Icb-1 gene polymorphism rs1467465 is associated with susceptibility to ovarian cancer
© Schüler et al.; licensee BioMed Central Ltd. 2014
Received: 8 October 2013
Accepted: 6 April 2014
Published: 23 April 2014
In this study, we tested the hypothesis that single nucleotide polymorphisms (SNPs) of differentiation-associated human gene icb-1 (C1orf38) may be associated with ovarian cancer susceptibility. For this purpose, we compared the genotype and allele frequencies of the SNPs rs1467465 and rs12048235 in a group of 184 ovarian cancer patients with a control group of 184 age- and gender-matched women without any malignancy. Genotype-phenotype association revealed that A allele of SNP rs1467465 was more frequent in ovarian cancer patients than in the control group (0.40 vs. 0.33, OR 1.37, 95% CI 1.013-1.853, p = 0.04). After analysis of allele positivity we observed that A-positive genotypes were more frequent in the ovarian cancer group (0.65 vs. 0.53, OR 1.63, 95% CI 1.072-2.483, p = 0.02). Furthermore, the heterozygous genotype of rs1467465 was found to be more frequent in the patients group (0.50 vs. 0.41, OR 1.63, 95% CI 1.045-2.045, p = 0.03). No significant results were obtained with regard to SNP rs1204823. Our data suggest, that SNP rs1467465 of human gene icb-1 might affect susceptibility to ovarian cancer.
Ovarian cancer is the most lethal gynecological malignancy and the sixth most common cancer among women in industrialized countries . Because of its potential for aggressive local invasion and the lack of sensitive early screening methods, around 75% of all ovarian cancers are diagnosed at an advanced stage. Despite extensive research during the last decades, the etiology and pathogenesis of this tumor entity is only partly understood. Binding of steroid hormones like estrogens to their receptors like estrogen receptor α (ERα) is known to stimulate growth of ovarian cancer cells [2, 3]. Recently we reported interaction between ERα and differentiation-associated gene icb-1 (Themis2, C1orf38) in ovarian cells [4, 5]. Icb-1 is a vertebrate gene located on human chromosome 1 (1p35.3), which was identified and cloned by our group in an attempt to analyze gene expression changes during in vitro differentiation of endometrial tumor cells . Recent studies suggested icb-1 to act as a tumor suppressor in ovarian cancer - its knockdown accelerated growth of various ovarian cancer cell lines and led to upregulation of ovarian cancer markers like CLDN16 and KLK10 . Icb-1 seems to suppress progression of ovarian cancer by inhibition of oncogenic pathways activated by ERα. Thus, the individual level of icb-1 expression, which can be assumed to result from different epigenetical, but also genetical factors like single nucleotide polymorphisms (SNPs), might affect ovarian cancer risk.
Today, only 5–10% of ovarian cancer cases have been shown to be hereditary . However, further polymorphisms in crucial genes are expected to affect susceptibility to ovarian cancer . Single nucleotide polymorphisms (SNPs) are the most frequent sequence variations in the human genome. SNPs located in exon regions may alter protein function, whereas SNPs in the gene promoter can modify gene expression levels [9–15]. In the last years, a multitude of genotype-phenotype association studies have been published examining the significance of randomly chosen SNPs in different hormone-dependent diseases [12, 16–20].
To test the relevance of two SNPs of icb-1 gene for susceptibility to ovarian cancer, we genotyped 184 women with ovarian cancer and just as many women without any malignancy.
Patients and methods
Staging and histopathological characteristics of ovarian cancer cases (n = 184)
SNPs in the icb-1 gene were selected using the internet web sites http://www.genecards.org. and http://www.ncbi.nlm.nih.gov/SNP. Intronic polymorphism rs1467465 is located at position 28083990 of chromosome 1, between icb-1 exons 4 and 5 and rs12048235 is located at position 28078471 of the same chromosome, in the intron between exons 2 and 3.
PCR primers used for SNP analysis
Deviation from the Hardy-Weinberg equilibrium was estimated by the Fisher’s exact test and the χ2 test, and all values were subjected to one-way ANOVA to achieve homogeneity of variance. Statistical tests for association (C.I.: 95% confidence interval) and for significance were carried out using SPSS for Windows 8.0 (SPSS, Inc., Chicago, IL). P < 0.01 was considered statistically significant. After tests for deviation from Hardy-Weinberg equilibrium were conducted, allele frequency, allele positiviy and genotype frequencies were determined. Odds ratio (OR) was calculated using the more frequent homozygous genotypes as reference group.
Comparison of SNP genotypes between ovarian cancer patients and women without any malignancy
C.I. 95 %
C.I. 95 %
When we analysed the allele frequencies of the icb-1 gene SNPs we found that in women with ovarian cancer the A allele of SNP rs1467465 was carried significantly more often than in women without an ovarian malignancy (0.40 vs. 0.33, OR 1.37, 95% CI 1.013-1-853, p = 0.04) (Table 3). Ovarian cancer patients exhibited significantly less G-positive alleles of this SNP. We were not able to show any significant differences between healthy women and women with ovarian cancer in the allele positivity analysis of the icb-1 gene SNP rs12048235 (Table 3).
Phenotype-genotype association analyses of allele positivity of the icb-1 gene SNPs revealed that A allele positivity of SNP rs1467465 was more frequent in patients with ovarian cancer than in the control group of healthy women (0.65 vs. 0.53, OR 1.632, 95% CI 1.072-2.483, p = 0.02) (Table 3). G positive alleles were less exhibited in patients with ovarian cancer. We did not find any significant difference between healthy women and women with ovarian cancer in allele positivity analyses of the icb-1 gene SNP rs12048235 (Table 3).
Our data suggest SNP rs467465 in icb-1 gene to affect susceptibility to ovarian cancer. The vertebrate gene icb-1 previously has been shown to inhibit growth of ovarian cancer cells in vitro and to suppress expression of ovarian cancer biomarkers like kallikrein-related peptidase 10 and claudin 16 or other cancer-related genes activated by estrogens or TNFα . Furthermore, knockdown of icb-1 was shown to inhibit induction of differentiation-associated genes like E-cadherin triggered by vitamin D3 or all-trans retinoic acid. Loss of icb-1 expression previously was sufficient to transform the estrogen-unresponsive ovarian cancer cell line SK-OV-3 into a line exhibiting a strong proliferative response to estrogen stimuli . Icb-1 gene contains an imperfect estrogen response element (ERE) and transcript levels of icb-1 were shown to be estrogen-responsive in ovarian cancer cells in an estrogen receptor α (ERα)-dependent manner . Estrogens are able to promote ovarian tumor progression , which is associated with loss of cellular differentiation. Thus, women carrying the minor frequent allele or genotype of SNP rs1467465, which might lead to decreased icb-1 function, are suggested to be less sensitive to the antitumoral effects of vitamin D3 and all-trans retinoic acid, but more sensitive to the oncogenic effects triggered by estrogens or TNFα.
In this study, we examined intronic polymorphisms without clear functional relevance, because icb-1 gene does not exhibit SNPs in exons or in transcription factor binding sites. Numerous studies reported an association between intronic SNPs and disease risk [22–24]. Intronic SNPs could affect intronic splicing enhancer or silencer signals and thereby modulate the expression of different splice variants . This report is the first one analysing the association of icb-1 gene SNPs rs1467465 and rs12048235 with ovarian cancer risk. Recently, we were able to show that the SNP rs1467465 might affect breast cancer susceptibility, which might corroborate the data presented here . The results of the genotype-phenotype association study we performed clearly demonstrated that the heterozygous genotype of SNP rs1467465, the A-allele and A-positive genotypes were more frequent in ovarian cancer patients and thus might be risk factors for this disease. The general low odds ratios reveal that the effects of the gene polymorphism are low, as expected from a complex etiology.
Taken together, the results of this study suggest that a SNP in human icb-1 gene might be able to affect susceptibility to ovarian cancer. Our data encourage further studies examining the relevance of icb-1 gene in ovarian cancer and combining analysis of rs467465 with other polymorphisms affecting ovarian cancer risk.
We would like to thank Helena Lowack for excellent technical assistance.
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