APOBEC3 deletion increases the risk of breast cancer: a meta-analysis

Yali Han; Qichao Qi; Qin He; Meili Sun; Shuyun Wang; Guanzhou Zhou; Yuping Sun

doi:10.18632/oncotarget.11792

Oncotarget

Oncotarget (a primarily oncology-focused, peer-reviewed, open access journal) aims to maximize research impact through insightful peer-review; eliminate borders between specialties by linking different fields of oncology, cancer research and biomedical sciences; and foster application of basic and clinical science.

Its scope is unique. The term "oncotarget" encompasses all molecules, pathways, cellular functions, cell types, and even tissues that can be viewed as targets relevant to cancer as well as other diseases. The term was introduced in the inaugural Editorial, Introducing Oncotarget.

As of January 1, 2022, Oncotarget has shifted to a continuous publishing model. Papers will now be published continuously within yearly volumes in their final and complete form and then quickly released to Pubmed.

Subscribe to receive alerts once a paper has been published by Oncotarget.

Impact Journals, LLC is the publisher of Oncotarget: www.impactjournals.com.

Impact Journals is a member of the Wellcome Trust List of Compliant Publishers.

Impact Journals is a member of the Society for Scholarly Publishing.

On December 23, 2022, Oncotarget server experienced a DDoS attack. As a result, Oncotarget site was inaccessible for a few hours. Oncotarget team swiftly dealt with the situation and took it under control. This malicious action will be reported to the FBI.

Research Papers:

APOBEC3 deletion increases the risk of breast cancer: a meta-analysis

Yali Han, Qichao Qi, Qin He, Meili Sun, Shuyun Wang, Guanzhou Zhou and Yuping Sun _

PDF | HTML | How to cite

Oncotarget. 2016; 7:74979-74986. https://doi.org/10.18632/oncotarget.11792

Metrics: PDF 1747 views | HTML 2055 views | ?

Abstract

Yali Han1,*, Qichao Qi2,*, Qin He3,*, Meili Sun1, Shuyun Wang1, Guanzhou Zhou4, Yuping Sun1

1Department of Oncology, Jinan Central Hospital Affiliated to Shandong University, Jinan, 250013, China

2Department of Neurosurgery, Qilu Hospital of Shandong University and Brain Science Research Institute, Shandong University, Jinan, 250012, China

3Department of Endocrine and Metabolism, Qilu Hospital of Shandong University, Jinan, 250012, China

4Department of General Surgery, Qilu Hospital of Shandong University, Jinan, 250012, China

*These authors have contributed equally to this work

Correspondence to:

Yuping Sun, email: [email protected]

Keywords: APOBEC3, copy number variation, breast cancer, cancer susceptibility

Received: May 14, 2016 Accepted: August 11, 2016 Published: September 1, 2016

ABSTRACT

Recently, a deletion in the human apolipoprotein B mRNA-editing enzyme catalytic polypeptide-like 3 (APOBEC3) gene cluster has been associated with a modest increased risk of breast cancer, but studies yielded inconsistent results. Therefore we performed a meta-analysis to derive a more precise conclusion. Six studies including 18241 subjects were identified by searching PubMed and Embase databases from inception to April 2016. Pooled odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were evaluated under allele contrast, dominant, recessive, homozygous, and heterozygous models. All the analyses suggested a correlation of APOBEC3 deletion with increased breast cancer risk (D vs I: OR = 1.29, 95% CI = 1.23-1.36; D/D+I/D vs I/I: OR = 1.34, 95% CI = 1.26-1.43; D/D vs I/D+ I/I: OR = 1.51, 95% CI = 1.36-1.68; D/D vs I/I: OR = 1.75, 95% CI= 1.56-1.95; I/D vs I/I: OR = 1.28, 95% CI = 1.19-1.36). Stratified analysis by ethnicity showed that the relationship is stronger and more stable in Asians. In summary, our current work indicated that APOBEC3 copy number variations might have a good screening accuracy for breast cancer.

All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 4.0 License.
PII: 11792

Publication Alerts

Research Papers:

APOBEC3 deletion increases the risk of breast cancer: a meta-analysis

Abstract