Stage-specific methylome screen identifies that NEFL is downregulated by promoter hypermethylation in breast cancer

  • Authors:
    • Seongeun Kang
    • Byungtak Kim
    • Sung-Bin Park
    • Gookjoo Jeong
    • Han-Sung Kang
    • Ran Liu
    • Sun Jung Kim
  • View Affiliations

  • Published online on: September 10, 2013
  • Pages: 1659-1665
Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Aberrant hypermethylation of promoter regions in specific genes is a key event in the formation and progression of breast cancers, and an increasing number of marker genes have been identified. However, few genes which show methylation change in accordance with the progression of breast cancer have been identified. To identify genes which consistently undergo promoter methylation alterations as the tumor develops from a benign to a malignant form, genome-wide methylation databases of breast cancer cell lines from stage I to stage IV were analyzed. Heatmap and cluster analysis revealed that the genome-wide methylation changes showed a good accordance with tumor progression. Seven out of 14,495 genes were found to be consistently increased alongside the promoter methylation level through the normal cell line to the cancer stage IV cell lines. NEFL, one of the in silico hypermethylated genes in cancer, showed hypermethylation and lower expression in the cancer cell line MDA-MB-231, as well as in cancer tissues (methylation, p<0.05; expression, p<0.01). The expression was restored by inducing demethylation of the promoter in MDA-MB-231 cells. Our findings may lend credence to the possibility of using tumor stage-specific alterations in methylation patterns as biomarkers for estimating prognosis and assessing treatment options for breast cancer.


Carcinogenesis of breast cancer is a complicated process that is initiated from a limited number of cancer cells and proceeds to malignancy (1). Genetic as well as epigenetic changes of tumor suppressors and/or oncogenes have been known to contribute to the process (2). Promoter methylation change leads to epigenetic modification which also includes ones by histone change and miRNA (3,4). Well known tumor suppressors, such as p53, RASSF1A and BRCA1, are inactivated by hypermethylation of their promoters in breast cancer (57). So far, examination of methylation has been focused on comparison of the methylation level between normal and cancer cells, or before and after the administration of chemical treatments to cultured cells and tissue. Genome-wide methylation screen in normal vs. tumor tissue identified epigenetically modified biomarkers, including BCAB, HOXD1 and POU4F1, revealing an over-representation of homeobox genes and genes involved in the regulation of transcription (8). It has been further claimed that aberrant methylation occurs at an early stage in breast tumorigenesis (9,10). In accordance with this hypothesis, TLX1, HOXB13 and Caveolin-1 showed early onset of methylation in stage I breast tumors (11).

Methylation change can be associated with tumor stage or site of tumor (12). For example, trends of increasing RASSF1 methylation were observed to occur in association with increasing tumor size and advancement of the stage of breast cancer (13). In another study, ADAM33 was determined to be silenced by promoter methylation, showing hypermethylation in invasive lobular carcinoma (76.2%) compared to invasive ductal carcinoma (25.5%) (14).

Even though the number of genes which are associated with methylation change in carcinogenesis are being increased, the methylation trend has been observed in only a few cases. A functional hypermethylome screen identified genes such as CKM and TAC1 which show a stage-dependent methylation frequency pattern, as candidates to help delineate breast cancer prognostic signatures (15). An in vitro model of human breast epithelial cell transformation with MCF-10F normal cell line and its transformed derivatives at transformed stage, invasive stage, and tumor stage showed increased DNA methylation during the invasive and tumor stages (16). In the study, NRG1 was unmethylated in normal cells and transformed cells, becoming hypermethylated in the invasive and tumor stage. Few systemic trials have been carried out in a way which identifies genes showing linearity between promoter methylation and tumor progression (17).

In this study, we analyzed the Illumina methylation array data that were registered on the GEO database, representing genome-wide methylation at a normal breast cell line and at tumor cell lines of cancer stages I–IV. Comparison analysis revealed a close relationship between the genome-wide methylation and cancer stage. In addition, NEFL was identified as a novel epigenetic marker, which was hypermethylated and downregulated in breast cancer.

Materials and methods

Study subjects

All patients provided written informed consent to donate removed tissue to the National Cancer Center (NCC, Seoul) in Korea and samples were obtained according to protocols approved by the Research Ethics Board of NCC. Forty pairs of breast cancer (BrCa) and their corresponding adjacent normal tissue specimens were obtained from patients who had undergone surgery between 2011 and 2012 at NCC. BrCa specimens were subjected to histological examination by an expert pathologist for independent confirmation of the cancer stage.

Cell culture

A normal breast cell line, MCF 10A, and breast cancer cell lines, HCC1395 (stage I) and MDA-MB-231 (stage IV) were purchased from American Type Culture Collection (ATCC; Manassas, VA). HCC38 (stage II) was purchased from Korea Cell Line Bank (KCLB; Seoul, Korea). HCC38, HCC1395 and MDA-MB-231 were cultured in RPMI-1640 supplemented with 10% fetal bovine serum (FBS). MCF 10A was grown in MEBM supplemented with MEGM Single Quots (Lonza, Basel, Switzerland). All cell types were cultured on the surface of a 75 cm2 culture flask.

Methylation-specific PCR (MSP)

Chromosomal DNA from approximately 100 mg of tissue samples was isolated using a genomic DNA purification kit (Promega, Madison, WI) according to the manufacturer’s protocol, with a 60 μl elution volume. Chromosomal DNA from cultures in a 75 cm2 flask was isolated using an AllPrep DNA/RNA Mini Kit (Qiagen, Valencia, CA) with 100 μl elution volume. Sodium bisulfite modification of genomic DNA and PCR was carried out as previously described (18). Briefly, 0.1 mg of DNA was treated with sodium bisulfite and then PCR was carried out using primers (Table I) and a Kapa SYBR Fast qPCR kit (Kapa Biosystems, Woburn, MA). A methylation index was calculated for each sample using the following formula: methylation index = 1/[1+2−(CTu−CTme)] × 100%, where CTu is the cycle threshold (CT) obtained using the unmethylated primer pair and CTme is the average CT obtained using the methylated primer pair.

Table I.

Sequences of primers employed in this study.

Table I.

Sequences of primers employed in this study.

GenesForward primer (5′→3′)Reverse primer (5′→3′)
Real-time RT-PCR
Real-time RT-PCR

Total RNA from approximately 100 mg of tissues was prepared using TRIzol reagent according to the manufacturer’s protocols (Gibco-BRL, Carlsbad, CA), and was finally suspended in 30 μl of distilled water. Total RNA from a 75 cm2 culture flask was prepared using the RNeasy Plus mini kit (Qiagen) and was finally eluted with 30 μl of distilled water. Reverse transcription was conducted using 5 μg of total RNA with a reverse transcription kit (Promega). Expression levels of selected genes were measured by real-time quantitative RT-PCR analysis using a Kapa SYBR Fast qPCR kit (Kapa Biosystems) on an ABI 7300 instrument (Applied Biosystems). One microliter of cDNA was used for PCR, which was performed in duplicate. Primers used for the RT-PCR are listed in Table I. RNA quantity was normalized to GAPDH content, and gene expression was quantified according to the 2−ΔCt method.

Databases and statistical analysis

The Infinium Methylation Chip data for a breast normal cell line and cancer cell lines were obtained from the GEO database ( The selected cell lines are: normal, MCF 10A; breast cancer stage I, HCC1395; stage II, HCC1008, HCC1143, HCC1954, HCC1937, HCC38; stage III, HCC1599, HCC2218; stage IV, HCC1569, MDA-MB-231. Observations with adjusted p-values ≥0.05 were removed, and thus excluded from further analysis. Following adjustment, the remaining genes were defined as differentially methylated if they displayed increased methylation levels when compared to that of the previous stage of the cell line. A hierarchical clustering dendrogram was generated by Gene Cluster 3.0 (∼mdehoon/software/cluster/software.htm) to determine the relationship between the methylation profile and developmental stage of the tumor. Student’s t-test was used to detect differences in mean levels of methylation and the expression level between the normal and cancer tissues using SPSS for Windows, version 17.0 (SPSS Inc., Chicago, IL). P-values <0.05 were considered to be statistically significant.


In silico methylome analysis revealed that genome-wide methylation is closely linked with cancer development

A group of genome-wide methylation databases was collected and analyzed for genes for which the methylation level consistently increased or decreased with the progress of breast tumor stage. The data were obtained by carrying out Illumina methylation array covering 14,495 genes and 27,578 CpG sites, and databases were available for cell lines and tissues at the GEO database ( As it is well known that the estrogen receptor (ER) status of cancer cells affects the methylation and expression of many genes in breast cancer (19,20), databases were first screened so that they were derived from the same ER status. Of the databases, only ER-negative (ER) cell lines were available with a full set, which included at least one database at both normal and all the cancer developmental stages, I–IV. Therefore an ER normal cell line, MCF 10A, and ten ER cancer cell lines were selected and analyzed. To examine the correlation between the methylation change and tumor progression, the genes from the microarray were first filtered so that false-negative genes (p<0.05) were excluded. In total, 12,787 CpG sites remained common to all normal and cancer cells. Class comparison and heatmap analysis were carried out based on the methylation index of the genes. Interestingly, the cell lines were arranged in the dendrogram in such a way that normal cells and early stage cells were linked closer together, and likewise, late stage cells were located closer to each other (Fig. 1). Notably, the two cell lines at stage IV, HCC1569 and MDA-MB-231, were most closely related, showing the shortest distance. This result indicates that the genome-wide methylation change from benign to advanced cancerous cell occurs with a trend during carcinogenesis.

Identification of hypermethylated genes with consistent change of methylation according to cancer stages

Genes showing a gradual increase or decrease alongside tumor development were identified by comparing their methylation levels after screening statistically significant genes (Table II). First, observations with adjusted p-values ≥0.05 were removed, and thus excluded from further analysis. Then, using an MS Excel-based filtering procedure, genes of which methylation level consistently increases or decreases as the tumor cell lines develops into the higher cancer stage were selected. As shown in Fig. 2, seven genes were revealed to be consistently hypermethylated. It is notable that NEFL, PPP1R14C and TTLL3 showed a step-wise increase of methylation through all the stage from 3.0–17% methylation at stage I to 74–86% methylation at stage IV. For the hypomethylated genes in cancer, no remarkable genes were found, which showed a consistent decrease of methylation from normal cells to stage IV cancer cells (data not shown). PPP1R14C is a protein phosphatase 1 inhibitor, and has been previously identified as an upregulating gene after induction of demethylation in melanoma cell lines (21). TTLL3 is a tubulin glycine ligase which regulates the assembly of microtubules, of which the relevance with cancer has yet to be elucidated (22).

Table II.

Genes displaying consistently increasing methylation pattern according to cancer development in breast cancer cell lines.

Table II.

Genes displaying consistently increasing methylation pattern according to cancer development in breast cancer cell lines.


GeneAccession no.DescriptionNormalIIIIIIIV
NEFLNM_006158.1Neurofilament; light polypeptide 68 kDa0.04a0.050.180.560.86
PPP1R14CNM_030949.1Protein phosphatase 1; regulatory (inhibitor) subunit 14C; serologically defined breast cancer antigen NY-BR-810.
TECNM_003215.1Tec protein tyrosine kinase0.590.600.620.680.81
MSRANM_012331.2Methionine sulfoxide reductase A0.
TTLL3NM_015644.2Tubulin tyrosine ligase-like family; tubulin-tyrosine ligase activity0.020.110.420.480.78
KIAA0372NM_014639.2Hypothetical protein LOC9652; structural constituent of ribosome0.

a Methylation level (β-value) in normal and cancer cell lines. The roman numbers denote specific cancer stage of the cell lines. The values are average of cell lines at each stage.

NEFL is downregulated by hypermethylation in breast cancer

To reveal the effect of methylation on gene expression for the in silico identified genes, and thereby to develop potential epigenetic breast cancer markers, NEFL, which has shown a consistent increase of methylation, was selected and examined for its promoter methylation and expression in both cell lines and tissues. NEFL is a component of the three-subunit protein, neuronal intermediate filament (23). In addition to its influence on the nervous system, NEFL has been shown to act as a tumor suppressor in several types of cancer (24). However, the epigenetic mechanism of the downregulation has not been elucidated.

It was found that NEFL was downregulated in all examined cancer cell lines of stages I, II, and IV, compared to the normal cell line (Fig. 3B). Induction of demethylation by 5-Aza-dC in the MDA-MB-231 cells recovered the expression with a 4-fold increase (Fig. 3D). Next, NEFL was examined for its methylation and expression in breast cancer tissues. Thirty-six pairs of cancer tissue and normal tissues from the same area were examined for promoter methylation by MSP analysis. The result indicated that the gene is hypermethylated in cancer tissues compared to normal tissues (p<0.05) (Fig. 4). Real-time RT-PCR was carried out to monitor NEFL expression and the result indicated that the gene is downregulated in cancer tissues (p<0.01) (Fig. 5). These molecular experimental results together with the in silico data suggest that NEFL could be developed as an epigenetic marker for breast cancer.


This study was carried out with the aim of identifying breast cancer stage-specific markers which are regulated by promoter methylation, and which show a consistent increase or decrease of methylation level during carcinogenesis. Cluster analysis determined that there was a significant correlation between genome-wide methylation and cancer stage, possibly implying that genome-wide methylation at each cancer stage poses its unique pattern and also changes following the cancer stages.

In terms of DNA methylation, cancer cells show global hypomethylation and site-specific promoter hypermethylation (25,26). When the methylation level of the 26,250 filtered genes from the database were summed up, there was no significant difference between the normal cell lines and various cancer stages. Furthermore, only a few genes showed a consistent increase of methylation as the cancer cell line stage increased. These facts may indicate that the genome-wide methylation at the promoters undergo dynamic hypermethylation as well as hypomethylation depending on specific genes. However, it should be mentioned that the data from the database did not cover the whole CpG sites of the genome.

Genome-wide analysis identified candidate genes showing a consistently increasing methylation pattern. It still remains controversial when cancer-related genes are methylated during carcinogenesis. Early onset of methylation helps make DNA methylation biomarkers attractive predictors for the development of effective diagnostic tests for the early detection of neoplasia (27). The late stage onset of methylation may be difficult to detect at the early stages of carcinogenesis. Nonetheless, there appeared gene sets which showed the highest methylation at a specific cancer stage. These results imply that the specific cancer stage is predictable using the stage-specific methylation markers. To do this, however, the methylation data for candidate genes should be accumulated from a larger collection of cancer tissues.

In previous studies, loss of heterozygosity pattern on the human chromosomal region 8p12-p21 harboring the NEFL gene was frequently observed in breast carcinoma, suggesting its role as a tumor suppressor (28). This is in accordance with another study where NEFL expression was downregulated in malignant breast cancer (24). The relationship between promoter methylation and expression is known only in head and neck cancer (29). In the study, NEFL was identified as a hypermethylated gene associated with resistance to cisplatin-based chemotherapy in head and neck cancer. However, no analysis of the relationship between promoter methylation and expression has been carried out in cancer.

The database adopted in this study contains only methylation data from ER cancer cell lines due to the incompleteness of ER+ cell lines, and due to the lack of ER status information for cancer tissues. It is known that ER affects the promoter methylation as well as the expression of specific genes. In general, ER-positive tumors displayed more hypermethylated loci than ER-negative tumors. However, the hypermethylated loci in ER-negative tumors were clustered closer to the transcriptional start site compared with ER-positive tumors (20). At the gene level, ER+ and ER cancer displayed different sets of hypermethylated or hypomethylated genes. MGMT, involved in direct DNA repair, was frequently hypermethylated in the triple-negative (ER/PgR/Her3 negative) breast cancer (30). Meanwhile, FAM124B and ST6GALNAC1 were hypermethylated in ER+/PR+ breast cancer (31). In addition, methylation of miRNAs also showed association with ER status. The promoter of the hsa-mir-200b cluster is hyper-methylated in breast cancer and its methylation is associated with the loss of either estrogen receptor or progesterone receptor (19).

Taken together, we found that genome-wide methylation status is closely related with the specific stage of breast cancer development, implying a gradual change of global methylation during carcinogenesis. In addition, a subset of genes showed a gradual increase or decrease of methylation in accordance with breast cancer development in cell lines with a sudden change from stage II to stage IV. NEFL, identified in silico as a gene showing a gradual increase of methylation level, was proven to be upregulated in breast cancer tissue as well as cell lines. Further investigation into the mechanisms leading to differential methylation status with breast tumor stage and progression may provide additional insights, which could prove useful in estimating prognosis and determining treatment options.





cytosine guanine dinucleotide;


estrogen receptor;


methylation-specific PCR;


reverse transcription-polymerase chain reaction


The authors thank S.H. Kang for his contribution to preparation of the manuscript. This study was supported by the Basic Science Research Program (NRF-2012R1A1A2040830) and Korea-China Joint Program (NRF-2011-616-C00056) through the National Research Foundation of Korea (NRF), funded by the Ministry of Education, Science and Technology, and by a National Science Foundation of China (NSFC) Grant (nos. 81172747 and 81111140396).



Pare R, Yang T, Shin JS and Lee CS: The significance of the senescence pathway in breast cancer progression. J Clin Pathol. 66:491–495. 2013. View Article : Google Scholar : PubMed/NCBI


Harburg GC and Hinck L: Navigating breast cancer: axon guidance molecules as breast cancer tumor suppressors and oncogenes. J Mammary Gland Biol Neoplasia. 16:257–270. 2011. View Article : Google Scholar : PubMed/NCBI


Shi L, Sun L, Li Q, et al: Histone demethylase JMJD2B coordinates H3K4/H3K9 methylation and promotes hormonally responsive breast carcinogenesis. Proc Natl Acad Sci USA. 108:7541–7546. 2011. View Article : Google Scholar : PubMed/NCBI


Krell J, Frampton AE, Jacob J, Castellano L and Stebbing J: miRNAs in breast cancer: ready for real time? Pharmacogenomics. 13:709–719. 2012. View Article : Google Scholar : PubMed/NCBI


Kang JH, Kim SJ, Noh DY, et al: Methylation in the p53 promoter is a supplementary route to breast carcinogenesis: correlation between CpG methylation in the p53 promoter and the mutation of the p53 gene in the progression from ductal carcinoma in situ to invasive ductal carcinoma. Lab Invest. 81:573–579. 2001. View Article : Google Scholar


Yan PS, Shi H, Rahmatpanah F, et al: Differential distribution of DNA methylation within the RASSF1A CpG island in breast cancer. Cancer Res. 63:6178–6186. 2003.PubMed/NCBI


Matros E, Wang ZC, Lodeiro G, Miron A, Iglehart JD and Richardson AL: BRCA1 promoter methylation in sporadic breast tumors: relationship to gene expression profiles. Breast Cancer Res Treat. 91:179–186. 2005. View Article : Google Scholar : PubMed/NCBI


Faryna M, Konermann C, Aulmann S, et al: Genome-wide methylation screen in low-grade breast cancer identifies novel epigenetically altered genes as potential biomarkers for tumor diagnosis. FASEB J. 26:4937–4950. 2012. View Article : Google Scholar


Van Hoesel AQ, Sato Y, Elashoff DA, et al: Assessment of DNA methylation status in early stages of breast cancer development. Br J Cancer. 108:2033–2038. 2013.PubMed/NCBI


Miyamoto K, Fukutomi T, Akashi-Tanaka S, et al: Identification of 20 genes aberrantly methylated in human breast cancers. Int J Cancer. 116:407–414. 2005. View Article : Google Scholar : PubMed/NCBI


Chen ST, Lin SY, Yeh KT, et al: Mutational, epigenetic and expressional analyses of caveolin-1 gene in breast cancers. Int J Mol Med. 14:577–582. 2004.PubMed/NCBI


Hu M, Yao J, Cai L, et al: Distinct epigenetic changes in the stromal cells of breast cancers. Nat Genet. 37:899–905. 2005. View Article : Google Scholar : PubMed/NCBI


Sebova K, Zmetakova I, Bella V, et al: RASSF1A and CDH1 hypermethylation as potential epimarkers in breast cancer. Cancer Biomark. 10:13–26. 2011.PubMed/NCBI


Mohammad J, Zeerak A and Hjerten S: Dye-ligand affinity chromatography on continuous beds. Biomed Chromatogr. 9:80–84. 1995. View Article : Google Scholar : PubMed/NCBI


Jeschke J, Van Neste L, Glockner SC, et al: Biomarkers for detection and prognosis of breast cancer identified by a functional hypermethylome screen. Epigenetics. 7:701–709. 2012. View Article : Google Scholar : PubMed/NCBI


Fernandez SV, Snider KE, Wu YZ, Russo IH, Plass C and Russo J: DNA methylation changes in a human cell model of breast cancer progression. Mutat Res. 688:28–35. 2010. View Article : Google Scholar : PubMed/NCBI


Loss LA, Sadanandam A, Durinck S, et al: Prediction of epigenetically regulated genes in breast cancer cell lines. BMC Bioinformatics. 11:3052010. View Article : Google Scholar : PubMed/NCBI


Kim JH, Kang HS, Kim TW and Kim SJ: Differential methylation hybridization profiling identifies involvement of STAT1-mediated pathways in breast cancer. Int J Oncol. 39:955–963. 2011.PubMed/NCBI


Wee EJ, Peters K, Nair SS, et al: Mapping the regulatory sequences controlling 93 breast cancer-associated miRNA genes leads to the identification of two functional promoters of the Hsa-mir-200b cluster, methylation of which is associated with metastasis or hormone receptor status in advanced breast cancer. Oncogene. 31:4182–4195. 2012.


Fackler MJ, Umbricht CB, Williams D, et al: Genome-wide methylation analysis identifies genes specific to breast cancer hormone receptor status and risk of recurrence. Cancer Res. 71:6195–6207. 2011. View Article : Google Scholar : PubMed/NCBI


Bonazzi VF, Irwin D and Hayward NK: Identification of candidate tumor suppressor genes inactivated by promoter methylation in melanoma. Genes Chromosomes Cancer. 48:10–21. 2009. View Article : Google Scholar : PubMed/NCBI


Wloga D, Webster DM, Rogowski K, et al: TTLL3 is a tubulin glycine ligase that regulates the assembly of cilia. Dev Cell. 16:867–876. 2009. View Article : Google Scholar : PubMed/NCBI


Abe A, Numakura C, Saito K, et al: Neurofilament light chain polypeptide gene mutations in Charcot-Marie-Tooth disease: nonsense mutation probably causes a recessive phenotype. J Hum Genet. 54:94–97. 2009. View Article : Google Scholar


Li XQ, Li L, Xiao CH and Feng YM: NEFL mRNA expression level is a prognostic factor for early-stage breast cancer patients. PLoS One. 7:e311462012. View Article : Google Scholar : PubMed/NCBI


Shen L, Kondo Y, Guo Y, et al: Genome-wide profiling of DNA methylation reveals a class of normally methylated CpG island promoters. PLoS Genet. 3:2023–2036. 2007. View Article : Google Scholar : PubMed/NCBI


Sincic N and Herceg Z: DNA methylation and cancer: ghosts and angels above the genes. Curr Opin Oncol. 23:69–76. 2011. View Article : Google Scholar : PubMed/NCBI


Carmona FJ and Esteller M: DNA methylation in early neoplasia. Cancer Biomark. 9:101–111. 2010.PubMed/NCBI


Seitz S, Werner S, Fischer J, Nothnagel A, Schlag PM and Scherneck S: Refined deletion mapping in sporadic breast cancer at chromosomal region 8p12-p21 and association with clinicopathological parameters. Eur J Cancer. 36:1507–1513. 2000. View Article : Google Scholar : PubMed/NCBI


Chen B, Chen J, House MG, Cullen KJ, Nephew KP and Guo Z: Role of neurofilament light polypeptide in head and neck cancer chemoresistance. Mol Cancer Res. 10:305–315. 2012. View Article : Google Scholar : PubMed/NCBI


Fumagalli C, Pruneri G, Possanzini P, et al: Methylation of O6-methylguanine-DNA methyltransferase (MGMT) promoter gene in triple-negative breast cancer patients. Breast Cancer Res Treat. 134:131–137. 2012. View Article : Google Scholar : PubMed/NCBI


Li L, Lee KM, Han W, et al: Estrogen and progesterone receptor status affect genome-wide DNA methylation profile in breast cancer. Hum Mol Genet. 19:4273–4277. 2010. View Article : Google Scholar : PubMed/NCBI

Related Articles

Journal Cover

November 2013
Volume 43 Issue 5

Print ISSN: 1019-6439
Online ISSN:1791-2423

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
Kang, S., Kim, B., Park, S., Jeong, G., Kang, H., Liu, R., & Kim, S.J. (2013). Stage-specific methylome screen identifies that NEFL is downregulated by promoter hypermethylation in breast cancer. International Journal of Oncology, 43, 1659-1665.
Kang, S., Kim, B., Park, S., Jeong, G., Kang, H., Liu, R., Kim, S. J."Stage-specific methylome screen identifies that NEFL is downregulated by promoter hypermethylation in breast cancer". International Journal of Oncology 43.5 (2013): 1659-1665.
Kang, S., Kim, B., Park, S., Jeong, G., Kang, H., Liu, R., Kim, S. J."Stage-specific methylome screen identifies that NEFL is downregulated by promoter hypermethylation in breast cancer". International Journal of Oncology 43, no. 5 (2013): 1659-1665.