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Prognostic significance of gene-specific promoter hypermethylation in breast cancer patients

Authors :
Yu Jing Zhang
Marilie D. Gammon
Hanina Hibshoosh
Regina M. Santella
Alfred I. Neugut
Jia Chen
Jing Shen
Xinran Xu
Qiao Wang
Gail C. Garbowski
Yoon Hee Cho
Karina Gonzalez
Patrick T. Bradshaw
Susan L. Teitelbaum
Source :
Breast Cancer Research and Treatment. 131:197-205
Publication Year :
2011
Publisher :
Springer Science and Business Media LLC, 2011.

Abstract

The association between promoter methylation status and survival was investigated in a large cohort of women with breast cancer, participants in the Long Island Breast Cancer Study Project. Archived tumor tissues (n = 839) were collected from women diagnosed with a first primary invasive or in situ breast cancer in 1996-1997. Vital status was followed through the end of 2005 with a mean follow-up time of 8 years. Promoter methylation of eight breast cancer-related genes was assessed by Methy- Light. The frequencies of methylation for HIN1, RASSF1A, DAPK1, GSTP1, CyclinD2, TWIST, CDH1 and RARb were 62.9, 85.2, 14.1, 27.8, 19.6, 15.3, 5.8 and 27.6%, respec- tively. Since survival rates of in situ and invasive breast cancers are substantially different, survival analyses were conducted within 670 invasive cases with complete data on all genes. Age-adjusted Cox proportional hazards models revealed that GSTP1, TWIST and RARb methylation was significantly associated with higher breast cancer-specific mortality. Methylation of GSTP1 and RARb was signifi- cantly associated with higher all-cause mortality. To investigate the relationship between the number of meth- ylated genes and breast cancer-specific mortality, we included previously published MethyLight data on p16 and APC methylation status. Breast cancer-specific mortality increased in a dose-dependent manner with increasing number of methylated genes (Ptrend = 0.002), although confidence intervals were wide. Our results suggest that promoter methylation, particularly for a panel of genes, has the potential to be used as a biomarker for predicting prognosis in breast cancer.

Details

ISSN :
15737217 and 01676806
Volume :
131
Database :
OpenAIRE
Journal :
Breast Cancer Research and Treatment
Accession number :
edsair.doi.dedup.....e758b3f2d154f8a450ad435ed7eae9ed