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
Meta-Analysis
. 2024 Jun 25;22(1):167.
doi: 10.1186/s12957-024-03450-1.

Quantitative assessment of the associations between DNA repair gene XRCC3 Thr241Met polymorphism and pancreatic cancer

Wenjing Wu #  1 , Sen Xu #  2 , Lingzhi Chen  1 , Chaomin Ji  1 , Tianyu Liang  3 , Mangmang He  4
Affiliations
Meta-Analysis

Quantitative assessment of the associations between DNA repair gene XRCC3 Thr241Met polymorphism and pancreatic cancer

Wenjing Wu et al. World J Surg Oncol. .

Abstract

Background: Prior research exploring the correlation between the XRCC3 Thr241Met polymorphism and the susceptibility to pancreatic cancer has yielded conflicting outcomes. To date, there has been a notable absence of studies examining this polymorphism. The primary aim of the current investigation is to elucidate the potential role of the XRCC3 Thr241Met polymorphism as a risk factor in the development of pancreatic cancer.

Methods: The comprehensive literature search was meticulously conducted across primary databases, including PubMed, Embase, and CNKI (China National Knowledge Infrastructure), spanning from the inception of each database through January 2024. To synthesize the data, a meta-analysis was performed using either a fixed or random-effects model, as appropriate, to calculate the odds ratios (ORs) and their corresponding 95% confidence intervals (CIs).

Results: The analysis revealed significant associations between the XRCC3 Thr241Met polymorphism and an increased risk of pancreatic cancer. This was evidenced through various genetic model comparisons: allele contrast (T vs. C: OR = 0.77, 95% CI = 0.70-0.86, P < 0.001), homozygote comparison (TT vs. CC: OR = 0.71, 95% CI = 0.58-0.88, P = 0.001), heterozygote comparison (TC vs. CC: OR = 0.67, 95% CI = 0.52-0.87, P = 0.003), and a dominant genetic model (TT/TC vs. CC: OR = 0.68, 95% CI = 0.57-0.81, P < 0.001). Additionally, subgroup analyses based on ethnicity disclosed that these associations were particularly pronounced in the Caucasian population, with all genetic models showing significance (P < 0.05).

Conclusions: The XRCC3 Thr241Met polymorphism has been identified as contributing to a reduced risk of pancreatic cancer in the Caucasian population. This finding underscores the need for further research to validate and expand upon our conclusions, emphasizing the urgency for continued investigations in this domain.

Keywords: Gene polymorphism; Meta-analysis; Pancreatic cancer; XRCC3.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
PRISMA 2009 Flow Diagram
Fig. 2
Fig. 2
Forest plot for the associations between XRCC3 Thr241Met polymorphism and pancreatic cancer risk through homozygote comparison (TT vs. CC). OR, odds ratio; CI, confidence interval
Fig. 3
Fig. 3
Forest plot for the associations between XRCC3 Thr241Met polymorphism and pancreatic cancer risk through allele contrast (T vs. C). OR, odds ratio; CI, confidence interval
Fig. 4
Fig. 4
Forest plot for the associations between XRCC3 Thr241Met polymorphism and pancreatic cancer risk through heterozygosis comparison (TC vs. CC). OR, odds ratio; CI, confidence interval
Fig. 5
Fig. 5
Forest plot for the associations between XRCC3 Thr241Met polymorphism and pancreatic cancer risk through recessive genetic model (TT vs. TC/CC). OR, odds ratio; CI, confidence interval
Fig. 6
Fig. 6
Forest plot for the associations between XRCC3 Thr241Met polymorphism and pancreatic cancer risk through dominate genetic model (TC/TT vs. CC). OR, odds ratio; CI, confidence interval
See this image and copyright information in PMC

References

    1. Jemal A, Bray F, Center MM, et al. Global cancer statistics. CA Cancer J Clin. 2011;61:69–90. doi: 10.3322/caac.20107. - DOI - PubMed
    1. Davis FG, Dolecek TA, McCarthy BJ, Villano JL. Toward determining the lifetime occurrence of metastatic brain tumors estimated from 2007 United States cancer incidence data. Neuro Oncol. 2012;14:1171–7. doi: 10.1093/neuonc/nos152. - DOI - PMC - PubMed
    1. Ferlay J, Soerjomataram I, Dikshit R, et al. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer. 2015;136:E359–86. doi: 10.1002/ijc.29210. - DOI - PubMed
    1. Rahib L, Smith BD, Aizenberg R, et al. Projecting cancer incidence and deaths to 2030: the unexpected burden of thyroid, liver, and pancreas cancers in the United States. Cancer Res. 2014;74:2913–21. doi: 10.1158/0008-5472.CAN-14-0155. - DOI - PubMed
    1. Yang H, Wang SY, Ou W, Sun HB, Fang Q. [Clinical characteristics and prognosis of very young patients with breast cancer in the southern of China] Ai Zheng. 2009;28:1310–6. - PubMed

Publication types

Substances