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Cancer Genes and Genomics

Overexpression and Hypomethylation of Flap Endonuclease 1 Gene in Breast and Other Cancers

Purnima Singh, Ming Yang, Huifang Dai, Dianke Yu, Qin Huang, Wen Tan, Kemp H. Kernstine, Dongxin Lin and Binghui Shen
DOI: 10.1158/1541-7786.MCR-08-0269 Published November 2008

Abstract

Flap endonuclease 1 (FEN1) is a structure-specific nuclease best known for its critical roles in Okazaki fragment maturation, DNA repair, and apoptosis-induced DNA fragmentation. Functional deficiencies in FEN1, in the forms of somatic mutations and polymorphisms, have recently been shown to lead to autoimmunity, chronic inflammation, and predisposition to and progression of cancer. To explore how FEN1 contributes to cancer progression, we examined FEN1 expression using 241 matched pairs of cancer and corresponding normal tissues on a gene expression profiling array and validated differential expression by quantitative real-time PCR and immunohistochemistry. Furthermore, we defined the minimum promoter of human FEN1 and examined the methylation statuses of the 5′ region of the gene in paired breast cancer tissues. We show that FEN1 is significantly up-regulated in multiple cancers and the aberrant expression of FEN1 is associated with hypomethylation of the CpG island within the FEN1 promoter in tumor cells. The overexpression and promoter hypomethylation of FEN1 may serve as biomarkers for monitoring the progression of cancers. (Mol Cancer Res 2008;6(11):1710–7)

Keywords:
  • Flap endonuclease 1
  • overexpression
  • promoter
  • hypomethylation

Introduction

The development of cancer involves altered expression of many genes during tumor formation and progression as a result of both genetic and epigenetic changes in the genome (1, 2). The identification of genes that contribute to cancer outcome and progression is critical for the development of appropriate therapy. Accumulating evidence shows that flap endonuclease 1 (FEN1) plays a pivotal role in the development of cancer and up-regulation of FEN1 may be correlated with disease progression (3-5).

FEN1 is a structure-specific nuclease that is best known for its involvement in the maturation of Okazaki fragments during DNA replication and its efficient removal of 5′-flaps during long-patch base excision repair (6-11). In addition to its 5′-flap endonuclease activity, FEN1 is also characterized as a 5′ exonuclease (EXO activity; refs. 6, 12) and a gap-dependent endonuclease (GEN activity; refs. 13, 14). In response to apoptotic stimuli, the GEN and EXO activities of FEN1 can be stimulated to promote apoptosis-induced DNA fragmentation. Considering its critical role in multiple DNA metabolic pathways, FEN1 is a key enzyme for maintaining genomic stability (15) and its deficiency results in predisposition to cancer (4) and rapid development of tumors (3).

FEN1 is widely expressed in mammalian cells and shows a high level of expression in testes, thymus, bone marrow, and other highly proliferative tissues, in keeping with its role in DNA replication (16). In mouse embryonic fibroblasts, FEN1 was shown to be up-regulated in a p53-dependent manner on UV-C exposure (17). In addition, FEN1 protein is associated with proliferative cell populations (18-20). Its expression is up-regulated in metastatic prostate cancer cells (21), gastric cancer cells (22), neuroblastomas (23), pancreatic cancer (24), and lung cancer cell lines (25). FEN1 is also highly expressed in comprehensive genome-wide tumor microarray data sets for cell cycle–regulated genes (26). Recently, Lam et al. (5) showed that FEN1 is up-regulated in prostate cancer compared with matched normal prostate and its expression increases with tumor progression, suggesting that FEN1 is a possible biomarker for patients at high risk for prostate cancer and a potential target for therapy.

To reevaluate the expression of FEN1 in various cancers and to understand the mechanism underlying such transcriptional activation, we did a comprehensive analysis of FEN1 expression in multiple cancers, and particularly in breast tissues, using a cancer profiling array that included paired normal/tumor specimens and in vivo immunohistochemistry in a breast progression cancer tissue array. We found that the nuclease gene was significantly overexpressed in cancer cells. We also tested whether DNA methylation plays a role in the regulation of FEN1 expression, and identified a region of the FEN1 promoter that was hypomethylated in the same cancer cells in which we observed gene overexpression.

Results

Expression of FEN1 in Tumor versus Normal Tissues

A cancer profiling array was used to examine FEN1 expression in matched tumor tissues versus normal tissues. A general trend of FEN1 overexpression was observed in all cancers examined (Supplementary Table S3; Fig. 1A and B ), except for in prostate cancer, where the difference was not statistically significant. An approximately 2.5-fold consistent increase in expression was found in breast and uterine cancer samples, whereas a 1- to 2-fold increase was found in other tumors, including colon, stomach, lung, and kidney. In cases where metastatic samples were included, FEN1 expression was significantly greater in the metastatic tissues compared with the paired tumor tissues. This trend was observed in samples of breast, uterine, rectal, ovarian, and colon cancers.

FIGURE 1.
FIGURE 1.

Expression of FEN1 in matched normal and tumor tissues. A. Cancer Profiling Array I contains cDNA samples from 241 paired human tumors (T) and normal (N) tissue from individual patients. The boxed samples represent normal, tumor, and metastatic samples from the same individual. The array was hybridized with a 32P-labeled cDNA probe for FEN1. B. The data from the Cancer Profiling Array I were quantified using ImageQuant software. Columns, mean volumes; bars, SE. *, statistically significant difference between the matched normal (white columns) and tumor tissues (gray columns) as determined by two-way paired t tests (P ≤ 0.05). A statistically significant greater amount of FEN1 expression was found in breast tumor tissue (∼2.4-fold, P < 0.0001, n = 50), uterine tumor tissue (∼2.3-fold, P = 0.0006, n = 42), colon tumor tissue (∼1.5-fold, P < 0.0001, n = 35), stomach tumor tissue (∼1.5-fold, P = 0.0005, n = 28), lung tumor tissue (∼1.9-fold, P = 0.0066, n = 21), and kidney tumor tissue (∼2.3-fold, P = 0.0063, n = 20) compared with matched normal tissues. C. Expression of FEN1 in 50 matched samples of normal breast and tumor tissue. Of all 50 cases, 47 cases exhibited greater FEN1 expression in tumor tissue compared with the matched normal tissue. Three of the 50 cases had a matched metastatic sample (cases 39, 40, and 41), and the level of FEN1 expression in only one of them was greater than in the matched tumor tissue.

Of the 50 cases of breast tissues examined, 47 cases (94%) showed greater FEN1 expression than the matched normal tissues (Table 1 ; Fig. 1C). In three breast cancer cases with matched metastatic samples, FEN1 expression was higher in one metastatic tissue compared with the tumor tissues. The observed overexpression of FEN1 in tumor samples from the cancer profiling array supports the hypothesis that increased expression of FEN1 may be associated with tumorigenesis. This is consistent with several other studies showing FEN1 overexpression in various cancer tissues (5, 21, 22). The integrity of the samples on the array was confirmed by reprobing the array with a radiolabeled ubiquitin cDNA (data not shown). The FEN1 cDNA did not hybridize with yeast total RNA, yeast tRNA, Escherichia coli RNA, E. coli DNA, poly(rA), and Cot-1DNA.

View this table:
Table 1.

Clinical Information and Fold Change in FEN1 Expression in the 50 Cases of Matched Normal and Breast Tumor Tissue

FEN1 Expression at Different Stages of Breast Cancer

Immunohistochemical assessment of a breast cancer progression array showed that FEN1 was expressed in nuclei, with occasional cytoplasmic staining (Fig. 2 ). We did not detect FEN1 in three normal breast tissues (Table 2 ); however, its expression was variable in tissues from different kinds of benign breast lesion. In the 21 samples, including adenosis, fibrofatty tissue, fibroadenosis, adenosis with ductal hyperplasia, and cystic hyperplasia, there was very low or no FEN1 immunohistochemical staining. The 11 samples with blunt duct adenosis, fibroadenosis with ductal hyperplasia, sclerosing adenosis, papillomatosis, or papillomatosis with ductal hyperplasia were positive for FEN1 expression. Moreover, in infiltrating ductal carcinoma, FEN1 expression increased with corresponding disease stages and was highest in poorly differentiated infiltrating duct carcinoma stage III. Among other three kinds of breast carcinomas, there was greater FEN1 expression in infiltrating lobular carcinoma than in medullary or mucous carcinoma. These findings suggest that the amount of FEN1 expression is directly correlated with the higher stages and grades of breast tumors.

FIGURE 2.
FIGURE 2.

Immunohistochemical analysis of a breast cancer progression array using anti-FEN1 antibody. A. Normal. B. Benign breast tissue with adenosis. C. Breast tissue with ductal carcinoma in situ. D. Breast tissue with poorly differentiated carcinoma. E. Breast tissue with poorly differentiated carcinoma. Reduced from ×10 (A-E) and ×40 (insets).

View this table:
Table 2.

Immunohistochemical Analysis of a Breast Cancer Progression Tissue Array

A −458 to +278 bp Sequence Contributes to the Basal FEN1 Promoter Activity

To determine the location of the FEN1 promoter, we studied the transcriptional activity of chimeric constructs of progressively 5′-deleted DNA fragments (−1,821/+632). The various deletion fragments were cloned into a firefly luciferase-based reporter vector, pGL4.10, and subsequently cotransfected with a Renilla-based reporter vector into HeLa cells to quantify the strength of the reporter activities driven by different deletion fragments (Fig. 3 ). The empty pGL4.10 vector directed 0.46 ± 0.23 relative light unit (RLU) of luciferase activity in HeLa cells. No significant transcriptional activity was detected with the −1,821/+632 and +352/+2,262 fragments (3.31 ± 0.32 RLU and 0.12 ± 0.02 RLU, respectively). The 5′ deletions of −1,821/+632 fragment (1.5 ± 0.35 RLU), that is, −1,191/+632, −701/+632, −421/+632, and −281/+632, resulted in 5.7 ± 0.75, 5.8 ± 0.28, 3.5 ± 0.14, and 10.7 ± 1.05 RLU of luciferase activity, respectively. However, the maximum activity was shown by the −458/+278 fragment (32.54 ± 3.81 RLU). The −458/+278 fragment is the minimum promoter to drive expression of the mouse FEN1 (27), which suggests that the homologous fragment is also the minimum promoter to drive human FEN1 expression.

FIGURE 3.
FIGURE 3.

A −458 and +278 fragment confers basal activity of the FEN1 promoter. The transcriptional start site (+1), exon 1, intron 1, and exon 2 of the FEN1 gene are shown. On the left, below the gene diagram, the various 5′ or 3′ deletion constructs and their 5′ and 3′ positions with respect to the transcriptional start site are depicted. On the right, below the gene diagram, the normalized luciferase activity of the constructs is given. Fold increases were measured by defining the activity of the empty pGL4.10 vector as 1. Columns, mean fold increases from three independent transfection experiments, each done in duplicate; bars, SE.

FEN1 Methylation Analysis

The mechanism responsible for the regulation of FEN1 expression is largely unknown. In silico analysis indicated that there are two CpG islands in the FEN1 promoter (Fig. 4A ). To elucidate the methylation status of the CpGs in these islands, we did bisulfite sequencing on samples from six paired breast cancer and normal tissues. We detected methylated DNA only in CpG island 2 in normal breast tissues (Fig. 4B). In contrast, breast tumors showed no methylation of either CpG island. Furthermore, we analyzed endogenous FEN1 expression by real-time reverse transcription-PCR in the same six paired breast cancer and normal tissues (Fig. 4C). FEN1 mRNA was expressed at different levels in the specimens tested, and there was a good correlation with the observation that FEN1 is significantly up-regulated in tumors. These results suggest that hypomethylation of the FEN1 promoter in tumors is associated with increased expression of FEN1.

FIGURE 4.
FIGURE 4.

FEN1 promoter methylation analysis and mRNA expression in paired breast cancer tissues. A. CpG islands within the FEN1 promoter were analyzed by MethPrimer. Two CpG islands, CpG islands 1 and 2, were detected. CpG islands 1 and 2 are within the characterized promoter −458 to +278 bp region. B. Sodium bisulfite sequencing analysis of the FEN1 promoter in paired normal and tumor tissues from patients with breast cancer. Six pairs of matched normal and tumor samples were sequenced. The methylation levels of each CpG dinucleotide located in CpG islands 1 and 2 are indicated. C. Columns, mean levels of FEN1 mRNA expression in six normal and matched breast cancer tissues normalized to β-actin; bars, SE. *, P < 0.05; **, P < 0.01.

Discussion

As a multifunctional nuclease, FEN1 is involved in DNA replication, repair, and apoptosis. Although it is up-regulated in multiple types of cancer (21-25), it is unclear whether FEN1 expression is also increased in breast and other major cancers. Therefore, we investigated its mRNA abundance in matched tumor and normal samples using a cDNA array. Consistent with previous observations, FEN1 was overexpressed in 178 tumor cases compared with normal tissues in all 236 primary tumor samples (75.42%) examined. However, we did not detect up-regulation of FEN1 in prostate cancer, which may be due to the small sample size (only four cases). FEN1 expression has been reported to be induced for DNA replication during cell proliferation (20). Thus, increased expression of FEN1 may reflect the increased proliferation rate of cancer cells. Moreover, when cancer cells are exposed to DNA alkylating agents, some cells can adapt to these exposures by increasing the expression of DNA polymerase β, a core enzyme in the base excision repair pathway (28). Because FEN1 is involved in the BER pathway, increased expression of FEN1 may also be a response to increased DNA damage in cancer cells. Interestingly, we found that, in female cancers, not only the ratio of samples with FEN1 overexpression was the highest (86.92%) but also the amount of FEN1 overexpression. It has been reported that FEN1 could interact directly with estrogen receptor-α, enhance the interaction of estrogen receptor-α with estrogen response element–containing DNA, and influence estrogen-responsive gene expression (29, 30). Conversely, FEN1 expression can also be regulated by estrogen in the uterus (31). These findings suggest that FEN1 overexpression may be precisely regulated by hormones in female cancers.

In this study, we found greater FEN1 RNA expression in breast cancer than in other cancer types. Based on this observation, we analyzed endogenous FEN1 protein expression by immunohistochemical staining in a breast cancer progression tissue array. Consistent with the RNA expression results, FEN1 was up-regulated in tissues from benign breast diseases with atypical hyperplasia and several kinds of breast cancer tissues. It has been shown that atypical hyperplasia has a relative risk of 4.24, proliferative disease without atypia has a relative risk of 1.88, and nonproliferative lesions have a relative risk of 1.27 (32). Interestingly, our results also show that FEN1 expression increases with an increase in relative cancer risk in benign breast disease tissues. Moreover, in agreement with previous studies that examined the role of FEN1 expression in prostate cancer (5), we found that increased FEN1 expression was associated with tumor dedifferentiation in infiltrating ductal carcinoma. These results suggest that FEN1 might be a potential tumor marker for selecting patients at high risk of progression.

To determine the underlying mechanism of the differential transcriptional regulation of FEN1 between tumor and normal tissues, we investigated the possibility of epigenetic regulation of FEN1 expression via methylation. We found that overexpression of FEN1 was associated with hypomethylation within CpG island 2 of the FEN1 promoter in breast cancer. Genome-wide hypomethylation and regional hypermethylation of certain genes have been observed in several human cancers, including breast cancer (33, 34). The former may lead to activation of genes such as oncogenes and expression of provirus sequences; the latter may result in gene silencing of tumor suppressor genes (35). Therefore, it has been proposed that hypomethylation and hypermethylation in cancer are independent processes, which target different programs at different stages in tumorigenesis (36). Accumulating data have led to the hypothesis that hypomethylation plays a role in activating certain genes required for cancer progression and metastasis of breast cancer (37, 38). In agreement with these studies, we also examined the role of aberrant DNA hypomethylation in FEN1 gene expression in breast cancer progression.

In conclusion, our results suggest that FEN1 promoter hypomethylation may contribute to its overexpression in poorly differentiated carcinomas. To the best of our knowledge, this is the first study to show how methylation of FEN1 promoter region affects gene expression in breast cancer. Furthermore, the elevated expression of FEN1 may serve as a useful molecular marker for predicting prognosis and as a target for therapy.

Materials and Methods

Cancer Profiling Array I

To compare the expression of FEN1 in human tumors and corresponding normal tissues, we used the Cancer Profiling Array I (BD Biosciences Clontech, Inc.). This array includes normalized cDNAs from tumors of 241 individual patients and corresponding normal tissues, including breast, uterus, ovary, cervix, lung, kidney, stomach, colon, rectum, small intestine, pancreas, and prostate, as well as 12 cDNAs from metastases corresponding to 12 of the tumor/normal pairs. 32P-labeled cDNA probes were synthesized from human FEN1 or ubiquitin control cDNA using a random primer-labeling kit (New England Biolabs) followed by probe purification on CHROMA SPIN+STE-100 columns (Clontech). The FEN1 fragment corresponding to 463 to 734 bp was used to probe the filter. Hybridization of the Cancer Profiling Array I with FEN1 probes and washing of the array were done according to the manufacturer's recommendations (Clontech). The hybridized arrays were then exposed to phosphorimaging screen, scanned with a Typhoon Phosphorimager, and analyzed using ImageQuant 1.2 software (Amersham Biosciences). The array was then stripped and hybridized with the human ubiquitin cDNA probe to confirm the integrity of the samples on the array. Statistical analysis of the cancer profiling array was done using GraphPad Prism 2.01 software and two-tailed paired t test (P ≤ 0.05).

Immunohistology

For in situ and in vivo FEN1 expression analysis, a breast carcinoma progression array (Cybrdi) was used. Immunohistochemical staining was done using a monoclonal anti-FEN1 antibody (NCL-Fen-1; Novocastra) according to the manufacturer's instructions. Staining was semiquantitatively assessed by the pathologist at the City of Hope Pathology Core Facility, and two criteria of FEN1 expression were scored: the intensity on a 0 to 3 scale (0, negative; 1, weakly positive; 2, moderately positive; 3, strongly positive) and the percentage of positively stained target cells (0, no cells; 1, <10% of the cells; 2, 11-50% of the cells; 3, 51-80% of the cells; 4, >80% of the cells). Finally, a composite score was obtained by multiplying the values of the mean staining intensity and the percentage of FEN1-positive cells (0-1, negative; 1-2, weakly positive; 2-3, moderately positive; ≥3, strongly positive).

Promoter Reporter Constructs

Specific primer pairs (Supplementary Table S1) with SacI and NheI restriction sites were used to amplify multiple deletion fragments spanning 5′ flanking region of FEN1 (from −1,821 to +2,662 bp, relative to the transcription start site) from human genomic DNA (Clontech) using Hot Start Taq (Qiagen). The PCR products were then digested with SacI and NheI (New England Biolabs) and ligated into an appropriately digested pGL4.10 vector (Promega) containing the firefly luciferase gene as a reporter. The constructs were designated as pGL4-FP1 to pGL4-FP9 (Supplementary Table S1). Restriction analysis and complete DNA sequencing confirmed the orientation and integrity of the inserts.

Transient Transfection and Luciferase Assays

Transient transfection of HeLa cells was done using Lipofectamine (Invitrogen). Cultured cells were cotransfected with 1 μg of one promoter construct and 0.1 μg of pGL4.74 (hRluc/TK) vector, a Renilla luciferase control reporter vector (Promega) that was used as an internal control to normalize the activities of the experimental reporters. After transfection in serum-free medium, the cells were allowed to recover in serum-containing medium. The cells were lysed 48 h after transfection and assayed for promoter activity using the Dual-Luciferase Reporter Assay System (Promega). The luciferase activity was measured using a Fluoroskan Ascent FL luminometer (Thermo Electron Corp.). Luciferase values (RLUs) were calculated by dividing the firefly luciferase activity by the Renilla luciferase activity. The assay was conducted thrice in duplicates.

Tumor Specimens

DNA methylation analysis and RNA preparation were done on six paired specimens of breast tumors and corresponding normal tissues selected from the archives of Cancer Hospital, China. Histopathologic diagnosis of the tumors was done according to the WHO classification (Supplementary Table S2). Patients with metastasized cancer from other organs were excluded. This study was approved by the institutional review board of the Cancer Institute and Hospital, Chinese Academy of Medical Sciences (Beijing, China).

Methylation Analysis

The 5′ flanking region, exon 1, and the intron of human FEN1 were analyzed by MethPrimer software.5 Two CpG islands, CpG1-297 bp and 24 CpG dinucleotides and CpG2-399 bp and 37 CpG dinucleotides, were detected. Paired normal and breast cancer genomic DNA samples were modified by bisulfite reaction using the EZ DNA Methylation kit (Zymo Research). Up to 2 μg of genomic DNA were used for conversion with the bisulfite reagent. Approximately 80 ng of bisulfite-converted DNA were used as a template for each PCR analysis. Primers for bisulfite sequencing were designed using the MethPrimer software. The primer pairs 5′-AGTTGAGAAATTTAAGGAGT-3′ (CpG-1F) and 5′-CTCCAAAAAAAACAAAATCT-3′ (CpG-1R) and 5′-GAGGGATTGGTTGTTATGAGAGTAG-3′ (CpG-2F) and 5′-ACCCCATAAAATAAAACTTATTACC-3′ (CpG-2R) were used to amplify the target CpG islands with Hot Start Taq polymerase. The amplified fragments were cloned into the pSC-A vector (Stratagene). Individual clones were sequenced and compared with the original sequence to calculate the percentage of methylation.

Quantitative Real-time PCR

Total RNA was isolated from paired tissues and converted to cDNA using an oligo(dT)15 primer and SuperScript II (Invitrogen). Quantitation of relative gene expression for FEN1 and β-actin as an internal reference gene was carried out using the ABI Prism 7300 sequence detection system (Applied Biosystems) in triplicates based on the SYBR Green method. The primers used for FEN1 were 5′-CTGTGGACCTCATCCAGAAGCA-3′ and 5′-CCAGCACCTCAGGTTCCAAGA-3′ and for β-actin were 5′-GGCGGCACCACCATGTACCCT-3′ and 5′-AGGGGCCGGACTCGTCATACT-3′. The PCR specificity was confirmed by dissociation curve analysis and gel electrophoresis. The expression of individual FEN1 measurements was calculated relative to expression of β-actin using a modification of the method described by Lehmann and Kreipe (39).

Disclosure of Potential Conflicts of Interest

No potential conflicts of interest were disclosed.

Footnotes

  • ↵5 http://www.urogene.org/methprimer/index1.html

  • Grant support: NIH grant CA073764 (B. Shen) and State Key Basic Research Program grant 2004CB518701 (D. Lin).

  • The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

  • Note: Supplementary data for this article are available at Molecular Cancer Research Online (http://mcr.aacrjournals.org/).

  • P. Singh and M. Yang are joint first authors.

    • Accepted August 8, 2008.
    • Received June 8, 2008.
    • Revision received August 5, 2008.

References

  1. ↵
    Knudson AG. Cancer genetics. Am J Med Genet 2002;111:96–102.
    OpenUrlCrossRefPubMed
  2. ↵
    Esteller M. Epigenetics in cancer. N Engl J Med 2008;358:1148–59.
    OpenUrlCrossRefPubMed
  3. ↵
    Kucherlapati M, Yang K, Kuraguchi M, et al. Haploinsufficiency of Flap endonuclease (Fen1) leads to rapid tumor progression. Proc Natl Acad Sci U S A 2002;99:9924–9.
    OpenUrlAbstract/FREE Full Text
  4. ↵
    Zheng L, Dai H, Zhou M, et al. Fen1 mutations result in autoimmunity, chronic inflammation and cancers. Nat Med 2007;13:812–9.
    OpenUrlCrossRefPubMed
  5. ↵
    Lam JS, Seligson DB, Yu H, et al. Flap endonuclease 1 is overexpressed in prostate cancer and is associated with a high Gleason score. BJU Int 2006;98:445–51.
    OpenUrlCrossRefPubMed
  6. ↵
    Harrington JJ, Lieber MR. The characterization of a mammalian DNA structure-specific endonuclease. EMBO J 1994;13:1235–46.
    OpenUrlPubMed
  7. Harrington JJ, Lieber MR. Functional domains within FEN-1 and RAD2 define a family of structure-specific endonucleases: implications for nucleotide excision repair. Genes Dev 1994;8:1344–55.
    OpenUrlAbstract/FREE Full Text
  8. Turchi JJ, Huang L, Murante RS, Kim Y, Bambara RA. Enzymatic completion of mammalian lagging-strand DNA replication. Proc Natl Acad Sci U S A 1994;91:9803–7.
    OpenUrlAbstract/FREE Full Text
  9. Waga S, Stillman B. Anatomy of a DNA replication fork revealed by reconstitution of SV40 DNA replication in vitro. Nature 1994;369:207–12.
    OpenUrlCrossRefPubMed
  10. Lieber MR. The FEN-1 family of structure-specific nucleases in eukaryotic DNA replication, recombination and repair. Bioessays 1997;19:233–40.
    OpenUrlCrossRefPubMed
  11. ↵
    Shen B, Singh P, Liu R, et al. Multiple but dissectible functions of FEN-1 nucleases in nucleic acid processing, genome stability and diseases. Bioessays 2005;27:717–29.
    OpenUrlCrossRefPubMed
  12. ↵
    Lindahl T. The action pattern of mammalian deoxyribonuclease IV. Eur J Biochem 1971;18:415–21.
    OpenUrlPubMed
  13. ↵
    Parrish JZ, Yang C, Shen B, Xue D. CRN-1, a Caenorhabditis elegans FEN-1 homologue, cooperates with CPS-6/EndoG to promote apoptotic DNA degradation. EMBO J 2003;22:3451–60.
    OpenUrlAbstract
  14. ↵
    Zheng L, Zhou M, Chai Q, et al. Novel function of the flap endonuclease 1 complex in processing stalled DNA replication forks. EMBO Rep 2005;6:83–9.
    OpenUrlCrossRefPubMed
  15. ↵
    Singh P, Zheng L, Chavez V, Qiu J, Shen B. Concerted action of exonuclease and Gap-dependent endonuclease activities of FEN-1 contributes to the resolution of triplet repeat sequences (CTG)n- and (GAA)n-derived secondary structures formed during maturation of Okazaki fragments. J Biol Chem 2007;282:3465–77.
    OpenUrlAbstract/FREE Full Text
  16. ↵
    Otto CJ, Almqvist E, Hayden MR, Andrew SE. The “flap” endonuclease gene FEN1 is excluded as a candidate gene implicated in the CAG repeat expansion underlying Huntington disease. Clin Genet 2001;59:122–7.
    OpenUrlCrossRefPubMed
  17. ↵
    Christmann M, Tomicic MT, Origer J, Kaina B. Fen1 is induced p53 dependently and involved in the recovery from UV-light-induced replication inhibition. Oncogene 2005;24:8304–13.
    OpenUrlCrossRefPubMed
  18. ↵
    Warbrick E, Coates PJ, Hall PA. Fen1 expression: a novel marker for cell proliferation. J Pathol 1998;186:319–24.
    OpenUrlCrossRefPubMed
  19. Kim IS. Down-regulation of human FEN-1 gene expression during differentiation of promyelocytic leukemia cells. Exp Mol Med 1998;30:252–6.
    OpenUrlPubMed
  20. ↵
    Kim IS, Lee MY, Lee IH, Shin SL, Lee SY. Gene expression of flap endonuclease-1 during cell proliferation and differentiation. Biochim Biophys Acta 2000;1496:333–40.
    OpenUrlPubMed
  21. ↵
    LaTulippe E, Satagopan J, Smith A, et al. Comprehensive gene expression analysis of prostate cancer reveals distinct transcriptional programs associated with metastatic disease. Cancer Res 2002;62:4499–506.
    OpenUrlAbstract/FREE Full Text
  22. ↵
    Kim JM, Sohn HY, Yoon SY, et al. Identification of gastric cancer-related genes using a cDNA microarray containing novel expressed sequence tags expressed in gastric cancer cells. Clin Cancer Res 2005;11:473–82.
    OpenUrlAbstract/FREE Full Text
  23. ↵
    Krause A, Combaret V, Iacono I, et al. Genome-wide analysis of gene expression in neuroblastomas detected by mass screening. Cancer Lett 2005;225:111–20.
    OpenUrlCrossRefPubMed
  24. ↵
    Iacobuzio-Donahue CA, Maitra A, Olsen M, et al. Exploration of global gene expression patterns in pancreatic adenocarcinoma using cDNA microarrays. Am J Pathol 2003;162:1151–62.
    OpenUrlCrossRefPubMed
  25. ↵
    Sato M, Girard L, Sekine I, et al. Increased expression and no mutation of the Flap endonuclease (FEN1) gene in human lung cancer. Oncogene 2003;22:7243–6.
    OpenUrlCrossRefPubMed
  26. ↵
    Whitfield ML, Sherlock G, Saldanha AJ, et al. Identification of genes periodically expressed in the human cell cycle and their expression in tumors. Mol Biol Cell 2002;13:1977–2000.
    OpenUrlAbstract/FREE Full Text
  27. ↵
    Emoto M, Miki M, Sarker AH, et al. Structure and transcription promoter activity of mouse flap endonuclease 1 gene: alternative splicing and bidirectional promoter. Gene 2005;357:47–54.
    OpenUrlCrossRefPubMed
  28. ↵
    Chen KH, Yakes FM, Srivastava DK, et al. Up-regulation of base excision repair correlates with enhanced protection against a DNA damaging agent in mouse cell lines. Nucleic Acids Res 1998;26:2001–7.
    OpenUrlAbstract/FREE Full Text
  29. ↵
    Moggs JG, Murphy TC, Lim FL, et al. Anti-proliferative effect of estrogen in breast cancer cells that re-express ERα is mediated by aberrant regulation of cell cycle genes. J Mol Endocrinol 2005;34:535–51.
    OpenUrlAbstract/FREE Full Text
  30. ↵
    Buterin T, Koch C, Naegeli H. Convergent transcriptional profiles induced by endogenous estrogen and distinct xenoestrogens in breast cancer cells. Carcinogenesis 2006;27:1567–78.
    OpenUrlAbstract/FREE Full Text
  31. ↵
    Schultz-Norton JR, Walt KA, Ziegler YS, et al. The deoxyribonucleic acid repair protein flap endonuclease-1 modulates estrogen-responsive gene expression. Mol Endocrinol 2007;21:1569–80.
    OpenUrlCrossRefPubMed
  32. ↵
    Hartmann LC, Sellers TA, Frost MH, et al. Benign breast disease and the risk of breast cancer. N Engl J Med 2005;353:229–37.
    OpenUrlCrossRefPubMed
  33. ↵
    Bernardino J, Roux C, Almeida A, et al. DNA hypomethylation in breast cancer: an independent parameter of tumor progression? Cancer Genet Cytogenet 1997;97:83–9.
    OpenUrlCrossRefPubMed
  34. ↵
    Das PM, Singal R. DNA methylation and cancer. J Clin Oncol 2004;22:4632–42.
    OpenUrlAbstract/FREE Full Text
  35. ↵
    Baylin SB, Makos M, Wu JJ, et al. Abnormal patterns of DNA methylation in human neoplasia: potential consequences for tumor progression. Cancer Cell 1991;3:383–90.
    OpenUrl
  36. ↵
    Szyf M, Pakneshan P, Rabbani SA. DNA demethylation and cancer: therapeutic implications. Cancer Lett 2004;211:133–43.
    OpenUrlCrossRefPubMed
  37. ↵
    Pakneshan P, Szyf M, Farias-Eisner R, Rabbani SA. Reversal of the hypomethylation status of urokinase (uPA) promoter blocks breast cancer growth and metastasis. J Biol Chem 2004;279:31735–44.
    OpenUrlAbstract/FREE Full Text
  38. ↵
    Pakneshan P, Szyf M, Rabbani SA. Hypomethylation of urokinase (uPA) promoter in breast and prostate cancer: prognostic and therapeutic implications. Curr Cancer Drug Targets 2005;5:471–88.
    OpenUrlCrossRefPubMed
  39. ↵
    Lehmann U, Kreipe H. Real-time PCR analysis of DNA and RNA extracted from formalin-fixed and paraffin-embedded biopsies. Methods 2001;25:409–18.
    OpenUrlCrossRefPubMed
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Molecular Cancer Research: 6 (11)
November 2008
Volume 6, Issue 11

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Overexpression and Hypomethylation of Flap Endonuclease 1 Gene in Breast and Other Cancers
Purnima Singh, Ming Yang, Huifang Dai, Dianke Yu, Qin Huang, Wen Tan, Kemp H. Kernstine, Dongxin Lin and Binghui Shen
Mol Cancer Res November 1 2008 (6) (11) 1710-1717; DOI: 10.1158/1541-7786.MCR-08-0269
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