Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2017 Jun 13;8(24):39818-39832.
doi: 10.18632/oncotarget.16242.

Association between the BRCA2 rs144848 polymorphism and cancer susceptibility: a meta-analysis

Qiuyan Li  1 , Rongwei Guan  1 , Yuandong Qiao  1 , Chang Liu  1 , Ning He  2 , Xuelong Zhang  1 , Xueyuan Jia  1 , Haiming Sun  1 , Jingcui Yu  3 , Lidan Xu  1
Affiliations
Review

Association between the BRCA2 rs144848 polymorphism and cancer susceptibility: a meta-analysis

Qiuyan Li et al. Oncotarget. .

Abstract

The BRCA2 gene plays an important role in cancer carcinogenesis, and polymorphisms in this gene have been associated with cancer risk. The BRCA2 rs144848 polymorphism has been associated with several cancers, but results have been inconsistent. In the present study, a meta-analysis was performed to assess the association between the rs144848 polymorphism and cancer risk. Literature was searched from the databases of PubMed, Embase and Google Scholar before April 2016. The fixed or random effects model was used to calculate pooled odd ratios on the basis of heterogeneity. Meta-regression, sensitivity analysis, subgroup analysis and publication bias assessment were also performed using STATA 11.0 software according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2009. A total of 40 relevant studies from 30 publications including 34,911 cases and 48,329 controls were included in the final meta-analysis. Among them, 22 studies focused on breast cancer, seven on ovarian cancer, five on non-Hodgkin lymphoma, and the remaining six studies examined various other cancers. The meta-analysis results showed that there were significant associations between the rs144848 polymorphism and cancer risk in all genetic models. Stratified by cancer type, the rs144848 polymorphism was associated with non-Hodgkin lymphoma. Stratified by study design, the allele model was associated with breast cancer risk in population-based studies. The meta-analysis suggests that the BRCA2 rs144848 polymorphism may play a role in cancer risk. Further well-designed studies are warranted to confirm these results.

Keywords: BRCA2; cancer; meta-analysis; polymorphism; susceptibility.

PubMed Disclaimer

Conflict of interest statement

CONFLICTS OF INTEREST

We declared that there is no duality of interest associated with this manuscript.

Figures

Figure 1
Figure 1. Study flow diagram
Figure 2
Figure 2. Forest plot for pooled ORs for the associations between allele model (H allele vs N allele) of rs144844 and cancer risk in the overall population
Each square is proportional to the study-specific weight.
Figure 3
Figure 3. Forest plot for pooled ORs for the associations between additive model (NH vs NN) of rs144844 and cancer risk in the overall population
Each square is proportional to the study-specific weight.
Figure 4
Figure 4. Forest plot for pooled ORs for the associations between additive model (HH vs NN) of rs144844 and cancer risk in the overall population
Each square is proportional to the study-specific weight.
Figure 5
Figure 5. Forest plot for pooled ORs for the associations between dominant model (NH+HH vs NN) of rs144844 and cancer risk in the overall population
Each square is proportional to the study-specific weight.
Figure 6
Figure 6. Forest plot for pooled ORs for the associations between recessive model (HH vs NH+NN) of rs144844 and cancer risk in the overall population
Each square is proportional to the study-specific weight.
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

See all "Cited by" articles

References

    1. Collins A, Politopoulos I. The genetics of breast cancer: Risk factors for disease. Application of Clinical Genetics. 2011;4:11–19. - PMC - PubMed
    1. Easton D. New insights into genetic susceptibility to breast cancer. Cancer Prevention Research. 2010:3.
    1. Teraoka SN, Bernstein JL, Reiner AS, Haile RW, Bernstein L, Lynch CF, Malone KE, Stovall M, Capanu M, Liang X, Smith SA, Mychaleckyj J, Hou X, et al. Single nucleotide polymorphisms associated with risk for contralateral breast cancer in the Women's Environment, Cancer, and Radiation Epidemiology (WECARE) Study. Breast Cancer Research. 2011:13. - PMC - PubMed
    1. Narod SA. Genes, the environment, and breast cancer. The Lancet. 2010;375:2123–2124. - PubMed
    1. Vici P, Di Benedetto A, Ercolani C, Pizzuti L, Di Lauro L, Sergi D, Sperati F, Terrenato I, Dattilo R, Botti C, Fabi A, Ramieri MT, Mentuccia L, et al. Predictive significance of DNA damage and repair biomarkers in triple-negative breast cancer patients treated with neoadjuvant chemotherapy: An exploratory analysis. Oncotarget. 2015;6:42773–42780. doi: 10.18632/oncotarget.6001. - DOI - PMC - PubMed

LinkOut - more resources