Skip to main content
Download PDF
  • Research article
  • Open access
  • Published:

Immunohistochemical determination of the miR-1290 target arylamine N-acetyltransferase 1 (NAT1) as a prognostic biomarker in breast cancer

BMC Cancer volume 14, Article number: 990 (2014) Cite this article

Abstract

Background

There are many molecular differences between estrogen receptor α (ERα)-positive and ER-negative breast cancers. Recent analyses have shown that the former can be divided into two subtypes, luminal A and luminal B. These differ in response to endocrine therapy and chemotherapy, and in prognosis. In a previous study, we found that microRNA (miR)-1290 that was significantly down-regulated in luminal A tumors and its potential target arylamine N-acetyltransferase 1 (NAT1). The aim of the present study was to determine whether NAT1 is a bona fide target of miR-1290, and to investigate the impact of NAT1 on breast cancer prognosis.

Methods

Luciferase reporter assays were employed to validate NAT1 as a putative miR-1290 target gene. Expression of NAT1, ERα, progesterone receptor (PgR) and HER2 was analyzed in 394 breast cancer samples by immunohistochemistry.

Results

NAT1 was confirmed to be a direct target of miR-1290. Levels of expression of NAT1 were positively correlated with those of ERα (P < 0.0001) and PgR (P < 0.0001), but negatively correlated with both tumor grade and size (P < 0.0001). Kaplan-Meier analysis showed that the presence of NAT1 was significantly associated with increased overall survival (OS) (P = 0.0416) in these patients. Similarly, significant associations of NAT1 with disease-free survival (DFS) (P = 0.0048) and OS (P = 0.0055) in those patients who received adjuvant endocrine therapy with tamoxifen (n = 176) were found. Moreover, NAT1 was also significantly associated with increased DFS (P = 0.0025) and OS (P = 0.0007) in the subset of lymph node-positive patients (n = 147). Univariate and multivariate analyses showed significant associations between levels of NAT1 and DFS (P = 0.0005 and 0.019, respectively).

Conclusions

We report that miR-1290 directly targets the NAT1 3′-UTR and that NAT1 protein expression is correlated with improved OS of breast cancer patients. NAT1 is a possible prognostic biomarker for lymph node-positive breast cancer. Thus, miR-1290 and its target NAT1 are associated with important characteristics of breast cancer.

Peer Review reports

Background

Breast cancers represent a heterogeneous group of tumors that are diverse in behavior, outcome, and sensitivity to therapy. Emerging data demonstrate that stratification of tumors by gene expression profiles can divide breast cancer into five main subtypes which are associated with different clinical outcomes. Two of these are estrogen receptor (ER)-positive (luminal A and luminal B) and three are ER-negative (basal-like, HER2 positive, normal breast-like) [1, 2].

Blenkiron and colleagues analyzed microRNA (miRNA) expression in human breast cancer, and reported that many miRNAs were differentially expressed between breast cancer subtypes including luminal A and luminal B. They also reported an association between miRNA expression profiling and clinicopathological factors such as ERα status and tumor grade [3]. miRNAs are a class of naturally occurring small non-coding RNAs that control gene expression by targeting mRNAs for translational repression or cleavage [4]. Mature miRNAs recognize sites in the 3′-untranslated regions (UTR) of the target mRNAs and cause mRNA degradation or translational repression. miRNAs have been characterized as oncogenic, tumor suppressors or as components of regulatory pathways critical for tumorigenesis [4, 5].

In our previous study, we reported a miRNA, miR-1290, potentially differentiating between luminal A and luminal B/HER2-negative tumors. We compared expression profiles of miRNAs and mRNAs from ERhigh Ki67low and ERlow Ki67high tumors, which are considered typically luminal A and luminal B/HER2-negative, respectively. We also found 4 potential target genes (FOXA1, arylamine N-acetyltransferase 1 (NAT1), BCL2 and MAPT) of miR-1290 [6]. Transfection experiments revealed that transfection of ER-positive breast cancer cells with miRNA-1290 resulted in decreased expression of NAT1 and FOXA1 mRNA but not the other two potential target genes. Moreover, Western blot analysis showed that miR-1290 induced a dose-dependent decrease in NAT1 protein expression. Of these potential target genes, NAT1 is the most promising target of miR-1290 [6].

Arylamine N-acetyltransferases (NATs) are present in many species. NATs are cytosolic conjugating enzymes which transfer an acetyl group from acetylCoenzyme A to a xenobiotic acceptor substrate. Human NATs were originally identified as drug-metabolizing enzymes [7–9]. Recent studies focused on their role in the activation and detoxification of environmental carcinogens and implicated human NATs in cancer and in development [7, 8, 10, 11]. The human NAT gene products NAT1 and NAT2 have distinct substrate specificities: NAT2 acetylates hydralazine and NAT1 acetyates p-aminosalicylate (p-AS) and the folate catabolite p-aminobenzoylglutamate (p-abaglu). Human NAT2 is mainly present in liver and gut, whereas human NAT1 and its murine homologue are present in many adult tissues and in early embryos [12]. NAT1 is one of the most highly overexpressed genes in ER-positive relative to ER-negative breast tumors [1, 12, 13]. Moreover, NAT1 is one of a cluster of genes including the highly expressed ER in luminal A tumors [2].

The aim of the present study was to clarify whether NAT1 is a bona fide target of miR-1290 and to investigate the impact of NAT1 expression on breast cancer prognosis.

Methods

Cell culture and transfections

COS-7 cells (American Type Culture Collection; ATCC) were grown in RPMI 1640 containing 10% fetal bovine serum (FBS), 2 mmol/L L-glutamine and penicillin-streptomycin (50 IU/mL and 50 mg/mL, respectively), at 37°C with 5% CO2. Transfections of pre-miR-1290 precursor (hsa-miR-1290; Ambion Inc., Austin, USA) were performed with Cell Line Nucleofector kits (Amaxa Biosystems, Cologne, Germany) using a Nucleofector device (Amaxa Biosystems) according to the manufacturer’s instructions [14]. A nonspecific control miRNA (Pre-miR miRNA Negative Control #2; Ambion Inc.) was used as a negative control.

Dual-luciferase reporter assay

The region of human NAT1-3′UTR (bases 52478 to 53073) containing two putative miR-1290-binding sites, was amplified from MCF7 cells using the PCR primers listed in Additional file 1: Table S1, and cloned into the pMIR-report™ luciferase plasmid (Ambion, Austin TX); these were designated NAT1-wt. Three derivative constructs of NAT1-wt with mutations in the putative miR-1290-binding sites were generated using a QuikChange II XL Site-Directed Mutagenesis Kit (Agilent Technologies) and the primers listed in Additional file 1: Table S1, and were designated NAT1-mut1, -mut2, and -mut1 + 2. All of the constructs were verified by direct sequencing. Pre-miR-1290 precursor and a nonspecific control miRNA were co-transfected with 3 μg each of the reporter vector constructs and an internal control vector (pGL4.74, Promega) into COS-7 cells (1 × 106 cells) in a 24-well format. Luciferase activity was measured 24 hours later using a dual-luciferase reporter assay system (Promega) and a Lumat LB9507 luminometer (Berthold Technologies, Germany). The firefly luciferase activities of the reporter constructs were normalized against the renilla luciferase activities of the internal control vector. The degree of reduction of luciferase activity relative to the samples transfected with nonspecific control miRNA was taken as an index of the effect of the miR-1290 on the post-transcriptional regulation of the NAT1 gene.

Patients and breast cancer tissue

Breast tumor specimens from 394 female patients with invasive breast carcinoma who were treated at Nagoya City University Hospital between 1995 and 2009 were included in the study (Table 1). This protocol was approved by the Institutional Review Board of Nagoya City University Graduate School of Medical Sciences and conformed to the guidelines of the 1996 Declaration of Helsinki. Written informed consent for the use of the surgically-resected tumor tissues was provided by all patients prior to treatment. The samples were chosen from a continuous series of invasive carcinomas. All patients underwent surgical treatment (mastectomy or lumpectomy). Patients received appropriate adjuvant endocrine or chemotherapy for metastatic disease (Table 1).

Table 1 Clinicopathological characteristics of patients
Full size table

Immunohistochemistry (IHC)

Tissue microarrays were constructed using paraffin-embedded, formalin-fixed tissue from 394 breast cancer samples. Tissue array sections were immunostained with 4 commercially available antibodies using the Bond-Max Autostainer (Leica Microsystems, Newcastle, UK) and the associated Bond Refine Polymer Detection kit [15]. Primary antibodies included mouse monoclonal anti-human ERα antibody (1D5, Dako, Glostrup, Denmark) at 1:100 dilution, mouse monoclonal anti-human PgR antibody (636, Dako) at 1:100 dilution and rabbit polyclonal anti-human NAT1 antibody (ab92785, Abcam) at 1:100 dilution. The expression of ERα and PgR was scored by assigning proportion and intensity scores, according to Allred’s procedure [16]. In brief, a proportion score represented the number of tumor cells staining positive as follows: 0 (none), 1 (<1/100), 2 (1/100 to 1/10), 3 (1/10 to 1/3), 4 (1/3 to 2/3), and 5 (>2/3). Any brown nuclear staining in the breast epithelium was counted towards the proportion score. An intensity score represented the average intensity of the positive cells as follows: 0 (none), 1 (weak), 2 (intermediate), 3 (strong). The proportion and intensity scores were then added to obtain a total score ranging from 0 to 8. Staining status by IHC was then assessed as negative (scores 0, 2) or positive (scores 3–8) [17]. Immunostaining of HER2 was evaluated using the HercepTest (Dako). To determine the level of HER2 expression, the membrane staining pattern was estimated and scored on a scale of 0 to 3+. Tumors with a score of 2+ were tested for gene amplification by fluorescence in situ hybridization (FISH) using the PathVysion assay (Vysis, Abbott Laboratories, Abbott Park, IL). A ratio ≥2.0 for HER2 gene/chromosome 17 was considered positive. Tumors were considered HER2-positive if IHC staining was 3+ or they were FISH-positive [18]. NAT1 expression level was assessed as the percentage of stained tumor cells (Additional file 2: Figure S1). Tumors with at least one NAT1-positive tumor cell were considered to indicate the presence of this protein. The cutoff points for the expression levels of NAT1 were set at least one stained cell, which allowed us to obtain the most significant difference between patient groups in prognostic analyses.

Statistical analysis

Results are expressed as the mean ± S.E. Student’s t test was used to compare data between two groups. P values less than 0.05 were considered to be statistically significant. Estimation of disease-free survival and overall survival was performed using the Kaplan-Meier method, and differences between survival curves were assessed with the Wilcoxon test. Cox’s proportional hazards model was used for univariate and multivariate analyses of prognostic values. JMP SAS software (SAS Institute Japan) was used for data analysis.

Results

Mir-1290 targets the NAT13′-UTR directly

Two sites in the NAT1 3′-UTR were predicted to be potential target sites of miR-1290 according to miRanda (http://www.microrna.org/). To determine whether NAT1 is a direct target of miR-1290, we cloned its 3′-UTR into a pMIR-report™ luciferase plasmid to perform a reporter assay (Figure 1A). When miR-1290 precursor was transfected into the cells together with this reporter construct, luciferase activity was repressed relative to the nonspecific control miRNA (Figure 1B). Furthermore, we cloned each putative miR-1290-target site having multiple mutants in their sequences (Figure 1A) that corresponded to the “seed sequence” of miR-1290 into the pMIR-report plasmid and performed reporter assays (Figure 1C-E). When miR-1290 precursor was transfected into cells with the NAT1-mut1, luciferase activity was still repressed (Figure 1C), whereas this was no longer the case for NAT1-mut2 or –mut1 + 2 (Figure 1D, E). These results suggest that site 2 in the NAT1 3′-UTR is the putative target site of miR-1290.

Figure 1
figure 1

Identification of miR-1290 target sites in the NAT1 3′-UTR. A, Schematic of the 3′-UTR-containing reporter constructs for potential miR-1290 target sites in NAT1. The 3′-UTR of the NAT1 gene was inserted just downstream of the firefly luciferase gene in the pMIR-report luciferase plasmid (NAT1-wt). Next, the mutated derivatives (Nat1-mut1, -mut2 and –mut1 + 2) of NAT1-wt were generated by inserting mutations into two putative binding sites corresponding to the seed-sequence of miR-1290. B-E, Cells were transfected with either miR-1290 or nonspecific control miRNA (NC). Luciferase activity was assayed 24 hr later. The data are shown as luciferase activity relative to the vehicle (pGL4.74).

Full size image

Expression of NAT1 protein and its relationship with clinicopathological factors

The expression levels of NAT1 protein in breast cancer tissues was examined by immunohistochemistry (IHC). Levels of NAT1 were positively correlated with ERα (P < 0.0001) and PgR (P < 0.0001), but negatively correlated with tumor grade and size (P < 0.0001) (Table 2).

Table 2 Correlation between expression levels of NAT1 and clinicopathological fators (n = 394)
Full size table

The presence of NAT1 is correlated with improved overall survival

We next analyzed the correlation between the presence of NAT1 protein in breast cancer tissues and patient prognosis. Kaplan-Meier analysis of all 394 patients together showed that the presence of NAT1 was not strongly associated with disease-free or overall survival (OS), although the latter did show marginal significance (P = 0.0416) (Figure 2B). We then investigated the correlation between the presence of NAT1 and prognosis in ERα-positive patients (n = 363). We found no association between the presence of NAT1 and favorable disease-free survival (DFS) (P = 0.3461) and OS (P = 0.1319) (data not shown). However, Kaplan-Meier analysis showed that the presence of NAT1 was significantly associated with favorable DFS (P = 0.0048) and OS (P = 0.0055) in patients who received adjuvant endocrine therapy with tamoxifen (n = 176) (Figure 3A and B).

Figure 2
figure 2

Kaplan-Meier survival analyses of the 394 breast cancer patients. Disease-free survival (A) and overall survival (B) of the 394 breast cancer patients stratified according to the presence or absence of NAT1 protein.

Full size image
Figure 3
figure 3

Kaplan-Meier survival analyses of the patients who received adjuvant endocrine therapy with Tamoxifen. Disease-free survival (A) and overall survival (B) of the 176 patients who received adjuvant endocrine therapy with tamoxifen stratified according to expression of NAT1.

Full size image

NAT1 protein expression is prognostic for lymph node-positive breast cancer

We then analyzed NAT1 in tumors from lymph node-negative (n = 247) and lymph node-positive patients (n = 147). Kaplan-Meier analysis showed that the presence of NAT1 was significantly associated with favorable DFS (P = 0.0025) and OS (P = 0.0007) in lymph node-positive (Figure 4A and B), but not -negative patients (Additional file 3: Figure S2). Univariate analysis revealed significant associations between levels of expression of ERα (P = 0.0393), the levels of expression of NAT1 (P = 0.0005), tumor size (P = 0.0028), number of positive lymph nodes (P = 0.0006) and DFS. Furthermore, NAT1 (P = 0.019) and the number of positive lymph nodes (P = 0.0122) remained significant when assessed by multivariate analysis (Table 3). Univariate analysis indicated significant associations between levels of ERα (P = 0.0034), PgR (P = 0.0221), NAT1 (P = 0.0054), tumor size (P = 0.0188), number of positive lymph nodes (P = 0.0048) and OS. In multivariate analysis, only NAT1 tended to associate with favorable OS but this was not significant (P = 0.0925) (Table 4).

Figure 4
figure 4

Kaplan-Meier survival analyses of the lymph node-positive breast cancer patients. Disease-free survival (A) and overall survival (B) of the 147 lymph node-positive breast cancer patients stratified according to expression of NAT1.

Full size image
Table 3 Univariate and multivariate analysis of factors predicting disease free survival (LN+, n = 147)
Full size table
Table 4 Univariate and multivariate analysis of factors predicting overall survival (LN+, n = 147)
Full size table

Discussion

We focused on microRNAs and on two different subtypes of ER-positive breast cancer, and found that miR-1290 and its potential target NAT1 may be informative for patient survival. We demonstrated that miR-1290 directly down-regulates NAT1 expression. In addition, we found that breast cancer patients with tumors expressing NAT1 tended to have better overall survival than those whose tumors were NAT1-negative. Furthermore, in lymph node-positive patients, the presence of NAT1 was significantly associated with favorable DFS and OS.

Although there are two predicted miR-1290 target sites in the NAT1 3′-UTR, we found that only site 2 was the likely target site. The role of miR-1290 has not yet been analyzed, but it was reported as one of the differentially expressed miRNAs in various cancers, although not in breast cancer [19, 20]. Wu and colleagues reported that miR-1290 was significantly up-regulated in colon cancer tissues and that its up-regulation postponed cytokinesis and led to the formation of multinucleated cells. Moreover, they reported that the enforced expression of miR-1290 activated the Wnt pathway and increased the levels of reprogramming-related transcription factors c-Myc and Nanog [21]. Recently, Li and colleagues reported that serum miR-1290 levels distinguished patients with low-stage pancreatic cancer from healthy controls [22]. In a previous study, miR-1290 expression was strongly down-regulated in luminal A tumors and was positively correlated with tumor grade.

NATs are polymorphic drug-metabolizing enzymes [12]. There are two closely related genes on chromosome 8 that encode the two human NATs – NAT1 and NAT2 [7]. Human NAT1 and its murine homologue are present in many adult tissues including breast tissue, as well as in early embryos. Human NAT1 acetylates p-AS and the folate catabolite p-ABG [8, 12], and may contribute to folate and acetylCoA homeostasis. NAT1 is represented on most microarray chips, so interrogation of public databases has revealed changes in NAT1 mRNA levels associated with different cancers and cancer subtypes [7]. Regarding breast cancer, several independent studies showed that NAT1 expression clustered with expression of the estrogen receptor [1, 2]. The positive association of NAT1 and estrogen receptor was strengthened by Adam et al. who showed by immunohistochemistry that NAT1 protein levels were higher in estrogen receptor-positive than negative breast cancer tissue [23]. In agreement with these data, in the present study, we showed that expression of NAT1 was positively correlated with ERα (P < 0.0001).

We showed that NAT1 protein expression was a prognostic marker in breast cancer patients, which supports previous reports by other groups. High expression of NAT1 has been shown to correlate with better outcome among ER-positive breast cancers [24, 25]. Furthermore, in a study of primary male breast cancers, NAT1 positivity was reported to be correlated with better outcome [26]. Bieche and colleagues reported a positive correlation between NAT1 mRNA levels and ERα mRNA levels [24]. One of the reasons for the association between NAT1 and good prognosis might be the role of NAT1 as a drug metabolizing enzyme. Bieche and colleagues reported high NAT1 could predict the response to tamoxifen in ER-positive breast cancer [24] and hypothesized that strong intratumoral NAT1 expression could lead to increased detoxification of genotoxic and/or estrogenic tamoxifen metabolites. In addition, Kim and colleagues reported that the NAT1 methylation rate was lower in a control group than in a tamoxifen-resistant group, and that the expression of NAT1 mRNA was lower in the latter [27]. Therefore, it seems that NAT1 has an important role in the response to tamoxifen. In the present study, we also showed that NAT1 was significantly associated with favorable DFS and OS in patients who received adjuvant endocrine therapy with tamoxifen. Moreover, we showed that patients whose tumors were NAT1-positive had a significantly more favorable prognosis in node-positive breast cancer patients. Almost all patients (97.3%, 143/147) with metastatic invaded lymph nodes received adjuvant systemic therapy, not only with tamoxifen but also other hormonal- and chemo-therapies. Although patients with positive lymph nodes are at high risk of recurrence, the effect of the adjuvant systemic therapy is considered to be more important in node-positive than in node-negative patients. NAT1 might influence not only the metabolism of tamoxifen but also other drugs. We also showed that expression of NAT1 correlated positively with expression of ERα, which might be another reason for the correlation between the presence of NAT1 and good prognosis.

In contrast, NAT1 overexpression can lead to resistance to certain drugs. Using nontransformed breast epithelial HB4a cells, Adam and colleagues reported that NAT1 overexpression conferred a growth and survival advantage, even in low serum concentrations [23]. Moreover, these cells were more resistant to etoposide-induced cell death, prompting the authors to suggest that NAT1 may have indirect oncogenic effects. Similarly, NAT1 expression was higher in gemcitabine-resistant Calu3 cells than in sensitive cells. Although we used different drugs, our results are in contrast to some previous hypotheses. This is a limitation of this study.

In addition, there have been some reports that NAT1 has an important role in cancer cell biology. The small molecule inhibitor Rhod-o-hp was used to investigate the effect of NAT1 inhibition in MDA-MB-231 breast cancer cells. This resulted in changes in cell proliferation rates and invasiveness [28]. Moreover, knockdown of NAT1 expression using short-hairpin RNA (shRNA) in the noninvasive HT-29 colon cancer cell line resulted in a marked change in cell morphology that was accompanied by an increase in cell-cell contact inhibition of growth and a loss of cell viability at confluence [29]. These reports pointed to NAT1 as a novel target for anticancer drug development. NAT1 might play a role as a predictive factor for therapeutic effects and act as a therapeutic target, similar to the ER.

Conclusions

This study demonstrated that miR-1290 directly targets the NAT1 3′-UTR. We showed that levels of expression of NAT1 were positively correlated with ERα and PgR, but negatively correlated with tumor grade and size. Kaplan-Meier analysis showed that the presence of NAT1 was significantly associated with increased OS in breast cancer patients and with DFS and OS in patients who received adjuvant endocrine therapy with tamoxifen. Moreover, NAT1 was more significantly associated with increased DFS and OS in lymph node-positive breast cancer patients. Univariate and multivariate analyses showed significant associations between levels of NAT1 and DFS. We conclude that NAT1 might be a suitable DFS prognostic biomarker, particularly for lymph node-positive breast cancer. Thus, miR-1290 and its potential target NAT1 are associated with characteristics of breast cancer.

Abbreviations

DFS:

Disease-free survival

EIA:

Enzyme immunoassay

ERα:

Estrogen receptor α

FISH:

Fluorescence in situ hybridization

IHC:

Immunohistochemistry

NAT1:

Arylamine N-acetyltransferase 1

NATs:

Arylamine N-acetyltransferases

miRNA:

microRNA

OS:

Overall survival

PgR:

Progesterone receptor

UTR:

Untranslated regions.

References

  1. Perou CM, Sorlie T, Eisen MB, van de Rijn M, Jeffrey SS, Rees CA, Pollack JR, Ross DT, Johnsen H, Akslen LA, Fluge O, Pergamenschikov A, Williams C, Zhu SX, Lonning PE, Borresen-Dale AL, Brown PO, Botstein D: Molecular portraits of human breast tumours. Nature. 2000, 406 (6797): 747-752. 10.1038/35021093.

    Article  CAS  PubMed  Google Scholar 

  2. Sorlie T, Tibshirani R, Parker J, Hastie T, Marron JS, Nobel A, Deng S, Johnsen H, Pesich R, Geisler S, Demeter J, Perou CM, Lonning PE, Brown PO, Borresen-Dale AL, Botstein D: Repeated observation of breast tumor subtypes in independent gene expression data sets. Proc Natl Acad Sci U S A. 2003, 100 (14): 8418-8423. 10.1073/pnas.0932692100.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Blenkiron C, Goldstein LD, Thorne NP, Spiteri I, Chin SF, Dunning MJ, Barbosa-Morais NL, Teschendorff AE, Green AR, Ellis IO, Tavare S, Caldas C, Miska EA: MicroRNA expression profiling of human breast cancer identifies new markers of tumor subtype. Genome Biol. 2007, 8 (10): R214-10.1186/gb-2007-8-10-r214.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Krol J, Loedige I, Filipowicz W: The widespread regulation of microRNA biogenesis, function and decay. Nat Rev Genet. 2010, 11 (9): 597-610.

    CAS  PubMed  Google Scholar 

  5. Esquela-Kerscher A, Slack FJ: Oncomirs - microRNAs with a role in cancer. Nat Rev Cancer. 2006, 6 (4): 259-269. 10.1038/nrc1840.

    Article  CAS  PubMed  Google Scholar 

  6. Endo Y, Toyama T, Takahashi S, Yoshimoto N, Iwasa M, Asano T, Fujii Y, Yamashita H: miR-1290 and its potential targets are associated with characteristics of estrogen receptor alpha-positive breast cancer. Endocr Relat Cancer. 2013, 20 (1): 91-102. 10.1530/ERC-12-0207.

    Article  CAS  PubMed  Google Scholar 

  7. Butcher NJ, Minchin RF: Arylamine N-acetyltransferase 1: a novel drug target in cancer development. Pharmacol Rev. 2012, 64 (1): 147-165. 10.1124/pr.110.004275.

    Article  CAS  PubMed  Google Scholar 

  8. Sim E, Walters K, Boukouvala S: Arylamine N-acetyltransferases: from structure to function. Drug Metab Rev. 2008, 40 (3): 479-510. 10.1080/03602530802186603.

    Article  CAS  PubMed  Google Scholar 

  9. Weber WW, Hein DW: N-acetylation pharmacogenetics. Pharmacol Rev. 1985, 37 (1): 25-79.

    CAS  PubMed  Google Scholar 

  10. Butcher NJ, Tetlow NL, Cheung C, Broadhurst GM, Minchin RF: Induction of human arylamine N-acetyltransferase type I by androgens in human prostate cancer cells. Cancer Res. 2007, 67 (1): 85-92. 10.1158/0008-5472.CAN-06-2635.

    Article  CAS  PubMed  Google Scholar 

  11. Sim E, Westwood I, Fullam E: Arylamine N-acetyltransferases. Expert Opin Drug Metab Toxicol. 2007, 3 (2): 169-184. 10.1517/17425255.3.2.169.

    Article  CAS  PubMed  Google Scholar 

  12. Sim E, Abuhammad A, Ryan A: Arylamine N-acetyltransferases: from drug metabolism and pharmacogenetics to drug discovery. Br J Pharmacol. 2014, 171 (11): 2705-2725. 10.1111/bph.12598.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Wakefield L, Robinson J, Long H, Ibbitt JC, Cooke S, Hurst HC, Sim E: Arylamine N-acetyltransferase 1 expression in breast cancer cell lines: a potential marker in estrogen receptor-positive tumors. Genes Chromosomes Cancer. 2008, 47 (2): 118-126. 10.1002/gcc.20512.

    Article  CAS  PubMed  Google Scholar 

  14. Kondo N, Toyama T, Sugiura H, Fujii Y, Yamashita H: miR-206 Expression is down-regulated in estrogen receptor alpha-positive human breast cancer. Cancer Res. 2008, 68 (13): 5004-5008. 10.1158/0008-5472.CAN-08-0180.

    Article  CAS  PubMed  Google Scholar 

  15. Yamashita H, Yando Y, Nishio M, Zhang Z, Hamaguchi M, Mita K, Kobayashi S, Fujii Y, Iwase H: Immunohistochemical evaluation of hormone receptor status for predicting response to endocrine therapy in metastatic breast cancer. Breast Cancer. 2006, 13 (1): 74-83. 10.2325/jbcs.13.74.

    Article  PubMed  Google Scholar 

  16. Allred DC, Harvey JM, Berardo M, Clark GM: Prognostic and predictive factors in breast cancer by immunohistochemical analysis. Mod Pathol. 1998, 11 (2): 155-168.

    CAS  PubMed  Google Scholar 

  17. Iwase H, Zhang Z, Omoto Y, Sugiura H, Yamashita H, Toyama T, Iwata H, Kobayashi S: Clinical significance of the expression of estrogen receptors alpha and beta for endocrine therapy of breast cancer. Cancer Chemother Pharmacol. 2003, 52 (Suppl 1): S34-S38.

    Article  CAS  PubMed  Google Scholar 

  18. Wolff AC, Hammond ME, Schwartz JN, Hagerty KL, Allred DC, Cote RJ, Dowsett M, Fitzgibbons PL, Hanna WM, Langer A, McShane LM, Paik S, Pegram MD, Perez EA, Press MF, Rhodes A, Sturgeon C, Taube SE, Tubbs R, Vance GH, van de Vijver M, Wheeler TM, Hayes DF: American Society of Clinical Oncology/College of American Pathologists guideline recommendations for human epidermal growth factor receptor 2 testing in breast cancer. J Clin Oncol. 2007, 25 (1): 118-145.

    Article  CAS  PubMed  Google Scholar 

  19. Belian E, Kurucz R, Treue D, Lage H: Effect of YB-1 on the regulation of micro RNA expression in drug-sensitive and drug-resistant gastric carcinoma cells. Anticancer Res. 2010, 30 (2): 629-633.

    CAS  PubMed  Google Scholar 

  20. Wulfken LM, Moritz R, Ohlmann C, Holdenrieder S, Jung V, Becker F, Herrmann E, Walgenbach-Brunagel G, von Ruecker A, Muller SC, Ellinger J: MicroRNAs in renal cell carcinoma: diagnostic implications of serum miR-1233 levels. PLoS One. 2011, 6 (9): e25787-10.1371/journal.pone.0025787.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Wu J, Ji X, Zhu L, Jiang Q, Wen Z, Xu S, Shao W, Cai J, Du Q, Zhu Y, Mao J: Up-regulation of microRNA-1290 impairs cytokinesis and affects the reprogramming of colon cancer cells. Cancer Lett. 2013, 329 (2): 155-163. 10.1016/j.canlet.2012.10.038.

    Article  CAS  PubMed  Google Scholar 

  22. Li A, Yu J, Kim H, Wolfgang CL, Canto MI, Hruban RH, Goggins M: MicroRNA array analysis finds elevated serum miR-1290 accurately distinguishes patients with low-stage pancreatic cancer from healthy and disease controls. Clin Cancer Res. 2013, 19 (13): 3600-3610. 10.1158/1078-0432.CCR-12-3092.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Adam PJ, Boyd R, Tyson KL, Fletcher GC, Stamps A, Hudson L, Poyser HR, Redpath N, Griffiths M, Steers G, Harris AL, Patel S, Berry J, Loader JA, Townsend RR, Daviet L, Legrain P, Parekh R, Terrett JA: Comprehensive proteomic analysis of breast cancer cell membranes reveals unique proteins with potential roles in clinical cancer. J Biol Chem. 2003, 278 (8): 6482-6489. 10.1074/jbc.M210184200.

    Article  CAS  PubMed  Google Scholar 

  24. Bieche I, Girault I, Urbain E, Tozlu S, Lidereau R: Relationship between intratumoral expression of genes coding for xenobiotic-metabolizing enzymes and benefit from adjuvant tamoxifen in estrogen receptor alpha-positive postmenopausal breast carcinoma. Breast Cancer Res. 2004, 6 (3): R252-R263. 10.1186/bcr784.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Dolled-Filhart M, Ryden L, Cregger M, Jirstrom K, Harigopal M, Camp RL, Rimm DL: Classification of breast cancer using genetic algorithms and tissue microarrays. Clin Cancer Res. 2006, 12 (21): 6459-6468. 10.1158/1078-0432.CCR-06-1383.

    Article  CAS  PubMed  Google Scholar 

  26. Johansson I, Nilsson C, Berglund P, Lauss M, Ringner M, Olsson H, Luts L, Sim E, Thorstensson S, Fjallskog ML, Hedenfalk I: Gene expression profiling of primary male breast cancers reveals two unique subgroups and identifies N-acetyltransferase-1 (NAT1) as a novel prognostic biomarker. Breast Cancer Res. 2012, 14 (1): R31-10.1186/bcr3116.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Kim SJ, Kang HS, Jung SY, Min SY, Lee S, Kim SW, Kwon Y, Lee KS, Shin KH, Ro J: Methylation patterns of genes coding for drug-metabolizing enzymes in tamoxifen-resistant breast cancer tissues. J Mol Med (Berl). 2010, 88 (11): 1123-1131. 10.1007/s00109-010-0652-z.

    Article  CAS  Google Scholar 

  28. Tiang JM, Butcher NJ, Minchin RF: Small molecule inhibition of arylamine N-acetyltransferase Type I inhibits proliferation and invasiveness of MDA-MB-231 breast cancer cells. Biochem Biophys Res Commun. 2010, 393 (1): 95-100. 10.1016/j.bbrc.2010.01.087.

    Article  CAS  PubMed  Google Scholar 

  29. Tiang JM, Butcher NJ, Cullinane C, Humbert PO, Minchin RF: RNAi-mediated knock-down of arylamine N-acetyltransferase-1 expression induces E-cadherin up-regulation and cell-cell contact growth inhibition. PLoS One. 2011, 6 (2): e17031-10.1371/journal.pone.0017031.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Pre-publication history

Download references

Acknowledgements

This work was supported by Grants-in-Aid for Scientific Research, Japan Society for the Promotion of Science (JSPS, Nos, 24791387).

Author information

Authors and Affiliations

  1. Department of Oncology, Immunology and Surgery, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya, 467-8601, Japan

    Yumi Endo, Nobuyasu Yoshimoto, Tomoko Asano, Yukari Hato, Yu Dong, Yoshitaka Fujii & Tatsuya Toyama

  2. Department of Experimental Pathology and Tumor Biology, Nagoya City University Graduate School of Medical Sciences, Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya, 467-8601, Japan

    Satoru Takahashi & Shinya Sato

  3. Department of Breast and Endocrine Surgery, Hokkaido University Hospital, Kita 14, Nishi 5, Sapporo, 060-8648, Japan

    Hiroko Yamashita

Authors
  1. Yumi Endo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hiroko Yamashita
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Satoru Takahashi
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Shinya Sato
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Nobuyasu Yoshimoto
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Tomoko Asano
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Yukari Hato
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Yu Dong
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Yoshitaka Fujii
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Tatsuya Toyama
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Tatsuya Toyama.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

YE designed the study, performed all experiments, and drafted the manuscript. HY participated in its design of the study and helped to draft the manuscript. ST participated in the luciferase reporter assays. ST and SS participated in analysis and interpretation of immunohistochemistry. NY, TA and YH obtained patients’ clinical information. DY participated in the sequence alignment. YF conceived of the study. TT participated in its design and the critical review of the manuscript. All authors read and approved the final manuscript.

Electronic supplementary material

Additional file 1: Table S1: Primer sequences for generating luciferase reporter constructs. (DOC 30 KB)

12885_2014_5180_MOESM2_ESM.pptx

Additional file 2: Figure S1: NAT1 immunohistochemical staining of the breast cancer tissues. A, NAT1 expression level was assessed as 0 percent of positively stained tumor cells. B, NAT1 expression level was assessed as 12%. C, NAT1 expression level was assessed as 50%. D, NAT1 expression level was assessed as 75%. x400. (PPTX 6 MB)

12885_2014_5180_MOESM3_ESM.pptx

Additional file 3: Figure S2: Kaplan-Meier survival analyses of the lymph node negative breast cancer patients. Disease free survival (A) and overall survival (B) of the 161 lymph node positive breast cancer patients stratified according to the presence or absence of NAT1 protein. (PPTX 71 KB)

Authors’ original submitted files for images

Rights and permissions

Open Access  This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.

The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/.

The Creative Commons Public Domain Dedication waiver (https://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Endo, Y., Yamashita, H., Takahashi, S. et al. Immunohistochemical determination of the miR-1290 target arylamine N-acetyltransferase 1 (NAT1) as a prognostic biomarker in breast cancer. BMC Cancer 14, 990 (2014). https://doi.org/10.1186/1471-2407-14-990

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1471-2407-14-990

Keywords

BMC Cancer

ISSN: 1471-2407

Contact us