DOI QR코드

DOI QR Code

DNA Repair Gene Polymorphisms Do Not Predict Response to Radiotherapy-Based Multimodality Treatment of Patients with Rectal Cancer: a Meta-analysis

  • Guo, Cheng-Xian ;
  • Yang, Guo-Ping ;
  • Pei, Qi ;
  • Yin, Ji-Ye ;
  • Tan, Hong-Yi ;
  • Yuan, Hong
  • Published : 2015.02.25

Abstract

Background: A number of association studies have been carried out to investigate the relationship between genetic polymorphisms in DNA repair genes and response to radiotherapy-based multimodality treatment of patients with rectal cancer. However, their conclusions were inconsistent. The objective of the present study was to assess the role of DNA repair gene genetic polymorphisms in predicting genetic biomarkers of the response in rectal cancer patients treated with neoadjuvant chemoradiation. Materials and Methods: Studies were retrieved by searching the PubMed database, Cochrane Library, Embase, and ISI Web of Knowledge. We conducted a meta-analysis to evaluate the association between genetic polymorphisms and the response in rectal cancer treated with neoadjuvant chemoradiation by checking odds ratios (ORs) and 95% confidence intervals (CIs). Results: Data were extracted from 5 clinical studies for this meta-analysis. The results showed that XRCC1 RS25487, XRCC1 RS179978, XRCC3 RS861539, ERCC1 RS11615 and ERCC2 RS13181 were not associated with the response in the radiotherapy-based multimodality treatment of patients with rectal cancer (p>0.05). Conclusions: This study shows that DNA repair gene common genetic polymorphisms are not significantly correlated with the radiotherapy-based multimodality treatment in rectal cancer patients.

Keywords

DNA repair genes;genetic polymorphism;response;rectal cancer;meta-analysis

References

  1. Balboa E, Duran G, Lamas MJ, et al (2010). Pharmacogenetic analysis in neoadjuvant chemoradiation for rectal cancer: high incidence of somatic mutations and their relation with response. Pharmacogenomics, 11, 747-61. https://doi.org/10.2217/pgs.10.51
  2. Begg CB, Mazumdar M (1994). Operating characteristics of a rank correlation test for publication bias. Biometrics, 50, 1088-101. https://doi.org/10.2307/2533446
  3. Borchiellini D, Etienne-Grimaldi MC, Thariat J, et al (2012). The impact of pharmacogenetics on radiation therapy outcome in cancer patients. A focus on DNA damage response genes. Cancer Treat Rev, 38, 737-59. https://doi.org/10.1016/j.ctrv.2012.02.004
  4. Bouzourene H, Bosman FT, Seelentag W, et al (2002). Importance of tumor regression assessment in predicting the outcome in patients with locally advanced rectal carcinoma who are treated with preoperative radiotherapy. Cancer, 94, 1121-30. https://doi.org/10.1002/cncr.10327
  5. Camma C, Giunta M, Fiorica F, et al (2000). Preoperative radiotherapy for resectable rectal cancer: A meta-analysis. JAMA, 284, 1008-15. https://doi.org/10.1001/jama.284.8.1008
  6. Cecchin E, Agostini M, Pucciarelli S, et al (2010). Tumor response is predicted by patient genetic profile in rectal cancer patients treated with neo-adjuvant chemo-radiotherapy. Pharmacogenomics J, 11, 214-26.
  7. Cheng XD, Lu WG, Ye F, et al (2009). The association of XRCC1 gene single nucleotide polymorphisms with response to neoadjuvant chemotherapy in locally advanced cervical carcinoma. J Exp Clin Cancer Res, 28, 91. https://doi.org/10.1186/1756-9966-28-91
  8. DerSimonian R, Kacker R (2007). Random-effects model for meta-analysis of clinical trials: an update. Contemp Clin Trials, 28, 105-14. https://doi.org/10.1016/j.cct.2006.04.004
  9. DerSimonian R, Laird N (1986). Meta-analysis in clinical trials. Control Clin Trials, 7, 177-88. https://doi.org/10.1016/0197-2456(86)90046-2
  10. Egger M, Davey Smith G, Schneider M, et al (1997). Bias in meta-analysis detected by a simple, graphical test. BMJ, 315, 629-34. https://doi.org/10.1136/bmj.315.7109.629
  11. Gordon MA, Gil J, Lu B, et al (2006). Genomic profiling associated with recurrence in patients with rectal cancer treated with chemoradiation. Pharmacogenomics, 7, 67-88. https://doi.org/10.2217/14622416.7.1.67
  12. Grimminger PP, Brabender J, Warnecke-Eberz U, et al (2010). XRCC1 gene polymorphism for prediction of response and prognosis in the multimodality therapy of patients with locally advanced rectal cancer. J Surg Res, 164, 61-6. https://doi.org/10.1016/j.jss.2010.08.002
  13. Hoeijmakers JH (2001). Genome maintenance mechanisms for preventing cancer. Nature, 411, 366-74. https://doi.org/10.1038/35077232
  14. Hu-Lieskovan S, Vallbohmer D, Zhang W, et al (2011). EGF61 polymorphism predicts complete pathologic response to cetuximab-based chemoradiation independent of KRAS status in locally advanced rectal cancer patients. Clin Cancer Res, 17, 5161-9. https://doi.org/10.1158/1078-0432.CCR-10-2666
  15. Jemal A, Siegel R, Xu J, et al (2010). Cancer statistics. CA Cancer J Clin, 60, 277-300. https://doi.org/10.3322/caac.20073
  16. Kapiteijn E, Marijnen CA, Nagtegaal ID, et al (2001). Preoperative radiotherapy combined with total mesorectal excision for resectable rectal cancer. N Engl J Med, 345, 638-46. https://doi.org/10.1056/NEJMoa010580
  17. Kerns SL, Ostrer H, Rosenstein BS (2014). Radiogenomics: using genetics to identify cancer patients at risk for development of adverse effects following radiotherapy. Cancer Discov, 4, 155-65. https://doi.org/10.1158/2159-8290.CD-13-0197
  18. Kockerling F, Reymond MA, Altendorf-Hofmann A, et al (1998). Influence of surgery on metachronous distant metastases and survival in rectal cancer. J Clin Oncol, 16, 324-9.
  19. Lamas MJ, Duran G, Gomez A, et al (2012). X-ray crosscomplementing group 1 and thymidylate synthase polymorphisms might predict response to chemoradiotherapy in rectal cancer patients. Int J Radiat Oncol Biol Phys, 82, 138-44. https://doi.org/10.1016/j.ijrobp.2010.09.053
  20. Mahimkar MB, Samant TA, Kannan S, et al (2012). Polymorphisms in GSTM1 and XPD genes predict clinical outcome in advanced oral cancer patients treated with postoperative radiotherapy. Mol Carcinog, 51, 94-103. https://doi.org/10.1002/mc.21868
  21. Mandard AM, Dalibard F, Mandard JC, et al (1994). Pathologic assessment of tumor regression after preoperative chemoradiotherapy of esophageal carcinoma. Clinicopathologic correlations. Cancer, 73, 2680-6. https://doi.org/10.1002/1097-0142(19940601)73:11<2680::AID-CNCR2820731105>3.0.CO;2-C
  22. Mantel N, Haenszel W (1959). Statistical aspects of the analysis of data from retrospective studies of disease. J Natl Cancer Inst, 22, 719-48.
  23. Masson M, Niedergang C, Schreiber V, et al (1998). XRCC1 is specifically associated with poly(ADP-ribose) polymerase and negatively regulates its activity following DNA damage. Mol Cell Biol, 18, 3563-71. https://doi.org/10.1128/MCB.18.6.3563
  24. Metzger R, Warnecke-Eberz U, Alakus H, et al (2012). Neoadjuvant radiochemotherapy in adenocarcinoma of the esophagus: ERCC1 gene polymorphisms for prediction of response and prognosis. J Gastrointest Surg, 16, 26-34. https://doi.org/10.1007/s11605-011-1700-x
  25. Rajput A, Bullard Dunn K (2007). Surgical management of rectal cancer. Semin Oncol, 34, 241-9. https://doi.org/10.1053/j.seminoncol.2007.03.005
  26. Read TE, McNevin MS, Gross EK, et al (2001). Neoadjuvant therapy for adenocarcinoma of the rectum: tumor response and acute toxicity. Dis Colon Rectum, 44, 513-22. https://doi.org/10.1007/BF02234323
  27. Rodel C, Martus P, Papadoupolos T, et al (2005). Prognostic significance of tumor regression after preoperative chemoradiotherapy for rectal cancer. J Clin Oncol, 23, 8688-96. https://doi.org/10.1200/JCO.2005.02.1329
  28. Roh MS, Colangelo LH, O'Connell MJ, et al (2009). Preoperative multimodality therapy improves disease-free survival in patients with carcinoma of the rectum: NSABP R-03. J Clin Oncol, 27, 5124-30. https://doi.org/10.1200/JCO.2009.22.0467
  29. Sauer R, Becker H, Hohenberger W, et al (2004). Preoperative versus postoperative chemoradiotherapy for rectal cancer. N Engl J Med, 351, 1731-40. https://doi.org/10.1056/NEJMoa040694
  30. Shen MR, Jones IM, Mohrenweiser H (1998). Nonconservative amino acid substitution variants exist at polymorphic frequency in DNA repair genes in healthy humans. Cancer Res, 58, 604-8.
  31. Szkandera J, Absenger G, Liegl-Atzwanger B, et al (2013). Common gene variants in RAD51, XRCC2 and XPD are not associated with clinical outcome in soft-tissue sarcoma patients. Cancer Epidemiol, 37, 1003-9. https://doi.org/10.1016/j.canep.2013.10.003
  32. Terrazzino S, Agostini M, Pucciarelli S, et al (2006). A haplotype of the methylenetetrahydrofolate reductase gene predicts poor tumor response in rectal cancer patients receiving preoperative chemoradiation. Pharmacogenet Genomics, 16, 817-24. https://doi.org/10.1097/01.fpc.0000230412.89973.c0
  33. Thompson LH, West MG (2000). XRCC1 keeps DNA from getting stranded. Mutat Res, 459, 1-18. https://doi.org/10.1016/S0921-8777(99)00058-0
  34. Vecchio FM, Valentini V, Minsky BD, et al (2005). The relationship of pathologic tumor regression grade (TRG) and outcomes after preoperative therapy in rectal cancer. Int J Radiat Oncol Biol Phys, 62, 752-60. https://doi.org/10.1016/j.ijrobp.2004.11.017
  35. Wood RD, Mitchell M, Sgouros J, et al (2001). Human DNA repair genes. Science, 291, 1284-9. https://doi.org/10.1126/science.1056154
  36. Yu Z, Chen J, Ford BN, et al (1999). Human DNA repair systems: an overview. Environ Mol Mutagen, 33, 3-20. https://doi.org/10.1002/(SICI)1098-2280(1999)33:1<3::AID-EM2>3.0.CO;2-L

Acknowledgement

Supported by : National Scientific Foundation of China