Polymorphisms in BRCA1, BRCA1-interacting genes and susceptibility of breast cancer in Chinese women

Screening of Germline BRCA1 and BRCA2 Variants in Nigerian Breast Cancer Patients

BackgroundBreast cancer remains a leading cause of mortality among Nigerian women, with triple-negative breast cancer (TNBC) being particularly prevalent. Variations in BRCA1 and BRCA2 genes remain key risk factors for this disease. However, there are gaps in the frequency and spectrum of these variants in Nigerian populations, as well as a dearth in the local capacity to characterize these variations.ObjectiveThis study aimed at identifying and characterizing the germline variations in BRCA1/2 in Nigerian breast cancer patients and healthy age-matched controls to understand the genetic risk profile of breast cancer in this population.MethodsA prospective case-control study was conducted involving 45 breast cancer patients and 51 controls recruited from four major hospitals. DNA was extracted from blood samples, followed by targeted sequencing of BRCA1/2 exonic and intronic regions using the Ampliseq BRCA panel and Illumina MiSeq platform. Variant calling was performed, clinical significance was evaluated on ClinVar and BRCA Exchange databases, and haplotype analysis was performed using NIH LDlink and Haploview 4.2 software.ResultsPathogenic BRCA1/2 variants were identified in 6.7% of breast cancer patients, all with TNBC and a family history of cancer. Two pathogenic BRCA1 variants were detected: a frameshift deletion BRCA1 c.133_134delAA (p.Lys45 fs) (rs397508857) and a missense variant BRCA1 c.5324T > A (p.Met1775Arg) (rs41293463). A BRCA2 frameshift deletion BRCA2 c.8817_8820del (p.Lys2939 fs) (rs397508010) was also identified. These variants were absent in controls. Haplotype analysis revealed distinct BRCA1 and BRCA2 haplotypes in the breast cancer group.ConclusionThis study identifies key BRCA1/2 pathogenic variants and unique haplotypes in Nigerian breast cancer patients, highlighting the need for population-specific genetic screening. Integrating genetic testing into breast cancer management strategies could facilitate early detection, personalized treatment planning, and genetic counseling in Nigeria.

The role of zinc finger proteins in malignant tumors

Zinc finger proteins (ZNFs) are the largest family of transcriptional factors in mammalian cells. Recently, their role in the development, progression, and metastasis of malignant tumors via regulating gene transcription and translation processes has become evident. Besides, their possible involvement in drug resistance has also been found, indicating that ZNFs have the potential to become new biological markers and therapeutic targets. In this review, we summarize the oncogenic and suppressive roles of various ZNFs in malignant tumors, including lung, breast, liver, gastric, colorectal, pancreatic, and other cancers, highlighting their role as prognostic markers, and hopefully provide new ideas for the treatment of malignant tumors in the future.

Genetic interactions effects for cancer disease identification using computational models: a review

Genome-wide association studies (GWAS) provide clear insight into understanding genetic variations and environmental influences responsible for various human diseases. Cancer identification through genetic interactions (epistasis) is one of the significant ongoing researches in GWAS. The growth of the cancer cell emerges from multi-locus as well as complex genetic interaction. It is impractical for the physician to detect cancer via manual examination of SNPs interaction. Due to its importance, several computational approaches have been modeled to infer epistasis effects. This article includes a comprehensive and multifaceted review of all relevant genetic studies published between 2001 and 2020. In this contemporary review, various computational methods are as follows: multifactor dimensionality reduction-based approaches, statistical strategies, machine learning, and optimization-based techniques are carefully reviewed and presented with their evaluation results. Moreover, these computational approaches' strengths and limitations are described. The issues behind the computational methods for identifying the cancer disease through genetic interactions and the various evaluation parameters used by researchers have been analyzed. This review is highly beneficial for researchers and medical professionals to learn techniques adapted to discover the epistasis and aids to design novel automatic epistasis detection systems with strong robustness and maximum efficiency to address the different research problems in finding practical solutions effectively.

Two tSNPs in BRIP1 are associated with breast cancer during TDT analysis

Objectives

This study aimed to investigate and confirm the association between 15 single nucleotide polymorphisms of four susceptibility genes (NBS1, TP53, PTEN, and BRIP1) and the susceptibility of breast cancer.

Methods

The genome DNA was extracted from peripheral blood and tumor tissues from one hundred and seventeen core families. 15 SNPs were detected by PCR. The transmission disequilibrium test (TDT) and the Hardy–Weinberg equilibrium (HWE) are used to verify the association between these SNPs and breast cancer. Further correlation between SNPs and certain pathological features of the tumor, including tumor size, location of lymph nodes, pathologic classification, and the stage and subtype of breast cancer, are analyzed by the chi‐square test and logistic regression analysis.

Results

Based on TDTs, two SNPs of rs7220719 and rs11871753 in BRIP1 showed a significant association with breast cancer, while the other 13 selected SNPs did not. However, further statistical analysis demonstrated no obvious differentiation in the clinical characteristics of breast cancer between 37 patients with rs7220719 and 80 patients with wild types. Similar results were also found for rs11871753.

Conclusions

The data provided the evidence for the association between two SNPs of BRIP1 and breast cancer, but did not affect certain clinical phenotypes.

Screening of BRCA1 variants c.190T>C, 1307delT, g.5331G>A and c.2612C>T in breast cancer patients from North India

The polymorphic variants of BRCA1, which lead to amino acid substitutions, have a known pathogenic role in breast cancer. The present study investigated in North Indian breast cancer patients the association of risk with four reported pathogenic variants of BRCA1: c.190T>C (p.Cys64Arg), 1307delT, g.5331G>A (p.G1738R) and c.2612C>T (p.Pro871Leu). Genotyping was done by PCR-RFLP method in 255 clinically confirmed breast cancer patients and 255 age and gender matched healthy individuals. For c.190T>C, 1307delT and g.5331G>A, all the patients and controls had the wild-type genotype indicating no association with breast cancer risk. For c.2612C>T polymorphism, the frequency of the CC, CT, and TT genotypes was 14.5 vs 15.7%, 59.6 vs 53.7% and 25.9 vs 30.6% in breast cancer patients and controls respectively. The frequency of heterozygotes (CT genotype) was higher in cases than controls but the difference was not statistically significant. Genetic model analysis showed no association of the four analyzed BRCA1 variants with breast cancer risk with any model. The studied variants were not associated with the risk of breast cancer in Punjab, North west India, suggesting a need for further screening of other BRCA1 variants. It is the first reported study on these 4 variants from India.

Association between BRCA1 polymorphisms rs799917 and rs1799966 and breast cancer risk: a meta-analysis

Background

Several studies have reported correlations between BRCA1 polymorphisms rs799917 and rs1799966 with the risk of breast cancer (BC). However, this relationship remains controversial.

Methods

We conducted a meta-analysis of seven studies to assess the associations between BRCA1 rs799917 and rs1799966 and BC risk, with the aim of more accurately determining the potential correlation. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated to evaluate the correlation of rs799917 and rs1799966 with BC risk.

Results

There was no overall correlation between BRCA1 rs799917 and BC risk (TT vs CC: OR = 0.87, 95% CI = 0.66–1.16; CT vs CC: OR = 1.02, 95% CI = 0.89–1.15; dominant model: OR = 0.99, 95% CI = 0.88–1.11; recessive model: OR = 0.87, 95% CI = 0.65–1.16). Subgroup analysis by ethnicity also revealed no significant correlation between rs799917 and BC risk in either Asians or Caucasians. There was also no significant association between BRCA1 rs1799966 and BC risk (GG vs AA: OR = 0.70, 95% CI = 0.33–1.47; AG vs AA: OR = 0.68, 95% CI = 0.35–1.30; dominant model: OR = 0.76, 95% CI = 0.49–1.06; recessive model: OR = 0.82, 95% CI = 0.49–1.36).

Conclusion

BRCA1polymorphisms rs799917 and rs1799966 were not significantly associated with BC risk in this meta-analysis.

Genetic Variants Associated with Clinicopathological Profiles in Sporadic Breast Cancer in Sri Lankan Women

PURPOSE

Several single nucleotide polymorphisms (SNPs) have been reported to be associated with clinicopathological profiles in sporadic breast cancer based on studies conducted on major population groups. The knowledge of the effects of these common genetic variants in South Asian populations remains limited. The present study aimed to investigate the association between a selected set of SNPs and the clinicopathological profiles in sporadic breast cancer in Sri Lankan women.

METHODS

A total of 350 postmenopausal women with histologically confirmed invasive breast cancer were genotyped for 58 SNPs located in 36 breast cancer related genes. The clinicopathological factors that were investigated included age of onset, tumor histologic grade, and lymph node involvement, as well as estrogen receptor (ER), progesterone receptor, and human epidermal growth factor receptor 2 (HER2) status. Association testing was performed using logistic regression models adjusted for confounding factors.

RESULTS

Seven SNPs showed significant associations with clinicopathological profiles in breast cancer. The G allele of BRCA1:rs799917 (p=0.047; β [standard error; SE]=-1.069 [0.537]) and the G allele of NQO2:rs17136117 (p=0.040, β [SE]=1.901 [0.923]) were found to be associated with age of onset between 50 and 59 years. The C allele of CDH1:rs13689 (odds ratio [OR], 2.121; p=0.033) was found to be associated with ER-positive breast cancer. The A allele of AKT1:rs1130214 (OR, 2.095; p=0.011) and the C allele of NQO2:rs2071002 (OR, 1.632; p=0.045) were associated with HER2-positive breast cancer. The C allele of BRCA2:rs15869 (OR, 1.600; p=0.041) and the C allele of CCND1:rs7177 (OR, 1.555; p=0.041) were associated with high tumor histologic grade.

CONCLUSION

The common genetic variants identified in the AKT1, BRCA1, BRCA2, CCND1, CDH1, and NQO2 genes could serve as potential clinical and prognostic biomarkers in sporadic breast cancer patients. Further studies are required to validate our current findings in other populations.

Functional Evaluation of ZNF350 Missense Genetic Variants Associated with Breast Cancer Susceptibility

ZNF350, a BRCA1-interacting protein, could mediate BRCA1-induced sequence-specific transcriptional repression of several genes, including GADD45α. As a potential breast cancer susceptibility gene, single nucleotide polymorphisms (SNPs), especially missense SNPs, may influence the transcriptional repression of its target tumor suppressor genes and individuals' breast cancer risk. Using the gene-based haplotype-tagging SNPs strategy, we evaluated the association between six ZNF350 polymorphisms and breast cancer risk in a case-control set from a northern Chinese population. The impact of ZNF350 variations on transcriptional repression of GADD45α was also examined. It was found that ZNF350 rs2278420 (L66P) and rs2278415 (S501R) missense genetic variants are in complete linkage disequilibrium and have a significant impact on inter-individual susceptibility to breast cancer. Additionally, ZNF350 GGCGT or GGCGC haplotype is also associated with a significantly increased breast cancer risk compared with the GGCAC haplotype. ZNF350 L66P variant modifies the risk of breast cancer not only by itself but also in a gene-environment interaction manner with age, age at menarche, menopause status, or estrogen receptor status. Interestingly, we observed that ZNF350 L66P and S501R SNPs could weaken the capability of ZNF350-mediated GADD45α transcription repression and it may be an underlying mechanism of the observed epidemiological associations. Our results highlight ZNF350 as an important gene in human mammary oncogenesis and ZNF350 missense genetic polymorphisms confer susceptibility to breast cancer.

A Germline Mutation in the BRCA1 3’UTR Variant Predicts Susceptibility to Breast Cancer in a Saudi Arabian Population

Purpose:

The impact of the BRCA1-3’UTR-variant on BRCA1 gene expression and altered responses to external stimuli was previously tested in vitro using a luciferase reporter assay. Its ability to predict breast cancer risk in women was also assessed but the conclusions were inconsistent. The present study concerns the relationship between the BRCA1-3’UTR germline variant rs8176318G>T and susceptibility to Breast cancer in an ethnic population of Saudi Arabia.

Methodology:

The study included 100 breast cancer patients and 100 sex matched healthy controls from the northwestern region (Tabuk) and Dammam of Saudi Arabia were investigated for the BRCA1-3’UTR germline variant rs8176318G>T using an allele specific PCR technique. Genotype distributions were then compared.

Results:

The frequencies of the three genotypes GG, TT and GT in our Saudi Arabian patients were 26%, 8% and 66% and in healthy controls were 45%, 5% and 50%, respectively (p=0.03). Risk of developing breast cancer was found to be significantly associated with the GT variant (OR 2.28, 1.24-4.191; RR 1.47, 1.11-1.93; P=0.007), GT+TT (OR, 2.32, 1.28-4.22; RR 1.48, 1.13-1.94; P=0.005) and the T allele (OR 1.62, 1.072- 2.45; RR 1.28, 1.02-1.60: P=0.020). There were 2.76 and 2.28 fold increase risks of developing breast cancer associated with the TT and GT genotypes in our cases. A significant correlation was also found between the BRCA1 3’UTR variants with the stage of the disease and distant metastasis but not with age, grade, and ER, PR and her2/neu status.

Conclusion :

The rs8176318G/T in the 3’untranslated region (UTR) of the BRCA1 gene was found to be associatedwith increased susceptibility to breast cancer in our study population, increased risk being noted with the GT and TT genotypes. Further association studies are needed to confirm this finding in other regions of Saudi Arabia.

Four common polymorphisms of BRIP1 (rs2048718, rs4988344, rs4986764, and rs6504074) and cancer risk: evidence from 13,716 cancer patients and 15,590 cancer-free controls

Previous studies have showed the associations between various BRCA1-interacting protein 1 (BRIP1) polymorphisms and cancer risk. But, these results were inconsistent. This meta-analysis based on 18 studies involving 13,716 cancer patients and 15,590 cancer-free controls is aimed at to evaluate the relationship between the four common SNPs of BRIP1 (rs2048718, rs4988344, rs4986764, and rs6504074) and cancer risk. The results showed a decreased risk of rs2048718 or rs4986764 for cervical cancer rather than breast cancer in the overall population (P < 0.05). However, rs6504074 was associated with gynecologic cancer risk among overall population (P < 0.05). Further stratification analyses by ethnicity indicated that all 4 polymorphisms (rs2048718, rs4988344, rs4986764, and rs6504074) were strongly related to cancer susceptibility in Chinese people (P < 0.05). This meta-analysis showed that rs6504074 may play a decreased risk of gynecologic cancer in the overall population. Rs4988344, rs4986764, and rs6504074 were significantly related to decreasing cancer risk in Chinese population.

The association between BRCA1 gene polymorphism and cancer risk: a meta-analysis

Many studies have reported that BRCA1 polymorphisms are associated with cancer risk, but the results remain controversial. The purpose of this meta-analysis is to evaluate the relationship between BRCA1 polymorphisms (rs799917, rs1799950, rs1799966, or rs16941) and cancer risk. Relevant studies were identified via a systematic search of the PubMed, Embase, and Web of Science databases up to July 31, 2017. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to examine the strength of the associations. Thirty-five studies published in 19 publications involving 28,094 cases and 50,657 controls were included in this meta-analysis. There was no obvious association between rs799917, rs1799966, or rs16941 polymorphisms and overall cancer risk in any genetic models. However, subgroup analyses revealed that the rs799917 polymorphism could decrease the risk of cervical cancer, esophageal squamous cell carcinoma (ESCC), gastric cancer, and non-Hodgkin lymphoma (NHL) among Asian populations in one or more genetic models and that rs16941 could increase overall cancer risk among Caucasian populations in the homozygote and recessive models. Our meta-analysis also indicated that rs1799950 could decrease the breast cancer (BC) risk among Caucasian populations in the homozygote and recessive models. In summary, our results suggest that BRCA1 polymorphisms may play an important role in the etiology of cancer. However, due to the limited number of studies, these findings should be confirmed by new studies with larger sample sizes that address various types of cancer.

Five zinc finger protein 350 single nucleotide polymorphisms and the risks of breast cancer: a meta-analysis

Some studies have reported an association between the zinc-finger protein 350 (ZNF350), also known as zinc-finger and BRCA1-interacting protein with a Kruppel-associated box (KRAB) domain (ZBRK1), and risks of breast cancer, although the results remain controversial. A systematic search was conducted on PubMed, Web of Science, EMBASE, Ovid, Chinese National Knowledge Databases, and WanFang databases with relevant keywords. Four studies of five distinct populations involving 5824 breast cancer cases were used to conduct a meta-analysis that summarizes the current evidence of 5 genetic polymorphisms: Asp35Asp, Leu66Pro, Pro373Pro, Ser472Pro, and Ser501Arg in the ZNF350 gene. The T allele in Asp35Asp polymorphisms not significantly associated with increased risk of breast cancer (OR: 1.08; 95% CI: 0.96–1.21). The minor C allele of the Asp35Asp polymorphism is protective in the overdominant model (OR = 1.14; 95% CI: 1.02–1.28). The Pro allele in the Leu66Pro polymorphism is protective in all of the models examined (allelic, dominant, recessive, and overdominant). The Pro373Pro is not associated with breast cancer in all of the models tested. The Pro allele of the Ser472Pro polymorphism is protective using the dominant model (OR = 0.10; 95% CI: 0.04–0.23) but deleterious using the overdominant model (OR = 1.14; 95% CI: 1.02–1.28). The Ser501Arg polymorphism is deleterious only when using the recessive model (OR = 1.21; 95% CI: 1.02–1.44). In conclusion, this meta-analysis suggests that genetic polymorphisms in the ZNF350 variant can increase, decrease, or have no effect on the risks of breast cancer depending on the polymorphism and genetic model used. Further studies will be required to validate these findings.

Association between BRCA1 P871L polymorphism and cancer risk: evidence from a meta-analysis

Breast cancer 1 (BRCA1) gene makes great contributions to the repair of DNA. The association between BRCA1 P871L polymorphism and cancer risk has been investigated in a growing number of studies, but the conclusions are not conclusive. To obtain a comprehensive conclusion, we performed a meta-analysis of 24 studies with 13762 cases and 22388 controls. The pooled results indicated that BRCA1 gene P871L variant decreased risk of overall cancer (homozygous model: odds ratio (OR) = 0.89, 95%confidence interval (CI) = 0.79-1.00; recessive model: OR = 0.89, 95% CI = 0.80-0.99). The stratified analysis observed decreased risk associated with BRCA1 P871L in subgroups among Asians and high score studies, but not Caucasians or low score studies. In conclusion, despite several limitations, this meta-analysis suggested that BRCA1 P871L genetic variation may be associated with decreased susceptibility to cancer.

Identification and frequency of the rs12516 and rs8176318 BRCA1 gene polymorphisms among different populations

Genetic mutation of breast cancer 1 (BRCA1) is one of the most notable factors responsible for a proportion of breast cancer cases. BRCA1 encodes a 1,863-amino acid protein and functions as a negative regulator of tumor growth. Thus, investigation of the underlying mechanisms that regulate BRCA1 gene expression provide further insight into possible targets for breast cancer therapy. Previous studies have demonstrated that the genetic variants in the BRCA1 3' untranslated region (3'UTR), in addition to the cytosine-phosphate-guanine (CpG) islands in the promoter region, are significantly associated with breast cancer risk; however, the role of single nucleotide polymorphisms (SNPs) in the BRCA1 3'UTR remains unclear. The present study aimed to investigate the association between SNPs and BRCA1 mRNA expression levels. Bioinformatics analysis demonstrated that 2 SNPs in the BRCA1 3'UTR (rs12516 and rs8176318 with putative microRNA binding sites) were significantly correlated with mRNA expression in lymphoblastoid cell lines (P=2.55×10-4 and P=8.78×10^-5, respectively). Furthermore, the genotype frequency distribution varied between populations worldwide. In addition, 3 CpG islands and several transcription factor binding sites in the BRCA1 promoter region were established. The identification of such polymorphisms and CpG islands may aid in designing improved therapeutic strategies to treat patients with BRCA1-associated breast cancer.

Note of clarification of data in the paper entitled association between BRIP1 (BACH1) polymorphisms and breast cancer risk

With great interest, we read the recent article entitled "Association between BRIP1 (BACH1) polymorphisms and breast cancer risk: a meta-analysis" published online in Pabalan et al. (Breast Cancer Res Treat 137:553-558, 2013). This article suggests that overall summary estimates imply no associations but suggest susceptibility among carriers of the C47G polymorphism and Pro-Ser genotype in premenopausal women. The result is encouraging. Nevertheless, several key issues in this meta-analysis are worth noticing.

Lack of association of BRCA1 and BRCA2 variants with breast cancer in an ethnic population of Saudi Arabia, an emerging high-risk area

Incidence of breast cancer shows geographical variation, even within areas of ethnic homogeneity. Saudi Arabia has witnessed an increase in occurrence of breast cancer in its unexplored ethnic populations over the past few years. We aimed at determining whether any association exists between single nucleotide polymorphisms in breast cancer associated gene 1 (BRCA1) and breast cancer associated gene 2 (BRCA2) and the risk of breast cancer. TaqMan based Real Time Polymerase chain reaction genotyping assays were used to determine the frequency of single nucleotide polymorphisms in BRCA1 (rs799917) and BRCA2 (rs144848) in a group of 100 breast cancer patients and unaffected age matched controls of Saudi Arabian origin. The present data revealed that neither BRCA1 nor the BRCA2 studied variant show any significant association with the disease. This study failed to find any role of the concerned variants in breast cancer either as risk or as prognostic factors. The small number of patients registered was one of the limitations of this study. In summary, comparison of mutation profile with other ethnic populations and regions reflected both differences and similarities indicating co-exposure to a unique set of risk factors. The differences could be due to exposure to particular environmental carcinogens; different lifestyle, reproductive pattern; dietary or cultural practices of Saudi Arabian women that need further investigations.

Association between BRCA1 rs799917 polymorphism and breast cancer risk: A meta-analysis of 19,878 subjects

Studies investigating the association between the BRCA1 rs799917 polymorphism and breast cancer risk have reported controversial results. In order to derive a more precise estimation of the relationship, we performed a comprehensive meta-analysis. A total of 8 articles comprising 19,878 subjects were included in this meta-analysis. Odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were calculated by Stata 11 software. Heterogeneity tests were conducted by Q test with I(2) value, and publication bias assessment was performed by Begg's funnel plot and Egger's test. The pooled results did not show any sufficient evidence approving the association between the BRCA1 rs799917 polymorphism and breast cancer risk in total population (T vs C: OR=1.01, 95% CI=0.97-1.06; TT vs CC: OR=1.03, 95% CI=0.93-1.13; CT vs CC: OR=1.04, 95% CI=0.92-1.16; TT+CT vs CC: OR=1.04, 95% CI=0.94-1.15; TT vs CT+CC: OR=1.03, 95% CI=0.94-1.12). In the further subgroup analyses, no significant associations were found in any comparison models according to ethnicity and source of controls. No publication bias was observed in this meta-analysis. In summary, based on the overall results, this meta-analysis strongly suggests that the BRCA1 rs799917 polymorphism is not associated with breast cancer risk.

Polymorphisms in DNA repair genes and MDR1 and the risk for non-Hodgkin lymphoma

The damage caused by oxidative stress and exposure to cigarette smoke and alcohol necessitate DNA damage repair and transport by multidrug resistance-1 (MDR1). To explore the association between polymorphisms in these genes and non-Hodgkin lymphoma risk, we analyzed 15 polymorphisms of 12 genes in a population-based study in Korea (694 cases and 1700 controls). Four genotypes of DNA repair pathway genes (XRCC1 399 GA, OGG1 326 GG, BRCA1 871 TT, and WRN 787 TT) were associated with a decreased risk for NHL [odds ratio (OR)XRCC1 GA=0.80, p=0.02; OROGG1 GG=0.70, p=0.008; ORBRCA1 TT=0.71, p=0.048; ORWRN TT=0.68, p=0.01]. Conversely, the MGMT 115 CT genotype was associated with an increased risk for NHL (OR=1.25, p=0.04). In the MDR1 gene, the 1236 CC genotype was associated with a decreased risk for NHL (OR=0.74, p=0.04), and the 3435 CT and TT genotypes were associated with an increased risk (OR3435CT=1.50, p<0.0001; OR3435TT=1.43, p=0.02). These results suggest that polymorphisms in the DNA repair genes XRCC1, OGG1, BRCA1, WRN1, and MGMT and in the MDR1 gene may affect the risk for NHL in Korean patients.

Meta-analysis of the association of glutathione S-transferase T1 null/presence gene polymorphism with the risk of gastric carcinoma

A possible association of glutathione S-transferase T1 (GSTT1) null/presence gene polymorphism and an increased risk of developing gastric carcinoma is still unclear and hotly debated. This investigation was performed to assess the association of the GSTT1 null/presence gene polymorphism with the risk of gastric carcinoma via a meta-analysis to increase sample size and statistical significance. PubMed, Cochrane Library and CBM-disc (China Biological Medicine Database) were searched on March 1, 2013, association reports were identified, and eligible studies were recruited and synthesized. Fifty-two reports were found to be suitable for this meta-analysis for the association of the GSTT1 null genotype with gastric carcinoma risk. The results showed that there was a significantly increased gastric carcinoma risk when the GSTT1 null genotype was present in the overall population (OR 1.21, 95 % CI 1.11-1.32, P < 0.0001), Caucasians (OR 1.25, 95 % CI 1.05-1.48, P = 0.01), East-Asians (OR 1.18, 95 % CI 1.06-1.31, P = 0.003), and Chinese (OR 1.24, 95 % CI 1.07-1.44, P = 0.005). However, no statistically relevant association could be established for the Indian ethnic group (OR 1.33, 95 % CI 0.94-1.90, P = 0.11). In conclusion, the GSTT1 null genotype is associated with an increased gastric carcinoma risk in the overall population, Caucasians, East-Asians, and Chinese.

Correlation of the BACH1 Pro919Ser polymorphism with breast cancer risk: A literature-based meta-analysis and meta-regression analysis

Recent investigations have suggested that common genetic polymorphisms in BRCA1-associated C-terminal helicase 1 (BACH1) are important in the development of breast cancer. However, individually published studies and previous meta-analyses have demonstrated inconclusive results. The aim of this meta-analysis was to derive a more precise estimation of the correlation between a common polymorphism [proline (Pro) 919 serine (Ser); rs4986764 C>T] in the BACH1 gene and susceptibility to breast cancer. A literature search of PubMed, Embase, Web of Science and Chinese BioMedicine (CBM) databases was conducted on articles published prior to March 1, 2013. Crude odds ratios (ORs) with 95% confidence intervals (CIs) were calculated. Eleven case-control studies were included with a total of 6,903 breast cancer cases and 8,154 healthy controls. The meta-analysis results revealed that the BACH1 919Ser polymorphism may be correlated with a decreased risk of breast cancer among Caucasian populations (Ser allele versus Pro allele: OR=0.90, 95% CI=0.86–0.95; Pro/Ser + Ser/Ser versus Pro/Pro: OR=0.90, 95% CI=0.84–0.98; Ser/Ser versus Pro/Pro + Pro/Ser: OR=0.84, 95% CI=0.76–0.92; Ser/Ser versus Pro/Pro: OR=0.81, 95% CI=0.73–0.91; Ser/Ser versus Pro/Ser: OR=0.86, 95% CI=0.78–0.95), although not among Asian populations. Further subgroup analyses indicated that there were significant correlations between the BACH1 919Ser polymorphism and a decreased risk of breast cancer in postmenopausal females, females with a family history of breast cancer and females without BRCA1/2 mutations. Univariate and multivariate meta-regression analyses revealed that none of the factors explained the heterogeneity (all P>0.05). The present meta-analysis suggested that the BACH1 919Ser polymorphism may decrease the risk of breast cancer among Caucasian populations, particularly in postmenopausal females with a family history of breast cancer and without BRCA1/2 mutations.

First evidence for the contribution of the genetic variations of BRCA1-interacting protein 1 (BRIP1) to the genetic susceptibility of cervical cancer

BRIP1 (BRCA1-interacting protein 1), a DNA-dependent ATPase and a DNA helicase, is critical for BRCA-associated DNA damage repair functions, and may be involved in the development of cervical cancer. Genetic markers in different regions of the BRIP1 gene have a plausible role in modulating the risk of cervical cancer. In this study, we evaluate the association between the BRIP1 variations and the risk of cervix cancer. We examined the potential association between cervical cancer and eighteen single nucleotide polymorphisms (SNPs, rs2048718, rs16945692, rs4968451, rs6504074, rs4988344, rs8077088, rs10515211, rs9897121, rs9906313, rs2159450, rs4986764, rs11871785, rs4986763, rs11079454, rs7213430, rs34289250, rs4988345 and rs12937080) of the BRIP1 gene using the MassARRAY system. The participants enrolled in this study included 298 patients with cervical cancer and 286 healthy women as the healthy controls from a Chinese Han population. The results showed that rs16945692 (intron 1), rs4968451 (intron 4), rs4986764 (exon 18) and rs7213430 (3'UTR) were significantly associated with cervical cancer (P<0.05). Furthermore, strong linkage disequilibrium (LD) was observed in three blocks (D'>0.9), and significantly more T-A-C-A haplotypes (block 1) (P=0.001) were found in the patients with cervical cancer. Significantly higher frequencies of C-A-T haplotypes (block 2) (P=0.018) and A-A haplotypes (block 3) (P=0.009) were detected in the healthy controls than in the patients with cervical cancer, suggesting that they may show protective effects against cervical cancer. These findings point to a role for the BRIP1 gene polymorphisms in cervical cancer in a Chinese Han population, and may be informative for future genetic or biological studies on cervical cancer.

Hereditary breast cancer in the Han Chinese population

Breast cancer is the most common malignancy among women and has a strong genetic background. So far, 13 breast cancer susceptibility genes of high or moderate penetrance have been identified. This review summarizes findings on these genes in Han Chinese. BRCA1 and BRCA2 are the 2 most important susceptibility genes. They have a relatively low mutation rate, and the most frequent sites of mutation are in exon 11. Frameshift mutations are the main type of mutation. Founder mutations may also exist, and BRCA-associated breast cancer has specific clinicopathologic characteristics. TP53 and PALB2 are relatively rare susceptibility genes. The relationship between the other 9 genes and breast cancer has not been fully elucidated. At present, the mutation spectrum for these susceptibility genes is not well understood in the Chinese population, and there are few reports on prognosis and clinical intervention in high-risk populations. Therefore, the true value of genetic counseling for breast cancer has yet to be realized. This article reviews studies of hereditary breast cancer in the Han Chinese population, highlights potential inadequacies, and provides a foundation for genetic counseling for breast cancer in China.

Association between BRIP1 (BACH1) polymorphisms and breast cancer risk: a meta-analysis

Inconsistency of reported associations between the Pro919Ser polymorphism in the BRCA1 interacting protein 1 (BRIP1) gene and breast cancer prompted us to undertake a meta-analysis. Although investigated by fewer studies, we have also studied the risk associated with the two additional BRIP1 polymorphisms, C47G and G64A, and breast cancer riskWe conducted searches of the published literature in MEDLINE through PubMed up to October 2012. Individual data on 5,122 cases and 5,735 controls from eight published case-control studies were evaluated for the Pro919Ser polymorphism. Accordingly, C47G and G64A polymorphisms were studied in 1,539 cases and 1,183 controls, and 667 and 782, respectively.In the overall analysis, association was lacking between the Pro919Ser polymorphism and breast cancer risk (odds ratio [OR] 0.98-1.02), materially unchanged when confined to subjects of European ancestry (OR 0.96-1.03) or even in the high-powered studies (OR 0.97-1.03). In the menopausal subgroups, premenopausal women followed the null pattern (OR 0.94-0.98) for the Pro and Ser allele contrasts, but not for the Pro-Ser genotype comparison where significant increased risk was observed (OR 1.39, P = 0.002). The postmenopausal women (>50 years) exhibited a range of pooled effects from protection (OR 0.83, P = 0.11) in the Pro-Ser genotype to slightly increased risk (OR 1.12-1.16, P = 0.28-0.42) in the Pro and Ser allele comparisons. The G64A polymorphism effects were essentially null (OR 0.90-0.98), but C47G was found to confer non-significantly increased risk under all genetic models (OR 1.27-1.40).Upon conclusion, overall summary estimates imply no associations but suggest susceptibility among carriers of the C47G polymorphism and Pro-Ser genotype in premenopausal women. The premenopausal findings and variable outcomes in postmenopausal women require more studies for confirmation.