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. 2011 May 15;11(10):853-65.
doi: 10.4161/cbt.11.10.15177. Epub 2011 May 15.

Methylated genes in breast cancer: associations with clinical and histopathological features in a familial breast cancer cohort

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Methylated genes in breast cancer: associations with clinical and histopathological features in a familial breast cancer cohort

Theresa Swift-Scanlan et al. Cancer Biol Ther. .

Abstract

Background: Hundreds of hypermethylated genes have been described in breast cancer, yet the nature and contribution of these genes in their methylated state to overall risk and prognosis is under-characterized in non-sporadic breast cancers. We therefore compared associations of DNA methylation with tumor stage, hormone/growth receptor status, and clinical outcomes in a familial breast cancer cohort. Because few previous methylation studies have considered the oncogenic or tumor suppressor properties of their gene sets, this functional status was included as part of our correlative analysis.

Results: We found methylation of oncogenes was associated with better prognostic indicators, whereas tumor suppressor gene methylation was associated with a more severe phenotype in women that were either HER2+ or lymph node positive at diagnosis, and/or tended to recur or develop distant metastases. For example, the methylation of the tumor suppressor gene APC was strongly associated with a specific subset of tumors that were both ER+ and HER2+, while methylation of the TWIST oncogene was associated with breast cancers that did not metastasize.

Methods: This was a retrospective, hospital-based study of n = 99 archival breast tumors derived from women with a germline genetic BRCA1 or BRCA2 mutation and/or familial breast cancer history. DNA methylation was quantified from formalin fixed, paraffin embedded tumors using the established protocol of quantitative multiplex-methylation specific PCR (QM-MSP). Non-parametric statistics were used to analyze candidate gene methylation in association with clinical outcomes.

Conclusion: We report several novel, positive associations between percent methylation of the APC, RASSF1A, TWIST, ERα, CDH1, and Cyclin D2 genes and key variables such as tumor stage, hormone and growth receptor status, and a history of recurrent or metastatic disease. Our data suggest the potential utility of parsing gene methylation by functional status and breast tumor subtype.

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Figures

Figure 1
Figure 1
Percent methylation* by ER, HER2, lymph node status, tumor stage and history of recurrent or metastatic disease. *Percent methylation is based on the log of percent methylation + 1 or log (% M + 1). Percent ERα (A), TWIST (B), CyclinD2 (C), CDH1 (D), AP C (E), RASS F1A (F), HIN1 (G), RARβ (H), BRCA1 (I), BRCA2 (J) methylation by ER, HER2, lymph node status, tumor stage and history of recurrent or metastatic disease.
Figure 1
Figure 1
Percent methylation* by ER, HER2, lymph node status, tumor stage and history of recurrent or metastatic disease. *Percent methylation is based on the log of percent methylation + 1 or log (% M + 1). Percent ERα (A), TWIST (B), CyclinD2 (C), CDH1 (D), AP C (E), RASS F1A (F), HIN1 (G), RARβ (H), BRCA1 (I), BRCA2 (J) methylation by ER, HER2, lymph node status, tumor stage and history of recurrent or metastatic disease.
Figure 1
Figure 1
Percent methylation* by ER, HER2, lymph node status, tumor stage and history of recurrent or metastatic disease. *Percent methylation is based on the log of percent methylation + 1 or log (% M + 1). Percent ERα (A), TWIST (B), CyclinD2 (C), CDH1 (D), AP C (E), RASS F1A (F), HIN1 (G), RARβ (H), BRCA1 (I), BRCA2 (J) methylation by ER, HER2, lymph node status, tumor stage and history of recurrent or metastatic disease.
Figure 1
Figure 1
Percent methylation* by ER, HER2, lymph node status, tumor stage and history of recurrent or metastatic disease. *Percent methylation is based on the log of percent methylation + 1 or log (% M + 1). Percent ERα (A), TWIST (B), CyclinD2 (C), CDH1 (D), AP C (E), RASS F1A (F), HIN1 (G), RARβ (H), BRCA1 (I), BRCA2 (J) methylation by ER, HER2, lymph node status, tumor stage and history of recurrent or metastatic disease.
Figure 1
Figure 1
Percent methylation* by ER, HER2, lymph node status, tumor stage and history of recurrent or metastatic disease. *Percent methylation is based on the log of percent methylation + 1 or log (% M + 1). Percent ERα (A), TWIST (B), CyclinD2 (C), CDH1 (D), AP C (E), RASS F1A (F), HIN1 (G), RARβ (H), BRCA1 (I), BRCA2 (J) methylation by ER, HER2, lymph node status, tumor stage and history of recurrent or metastatic disease.

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References

    1. Flanagan JM, Cocciardi S, Waddell N, Johnstone CN, Marsh A, Henderson S, et al. DNA methylome of familial breast cancer identifies distinct profiles defined by mutation status. Am J Hum Genet. 2010;86:420–433. - PMC - PubMed
    1. Jin W, Chen L, Chen Y, Xu SG, Di GH, Yin WJ, et al. UHRF1 is associated with epigenetic silencing of BRCA1 in sporadic breast cancer. Breast Cancer Res Treat. 2010;123:359–373. - PubMed
    1. Suijkerbuijk KP, Fackler MJ, Sukumar S, van Gils CH, van Laar T, van der Wall E, et al. Methylation is less abundant in BRCA1-associated compared with sporadic breast cancer. Ann Oncol. 2008;19:1870–1874. - PMC - PubMed
    1. Wei M, Xu J, Dignam J, Nanda R, Sveen L, Fackenthal J, et al. Estrogen receptor alpha, BRCA1 and FANCF promoter methylation occur in distinct subsets of sporadic breast cancers. Breast Cancer Res Treat. 2008;111:113–120. - PMC - PubMed
    1. Fackler MJ, Malone K, Zhang Z, Schilling E, Garrett-Mayer E, Swift-Scanlan T, et al. Quantitative multiplex methylation-specific PCR analysis doubles detection of tumor cells in breast ductal fluid. Clin Cancer Res. 2006;12:3306–3310. - PubMed

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