Oncotarget

Research Papers:

Association between the functional polymorphism Ile31Phe in the AURKA gene and susceptibility of hepatocellular carcinoma in chronic hepatitis B virus carriers

PDF |  HTML  |  Supplementary Files  |  How to cite

Oncotarget. 2017; 8:54904-54912. https://doi.org/10.18632/oncotarget.18613

Metrics: PDF 1360 views  |   HTML 2171 views  |   ?  

Zhiyu Bao, Lei Lu, Xinyi Liu, Bingqian Guo, Yun Zhai, Yuanfeng Li, Yahui Wang, Bobo Xie, Qian Ren, Pengbo Cao, Yuqing Han, Weihua Jia, Minshan Chen, Xinqiang Liang, Xuan Wang, Yi-Xin Zeng, Fuchu He, Hongxing Zhang, Ying Cui and Gangqiao Zhou _

Abstract

Zhiyu Bao1,2,3,4,5,*, Lei Lu6,*, Xinyi Liu1,4,5,*, Bingqian Guo1,4,5,*, Yun Zhai1,4,5, Yuanfeng Li1,4,5, Yahui Wang1,4,5, Bobo Xie1,4,5, Qian Ren1,4,5, Pengbo Cao1,4,5, Yuqing Han1,4,5, Weihua Jia7,8, Minshan Chen9, Xinqiang Liang2, Xuan Wang6, Yi-Xin Zeng7,8, Fuchu He1,4,5, Hongxing Zhang1,4,5, Ying Cui2 and Gangqiao Zhou1,4,5,10

1State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, China

2Guangxi Medical University, Nanning, China

3Affiliated Hospital of Jining Medical University, Jining, China

4National Engineering Research Center for Protein Drugs, Beijing, China

5National Center for Protein Sciences Beijing, Beijing, China

6Department of Surgical Oncology, Bayi Hospital Affiliated Nanjing University of Chinese Medicine, Jindu Hospital, Nanjing, China

7State Key Laboratory of Oncology in Southern China, Guangzhou, China

8Department of Experimental Research, Sun Yat-Sen University Cancer Center, Guangzhou, China

9Department of Hepatobiliary Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China

10Anhui Medical University, Hefei, Anhui, China

*These authors have contributed equally to this work

Correspondence to:

Gangqiao Zhou, email: [email protected]

Ying Cui, email: [email protected]

Hongxing Zhang, email: [email protected]

Keywords: hepatocellular carcinoma, hepatitis B virus, AURKA, polymorphism, susceptibility

Received: February 17, 2017    Accepted: May 22, 2017    Published: June 27, 2017

ABSTRACT

Aurora kinase A (AURKA) is a serine threonine kinase which affects chromosomal separation and mitotic spindle stability through interaction with the centrosome during mitosis. Two functional nonsynonymous polymorphisms of the AURKA gene (Ile31Phe and Val57Ile) have been reported recently. We analyzed the association between the two polymorphisms and risk of the occurrence of hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) in the Guangxi population consisting of 348 patients with HCC and 359 control subjects, and then validated the significant association in the Guangdong population consisting of 440 cases and 456 controls. All of the participants were of Chinese origin and HBV carriers. The two polymorphisms were genotyped by polymerase chain reaction-restriction fragment length polymorphism assay or Sequenom MassARRAY iPLEX platform. In the Guangxi population, carriers of the AURKA 31Phe allele (Ile/Phe + Phe/Phe) were significantly associated with decreased susceptibility to HBV-related HCC when compared with noncarriers (Ile/Ile) (odds ratio [OR] = 0.63, 95% confidence interval [CI] = 0.46-0.86, P = 3.4 × 10-3). On the contrary, no significant association was found between Val57Ile and HBV-related HCC occurrence. The association of Ile31Phe with HBV-related HCC occurrence was confirmed in the Guangdong population (OR = 0.64, 95% CI = 0.49-0.83, P = 8.0 × 10-4). The pooled analysis gave a joint P value of 5.5 × 10-6 (joint OR = 0.63, 95% CI = 0.52-0.77). Our findings suggest that AURKA Ile31Phe may play a role in mediating the susceptibility to HBV-related HCC among Chinese.


INTRODUCTION

Hepatocellular carcinoma (HCC) is the fifth most common cancer in the world and ranks the third as a cancer killer due to its high fatality rate [1]. It has been reported that about half a million new cases of HCC emerged in China each year [2]. It is well known that multiple risk factors contribute to hepatocarcinogenesis, such as chronic hepatitis B virus (HBV) infection, excessive alcohol consumption, cirrhosis, carcinogen exposure (such as aflatoxin B1), and a number of genetic and epigenetic alterations [3, 4]. Though HBV infection is the major cause of HCC, only a fraction of infected patients develops HCC during their lifetime, suggesting that genetic factor may play an important role in individuals’ susceptibility to HCC.

Genetic instability, which can generate mutations in oncogenes and tumor-suppressor genes, is a main driving force for malignant transformation and tumor progression [5, 6]. The centrosomes can play an extremely important role in the maintenance of genomic stability by organizing bipolar spindle during mitosis and by ensuring equal segregation of replicated chromosomes into daughter cells [7]. Aurora kinase A (AURKA, also known as STK15, BTAK and AIKI), which is implicated in the regulation of the G2/M transition and acts as a key regulator in chromosome segregation and centrosome functions [8, 9], localizes to centrosomes and mitotic spindles where it mediates mitotic progression and chromosomal stability. Previous studies have shown that amplification or overexpression of AURKA leads to centrosome amplification, bypass of the G2/M DNA-damage checkpoint, chromosome instability, malignant transformation, and tumor progression, suggesting that AURKA may play an important role in these oncogenic processes [1019]. In accordance with these findings, amplification, overexpression, and/or constitutive activation of AURKA have been reported in many types of human cancers and cancer cell lines [2023].

Recently, Aurka has been identified as a new direct transcriptional target of p53 in mouse liver, and the direct repression of Aurka by p53 in quiescent liver may be necessary to suppress the tumor-promoting consequences of the overexpression of AURKA in liver [24, 25]. In another study, the tumor suppressor SIRT2 has been found to interact with and degrade AURKA, partially accounting for the observation that Sirt2-deficient male mice would develop more HCC than wild-type mice [26]. In addition, Dauch et al. have found that in the context of chronic liver damage in mice, AURKA can bind to and stabilize phosphorylated MYC, overcoming G2/M cell-cycle arrest and promoting survival of liver cancer cells [27]. In accordance with its role as an oncogene, AURKA is overexpressed at mRNA and protein levels in HCC cell lines and in more than 60% HCC patients [28, 29]. Moreover, the high level of AURKA mRNA expression in HCC is associated with high-stages and poor outcome [28, 29].

The AURKA gene is located on chromosome 20q13.2. Recently, a nonsynonymous polymorphism Ile31Phe (F31I, rs2273535) has been identified in the exon 4 of AURKA, which locates at nucleotide position 91 and encodes a phenylalanine (Phe)-to-isoleucine (Ile) substitution at amino acid position 31. Ile31Phe is a structurally nonconservative aromatic/aliphatic amino acid substitution, and exists in an evolutionarily conversed region of the NH2-terminal domain which may function in translocation of the AURKA protein from cytoplasm to centrosome during mitosis [11, 30]. Functional analyses have revealed that the 31Ile variant is preferentially amplified and associated with aneuploidy in human colon tumors, and more readily enhanced both cell growth in vitro and tumorigenicity in nude mice compared with the 31Phe counterpart [31]. Although AURKA 31Phe was expressed at a level similar to that of AURKA 31Ile, the 31Phe variant binds more preferentially than 31Ile to the E2-ubiquitin-conjugating enzyme UBE2Nin human cells and is colocalized with UBE2N in the centrosomes, and this interaction correlates with attenuation of the ability of AURKA to induce cell growth and transformation [31]. In addition to Ile31Phe, another nonsynonymous polymorphism rs1047972 has been identified in the exon 4 of AURKA, resulting in valine/isoleucine at amino acid 57 (Val57Ile, V57I). The different haplotypes constituted by Ile31Phe and Val57Ile show variable functional consequences [32]. First, kinase activity levels of 31Ile-57Ile and 31Phe-57Ile were reduced to 15% and 40% compared with 31Ile31-57Val in vivo and in vitro. Second, abnormal nuclear morphology was 30 to 40 times more frequent in human immortalized fibroblast cells overexpressing 31Ile-57Ile or 31Phe-57Ile compared with the other two haplotypes. Finally, genomic instability of esophageal squamous cell carcinomas (ESCs) in the 31Phe-57Ile homozygotes was about 10-fold higher than that in the 31Ile-57Val homozygotes. Having these findings in mind, we expect that the two functional polymorphisms (Ile31Phe and Val57Ile) in the AURKA gene may act as genetic modifiers in individual susceptibility to human cancer. Indeed, several epidemiological studies have investigated the association between the two polymorphisms and the risk of breast, colon, esophageal, uterine, ovarian, prostate, skin and lung cancer, although the results have not been consistent [3342]. However, according to our best knowledge, no studies have been conducted to specifically evaluate the two polymorphisms and risk of HCC. Therefore, in this study we performed association study in two case-control populations of Chinese ancestry, to examine whether functional polymorphisms in the AURKA gene has any bearing on the occurrence of HBV-related HCC among Chinese.

RESULTS

Summary description of the subjects participated in this study

The selected characteristics of the two case-control populations were summarized in Supplementary Table 1. In the Guangxi population, as described previously [4345], there was no significant difference between patients and control subjects in terms of sex distribution, smoking and drinking status, and pack-years of smoking (all P values > 0.05). However, higher mean age (P = 1.2 × 10-6, t test), more subjects with age greater than 45 years (χ2 = 11.1, P = 9.6 × 10-4), and more subjects with first-degree family history of HCC (χ2 = 19.1, P = 1.2 × 10-5) were presented in the cases compared with controls (Supplementary Table 1). As previously reported, the Guangdong case-control population contained 751 cases and 509 controls [43]. However, 311 cases and 53 controls were excluded in this study because their DNA had been depleted in the original study. Therefore, the present Guangdong population had a total of 440 cases and 456 controls. No significant differences were observed in terms of the age and sex distribution between the previous 751 and the present 440 cases (mean age, 49.3 and 49.1 years, respectively; male/female ratio, 6.6 and 6.1, respectively), and between the previous 509 and the present 456 controls (mean age, 48.1 and 47.8 years, respectively; male/female ratio, 5.3 and 4.8, respectively) (Supplementary Table 1) [43]. In the Guangdong population, cases and controls were comparable with regard to mean age, and age and sex distributions (all P values > 0.05). The data on smoking and drinking status, pack-years of smoking, and family history of HCC were largely not available in this case-control population (Supplementary Table 1).

Genetic association between AURKA Ile31Phe and HBV-related HCC among Chinese

The genotyping results of Ile31Phe and Val57Ile in the Guangxi population are shown in Table 1. The observed genotype frequencies for the two polymorphisms conformed to the Hardy-Weinberg equilibrium (HWE) in both cases and controls (all unadjusted P values > 0.05). For Ile31Phe, the frequencies of the Ile/Ile, Ile/Phe and Phe/Phe genotype among cases were significantly different from those among controls (χ2 = 8.4, P = 0.015, df = 2), and this difference was mainly caused by a higher frequency of the Ile/Ile genotype among cases compared with controls (53.7% vs. 42.9%). On the basis of logistic regression analysis with adjustment for age, sex, status of smoking and drinking, pack-years of smoking, and family history, subjects bearing Phe allele (Ile/Phe + Phe/Phe) had a significantly decreased susceptibility to HBV-related HCC compared with those bearing Ile/Ile genotype (OR, 0.63; 95% CI, 0.46-0.86; P = 3.4 × 10-3). The association withstood Bonferroni correction for multiple comparisons. For Val57Ile, we found no significant association with the risk of HCC (OR, 0.79; 95% CI, 0.56-1.12; P = 0.18). We also performed haplotype analyses of these two SNPs (in the order of Ile31Phe and Val57Ile; Supplementary Table 2). As compared with the haplotype Ile-Val, the haplotype Phe-Val was significantly associated with HCC risk (unadjusted P value = 0.016). However, the haplotype was much inferior to Ile31Phe in terms of the significance of the association, suggesting the association is only attributed to Ile31Phe.

Table 1: Association results for AURKA polymorphisms in two case-control populations.

Polymorphisms

Genotypes

Cases, n (%)

Controls, n (%)

OR (95% CI)

P value

Ile31Phe

 Guangxi population

n = 348

n = 359

Ile/Ile

187 (53.7)

154 (42.9)

1.00 (Reference)

Ile/Phe

131 (37.6)

164 (45.7)

0.62(0.45-0.87)

4.9 × 10-3

Phe/Phe

30 (8.6)

41 (11.4)

0.66(0.38-1.12)

0.12

Ile/Phe + Phe/Phe

161 (46.3)

205 (57.1)

0.63 (0.46-0.86)

3.4× 10-3

Guangdong population

n = 440

n = 456

Ile/Ile

234 (53.2)

193 (42.3)

1.00 (Reference)

Ile/Phe

164 (37.3)

214 (46.9)

0.62 (0.47-0.82)

8.5 × 10-4

Phe/Phe

42 (9.6)

49 (10.8)

0.71 (0.45-1.13)

0.15

Ile/Phe + Phe/Phe

206 (46.8)

263 (57.7)

0.64 (0.49-0.83)

8.0 × 10-4

 Pooled population

n = 788

n = 815

Ile/Ile

421 (53.4)

347 (42.6)

1.00 (Reference)

Ile/Phe

295 (37.4)

378 (46.4)

0.62 (0.50-0.77)

9.3 × 10-6

Phe/Phe

72 (9.1)

90 (11.0)

0.67 (0.47-0.94)

0.022

Ile/Phe + Phe/Phe

367 (46.6)

468 (57.4)

0.63 (0.52-0.77)

5.5×10-6

Val57Ile

 Guangxi population

n = 348

n = 359

Val/Val

267 (76.7)

259 (72.1)

1.00 (Reference)

Val/Ile

75 (21.6)

91 (25.4)

0.79 (0.55-1.13)

0.20

Ile/Ile

6 (1.7)

9 (2.5)

0.75 (0.26-2.19)

0.63

Val/Ile + Ile/Ile

81 (23.3)

100 (27.9)

0.79 (0.56-1.12)

0.18

OR, odds ratio. CI, confidence interval. ORs and 95% CIs were calculated by logistic regression analyses with adjustment for age, sex, smoking and drinking status, pack-years of smoking, family history of HCC and population, where appropriate.

We then went forward to genotype Ile31Phe and validate the finding, i.e., decreased susceptibility of Ile/Phe + Phe/Phe genotype to HCC, in a further sample set, the Guangdong population (Table 1). Overall, the genotypic frequencies of Ile31Phe observed in the Guangdong population were very comparable to those from the Guangxi population, and conformed to the HWE (P = 0.097and 0.36, for cases and controls, respectively). Again, there was an excess of Ile/Phe + Phe/Phe genotype in controls than in cases (57.7% vs. 46.8%; OR, 0.64; 95% CI, 0.49-0.83; P = 8.0 × 10-4). When the Guangxi and Guangdong populations were combined, the pooled OR for Ile/Phe + Phe/Phe genotype was 0.63 (95% CI, 0.52-0.77; P = 5.5×10-6), compared with Ile/Ile genotype (Table 1).

Stratification analyses of association between Ile31Phe and HBV-related HCC

We further investigated the effect of AURKA Ile31Phe on HBV-related HCC with stratification by age, sex, status of smoking and drinking, pack-years of smoking, and family history (Supplementary Table 3). Although the susceptibility to HBV-related HCC associated with Ile/Ile genotype was more pronounced in females in the Guangdong population (Pheterogeneity = 0.038), this was not the case in the Guangxi population (Pheterogeneity = 0.13). The susceptibility to HBV-related HCC associated with Ile/Ile genotype appeared to be more pronounced in subjects who were older (>45 years), negative for first-degree family history of HCC, and heavier smokers (>21 pack-years); however, the difference could be attributed to chance, with all P values for homogeneity greater than 0.05. In accordance with the results that no appreciable variation of the effect across the subgroups stratified by age, case-only analyses did not show any differences in mean ages at diagnosis (± SD, years) in the 3 genotype groups (in the Guangxi population, 45.9 ± 11.4 years for Ile/Ile, 47.2 ± 12.2 years for Ile/Phe, and 45.0 ± 11.1 years for Phe/Phe, P = 0.39; in the Guangdong population, 45.9 ± 11.4 years for Ile/Ile, 47.2 ± 12.2 years for Ile/Phe, and 45.0 ± 11.1 years for Phe/Phe, P = 0.39). The susceptibility to HBV-related HCC associated with Ile/Ile genotype was more pronounced in smokers and drinkers (Pheterogeneity = 8.4 × 10-3 and 1.8 × 10-4, for smoking status and drinking status, respectively).

DISCUSSION

In this study, we for the first time reported the genetic association between the AURKA Ile31Phe and HBV-related HCC risk among Chinese, confirming the initial hypothesis that the AURKA gene may play a role in the pathogenesis of this malignancy. Furthermore, we found that the susceptibility to HBV-related HCC associated with Ile/Ile genotype was more pronounced in smokers and drinkers. One hypothesis to explain the interactions is that occurrence of larger numbers of transformed cells caused by drinking or smoking in liver probably increase the possibility that one of these cells will become malignant under the condition of higher potential of cell growth and transformation due to the Ile/Ile genotype of Ile31Phe.

Previously, a case-control study on the association between AURKA Ile31Phe and susceptibility to HCC has been performed by Akkiz et al. in a Turkish population [46]. The main finding in this study is that the proportion of Ile/Phe and Ile/Ile genotypes of Ile31Phe in patients with HCC was significantly higher than that in subjects without HCC (39.8% vs. 22.7%; P = 0.0030; OR =2.26, 95% CI, 1.31-3.90) [46]. However, due to study size and the heterogeneity of the cohort (e.g., 77 cases were HBsAg positive and 30 cases were anti-HCVAb positive), the association in the study of Akkiz et al. should have performed an independent replication. In addition, failure to match the case and control groups in that study for important confounding factors, such as virus infection, may lead to spurious results because of population stratification.

Since prevalence of HCC has distinct geographical distributions, it would be interesting to know the frequency of disease associated variant in other populations. With genotypes derived from the present and previous studies and the HapMap populations, one can find that the at-risk genotype Ile/Ile of AURKA Ile31Phe is more frequent among individuals of Chinese descent (40.0%) and Japanese descent (34.1%) relative to those of European descent (3.3%) and African descent (3.3%). It remains to be determined whether these differences between ethnic groups influence susceptibility to HCC.

Although the exact mechanism by which AURKA Ile31Phe influences the susceptibility to HBV-related HCC requires further investigation, the genetic association between Ile31Phe and the onset of HCC is biologically plausible. AURKA is a member of the Aurora/Ipl1p family of mitotically regulated serine/threonine kinases that are key regulators of chromosome segregation and cytokinesis [47]. Several studies have demonstrated that both mRNA and protein levels of AURKA were elevated in tumorous tissues of patients with HCC when compared with paired adjacent nontumorous liver tissues [28, 29]. Functional studies have revealed that the downregulation of AURKA expression in HCC cells can inhibit in vitro cellular proliferation and in vivo tumorigenicity. In mouse liver cancer, the expression of AURKA can be suppressed at transcriptional level by p53 and at post-transcriptional level by SIRT2. Furthermore, AURKA can interact physically with MYC to mediate its stabilization in TP53-altered hepatocytes in the context of chronic liver damage in mice, which would overcome G2/M cell-cycle arrest and promote tumor cell survival [27]. In addition, knockdown of AURKA induces G2/M arrest of HepG2 cells by upregulating FoxO1 in a p53-dependent manner [48], and leads to cell death inHepG2 cells probably via activation of apoptotic pathways in a caspase-dependent manner [49].

Given the role of AURKA in the development of HCC, together with the earlier described functional relevance of Ile31Phe in modulation of transforming property, we expect that individuals who carry the protective 31Phe allele, and thus might change AURKA function through modifying interactions with its binding partners and/or downstream apoptotic pathways, may be at lower susceptibility to developing HCC. If carrying the Ile/Ile homozygous genotype is regarded as a risk factor for the development of HCC, then by Adams’s formula [50], the population attributable fraction (PAF) can be estimated. The PAF calculated using the relative risk (OR, 1.59; 95% CI, 1.30-1.92) and the Ile/Ile genotype frequency in the pooled controls (42.6%; Table 1) indicates that 20.1% (95% CI, 11.3-28.2%) of elevation in risk of HCC can be attributed to the susceptible effect of the Ile/Ile genotype. Based on the calculated PAF, the AURKA Ile31Phe polymorphism is unlikely to be appropriate for risk prediction testing. However, with more susceptibility loci identified, and interaction effects among such loci together with other HCC risk factors taken into account, the prediction of HCC occurrence may become more accurate and clinically usable.

Previous studies have reported several genetic polymorphisms associated with the progression of HCC patients [51, 52]. Thus, we investigated whether the AURKA polymorphisms was associated with the prognosis of patients with HBV-related HCC. A case-only data set was obtained from the GEO database (www.ncbi.nlm.nih.gov/geo/, accession number GSE38323), which containing 215 patients with HBV-related HCC from Korea for whom death or survival information was available. Using multivariate analyses, we found that the overall survival time was similar among patients with different genotypes of Ile31Phe (Ile/Ile vs. Ile/Phe + Phe/Phe, P = 0.10, hazard ratio (HR) = 1.44, 95% CI = 0.95-2.20; Supplementary Figure 1 and data not shown). On the contrary, as compared with Val/Ile + Ile/Ile genotypes of Val57Ile, Val/Val was significantly associated with shorter overall survival time of patients with HBV-related HCC (P = 0.041, HR = 1.80, 95% CI = 1.02-3.16). However, these preliminary findings may be biased due to the limited number of patients with HBV-related HCC in this sample set, and warrant confirmation in future studies.

Recently, conformation-changing AURKA inhibitors, with one of them currently being tested in early clinical trials, have been reported to suppress tumor growth and prolong survival in mice bearing xenograft tumors of human HCC cells [27]. Therefore, the functional polymorphisms of the AURKA gene need to be considered as a possible modification factor for cancer treatments using such inhibitors and for subsequent clinical trials.

This study has two potential limitations. First, the patients with HCC were recruited from the hospital, while the controls were selected from the community population. Therefore, inherent selection bias might exist. Second, although the highly significant association between AURKA Ile31Phe and susceptibility to HCC was derived from a biologically based a priori hypothesis, our initial findings require independent verification in populations with large number of subjects and of different ancestry, with appropriate study design.

In conclusion, our results reveal an association for the first time between the functional polymorphism Ile31Phe in the AURKA gene and susceptibility to HBV-related HCC, and, the genotypes containing 31Phe allele, which has less potential for malignant transformation than the 31Ile allele, seem to be a genetic protective factor for the HBV-related HCC risk among Chinese. If confirmed by other studies, knowledge of genetic factors contributing to the pathogenesis of HCC as presented here may have implications for the cancer screening and treatment of this malignance in the future.

MATERIALS AND METHODS

Study subjects

This study included two independent case-control populations (Supplementary Table 1). All the cases and controls were unrelated ethnic adult Chinese, and residents in Guangxi province (Guangxi population) and Guangdong province (Guangdong population), respectively. The diagnosis of HCC, the inclusion and exclusion criteria for the cases and controls were described in detail previously [4345]. Briefly, both the HCC cases and controls were chronic HBV carriers positive for both hepatitis B surface antigen and antibody immunoglobulin G to hepatitis B core antigen for at least 6 months. For Guangdong population, 751 patients with HCC and 509 control subjects were consecutively recruited from August 2003 to November 2007 at the Sun Yat-sen University Cancer Center (Guangzhou, China) at Guangdong province located in the southern China. All the cases and controls were self-reported Cantonese residing at the Guangzhou city and its surrounding regions. For Guangxi population, a total of 348 patients with HBV-related HCC were enrolled between July 2002 and January 2008 at the Guangxi Cancer Hospital (Nanning, China) [43]. All cases were residents in Fusui county and the surrounding regions at Guangxi province, a well-known high-risk region for HCC located in southern China. The 359 controls were randomly selected from a community cancer screening program for early detection of cancer conducted in the same regions during the same time period as the HCC cases were enrolled.

At recruitment, informed consent was obtained from each subject. This study was performed with the approval of the Ethical Committee of Beijing Institute of Radiation Medicine (Beijing, China).

Genotyping

In Guangxi population, the Ile31Phe was genotyped by PCR-restriction fragment length polymorphism (RFLP), as described previously [34]. An amplification of a 165-bp fragment was performed using primers as listed in Supplementary Table 4. The PCR product was digested overnight with 2U of ApoI enzyme (New England BioLabs, Beverly, MA) at 50°C, and then separated on 3% agarose gel. The sequence of six bases beginning from the 153rd bp was a natural ApoI restriction site and the Ile allele located at the 89th bp created a new ApoI restriction site. Thus, homozygotes carrying Phe/Phe genotype appeared as two bands (153 and 12bp), but only a 153-bp band could be visualized in the agarose gel. Homozygotes carrying Ile/Ile genotype appeared as three bands (89, 64 and 12 bp), and only 89-bp and 64-bp bands could be seen. Heterozygotes carrying Ile/Phe genotype had four bands (153, 89, 64 and 12 bp), and the first three bands could appear.

The Ile31Phe and Val57Ile were genotyped in Guangdong population and Guangxi population respectively, by Sequenom MassARRAY system according to the manufacturer’s instructions [53]. The MassARRAY system is based on a single-base primer extension technology. This platform employs the matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry to measure the mass of the extension products and then correlates the detected mass with a specific genotype. Primers used for polymerase chain reaction (PCR) and single-base extension were designed by the Assay Designer software (Sequenom) (Supplementary Table 4). Genotype data were automatically called and visualized for clustering by Typer 4.0 (Sequenom).

In both populations, genotyping was performed without knowledge of case or control status. Ile31Phe and Val57Ile had genotyping call rates of 100%. A masked, random sample of 15% of the cases and controls from both Guangxi and Guangdong populations was tested by PCR direct sequencing, and all results had 100% concordance.

Statistical analysis

Hardy-Weinberg equilibrium (HWE) was analyzed using the web-based tool SNPstats (http://bioinfo.iconcologia.net/SNPstats). Differences in the distributions of demographical characteristics between the cases and the controls were evaluated using the Student’s t-test (for continuous variables) and χ2 test (for categorical variables).

The association between 31Ile and the risk of HCC was estimated by computing the odds ratio (OR) and 95% confidence interval (95% CI) using binary logistic regression analyses with adjustment for age, sex, smoking and drinking status, pack-years of smoking and family history of HCC in case-control populations, where appropriate. The potential modification effects of Ile31Phe on HCC risk were assessed for age, sex, smoking and drinking status, pack-years of smoking and family history of HCC by the addition of interaction terms in the logistic regression model and by separate analyses of subgroups of subjects stratified by these factors.

All P values were two-sided, and a level of P < 0.05 was considered statistically significant. These analyses were performed using the SPSS software (version 10.0; SPSS Inc, Chicago, IL).

Author contributions

G.Z., H.Z., and Y.C. conceived and designed the experiments. Xinqiang L. and Z.B. were responsible for recruitment of Guangxi subjects, phenotype collection and biological sample collection and preparation. M.C., W.J., and Y.Z. were responsible for recruitment of Guangdong subjects, phenotype collection and biological sample collection and preparation. Z.B., L.L., Xingyi L., B.G., Y.Z., B.X., Q.R., Y.H. and H.Z. performed genotyping. Z.B., L.L., X.W., Xingyi L., B.G., Y.L., Y.W. and P.C. managed genotype data and performed statistical analyses. G.Z. and H.Z. interpreted results and wrote the manuscript.

ACKNOWLEDGMENTS

We thank the subjects and their families for participating in this study, and the clinicians, nurses and study coordinators for their contributions.

This work was supported by grants from the Major Project of Chinese National Programs for Fundamental Research and Development (No. 2013CB910301), National Natural Science Foundation of China (No. 91440206, 81125017, 81222027 and 81472274), Program of Beijing Municipal Commission for Science and Technology for Frontier Technology of Life Science (No. Z141100000214014), Chinese Key Project for Infectious Diseases (No. 2017ZX10302202 and 2017ZX10203205), Program of International S&T Cooperation (No. 2014DFB30020) and Beijing Science & Technology NOVA Program (No. 2010B006).

CONFLICTS OF INTERESTS

The authors have declared that no competing interests exist.

REFERENCES

1. Parkin DM, Bray F, Ferlay J, Pisani P. Global cancer statistics, 2002. CA Cancer J Clin. 2005; 55: 74–108.

2. Chen W, Zheng R, Baade PD, Zhang S, Zeng H, Bray F, Jemal A, Yu XQ, He J. Cancer statistics in China, 2015. CA Cancer J Clin. 2016; 66: 115–132.

3. Farazi PA, DePinho RA. Hepatocellular carcinoma pathogenesis: from genes to environment. Nat Rev Cancer. 2006; 6: 674–687.

4. El-Serag HB, Rudolph KL. Hepatocellular carcinoma: epidemiology and molecular carcinogenesis. Gastroenterology. 2007; 132: 2557–2576.

5. Cahill DP, Kinzler KW, Vogelstein B, Lengauer C. Genetic instability and darwinian selection in tumours. Trends Cell Biol. 1999; 9: M57–60.

6. Lengauer C, Kinzler KW, Vogelstein B. Genetic instabilities in human cancers. Nature. 1998; 396: 643–649.

7. Zimmerman W, Sparks CA, Doxsey SJ. Amorphous no longer: the centrosome comes into focus. Curr Opin Cell Biol. 1999; 11: 122–128.

8. Carmena M, Earnshaw WC. The cellular geography of aurora kinases. Nat Rev Mol Cell Bio. 2003; 4: 842–854.

9. Dutertre S, Descamps S, Prigent C. On the role of aurora-A in centrosome function. Oncogene. 2002; 21: 6175–6183.

10. Zhou H, Kuang J, Zhong L, Kuo WL, Gray JW, Sahin A, Brinkley BR, Sen S. Tumour amplified kinase STK15/ BTAK induces centrosome amplification, aneuploidy and transformation. Nature Genet. 1998; 20: 189–193.

11. Bischoff JR, Anderson L, Zhu Y, Mossie K, Ng L, Souza B, Schryver B, Flanagan P, Clairvoyant F, Ginther C, Chan CS, Novotny M, Slamon DJ, Plowman GD. A homologue of Drosophila aurora kinase is oncogenic and amplified in human colorectal cancers. EMBO J. 1998; 17: 3052–3065.

12. Giet R, Prigent C. Aurora/Ipl1p-related kinases, a new oncogenic family of mitotic serine-threonine kinases. J Cell Sci. 1999; 112: 3591–3601.

13. Sillars-Hardebol AH, Carvalho B, Tijssen M, Beliën JA, de Wit M, Delis-van Diemen PM, Pontén F, van de Wiel MA, Fijneman RJ, Meijer GA. TPX2 and AURKA promote 20q amplicon-driven colorectal adenoma to carcinoma progression. Gut. 2012; 61: 1568–1575.

14. Do TV, Xiao F, Bickel LE, Klein-Szanto AJ, Pathak HB, Hua X, Howe C, O'Brien SW, Maglaty M, Ecsedy JA, Litwin S, Golemis EA, Schilder RJ, et al. Aurora kinase A mediates epithelial ovarian cancer cell migration and adhesion. Oncogene. 2014; 33: 539–549.

15. Chou CH, Yang NK, Liu TY, Tai SK, Hsu DS, Chen YW, Chen YJ, Chang CC, Tzeng CH, Yang MH. Chromosome instability modulated by BMI1-AURKA signaling drives progression in head and neck cancer. Cancer Res. 2013; 73: 953–966.

16. Treekitkarnmongkol W, Katayama H, Kai K, Sasai K, Jones JC, Wang J, Shen L, Sahin AA, Gagea M, Ueno NT, Creighton CJ, Sen S. Aurora kinase-A overexpression in mouse mammary epithelium induces mammary adenocarcinomas harboring genetic alterations shared with human breast cancer. Carcinogenesis. 2016; 37: 1180–1189.

17. Chuang TP, Wang JY, Jao SW, Wu CC, Chen JH, Hsiao KH, Lin CY, Chen SH, Su SY, Chen YJ, Chen YT, Wu DC, Li LH. Over-expression of AURKA, SKA3 and DSN1 contributes to colorectal adenoma to carcinoma progression. Oncotarget. 2016; 7: 45803–45818. doi: 10.18632/oncotarget.9960.

18. Schnepp RW, Khurana P, Attiyeh EF, Raman P, Chodosh SE, Oldridge DA, Gagliardi ME, Conkrite KL, Asgharzadeh S, Seeger RC, Madison BB, Rustgi AK, Maris JM, Diskin SJ. A LIN28B-RAN-AURKA signaling network promotes neuroblastoma tumorigenesis. Cancer Cell. 2015; 28: 599–609.

19. Eterno V, Zambelli A, Villani L, Tuscano A, Manera S, Spitaleri A, Pavesi L, Amato A. AurkA controls self-renewal of breast cancer-initiating cells promoting wnt3a stabilization through suppression of miR-128. Sci Rep. 2016; 6: 28436.

20. Sen S, Zhou H, White RA. A putative serine/threonine kinase encoding gene BTAK on chromosome 20q13 is amplified and overexpressed in human breast cancer cell lines. Oncogene. 1997; 14: 2195–2200.

21. Tanner MM, Grenman S, Koul A, Johannsson O, Meltzer P, Pejovic T, Borg A, Isola JJ. Frequent amplification of chromosomal region 20q12--q13 in ovarian cancer. Clin Cancer Res. 2000; 6: 1833–1839.

22. Hidaka S, Yasutake T, Takeshita H, Kondo M, Tsuji T, Nanashima A, Sawai T, Yamaguchi H, Nakagoe T, Ayabe H, Tagawa Y. Differences in 20q13.2 copy number between colorectal cancers with and without liver metastasis. Clin Cancer Res. 2000; 6: 2712–2717.

23. Banck MS, Kanwar R, Kulkarni AA, Boora GK, Metge F, Kipp BR, Zhang L, Thorland EC, Minn KT, Tentu R, Eckloff BW, Wieben ED, Wu Y, et al. The genomic landscape of small intestine neuroendocrine tumors. J Clin Invest. 2013; 123: 2502–2508.

24. Kurinna S, Stratton SA, Coban Z, Schumacher JM, Grompe M, Duncan AW, Barton MC. p53 regulates a mitotic transcription program and determines ploidy in normal mouse liver. Hepatology. 2013;57:2004–2013.

25. Li CC, Chu HY, Yang CW, Chou CK, Tsai TF. Aurora-A overexpression in mouse liver causes p53-dependent premitotic arrest during liver regeneration. Mol Cancer Res. 2009; 7: 678–688.

26. Kim HS, Vassilopoulos A, Wang RH, Lahusen T, Xiao Z, Xu X, Li C, Veenstra TD, Li B, Yu H, Ji J, Wang XW, Park SH, et al. SIRT2 maintains genome integrity and suppresses tumorigenesis through regulating APC/C activity. Cancer Cell. 2011; 20: 487–499.

27. Dauch D, Rudalska R, Cossa G, Nault JC, Kang TW, Wuestefeld T, Hohmeyer A, Imbeaud S, Yevsa T, Hoenicke L, Pantsar T, Bozko P, Malek NP, et al. A MYC-aurora kinase A protein complex represents an actionable drug target in p53-altered liver cancer. Nat Med. 2016; 22: 744–753.

28. Jeng YM, Peng SY, Lin CY, Hsu HC. Overexpression and amplification of Aurora-A in hepatocellular carcinoma. Clin Cancer Res. 2004; 10: 2065–2071.

29. Wang R, Wang JH, Chu XY, Geng HC, Chen LB. Expression of STK15 mRNA in hepatocellular carcinoma and its prognostic significance. Clin Biochem. 2009; 42: 641–647.

30. Cheetham GM, Knegtel RM, Coll JT, Renwick SB, Swenson L, Weber P, Lippke JA, Austen DA. Crystal structure of aurora-2, an oncogenic serine/threonine kinase. J Biol Chem. 2002; 277: 42419–42422.

31. Ewart-Toland A, Briassouli P, de Koning JP, Mao JH, Yuan J, Chan F, MacCarthy-Morrogh L, Ponder BA, Nagase H, Burn J, Ball S, Almeida M, Linardopoulos S, Balmain A. Identification of Stk6/STK15 as a candidate low-penetrance tumor susceptibility gene in mouse and human. Nat Genet. 2003; 34: 403–412.

32. Kimura MT, Mori T, Conroy J, Nowak NJ, Satomi S, Tamai K, Nagase H. Two functional coding single nucleotide polymorphisms in STK15 (Aurora-A) coordinately increase esophageal cancer risk. Cancer Res. 2005; 65: 3548–3554.

33. Ewart-Toland A, Dai Q, Gao YT, Nagase H, Dunlop MG, Farrington SM, Barnetson RA, Anton-Culver H, Peel D, Ziogas A, Lin D, Miao X, Sun T, et al. Aurora-A/STK15 T + 91A is a general low penetrance cancer susceptibility gene: a meta-analysis of multiple cancer types. Carcinogenesis. 2005; 26: 1368–1373.

34. Miao X, Sun T, Wang Y, Zhang X, Tan W, Lin D. Functional STK15 Ile31Phe polymorphism is associated with the occurrence and advanced disease status of esophageal squamous cell carcinoma. Cancer Res. 2004; 64: 2680–2683.

35. Sun T, Miao X, Wang J, Tan W, Zhou Y, Yu C, Lin D. Functional Ile31Phe polymorphism in Aurora A and risk of breast carcinoma. Carcinogenesis. 2004; 25: 2225–2230.

36. Milam MR, Gu J, Yang H, Celestino J, Wu W, Horwitz IB, Lacour RA, Westin SN, Gershenson DM, Wu X, Lu KH. STK15 F31I polymorphism is associated with increased uterine cancer risk: a pilot study. Gynecol Oncol. 2007; 107: 71–74.

37. Dicioccio RA, Song H, Waterfall C, Kimura MT, Nagase H, McGuire V, Hogdall E, Shah MN, Luben RN, Easton DF, Jacobs IJ, Ponder BA, Whittemore AS, et al. STK15 polymorphisms and association with risk of invasive ovarian cancer. Cancer Epidemiol Biomarkers Prev. 2004; 13: 1589–1594.

38. Lo YL, Yu JC, Chen ST, Yang HC, Fann CS, Mau YC, Shen CY. Breast cancer risk associated with genotypic polymorphism of the mitosis-regulating gene Aurora-A/STK15/BTAK. Int J Cancer. 2005; 115: 276–283.

39. Feik E, Baierl A, Madersbacher S, Schatzl G, Maj-Hes A, Berges R, Micksche M, Gsur A. Common genetic polymorphisms of AURKA and prostate cancer risk. Cancer Causes Control. 2009; 20: 147–152.

40. Fletcher O, Johnson N, Palles C, dos Santos Silva I, McCormack V, Whittaker J, Ashworth A, Peto J. Inconsistent association between the STK15 F31I genetic polymorphism and breast cancer risk. J Natl Cancer Inst. 2006; 98: 1014–1018.

41. Qin K, Wu C, Wu X. Two nonsynonymous polymorphisms (F31I and V57I) of the STK15 gene and breast cancer risk: a meta-analysis based on 5966 cases and 7609 controls. J Int Med Res. 2013; 41: 956–963.

42. Sun H, Bai J, Chen F, Jin Y, Yu Y, Fu S. Lack of an association between AURKA T91A polymorphisms and breast cancer: a meta-analysis involving 32,141 subjects. Breast Cancer Res Treat. 2011; 125: 175–179.

43. Zhang H, Zhai Y, Hu Z, Wu C, Qian J, Jia W, Ma F, Huang W, Yu L, Yue W, Wang Z, Li P, Zhang Y, et al. Genome-wide association study identifies 1p36.22 as a new susceptibility locus for hepatocellular carcinoma in chronic hepatitis B virus carriers. Nat Genet. 2010; 42: 755–758.

44. Zhai Y, Zhou G, Deng G, Xie W, Dong X, Zhang X, Yu L, Yang H, Yuan X, Zhang H, Zhi L, Yao Z, Shen Y, et al. Estrogen receptor alpha polymorphisms associated with susceptibility to hepatocellular carcinoma in hepatitis B virus carriers. Gastroenterology. 2006; 130: 2001–2009.

45. Zhai Y, Qiu W, Dong XJ, Zhang XM, Xie WM, Zhang HX, Yuan XY, Zhou GQ, He FC. Functional polymorphisms in the promoters of MMP-1, MMP-2, MMP-3, MMP-9, MMP-12 and MMP-13 are not associated with hepatocellular carcinoma risk. Gut. 2007; 56: 445–447.

46. Akkiz H, Bayram S, Bekar A, Akgöllü E, Ozdil B. Relationship between functional polymorphism in the Aurora A gene and susceptibility of hepatocellular carcinoma. J Viral Hepat. 2010; 17: 668–674.

47. Bischoff JR, Plowman GD. The Aurora/Ipl1p kinase family: regulators of chromosome segregation and cytokinesis. Trends Cell Biol. 1999; 9: 454–459.

48. Lee SY, Lee GR, Woo DH, Park NH, Cha HJ, Moon YH, Han IS. Depletion of Aurora A leads to upregulation of FoxO1 to induce cell cycle arrest in hepatocellular carcinoma cells. Cell Cycle. 2013; 12: 67–75.

49. Gao P, Wang R, Shen JJ, Lin F, Wang X, Dong K, Zhang HZ. Hypoxia-inducible enhancer/alpha-fetoprotein promoter-driven RNA interference targeting STK15 suppresses proliferation and induces apoptosis in human hepatocellular carcinoma cells. Cancer Sci. 2008; 99: 2209–2217.

50. Adams MJ Jr, Khoury MJ, James LM. The use of attributable fraction in the design and interpretation of epidemiologic studies. J Clin Epidemiol. 1989; 42: 659–662.

51. Wan S, Wu Y, Zhou X, Chen Y, An J, Yu X, Zhang H, Yang H, Xing J. Polymorphisms in genes of tricarboxylic acid cycle key enzymes are associated with early recurrence of hepatocellular carcinoma. PLoS One. 2015; 10: e0124471.

52. Huang M, Pan Y, Liu J, Qi F, Wen J, Xie K, Ma H, Shen H, Liu Y, Dai J. A genetic variant at KIF1B predicts clinical outcome of HBV-related hepatocellular carcinoma in Chinese. Cancer Epidemiol. 2014; 38: 608–612.

53. Bradić M, Costa J, Chelo IM. Genotyping with Sequenom. Methods Mol Biol. 2011; 772: 193–210.


Creative Commons License All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 4.0 License.
PII: 18613