Epigenetic Profiles Distinguish Pleural Mesothelioma from Normal Pleura and Predict Lung Asbestos Burden and Clinical Outcome

Brock C. Christensen(Brown University), E. Andrés Houseman(University of Massachusetts Lowell), John J. Godleski(Harvard University), Carmen J. Marsit(Brown University), Jennifer L. Longacker(Boston University), Cora Roelofs(University of Massachusetts Lowell), Margaret R. Karagas(Dartmouth Psychiatric Research Center), Margaret Wrensch(Neurological Surgery), Ru-Fang Yeh(University of California, San Francisco), Heather H. Nelson(University of Minnesota), Joe Wiemels(University of California, San Francisco), Shichun Zheng(Neurological Surgery), John K. Wiencke(Neurological Surgery), Raphael Bueno(Brigham and Women's Hospital), David J. Sugarbaker(Brigham and Women's Hospital), Karl T. Kelsey(Brown University)
Cancer Research
December 31, 2008
Cited by 154Open Access
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Abstract

Mechanisms of action of nonmutagenic carcinogens such as asbestos remain poorly characterized. As pleural mesothelioma is known to have limited numbers of genetic mutations, we aimed to characterize the relationships among gene-locus-specific methylation alterations, disease status, asbestos burden, and survival in this rapidly fatal asbestos-associated tumor. Methylation of 1505 CpG loci associated with 803 cancer-related genes were studied in 158 pleural mesotheliomas and 18 normal pleura. After false-discovery rate correction, 969 CpG loci were independently associated with disease status (Q < 0.05). Classifying samples based on CpG methylation profile with a mixture model approach, methylation classes discriminated tumor from normal pleura (permutation P < 0.0001). In a random forests classification, the overall misclassification error rate was 3.4%, with <1% (n = 1) of tumors misclassified as normal (P < 0.0001). Among tumors, methylation class membership was significantly associated with lung tissue asbestos body burden (P < 0.03), and significantly predicted survival (likelihood ratio P < 0.01). Consistent with prior work, asbestos burden was associated with an increased risk of death (hazard ratio, 1.4; 95% confidence interval, 1.1-1.8). Our results have shown that methylation profiles powerfully differentiate diseased pleura from nontumor pleura and that asbestos burden and methylation profiles are independent predictors of mesothelioma patient survival. We have added to the growing body of evidence that cellular epigenetic dysregulation is a critical mode of action for asbestos in the induction of pleural mesothelioma. Importantly, these findings hold great promise for using epigenetic profiling in the diagnosis and prognosis of human cancers.


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