status Public on Mar 09, 2015
Title Molecular Insight into Thiopurine Resistance: Transcriptomic Signature in Lymphoblastoid Cell Lines
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Despite significant improvements in acute lymphoblastic leukemia (ALL) treatment, long-term survival is still challenging. 6-mercaptopurine (6-MP), a thiopurine agent part of maintenance therapy, is of particular importance for determining clinical outcome and preventing relapse. Genetic inheritance in thiopurine metabolism plays a major role in interindividual clinical response variability to thiopurine. However, thiopurine resistance remains mostly unexplained. Using lymphoblastoid cell lines (LCLs) selected for their extreme resistant phenotype to thiopurine drugs, we performed a genome-wide expression profiling in order to highlight underlying mechanisms of thiopurine resistance. We established a transcriptomic signature of 32 genes predicting thiopurine resistance, including GTPBP4, a GTP-binding protein which is a p53 interactor. Besides, among the differentially expressed genes between resistant and sensitive cell lines, gene ontology analysis highlights the involvement of RNA processes and cell cycle in thiopurine resistance. A comprehensive pathway analysis revealed the overexpression of the ATM/p53/p21 pathway, which is activated in response to DNA damage and resulting in a cell cycle arrest. Furthermore, an increased expression of TNFRSF10D, a p53 target gene, or CCNG2, a negative regulator of cell cycle, could result in a cell cycle arrest and have associated with resistance. Finally, ARHGDIA under-expression in resistant cell lines could constitute a novel molecular mechanism contributing to thiopurine resistance in relation thiopurine pharmacodynamics, based on Rac1 inhibition and apoptosis. Our study represents a step toward the knowledge of underlying molecular mechanisms contributing to thiopurine resistance and potential therapeutic targets in the field of personalized medicine.
 
Overall design Transcriptomic analysis of thiopurine-resistant LCLs (n=5) compared to thiopurine-sensitive LCLs (n=6); t test for each gene after RMA process.
 
Contributor(s) Chouchana L, Fernández-Ramos AA, Dumont F, Marchetti C, Ceballos-Picot I, Beaune PH, Gurwitz D, Loriot MA
Citation(s) 26015807
Submission date Sep 30, 2014
Last update date Aug 09, 2019
Contact name Florent Dumont
E-mail(s) florent.dumont@u-psud.fr
Organization name Université Paris-Saclay
Street address 17 avenue des sciences
City 91400 Orsay
State/province Ile de France
ZIP/Postal code 91400
Country France
 
Platforms (1)
GPL17930 [HuGene-2_0-st] Affymetrix Human Gene 2.0 ST Array [HuGene20stv1_Hs_ENTREZG_17.0.0]
Samples (11)
GSM1517012 Resistant_1
GSM1517013 Resistant_2
GSM1517014 Resistant_4
Relations
BioProject PRJNA262657

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE61905_RAW.tar 98.9 Mb (http)(custom) TAR (of CEL)
Processed data included within Sample table

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap