Cancer Res Treat.  2017 Apr;49(2):464-472. 10.4143/crt.2016.256.

DNA Methyltransferase Gene Polymorphisms for Prediction of Radiation-Induced Skin Fibrosis after Treatment of Breast Cancer: A Multifactorial Genetic Approach

Affiliations
  • 1Department of Pharmaceutical Sciences and Centro di Ricerca Interdipartimentale di Farmacogenetica e Farmacogenomica (CRIFF), University of Piemonte Orientale, Novara, Italy.
  • 2Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy. marco.krengli@med.uniupo.it
  • 3Department of Radiotherapy, University Hospital Maggiore della Carità, Novara, Italy.

Abstract

PURPOSE
This study was conducted to investigate the role of four polymorphic variants of DNA methyltransferase genes as risk factors for radiation-induced fibrosis in breast cancer patients. We also assessed their ability to improve prediction accuracy when combined with mitochondrial haplogroup H, which we previously found to be independently associated with a lower hazard of radiation-induced fibrosis.
MATERIALS AND METHODS
DNMT1 rs2228611,DNMT3A rs1550117,DNMT3A rs7581217, and DNMT3B rs2424908 were genotyped by real-time polymerase chain reaction in 286 Italian breast cancer patients who received radiotherapy after breast conserving surgery. Subcutaneous fibrosis was scored according to the Late Effects of Normal Tissue-Subjective Objective Management Analytical (LENT-SOMA) scale. The discriminative accuracy of genetic models was assessed by the area under the receiver operating characteristic curves (AUC).
RESULTS
Kaplan-Meier curves showed significant differences among DNMT1 rs2228611 genotypes in the cumulative incidence of grade ≥ 2 subcutaneous fibrosis (log-rank test p-value= 0.018). Multivariate Cox regression analysis revealed DNMT1 rs2228611 as an independent protective factor for moderate to severe radiation-induced fibrosis (GG vs. AA; hazard ratio, 0.26; 95% confidence interval [CI], 0.10 to 0.71; p=0.009). Adding DNMT1 rs2228611 to haplogroup H increased the discrimination accuracy (AUC) of the model from 0.595 (95% CI, 0.536 to 0.653) to 0.655 (95% CI, 0.597 to 0.710).
CONCLUSION
DNMT1 rs2228611 may represent a determinant of radiation-induced fibrosis in breast cancer patients with promise for clinical usefulness in genetic-based predictive models.

Keyword

Breast neoplasms; Fibrosis; Radiosensitivity; Skin; Single nucleotide polymorphism

MeSH Terms

Breast Neoplasms*
Breast*
Discrimination (Psychology)
DNA*
Fibrosis*
Genotype
Humans
Incidence
Mastectomy, Segmental
Models, Genetic
Polymorphism, Single Nucleotide
Protective Factors
Radiation Tolerance
Radiotherapy
Real-Time Polymerase Chain Reaction
Risk Factors
ROC Curve
Skin*
DNA

Figure

  • Fig. 1. Kaplan-Meier plot of cumulative grade ≥ 2 radiation-induced fibrosis in breast cancer patients by DNMT1 rs2228611 genotypes (p=0.018, log-rank test).

  • Fig. 2. Receiver operating characteristic curve curves for prediction of grade ≥ 2 radiation-induced fibrosis based on different combinations of DNMT1 rs2228611 and/or mitochondrial haplogroup H, as described in Table 3. Model 5 vs. model 1, p=0.053; model 5 vs. model 3, p=0.009; model 5 vs. model 4, p=0.93. Model 2 is not shown since it is equivalent to model 3. AUC, area under the receiver operating characteristic curves; CI, confidence interval.

  • Fig. 3. Kaplan-Meier plot of cumulative grade ≥ 2 radiation-induced fibrosis in breast cancer patients by sum risk scores based on model 5, which combines mitochondrial haplogroup H with the recessive contrast of DNMT1 rs2228611 (p trend=0.0005, log-rank test).


Reference

References

1. Smith IE, Ross GM. Breast radiotherapy after lumpectomy: no longer always necessary. N Engl J Med. 2004; 351:1021–3.
2. O’Sullivan B, Levin W. Late radiation-related fibrosis: pathogenesis, manifestations, and current management. Semin Radiat Oncol. 2003; 13:274–89.
3. Barnett GC, West CM, Dunning AM, Elliott RM, Coles CE, Pharoah PD, et al. Normal tissue reactions to radiotherapy: towards tailoring treatment dose by genotype. Nat Rev Cancer. 2009; 9:134–42.
Article
4. Deantonio L, Gambaro G, Beldi D, Masini L, Tunesi S, Magnani C, et al. Hypofractionated radiotherapy after conservative surgery for breast cancer: analysis of acute and late toxicity. Radiat Oncol. 2010; 5:112.
Article
5. Lilla C, Ambrosone CB, Kropp S, Helmbold I, Schmezer P, von Fournier D, et al. Predictive factors for late normal tissue complications following radiotherapy for breast cancer. Breast Cancer Res Treat. 2007; 106:143–50.
Article
6. Popanda O, Marquardt JU, Chang-Claude J, Schmezer P. Genetic variation in normal tissue toxicity induced by ionizing radiation. Mutat Res. 2009; 667:58–69.
Article
7. Barnett GC, Thompson D, Fachal L, Kerns S, Talbot C, Elliott RM, et al. A genome wide association study (GWAS) providing evidence of an association between common genetic variants and late radiotherapy toxicity. Radiother Oncol. 2014; 111:178–85.
Article
8. Robertson KD. DNA methylation, methyltransferases, and cancer. Oncogene. 2001; 20:3139–55.
Article
9. Hackett JA, Surani MA. DNA methylation dynamics during the mammalian life cycle. Philos Trans R Soc Lond B Biol Sci. 2013; 368:20110328.
Article
10. Lister R, Pelizzola M, Dowen RH, Hawkins RD, Hon G, TontiFilippini J, et al. Human DNA methylomes at base resolution show widespread epigenomic differences. Nature. 2009; 462:315–22.
Article
11. Neary R, Watson CJ, Baugh JA. Epigenetics and the overhealing wound: the role of DNA methylation in fibrosis. Fibrogenesis Tissue Repair. 2015; 8:18.
Article
12. Weigel C, Schmezer P, Plass C, Popanda O. Epigenetics in radiation-induced fibrosis. Oncogene. 2015; 34:2145–55.
Article
13. Antwih DA, Gabbara KM, Lancaster WD, Ruden DM, Zielske SP. Radiation-induced epigenetic DNA methylation modification of radiation-response pathways. Epigenetics. 2013; 8:839–48.
Article
14. Richardson RB, Harper ME. Mitochondrial stress controls the radiosensitivity of the oxygen effect: implications for radiotherapy. Oncotarget. 2016; 7:21469–83.
Article
15. Atilano SR, Malik D, Chwa M, Caceres-Del-Carpio J, Nesburn AB, Boyer DS, et al. Mitochondrial DNA variants can mediate methylation status of inflammation, angiogenesis and signaling genes. Hum Mol Genet. 2015; 24:4491–503.
Article
16. Bellizzi D, D'Aquila P, Giordano M, Montesanto A, Passarino G. Global DNA methylation levels are modulated by mitochondrial DNA variants. Epigenomics. 2012; 4:17–27.
Article
17. Seibold P, Behrens S, Schmezer P, Helmbold I, Barnett G, Coles C, et al. XRCC1 polymorphism associated with late toxicity after radiation therapy in breast cancer patients. Int J Radiat Oncol Biol Phys. 2015; 92:1084–92.
Article
18. Terrazzino S, Deantonio L, Cargnin S, Donis L, Pisani C, Masini L, et al. Common European mitochondrial haplogroups in the risk for radiation-induced subcutaneous fibrosis in breast cancer patients. Clin Oncol (R Coll Radiol). 2016; 28:365–72.
Article
19. Pavy JJ, Denekamp J, Letschert J, Littbrand B, Mornex F, Bernier J, et al. EORTC Late Effects Working Group. Late effects toxicity scoring: the SOMA scale. Int J Radiat Oncol Biol Phys. 1995; 31:1043–7.
20. Andreassen CN. A simulated SNP experiment indicates a high risk of over-fitting and false positive results when a predictive multiple SNP model is established and tested within the same dataset. Radiother Oncol. 2015; 114:310–3.
Article
21. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988; 44:837–45.
Article
22. Pouliot MC, Labrie Y, Diorio C, Durocher F. The role of methylation in breast cancer susceptibility and treatment. Anticancer Res. 2015; 35:4569–74.
23. Saradalekshmi KR, Neetha NV, Sathyan S, Nair IV, Nair CM, Banerjee M. DNA methyl transferase (DNMT) gene polymorphisms could be a primary event in epigenetic susceptibility to schizophrenia. PLoS One. 2014; 9:e98182.
Article
24. Zhang W, Xu Y, Ma G, Qi W, Gu H, Jiang P. Genetic polymorphism of DNA methyltransferase 3A rs1550117 A>G and risk of cancer: a meta-analysis. J Invest Surg. 2015; 28:346–53.
25. Duan F, Cui S, Song C, Dai L, Zhao X, Zhang X. Systematic evaluation of cancer risk associated with DNMT3B polymorphisms. J Cancer Res Clin Oncol. 2015; 141:1205–20.
26. Mostowska A, Sajdak S, Pawlik P, Lianeri M, Jagodzinski PP. DNMT1, DNMT3A and DNMT3B gene variants in relation to ovarian cancer risk in the Polish population. Mol Biol Rep. 2013; 40:4893–9.
27. Hossain MB, Vahter M, Concha G, Broberg K. Low-level environmental cadmium exposure is associated with DNA hypomethylation in Argentinean women. Environ Health Perspect. 2012; 120:879–84.
Article
28. Martinez-Redondo D, Marcuello A, Casajus JA, Ara I, Dahmani Y, Montoya J, et al. Human mitochondrial haplogroup H: the highest VO2max consumer: is it a paradox? Mitochondrion. 2010; 10:102–7.
29. Zhang QQ, Xu MY, Qu Y, Hu JJ, Li ZH, Zhang QD, et al. TET3 mediates the activation of human hepatic stellate cells via modulating the expression of long non-coding RNA HIF1AAS1. Int J Clin Exp Pathol. 2014; 7:7744–51.
Full Text Links
  • CRT
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr