Literature DB >> 22961207

Clinico-epigenetic combination including quantitative methylation value of DKK3 augments survival prediction of the patient with cervical cancer.

Woong-Sun Kang1, Sung Bum Cho, Jun-Soo Park, Moo-Yul Lee, Soon-Chul Myung, Won Yong Kim, Sang-Hoon Lee, Dong-Ho Kim, Eun-Ju Lee.   

Abstract

PURPOSE: DKK3 is a target of methylation in various cancers and has been studied by a non-quantitative method. We assessed the quantitative methylation levels of DKK3 in cervical carcinoma, determined the potential clinical correlations, and tested whether the combination of clinical and epigenetic factors augmented the prediction power of prognosis.
METHODS: Sixty-two patients with cervical squamous cell carcinoma were included in this study. Quantitative methylation levels were evaluated by pyrosequencing. Clinical and pathologic findings were obtained from medical records. Survival data were analyzed using Kaplan-Meier estimates and compared with the log-rank test. The best clinico-epigenetic combinations were found using the Cox proportional hazard model.
RESULTS: Four of five CpG positions of DKK3 were strongly methylated in cervical carcinoma compared to normal controls (p = 0.0048). The methylation in positions 1 and/or 2 were stronger in patients with higher serum levels of the SCC tumor marker and/or larger tumors (p = 0.01). The patients with a methylation level ≥26.3 % at position 1 had a lower survival rate than the patients with methylation levels at position 1 that were <26.3 % (p = 0.03). The combination of methylation level of position 1, position 3, age, parametrial invasion, and lymphovascular space invasion (LVSI) have a significant correlation with survival (p = 0.0006). Recurrence was significantly related to the combination of methylation level of position 2, position 3, age, parametrium, and LVSI (p = 0.0041).
CONCLUSIONS: DKK3 methylation is unfavorable to prognosis. This study defined a threshold level of methylation associated with recurrence-free survival and, furthermore, identified novel clinico-epigenetic combinations predicting disease survival or recurrence.

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Year:  2012        PMID: 22961207     DOI: 10.1007/s00432-012-1262-7

Source DB:  PubMed          Journal:  J Cancer Res Clin Oncol        ISSN: 0171-5216            Impact factor:   4.553


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