Ontology highlight
ABSTRACT: Background
There is variability in the outcome of patients with chronic lymphocytic leukemia with apparently the same stage of disease. Identifying genetic variants that influence patients' outcome and response to treatment may provide important insights into the biology of the disease.Design and methods
We investigated the possibility that genetic variation influences outcome by conducting a genome-wide analysis of 346,831 single nucleotide polymorphisms in 356 patients entered into a phase III trial comparing the efficacy of fludarabine, chlorambucil, and fludarabine with cyclophosphamide as first-line treatment. Genotypes were linked to individual patients' outcome data and response to chemotherapy. The association between genotype and progression-free survival was assessed by Cox regression analysis adjusting for treatment and clinicopathology.Results
The strongest associations were shown for rs1949733 (ACOX3; P=8.22x10-7), rs1342899 (P=7.72×10(-7)) and rs11158493 (PPP2R5E; P=8.50×10(-7)). In addition, the 52 single nucleotide polymorphisms associated at P<10(-4) included rs438034 (CENPF; P=4.86×10(-6)), previously correlated with cancer progression, and rs2255235 (B2M; P=3.10×10(-5)) and rs2064501 (IL22RA2; P=4.81×10(-5)) which map to B-cell genes.Conclusions
Our findings provide evidence that genetic variation is a determinant of progression-free survival of patients with chronic lymphocytic leukemia. Specific associations warrant further analyses.
SUBMITTER: Wade R
PROVIDER: S-EPMC3186311 | biostudies-literature | 2011 Oct
REPOSITORIES: biostudies-literature
Wade Rachel R Di Bernardo Maria Chiara MC Richards Sue S Rossi Davide D Crowther-Swanepoel Dalemari D Gaidano Gianluca G Oscier David G DG Catovsky Daniel D Houlston Richard S RS
Haematologica 20110609 10
<h4>Background</h4>There is variability in the outcome of patients with chronic lymphocytic leukemia with apparently the same stage of disease. Identifying genetic variants that influence patients' outcome and response to treatment may provide important insights into the biology of the disease.<h4>Design and methods</h4>We investigated the possibility that genetic variation influences outcome by conducting a genome-wide analysis of 346,831 single nucleotide polymorphisms in 356 patients entered ...[more]