Frequent aberrant DNA methylation of ABCB1, FOXC1, PPP2R2B and PTEN in ductal carcinoma in situ and early invasive breast cancer
- Aslaug Aa Muggerud†1, 2,
- Jo Anders Rønneberg†1, 2,
- Fredrik Wärnberg3,
- Johan Botling4,
- Florence Busato9,
- Jovana Jovanovic5,
- Hiroko Solvang1, 10,
- Ida Bukholm6,
- Anne-Lise Børresen-Dale1, 2,
- Vessela N Kristensen1, 5, 7Email author,
- Therese Sørlie1, 8 and
- Jörg Tost9
© Muggerud et al.; licensee BioMed Central Ltd. 2010
Received: 26 March 2009
Accepted: 7 January 2010
Published: 7 January 2010
Ductal carcinoma in situ (DCIS) is a non-invasive lesion of the breast that is frequently detected by mammography and subsequently removed by surgery. However, it is estimated that about half of the detected lesions would never have progressed into invasive cancer. Identifying DCIS and invasive cancer specific epigenetic lesions and understanding how these epigenetic changes are involved in triggering tumour progression is important for a better understanding of which lesions are at risk of becoming invasive.
Quantitative DNA methylation analysis of ABCB1, CDKN2A/p16 INK4a , ESR1, FOXC1, GSTP1, IGF2, MGMT, MLH1, PPP2R2B, PTEN and RASSF1A was performed by pyrosequencing in a series of 27 pure DCIS, 28 small invasive ductal carcinomas (IDCs), 34 IDCs with a DCIS component and 5 normal breast tissue samples. FOXC1, ABCB1, PPP2R2B and PTEN were analyzed in 23 additional normal breast tissue samples. Real-Time PCR expression analysis was performed for FOXC1.
Aberrant DNA methylation was observed in all three diagnosis groups for the following genes: ABCB1, FOXC1, GSTP1, MGMT, MLH1, PPP2R2B, PTEN and RASSF1A. For most of these genes, methylation was already present at the DCIS level with the same frequency as within IDCs. For FOXC1 significant differences in methylation levels were observed between normal breast tissue and invasive tumours (P < 0.001). The average DNA methylation levels were significantly higher in the pure IDCs and IDCs with DCIS compared to pure DCIS (P = 0.007 and P = 0.001, respectively). Real-time PCR analysis of FOXC1 expression from 25 DCIS, 23 IDCs and 28 normal tissue samples showed lower gene expression levels of FOXC1 in both methylated and unmethylated tumours compared to normal tissue (P < 0.001). DNA methylation levels of FOXC1, GSTP1, ABCB1 and RASSF1A were higher in oestrogen receptor (ER) positive vs. ER negative tumours; whereas methylation levels of FOXC1, ABCB1, PPP2R2B and PTEN were lower in tumours with a TP53 mutation.
Quantitative methylation analysis identified ABCB1, FOXC1, PPP2R2B and PTEN as novel genes to be methylated in DCIS. In particular, FOXC1 showed a significant increase in the methylation frequency in invasive tumours. Low FOXC1 gene expression in both methylated and unmethylated DCIS and IDCs indicates that the loss of its expression is an early event during breast cancer progression.
The multistep model of breast cancer progression suggests a transition from normal epithelium to invasive carcinoma via intraductal hyperplasia and in situ carcinoma . These presumptive precursor lesions are currently defined by their histological features. Ductal carcinoma in situ (DCIS) is a pre-invasive lesion with diverse histological morphologies and molecular alterations . The risk of DCIS progressing to invasive carcinoma is not well ascertained and robust biomarkers capable of stratifying the most aggressive from the more benign forms of the disease are currently lacking.
Cancer progression is due to the accumulation of genomic alterations leading to oncogene overexpression and tumour suppressor loss inducing growth advantage and clonal expansion. The transition of DCIS to invasive ductal cancer (IDC) is a poorly understood key event in breast tumour progression. Copy number alterations are already present in DCIS but their frequency tends to increase in IDCs . Such genomic aberrations lead to altered gene expression, and comprehensive gene expression studies comparing DCIS and IDCs have identified stage-specific markers ([4–6] and Muggerud et al., submitted) along with a gene expression classifier which differed between DCIS and invasive breast cancer . On the other hand, the frequency of TP53 mutations in DCIS is similar to what is observed in invasive tumours and in situ and invasive components from the same tumour exhibit the same mutations, indicating the same cellular origin of the two components [8–10].
Epigenetic changes are considered to be an early event during tumour development and one of the hallmarks of cancer . Hypermethylation of CpG islands represents an alternative mechanism to inactivate tumour suppressor genes and is a prevalent early molecular marker for cancer. Specific patterns of CpG island methylation could result from clonal selection of cells having growth advantages due to silencing of associated tumour suppressor genes, DNA repair genes, cell-cycle regulators and transcription factors. Previous candidate gene studies investigated promoter hypermethylation of in situ lesions and identified aberrant methylation at the promoters of GSTP1, CyclinD2, RARB2, Twist, RASSF1A, HIN-1, CDKN2A, 14-3-3σ and APC1 [12–17]. However, only GSTP1 promoter hypermethylation was reported to progress in frequency during breast carcinogenesis .
Identification of early epigenetic changes in DCIS lesions might give valuable markers for early detection and may contribute to the understanding of how these changes affect the progression of the disease. The aim of this study was to identify informative progression markers by methylation analyses of eleven genes known to be methylated in breast tumours or breast cancer cell lines; ABCB1 , CDKN2A/p16 INK4a , ESR1 , GSTP1 , IGF2 , MGMT , MLH1 , PPP2R2B , PTEN , RASSF1A  or displaying variation in breast cancer sub-type gene expression profiles; FOXC1.
In a series of 27 DCIS, 28 IDCs, 34 mixed cases (invasive tumours with in situ components) and 28 normal tissues we show that methylation of CpG islands is already detectable in DCIS with the same frequency as within IDCs.
Materials and methods
Oestrogen receptor status
Progesterone receptor status
Grade, I to III and/or A to C
Grade A/I (DCIS/invasive)
Grade B/II (DCIS/invasive)
Grade C/III (DCIS/invasive)
The entire coding sequence of the TP53 gene (exon 2-11) was analyzed for mutations by sequencing using the 3730 DNA Analyzer (Applied Biosystems, Foster City, California, USA) . Immunohistochemical staining (IHC) of paraffin embedded material was performed for the oestrogen receptor (ER), progesterone receptor (PR) and a proliferation marker (Ki-67). A cut-off limit for positive staining was chosen for ER >10% (ER 6F11, Novocastra, Newcastle, UK), PR >10% (PR 1A6, Novocastra) and Ki-67 >10% (Ki-67 MIB-1, DAKO A/S, Glostrup, Denmark) stained tumour cells, irrespective of the intensity of the staining. Staining was performed in an automatic staining machine (Ventana Medical Systems, Tucson, AZ, USA).
A total of 1 μg of DNA was bisulphite converted using the MethylEasy™ HT Kit for Centrifuge (Human Genetic Signatures, North Ryde, New South Wales, Australia) according to the manufacturer's instructions. Quantitative DNA methylation analysis of the bisulphite treated DNA was performed by pyrosequencing or, in case of several sequencing primers, by serial pyrosequencing . Oligonucleotides for PCR amplification and pyrosequencing were synthesized by Biotez (Buch, Germany) and sequences are given in Additional file 1. Quantitative DNA methylation analysis was carried out on a PSQ 96 MD system with the PyroGold SQA Reagent Kit (Pyrosequencing, Biotage, Uppsala, Sweden) and results were analyzed using the Q-CpG software (V.1.0.9, Pyrosequencing AB). Unmethylated commercial DNA (Qiagen, Valencia, CA, USA) and mixed human lymphocyte DNA (Promega, Madison, WI, USA) was analyzed in parallel to define the technical background. CpG-values for tumour and normal tissue samples are given in Additional file 2. Pyrograms for FOXC1 in six tumour samples and three normal tissue samples are given in Additional file 3.
cDNA synthesis and real-time PCR analysis
qRT-PCR was performed on 25 DCIS, 23 pure invasive carcinomas from the same cohort and 28 normal tissues. cDNA was synthesized in a total volume of 20 μl with 100 ng total RNA using the High Capacity cDNA Reverse Transcription kit (Applied Biosystems,) and used as template for real-time PCR analysis with the TaqMan Gene Expression Assay for FOXC1 (Hs00559473_s1, Applied Biosystems,) on an ABI Prism 7900HT sequence detector system (Applied Biosystems). Universal human reference RNA (Stratagene, La Jolla, CA, USA) was used to generate standard curves. Each sample was run in triplicate. Relative gene expression levels were determined using the standard curve method and normalized to the reference gene PGK1. PGK1 was selected as a reference gene because the expression of this gene was not statistically significant different across the patient groups [29, 30]
The average value of methylation for all CpGs in a target region was calculated for each sample and each gene. A sample was scored as aberrantly hypermethylated if the measured methylation values were two times above the standard deviation of the average of the normal controls, and conversely, as hypomethylated if methylation values were below two times the standard deviation of the average of the normal control tissues. Differences in the degree of methylation were determined by two-sided non-parametric Mann-Whitney test for two-categorical clinicopathological factors and Kruskal-Wallis test for three-categorical clinicopathological factors. The P-values were obtained by permutation procedure without any assumption on specific distribution. Correlations between concomitant methylated genes were calculated using Spearman's test. All tests were performed using the Statistical Package for Science version 15.0. For all obtained p-values, the false discovery rate (FDR) was assessed using Benjamini and Hochberg  in the Bioconductor multitest package .
CpG promoter methylation patterns across three breast cancer diagnosis groups
Concomitant DNA methylation was observed between genes at different chromosomes. Methylation at FOXC1 (chr 6p) showed significant correlations to RASSF1A (chr 3p), PPP2R2B (chr 5q), ABCB1 (chr 7q) and GSTP1 (chr 11q) (P = 7.6*10-4 and R2 = 0.34, P = 3.6*10-5 and R2 = 0.41, P = 4.5*10-6 and R2 = 0.46, P = 1.5*10-4 and R2 = 0.38, respectively). In addition methylation at PTEN (chr 10q) was significantly correlated to ABCB1 (chr 7q) and PPP2R2B (chr 5q) methylation (P = 1.4*10-6, R2 = 0.48 and P = 1.0*10-6, R2 = 0.60, respectively). All P-values were obtained with a false discovery rate <5%.
qRT-PCR validation of the expression of FOXC1
The functional impact of FOXC1 methylation on its expression level was investigated by TaqMan qRT-PCR. Both methylated (n = 19) and unmethylated (n = 29) tumours showed significantly lower expression values compared to normal tissue (n = 28, both P < 0.001) (Figure 3B), indicating that the transcriptional inactivation of FOXC1 is an early event during tumour progression.
Methylation profiles associated with clinicopathological features
In the present study we quantitatively determined the methylation levels in the promoter regions of 11 cancer-related genes in DCIS, small invasive breast cancers, mixed lesions and normal breast tissues. Aberrant DNA methylation was already present in DCIS for several of the genes studied. No DNA methylation changes specific for invasive breast cancer were identified.
Previous candidate gene studies have investigated promoter hypermethylation of in situ lesions and have shown methylation for GSTP1, CyclinD2, RARB2, Twist, RASSF1A, HIN-1, CDKN2A, 14-3-3σ [12–14, 16]. We found frequencies of methylation for RASSF1A in both DCIS and invasive tumours similar to previously published reports ranging from 60 to 88% in different populations [14, 15]. Results seem thus to be very consistent over different technology platforms identifying the epigenetic inactivation of RASSF1A as a very early step during breast carcinogenesis. GSTP1 has been found to be frequently methylated in different stages of breast carcinomas. Again, similar frequencies of 20 to 30% were found here for GSTP1 compared with recent reports [21, 33–35]. In this study, methylation of MGMT was rare in both DCIS and invasive tumours, also in concordance with previous studies . Infrequent methylation was also observed for the MLH1 gene, in line with the absence of changes in MLH1 expression during early breast carcinogenesis as assessed by IHC [37, 38]. We also found minimal methylation of CDKN2A within the CpGs studied here, which is in concordance with a previous study on DCIS and other proliferative lesions of the breast . No methylation of ESR1 was observed in this study, although we have used the commonly studied region 400 bp downstream of ESR1 transcription start site. A previous study observed methylation in DCIS samples , however they could not show significant differences between normal and diseased tissue in North-American and Korean populations. A study by Feng et al. (2007) shows the same result as we report with no increase in ESR1 methylation in malignant compared to normal breast tissues . However, we can not exclude the possibility that the reason why we are not able to detect any ESR1 methylation is that pyrosequencing is less sensitive compared to the Q-MSP technology used in .
A novel finding of our study was the identification of aberrant DNA methylation of ABCB1, FOXC1, PPP2R2B and PTEN in DCIS. The methylation frequencies were similar in all diagnosis groups for ABCB1, PPP2R2B and PTEN. PTEN and PPP2R2B are both candidate tumour suppressor genes [23, 40] and our results suggest that epigenetic silencing might be involved in dysregulation of these genes in DCIS. We have observed the methylation of PPP2R2B in locally advanced breast tumours (Dejeux et al, submitted for publication), and PTEN has been found to be frequently methylated in breast carcinomas [24, 41]. ABCB1 is an ATP dependent p-glycoprotein involved in the efflux of various small molecules and xenobiotics in extra and intracellular membranes. Association of DNA methylation of ABCB1 and drug resistance in breast cancer cell-lines has been reported , and ABCB1 expression has been associated with poor outcome in breast cancer patients . We have observed that ABCB1 methylation is important for treatment response and overall survival in patients with advanced breast cancer treated with doxorubicin (Dejeux E, et al. submitted). In this study, ABCB1 methylation was associated with non-proliferative, Ki67 negative tumours supporting a positive role for ABCB1 methylation in breast cancer progression and outcome. FOXC1 is a transcription factor with an important role in the regulation of ocular development . FOXC1 is hypomethylated and highly expressed in CD44+ breast progenitor cells and might play an important role in the differentiation of mammary epithelial cell phenotypes . In our data set, FOXC1 displayed a significantly increased methylation levels from normal breast tissue to invasive tumours with simultaneously lower FOXC1 gene expression as measured by qRT-PCR. The tumours with less methylation and somewhat higher expression of FOXC1 (Figure 3B) tended to be of the basal-like and normal-like breast cancer subtypes, as determined by gene expression profiling. Luminal B-like and ERBB2-like tumours had significantly lower FOXC1 expression (P = 0.026 and P = 0.018, respectively) compared to the basal-like tumours whereas no statistical significance was found for basal vs. luminal A-like tumours (P = 0.134) (Muggerud A et al., unpublished results). This supports the view of heterogeneous FOXC1 expression across molecular subtypes, which is in concordance with previously reported results . Bloushtain-Qimron et al reported also increased methylation in matched distant metastases compared to the primary tumours, supporting a differential role for FOXC1-methylated cells in the progression of the disease. The 28 normal breast tissue samples analysed in this study displayed on average significantly higher levels of FOXC1 gene expression compared to the DCIS, small invasive and mixed lesions. Both the methylated and unmethylated DCISs and invasive tumours displayed significantly lower levels of FOXC1 gene expression. This might indicate that histone modifications or other mechanisms in addition to promoter hypermethylation silence FOXC1 in the unmethylated tumours. Further studies are needed to investigate the functional consequence of this increase of DNA methylation and the potential role of FOXC1 in the progression from DCIS to invasive carcinoma.
Concomitant DNA methylation was observed between some of the genes studied suggesting connected epigenetic programs within tumours. In line with our result, significant correlation between GSTP1 and RASSF1A hypermethylation has previously been reported . The chromosomal region 6p25 harbouring the FOXC1 gene is frequently gained in ER negative tumours  in line with our observation of low DNA methylation and high expression in basal and normal-like tumours. The other chromosomal regions harbouring the genes with a high correlation to FOXC1 methylation have all been reported to either have gain or losses in breast cancer [48–50]. It is possible that concomitant DNA hypomethylation in these regions could induce chromosomal instability of the same regions as reported in colon cancer .
By unsupervised hierarchical clustering analysis of a number of methylation markers and tumours from 148 breast cancer patients, Widschwendter et al. (2004) , showed that the tumours segregated naturally into groups with distinct methylation profiles that differed significantly in their hormone receptor status. Further, other studies have focused on the epigenetic differences between ER positive and ER negative breast cancers and their results imply that methylation profiles of ER-positive tumours are different from those of ER-negative tumours [39, 46]. Moreover they found that promoter hypermethylation of RASSF1A and GSTP1 was more frequent in ER-positive than in ER-negative tumours in both early and advanced breast tumours. Our data are consistent with these previous reports suggesting that ER (or hormone receptor) expression may influence epigenetic changes.
Lower levels of DNA methylation were observed in TP53 mutated tumours, especially at FOXC1, ABCB1, PPP2R2B and PTEN promoters. The association of ABCB1 and PPP2R2B with TP53 status is also observed in more advanced tumours (Dejeux et al. submitted). It has also been reported that breast tumours with TP53 mutations lacked methylation in a number of regulatory genes . Further in concordance with our results, Toyota et al.  found a high number of TP53 mutations in unmethylated colorectal tumours suggesting that TP53 mutations and epigenetic alterations of other growth-suppressing genes can be two distinct mechanisms that inactivate tumour-suppressor genes in breast cancer. Similar to the results of  we could not find associations between histopathological grade and DNA methylation patterns among the samples and genes investigated. This might be due to independency of grade for this limited gene panel investigated or the relatively small cohort size.
Almost all genes methylated in DCIS and IDC have been identified using candidate gene approaches. Genome-wide methylation studies might provide useful in identifying new DNA methylation events occurring during early breast tumourigenesis. Since this study was designed to find differences related to tumour progression from in situ to invasive breast cancer, follow-up studies are needed to investigate these biological markers and their potential in predicting prognosis.
This study has identified four novel genes as methylated in DCIS; ABCB1, FOXC1, PPP2R2B and PTEN. Their role in the progression from in situ to invasive carcinoma needs further investigation. Furthermore, these analyses demonstrate that promoter methylation is an early and frequent event in breast cancer and most of the genes that are found to be methylated in advanced breast tumours are already found methylated in DCIS.
ductal carcinoma in situ
false discovery rate
invasive ductal carcinoma
polymerase chain reaction
quantitative methyl-specific PCR
quantitative real-time PCR.
This study was supported by the Norwegian Cancer Society (PR-2006-0332 to TS and D-03067 to VNK), the Norwegian Research Council (163027/V409 to TS), the French-Norwegian cooperation program Aurora grant 15842WE (to VNK and JT) and the Swedish Cancer Society (4920-B06-03PCD to FW). AAM is a fellow of the Norwegian Cancer Society. JAR is a fellow of the Faculty of Medicine, University of Oslo.
- Chin K, de Solorzano CO, Knowles D, Jones A, Chou W, Rodriguez EG, Kuo WL, Ljung BM, Chew K, Myambo K, Miranda M, Krig S, Garbe J, Stampfer M, Yaswen P, Gray JW, Lockett SJ: In situ analyses of genome instability in breast cancer. Nat Genet. 2004, 36: 984-988. 10.1038/ng1409.PubMedView ArticleGoogle Scholar
- Wiechmann L, Kuerer HM: The molecular journey from ductal carcinoma in situ to invasive breast cancer. Cancer. 2008, 112: 2130-2142. 10.1002/cncr.23430.PubMedView ArticleGoogle Scholar
- Yao J, Weremowicz S, Feng B, Gentleman RC, Marks JR, Gelman R, Brennan C, Polyak K: Combined cDNA array comparative genomic hybridization and serial analysis of gene expression analysis of breast tumor progression. Cancer Res. 2006, 66: 4065-4078. 10.1158/0008-5472.CAN-05-4083.PubMedView ArticleGoogle Scholar
- Ma XJ, Salunga R, Tuggle JT, Gaudet J, Enright E, McQuary P, Payette T, Pistone M, Stecker K, Zhang BM, Zhou YX, Varnholt H, Smith B, Gadd M, Chatfield E, Kessler J, Baer TM, Erlander MG, Sgroi DC: Gene expression profiles of human breast cancer progression. Proc Natl Acad Sci USA. 2003, 100: 5974-5979. 10.1073/pnas.0931261100.PubMedPubMed CentralView ArticleGoogle Scholar
- Schuetz CS, Bonin M, Clare SE, Nieselt K, Sotlar K, Walter M, Fehm T, Solomayer E, Riess O, Wallwiener D, Kurek R, Neubauer HJ: Progression-specific genes identified by expression profiling of matched ductal carcinomas in situ and invasive breast tumors, combining laser capture microdissection and oligonucleotide microarray analysis. Cancer Res. 2006, 66: 5278-5286. 10.1158/0008-5472.CAN-05-4610.PubMedView ArticleGoogle Scholar
- Porter D, Lahti-Domenici J, Keshaviah A, Bae YK, Argani P, Marks J, Richardson A, Cooper A, Strausberg R, Riggins GJ, Schnitt S, Gabrielson E, Gelman R, Polyak K: Molecular markers in ductal carcinoma in situ of the breast. Mol Cancer Res. 2003, 1: 362-375.PubMedGoogle Scholar
- Hannemann J, Velds A, Halfwerk JB, Kreike B, Peterse JL, Vijver van de MJ: Classification of ductal carcinoma in situ by gene expression profiling. Breast Cancer Res. 2006, 8: R61-10.1186/bcr1613.PubMedPubMed CentralView ArticleGoogle Scholar
- Lukas J, Niu N, Press MF: p53 mutations and expression in breast carcinoma in situ. Am J Pathol. 2000, 156: 183-191.PubMedPubMed CentralView ArticleGoogle Scholar
- Done SJ, Eskandarian S, Bull S, Redston M, Andrulis IL: p53 missense mutations in microdissected high-grade ductal carcinoma in situ of the breast. J Natl Cancer Inst. 2001, 93: 700-704. 10.1093/jnci/93.9.700.PubMedView ArticleGoogle Scholar
- Zhou W, Muggerud AA, Vu P, Due EU, Sorlie T, Borresen-Dale AL, Warnberg F, Langerod A: Full sequencing of TP53 identifies identical mutations within in situ and invasive components in breast cancer suggesting clonal evolution. Mol Oncol. 2009,Google Scholar
- Jones PA, Baylin SB: The epigenomics of cancer. Cell. 2007, 128: 683-692. 10.1016/j.cell.2007.01.029.PubMedPubMed CentralView ArticleGoogle Scholar
- Lee JS: GSTP1 promoter hypermethylation is an early event in breast carcinogenesis. Virchows Arch. 2007, 450: 637-642. 10.1007/s00428-007-0421-8.PubMedView ArticleGoogle Scholar
- Evron E, Dooley WC, Umbricht CB, Rosenthal D, Sacchi N, Gabrielson E, Soito AB, Hung DT, Ljung B, Davidson NE, Sukumar S: Detection of breast cancer cells in ductal lavage fluid by methylation-specific PCR. Lancet. 2001, 357: 1335-1336. 10.1016/S0140-6736(00)04501-3.PubMedView ArticleGoogle Scholar
- Fackler MJ, McVeigh M, Evron E, Garrett E, Mehrotra J, Polyak K, Sukumar S, Argani P: DNA methylation of RASSF1A, HIN-1, RAR-beta, Cyclin D2 and Twist in in situ and invasive lobular breast carcinoma. Int J Cancer. 2003, 107: 970-975. 10.1002/ijc.11508.PubMedView ArticleGoogle Scholar
- Lee JS, Fackler MJ, Teo WW, Lee JH, Choi C, Park MH, Yoon JH, Zhang Z, Argani P, Sukumar S: Quantitative promoter hypermethylation profiles of ductal carcinoma in situ in North American and Korean women: Potential applications for diagnosis. Cancer Biol Ther. 2008, 7: 1398-1406. 10.1158/1535-7163.MCT-08-0192.PubMedView ArticleGoogle Scholar
- Lehmann U, Langer F, Feist H, Glockner S, Hasemeier B, Kreipe H: Quantitative assessment of promoter hypermethylation during breast cancer development. Am J Pathol. 2002, 160: 605-612.PubMedPubMed CentralView ArticleGoogle Scholar
- Honorio S, Agathanggelou A, Schuermann M, Pankow W, Viacava P, Maher ER, Latif F: Detection of RASSF1A aberrant promoter hypermethylation in sputum from chronic smokers and ductal carcinoma in situ from breast cancer patients. Oncogene. 2003, 22: 147-150. 10.1038/sj.onc.1206057.PubMedView ArticleGoogle Scholar
- David GL, Yegnasubramanian S, Kumar A, Marchi VL, De Marzo AM, Lin X, Nelson WG: MDR1 promoter hypermethylation in MCF-7 human breast cancer cells: changes in chromatin structure induced by treatment with 5-Aza-cytidine. Cancer Biol Ther. 2004, 3: 540-548.PubMedView ArticleGoogle Scholar
- Esteller M, Corn PG, Baylin SB, Herman JG: A gene hypermethylation profile of human cancer. Cancer Res. 2001, 61: 3225-3229.PubMedGoogle Scholar
- Lapidus RG, Nass SJ, Butash KA, Parl FF, Weitzman SA, Graff JG, Herman JG, Davidson NE: Mapping of ER gene CpG island methylation-specific polymerase chain reaction. Cancer Res. 1998, 58: 2515-2519.PubMedGoogle Scholar
- Esteller M, Corn PG, Urena JM, Gabrielson E, Baylin SB, Herman JG: Inactivation of glutathione S-transferase P1 gene by promoter hypermethylation in human neoplasia. Cancer Res. 1998, 58: 4515-4518.PubMedGoogle Scholar
- Issa JP, Vertino PM, Boehm CD, Newsham IF, Baylin SB: Switch from monoallelic to biallelic human IGF2 promoter methylation during aging and carcinogenesis. Proc Natl Acad Sci USA. 1996, 93: 11757-11762. 10.1073/pnas.93.21.11757.PubMedPubMed CentralView ArticleGoogle Scholar
- Keen JC, Garrett-Mayer E, Pettit C, Mack KM, Manning J, Herman JG, Davidson NE: Epigenetic regulation of protein phosphatase 2A (PP2A), lymphotactin (XCL1) and estrogen receptor alpha (ER) expression in human breast cancer cells. Cancer Biol Ther. 2004, 3: 1304-1312.PubMedView ArticleGoogle Scholar
- Garcia JM, Silva J, Pena C, Garcia V, Rodriguez R, Cruz MA, Cantos B, Provencio M, Espana P, Bonilla F: Promoter methylation of the PTEN gene is a common molecular change in breast cancer. Genes Chromosomes Cancer. 2004, 41: 117-124. 10.1002/gcc.20062.PubMedView ArticleGoogle Scholar
- Yan PS, Shi H, Rahmatpanah F, Hsiau TH, Hsiau AH, Leu YW, Liu JC, Huang TH: Differential distribution of DNA methylation within the RASSF1A CpG island in breast cancer. Cancer Res. 2003, 63: 6178-6186.PubMedGoogle Scholar
- Holland R, Peterse JL, Millis RR, Eusebi V, Faverly D, Vijver van de M, Zafrani B: Ductal carcinoma in situ: a proposal for a new classification. Semin Diagn Pathol. 1994, 11: 167-180.PubMedGoogle Scholar
- Elston CW, Ellis IO: Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up. Histopathology. 1991, 19: 403-410. 10.1111/j.1365-2559.1991.tb00229.x.PubMedView ArticleGoogle Scholar
- Tost J, Gut IG: DNA methylation analysis by pyrosequencing. Nat Protoc. 2007, 2: 2265-2275. 10.1038/nprot.2007.314.PubMedView ArticleGoogle Scholar
- Kuijk EW, du Puy L, van Tol HT, Haagsman HP, Colenbrander B, Roelen BA: Validation of reference genes for quantitative RT-PCR studies in porcine oocytes and preimplantation embryos. BMC Dev Biol. 2007, 7: 58-10.1186/1471-213X-7-58.PubMedPubMed CentralView ArticleGoogle Scholar
- Boda E, Pini A, Hoxha E, Parolisi R, Tempia F: Selection of reference genes for quantitative real-time RT-PCR studies in mouse brain. J Mol Neurosci. 2009, 37: 238-253. 10.1007/s12031-008-9128-9.PubMedView ArticleGoogle Scholar
- Benjamini Y, Hochberg Y: Controlling the false discovery rate: a practical and powerful approach to multiple testing. J Royal Stat Soc Ser B. 1995, 289-300.Google Scholar
- Bioconductor. [http://www.bioconductor.org/]
- Ronneberg JA, Tost J, Solvang HK, Alnaes GI, Johansen FE, Brendeford EM, Yakhini Z, Gut IG, Lonning PE, Borresen-Dale AL, Gabrielsen OS, Kristensen VN: GSTP1 promoter haplotypes affect DNA methylation levels and promoter activity in breast carcinomas. Cancer Res. 2008, 68: 5562-5571. 10.1158/0008-5472.CAN-07-5828.PubMedView ArticleGoogle Scholar
- Pasquali L, Bedeir A, Ringquist S, Styche A, Bhargava R, Trucco G: Quantification of CpG island methylation in progressive breast lesions from normal to invasive carcinoma. Cancer Lett. 2007, 257: 136-144. 10.1016/j.canlet.2007.07.010.PubMedView ArticleGoogle Scholar
- Parrella P, Poeta ML, Gallo AP, Prencipe M, Scintu M, Apicella A, Rossiello R, Liguoro G, Seripa D, Gravina C, Rabitti C, Rinaldi M, Nicol T, Tommasi S, Paradiso A, Schittulli F, Altomare V, Fazio VM: Nonrandom distribution of aberrant promoter methylation of cancer-related genes in sporadic breast tumors. Clin Cancer Res. 2004, 10: 5349-5354. 10.1158/1078-0432.CCR-04-0555.PubMedView ArticleGoogle Scholar
- Viswanathan M, Solomon SP, Tsuchida N, Selvam GS, Shanmugam G: Methylation of E-cadherin and hMLH1 genes in Indian sporadic breast carcinomas. Indian J Exp Biol. 2006, 44: 115-119.PubMedGoogle Scholar
- Batistatou A, Arkoumani E, Stefanou D: Expression of mismatch repair proteins in invasive and in situ carcinoma of the breast. In Vivo. 2004, 18: 661-666.PubMedGoogle Scholar
- Khilko N, Bourne P, Qi Y, Ping T: Mismatch repair genes hMLH1 and hMSH2 may not play an essential role in breast carcinogenesis. Int J Surg Pathol. 2007, 15: 233-241. 10.1177/1066896907302116.PubMedView ArticleGoogle Scholar
- Feng W, Shen L, Wen S, Rosen DG, Jelinek J, Hu X, Huan S, Huang M, Liu J, Sahin AA, Hunt KK, Bast RC, Shen Y, Issa JP, Yu Y: Correlation between CpG methylation profiles and hormone receptor status in breast cancers. Breast Cancer Res. 2007, 9: R57-10.1186/bcr1762.PubMedPubMed CentralView ArticleGoogle Scholar
- Simpson L, Parsons R: PTEN: life as a tumor suppressor. Exp Cell Res. 2001, 264: 29-41. 10.1006/excr.2000.5130.PubMedView ArticleGoogle Scholar
- Khan S, Kumagai T, Vora J, Bose N, Sehgal I, Koeffler PH, Bose S: PTEN promoter is methylated in a proportion of invasive breast cancers. Int J Cancer. 2004, 112: 407-410. 10.1002/ijc.20447.PubMedView ArticleGoogle Scholar
- Reed K, Hembruff SL, Laberge ML, Villeneuve DJ, Cote GB, Parissenti AM: Hypermethylation of the ABCB1 downstream gene promoter accompanies ABCB1 gene amplification and increased expression in docetaxel-resistant MCF-7 breast tumor cells. Epigenetics. 2008, 3: 270-280.PubMedView ArticleGoogle Scholar
- Atalay C, Demirkazik A, Gunduz U: Role of ABCB1 and ABCC1 gene induction on survival in locally advanced breast cancer. J Chemother. 2008, 20: 734-739.PubMedView ArticleGoogle Scholar
- Lehmann OJ, Sowden JC, Carlsson P, Jordan T, Bhattacharya SS: Fox's in development and disease. Trends Genet. 2003, 19: 339-344. 10.1016/S0168-9525(03)00111-2.PubMedView ArticleGoogle Scholar
- Bloushtain-Qimron N, Yao J, Snyder EL, Shipitsin M, Campbell LL, Mani SA, Hu M, Chen H, Ustyansky V, Antosiewicz JE, Argani P, Halushka MK, Thomson JA, Pharoah P, Porgador A, Sukumar S, Parsons R, Richardson AL, Stampfer MR, Gelman RS, Nikolskaya T, Nikolsky Y, Polyak K: Cell type-specific DNA methylation patterns in the human breast. Proc Natl Acad Sci USA. 2008, 105: 14076-14081. 10.1073/pnas.0805206105.PubMedPubMed CentralView ArticleGoogle Scholar
- Sunami E, Shinozaki M, Sim MS, Nguyen SL, Vu AT, Giuliano AE, Hoon DS: Estrogen receptor and HER2/neu status affect epigenetic differences of tumor-related genes in primary breast tumors. Breast Cancer Res. 2008, 10: R46-10.1186/bcr2098.PubMedPubMed CentralView ArticleGoogle Scholar
- Bergamaschi A, Kim YH, Wang P, Sorlie T, Hernandez-Boussard T, Lonning PE, Tibshirani R, Borresen-Dale AL, Pollack JR: Distinct patterns of DNA copy number alteration are associated with different clinicopathological features and gene-expression subtypes of breast cancer. Genes Chromosomes Cancer. 2006, 45: 1033-1040. 10.1002/gcc.20366.PubMedView ArticleGoogle Scholar
- Chin K, DeVries S, Fridlyand J, Spellman PT, Roydasgupta R, Kuo WL, Lapuk A, Neve RM, Qian Z, Ryder T, Chen F, Feiler H, Tokuyasu T, Kingsley C, Dairkee S, Meng Z, Chew K, Pinkel D, Jain A, Ljung BM, Esserman L, Albertson DG, Waldman FM, Gray JW: Genomic and transcriptional aberrations linked to breast cancer pathophysiologies. Cancer Cell. 2006, 10: 529-541. 10.1016/j.ccr.2006.10.009.PubMedView ArticleGoogle Scholar
- Adelaide J, Finetti P, Bekhouche I, Repellini L, Geneix J, Sircoulomb F, Charafe-Jauffret E, Cervera N, Desplans J, Parzy D, Schoenmakers E, Viens P, Jacquemier J, Birnbaum D, Bertucci F, Chaffanet M: Integrated profiling of basal and luminal breast cancers. Cancer Res. 2007, 67: 11565-11575. 10.1158/0008-5472.CAN-07-2536.PubMedView ArticleGoogle Scholar
- Pinto AE, Roque L, Rodrigues R, Andre S, Soares J: Frequent 7q gains in flow cytometric multiploid/hypertetraploid breast carcinomas: a study of chromosome imbalances by comparative genomic hybridisation. J Clin Pathol. 2006, 59: 367-372. 10.1136/jcp.2005.027722.PubMedPubMed CentralView ArticleGoogle Scholar
- Rodriguez J, Frigola J, Vendrell E, Risques RA, Fraga MF, Morales C, Moreno V, Esteller M, Capella G, Ribas M, Peinado MA: Chromosomal instability correlates with genome-wide DNA demethylation in human primary colorectal cancers. Cancer Res. 2006, 66: 8462-9468. 10.1158/0008-5472.CAN-06-0293.PubMedView ArticleGoogle Scholar
- Widschwendter M, Siegmund KD, Muller HM, Fiegl H, Marth C, Muller-Holzner E, Jones PA, Laird PW: Association of breast cancer DNA methylation profiles with hormone receptor status and response to tamoxifen. Cancer Res. 2004, 64: 3807-3813. 10.1158/0008-5472.CAN-03-3852.PubMedView ArticleGoogle Scholar
- Toyota M, Ohe-Toyota M, Ahuja N, Issa JP: Distinct genetic profiles in colorectal tumors with or without the CpG island methylator phenotype. Proc Natl Acad Sci USA. 2000, 97: 710-715. 10.1073/pnas.97.2.710.PubMedPubMed CentralView ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.