|
|
Blood, 26 February 2009, Vol. 113, No. 9, pp. 1892-1898.
Prepublished online as a Blood First Edition Paper on December 23, 2008; DOI 10.1182/blood-2008-02-141002.
Previous Article | Next Article 
Submitted February 27, 2008
Accepted November 24, 2008
Residual DNA methylation at remission is prognostic in adult Philadelphia chromosome negative acute lymphocytic leukemia
Hui Yang, Tapan Kadia, Lianchun Xiao, Carlos E. Bueso-Ramos, Koyu Hoshino, Deborah Ann Thomas, Susan O'Brien, Elias Jabbour, Sherry Pierce, Gary L. Rosner, Hagop M Kantarjian, and Guillermo Garcia-Manero*
Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX, United States
Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, United States
Department of Hematopathology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
* Corresponding author; email: ggarciam{at}mdanderson.org.
Pretreatment aberrant DNA methylation patterns are stable at time of relapse in acute lymphocytic leukemia (ALL). We hypothesized that the detection of residual methylation alterations at the time of morphological remission may predict for worse prognosis. We developed a real-time bisulfite PCR assay and analyzed the methylation levels of p73, p15 and p57KIP2 at the time of initial remission in 199 patients with Philadelphia chromosome and MLL negative ALL. Residual p73 methylation was detected in 18 (9.5%) patients, p15 in 33 (17.4%), and p57KIP2 in 7 (3.7%); 140 (74%) patients had methylation of 0 genes and 48 (25%) of 1 gene. In 123 (65%) patients, matched pretreatment samples were also studied and compared to remission ones: in 82 of those with initial aberrant methylation of at least one gene, 59 (72%) had no detectable methylation at remission, and 23 (28%) had detectable residual methylation. By multivariate analysis, presence of residual p73 methylation was associated with a significant shorter duration of first complete remission (HR 2.68, p=0.003), and overall survival (HR 2.69, p=0.002). In conclusion, detection of specific epigenetic alterations may allow the identification of patients with ALL with standard risk disease but with a poor prognosis.

CiteULike Connotea Del.icio.us Digg Reddit Technorati What's this?
|
|