Journal of Cancer Epidemiology

Journal of Cancer Epidemiology / 2009 / Article

Research Article | Open Access

Volume 2009 |Article ID 302047 |

Silvia Funke, Angela Risch, Alexandra Nieters, Michael Hoffmeister, Christa Stegmaier, Christoph M. Seiler, Hermann Brenner, Jenny Chang-Claude, "Genetic Polymorphisms in Genes Related to Oxidative Stress (GSTP1, GSTM1, GSTT1, CAT, MnSOD, MPO, eNOS) and Survival of Rectal Cancer Patients after Radiotherapy", Journal of Cancer Epidemiology, vol. 2009, Article ID 302047, 6 pages, 2009.

Genetic Polymorphisms in Genes Related to Oxidative Stress (GSTP1, GSTM1, GSTT1, CAT, MnSOD, MPO, eNOS) and Survival of Rectal Cancer Patients after Radiotherapy

Academic Editor: John D. Groopman
Received08 May 2009
Accepted10 Sep 2009
Published04 Nov 2009


Radiotherapy exerts part of its antineoplastic effect by generating oxidative stress, therefore genetic variation in oxidative stress-related enzymes may influence survival of rectal cancer patients. We hypothesized that genetic polymorphisms associated with higher amounts of reactive oxygen species (ROS) that exaggerate cytotoxic activity could improve survival after radiotherapy. We followed 114 rectal cancer patients who received radiotherapy for an average of 42.5 months. Associations between genotypes (GSTP1, GSTM1, GSTT1, CAT, MnSOD, MPO and eNOS) and overall survival were assessed using Kaplan-Meier curves and Cox proportional hazards regression. As hypothesized, patients carrying low ROS producing eNOS Glu298Asp asparagine allele showed an increased hazard of death compared to homozygous carriers of the glutamine allele (hazard ratio (HR): 2.10, 95% confidence interval (CI): 1.01–4.38). However, carriers of low ROS producing MPO G463A A allele had a decreased hazard of death compared to patients homozygous for the G allele (HR: 0.44, 95% CI: 0.21–0.93) although patients homozygous for the A allele had a slightly increased hazard (HR: 1.12, 95% CI: 0.25–5.08). This explorative study provides first results and highlights the need for further, larger studies to investigate association between genetic variation in oxidative stress genes and survival of rectal cancer patients who received radiotherapy.

1. Introduction

Radiotherapy is the current neoadjuvant and adjuvant treatment standard for rectal cancer in addition to surgery [1]. In combination with chemotherapy, radiation showed effectiveness in tumor downstaging and has facilitated sphincter-saving surgery in the neoadjuvant setting [2]. Radiation exerts part of its cytotoxic effects through indirect action by producing reactive oxygen species (ROS) [3]. This oxidative damaging potential is utilized to treat cancer by eradicating the malignant cells through massive cellular damage to macromolecules or indirectly through triggering abnormal signaling and cell cycle regulation [4]. Individual variability in enzymes participating in cell defense mechanisms against ROS generated by radiation may account for individual differences in prognosis.

Enzymes involved in ROS neutralizing pathways include glutathione-S-transferases (GSTs), manganese superoxide dismutase (MnSOD), and catalase (CAT). GSTs participate in carcinogen metabolism and have been related to detoxification of products generated by UV radiation-induced oxidative stress [5]. Furthermore, they are known to inhibit the mitogen-activated protein (MAP) kinase pathway through which apoptosis, stimulated by oxidative or chemical stress, is induced. By direct binding to c-Jun-N-terminal kinase 1 that activates the MAP kinase system, GSTs participate in the metabolism of lipids and DNA products derived from oxidative stress [6]. Polymorphisms in GST genes include the GSTP1 Il Val polymorphism and the deletion polymorphisms of GSTM1 or GSTT1 leading to diminished or abolished enzyme activity [7, 8]. MnSOD plays a crucial role in endogenous defense mechanisms against ROS, by converting superoxide radicals to [9]. If not subsequently removed by other antioxidant defense enzymes, itself can contribute to further generation of ROS catalyzed by myeloperoxidase (MPO). The alanine allele of MnSOD Va Ala polymorphism has been associated with overexpression of MnSOD, resulting in an increased production of which has been proposed to generate increased levels of ROS, if not subsequently neutralized [10]. CAT participates in defense mechanisms against oxidative stress by controlling the intracellular concentration of by conversion into and [11]. The variant T allele of CAT C262T polymorphism has been associated with lower enzyme activity compared to the C allele and, thus, increased levels of ROS [12, 13].

Enzymes such as MPO and endothelial nitric oxide synthase (eNOS) are involved in the generation of ROS. MPO catalyzes a reaction between and chloride to generate hypochlorous acid, a potent oxidizing agent [14]. The G463A single nucleotide polymorphism (SNP) shows a decreased affinity of the variant A allele to the SP1 binding site, resulting in a lower transcriptional activation. The A allele has therefore been suggested to be associated with lower levels of ROS [15]. eNOS generates both ROS and NO radicals. NO has complex cellular effects, either cytoprotective or cytotoxic depending on its concentration [16, 17]. The asparagine allele of eNOS Gl Asp polymorphism has been associated with reduced levels of NO and ROS [18].

So far, the effect of genetic variants in oxidative stress genes on survival in rectal cancer patients who received radiation therapy has not been assessed. However, studies in breast cancer patients have observed a survival benefit for patients with high ROS level genotypes [10, 19]. We hypothesized that polymorphisms in GSTP1, GSTM1, GSTT1, CAT, MnSOD, MPO, and eNOS associated with high ROS levels would prolong overall survival in rectal cancer patients who received radiotherapy and used data of two population based studies to evaluate this.

2. Material and Methods

2.1. Patient Population and Data Collection

This followup study included 473 patients with newly diagnosed, histologically proven, invasive rectal cancer recruited in a population-based case-control study (DACHS) and a population-based patient study (ESTHER II) . Baseline inclusion criteria of the DACHS study were residence in the Rhein-Neckar-Odenwald region, diagnosis between January 2003 and December 2004, age of 30 years or older. Patients were eligible to participate in the ESTHER II study if they were residents of the Saarland, diagnosed between January 2001 and March 2003, and aged between 50 and 74 years. Further eligibility criteria for both studies were sufficient knowledge of the German language to participate in a personal interview and availability of a blood (DACHS/ESTHER II) or a mouthwash (DACHS) sample. The studies were approved by the corresponding ethics committees (Medical University of Heidelberg, State Medical Boards of Baden-Wuerttemberg, Rhineland-Palatinate, and Saarland, resp.). Written informed consent was obtained from all study participants.

After an average of three years after diagnosis detailed information on rectal cancer treatment was collected from treating physicians. Data on vital status, date of death, and cause of death were provided by registration offices in the Rhein-Neckar-Odenwald region and by the Saarland Cancer Registry, respectively. Treatment information was available for 73% ( ) of the patients. Patients which provided treatment information and those without treatment information did not differ with respect to sex, age distribution, stage of disease, vital status, and cause of death.

Altogether, 132 patients received radiotherapy. The present analysis excluded patients lacking information on vital status , date of death , and start of radiation treatment . In addition, patients with a survival time below one month were excluded from analysis . Altogether, 114 patients (DACHS: , ESTHER II: ) were eligible for analysis.

2.2. Genotyping

Genomic DNA was isolated from blood using the FlexiGene DNA Kit (Qiagen GmbH, Hilden, Germany) (DACHS) or from EDTA anticoagulated blood using a previously described alcohol-precipitation based method (ESTHER II) [20]. A 10% random sample was genotyped twice for quality control.

GSTP1 Il Val polymorphism (rs1695) was analyzed using fluorescence-based melting curve analysis as described previously [21]. Homozygous deletions of GSTM1 and GSTT1 were assessed using a multiplex PCR followed by gel electrophoresis as described previously [22]. SNPs in CAT (rs1001179), MnSOD (rs4880), MPO (rs2333227), and eNOS (rs1799983) were analyzed using polymerase chain reaction (PCR) followed by Pyrosequencing technology (Biotage, Uppsala, Sweden). Detailed information on primers and cycling conditions of Pyrosequencing analyses is provided in the supplements.

2.3. Statistical Analyses

Analysis was performed using SAS software, version 9.1 (SAS Institute, Cary, NC, USA). All statistical tests were two sided with a significance level of . Baseline characteristics between deceased and censored patients were compared using for normally distributed continuous variables and -test for categorical variables. For SNPs in GSTP1, CAT, MnSOD, MPO, and eNOS genotype data were categorized in three categories (homozygous wild-type allele (reference), heterozygous allele carriers, homozygous variant allele carriers) as well as two categories (carrier status versus noncarrier). Deletion polymorphisms in GSTM1 and GSTT1 were categorized as nonnull (reference) or null genotype.

Survival time was defined as time from beginning radiation treatment to date of death or date of last contact. Crude associations between genotypes and overall survival were assessed using Kaplan-Meier (KM) survival function. Test for differences of the survivorship functions by genotype was performed by means of log-rank test. Cox proportional hazards regression was additionally applied to calculate hazard ratios (HRs) and corresponding 95% confidence intervals (CI), adjusting for study, sex, and cancer stage. Age and additional treatment with chemotherapy did not affect HRs and were therefore not included in the model. Test for trend was performed by using the Wald statistic. Because a small proportion of patients died from other or unknown causes, we also conducted Cox proportional hazards regression analyses including only those who died from rectal cancer.

3. Results

All SNPs were in Hardy-Weinberg equilibrium. The observed allele frequencies of GSTP1, CAT, MnSOD, MPO, and eNOS were comparable to those reported for Caucasian populations in the dbSNP database. Frequencies of GSTT1 and GSTM1 deletion polymorphisms were in accordance with those previously reported [23].

Characteristics of the study population are presented in Table 1. No differences between deceased and censored cases were observed with respect to sex, age, and BMI. As expected, notably more deceased patients suffered from advanced rectal cancer including stage 3 and stage 4 disease (82.8%) compared to censored patients (51.9%). Of the 114 patients who received radiotherapy, 39 individuals only received neoadjuvant treatment, 74 patients only received adjuvant/palliative treatment, and one patient received both (Table 2). Altogether, 31%   of the patients died. Most deceased patients had stage 3 disease (54.3%).

All Deceased Censored P

Age (years), mean62.163.3
Age groups (years)
BMI , mean26.326.0
BMI groups
Stage .0

-test for difference in deceased and censored patients.
-test for difference in deceased and censored patients.

Neoadjuvant Adjuvant/Palliative Deceased

Stage 1820.022.712.8
Stage 21332.52229.3514.3
Stage 31332.54560.01954.3
Stage 4615.068.01028.6

ne patient received both neoadjuvant and adjuvant/palliative radiation therapy.

Median followup time was 42.5 months. Plots of the estimated KM survivorship functions did not show differences in survival according to genotype for any of the polymorphisms (data not shown). However, multivariate Cox regression analyses showed a decreased hazard of death for patients carrying MPO G463A A allele compared to homozygous carriers of the G allele (HR: 0.44, 95% CI: 0.21–0.93; Table 3). This finding was consistent with borderline statistical significance of the log-rank test comparing KM survival curves by MPO genotype ( : 0.06). Patients heterozygous for the MPO A allele showed a HR of 0.39 (95% CI: 0.17–0.87), whereas patients homozygous for the A allele showed an HR of 1.12 (95% CI: 0.25–5.08) compared to homozygous carriers of the G allele. However, only seven patients were homozygous for MPO A allele.

Genetic polymorphismN Cases/DeathsPerson-yearsDeath/Person-years (95% CI)

Val carriers1.14(0.57–2.28)
T carriers1.16(0.58–2.30)
Ala carriers0.78(0.33–1.84)
A carriers0.44(0.21–0.93)
Asp carriers2.10(1.01–4.38)

ox proportional hazards model adjusted for sex, study, and cancer stage.

Carrying the eNOS Gl Asp asparagine allele was associated with a significantly increased hazard of death compared to homozygous carriers of the glutamine allele (HR: 2.10, 95% CI: 1.01–4.38; Table 3). Patients carrying one or two eNOS asparagine alleles showed an HR of 2.19 (95% CI: 1.04–4.61) and 1.56 (95% CI: 0.41–6.01), respectively, as compared to patients homozygous for the glutamine allele.

None of the other polymorphisms under study were found to be significantly associated with survival in rectal cancer patients who received radiotherapy. Associations between polymorphisms and rectal cancer-specific survival were similar to those investigating overall survival (data not shown).

4. Discussion

This study is the first explorative analysis to evaluate the effect of genetic polymorphisms in genes related to oxidative stress mechanisms on survival of rectal cancer patients after radiotherapy. Our data provide first suggestive evidence of an association between genetic variants and survival in rectal cancer patients who received ROS producing radiation therapy. Due to genetic variation, higher amounts of ROS reaching tumor cells and exaggerating cytotoxic activity may increase survival. Since radiotherapy exerts part of its antineoplastic effect via the generation of oxidative stress, we assessed whether genotypes related to high levels of ROS may prolong survival in patients who received radiotherapy. As hypothesized, patients carrying eNOS Gl Asp low ROS producing asparagine allele showed increased hazard of death as compared to noncarriers. This finding is biologically plausible as the eNOS asparagine allele has been related to low ROS levels [18]. Our finding is in line with a study in 873 breast cancer patients that observed a shorter survival in patients carrying the eNOS asparagine allele [19]. However, that study did not provide information on type of treatment that the patients received. Treatment and clinical course of rectal cancer and breast cancer are completely different; therefore comparison of results may not be useful.

Carrying low ROS producing MPO G463A A allele was associated with reduced hazard of death compared to noncarriers, but there was no allele dose effect. This observation lacks biological plausibility as the MPO G allele has been suggested to be associated with high levels of ROS, and genotypes related to high levels of oxidative stress have been proposed to prolong survival [10, 15]. A study of breast cancer patients indeed observed a survival benefit for patients homozygous for the MPO G allele who received treatment with chemo- and/or radiotherapy [10]. Nonetheless, our study showed a nonsignificantly increased HR for patients homozygous for the A allele based on a small number of patients.

Since our study is limited in size and a large number of associations were tested, chance findings with regard to the effect of eNOS and MPO polymorphisms on survival cannot be ruled out. However, recall bias could not have occurred in this study as we collected information about treatment modalities from the treating physicians. Nevertheless, it cannot be excluded that the treatment data were more likely provided on patients who were still alive or recently deceased causing selection bias.

Despite biological evidence that radiation exerts part of its effect via the generation of oxidative stress, the effect of genetically determined differences in oxidative stress mechanisms on survival after radiotherapy is not well understood. Further, larger studies providing detailed information about duration and intensity of radiation treatment are required to clarify the association of eNOS Gl Asp and MPO G463A polymorphisms with survival in rectal cancer patients who received radiotherapy. Altogether, our findings highlight the need for further research on putative genetic markers in rectal cancer patients treated with radiotherapy.


The authors acknowledge grant support of the German Research Foundation (Grant: BR 1704/6-1, BR 1704/6-3, CH 117/1-1) and Baden-Württemberg State Ministry of Science, Research and Arts. S. Funke has a scholarship from the Deutsche Forschungsgemeinschaft, Graduiertenkolleg 793.


  1. W. Schmiegel, A. Reinacher-Schick, D. Arnold et al., “Update S3-guideline “Colorectal cancer” 2008,” Zeitschrift fur Gastroenterologie, vol. 46, no. 8, pp. 799–840, 2008. View at: Publisher Site | Google Scholar
  2. N. A. Janjan, J. Abbruzzese, R. Pazdur et al., “Prognostic implications of response to preoperative infusional chemoradiation in locally advanced rectal cancer,” Radiotherapy and Oncology, vol. 51, no. 2, pp. 153–160, 1999. View at: Publisher Site | Google Scholar
  3. J. Sun, Y. Chen, M. Li, and Z. Ge, “Role of antioxidant enzymes on ionizing radiation resistance,” Free Radical Biology and Medicine, vol. 24, no. 4, pp. 586–593, 1998. View at: Publisher Site | Google Scholar
  4. B. Mignotte and J.-L. Vayssiere, “Mitochondria and apoptosis,” European Journal of Biochemistry, vol. 252, no. 1, pp. 1–15, 1998. View at: Publisher Site | Google Scholar
  5. J. D. Hayes and D. J. Pulford, “The glutathione S-transferase supergene family: regulation of GST and the contribution of the isoenzymes to cancer chemoprotection and drug resistance,” Critical Reviews in Biochemistry and Molecular Biology, vol. 30, no. 6, pp. 445–600, 1995. View at: Google Scholar
  6. V. Adler, Z. Yin, S. Y. Fuchs et al., “Regulation of JNK signaling by GSTp,” The EMBO Journal, vol. 18, no. 5, pp. 1321–1334, 1999. View at: Google Scholar
  7. F. Ali-Osman, O. Akande, G. Antoun, J.-X. Mao, and J. Buolamwini, “Molecular cloning, characterization, and expression in Escherichia coli of full-length cDNAs of three human glutathione S-transferase Pi gene variants: evidence for differential catalytic activity of the encoded proteins,” The Journal of Biological Chemistry, vol. 272, no. 15, pp. 10004–10012, 1997. View at: Publisher Site | Google Scholar
  8. S. C. Cotton, L. Sharp, J. Little, and N. Brockton, “Glutathione S-transferase polymorphisms and colorectal cancer: a HuGE review,” American Journal of Epidemiology, vol. 151, no. 1, pp. 7–32, 2000. View at: Google Scholar
  9. I. Fridovich, “Superoxide radical and superoxide dismutases,” Annual Review of Biochemistry, vol. 64, pp. 97–112, 1995. View at: Google Scholar
  10. C. B. Ambrosone, J. Ahn, K. K. Singh et al., “Polymorphisms in genes related to oxidative stress (MPO, MnSOD, CAT) and survival after treatment for breast cancer,” Cancer Research, vol. 65, no. 3, pp. 1105–1111, 2005. View at: Google Scholar
  11. J. Ahn, M. D. Gammon, R. M. Santella et al., “Associations between breast cancer risk and the catalase genotype, fruit and vegetable consumption, and supplement use,” American Journal of Epidemiology, vol. 162, no. 10, pp. 943–952, 2005. View at: Publisher Site | Google Scholar
  12. J. Ahn, S. Nowell, S. E. McCann et al., “Associations between catalase phenotype and genotype: modification by epidemiologic factors,” Cancer Epidemiology Biomarkers and Prevention, vol. 15, no. 6, pp. 1217–1222, 2006. View at: Publisher Site | Google Scholar
  13. L. Forsberg, L. Lyrenäs, U. de Faire, and R. Morgenstern, “A common functional C-T substitution polymorphism in the promoter region of the human catalase gene influences transcription factor binding, reporter gene transcription and is correlated to blood catalase levels,” Free Radical Biology and Medicine, vol. 30, no. 5, pp. 500–505, 2001. View at: Publisher Site | Google Scholar
  14. S. J. Klebanoff, “Myeloperoxidase: friend and foe,” Journal of Leukocyte Biology, vol. 77, pp. 598–625, 2005. View at: Publisher Site | Google Scholar
  15. F. Javier Piedrafita, R. B. Molander, G. Vansant, E. A. Orlova, M. Pfahl, and W. F. Reynolds, “An Alu element in the myeloperoxidase promoter contains a composite SP1-thyroid hormone-retinoic acid response element,” The Journal of Biological Chemistry, vol. 271, no. 24, pp. 14412–14420, 1996. View at: Google Scholar
  16. J. B. Lancaster Jr. and K. Xie, “Tumors face NO problems?” Cancer Research, vol. 66, pp. 6459–6462, 2006. View at: Google Scholar
  17. D. A. Wink, Y. Vodovotz, J. Laval, F. Laval, M. W. Dewhirst, and J. B. Mitchell, “The multifaceted roles of nitric oxide in cancer,” Carcinogenesis, vol. 19, no. 5, pp. 711–721, 1998. View at: Publisher Site | Google Scholar
  18. B. A. Veldman, W. Spiering, P. A. Doevendans et al., “The Glu298Asp polymorphism of the NOS 3 gene as a determinant of the baseline production of nitric oxide,” Journal of Hypertension, vol. 20, no. 10, pp. 2023–2027, 2002. View at: Publisher Site | Google Scholar
  19. J.-Y. Choi, K.-M. Lee, D.-Y. Noh et al., “Genetic polymorphisms of eNOS, hormone receptor status, and survival of breast cancer,” Breast Cancer Research and Treatment, vol. 100, no. 2, pp. 213–218, 2006. View at: Publisher Site | Google Scholar
  20. S. A. Miller, D. D. Dykes, and H. F. Polesky, “A simple salting out procedure for extracting DNA from human nucleated cells,” Nucleic Acids Research, vol. 16, no. 3, p. 1215, 1988. View at: Google Scholar
  21. T. Neuhaus, G. Geisen, H. M. Bolt et al., “Reliability off non-invasively acquired human genomic DNA as a substrate for real-time of PCR-assisted analysis of genetic polymorphisms,” Archives of Toxicology, vol. 78, no. 7, pp. 390–396, 2004. View at: Google Scholar
  22. A. Hirvonen, S. T. Saarikoski, K. Linnainmaa et al., “Glutathione S-transferase and N-acetyltransferase genotypes and asbestos-associated pulmonary disorders,” Journal of the National Cancer Institute, vol. 88, no. 24, pp. 1853–1856, 1996. View at: Publisher Site | Google Scholar
  23. J. Stoehlmacher, D. J. Park, W. Zhang et al., “A multivariate analysis of genomic polymorphisms: prediction of clinical outcome to 5-FU/oxaliplatin combination chemotherapy in refractory colorectal cancer,” British Journal of Cancer, vol. 91, no. 2, pp. 344–354, 2004. View at: Google Scholar

Copyright © 2009 Silvia Funke et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

More related articles

 PDF Download Citation Citation
 Download other formatsMore
 Order printed copiesOrder

Related articles

Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.