Aurora kinase A (AURKA) and never in mitosis gene A-related kinase 6 (NEK6) genes are upregulated in erosive esophagitis and esophageal adenocarcinoma

  • Authors:
    • Elmas Kasap
    • Seda Örenay Boyacioglu
    • Mehmet Korkmaz
    • Elif Saritas Yuksel
    • Belkıs Ünsal
    • Erkan Kahraman
    • Ömer Özütemiz
    • Hakan Yuceyar
  • View Affiliations

  • Published online on: April 25, 2012     https://doi.org/10.3892/etm.2012.561
  • Pages: 33-42
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Abstract

Gastroesophageal reflux disease is a risk factor for esophageal adenocarcinoma yet studies that have investigated the relationship between erosive esophagitis and esophageal adenocarcinoma have usually focused on symptom-related evidence or polymorphisms. There are no epigenetic gene expression studies on this topic. In this study, we aimed to evaluate the relationship between erosive esophagitis and esophageal adenocarcinoma to identify whether there is a genetic predisposition for esophageal adenocarcinoma. The Human Epigenetic Chromatin Modification Enzyme RT2 ProfilerTM PCR array (PAHS-085A) was used to detect the expression of 84 key genes encoding enzymes. This was carried out prospectively for samples from 60 patients (20 patients as a control group, 20 patients with erosive esophagitis and 20 patients with esophageal adenocarcinoma). AURKA, AURKB, NEK6 were expressed at significantly higher levels in esophageal adenocarcinoma compared to the control group. MBD2 was expressed at significantly lower levels in the esophageal adenocarcinoma group compared to the control group. AURKA, AURKC, HDAC9 and NEK6 were expressed at significantly higher levels in erosive esophagitis compared to the control group. There was no difference in upregulated gene expression between the erosive esophagitis and esophageal adenocarcinoma. MBD2 was significantly downregulated in esophageal adenocarcinoma compared to erosive esophagitis. NEK6 and AURKA were significantly upregulated in esophageal adenocarcinoma and erosive esophagitis compared to the control group. This is a novel study on the genetic predisposition for erosive esophagitis and esophageal adenocarcinoma. AURKA and NEK6 are two promising genetic markers for erosive esophagitis and esophageal adenocarcinoma.

Introduction

Esophageal cancer is the sixth most leading cause of cancer-related mortality worldwide (1). Esophageal adeno-carcinoma (EAC) and esophageal squamous cell carcinoma are the two main histological types of esophageal cancers (1). Of all esophageal cancer types in Western countries, 30-50% of cases are esophageal adenocarcinoma (1). The incidence of EAC has increased faster than that of any malignancy in Western countries, with an increase of 400% over the past 40 years (2). However, there has been no increase in the prevalence of proximal gastric cancers and distal esophageal adenocarcinomas in the Turkish population (3). The prognosis for EAC is poor and the overall 5-year survival rate is less than 10% (4). Risk factors for EAC include dietary factors, alcohol and tobacco use, obesity, gastroesophageal reflux disease and Barrett’s esophagus (BE) (5). Gastroesophageal reflux disease (GERD) is very common worldwide (6). The prevalence of GERD is high, especially in developed Western countries (7). Bor et al found the prevalence of GERD to be 20% in Izmir (8) and 22.8% in Turkey, similar to the rates in the US (7). Chronic GERD is one of the main risk factors for the development of Barrett’s esophagus (BE) and BE is one of the strongest risk factors for EAC (5,9). Mechanisms that control chromatin stucture and gene expression in normal mammalian cells are DNA methylation, covalent histone modifications, nucleosome position, histone variants and miRNAs (1012). Recent epigenetic studies have shown the effect of epigenetic alterations in carcinogenesis as well as genetic alterations. A number of studies suggest that epigenetic alterations may even be initiating factors for certain types of cancer (13). Genetic alterations are irreversible but epigenetic alterations are reversible and this fact supports future hope for epigenetic therapy (14).

Studies that have investigated the relationship between erosive esophagitis (EE) and EAC usually focus on symptom-related evidence or on polymorphisms. There are no epigenetic gene expression studies on this topic. We aimed to evaluate the relationship between EE and EAC to ascertain whether there is a genetic tendency for EAC.

Materials and methods

Location of study

The study was conducted at the Department of Gastroenterology, Department of Medical Biology, Celal Bayar University, Manisa between March 2010 and September 2011. Patients were also referred from the Department of Gastroenterology, Celal Bayar University, the Department of Gastroenterology, Ege University and the Department of Gastroenterology, Ataturk Research and Training Hospital.

Ethics

This study was performed in accordance with the Declaration of Helsinki, good clinical practice and applicable regulatory requirements. Celal Bayar University Institutional Review Board approved this clinical trial on June 2, 2009. Each patient signed a consent form prior to any study-related procedure.

Study design and subjects

Between March 2010 and September 2011 fresh paired tissue samples from 60 patients [group 1 (20 patients) categorized as the macroscopic and histopathologically confirmed esophageal carcinoma group; group 2 (20 patients) categorized as the erosive esophagitis (without histopathologically esophageal adenocarcinoma and Barrett’s esophagus) group; and group 3 (20 patients) categorized as the control group (who had normal esophageal mucosa with no endoscopic or histopathological lesions)] were collected. Typical GERD symptoms were defined as at least five years of regurgitation and/or heartburn per week in erosive esophagitis. Patients were excluded from the study if they had a history of upper gastrointestinal surgery such as gastrectomy, fundoplication or distal esophagectomy, severe gastroparesis and esophageal varices.

Endoscopy
Erosive esophagitis and control group

Esophagogastroduodenoscopies were undertaken for the EE and control group at the Department of Gastroenterology, Celal Bayar University by the same two endoscopists (E.K., H.Y.) who performed the study. During upper gastrointestinal endoscopy, the distal 5 cm of the esophagus mucosal morphology at the squamo-columnar junction was visualized using conventional endoscopy followed by the Narrow Band Imaging (NBI) system using video endoscopes. During standard white-light endoscopy and NBI examination, erosions, mucosal breaks and other complications were graded according to the Los Angeles classification (15). Two biopsies were taken 2 cm above the esophagogastric junction from patients in the control group, and two biopsies were taken from mucosal breaks in patients with EE.

Esophageal adenocarcinoma

Esophagogastroduodenoscopies were undertaken for EAC cases at the Department of Gastroenterology, Celal Bayar University (11 patients), Department of Gastroenterology, Ege University and Department of Gastroenterology (5 patients), Ataturk Research and Training Hospital (4 patients). Two biopsies were taken from patients pathologically diagnosed as having EACs using Olympus biopsy forceps.

EAC was evaluated according to thoracic and abdominal computed tomography (CT) in three stages: stage 1, esophageal adenocarcinoma located in the esophagus; stage 2, esophageal adenocarcinoma located in the esophagus and with pathological lymphadenopathy; stage 3, esophageal adenocarcinoma located in the esophagus with pathological lymphadenopathy and distant metastasis.

Samples were immediately frozen using dry ice (a block of dry ice has a surface temperature of −78.5°C) and stored at −80°C until RNA extraction.

Isolation of total RNA

Total RNA was extracted using the TriPure solution as described in the manufacturer’s protocol. The fresh tissue was resuspended in a vial of MagNA Lyser Green Beads containing 350 μl lysis buffer and 50 μl of proteinase (Roche). Next, the suspension was subjected to mechanical lysis in a MagNA lyser instrument (Roche) for 45 sec at 4500 rpm. Afterwards, RNA was further extracted and purified using a MagNA Pure LC instrument (Roche) in combination with the MagNA Pure NA isolation kit III. All steps were taken according to the manufacturer’s protocol.

Quantity and purity of total RNA

RNA was quantified measuring the absorbance at 260 nm (A260 nm) and RNA purity was determined by the ratio A260 nm/A280 nm using a classical spectrophotometer. RNA quality was good, with 260/280 ratios slightly higher than 2.0 and 260/230 ratios slightly higher than 1.8.

RT2 profiler™ PCR protocol first strand cDNA synthesis

The protocol took 2 h to perform (per sample) from start to finish. We initially had as little as 25 ng of total RNA from our experimental samples. We first converted the experimental RNA samples into PCR templates to prepare cDNAs with the RT2 First Strand kit (SABioscience, Frederick, MD, USA) according to the manufacturer’s instructions. Next we combined the template with a specific instrument and used ready-to-use RT2 SYBR Green qPCR Master Mix. Then we added equal aliquots of this mixture (25 μl for 96-well) to each well of the same PCR array plate containing the predispensed gene-specific primer sets and performed PCR. Specialized software (SABiosciences) was used to calculate the threshold cycle (Ct) values for the genes on each PCR array.

Epigenetic chromatin modification enzyme PCR array

The Human Epigenetic Chromatin Modification Enzyme RT2 Profiler PCR Array (PAHS-085A) (SABiosciences) was used to detect the expression levels of 84 key genes (Table I) encoding enzymes known or predicted to modify genomic DNA and histones to regulate chromatin accessibility and therefore gene expression. These genes exhibit differential expression profiles in tumor cells relative to normal cells. The PCR array is a 96-well plate containing RT2 Profiler PCR Primer Assays for a set of 84 related genes, plus five housekeeping genes and three controls.

Table I.

List of key genes.

Table I.

List of key genes.

NameDescription
KDM1ALysine (K)-specific demethylase 1A
ASH1LAsh1 (absent, small, or homeotic)-like (Drosophila)
ATF2Activating transcription factor 2
AURKAAurora kinase A
AURKBAurora kinase B
AURKCAurora kinase C
CARM1 Coactivator-associated arginine methyltransferase 1
CDYLChromodomain protein, Y-like
CIITAClass II, major histocompatibility complex, transactivator
CSRP2BPCSRP2 binding protein
DNMT1DNA (cytosine-5-)-methyltransferase 1
DNMT3ADNA (cytosine-5-)-methyltransferase 3 α
DNMT3BDNA (cytosine-5-)-methyltransferase 3 β
DOT1LDOT1-like, histone H3 methyltransferase (S. cerevisiae)
DZIP3DAZ interacting protein 3, zinc finger
EHMT2Euchromatic histone-lysine
N-methyltransferase 2
ESCO1Establishment of cohesion 1 homolog 1 (S. cerevisiae)
ESCO2Establishment of cohesion 1 homolog 2 (S. cerevisiae)
HAT1Histone acetyltransferase 1
HDAC1Histone deacetylase 1
HDAC10Histone deacetylase 10
HDAC11Histone deacetylase 11
HDAC2Histone deacetylase 2
HDAC3Histone deacetylase 3
HDAC4Histone deacetylase 4
HDAC5Histone deacetylase 5
HDAC6Histone deacetylase 6
HDAC7Histone deacetylase 7
HDAC8Histone deacetylase 8
HDAC9Histone deacetylase 9
KDM5BLysine (K)-specific demethylase 5B
RPS6KA3Ribosomal protein S6 kinase, 90 kDa, polypeptide 3
RPS6KA5Ribosomal protein S6 kinase, 90 kDa, polypeptide 5
SETD1ASET domain containing 1A
SETD1BSET domain containing 1B
SETD2SET domain containing 2
SETD3SET domain containing 3
SETD4SET domain containing 4
SETD5SET domain containing 5
SETD6SET domain containing 6
SETD7SET domain containing (lysine methyltransferase) 7
SETD8SET domain containing (lysine methyltransferase) 8
SETDB1SET domain, bifurcated 1
SETDB2SET domain, bifurcated 2
SMYD3SET and MYND domain containing 3
KDM5CLysine (K)-specific demethylase 5C
KDM4ALysine (K)-specific demethylase 4A
KDM4CLysine (K)-specific demethylase 4C
KDM6BLysine (K)-specific demethylase 6B
KAT2AK(lysine) acetyltransferase 2A
KAT2BK(lysine) acetyltransferase 2B
KAT5K(lysine) acetyltransferase 5
MBD2Methyl-CpG binding domain protein 2
MLLMyeloid/lymphoid or mixed-lineage leukemia (trithorax homolog, Drosophila)
MLL3Myeloid/lymphoid or mixed-lineage leukemia 3
MLL5Myeloid/lymphoid or mixed-lineage leukemia 5 (trithorax homolog, Drosophila)
MYSM1Myb-like, SWIRM and MPN domains 1
KAT8K(lysine) acetyltransferase 8
KAT7K(lysine) acetyltransferase 7
KAT6AK(lysine) acetyltransferase 6A
KAT6BK(lysine) acetyltransferase 6B
NCOA1Nuclear receptor coactivator 1
NCOA3Nuclear receptor coactivator 3
NCOA6Nuclear receptor coactivator 6
NEK6NIMA (never in mitosis gene a)-related kinase 6
NSD1Nuclear receptor binding SET domain protein 1
PAK1P21 protein (Cdc42/Rac)-activated kinase 1
PRMT1Protein arginine methyltransferase 1
PRMT2Protein arginine methyltransferase 2
PRMT3Protein arginine methyltransferase 3
PRMT5Protein arginine methyltransferase 5
PRMT6Protein arginine methyltransferase 6
PRMT7Protein arginine methyltransferase 7
PRMT8Protein arginine methyltransferase 8
RNF2Ring finger protein 2
RNF20Ring finger protein 20
SUV39H1Suppressor of variegation 3-9 homolog 1 (Drosophila)
SUV420H1Suppressor of variegation 4-20 homolog 1 (Drosophila)
UBE2A Ubiquitin-conjugating enzyme E2A
UBE2B Ubiquitin-conjugating enzyme E2B
USP16Ubiquitin specific peptidase 16
USP21Ubiquitin specific peptidase 21
USP22Ubiquitin specific peptidase 22
WHSC1Wolf-Hirschhorn syndrome candidate 1
B2M β-2-microglobulin
HPRT1Hypoxanthine phosphoribosyltransferase 1
RPL13ARibosomal protein L13a
GAPDH Glyceraldehyde-3-phosphate dehydrogenase
ACTBActin, β
HGDCHuman genomic DNA contamination
Data analysis

Data were analyzed using RT2 profiler PCR array data analysis software (http://www.sabiosciences.com/pcrarraydataanalysis.php). The website also allowed online analysis. For each PCR reaction, the Excel sheet calculated two normalized average cycle threshold (Ct) values, a paired t-test p-value and a fold-change. PCR array quantification was based on the Ct number. A gene was considered not detectable when Ct >32. Ct was defined as 35 for the ΔCt calculation when the signal was under detectable limits.

Fold-change and fold-regulation values >2 were indicative of upregulated gene; fold-change values <0.5 and fold-regulation values <-2 were indicative of downregulated genes.

Statistics

Data were statistically analyzed with RT2 profiler PCR array data analysis software (http://www.sabiosciences.com/pcrarraydataanalysis.php). Results were expressed as the mean values ± standard deviation and the p-values were calculated based on a Student’s t-test of the replicate 2−ΔCt values for each gene in the control group, esophageal adenocarcinoma group and erosive esophagitis group. A p-value <0.05 was accepted as statistically significant.

Results

A total of 60 patients were divided into three groups: 20 patients as a control group (who had normal esophageal mucosa with no esophagogastroduodenoscopic or histopathological lesions), 20 patients with EE without Barrett’s esophagus and microscopic adenocarcinoma and 20 patients with macroscopic and histopathological adenocarcinoma. The mean age ± SD of the control group was 51.5±11.3 years. The mean age ± SD of the EE group was 56.6±10.2 years. The mean age ± SD of the EAC group was 58.6±12.4 years.

For the three groups genetic analysis was used to investigate the expression of 84 key genes (Table I) encoding enzymes known or predicted to modify genomic DNA and histones to regulate chromatin accessibility and therefore gene expression.

Upregulated and downregulated genes in the EAC and control group are summarized in Table II. AURKA, AURKB, NEK6 were expressed at significantly higher levels in the EAC than in the control group. MBD2 was expressed significantly lower in the EAC than in the control group. Fig. 1 is a scatter plot of the log base 10 of the hybridization intensity of each gene in the two groups [x-axis, control group; y-axis, the EAC (group 1) group]. The middle line indicates a fold-change (2−ΔCt) of 1. The top and the bottom lines indicate the desired fold-change in gene expression threshold. Expression of 80 key genes was unchanged, showing no significant difference in expression between the two groups. The three points above the top line indicate upregulated (AURKA, AURKB, NEK6) genes. The one point under the bottom line represents a down-regulated (MBD2) gene.

Table II.

Differentially upregulated and downregulated genes between the esophageal adenocarcinomas and control group.

Table II.

Differentially upregulated and downregulated genes between the esophageal adenocarcinomas and control group.

Fold-change95% CIp-value
Upregulated genes
  AURKA2.1809(0.74–3.62)0.041697
  AURKB2.5729(1.33–3.81)0.004832
  NEK68.6782(1.79–15.56)0.002312
Downregulated genes
  MBD20.3682(0.20–0.54)0.000193
Housekeeping genes for internal control
  HPRT11.3076(0.87–1.74)0.0681
  RPL13A0.7333(0.49–0.97)0.310487
  GAPDH1.1842(0.81–1.56)0.1399
  ACTB0.7797(0.47–1.08)0.56202
  HGDC2.6061(0.00001–5.70)0.22952

Upregulated and downregulated genes in the EE and control group are summarized in Table III. Seven genes (AURKA, AURKC, HDAC9, NEK6, HDAC8, SETD5, SETD7) were upregulated and AURKA, AURKC, HDAC9, NEK6 were expressed at significantly higher levels in EE than in the control group. There were no downregulated genes in the two groups. Fig. 2 is a scatter plot of the log base 10 of the hybridization intensity of each gene in the two groups [x-axis, control group; y-axis, EE (group 2) group]. The middle line indicates a fold-change (2–ΔCt) of 1. The top and the bottom lines indicate the desired fold-change in gene expression threshold. Expression of 77 key genes was unchanged with no significant difference in gene expression between the two groups. The seven points above the top line represent upregulated (AURKA, AURKC, HDAC9, NEK6, HDAC8, SETD5, SETD7) genes.

Table III.

Differentially upregulated and downregulateda genes between the erosive esophagitis and control group.

Table III.

Differentially upregulated and downregulateda genes between the erosive esophagitis and control group.

Fold-change95% CIp-value
Upregulated genes
  AURKA3.5414(0.86–6.23)0.024265
  AURKC5.3826 (0.00001–10.99)0.040191
  HDAC910.676 (0.00001–24.29)0.036345
  NEK64.771(0.55–8.99)0.025135
  HDAC82.3888(0.79–3.98)0.052014
  SETD52.0724(0.70–3.45)0.100915
  SETD72.492(1.16–3.83)0.8001
Housekeeping genes for internal control
  HPRT11.4659(0.97–1.96)0.084585
  RPL13A1.1343(0.89–1.38)0.615362
  GAPDH1.1331(0.87–1.40)0.154067
  ACTB1.0518(0.69–1.41)0.571422
  HGDC12.8065 (0.00001–29.89)0.05754

a No differentially downregulated genes were noted between the two groups. CI, confidence interval.

Upregulated and downregulated genes in EAC and EE are summarized in Table IV. There was no significant difference in gene upregulation between the two groups. Two genes (MBD2 and MYSM1) were downregulated and MBD2 was significantly downregulated in EAC compared to the EE group. Fig. 3 is a plot of the log base 10 of the hybridization intensity of each gene in the two groups (x-axis represents group 1, EAC, and the y-axis shows group 2, EE). The middle line indicates a fold-change (2−ΔCt) of 1. The top and bottom lines indicate the desired fold-change in gene expression threshold. The expression of 82 key genes was unchanged and no significant difference in gene upregulation was noted between the two groups. The two points under the bottom line represent downregulated (MBD2, MSYM1) genes.

Table IV.

Differentially upregulateda and downregulated genes between esophageal adenocarcinoma and erosive esophagitis.

Table IV.

Differentially upregulateda and downregulated genes between esophageal adenocarcinoma and erosive esophagitis.

Fold-change95% CIp-value
Downregulated
  MBD20.3849(0.17–0.60)0.008897
  MYSM10.3418(0.12–0.57)0.178543
Housekeeping genes (for internal control)
  HPRT11.0676(0.57–1.56)0.984553
  RPL13A0.6926(0.42–0.96)0.290211
  GAPDH1.0459(0.68–1.41)0.561437
  ACTB0.6882(0.39–0.99)0.185571
  B2M1.8789(1.18–2.58)0.221942

a No differentially upregulated genes were noted between the two groups. CI, confidence interval.

The NEK6 and AURKA genes were significantly upregulated in the EAC and EE groups compared to the control group.

The correlation between the AURKA gene and the stage of EAC is summarized in Fig. 4A. There were more patients in the stage 1 group than in the stage 2 and stage 3 groups (p<0.05).

The correlation between the NEK6 gene and the stage of EAC is summarized in Fig. 4B. Again, there were more patients classified in the stage 1 group than in stage 2 and stage 3 groups (p<0.05).

The correlation between expression of the AURKA gene and the Los Angeles classification of erosive esophagitis are summarized in Fig. 5A. Expression of the AURKA gene was found to be elevated dependent on the grade of EE according to the Los Angeles Classification.

The correlation between expression of the NEK6 gene and the Los Angeles classification of EE is summarized in Fig. 5B. The patients with overexpression of the NEK6 gene were more prevalent in the LA Grade B than LA Grade A group (p>0.05).

A clustergram analysis based on differentially expressed genes between the three groups is shown in Fig. 6. The cluster-gram creates a heat map with dendrograms to show genes that are co-regulated. The color saturation reflects the magnitude of the change in gene expression. Green squares represent lower gene expression in the experimental samples (ratios less than 1); black squares represent genes equally expressed (ratios near 1); red squares represent higher than control levels of gene expression (ratios greater than 1); gray squares indicate insufficient or missing data.

Discussion

Understanding the epigenetic structure of carcinomas provides important information on carcinogenesis. Expanding the information on the molecular biology of cancer may result in better follow-up of precancerous and cancer lesions (13,16). Epigenetic changes in stem cells provide important information concerning cancer aetiology, and epigenetic alterations such as gene expression have been used as biomarkers in recent years (17).

In the present study, three genes were overexpressed in the EAC group, with AURKA, AURKB and NEK6 being significantly more highly expressed than levels in the control group. Four genes (AURKA, AURKC, HDAC9, NEK6) were significantly more highly expressed in the EE group than levels in the control group. AURKA and NEK6 genes were significantly more highly expressed in the EE group and in the EAC group than levels in the control group.

Recent studies have shown that the aurora kinase family, polo-like kinase family and NIMA (never in mitosis gene A) kinase family control cell cycle (18,19). Aurora kinases are activated through autophosphorylation at the activation loop unlike most kinases within the cell (20) and NimA promotes mitotic chromosome condensation through phosphorylation of histone H3 at serine 10 and may compose the nuclear membrane division during mitotic exit (21).

Enzymes in the Aurora kinase family are encoded by the AURKA (also called AIK/ARK1/AURA/AURORA2/BTAK/MGC34538/STK15/STK6/STK7) gene, which is localized on 20q13.2 (22,23). These enzymes play very important roles in mitosis and meiosis for healthy cell proliferation. AURKA is a serine/threonine kinase acting as a regulator of centro-some function/duplication, mitotic entry, and bipolar spindle assembly (24). AURKA protein levels and kinase activity are low in the G1/S phase; accumulate during G2/M and decrease rapidly following mitosis (25). AURKA is an important kinase-encoding gene involved in centrosome duplication and distribution; its overexpression leads to centrosome amplification, chromosomal instability and aneuploidy in several cancer types (26,27). AURKA overexpression has been found in numerous tumor cells and tissues including gastric cancer, breast cancer, colorectal cancer, bladder cancer, pancreatic cancer, ovarian cancer, prostate cancer and esophageal squamous-cell carcinoma, esophageal adenocarcinoma and Barrett’s esophagus (27,28). Dar et al demonstrated overexpression of mitotic kinase encoding gene in upper gastrointestinal adenocarcinomas through the immunohistochemical analysis of 130 tumors. This overexpression was more prevalent in gastroesophageal junction adenocarcinomas and lower in esophageal, Barrett-related adenocarcinomas (BAS) than in antrum and body gastric adenocarcinomas. They also found that the expression of AURKA caused an anti-apoptotic effect in gastrointestinal cancer cells with drug-induced apoptosis in an in vitro model (27). Rugge et al found that AURKA immunostaining increased significantly along with the Barrett’s carcinogenesis, from Barrett’s mucosa even without metaplasia towards Barrett’s adenocarcinoma (24). AURKA appears to play an important role in the carcinogenesis of esophageal adenocarcinoma and will be an important target for surveillance, diagnosis, treatment and prognosis in Barrett’s esophagus. The positive relationship between Barrett’s esophagus and AURKA is important for our results since in this study we demonstrated that AURKA is upregulated in erosive esophagitis and the AURKA gene was found to be elevated dependent on the grade of erosive esophagitis based on the Los Angeles Classification. GERD can yield to complications such as erosive esophagitis and strictures; furthermore, it can cause Barrett’s esophagus, which can progress to adenocarcinoma (29). We believe that ascertaining whether the AURKA gene may be used as an early marker in erosive esophagitis toward the development of EAC is crucial.

NIMA is another gene found to be related to cell cycle dysfunction when it is overexpressed or underexpressed. NIMA (never in mitosis gene a)-related kinase 6 (NEK6; also called SID6-1512) is localized on chromosome 9q33-34 and is a serine/threonine kinase that belongs to the Neks (NIMA-related kinases) family, which has been implicated in mitosis control (30). Yin et al previously found that human Nek6 is required for metaphase-anaphase transition during cell cycle progression (31). It is believed that interfering with Nek6 function causes mitotic arrest and triggers apoptosis (32,33). The negative mutant form of Nek6 was found to induce spindle defects, abnormal chromosome segregation, mitotic arrest and apoptosis (34). Overexpression of Nek6 was shown in hepatocellular carcinoma as compared with the adjacent normal tissue as an evidence of its antiapoptotic effect (18). Overexpression of NEK6 was associated with histological grade, level of α feto protein and poor prognosis. NEK6 was shown to mediate human cancer cell transformation and was proposed as a potential cancer therapeutic marker in a previous study (34). Takeno et al stated that NEK6 is a potential marker of gastric cancer regardless of stage and since conventional staging of tumors are not adequate to predict individual prognosis, genetic analyses of tumor tissues may provide better opportunities to predict disease outcome for each individual and may even predict response to therapy (35). The authors selected seven focus genes showing a 2-fold change; four had not been previously evaluated for the association with gastric tumors. NEK6 was one these four new genes (35). They concluded that mapping of gene expression data on large sample numbers helped to identify two novel candidate genes, INHBA and NEK6, that are promising potential markers of gastric cancer. Nassirpour et al revealed that the protein level and kinase activity of Nek6 are highly elevated in a variety of malignant human cancers including breast, uterus, colon, stomach, ovary, lung, kidney, rectum, thyroid, cervix, prostate, pancreas, small intestine cancer cells, and knockdown of Nek6 resulted in reduction of tumors in a nude mouse xenograft model (34). They concluded that since inhibition of NEK6 specifically induces cell death in tumor cells and not in normal tissues, NEK6 inhibitors are a better therapeutic option with lower side effects than cytotoxic antitumor agents.

This is the first study investigating the impact of NEK6 in esophageal adenocarcinoma. Our data show the significant upregulation of NEK6 in erosive esophagitis and esophageal adenocarcinoma. NEK6 was more prevalent in samples with Los Angeles classification B than A in erosive esophagitis demonstrating that NEK6 and AURKA are more evident in more severe forms of esophagitis.

Erosive esophagitis is chronic damage of the esophagus caused by acid, pepsin and biliary salts. Environmental insults cause genetic and epigenetic alterations and they affect the expression of tumor-progenitor genes. Chronic injury is a major cause of cancer even though it is not inherently mutagenic (16). There are studies with large number of patients and long follow-up periods for GERD patients investigating whether they are at risk of developing esophageal adenocarcinoma. In a Swedish nationwide case-control study, gastroesophageal reflux and obesity were identified as strong and independent risk factors for esophageal adenocarcinoma. The risk increased with duration and severity of reflux symptoms and with increasing body mass index (36). Erichsen et al performed a nationwide cohort study in Denmark using data from 33,849 GERD patients and concluded that erosive but not non-erosive reflux disease has an impact on the development of adenocarcinoma emphasizing inflammation as an important factor in carcinogenesis (37).

In our study, in addition to AURKA and NEK6, HDAC9 and AURKC were significantly upregulated in EE compared to the control group. These genes were not expressed in EAC. Wu et al stated that AURKC was overexpressed in inflamed cervical tissue specimens and HDAC inhibitors are therapeutic for several inflammatory conditions (38,39). Do these genes have a role in addition to defect of the defense mechanism of the esophagus in patients with EE in gastroesophageal disease?

MBD2 was significantly downregulated in EAC compared to EE and the control group. MBD2 is a member of the MBD protein family. MBD2 binds to methylated promoter CpG islands and acts as a methylation-dependent transcriptional repressor (40). MBD2 has a role in the activation of methylated and unmethylated genes (42). Expression of MBD2 was particularly low in brain tumors, immune thrombocytopenia and in colorectal and gastric carcinomas (4244) as found in our study. The reasons for the loss of MBD2 expression and the functional consequences are unknown (44). Thus, MBD2 should be studied further in relation to its association with esophageal adenocarcinoma.

This is the first study concerning the epigenetic chromatin histone modification in EE and EAC patients. Compared to the other genes investigated, AURKA and NEK6 were notably upregulated in EAC and EE. AURKA was proven to be associated with EAC in previous studies, and we found similar results for AURKA. This is the first study investigating the impact of NEK6 in esophageal adenocarcinoma, and our data revealed the significant upregulation of NEK6 in erosive esophagitis and esophageal adenocarcinoma. Our study is also the first study aiming to detect the presence of genetic upregulation in EE, a lesion which is not considered to be a precancerous lesion. These results pave the way for future studies with larger numbers of patients and longitudinal studies with longer follow-up periods. In a recent study (7), we found that low prevalence of Barrett’s esophagus was demonstrated in a Western Turkish population. Based on these data, we intend to explore expression of AURKA and NEK6 genes in the future at the national level, using another group with Barrett’s esophagus.

It is hoped that future studies may address the following questions: i) Is erosive esophagitis a precancerous lesion and once detected, is surveillance required? ii) Can AURKA and NEK6 be used as screening tests for esophageal adeno-carcinoma in erosive esophagitis? iii) What are the ranges of AURKA and NEK6 overexpression predictive of the prognosis and the outcome of antitumor therapy? iv) Can AURKA and NEK6 be used as therapeutic targets?

In conclusion, we demonstrated overexpression of AURKA and NEK6 in erosive esophagitis and esophageal adenocarcinoma in a Turkish population. Understanding the molecular pathophysiology of the disease will aid in elucidating the steps for diagnosis, therapy and prognosis. AURKA and NEK6 are two promising genetic markers for erosive esophagitis and esophageal adenocarcinoma.

Abbreviations:

AURKA

aurora kinase A

AURKB

aurora kinase B

AURKC

aurora kinase C

BE

Barrett’s esophagus

EAC

esophageal adenocarcinoma

EE

erosive esophagitis

GERD

gastroesophageal reflux disease

HDAC9

histone deacetylase 9

MBD2

methyl-CpG binding domain protein 2

NEK6

never in mitosis gene A-related kinase 6

Acknowledgements

This study was supported by the Celal Bayar University Coordinator of the Scientific Research Projects (2009-053) Manisa, Turkey.

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July 2012
Volume 4 Issue 1

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Copy and paste a formatted citation
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Spandidos Publications style
Kasap E, Örenay Boyacioglu S, Korkmaz M, Saritas Yuksel E, Ünsal B, Kahraman E, Özütemiz Ö and Yuceyar H: Aurora kinase A (AURKA) and never in mitosis gene A-related kinase 6 (NEK6) genes are upregulated in erosive esophagitis and esophageal adenocarcinoma. Exp Ther Med 4: 33-42, 2012
APA
Kasap, E., Örenay Boyacioglu, S., Korkmaz, M., Saritas Yuksel, E., Ünsal, B., Kahraman, E. ... Yuceyar, H. (2012). Aurora kinase A (AURKA) and never in mitosis gene A-related kinase 6 (NEK6) genes are upregulated in erosive esophagitis and esophageal adenocarcinoma. Experimental and Therapeutic Medicine, 4, 33-42. https://doi.org/10.3892/etm.2012.561
MLA
Kasap, E., Örenay Boyacioglu, S., Korkmaz, M., Saritas Yuksel, E., Ünsal, B., Kahraman, E., Özütemiz, Ö., Yuceyar, H."Aurora kinase A (AURKA) and never in mitosis gene A-related kinase 6 (NEK6) genes are upregulated in erosive esophagitis and esophageal adenocarcinoma". Experimental and Therapeutic Medicine 4.1 (2012): 33-42.
Chicago
Kasap, E., Örenay Boyacioglu, S., Korkmaz, M., Saritas Yuksel, E., Ünsal, B., Kahraman, E., Özütemiz, Ö., Yuceyar, H."Aurora kinase A (AURKA) and never in mitosis gene A-related kinase 6 (NEK6) genes are upregulated in erosive esophagitis and esophageal adenocarcinoma". Experimental and Therapeutic Medicine 4, no. 1 (2012): 33-42. https://doi.org/10.3892/etm.2012.561