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Supplementary Table 1 from Methylation of Serum DNA Is an Independent Prognostic Marker in Colorectal Cancer

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posted on 2023-03-31, 16:07 authored by Maike Wallner, Andreas Herbst, Andrea Behrens, Alexander Crispin, Petra Stieber, Burkhard Göke, Rolf Lamerz, Frank T. Kolligs
Supplementary Table 1 from Methylation of Serum DNA Is an Independent Prognostic Marker in Colorectal Cancer

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ARTICLE ABSTRACT

Purpose: Aberrant CpG island hypermethylation is a feature of a subgroup of colorectal cancers, which can be detected in the serum of affected patients. This study was designed to identify methylation targets with prognostic significance in the serum of patients with colorectal cancer.Experimental Design: In a gene evaluation set consisting of sera from 24 patients with local colorectal cancers, 14 with metastasized disease, and 20 healthy controls, the genes HPP1/TPEF, HLTF, and hMLH1 were identified as potential serum DNA methylation markers. These genes were further analyzed in a test set of sera of 104 patients with colorectal cancer.Results: Methylation of HLTF, HPP1/TPEF, and hMLH1 was found to be significantly correlated with tumor size, and methylation of HLTF and HPP1/TPEF was significantly associated with metastatic disease and tumor stage. Moreover, methylation of HPP1/TPEF was also associated with serum carcinoembryonic antigen. The prognostic relevance of methylation of these genes was tested in pretherapeutic sera of 77 patients with known follow-up. Patients with methylation of HPP1/TPEF or HLTF were found to have unfavorable prognosis (P = 0.001 and 0.008). In contrast, serum methylation of hMLH1 was not associated with a higher risk of death. Multivariate analysis showed methylated HPP1 and/or HLTF serum DNA to be independently associated with poor outcome and a relative risk of death of 3.4 (95% confidence interval, 1.4-8.1; P = 0.007).Conclusions: These data show that the methylation status of specific genes in the serum of patients with colorectal cancer has the potential to become a pretherapeutic predictor of outcome.

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