No abstract

The specific mechanism by which low-risk genetic variants confer breast cancer risk is currently unclear, with contradictory evidence on the role of single nucleotide polymorphisms (SNPs) in TOX3/LOC643714 as a breast cancer susceptibility locus. Investigations of this locus using a Chinese population may indicate whether the findings initially identified in a European population are generalizable to other populations, and may provide new insight into the role of genetic variants in the etiology of breast cancer. In this case-control study, 623 Chinese female breast cancer patients and 620 cancer-free controls were recruited to investigate the role of five SNPs in TOX3/LOC643714 (rs8051542, rs12443621, rs3803662, rs4784227, and rs3112612); Linkage disequilibrium (LD) pattern analysis was performed. Additionally, we evaluated how these common SNPs influence the risk of specific types of breast cancer, as defined by estrogen receptor (ER) status, progesterone receptor (PR) status and human epidermal growth factor receptor 2 (HER2) status. Significant associations with breast cancer risk were observed for rs4784227 and rs8051542 with odds ratios (OR) of 1.31 ((95% confidence intervals (CI), 1.10–1.57)) and 1.26 (95% CI, 1.02–1.56), respectively, per T allele. The T-rs8051542 allele was significantly associated with ER-positive and HER2-negative carriers. No significant association existed between rs12443621, rs3803662, and rs3112612 polymorphisms and risk of breast cancer. Our results support the hypothesis that the applicability of a common susceptibility locus must be confirmed among genetically different populations, which may together explain an appreciable fraction of the genetic etiology of breast cancer.

ABSTRACT. Patterns of DNA methylation are established and maintained by a family of DNA methyltransferases (DNMTs). Aberrant promoter DNA methylation of tumor suppressor genes is found in breast cancer. Association studies between DNMT gene polymorphisms and breast cancer in various populations have reported inconsistent results. This study assessed the associations of single nucleotide polymorphisms (SNPs) in DNMT1, DNMT3A, DNMT3B, DNMT3L, and DNMT2 with breast cancer among Han Chinese women from South China. Sixteen SNPs (rs2114724, rs2228611, rs2228612, rs8101866, and rs16999593 in DNMT1; rs13420827, rs11887120, rs13428812, rs1550117, rs11695471, and rs6733301 in DNMT3A; rs2424908, rs2424913, and rs6087990 in DNMT3B; rs113593938 in DNMT3L, and rs11254413 in DNMT2) in 408 women with breast cancer and 469 controls were genotyped using a MassARRAY matrix-assisted laser desorption/ ionization time-of-flight mass spectrometry platform. Two SNPs, Polymorphisms of DNMT1 and DNMT3B and breast cancer risk rs16999593 in DNMT1 and rs2424908 in DNMT3B, were significantly associated with breast cancer risk. The heterozygous genotype CT of rs16999593 was associated with increased breast cancer risk [odds ratio (OR) = 1.60; 95% confidence interval (95%CI) = 1.20-2.14; P = 0.0052], whereas rs2424908 was associated with decreased risk (OR = 0.62; 95%CI = 0.46-0.84; P = 0.0061). Other DNMT polymorphisms showed no significant associations with breast cancer risk in the study population. Haplotype CGTC of rs2114724, rs2228611, rs8101866, and rs16999593 in DNMT1 differed significantly as a risk factor between the case and control groups (OR = 1.51; 95%CI = 1.18-1.93; P = 0.0012). The heterozygous genotypes of rs16999593 in DNMT1 and rs2424908 in DNMT3B were strongly associated with breast cancer risk.

Recently, a genome-wide association study of gastric cancer (GC) reported the significant association of seven genetic variants (rs4072037 and rs4460629 on 1q22; rs753724, rs11187842, rs3765524, rs2274223, and rs3781264 on 10q23) with GC in a Chinese population. These findings were confirmed in a subsequent independent study. However, it remains unknown whether these loci are associated with an increased risk of colorectal cancer (CRC). This study was to test whether the seven single nucleotide polymorphisms (SNPs) associated with GC were also associated with CRC in a Chinese population. The seven SNPs were genotyped using MassARRAY system. Allelic, genotypic, and haplotypic associations of the SNPs with CRC were investigated using χ(2) tests and logistic regression analysis. The SNPs rs3765524 and rs2274223, located on 10q23, were found to have significant protective effects against CRC, with equal odds ratios per allele. The two SNPs located on 1q22 (rs4072037 and rs4460629) showed a weak association with CRC. No significant association was identified with CRC for the remaining three SNPs located on 10q23 (rs753724, rs11187842, and rs3781264). These results suggest that rs3765524 and rs2274223 on 10q23 are associated with a protective effect against CRC in a Chinese population.

SMAD7 has been demonstrated to antagonize TGF-β-mediated fibrosis, carcinogenesis, and inflammation. Two previous genome-wide association studies identified three single nucleotide polymorphisms (SNPs) (rs4939827, rs12953717 and rs4464148) in SMAD7 to be associated with colorectal cancer in a Western population. We conducted the first case-control study in a Han Chinese population to explore the associations between these three SNPs and colorectal, gastric, and lung cancers. Of the three SNPs, only rs12953717 was strongly associated with the three types of cancer, fitting the overdominant model. Compared with the CC/TT (CC combined with TT) genotype, the adjusted odds ratios for the CT genotype were 2.002 (95% CI, 1.250-3.207, P = 0.004), 1.678 (95% CI, 1.048-2.689, P = 0.031), 3.825 (95% CI, 2.310-6.335, P < 1 × 10(-4)), and 2.294 (95% CI, 1.537-3.343, P < 1 × 10(-4)), respectively, for colorectal, gastric, lung, and combined cancers. These outcomes suggest that rs12953717 is a common risk marker of these three types of cancer in the Han Chinese.

Exposure to high levels of estrogen is considered an important risk factor for susceptibility to breast cancer. Common polymorphisms in genes that affect estrogen levels may be associated with breast cancer risk, but no comprehensive study has been performed among Han Chinese women. In the present study, 32 single-nucleotide polymorphisms (SNPs) in estrogen-related genes were genotyped using the MassARRAY IPLEX platform in 1076 Han Chinese women. Genotypic and allelic frequencies were compared between case and control groups. Unconditional logistic regression was used to assess the effects of SNPs on breast cancer risk. Associations were also evaluated for breast cancer subtypes stratified by estrogen receptor (ER) and progesterone receptor (PR) status. Case-control analysis showed a significant relation between heterozygous genotypes of rs700519 and rs2069522 and breast cancer risk (OR = 0.723, 95% CI = 0.541–0.965, p = 0.028 and OR = 1.500, 95% CI = 1.078–2.087, p = 0.016, respectively). Subgroup comparisons revealed that rs2446405 and rs17268974 were related to ER status, and rs130021 was associated with PR status. Our findings suggest that rs700519 and rs2069522 are associated with susceptibility to breast cancer among the Han Chinese population and have a cumulative effect with three other identified SNPs. Further genetic and functional studies are needed to identify additional SNPs, and to elucidate the underlying molecular mechanisms.

GWAS have identified variation in the FGFR2 locus as risk factors for breast cancer. Validation studies, however, have shown inconsistent results by ethnics and pathological characteristics. To further explore this inconsistency and investigate the associations of FGFR2 variants with breast cancer according to intrinsic subtype (Luminal-A, Luminal-B, ER−&PR−&HER2+, and triple negative) among Southern Han Chinese women, we genotyped rs1078806, rs1219648, rs2420946, rs2981579, and rs2981582 polymorphisms in 609 patients and 882 controls. Significant associations with breast cancer risk were observed for rs2420946, rs2981579, and rs2981582 with OR (95% CI) per risk allele of 1.19 (1.03–1.39), 1.24 (1.07–1.43), and 1.17 (1.01–1.36), respectively. In subtype specific analysis, above three SNPs were significantly associated with increased Luminal-A risk in a dose-dependent manner (P trend < 0.01); however, only rs2981579 was associated with Luminal-B, and none were linked to ER−&PR− subtypes (ER−&PR−&HER2+ and triple negative). Haplotype analyses also identified common haplotypes significantly associated with luminal-like subtypes (Luminal-A and Luminal-B), but not with ER−&PR− subtypes. Our results suggest that associations of FGFR2 SNPs with breast cancer were heterogeneous according to intrinsic subtype. Future studies stratifying patients by their intrinsic subtypes will provide new insights into the complex genetic mechanisms underlying breast cancer.

Super-enhancers (SEs) are enriched with a cluster of mediator binding sites, which are major contributors to cell-type-specific gene expression. Currently, a large quantity of long non-coding RNAs has been found to be transcribed from or to interact with SEs, which constitute super-enhancer associated long non-coding RNAs (SE-lncRNAs). These SE-lncRNAs play essential roles in transcriptional regulation through controlling SEs activity to regulate a broad range of physiological and pathological processes, especially tumorigenesis. However, the pathological functions of SE-lncRNAs in tumorigenesis are still obscure. In this paper, we characterized 5056 SE-lncRNAs and their associated genes by analysing 102 SE data sets. Then, we analysed their expression profiles and prognostic information derived from 19 cancer types to identify cancer-related SE-lncRNAs and to explore their potential functions. In total, 436 significantly differentially expressed SE-lncRNAs and 2035 SE-lncRNAs with high prognostic values were identified. Additionally, 3935 significant correlations between SE-lncRNAs and their regulatory genes were further validated by calculating their correlation coefficients in each cancer type. Finally, the SELER database incorporating the aforementioned data was provided for users to explore their physiological and pathological functions to comprehensively understand the blocks of living systems.