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Maat, M.F.G. de; Velde, C.J.H. van de; Benard, A.; Putter, H.; Morreau, H.; Krieken, J.H.J.M. van; ... ; Hoon, D.S.B. (2010)

Identification of a Quantitative MINT Locus Methylation Profile Predicting Local Regional Recurrence of Rectal

Article / Letter to editor
Purpose: Risk assessment for locoregional disease recurrence would be highly valuable in preoperative treatment planning for patients undergoing primary rectal tumor resection. Epigenetic aberrations such as DNA methylation have been shown to be significant prognostic biomarkers of disease outcome. In this study, we evaluated the significance of a quantitative epigenetic multimarker panel analysis of primary tumors to predict local recurrence in rectal cancer patients from a retrospective multicenter clinical trial. Experimental Design: Primary tumors were studied from patients enrolled in the trial who underwent total mesorectal excision for rectal cancer (n = 325). Methylation levels of seven methylated-in-tumor (MINT) loci were assessed by absolute quantitative assessment of methylated alleles. Unsupervised random forest clustering of quantitative MINT methylation data was used to show subclassification into groups with matching methylation profiles. Results: Variable importance...Show morePurpose: Risk assessment for locoregional disease recurrence would be highly valuable in preoperative treatment planning for patients undergoing primary rectal tumor resection. Epigenetic aberrations such as DNA methylation have been shown to be significant prognostic biomarkers of disease outcome. In this study, we evaluated the significance of a quantitative epigenetic multimarker panel analysis of primary tumors to predict local recurrence in rectal cancer patients from a retrospective multicenter clinical trial. Experimental Design: Primary tumors were studied from patients enrolled in the trial who underwent total mesorectal excision for rectal cancer (n = 325). Methylation levels of seven methylated-in-tumor (MINT) loci were assessed by absolute quantitative assessment of methylated alleles. Unsupervised random forest clustering of quantitative MINT methylation data was used to show subclassification into groups with matching methylation profiles. Results: Variable importance parameters [Gini-Index (GI)] of the clustering algorithm indicated MINT3 and MINT17 (GI, 20.2 and 20.7, respectively) to be informative for patient grouping compared with the other MINT loci (highest GI, 12.2). When using this two-biomarker panel, four different patient clusters were identified. One cluster containing 73% (184 of 251) of the patients was at significantly increased risk of local recurrence (hazard ratio, 10.23; 95% confidence interval, 1.38-75.91) in multivariate analysis, corrected for standard prognostic factors of rectal cancer. This group showed a significantly higher local recurrence probability than patients receiving preoperative radiation (P < 0.0001). Conclusion: Quantitative epigenetic subclassification of rectal cancers has clinical utility in distinguishing tumors with increased risk for local recurrence and may help tailor treatment regimens for locoregional control. Clin Cancer Res; 16(10); 2811-8. (C) 2010 AACR.Show less
total mesorectal excision transfer-rna synthetase preoperative radiotherapy dna methylation randomized-trial gastric-cancer epigenetic inactivation colon-cancer stage-iii multicenter
All authors
Maat, M.F.G. de; Velde, C.J.H. van de; Benard, A.; Putter, H.; Morreau, H.; Krieken, J.H.J.M. van; Klein-Kranenbarg, E.M.; Graaf, E.J. de; Tollenaar, R.A.E.M.; Hoon, D.S.B.
Date
2010-05-15
Journal
Clinical Cancer Research
Volume
16
Issue
10
Pages
2811 - 2818
DOI
doi:10.1158/1078-0432.CCR-09-2717