Single nucleotide polymorphisms in the DMBT1 promoter and the progression of breast cancer.
Explore the source record for details and available documents.
Biomedical subjects
Publications and source records attributed to Asta Försti.
Explore the source record for details and available documents.
The growth hormone 1/insulin-like growth factor-1 (GH1/IGF-1) axis plays an essential role in the development of the breast by regulating cell proliferation, differentiation and apoptosis. Imbalances within this axis lead to an aberrant signalling and recent research has focussed on the overexpression of these growth factors and their involvement in breast cancer development. The increased understanding of the molecular mechanisms and signalling pathways connected to the GH1/IGF-1 axis has provided important insights into aetiology, prevention and therapy for breast cancer. However, to identify the contribution of the GH1/IGF-1 signalling pathway to cancer risk still remains a challenge since the results of various studies are controversial. Here, we discuss the influence of low-penetrance polymorphisms in the genes along the GH1/IGF-1 axis and their impact on hormone levels and cancer risk, especially breast cancer. We point out what is known about the effects of the variants and show how the interaction of genetic variants affects breast cancer risk.
The importance of matrix metalloproteinases and their inhibitors in tumor progression is well documented. We wanted to investigate if single nucleotide polymorphisms (SNPs) in the promoter regions of these genes are associated with susceptibility to or progression of breast cancer. In this, so far largest case-control study, we genotyped eight SNPs in the MMP1, MMP2, MMP3, MMP9, MMP13, RECK and TIMP3 genes in a well-characterized breast cancer series of 959 cases and 952 controls from Sweden. Even though we did not correct for multiple comparisons, only a few associations were noted. We observed a moderately increased risk for the TT homozygotes of the MMP9-1562 C/T SNP (OR 1.88, 95% CI 0.97-3.63) and for the C allele carriers of the TIMP3-1296 T/C SNP (OR 1.25, 95% CI 1.05-1.50). In the survival analysis, only the TC heterozygotes of the RECK-420 T/C SNP showed a better survival compared to the TT homozygotes (P = 0.02 in all cases and P = 0.03 in lymph node negative cases). None of the other SNPs conferred an increased breast cancer risk, nor did they correlate with survival. A combination of the -585 TT homozygosity in the RECK gene and the -1296 TT homozygosity in the TIMP3 gene correlated with estrogen and progesterone receptor status (OR 1.81, 95% CI 1.03-3.21 and OR 2.10, 95% CI 1.18-3.86, respectively), and a combination of the -1306 TT homozygosity in the MMP2 gene and the -1562 CC homozygosity in the MMP9 gene with progesterone receptor status (OR 2.34, 95% CI 1.08-5.08). Although our study suggests some correlations between the studied SNPs and the progression of breast cancer, the rarity of the risk genotypes limits their usefulness in the clinic.
Angiogenesis is an important step in the development of cancer. Vascular endothelial growth factor is a major regulator of breast cancer angiogenesis, the effects of which are transmitted through the kinase domain receptor (KDR). Up-regulation of KDR by periostin (POSTN) induces angiogenesis. We screened the KDR and the POSTN genes for published single nucleotide polymorphisms (SNPs) and chose two SNPs in each gene for further analyses. We carried out a case-control study consisting of 412 familial and 912 unselected breast cancer cases together with ethnically and geographically selected controls. Genotype, haplotype and genotype combination analyses were carried out to evaluate their effect on susceptibility to and prognosis of breast cancer. A haplotype in the POSTN gene was associated with an increased risk even after correction for multiple comparisons. Nominal associations between the SNPs and prognostic indicators were also observed. Tumors of the KDR 472His allele carriers were less often progesterone receptor negative according to both genotype and haplotype analyses (OR 0.61, 95%CI 0.40-0.92 and OR 0.60, 95%CI 0.40-0.91, respectively). The POSTN -33G allele carriers had more often high grade and estrogen receptor negative tumors (OR 1.75, 95%CI 1.02-3.01 and OR 1.70, 95%CI 1.04-2.78, respectively). The overall and cancer specific survival after 15 years of follow-up was more than 75%, and it did not depend on the genotype. Although a major effect of the SNPs in the KDR and the POSTN genes on breast cancer susceptibility and prognosis was excluded, the effect of the POSTN C-33G SNP on prognosis needs further characterization.
The human growth hormone receptor (GHR) mediates the effects of growth hormone (GH1), starting a signalling cascade that is involved in the regulation of proliferation, differentiation and apoptosis. Recently, an isoform of the GHR gene lacking exon 3 (GHRd3) was associated with accelerated responsiveness to growth hormone. In this study, we investigated the association of the GHRd3 polymorphism with breast cancer risk and performed a haplotype analysis with 3 additional single nucleotide polymorphisms (SNPs) (Gly186Gly, Cys440Phe and Ile544Leu) in the GHR coding region in a Polish cohort. We did not observe any effect of the 4 polymorphisms on breast cancer risk. Neither did the 3 most common haplotypes influence breast cancer risk. However, a rare haplotype (dGGC), containing the GHRd3 allele, was associated with a decreased breast cancer risk (OR 0.30, 95% CI 0.11-0.80).
The regulation of growth hormone 1 (GH1) and insulin-like-growth factor-1 (IGF-1) release is under the influence of three pituitary hormones [growth hormone releasing hormone (GHRH), ghrelin (GHRL) and somatostatin (SST)], which act in an autocrine/paracrine fashion in the breast. By binding to their respective receptors, they control cell proliferation, differentiation and apoptosis in a GH1/IGF-1-dependent manner. We investigated single nucleotide polymorphisms (SNPs) in the GHRH, GHRHR, GHRL, GHSR, SST and SSTR2 gene regions in a Polish and a German cohort of 798 breast cancer cases and 1011 controls. Our study revealed an association of a novel TC repeat polymorphism in the SST promoter with a decreased breast cancer risk in the Polish study population [odds ratio (OR), 0.65; 95% confidence interval (CI), 0.44-0.96]. The closely linked SNP IVS1 A+46G showed the same trend. For both polymorphisms the association was stronger in women above the age of 50 (OR, 0.33; 95% CI, 0.14-0.76 and OR, 0.39; 95% CI, 0.18-0.87, respectively). The protective effect of these polymorphisms was confirmed in a haplotype analysis among women above 50 years of age and carrying the two variant alleles (OR, 0.37; 95% CI, 0.17-0.80). In the independent German population, we observed slightly decreased ORs among women above the age of 50 years. In the SSTR2 gene, carriers of the promoter 21/21 TG repeat genotype were at a decreased breast cancer risk (OR, 0.62; 95% CI, 0.41-0.94) compared to carriers of the other genotypes in the Polish population. Furthermore, we identified a protective effect of the GHRHR C-261T SNP in both populations (joint analysis CT+TT versus CC: OR, 0.80; 95% CI, 0.65-0.99). This effect was carried by a haplotype containing the protective allele. Thus, our study concludes a possible protective influence of distinct polymorphisms in genes involved in GH1 release on breast cancer risk.
CONTEXT: The contribution of prolactin (PRL) through its receptor (PRLR) to the pathogenesis and progression of human mammary tumors has received recent attention. OBJECTIVE: We investigated whether genetic variation in the PRL and PRLR genes is associated with the risk of breast cancer (BC). DESIGN: We conducted a case-control study with a total of seven single nucleotide polymorphisms (SNPs). SETTING: The study was conducted at an academic research laboratory and university clinics. PATIENTS AND OTHER PARTICIPANTS: A total of 441 German familial, unrelated BC cases and 552 controls matched by age, ethnicity, and geographical region participated in the study. INTERVENTION(S): There were no interventions. MAIN OUTCOME MEASURES(S): SNP genotype and haplotype distributions and haplotype interactions were correlated with the risk of BC. RESULTS: Two SNPs (rs1341239 and rs12210179) within the PRL promoter regions were significantly associated with increased risk in homozygotes for the variant alleles [odds ratio (OR), 1.67 and 95% confidence interval (CI), 1.11-2.50; and OR, 2.09 and 95% CI, 1.23-3.52, respectively]. The PRL haplotype containing the variant alleles of the promoter SNPs increased significantly the risk of BC (OR 1.42, 95%CI 1.07-1.90). A PRLR haplotype was associated with a significant decrease in BC risk (OR 0.69, 95% CI 0.54-0.89). An increasing number of PRL and PRLR risk haplotypes led to a significant trend of increasing risk for BC (chi(2) = 12.15; P = 0.007). CONCLUSIONS: Genetic variation in the PRL and PRLR genes was shown to influence BC risk. Additional studies are needed to further clarify the role of the PRL and PRLR genes in the risk of BC.
The mouse double minute 2 (MDM2) oncoprotein promotes cell survival and cell cycle progression by inhibiting the p53 tumor suppressor protein. Further, MDM2 overexpression can inhibit DNA double-strand break repair in a p53-independent manner. Recently, it was shown that a single nucleotide polymorphism (SNP) in the MDM2 promoter was associated with an accelerated tumor formation in individuals with a p53 mutation. The present case-control study investigated the association of this SNP (IVS1+309) with the risk and the age of onset of familial breast cancer in patients with unknown p53 mutation status. Data from 549 women affected by familial breast cancer and 1,065 healthy controls were analyzed. The cases did not carry BRCA1/2 mutations. Cases and controls showed a similar genotype distribution and the SNP did not seem to modify the age of onset of familial breast cancer. The data were also examined taking into account the presence of any additional cancer after breast cancer and the family history of cases; however, no association was found. These results suggest that the SNP IVS1+309 alone affects neither the risk nor the age of onset of heritable breast cancer.
The Human Genome Project and the ensuing International HapMap Project were largely motivated by human health issues. But the distance from a DNA sequence variation to a novel disease gene is considerable; for complex diseases, closing this gap hinges on the premise that they arise mainly from heritable causes. Using cancer as an example of complex disease, we examine the scientific evidence for the hypothesis that human diseases result from interactions between genetic variants and the environment.
Single nucleotide polymorphisms (SNPs) are extensively used in case-control studies of practically all cancer types. In addition to the pure genetic studies, gene-environment studies, which simultaneously consider environmental factors, have been increasingly conducted. All SNP studies aim at the identification of the role of inherited cancer susceptibility genes. However, being genetic markers, they are applicable only on heritable conditions, which is often a neglected fact. Based on the data on the heritability of cancer and the importance of environmental factors in cancer etiology, we discuss the likelihood of successful gene-environment studies. The available evidence is not conclusive, but it consistently points to a minor heritable etiology in cancer, which will hamper the success of SNP-based association studies. We use simulation techniques to examine which situations would favor the application of a gene-environment approach instead of the traditional environmental approach in case-control studies. The results show that well-chosen candidate gene with a relatively low allele frequency may improve the power to detect environmental determinants of a disease. However, this advantage is lost when the number of underlying genes increases. We are concerned about an indiscriminate use of genetic tools for cancers, which are mainly environmental in origin. The likelihood of success for SNP-based gene-environment studies increases if established environmental risk factors are tested on proven candidate genes. Enhancing the likelihood that the disease causation is genetic, for example, by selecting familial cases, may increase the power of the studies, and the rareness of those cases calls for collaborative networks.
The analysis of short tandem repeats is a widely used method to estimate relatedness between closely related populations or individuals. The AmpFlSTR PCR Amplification Kit has 15 highly variable autosomal markers of tetranucleotide repeats and is principally made to identify individuals and first- or second-degree relatives. However, in many studies one is searching for individuals who are related through more than one generation. We wanted to test whether the amplification kit can also be used to identify more distantly related individuals. Therefore we compared 16 different methods that calculate genetic distance with regard to each method's ability to cluster more distantly related individuals from two test families. Among all the tested methods Nei et al.'s (1983) DA distance performed well in clustering family members within a group of unrelated individuals for a broad range of scenarios. However, second-degree relatives were difficult to cluster with any of the examined methods when other family members were absent. With a simulation we further estimated how many markers would actually be needed to detect a certain degree of relatedness. According to this simulation, one would need at least 123 independent microsatellite markers to detect third-degree relatives with 90% probability. In conclusion, the 15 STR markers in the amplification kit are suitable for detecting only very closely related individuals or entire families.
c-MYC is a multifaceted protein that regulates cell proliferation, differentiation and apoptosis. Its crucial role in diverse cancers has been demonstrated in several studies. Here, we analysed the influence of the rare c-MYC Asn11Ser polymorphism on familial breast cancer risk by performing a case-control study with a Polish (cases n = 349; controls n = 441) and a German (cases n = 356; controls n = 655) study population. All cases have been tested negative for mutations in the BRCA1 and BRCA2 genes. A joint analysis of the Polish and the German study population revealed a 54% increased risk for breast cancer associated with the heterozygous Asn11Ser variant (OR = 1.54, 95% CI 1.05-2.26, p = 0.028). The breast cancer risk associated with this genotype increases above the age of 50 years (OR = 2.24, 95% CI 1.20-4.21, p = 0.012). The wild-type amino acid Asn of this polymorphism is located in the N-terminal MYC transactivation domain and is highly conserved not only among most diverse species but also in the N-MYC homologue. Due to the pivotal role of c-MYC in diverse tumours, this variant might affect the genetic susceptibility of other cancers as well.
PURPOSE: Angiogenesis is a necessary step in tumor growth and metastasis. Vascular endothelial growth factor (VEGF) is a major mediator of breast cancer angiogenesis. Therefore, we investigated the association of polymorphisms in the VEGF gene with breast cancer risk and prognostic characteristics of the tumors in a large case-control study. EXPERIMENTAL DESIGN: We examined three polymorphisms in the VEGF gene (-2578C/A, -1154G/A, and +936C/T) in 571 familial breast cancer cases from Poland and Germany and -2578C/A, -634G/C, and +936C/T polymorphisms in 974 unselected breast cancer cases from Sweden together with ethnically and geographically selected controls. RESULTS: None of the polymorphisms or any haplotype was significantly associated with either familial or unselected breast cancers. Our study suggests that the +936C/T polymorphism is unlikely to be associated with breast cancer. We also analyzed the unselected cases for genotypes or haplotypes that associated with tumor characteristics. The -634CC genotype and the -2578/-634 CC haplotype were significantly associated with high tumor aggressiveness (large tumor size and high histologic grade, P < 0.01) and the -2578AA genotype and the -2578/-634 AG haplotype with low histologic grade tumors (P = 0.04). The genotypes and haplotypes were not related with other tumor characteristics such as regional or distant metastasis, stage at diagnosis, or estrogen or progesterone receptor status. CONCLUSIONS: Although none of the polymorphisms studied in the VEGF gene was found to influence susceptibility to breast cancer significantly, some of the VEGF genotypes and haplotypes may influence tumor growth through an altered expression of VEGF and tumor angiogenesis.
Basal cell carcinoma (BCC) is one of the most common neoplasms in the world and its incidence has been increasing worldwide in recent years. BCCs are caused by an interplay between genetic and environment factors. We conducted a case-control association study in BCC patients and controls from Sweden and Finland. Fifteen single nucleotide polymorphisms (SNPs), IL-6-174G/C, -634G/C, and -597G/A; IL-10-1082G/A and -592C/A; IL-1beta-511C/T; NBS1 exon 5 Glu185Gln; XPC exon 15 Lys939Gln; XPD exon 23 Lys751Gln; XRCC1 exon 10 Arg399Gln; XRCC3 exon 7 Thr241Met; cyclin D1 exon 4 G870A; MTHFR exon 4 Ala222Val and exon 7 Glu429Ala; HFE exon 4 C282Y were performed by Pyrosequencing and RFLP techniques. Most of the genotype distributions were in accordance with the Hardy-Weinberg equilibrium (HWE), except for IL-10-1082G/A, where cases with BCC showed a significant deviation from HWE (P = 0.04). Linkage disequilibrium was observed between the -174 and -597 alleles in the IL-6 gene in the present populations. No difference between BCC and controls appeared in any of the SNPs analyzed. Only the combined distributions of TT/AA genotypes in MTHFR exon 4 (C/T) and exon 7 (A/C) showed slight increase in BCC compared to controls (P < 0.07, OR: 1.94; 95% CI: 0.96-3.89).
The nuclear receptor coactivator 3 (NCOA3, also known as AIB1) is a coactivator of nuclear receptors like the estrogen receptor. NCOA3 is overexpressed in approximately 60% of primary human breast tumors, and high levels of NCOA3 expression are associated with tamoxifen resistance and worse survival rate. In contrast, NCOA3 deficiency suppresses v-Ha-ras-induced breast cancer initiation and progression in mice. Here, we analyzed the influence of NCOA3 coding single nucleotide polymorphisms on breast cancer risk by performing a case-control study using a German and a Polish study population and identified an association between NCOA3 polymorphisms and breast cancer. A joint analysis of the German and the Polish study population revealed a significant protective effect for the 1758G>C (Q586H) and 2880A>G (T960T) variants. In addition, haplotype analysis showed a protective effect of the 1758C-2880A and 1758G-2880G haplotypes (odds ratio 0.79; 95% confidence interval, 0.67-0.93; P = 0.004). Because of the impact of NCOA3 in antiestrogen therapy resistance, these polymorphisms might also influence therapy outcome in breast cancer.
Single nucleotide polymorphisms (SNPs) are extensively used in case-control studies of practically all cancer types. They are used for the identification of inherited cancer susceptibility genes and those that may interact with environmental factors. However, being genetic markers, they are applicable only on heritable conditions, which is often a neglected fact. Based on the data in the nationwide Swedish Family-Cancer Database, we review familial risks for all main cancers and discuss the evidence for a heritable component in cancer. The available evidence is not conclusive but it is consistent in pointing to a minor heritable etiology in cancer, which will hamper the success of SNP-based association studies. Empirical familial risks should be used as guidance for the planning of SNP studies. We provide calculations for the assessment of familial risks for assumed allele frequencies and gene effects (odds ratios) for different modes of inheritance. Based on these data, we discuss the gene effects that could account for the unexplained proportion of familial breast and lung cancer. As a conclusion, we are concerned about the indiscriminate use of a genetic tool to cancers, which are mainly environmental in origin. We consider the likelihood of a successful application of SNPs in gene-environment studies small, unless established environmental risk factors are tested on proven candidate genes.
Explore the source record for details and available documents.
Binding of IGF-1 to the type I IGF receptor starts a signalling cascade that plays an important role in regulating cell proliferation, differentiation and apoptosis. The interaction between the IGF-1 and its receptor is mainly regulated by a binding protein, IGFBP 3. We studied a CA repeat polymorphism 969 bp upstream of the transcription start site in the IGF-1 gene and an A-202 C polymorphism in the IGFBP 3 gene and tested their association with breast cancer risk using four case-control series with a total of 787 cases and 900 controls. We did not find any association between the breast cancer risk and the IGF-1 repeat length (19 versus non-19) or the IGFBP 3 A-202 C polymorphism in the postmenopausal breast cancer series or in women diagnosed for breast cancer under the age of 50. In the familial breast cancer series we observed a non-significantly increased odds-ratio (OR) in homozygotes for the non-19 alleles of the IGF-1 gene (OR 1.51, 95% CI 0.96-2.39, p=0.07). Similarly, in the familial breast cancer series we detected an increased frequency of the IGFBP 3 -202 C allele carriers (OR 1.50, 95% CI 1.05--2.14, p=0.03). The association was stronger in individuals homozygous for these alleles (OR 3.76, 95% CI 1.44-v-9.81, p=0.006). Thus, the polymorphisms in the IGF-1 and IGFBP 3 genes associated with an increased risk of breast cancer in familial cases carrying the variant alleles.