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An insight into clinical outcome of XPG polymorphisms in breast cancer

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Abstract

XPG polymorphisms are associated with varied clinical outcomes in different cancers but up-till now no study has been reported on breast cancer. Therefore, current study was aimed to explore the association of breast cancer risk factors and XPG polymorphisms (rs2296147 and rs1047768). It also investigated impact of XPG variants on overall survival and progression free survival among breast cancer cases. A total of 493 histopathologically identified breast cancer cases and 387 healthy females were genotyped by ARMS–PCR. Relationship between general characteristics, XPG polymorphisms and breast cancer risk was accessed by conditional logistic regression and illustrated by OR and 95% CI. Kaplan Meier test was applied to estimate survival distributions whereas log rank test demonstrated survival differences. Association of XPG variants with OS and PFS in breast cancer was illustrated by HR and 95% CI. Early onset of menopause, consanguinity and family history contributed (P < 0.05) towards breast cancer development. Both rs2296147 and rs1047768 SNPs were found to be associated (P < 0.05) with the risk of breast cancer. XPG rs1047768 was significantly associated with decreased PFS (HR 1.72; 95% CI 1.0–2.8) in breast cancer cases (P = 0.013) which was demonstrated by median time of 26 months for T > C variant when compared with median time of 37 months for TT genotype. No association was found between XPG rs2296147 polymorphism and survival analysis among breast cancer cases. XPG (rs1047768 T > C) variant may play a significant role in terms of decreased PFS and could be used as a predictor of unfavourable prognosis among breast cancer.

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References

  1. Siegel RL, Miller KD, Jemal A (2018) Cancer statistics, 2018. CA Cancer J Clin 68(1):7–30. https://doi.org/10.3322/caac.21442

    Article  Google Scholar 

  2. Menhas R, Umer S (2015) Breast cancer among Pakistani women. Iran J Public Health 44(4):586–587

    PubMed  PubMed Central  Google Scholar 

  3. Ghoncheh M, Momenimovahed Z, Salehiniya H (2016) Epidemiology, incidence and mortality of breast cancer in Asia. Asian Pac J Cancer Prev 17(S3):47–52

    Article  Google Scholar 

  4. Rudolph A, Chang-Claude J, Schmidt MK (2016) Gene-environment interaction and risk of breast cancer. Br J Cancer 114(2):125–133. https://doi.org/10.1038/bjc.2015.439

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Jeggo PA, Pearl LH, Carr AM (2016) DNA repair, genome stability and cancer: a historical perspective. Nat Rev Cancer 16(1):35–42. https://doi.org/10.1038/nrc.2015.4

    Article  CAS  PubMed  Google Scholar 

  6. Du H, Zhang X, Du M, Guo N, Chen Z, Shu Y, Zhang Z, Wang M, Zhu L (2014) Association study between XPG Asp1104His polymorphism and colorectal cancer risk in a Chinese population. Sci Rep 4:6700. https://doi.org/10.1038/srep06700

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Han C, Huang X, Hua R, Song S, Lyu L, Ta N, Zhu J, Zhang P (2017) The association between XPG polymorphisms and cancer susceptibility: evidence from observational studies. Medicine (Baltimore) 96(32):e7467. https://doi.org/10.1097/MD.0000000000007467

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Sun X-H, Hou W-G, Zhao H-X, Zhao Y-L, Ma C, Liu Y (2013) Single nucleotide polymorphisms in the NER pathway and clinical outcome of patients with bone malignant tumor. Asian Pac J Cancer Prev 14(3):2049–2052. https://doi.org/10.7314/apjcp.2013.14.3.2049

    Article  PubMed  Google Scholar 

  9. Na N, Dun E, Ren L, Li G (2015) Association between ERCC5 gene polymorphisms and breast cancer risk. Int J Clin Exp Pathol 8(3):3192

    CAS  PubMed  PubMed Central  Google Scholar 

  10. Wang F, Zhang S-D, Xu H-M, Zhu J-H, Hua R-X, Xue W-Q, Li X-Z, Wang T-M, He J, Jia W-H (2016) XPG rs2296147 T> C polymorphism predicted clinical outcome in colorectal cancer. Oncotarget 7(10):11724–11732. https://doi.org/10.18632/oncotarget.7352

    Article  PubMed  PubMed Central  Google Scholar 

  11. Yuli Y, Zhe S, Xia W, Siqing LI, Zhenxuan WU, Yu-hua ZHU, Bing S, Jun-wei C (2013) XPG is a novel biomarker of clinical outcome in advanced non-small-cell lung cancer. Pakistan J Med Sci 29(3):762–767

    Google Scholar 

  12. Ye S, Dhillon S, Ke X, Collins AR, Day IN (2001) An efficient procedure for genotyping single nucleotide polymorphisms. Nucleic Acids Res 29(17):E88–E88

    Article  CAS  Google Scholar 

  13. Malik SS, Masood N, Yasmin A (2015) Prostate cancer and glutathione S-transferase deletions. EXCLI J 14:1049–1054. https://doi.org/10.17179/excli2015-192

    Article  PubMed  PubMed Central  Google Scholar 

  14. Medrano RF, de Oliveira CA (2014) Guidelines for the tetra-primer ARMS-PCR technique development. Mol Biotechnol 56(7):599–608. https://doi.org/10.1007/s12033-014-9734-4

    Article  CAS  PubMed  Google Scholar 

  15. Duan Z, He C, Gong Y, Li P, Xu Q, Sun LP, Wang Z, Xing C, Yuan Y (2012) Promoter polymorphisms in DNA repair gene ERCC5 and susceptibility to gastric cancer in Chinese. Gene 511(2):274–279. https://doi.org/10.1016/j.gene.2012.09.025

    Article  CAS  PubMed  Google Scholar 

  16. Haber G, Ahmed NU, Pekovic V (2012) Family history of cancer and its association with breast cancer risk perception and repeat mammography. Am J Public Health 102(12):2322–2329. https://doi.org/10.2105/AJPH.2012.300786

    Article  PubMed  PubMed Central  Google Scholar 

  17. Mavaddat N, Pharoah PD, Michailidou K, Tyrer J, Brook MN, Bolla MK, Wang Q, Dennis J, Dunning AM, Shah M (2015) Prediction of breast cancer risk based on profiling with common genetic variants. JNCI: J Natl Cancer Inst. https://doi.org/10.1093/jnci/djv036

    Article  PubMed  PubMed Central  Google Scholar 

  18. Chollet-Hinton L, Anders CK, Tse C-K, Bell MB, Yang YC, Carey LA, Olshan AF, Troester MA (2016) Breast cancer biologic and etiologic heterogeneity by young age and menopausal status in the Carolina Breast Cancer Study: a case-control study. Breast Cancer Res 18(1):79. https://doi.org/10.1186/s13058-016-0736-y

    Article  PubMed  PubMed Central  Google Scholar 

  19. Bener A, Çatan F, El Ayoubi HR, Acar A, Ibrahim WH (2017) Assessing breast cancer risk estimates based on the Gail model and its predictors in Qatari women. J Prim Care Community Health 8(3):180–187

    Article  Google Scholar 

  20. Yuli Y, Zhe S, Xia W, Siqing L, Zhenxuan W, Yu-hua Z, Bing S, Jun-wei C (2013) XPG is a novel biomarker of clinical outcome in advanced non-small-cell lung cancer. Pak J Med Sci 29(3):762

    PubMed  PubMed Central  Google Scholar 

  21. Xue M-H, Li G-Y, Wu X-J, Zhang C-X, Zhang C-F, Zhu K-X (2015) Genetic variability of genes in NER pathway influences the treatment outcome of gastric cancer. Int J Clin Exp Pathol 8(5):5563

    CAS  PubMed  PubMed Central  Google Scholar 

  22. Liang Y, Deng J, Xiong Y, Wang S, Xiong W (2014) Genetic association between ERCC5 rs17655 polymorphism and lung cancer risk: evidence based on a meta-analysis. Tumor Biol 35(6):5613–5618

    Article  CAS  Google Scholar 

  23. Lu B, Li J, Gao Q, Yu W, Yang Q, Li X (2014) Laryngeal cancer risk and common single nucleotide polymorphisms in nucleotide excision repair pathway genes ERCC1, ERCC2, ERCC3, ERCC4, ERCC5 and XPA. Gene 542(1):64–68. https://doi.org/10.1016/j.gene.2014.02.043

    Article  CAS  PubMed  Google Scholar 

  24. Zhang T, Sun J, Lv M, Zhang L, Wang X, Ren J-C, Wang B (2013) XPG is predictive gene of clinical outcome in advanced non-small-cell lung cancer with platinum drug therapy. Asian Pac J Cancer Prev 14(2):701–705

    Article  Google Scholar 

  25. Zavras AI, Yoon AJ, Chen MK, Lin CW, Yang SF (2012) Association between polymorphisms of DNA repair gene ERCC5 and oral squamous cell carcinoma. Oral Surg Oral Med Oral Pathol Oral Radiol 114(5):624–629. https://doi.org/10.1016/j.oooo.2012.05.013

    Article  PubMed  Google Scholar 

  26. He XF, Liu LR, Wei W, Liu Y, Su J, Wang SL, Shen XL, Yang XB (2014) Association between the XPG Asp1104His and XPF Arg415Gln polymorphisms and risk of cancer: a meta-analysis. PLoS ONE 9(5):e88490. https://doi.org/10.1371/journal.pone.0088490

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Zhu M-L, Wang M, Cao Z-G, He J, Shi T-Y, Xia K-Q, Qiu L-X, Wei Q-Y (2012) Association between the ERCC5 Asp1104His polymorphism and cancer risk: a meta-analysis. PLoS ONE 7(7):e36293

    Article  CAS  Google Scholar 

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Acknowledgements

I would like to thank all my patients, their family members and colleagues at Armed Forces Institute of Pathology for their kind help and support.

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Authors and Affiliations

  1. Fatima Jinnah Women University, The Mall, Rawalpindi, 46000, Pakistan

    Saima Shakil Malik & Nosheen Masood

  2. Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan, China

    Sumaira Mubarik

  3. Armed Forces Institute of Pathology, Rawalpindi, Pakistan

    Saima Shakil Malik & Muhammad Tahir Khadim

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  1. Saima Shakil Malik
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  2. Sumaira Mubarik
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  3. Nosheen Masood
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  4. Muhammad Tahir Khadim
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Correspondence to Saima Shakil Malik.

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Malik, S.S., Mubarik, S., Masood, N. et al. An insight into clinical outcome of XPG polymorphisms in breast cancer. Mol Biol Rep 45, 2369–2375 (2018). https://doi.org/10.1007/s11033-018-4401-7

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  • DOI: https://doi.org/10.1007/s11033-018-4401-7

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