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. 2013 Aug 2:6:1041-5.
doi: 10.2147/OTT.S49597. eCollection 2013.

Single nucleotide polymorphisms in the mitochondrial displacement loop and age at onset of non-Hodgkin lymphoma

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Single nucleotide polymorphisms in the mitochondrial displacement loop and age at onset of non-Hodgkin lymphoma

Haiyan Fan et al. Onco Targets Ther. .

Abstract

Objective: Single nucleotide polymorphisms (SNPs) accumulated frequently in the mitochondrial displacement loop (D-loop) in many cancers. We had identified cancer risk-associated SNPs in the D-loop of non-Hodgkin lymphoma (NHL) patients previously, in this study, we investigated the association of age at onset and D-loop SNPs in NHL patients.

Materials and methods: The D-loop region of mtDNA was sequenced for 133 NHL patients recorded at the Fourth Hospital of Hebei Medical University. The Kaplan-Meier method was used to identify age at onset-associated SNPs in the D-loop of NHL patients. The Cox proportional hazards model was used to identify independent risk factors for age at onset.

Results: The SNP sites of nucleotides 146C/T, 151T/C, 194T/C, 315C/C insert, 523Del/A, and 525Del/C were identified for their association with age at onset, by the logrank test. In an overall multivariate analysis, allele 146 (relative risk, 0.403; 95% confidence interval [CI]: 0.182-0.895) (P = 0.026), allele 151 (relative risk, 0.378; 95% CI: 0.165-0.868) (P = 0.022), and allele 315 (relative risk, 3.554; 95% CI: 1.344-9.400) (P = 0.011) were identified as independent predictors for age at onset in NHL patients.

Conclusion: SNPs in the D-loop can predict age at onset in NHL patients. Analysis of the D-loop SNPs can help identify NHL patient subgroups at high risk of early onset.

Keywords: Cox proportional hazards model; D-loop; Kaplan–Meier; single nucleotide polymorphisms.

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Figures

Figure 1
Figure 1
Comparison of age at onset for NHL patients according to (A) sex and (B) TNM classification with Kaplan–Meier methods. Abbreviations: NHL, non-Hodgkin lymphoma; TNM, tumor node metastasis.
Figure 2
Figure 2
Comparison of age at onset for NHL patients, according to the genotype of nucleotides 146, 151, 194, 16261, 315, 523, and 525 in the mitochondrial D-loop, using the Kaplan–Meier method. Abbreviations: D-loop, displacement loop; NHL, non-Hodgkin lymphoma.

References

    1. Geyer SM, Morton LM, Habermann TM, et al. Smoking, alcohol use, obesity, and overall survival from non-Hodgkin lymphoma: a population-based study. Cancer. 2010;116(12):2993–3000. - PMC - PubMed
    1. Zhang M, Li GC, Zhang YL, Zhang SW, Yang NN. [An analysis of the incidence and mortality with malignant lymphoma in China during 2003–2007] China Cancer. 2012;21:190–196. Chinese.
    1. Müller AM, Ihorst G, Mertelsmann R, Engelhardt M. Epidemiology of non-Hodgkin’s lymphoma (NHL): trends, geographic distribution, and etiology. Ann Hematol. 2005;84(1):1–12. - PubMed
    1. Chatterjee N, Hartge P, Cerhan JR, et al. Risk of non-Hodgkin’s lymphoma and family history of lymphatic, hematologic, and other cancers. Cancer Epidemiol Biomarkers Prev. 2004;13(9):1415–1421. - PubMed
    1. Lan Q, Wang SS, Menashe I, et al. Genetic variation in Th1/Th2 pathway genes and risk of non-Hodgkin lymphoma: a pooled analysis of three population-based case-control studies. Br J Haematol. 2011;153(3):341–350. - PMC - PubMed

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