- Open Access
Promoter hypermethylation of the SFRP2 gene is a high-frequent alteration and tumor-specific epigenetic marker in human breast cancer
© Veeck et al; licensee BioMed Central Ltd. 2008
- Received: 10 May 2008
- Accepted: 06 November 2008
- Published: 06 November 2008
We have previously reported that expression of the Wnt antagonist genes SFRP1 and SFRP5 is frequently silenced by promoter hypermethylation in breast cancer. SFRP2 is a further Wnt inhibitor whose expression was recently found being downregulated in various malignancies. Here we investigated whether SFRP2 is also implicated in human breast cancer, and if so whether SFRP2 promoter methylation might serve as a potential tumor biomarker.
We analyzed SFRP2 mRNA expression and SFRP2 promoter methylation in 10 breast cell lines, 199 primary breast carcinomas, 20 matched normal breast tissues and 17 cancer-unrelated normal breast tissues using RT-PCR, realtime PCR, methylation-specific PCR and Pyrosequencing, respectively. SFRP2 protein expression was assessed by immunohistochemistry on a tissue microarray. Proliferation assays after transfection with an SFRP2 expression vector were performed with mammary MCF10A cells. Statistical evaluations were accomplished with SPSS 14.0 software.
Of the cancerous breast cell lines, 7/8 (88%) lacked SFRP2 mRNA expression due to SFRP2 promoter methylation (P < 0.001). SFRP2 expression was substantially restored in most breast cell lines after treatment with 5-aza-2'-deoxycytidine and trichostatin A. In primary breast carcinomas SFRP2 protein expression was strongly reduced in 93 of 125 specimens (74%). SFRP2 promoter methylation was detected in 165/199 primary carcinomas (83%) whereas all cancer-related and unrelated normal breast tissues were not affected by SFRP2 methylation. SFRP2 methylation was not associated with clinicopathological factors or clinical patient outcome. However, loss of SFRP2 protein expression showed a weak association with unfavorable patient overall survival (P = 0.071). Forced expression of SFRP2 in mammary MCF10A cells substantially inhibited proliferation rates (P = 0.045).
The SFRP2 gene is a high-frequent target of epigenetic inactivation in human breast cancer. Its methylation leads to abrogation of SFRP2 expression, conferring a growth advantage to epithelial mammary cells. This altogether supports a tumor suppressive function of SFRP2. Although clinical patient outcome was not associated with SFRP2 methylation, the high frequency of this epimutation and its putative specificity to neoplastic cells may qualify SFRP2 promoter methylation as a potential candidate screening marker helping to improve early breast cancer detection.
- Promoter Methylation
- Normal Breast Tissue
- Primary Breast Carcinoma
- Breast Cell Line
- HMEC Cell
Aberrant promoter methylation leading to functional inactivation of tumor suppressor genes is a well recognized mechanism capable of driving carcinogenesis [1, 2]. In human breast cancer numerous genes have been identified with abolished expression due to 5'-cytosine methylation within their gene promoter (recently reviewed in ). Typically those genes affect important aspects of normal growth control, like cell cycle regulation (p16INK4a) , steroid receptor biology (estrogen receptor-α) , cell adhesion (E-cadherin) , apoptosis (death-associated protein (DAP) kinase-1)  or extracellular matrix integrity (ITIH5) , all of which confers, in case of expression loss, growth advantages to neoplastic cells. Importantly, the observation that DNA methylation of the same gene may occur both in premalignant lesions, such as atypical hyperplasia of the breast, and in carcinoma  suggests that DNA methylation might serve as ideal biomarker for early cancer detection or patient risk assessment in clinical oncology . Thus, identification and validation of epigenetically silenced cancer-related genes is of critical importance in the search of novel tumor biomarkers.
Secreted frizzled-related proteins (SFRPs) constitute a family of extracellular Wnt signaling antagonists, of which five members (SFRP1-5) have been identified to date . SFRPs sequester Wnt molecules at the cell surface membrane  and by this are recognized as sensitive regulators of the canonical Wnt signaling pathway . Aberrant activation of Wnt signaling has been associated with the pathogenesis of virtually all human cancers (reviewed in ). In breast tumor tissues, activated Wnt signaling has been repeatedly observed as determined by nuclear and cytoplasmic accumulation of β-catenin [15–18], arguing for a disrupted equilibrium between Wnt and SFRP expression in this tumor type. In line with this, previous studies have shown that expression of SFRP genes is commonly silenced by promoter methylation in human cancers [19–26]. In breast cancer, SFRP1 and SFRP5 have been identified as targets of aberrant epigenetic inactivation to date, and either promoter methylation was found to be associated with unfavorable patient prognosis [27, 28]. SFRP2 has been previously identified as epigenetic target in other tumor entities, such as colon , oesophagus , bladder , stomach [23, 24], liver  and lung cancer . Interestingly, in all tumor entities SFRP2 methylation was detected with a high frequency of > 50% of cancer patients, ranging from 52% in lung cancer to 96% in gastric cancer, which suggests that SFRP2 methylation might potentially be useful as a ubiquitous pan-tumor marker in cancerous tissues, and possibly also in body fluids. Consequently, Urakami et al.  demonstrated that of all investigated SFRPs only SFRP2 methylation proved to be a valuable independent prediction factor for bladder cancer in urine samples. At the same time, SFRP2 methylation was found to occur high-frequent in colon cancer (83–90%) [33, 19], which may have forced the establishment of SFRP2 methylation as a promising sensitive screening marker for the stool-based detection of colorectal cancer and premalignant lesions [34–36].
Very recently, Suzuki et al.  reported about SFRP2 methylation in human breast cancer, and their study demonstrated an inhibitory effect of SFRP2 on canonical Wnt signaling in breast cancer cell lines. However, SFRP2 expression analyses in normal and breast carcinoma tissues as well as patient survival analysis in relation to SFRP2 methylation were not addressed. Our approach was to investigate SFRP2 expression and promoter methylation in breast cell lines, primary breast carcinomas and normal breast tissues, followed by comprehensive statistical correlation analysis with clinicopathological factors and patient survival. We also investigated a functional role of SFRP2 in a breast cell line with regard to growth behaviour. In summary, our data confirm that the SFRP2 gene is high-frequently inactivated by promoter methylation in human breast cancer and that loss of SFRP2 expression confers a growth advantage to mammary epithelial cells. In addition, we provide evidence that SFRP2 protein expression is commonly reduced in breast cancer and that SFRP2 methylation might be a potential biomarker useful for early detection of this disease.
Cryoconserved clinical materials
According to a multi-center study design, 20 matched tumor/macroscopically normal samples of breast cancer patients (median patient age: 67 years; range 48–86 years) and 179 unmatched breast carcinomas (median patient age: 57 years; range 28–96 years) were obtained from patients treated by primary surgery for breast cancer at the Departments of Gynecology at the University Hospitals of Aachen, Jena, Regensburg and Düsseldorf, Germany. None of the patients had received neo-adjuvant chemotherapy. Inclusion criterion for ipsilateral normal breast tissue was a distance of > 2 cm to the carcinoma margin. All patients gave informed consent for retention and analysis of their tissue for research purposes and the Institutional Review Boards of the participating centers approved the study. The selection of cases was based on availability of tissue. Cases were not stratified for any known preoperative or pathological prognostic factor. Tumor histology was determined according to the criteria of the WHO (2003), while disease stage was assessed according to UICC . Tumors were graded according to Bloom and Richardson, as modified by Elston and Ellis . Hormone receptor positivity was defined as an immunoreactivity score (IRS) ≥ 3 . For 136 patients follow-up data were available with a median time of 64 months (range 1–174 months). Tumor material was immediately snap-frozen in liquid nitrogen after surgery. Hematoxylin/Eosin-stained sections were prepared for assessing the percentage of tumor cells; only samples with greater than 70% tumor cells were selected for analysis. Samples were dissolved in lysis buffer followed by DNA isolation using the QIAamp DNA Mini Kit (Qiagen, Hilden, Germany) according to the manufacturer's recommendations. For patient characteristics see additional file 1.
Formalin-fixed, paraffin-embedded (FFPE) clinical material
A total of 17 archival FFPE normal breast tissues were obtained from the Institute of Pathology, University Hospital of the RWTH Aachen, Germany. These patients had undergone breast reduction surgery without the condition of cancer. The median age in the cancer-unrelated normal breast tissue set was 33 years (range 22–61 years). Per sample, five consecutive sections (each 10 μm) were deparaffinized and rehydrated in a decreasing alcohol series prior to DNA extraction by use of the QIAamp DNA Mini Kit.
SFRP2 protein expression was assessed using a tissue microarray (TMA) consisting of 125 breast carcinomas, four ductal carcinomas in situ (DCIS) and 10 normal breast tissues that have been described previously . The TMA contained one tissue core from non-selected, FFPE primary breast carcinoma specimens diagnosed between 1994 and 2002 at the Institute of Pathology, University of Regensburg, Germany. Histological, all tumors were graded according to Bloom and Richardson, as modified by Elston and Ellis . Clinical follow-up data were available for 124 breast cancer patients with a median follow-up period of 80 months (range 5–114 months). All patients gave informed consent for retention and analysis of their tissue for research purposes and the Institutional Review Board of the participating centers approved the study.
The TMA was subjected to immunostaining using the K5007 Kit (DAKO, Hamburg, Germany) following the manufacturer's instructions. Antigen retrieval was performed by pretreatment in citrate buffer (pH 7) in a microwave oven (20 min, 200 W). Samples were incubated for 30 min with the primary SFRP2 antibody (rabbit polyclonal IgG; H-140; 1:75; Santa Cruz Biotechnology, Santa Cruz, CA), washed, and incubated for 10 min with the secondary antibody (biotinylated polylink; DAKO). Diaminobenzidin (DAKO) was used for antibody detection. In negative controls the primary antibody was omitted. An experienced breast cancer pathologist (N.B.) scored the immunohistochemical staining according to the scoring system suggested by Remmele and Stegner . Feasibility of the antibody for immunohistochemical analysis of breast tissue has been previously demonstrated e.g. by Lee et al. .
The benign cell lines HMEC and MCF10A as well as the cancerous breast cell lines BT20, BT474, Hs578T, MCF7, MDA-MB-231, MDA-MB-453, SKBR3, T47D and ZR75-1 were obtained from the American Type Culture Collection (Rockville, MA) and cultured as recommended by the vendor.
Reverse transcription (RT-) PCR and semi-quantitative realtime PCR
RNA isolation, RT-PCR and SYBR Green I realtime PCR (Roche Diagnostics, Mannheim, Germany) were performed as described elsewhere . Quality of cDNA was checked after each preparation by standard RT-PCR using glyceraldehyde-3-phosphate-dehydrogenase (GAPDH) primers that yield an amplification product of 510 bp. To ensure experiment accuracy, all quantitative measurements were performed in triplicate. Intron-spanning primer sequences and cycle conditions are given in additional file 2.
Sodium bisulfite-modification and methylation-specific PCR (MSP)
Of the genomic DNA, 1 μg was bisulfite-modified using the EZ DNA Methylation Kit (Zymo Research, Orange, CA) according to the manufacturer's recommendations. The final precipitate was eluted in 20 μl TRIS buffer (10 mM). For MSP, one μl of modified DNA was amplified using MSP primers (see additional file 2) that specifically recognized either the unmethylated or methylated gene promoter sequence after bisulfite-conversion. Each primer pair mapped to nine cytosine-phosphate-guanine dinucleotide (CpG) sites in order to specifically discriminate between methylated and non-methylated DNA. Further 11 non-CpG cytosines within the primer pair specific for methylated DNA and 13 non-CpG cytosines within the primer pair specific for non-methylated DNA guaranteed unequivocal amplification of bisulfite-converted DNA. Primers defined an amplicon between +19 and +163 relative to the transcription start site (+1) of the SFRP2 gene. Reaction volumes of 25 μl contained 1 × MSP-buffer , 400 nM each of methylation and non-methylation-specific primers, respectively, and 1.25 mM of dNTPs. One drop of mineral oil was added to the reaction tube. The PCR was initiated as "Hot Start" PCR at 94°C and held at 80°C before the addition of 1.25 units Taq DNA polymerase (Promega, Madison, WI). Cycle conditions were: 95°C for 5 min, 35 cycles of 95°C for 30 s, 60°C for 30 s, 72°C for 40 s and a final extension at 72°C for 5 min. Blood lymphocyte DNA from a healthy donor was bisulfite-modified to serve as a control for the unmethylated promoter sequence , DNA from the cancerous breast cell line BT20 served as control for methylated alleles. Amplification products were visualized on 3% low range ultra agarose gel (Bio-Rad Laboratories, Hercules, CA) containing ethidium bromide and illuminated under ultraviolet (UV) light.
Quantitative Pyrosequencing of a SFRP2 promoter fragment was performed by use of a Pyromark ID device, PyroGoldSQA Reagent Kit and Pyro Q-CpG software (Biotage, Uppsala, Sweden). Initially, a 291 bp fragment of the SFRP2 promoter (relative position -28 to +263), covering the hybridization sites for MSP primers, was amplified with degenerate primers irrespective of the methylation status, which assures unbiased DNA amplification. To enable single strand preparation the reverse primer was 5'-biotinylated. Reaction volumes of 50 μl contained 1 × GoTaq buffer, 2.5 units GoTaq polymerase (Promega), 2.5 mM of MgCl2, 400 nM of primers, 500 nM of each dNTP, and 3 μl of bisulfite-converted DNA as template. Reactions were initiated as "Hot Start" PCR at 95°C for 3 min and held at 80°C before addition of Taq polymerase. Cycle conditions were: 94°C for 3 min, 50 cycles of 94°C for 15 sec, 58°C for 30 sec, 72°C for 30 sec, and a final extension step at 72°C for 5 min. PCR was carried out in a PTC-200 cycler (Bio-Rad, formerly MJ Research, Hercules, CA). Prior to sequencing, aliquots of the amplificate were analyzed on a 2% agarose gel containing ethidium bromide under UV light. Single strand separation of the remaining amplificate (40 μl) was performed with a PyroMark Vacuum Prep Workstation (Biotage). Amplificate was immobilized to Streptavidin-Sepharose HP beads (Amersham Biosciences, Uppsala, Sweden), washed, denatured and the biotinylated strands were released into 40 μl of annealing buffer containing 400 nM of forward sequencing primer. Sequencing started with position +3 (relative to the TSS) and was continued to position +167, covering a total of 22 sequential CpG sites. The following sequence represents the SFRP2 promoter sequence that was analyzed by pyrosequencing: AYGGTTTATTTTGTTTTTTYGGGTYGGAGT TTTTYGGAGTTGYGYGYGGGTT TGTAGTGTTTYGTTYGYGTTGTTTTTTYGGTGTTTYGTTTTTTYGYGTT TTAGTYGTYGGTTGTT AGTTTTTYGGGGTTTYGAGTYGTATTTAGYGAAGAGAGYGGGTTYGG.
Universal bisulfite-converted polymethylated and unmethylated DNA (Epi Tect Control DNA Set; Qiagen, Hilden, Germany) served as technical controls for SFRP2 methylation and non-methylation, respectively. Pyrosequencing primers are available on request.
5-aza-2'-deoxycytidine (DAC) and trichostatin A (TSA) treatment
We plated cells at 3 × 104 cells/cm2 in a six-well plate on day 0. The demethylating agent DAC (Sigma-Aldrich, Deisenheim, Germany) was added to a final concentration of 1 μM in fresh medium on days 1, 2 and 3. Additionally, 300 nM TSA (Sigma-Aldrich) was added on day 3. Cells were harvested on day 4 for RNA and DNA extraction. Control cells were incubated without the addition of DAC or TSA and fresh medium was also supplied on days 1, 2 and 3.
Cells were seeded at a density of 3 × 104 cells/cm2 and transfected 24 hours after incubation with 100 ng/cm2 of plasmid DNA in the following manner: 100 ng of empty pCMV-hemagglutinin (HA) vector control (Clontech, Heidelberg, Germany), or 50 ng of pCMV-HA + 50 ng pCMV-HA/SFRP2, or 50 ng of pCMV-HA + 50 ng pcDNA3.1-HisA/WNT1, or 50 ng pCMV-HA/SFRP2 + 50 ng pcDNA3.1-HisA/WNT1  applying the FuGENE 6 transfection system (Roche Diagnostics) and a 3:1 transfection ratio according to the manufacturer's instructions.
MCF10A cells were transfected in 96-well plates as described above and an XTT-proliferation assay (Roche Diagnostics) was performed on day 0, 1, 2 and 3 after transfection by determining the optical density of the supernatants at 480 nm minus the optical density of the supernatants at 690 nm. To enhance experimental accuracy, six replicas were seeded. For the colony formation assay cells were transfected accordingly in six-well plates and kept for three weeks under selective force of the antibiotic G418 (700 μg/ml) (Invitrogen, Carlsbad, CA). After incubation, colonies were washed with phosphate-buffered saline, fixed and stained for 30 minutes (0.25% crystal violet in 10% formalin/80% methanol), washed three times with distilled water and photographed.
Statistical analyses were completed using the software package SPSS, version 14.0 (SPSS Inc., Chicago, IL). Differences were considered significant when P-values were below 0.05. A two-sided non-parametric Mann-Whitney U-test and a paired student's t-test were performed to analyze differences in expression levels. Associations between metrical variables were determined by a linear regression analysis. To study statistical associations between clinicopathological factors and SFRP2 expression or SFRP2 promoter methylation status contingency-tables and two-sided Fisher's exact tests were accomplished. Survival curves were calculated using the Kaplan-Meier method, with significance evaluated by two-sided log-rank statistics. Overall survival (OS) (n = 136 for MSP samples) was measured from the day of surgery until tumor-related death (20.6%, n = 28) and was censored for patients alive at last contact (69.1%, n = 94), in case of death unrelated to the tumor (3.7%, n = 5) or when the death cause was unknown (6.6%, n = 9). Disease-free survival (DFS) (n = 136 for MSP samples) was measured from surgery until local or distant relapse (36.8%, n = 50) and censored for patients alive without evidence of relapse at the last follow-up (63.2%, n = 86).
Expression of SFRP2 mRNA is reduced in breast cancer cell lines
Methylation of the SFRP2 promoter in breast cancer cell lines
Analysis of the SFRP2 gene promoter on chromosome 4q31  using the genomic DNA information contained in Ensembl contig ENSG00000145423  revealed a CpG island (CGI) between base position -818 to +743 relative to the expected transcription start site (+1), according to the CGI definition of Takai and Jones . Further exploration of this CGI using Methprimer software  identified three regions of particularly high CpG density (-399 to -151, -6 to +332, and +486 to +685) (Figure 1B). Since sequence integrity of the first SFRP2 exon was demonstrated to be most essential for efficient RNA transcription in a luciferase promoter assay  we chose the central CGI (-6 to +332) for subsequent methylation analysis by application of the highly specific MSP primers described by Suzuki et al.  and others [24, 37]. First, we assessed SFRP2 promoter methylation in eight cancerous and two non-cancerous cell lines. Six of the analyzed cell lines (MCF10A, MDA-MB-231, MCF7, MDA-MB-453, BT20 and BT474) exhibited a methylated SFRP2 promoter sequence in the analyzed region (Figure 1C). Two cell lines (SKBR3 and T47D) showed partial promoter methylation, since a mixture of unmethylated and methylated DNA sequence could be detected in the same sample. One malignant cell line (Hs578T) and benign HMEC cells revealed solely unmethylated SFRP2 promoter sequence. This result correlates with the above described finding that Hs578T and HMEC cells exhibited strong SFRP2 mRNA expression whereas in all cell lines with aberrant methylation SFRP2 mRNA expression was absent. Interestingly, SFRP2 mRNA was not expressed at detectable levels from unmethyated alleles in SKBR3 and T47D, which may be due to repressing mechanisms that are codominant to the effect of promoter methylation in these cells.
Re-expression of SFRP2 mRNA after in vitro DNA demethylation
To further prove that the demethylating treatment did not result in unspecific upregulation of gene expression, we determined the expression of the growth promoting gene cyclin D1, which is a direct read-out gene of active Wnt signaling  and whose expression is commonly elevated in breast cancer . Using realtime PCR we observed that cyclin D1 mRNA expression was significantly reduced (P = 0.029, two-tailed Mann-Whitney U-test) after the demethylation treatment (43-fold in BT20, 14-fold in SKBR3, 8-fold in T47D and 6-fold in MCF7, Figure 2C), suggesting that inhibitors of proliferation, such as SFRPs which are downregulated in breast cancer cell lines, have been reactivated and were able to block Wnt signaling in these cells.
Methylation of the SFRP2 promoter in primary breast carcinoma and normal breast tissue
Correlation of SFRP2 promoter methylation and SFRP2 mRNA expression in breast cancer cell lines
Differential expression of SFRP2 protein in primary breast cancer
Correlation of SFRP2 expression and SFRP2 methylation with clinicopathological parameters and patient survival
Clinicopathological and immunohistochemical factors in relation to SFRP2 immunoreactivity
IRS 0 – 4 (%)
IRS > 4 (%)
Age at diagnosis (median: 57 years; range 29 – 82 years)
< 60 years
≥ 60 years
pT2 – 4
Lymph node statusb
pN1 – 3
G1 – G2
Estrogen receptor status
negative (IRSc 0 – 2)
positive (IRS 3 – 12)
Progesterone receptor status
negative (IRSc 0 – 2)
positive (IRS 3 – 12)
negative (0, 1+)
positive (2+, 3+)
negative (< 5%)
positive (≥ 5%)
Correlation analysis of SFRP2 promoter methylation with clinicopathological and immunohistochemical patient characteristics
Age at diagnosis
< 60 years
≥ 60 years
pT2 – 4
Lymph node statusd
pN1 – 3
G1 – G2
negative (IRSe 0 – 2)
positive (IRS 3 – 12)
negative (IRSe 0 – 2)
positive (IRS 3 – 12)
Univariate survival analysis of clinicopathological and immunohistochemical parameters with SFRP2 promoter methylation
Disease-free survival (DFS)
Overall survival (OS)
Age at diagnosis
< 60 years
≥ 60 years
pT2 – 4
Lymph node statusc
pN1 – 3
G1 – G2
negative (IRSd 0 – 2)
positive (IRS 3 – 12)
negative (IRSd 0 – 2)
positive (IRS 3 – 12)
SFRP2 inhibits proliferation in breast cell lines
Aberrant methylation of CpG islands in gene promoters has been ascertained as a primary mechanism for the inactivation of tumor suppressor genes in human malignancies, including colon and breast cancer (for review see ). Clinically, the identification of genes that are prone to abnormal methylation and consequently become downregulated is of critical importance since this is considered to provide a good source of novel tumor biomarkers  and potential targets for chemotherapeutics [53, 54]. The family of SFRP genes, functionally acting as Wnt signaling inhibitors, was recently shown to be a common target of promoter hypermethylation in numerous tumor entities [19–26]. In human breast cancer, we have previously shown that the SFRP1 and SFRP5 promoter is epigenetically silenced in 61% and 73% of invasive breast carcinomas, respectively, each of which was associated with unfavorable patient prognosis [27, 28]. We here demonstrate that promoter methylation of SFRP2 is a further tumor-related alteration in human breast cancer occurring with even higher incidence.
Initiating our study, we found that many breast cancer cell lines revealed abolished SFRP2 expression presumably due to methylation of the SFRP2 promoter, since those cell lines lacking SFRP2 methylation abundantly expressed SFRP2 mRNA, whereas all cell lines lacking SFRP2 expression harbored SFRP2 promoter methylation. A direct coherence between promoter methylation and loss of RNA expression was shown by a combined DAC/TSA treatment of breast cancer cell lines, demonstrating that the SFRP2 gene was effectively demethylated and re-expressed after the treatment. Furthermore, those cell lines revealed a significant reduction of cyclin D1 expression, suggesting reactivation of anti-proliferative genes, of which SFRP2 is supposed to be a member [19, 23, 24]. Interestingly, in partially methylated SKBR3 and T47D cells the sole inhibition of histone deacetylases by TSA led to restoration of some SFRP2 expression, indicating that besides DNA methylation in these cells further reversible chromatin repressing histone modifications may exist.
Since cell lines may acquire de novo genetic and epigenetic lesions during cultivation [55, 56] it is mandatory to investigate such aberrations in primary tissues as well. To this end we analyzed SFRP2 promoter methylation in 199 infiltrating breast carcinomas by MSP. We found a high-frequent incidence of SFRP2 methylation in the tumors (83%), confirming the recent results from Suzuki et al. , who reported of SFRP2 methylation in 60 of 78 (77%) primary breast carcinomas. Importantly, SFRP2 methylation was independent of relevant clinicopathological factors, thus being unlikely related to disease stage or a molecular breast cancer subtype. SFRP2 methylation was equally prevalent in small sized (pT1) and in larger sized (pT2-4) breast carcinomas, suggesting it occurs as early epigenetic aberration in breast tumorigenesis with no further increase in methylation frequency during tumor progression. Whether SFRP2 methylation is already present in benign and earlier premalignant lesions such as atypical hyperplasia and carcinoma in situ, like it was recently reported for the 14-3-3-σ gene , will be of particular importance in regard of early breast tumor detection. Yet, this remains to be determined in a future study.
Interestingly, Suzuki et al.  reported that a certain number of cancer-related normal breast tissues also showed weak SFRP2 methylation in their study, whereas in our study none of the normal breast tissues harbored a methylated SFRP2 promoter, irrespective of whether the tissue was taken from matched cancer-related or unmatched cancer-unrelated specimens. Given that no contaminating tumor cells had been present in their normal breast tissues this might be due to different locations of the recruited tissues (i.e. distance to the tumor margin), and may address a phenomenon that in cancer research is currently being discussed as "field defect" [57, 58]. Evidence of such field defect in breast cancer was brought up by Yan et al.  showing that RASSF1A promoter methylation in breast carcinoma may progressively diffuse outwards to surrounding normal tissue, establishing a sphere of methylation gradient around the primary tumor. Recently, such gradient was also detected for RUNX3 methylation , which together with RASSF1A methylation is among the earliest carcinogenetic events in breast tumor transformation. SFRP2 methylation may be implicated in such field defect in breast cancer, yet dense methylation of the SFRP2 promoter was restricted to carcinoma in our study, and thus it may display important clinical specificity. In bladder cancer, SFRP2 methylation was shown to represent an independent predictor of malignancy, although in multivariate logistic regression analysis it was not a reliable biomarker because of a limited sensitivity/specificity due to some extent of methylation in normal bladder mucosa . In contrast, in faecal DNA SFRP2 methylation was proven to be a highly promising screening marker for colorectal cancer , even potent to detect early lesions like adenoma, aberrant crypt foci  and colorectal polyps  due to the absence of SFRP2 methylation in normal colonic mucosa. In breast cancer, the accurate specificity and sensitivity of SFRP2 methylation remains to be determined by quantitative methods in a future study, for instance by qMSP (MethyLight)  or the Pyrosequencing technique , integrating receiver-operating characteristic (ROC) curve analyses. This may potentially lead to a valuable early tumor detection marker that will ideally be assessable in patients' body fluids like blood serum, plasma or nipple aspirate.
Contrasting the view that SFRP2 acts as a tumor suppressor gene, Lee and co-workers [42, 63] suggested that SFRP2 exhibits rather an oncogenic property in breast tissue since this group detected strong upregulation of SFRP2 protein in canine mammary tumors relative to normal canine breast tissues. In addition, SFRP2 overexpression in a human breast cancer cell line (MCF7) inhibited apoptosis following UV light exposure, while increasing cell-substrate adhesion capacity . It is worthy to note that these experiments were carried out with a canine homologue of SFRP2 cDNA. However, five lines of evidence propose a tumor suppressive role of SFRP2 in human breast carcinogenesis: (1.) Our and another independent study  demonstrate that SFRP2 is very frequently targeted by promoter methylation in human breast carcinomas as compared to normal human breast tissues, disposing breast cancer to the large number of human tumor entities for which SFRP2 methylation has already been described. (2.) We found a strong correlation and functional association of SFRP2 methylation with loss of SFRP2 mRNA expression in breast cell lines. (3.) Our study reveals a common SFRP2 protein loss in human breast carcinomas with comparable frequency to promoter methylation, notably by applying the identical SFRP2-antibody that was used for the study of canine mammary tumors. (4.) We detected a weak trend towards adverse clinical patient outcome in case of SFRP2 protein expression loss. (5.) Functional analyses in human breast , gastric [23, 24] and colorectal cancer cell lines  revealed a pro-apoptotic and anti-proliferative capacity of (human) SFRP2 associated with the ability to inhibit activated Wnt signaling, altogether supporting a tumor suppressive rather than an oncogenic function of this gene. These discrepancies to canine mammary tumors may reflect subtle distinctions in the function of structurally related molecules, or alternative activities of molecules when expressed in different contexts and organisms. Furthermore, it emphasizes that study results of SFRP2 from canine breast cancer models may not be generally transferable to human breast carcinogenesis. In conclusion, SFRP2 may represent a candidate class II tumor suppressor gene whose altered expression is caused by epigenetic changes (class II) rather than by mutation (class I) . Class II tumor suppressor genes are particularly interesting drug targets since reversing the block of their gene expression, e.g. by DNA methyltransferase (DNMT) inhibitors or histone deacetylase (HDAC) inhibitors could lead to tumor regression. Furthermore such a treatment could be appropriate to eliminate minimal residual cancer disease after surgical resection of the tumor.
Summarizing, our data demonstrate that SFRP2 is a frequent target of epigenetic inactivation in human breast cancer leading to downregulation of SFRP2 expression in mammary tumors. Loss of SFRP2 expression confers a growth advantage to mammary cells, likely due its ability to inhibit oncogenic Wnt signaling. Altogether, our data support the proposed tumor suppressive function of SFRP2 in normal breast tissue. The high incidence and the putative specificity of this epimutation may qualify SFRP2 methylation as potential candidate in a screening marker panel for the early detection of human breast cancer.
Our study on SFRP2 in human breast cancer leads to the following conclusions: SFRP2 expression is very frequently downregulated in breast cancer due to promoter methylation, thus conferring growth advantage to neoplastic mammary cells. Therefore, SFRP2 may be assigned a class II tumor suppressor gene in normal breast tissue, whose block of expression could be reversed by DNA demethylating (DNMT inhibitors) and histone reacetylating (HDAC inhibitors) drugs. In contrast to an adverse prognostic value of SFRP1 or SFRP5 methylation in breast cancer, failure of SFRP2 methylation as a prognostic biomarker may be explained by redundant functions of these closely related SFRP molecules. Alternatively, this failure could be explained by the likely involvement of SFRP2 methylation in the early steps of breast carcinogenesis, rather than being implicated in the development of prognostically adverse tumor subtypes. Nevertheless, SFRP2 methylation may be potentially useful as a molecular tumor biomarker in a DNA methylation biomarker based screening assay, as it may display high clinical sensitivity and specificity in detecting breast cancer cells.
The expert technical help of Sevim Alkaya, Sonja von Serényi and Inge Losen is greatly appreciated. We thank Dr. Dieter Niederacher (Department of Gynecology and Obstetrics, Heinrich-Heine-University, Düsseldorf, Germany) and Prof. Matthias Dürst (Friedrich-Schiller University, Jena, Germany) for kindly providing patient samples. We are thankful to Dr. Monika Klinkhammer-Schalke and Monika Kerscher from the Tumor Registry Regensburg for continuous help in obtaining clinical follow-up data. The SFRP2/WNT1 vectors were a kind gift from Dr. Hiromu Suzuki (Sapporo Medical University, Sapporo, Japan). This work is a research project within the German Human Genome Project and has been supported by the grant from the Bundesministerium für Bildung und Forschung to Edgar Dahl (01KW0401).
- Herman JG, Baylin S: Gene silencing in cancer in association with promoter hypermethylation. N Engl J Med. 2003, 349: 2042-2054. 10.1056/NEJMra023075View ArticlePubMedGoogle Scholar
- Esteller M: Aberrant DNA methylation as a cancer-inducing mechanism. Annu Rev Pharmacol Toxicol. 2005, 45: 629-656. 10.1146/annurev.pharmtox.45.120403.095832View ArticlePubMedGoogle Scholar
- Agrawal A, Murphy RF, Agrawal DK: DNA methylation in breast and colorectal cancers. Mod Pathol. 2007, 20: 711-721. 10.1038/modpathol.3800822View ArticlePubMedGoogle Scholar
- Herman JG, Merlo A, Mao L, Lapidus RG, Issa JP, Davidson NE, Sidransky D, Baylin SB: Inactivation of the CDKN2/p16/MTS1 gene is frequently associated with aberrant DNA methylation in all common human cancers. Cancer Res. 1995, 55: 4525-4530.PubMedGoogle Scholar
- Ottaviano YL, Issa JP, Parl FF, Smith HS, Baylin SB, Davidson NE: Methylation of the estrogen receptor gene CpG island marks loss of estrogen receptor expression in human breast cancer cells. Cancer Res. 1994, 54: 2552-2555.PubMedGoogle Scholar
- Graff JR, Herman JG, Lapidus RG, Chopra H, Xu R, Jarrard DF, Isaacs WB, Pitha PM, Davidson NE, Baylin SB: E-cadherin expression is silenced by DNA hypermethylation in human breast and prostate carcinomas. Cancer Res. 1995, 55: 5195-5199.PubMedGoogle Scholar
- Lehmann U, Celikkaya G, Hasemeier B, Länger F, Kreipe H: Promoter hypermethylation of the death-associated protein kinase gene in breast cancer is associated with the invasive lobular subtype. Cancer Res. 2002, 62: 6634-6638.PubMedGoogle Scholar
- Veeck J, Chorovicer M, Naami A, Breuer E, Zafrakas M, Bektas N, Dürst M, Kristiansen G, Wild PJ, Hartmann A, Knuechel R, Dahl E: The extracellular matrix protein ITIH5 is a novel prognostic marker in invasive node-negative breast cancer and its aberrant expression is caused by promoter hypermethylation. Oncogene. 2008, 27: 865-875. 10.1038/sj.onc.1210669View ArticlePubMedGoogle Scholar
- Umbricht CB, Evron E, Gabrielson E, Ferguson A, Marks J, Sukumar S: Hypermethylation of 14-3-3 sigma (stratifin) is an early event in breast cancer. Oncogene. 2001, 20: 3348-3353. 10.1038/sj.onc.1204438View ArticlePubMedGoogle Scholar
- Belinsky SA, Liechty KC, Gentry FD, Wolf HJ, Rogers J, Vu K, Haney J, Kennedy TC, Hirsch FR, Miller Y, Franklin WA, Herman JG, Baylin SB, Bunn PA, Byers T: Promoter hypermethylation of multiple genes in sputum precedes lung cancer incidence in a high-risk cohort. Cancer Res. 2006, 66: 3338-3344. 10.1158/0008-5472.CAN-05-3408View ArticlePubMedGoogle Scholar
- Jones SE, Jomary C: Secreted Frizzled-related proteins: searching for relationships and patterns. Bioessays. 2002, 24: 811-820. 10.1002/bies.10136View ArticlePubMedGoogle Scholar
- Uren A, Reichsman F, Anest V, Taylor WG, Muraiso K, Bottaro DP, Cumberledge S, Rubin JS: Secreted frizzled-related protein-1 binds directly to Wingless and is a biphasic modulator of Wnt signaling. J Biol Chem. 2000, 275: 4374-4382. 10.1074/jbc.275.6.4374View ArticlePubMedGoogle Scholar
- Bafico A, Liu G, Yaniv A, Gazit A, Aaronson SA: Novel mechanism of Wnt signalling inhibition mediated by Dickkopf-1 interaction with LRP6/Arrow. Nat Cell Biol. 2001, 3: 683-686. 10.1038/35083081View ArticlePubMedGoogle Scholar
- Polakis P: Wnt signaling and cancer. Genes Dev. 2000, 14: 1837-1851.PubMedGoogle Scholar
- Bukholm IK, Nesland JM, Børresen-Dale AL: Re-expression of E-cadherin, alpha-catenin and beta-catenin, but not of gamma-catenin, in metastatic tissue from breast cancer patients. J Pathol. 2000, 190: 15-19. 10.1002/(SICI)1096-9896(200001)190:1<15::AID-PATH489>3.0.CO;2-LView ArticlePubMedGoogle Scholar
- Ryo A, Nakamura M, Wulf G, Liou YC, Lu KP: Pin1 regulates turnover and subcellular localization of beta-catenin by inhibiting its interaction with APC. Nat Cell Biol. 2001, 3: 793-801. 10.1038/ncb0901-793View ArticlePubMedGoogle Scholar
- Lin SY, Xia W, Wang JC, Kwong KY, Spohn B, Wen Y, Pestell RG, Hung MC: Beta-catenin, a novel prognostic marker for breast cancer: its roles in cyclin D1 expression and cancer progression. Proc Natl Acad Sci USA. 2000, 97: 4262-4266. 10.1073/pnas.060025397PubMed CentralView ArticlePubMedGoogle Scholar
- Chung GG, Zerkowski MP, Ocal IT, Dolled-Filhart M, Kang JY, Psyrri A, Camp RL, Rimm DL: beta-Catenin and p53 analyses of a breast carcinoma tissue microarray. Cancer. 2004, 100: 2084-2092. 10.1002/cncr.20232View ArticlePubMedGoogle Scholar
- Suzuki H, Watkins DN, Jair KW, Schuebel KE, Markowitz SD, Chen WD, Pretlow TP, Yang B, Akiyama Y, van Engeland M, Toyota M, Tokino T, Hinoda Y, Imai K, Herman JG, Baylin SB: Epigenetic inactivation of SFRP genes allows constitutive WNT signaling in colorectal cancer. Nat Genet. 2004, 36: 417-422. 10.1038/ng1330View ArticlePubMedGoogle Scholar
- Lee AY, He B, You L, Dadfarmay S, Xu Z, Mazieres J, Mikami I, McCormick F, Jablons DM: Expression of the secreted frizzled-related protein gene family is downregulated in human mesothelioma. Oncogene. 2004, 23: 6672-6676. 10.1038/sj.onc.1207881View ArticlePubMedGoogle Scholar
- Urakami S, Shiina H, Enokida H, Hirata H, Kawamoto K, Kawakami T, Kikuno N, Tanaka Y, Majid S, Nakagawa M, Igawa M, Dahiya R: Wnt antagonist family genes as biomarkers for diagnosis, staging, and prognosis of renal cell carcinoma using tumor and serum DNA. Clin Cancer Res. 2006, 12: 6989-6997. 10.1158/1078-0432.CCR-06-1194View ArticlePubMedGoogle Scholar
- Urakami S, Shiina H, Enokida H, Kawakami T, Kawamoto K, Hirata H, Tanaka Y, Kikuno N, Nakagawa M, Igawa M, Dahiya R: Combination analysis of hypermethylated Wnt-antagonist family genes as a novel epigenetic biomarker panel for bladder cancer detection. Clin Cancer Res. 2006, 12: 2109-2116. 10.1158/1078-0432.CCR-05-2468View ArticlePubMedGoogle Scholar
- Cheng YY, Yu J, Wong YP, Man EP, To KF, Jin VX, Li J, Tao Q, Sung JJ, Chan FK, Leung WK: Frequent epigenetic inactivation of secreted frizzled-related protein 2 (SFRP2) by promoter methylation in human gastric cancer. Br J Cancer. 2007, 97: 895-901.PubMed CentralPubMedGoogle Scholar
- Nojima M, Suzuki H, Toyota M, Watanabe Y, Maruyama R, Sasaki S, Sasaki Y, Mita H, Nishikawa N, Yamaguchi K, Hirata K, Itoh F, Tokino T, Mori M, Imai K, Shinomura Y: Frequent epigenetic inactivation of SFRP genes and constitutive activation of Wnt signaling in gastric cancer. Oncogene. 2007, 26: 4699-4713. 10.1038/sj.onc.1210259View ArticlePubMedGoogle Scholar
- Nomoto S, Kinoshita T, Kato K, Otani S, Kasuya H, Takeda S, Kanazumi N, Sugimoto H, Nakao A: Hypermethylation of multiple genes as clonal markers in multicentric hepatocellular carcinoma. Br J Cancer. 2007, 97: 1260-1265. 10.1038/sj.bjc.6604016PubMed CentralView ArticlePubMedGoogle Scholar
- Dahl E, Wiesmann F, Woenckhaus M, Stoehr R, Wild PJ, Veeck J, Knüchel R, Klopocki E, Sauter G, Simon R, Wieland WF, Walter B, Denzinger S, Hartmann A, Hammerschmied CG: Frequent loss of SFRP1 expression in multiple human solid tumours: association with aberrant promoter methylation in renal cell carcinoma. Oncogene. 2007, 26: 5680-5691. 10.1038/sj.onc.1210345View ArticlePubMedGoogle Scholar
- Veeck J, Niederacher D, An H, Klopocki E, Wiesmann F, Betz B, Galm O, Camara O, Dürst M, Kristiansen G, Huszka C, Knüchel R, Dahl E: Aberrant methylation of the Wnt antagonist SFRP1 in breast cancer is associated with unfavourable prognosis. Oncogene. 2006, 25: 3479-3488. 10.1038/sj.onc.1209386View ArticlePubMedGoogle Scholar
- Veeck J, Geisler C, Noetzel E, Alkaya S, Hartmann A, Knüchel R, Dahl E: Epigenetic inactivation of the Secreted frizzled-related protein-5 (SFRP5) gene in human breast cancer is associated with unfavorable prognosis. Carcinogenesis. 2008, 29: 991-998. 10.1093/carcin/bgn076View ArticlePubMedGoogle Scholar
- Suzuki H, Gabrielson E, Chen W, Anbazhagan R, van Engeland M, Weijenberg MP, Herman JG, Baylin SB: A genomic screen for genes upregulated by demethylation and histone deacetylase inhibition in human colorectal cancer. Nat Genet. 2002, 31: 141-149. 10.1038/ng892View ArticlePubMedGoogle Scholar
- Zou H, Molina JR, Harrington JJ, Osborn NK, Klatt KK, Romero Y, Burgart LJ, Ahlquist DA: Aberrant methylation of secreted frizzled-related protein genes in esophageal adenocarcinoma and Barrett's esophagus. Int J Cancer. 2005, 116: 584-591. 10.1002/ijc.21045View ArticlePubMedGoogle Scholar
- Marsit CJ, Karagas MR, Andrew A, Liu M, Danaee H, Schned AR, Nelson HH, Kelsey KT: Epigenetic inactivation of SFRP genes and TP53 alteration act jointly as markers of invasive bladder cancer. Cancer Res. 2005, 65: 7081-7085. 10.1158/0008-5472.CAN-05-0267View ArticlePubMedGoogle Scholar
- Fukui T, Kondo M, Ito G, Maeda O, Sato N, Yoshioka H, Yokoi K, Ueda Y, Shimokata K, Sekido Y: Transcriptional silencing of secreted frizzled related protein 1 (SFRP1) by promoter hypermethylation in non-small-cell lung cancer. Oncogene. 2005, 24: 6323-6327. 10.1038/sj.onc.1208777View ArticlePubMedGoogle Scholar
- Qi J, Zhu YQ, Luo J, Tao WH: Hypermethylation and expression regulation of secreted frizzled-related protein genes in colorectal tumor. World J Gastroenterol. 2006, 12: 7113-7117.PubMed CentralPubMedGoogle Scholar
- Müller HM, Oberwalder M, Fiegl H, Morandell M, Goebel G, Zitt M, Mühlthaler M, Ofner D, Margreiter R, Widschwendter M: Methylation changes in faecal DNA: a marker for colorectal cancer screening?. Lancet. 2004, 363: 1283-1285. 10.1016/S0140-6736(04)16002-9View ArticlePubMedGoogle Scholar
- Huang ZH, Li LH, Yang F, Wang JF: Detection of aberrant methylation in fecal DNA as a molecular screening tool for colorectal cancer and precancerous lesions. World J Gastroenterol. 2007, 13: 950-954.PubMed CentralView ArticlePubMedGoogle Scholar
- Oberwalder M, Zitt M, Wöntner C, Fiegl H, Goebel G, Zitt M, Köhle O, Mühlmann G, Ofner D, Margreiter R, Müller HM: SFRP2 methylation in fecal DNA-a marker for colorectal polyps. Int J Colorectal Dis. 2008, 23: 15-19. 10.1007/s00384-007-0355-2View ArticlePubMedGoogle Scholar
- Suzuki H, Toyota M, Caraway H, Gabrielson E, Ohmura T, Fujikane T, Nishikawa N, Sogabe Y, Nojima M, Sonoda T, Mori M, Hirata K, Imai K, Shinomura Y, Baylin SB, Tokino T: Frequent epigenetic inactivation of Wnt antagonist genes in breast cancer. Br J Cancer. 2008, 98: 1147-1156. 10.1038/sj.bjc.6604259PubMed CentralView ArticlePubMedGoogle Scholar
- Sobin LH, Wittekind C, : UICC: TNM classification of malignant tumors. 1997, New York: Wiley-Liss, 5.Google Scholar
- Elston EW, Ellis IO: Method for grading breast cancer. J Clin Pathol. 1993, 46: 189-190. 10.1136/jcp.46.2.189-bPubMed CentralView ArticlePubMedGoogle Scholar
- Remmele W, Stegner HE: Recommendation for uniform definition of an immunoreactive score (IRS) for immunohistochemical estrogen receptor detection (ER-ICA) in breast cancer tissue. Pathologe. 1987, 8: 138-40.PubMedGoogle Scholar
- Dahl E, Kristiansen G, Gottlob K, Klaman I, Ebner E, Hinzmann B, Hermann K, Pilarsky C, Dürst M, Klinkhammer-Schalke M, Blaszyk H, Knuechel R, Hartmann A, Rosenthal A, Wild PJ: Molecular profiling of laser-microdissected matched tumor and normal breast tissue identifies karyopherin alpha2 as a potential novel prognostic marker in breast cancer. Clin Cancer Res. 2006, 12: 3950-3960. 10.1158/1078-0432.CCR-05-2090View ArticlePubMedGoogle Scholar
- Lee JL, Chang CJ, Wu SY, Sargan DR, Lin CT: Secreted frizzled-related protein 2 (SFRP2) is highly expressed in canine mammary gland tumors but not in normal mammary glands. Breast Cancer Res Treat. 2004, 84: 139-149. 10.1023/B:BREA.0000018412.83348.ffView ArticlePubMedGoogle Scholar
- Herman JG, Graff JR, Myohanen S, Nelkin BD, Baylin SB: Methylation-specific PCR: a novel PCR assay for methylation status of CpG islands. Proc Natl Acad Sci USA. 1996, 93: 9821-9826. 10.1073/pnas.93.18.9821PubMed CentralView ArticlePubMedGoogle Scholar
- Galm O, Herman JG: Methylation-specific polymerase chain reaction. Methods Mol Med. 2005, 113: 279-291.PubMedGoogle Scholar
- Liu TH, Raval A, Chen SS, Matkovic JJ, Byrd JC, Plass C: CpG island methylation and expression of the secreted frizzled-related protein gene family in chronic lymphocytic leukemia. Cancer Res. 2006, 66: 653-658. 10.1158/0008-5472.CAN-05-3712View ArticlePubMedGoogle Scholar
- CpG Island Searcher. http://cpgislands.usc.edu/
- Ensembl Genome Browser. http://www.ensembl.org/index.html
- Takai D, Jones PA: Comprehensive analysis of CpG islands in human chromosomes 21 and 22. Proc Natl Acad Sci USA. 2002, 99: 3740-3745. 10.1073/pnas.052410099PubMed CentralView ArticlePubMedGoogle Scholar
- Li LC, Dahiya R: MethPrimer: designing primers for methylation PCRs. Bioinformatics. 2002, 18: 1427-1431. 10.1093/bioinformatics/18.11.1427View ArticlePubMedGoogle Scholar
- Tetsu O, McCormick F: Beta-catenin regulates expression of cyclin D1 in colon carcinoma cells. Nature. 1999, 398: 422-426. 10.1038/18884View ArticlePubMedGoogle Scholar
- Bartkova J, Lukas J, Müller H, Lützhøft D, Strauss M, Bartek J: Cyclin D1 protein expression and function in human breast cancer. Int J Cancer. 1994, 57: 353-361. 10.1002/ijc.2910570311View ArticlePubMedGoogle Scholar
- Laird PW: The power and the promise of DNA methylation markers. Nat Rev Cancer. 2003, 3: 253-266. 10.1038/nrc1045View ArticlePubMedGoogle Scholar
- Issa JP, Garcia-Manero G, Giles FJ, Mannari R, Thomas D, Faderl S, Bayar E, Lyons J, Rosenfeld CS, Cortes J, Kantarjian HM: Phase 1 study of low-dose prolonged exposure schedules of the hypomethylating agent 5-aza-2'-deoxycytidine (decitabine) in hematopoietic malignancies. Blood. 2004, 103: 1635-1640. 10.1182/blood-2003-03-0687View ArticlePubMedGoogle Scholar
- Egger G, Liang G, Aparicio A, Jones PA: Epigenetics in human disease and prospects for epigenetic therapy. Nature. 2004, 429: 457-463. 10.1038/nature02625View ArticlePubMedGoogle Scholar
- Osborne CK, Hobbs K, Trent JM: Biological differences among MCF-7 human breast cancer cell lines from different laboratories. Breast Cancer Res Treat. 1987, 9: 111-121. 10.1007/BF01807363View ArticlePubMedGoogle Scholar
- Wistuba II, Behrens C, Milchgrub S, Syed S, Ahmadian M, Virmani AK, Kurvari V, Cunningham TH, Ashfaq R, Minna JD, Gazdar AF: Comparison of features of human breast cancer cell lines and their corresponding tumors. Clin Cancer Res. 1998, 4: 2931-2938.PubMedGoogle Scholar
- Shen L, Kondo Y, Rosner GL, Xiao L, Hernandez NS, Vilaythong J, Houlihan PS, Krouse RS, Prasad AR, Einspahr JG, Buckmeier J, Alberts DS, Hamilton SR, Issa JP: MGMT promoter methylation and field defect in sporadic colorectal cancer. J Natl Cancer Inst. 2005, 97: 1330-1338.View ArticlePubMedGoogle Scholar
- Maekita T, Nakazawa K, Mihara M, Nakajima T, Yanaoka K, Iguchi M, Arii K, Kaneda A, Tsukamoto T, Tatematsu M, Tamura G, Saito D, Sugimura T, Ichinose M, Ushijima T: High levels of aberrant DNA methylation in Helicobacter pylori-infected gastric mucosae and its possible association with gastric cancer risk. Clin Cancer Res. 2006, 12: 989-995. 10.1158/1078-0432.CCR-05-2096View ArticlePubMedGoogle Scholar
- Yan PS, Venkataramu C, Ibrahim A, Liu JC, Shen RZ, Diaz NM, Centeno B, Weber F, Leu YW, Shapiro CL, Eng C, Yeatman TJ, Huang TH: Mapping geographic zones of cancer risk with epigenetic biomarkers in normal breast tissue. Clin Cancer Res. 2006, 12: 6626-6636. 10.1158/1078-0432.CCR-06-0467View ArticlePubMedGoogle Scholar
- Cheng AS, Culhane AC, Chan MW, Venkataramu CR, Ehrich M, Nasir A, Rodriguez BA, Liu J, Yan PS, Quackenbush J, Nephew KP, Yeatman TJ, Huang TH: Epithelial progeny of estrogen-exposed breast progenitor cells display a cancer-like methylome. Cancer Res. 2008, 68: 1786-1796. 10.1158/0008-5472.CAN-07-5547PubMed CentralView ArticlePubMedGoogle Scholar
- Trinh BN, Long TI, Laird PW: DNA methylation analysis by MethyLight technology. Methods. 2001, 25: 456-462. 10.1006/meth.2001.1268View ArticlePubMedGoogle Scholar
- Colella S, Shen L, Baggerly KA, Issa PJ, Krahe R: Sensitive and quantitative universal Pyrosequencing methylation analysis of CpG sites. Biotechniques. 2003, 35: 146-150.PubMedGoogle Scholar
- Lee JL, Chang CJ, Chueh LL, Lin CT: Secreted Frizzled Related Protein 2 (sFRP2) Decreases Susceptibility to UV-Induced Apoptosis in Primary Culture of Canine Mammary Gland Tumors by NF-kappaB Activation or JNK Suppression. Breast Cancer Res Treat. 2006, 100: 49-58. 10.1007/s10549-006-9233-9View ArticlePubMedGoogle Scholar
- Lee JL, Lin CT, Chueh LL, Chang CJ: Autocrine/paracrine secreted Frizzled-related protein 2 induces cellular resistance to apoptosis: a possible mechanism of mammary tumorigenesis. J Biol Chem. 2004, 279: 14602-14609. 10.1074/jbc.M309008200View ArticlePubMedGoogle Scholar
- Sager R: Tumor suppressor genes: the puzzle and the promise. Science. 1989, 246: 1406-1412. 10.1126/science.2574499View ArticlePubMedGoogle Scholar
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