- Research article
- Open Access
- Open Peer Review
Methylation signature of lymph node metastases in breast cancer patients
© Barekati et al.; licensee BioMed Central Ltd. 2012
- Received: 25 November 2011
- Accepted: 31 May 2012
- Published: 13 June 2012
Invasion and metastasis are two important hallmarks of malignant tumors caused by complex genetic and epigenetic alterations. The present study investigated the contribution of aberrant methylation profiles of cancer related genes, APC, BIN1, BMP6, BRCA1, CST6, ESR-b, GSTP1, P14 (ARF), P16 (CDKN2A), P21 (CDKN1A), PTEN, and TIMP3, in the matched axillary lymph node metastasis in comparison to the primary tumor tissue and the adjacent normal tissue from the same breast cancer patients to identify the potential of candidate genes methylation as metastatic markers.
The quantitative methylation analysis was performed using the SEQUENOM’s EpiTYPER™ assay which relies on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS).
The quantitative DNA methylation analysis of the candidate genes showed higher methylation proportion in the primary tumor tissue than that of the matched normal tissue and the differences were significant for the APC, BIN1, BMP6, BRCA1, CST6, ESR-b, P16, PTEN and TIMP3 promoter regions (P<0.05). Among those candidate methylated genes, APC, BMP6, BRCA1 and P16 displayed higher methylation proportion in the matched lymph node metastasis than that found in the normal tissue (P<0.05). The pathway analysis revealed that BMP6, BRCA1 and P16 have a role in prevention of neoplasm metastasis.
The results of the present study showed methylation heterogeneity between primary tumors and metastatic lesion. The contribution of aberrant methylation alterations of BMP6, BRCA1 and P16 genes in lymph node metastasis might provide a further clue to establish useful biomarkers for screening metastasis.
- Breast cancer
Breast cancer is one of the most common malignancies with a high mortality rate among women . Breast cancer, a heterogeneous disease, presents various pathological signs such as axillary lymph node metastasis which is associated with a high risk of recurrence and considered as an important prognosis factor in the early stages of the disease [2, 3]. Invasion and metastasis are two important hallmarks of malignant tumors associated with complex genetic and epigenetic alterations that allow tumors to disseminate throughout lymphatics or blood vessels, giving rise to the colonization and growth of metastatic cells in distant organs [4–6]. Considering that tumor dissemination is an early event in breast cancer , genetic and epigenetic analysis of tumors and metastatic lesions could provide results for biomarker discovery and may improve diagnosis, prognosis and proper management of the treatment for breast cancer patients.
The contribution of aberrant DNA hypermethylation of cancer related genes to the transcriptional silencing and carcinogenesis has been demonstrated in different diseases including different cancer types [7, 8]. The methylation profile of genes involved in critical molecular processes such as cell cycle control, DNA repair and angiogenesis in breast cancer has been investigated [9–12]. Since the lymphatic system has a direct dispatch to spread primary tumor cells to the lymph nodes in breast cancer, primary tumor signatures has been considered as surrogate for lymph node metastasis. However, this persuasion has recently been controversial especially in the context of DNA methylation pattern from primary to metastasis in breast cancer [9, 10, 13]. According to best of our knowledge genome-wide DNA methylation was reported in few metastatic breast cancer cell lines ,however, methylation pattern of individual candidate genes in both the primary and lymph node metastases has been explored in clinical specimens [14, 15]. Therefore the profile of metastasis in breast cancer patients is less characterized and poorly understood which needs further studies to understand the relationship between epigenetic alteration and metastases in breast cancer.
Our previous approach revealed methylation signatures of 42, 528 CpG sites from 22 breast cancer candidate genes that demonstrated promoter hypermethylation of 10 genes involved in cell cycle and DNA repair, invasion and metastasis, cell proliferation, signal transduction and cell detoxification . Moreover, we have shown hypermethylation of the two additional genes involved in TP53 regulatory pathway in the breast cancer patients [17, 18]. The significance of using these hypermethylated genes as circulating biomarkers has been explored as well . The present study investigated the contribution of significant aberrant methylation profile of twelve cancer related genes from the aforementioned studies (APC, BIN, BMP6, BRCA1, CST6, ESR-b, GSTP1, P14, P16, P21, PTEN and TIMP3) in matched axillary lymph node metastasis in comparison to the primary tumor tissue and the adjacent normal tissue from the same breast cancer patients to identify the potential of aberrant methylation profile of the candidate genes as metastatic signature.
Sampling and pathological classification
Clinical characteristics of the studied cohort
Total no. of patients
Breast cancer tumor type
Age mean ± S.D. (range)
No. of patients with distance metastasis
ER positive patients
PR positive patients
C-ERB2 positive patients
48 ± 9.53 (33-69)
The entirely neoplastic and adjacent normal frozen sections were subjected for DNA extraction. Five to ten sections with 90% neoplastic coverage applied for DNA extraction, and last section was checked for the correct characterization, using the High Pure PCR Template Preparation Kit (Roche, Germany). The rest of the samples were fixed in 10% buffered formalin for immunohistochemical staining study.
Methylation analysis using thymidine-specific cleavage mass array on MALDI-TOF silico-chip
The SEQUENOM’s EpiTYPER™ assay is a methylation quantification method which relies on MALDI-TOF MS . The theory and practice of this approach for DNA methylation quantification has been confirmed by previous studies [16, 20, 21]. In the current study, this assay was used to quantify the methylation of APC, BIN1, BRCA1, BMP6, CST6, ESR-b, GSTP1, P14, P16, P21, PTEN and TIMP3 promoter regions.
Bisulfite conversion of the target sequences was performed according to the instruction of the Epitect® Bisulfite Kit (QIAGEN AG, Basel, Switzerland).
Primer designing and PCR-tagging for EpiTYPERTM assay
To design PCR primer for the candidate genes, CpG density and CpG sites of the twelve targeted sequences were analyzed. According to our previous publications, we used the same primer sequences which were tagged with T7-promoter for the reverse and a 10 mer sequences to the forward primer to balance the PCR condition and primer pairs can cover the promoter regions with the most CpG sites using MethPrimer. The primer sequences, annealing temperatures (T a ) and PCR conditions are described in Additional file 1.
In vitro transcription, T-cleavage assay and mass spectrometry
Unincorporated dNTPs were dephosphorylated by adding 1.7μL H2O and 0.3 units of shrimp alkaline phosphatase (SAP; SEQUENOM, Inc., San Diego, CA). The reaction mixture was incubated at 37°C for 20 minutes and the SAP was then heat inactivated for 10 minutes at 85°C. Typically, 2μL of the PCR were used directly as a template in a 5μL transcription reaction. Twenty units of T7 R&DNA polymerase (Epicentre, Madison, WI) were used to incorporate dTTP in the transcripts. Ribonucleotides were used at 1 mmol/L and the dNTP substrate at 2.5 mmol/L. In the same step, the in vitro transcription RNase A (SEQUENOM) was added to cleave the in vitro transcript (T-cleavage assay). The mixture was further diluted with H2O to a final volume of 27μL. Twenty-two nanoliters of cleavage reaction were robotically dispensed (nanodispenser) onto silicon chips preloaded with matrix (SpectroCHIP; SEQUENOM, San Diego). Mass spectra data were collected using a MassARRAY Compact MALDI-TOF (SEQUENOM) and spectra’s methylation proportions were generated by the Epityper software v1.0 (SEQUENOM, San Diego).
Cell signaling and pathway analysis
Gene networks and canonical pathways displaying hypermethylated genes in lymph node metastasis were identified using the Pathway Studio® software version 7.1 (Mammal) database (Ariadne Genomics, Inc., Rockville, USA). The functional analysis identified the biological perspective of the genes that were most relevant to the data sets and facilitated the understanding beyond their functional link to breast neoplasm and metastasis.
Data analysis was performed using the SPSS software (Statistical Software Package for Windows, version 19). Distribution of data was analyzed by Kolmogorov-Smirnov test that demonstrated our data set was not normally distributed (P < 0.001). Quantitative methylation profile of the twelve candidate genes were compared among primary tissue, adjacent matched normal tissue and their matched lymph node metastasis using the two-way hierarchical cluster analysis. The CpG sites for each gene were clustered based on pair-wise Euclidean distances and linkage algorithm for all studied samples according to the previously developed method by Gene Expression Statistical System (GESS) version 7.1.19 (NCSS, Kaysville, Utah, USA) and the statistical differences between mean methylation quantity of the informative CpG sites per genes were identified using Mann-Whitney-U-Test. The non-parametric Spearman's rho test was performed to find out significance clinical-pathological parameters.
Quantitative methylation profiles of the 12 breast cancer candidate genes promoter using MALDI-TOF MS
High-throughput methylation analysis of CpG sites per amplicon for the 12 candidate genes
Amplicon size (bp)
Total No. of CpG sites in amplicon
No. of analyzed CpG sites in amplicon
No. of analyzed CpG sites per amplicons
ESR-b (ER beta)
The different levels of methylation between studied samples were identified using the two-way hierarchical cluster analysis. The methylation cluster analysis for each individual studied gene is illustrated in Additional file 2.
Methylation alterations of the primary tumor tissue
Methylation quantification of the 12 candidate genes revealed significantly higher methylation proportion for promoter regions of APC, BIN1, BMP6, BRCA1, CST6, ESR-b, P16, PTEN and TIMP3 in primary tumor tissue versus matched normal tissue (P < 0.05, P < 0.05, P < 0.01, P < 0.0001, P < 0.01, P < 0.01, P < 0.05, P < 0.05, P < 0.01 ; respectively). Methylation analysis of GSTP1, P14 and P21 in primary tumor tissue showed slightly higher methylation proportion in comparison to the matched normal tissue, however, the differences were not significant (Figure 2b).
Methylation alterations of the matched lymph node metastasis
Comparison of methylation profiles of the 12 breast cancer candidate genes in the paired lymph node metastasis to the matched normal tissue showed significantly higher methylation levels for APC, BMP6, BRCA1 and P16 genes (P < 0.05 and P < 0.01, P < 0.0001, P < 0.05; respectively). The lymph node metastasis was even more hypermethylated for BMP6 than the primary tumor tissue (P < 0.05). The promoter region of BIN1, BMP6, BRCA1, GSTP1, P14 and TIMP3 showed significantly lower methylation ratio in the lymph node metastasis than the primary tissue ( P < 0.0001, P < 0.05, P < 0.05, P < 0.01, P < 0.05, P < 0.05; respectively).
Comparing the lymph node metastasis to the matched normal tissue, the former revealed differentially lower methylation ratio for BIN1, GSTP1 and P14 promoter regions (P < 0.05, P < 0.01, P < 0.05; respectively) (Figure 2).
Relationship of methylation alterations within the promoter region of 12 breast cancer candidate genes and clinicopathological parameters
Clinicopathological parameters with the methylation proportion of the 12 candidate genes in primary tumor tissue and matched lymph node metastasis were analyzed. The analyses showed significant correlation between higher methylation level of GSTP1 and increasing the histological grade in the primary tumor tissue (Spearman's rho test; P < 0.05). The higher methylation proportion of BIN1 showed significant correlation with expressed ER in primary tumor tissue (Spearman's rho test; P < 0.01). Methylated TIMP3 revealed significant correlation to the primary tumor tissue lacking expression of PR (Spearman's rho test; P < 0.05). The increase of methylation of P21 showed an inverse correlation with the expression of C-ERB2 in the primary tumor tissue (Spearman's rho test; P < 0.05). We could not find any significant correlations between methylation alterations in either of the matched lymph node metastasis and clinicopathological parameters.
Aberrant methylation profiles and silencing of a small subset of tumor suppressors and cancer related genes involved in both the primary tumor and lymph node metastasis has been investigated for breast cancer [11, 22–24]. Several studies on breast cancer revealed some similarities and differences between promoter methylation pattern of the studied genes in primary and lymph node metastatic [16, 19, 25]. These investigations highlight the important role of aberrant promoters’ methylation in the metastatic process. In the present study, we implemented the methylation signature of the 12 breast cancer candidate genes (APC, BIN1, BMP6, BRCA1, CST6, ESR-b, GSTP1, P14, P16, P21, PTEN and TIMP3) by comparing lymph nodes metastasis to their matched primary tumor tissues and normal tissues from the same breast cancer patients.
The quantitative methylation analysis of the 12 studied genes in the present cohort showed higher methylation proportion for the primary tumor tissue versus matched normal tissue and the differences were significant for APC, BIN1, BMP6, BRCA1, CST6, ESR-b, P16, PTEN and TIMP3 promoter regions (P < 0.05, P < 0.05, P < 0.01, P < 0.0001, P < 0.01, P < 0.01, P < 0.05, P < 0.05, P < 0.01; respectively). Among the significant methylated genes, APC, BMP6, BRCA1 and P16 represented higher methylation proportions in matched lymph node metastasis compared to those of the normal tissue (P < 0.05 and P < 0.01, P < 0.0001, P < 0.05; respectively). Present findings provided evidence of differences in methylation status between primary tumors and their corresponding matched lymph nodes and demonstrated methylation heterogeneity between primary tumors and metastatic lesion which are in line with previous reports described about primary tumor and metastasis in breast, gastric and colorectal cancers [13, 26, 27]. The results also indicated that some of the cancer specific changes become altered over the metastasis procedure. The mechanism for losing or gaining methylation in lymph nodes metastatic is still not clear while the alteration of the methylation signature from primary to metastasis might be due to the adaptation response of the disseminated cells to the microenvironment at the site of colonization .
In conclusion, the present study showed aberrant tumor-specific methylation alterations for APC, BIN1, BMP6, BRCA1, CST6, ESR-b, GSTP1, P14, P16, P21, PTEN and TIMP3 in the studied cohort. Additionally, we identified methylation heterogeneity between primary tumors and metastatic lesions. The contribution of aberrant methylation alterations of BMP6, BRCA1 and P16 genes in lymph node metastasis might provide a further clue to establish useful biomarkers for screening metastasis, which might improve prognosis and therapeutic management of the breast cancer patients.
We are indebted to the patients for their cooperation. We thank Ms. Vivian Kiefer for her help. This work was supported by Swiss National Science Foundation (320030_124958/1).
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