Abstract
The Asn118Asn (rs11615) variant in the ERCC1 gene, and the Lys751Gln (rs13181) and Asp312Asn (rs1799793) variants in the ERCC2 gene have been associated with the development of varied types of cancer. The aim of the present study was to test for any association between the ERCC1 and ERCC2 gene variants and three different types of cancer in Mexican-mestizo patients. Patients and their respective controls were formed into three groups: The osteosarcoma group, with 28 patients and 97 controls; the colorectal group, with 108 patients and 119 controls; and the breast cancer group, with 71 patients and 74 controls. Genotyping was performed using TaqMan probes and quantitative polymerase chain reaction. Allele and genotype frequencies were compared using a χ2 test. Only one SNP (rs1799793) was found to be associated with breast cancer. This is the first study analyzing the SNPs in ERCC1 and ERCC2 genes and the susceptibility to cancer in Mexican-mestizo patients with osteosarcoma, and colorectal and breast cancer.
Keywords: ERCC1, ERCC2, cancer, Mexican-mestizos
Introduction
Excision repair cross-complimentary group 1 (ERCC1) and group 2 (ERCC2) are involved in DNA repair bringing stability and integrity to the genome (1). The ERCC1 and ERCC2 genes are part of the nucleotide excision repair pathway, which is usually indicated to be involved with repair adducts, oxidative DNA damage, cross links, alkylating damage and thymidine dimers (2,3). Therefore, the presence of single nucleotide polymorphisms (SNPs) in each gene has been associated with the development of varying types of cancer, depending on the exposure of specific environmental risk factors (4–12). In particular, the Asn118Asn (rs11615; c.354G>A) variant in ERCC1 (13), and the Lys751Gln (rs13181; c.2251A>C) and Asp312Asn (rs1799793; c.934C>T) variants in ERCC2 (11,12,14) have been associated with the risk of cancer in a variety of populations. However, the association with the Mexican-mestizo population has not been tested, even though ethnicity may play a crucial role for case-control based studies for genetic susceptibility variants in complex diseases (15). The aim of the present study was to test for an association between the Asn118Asn (ERCC1), Lys751Gln and Asp312Asn (ERCC2) variants, and osteosarcoma and colorectal and breast cancer in Mexican patients.
Patients and methods
Patient groups
Analyses were conducted for the following groups: The osteosarcoma group, with 28 patients and 97 healthy controls; the colorectal cancer group, with 108 patients and their respective 119 controls; and the breast cancer group, with 71 females diagnosed with breast cancer and 74 controls. All individuals were of Mexican-mestizo ethnicity. Institutional Committees approved the study and informed written consent was obtained from all participants. the institutions that approved the collection of samples were The National Institute of Rehabilitation, Mexico City, for samples of osteosarcoma tissue, The Civil Hospital of Guadalajara, Guadalajara, Jalisco, for samples of colon cancer tissue and The National Medical Center ‘20 of November’, Institute for Social Security and Services for State Workers, Mexico City, Mexico for samples of breast cancer tissue. Patients were recruited between May 2012 and December 2013, from three tertiary-care level hospitals in Mexico (National Institute of Rehabilitation, Mexico City; National Medical Center ‘20 of November’, Institute for Social Security and Services for State Workers, Mexico City; and Civil Hospital of Guadalajara, Jalisco, Mexico).
Data collection
Samples of peripheral blood (300 μl) were obtained from patients and genomic DNA was isolated by the CTAB-DTAB method that relies on the properties of cationic detergents (16). Genotyping was performed by quantitative polymerase chain reaction (qPCR) using TaqMan probes (hydrolysis probes) and the C_2532959_1_ (rs11615/Asn118Asn ERCC1), C_3145033_10 (rs13181/Lys751Gln ERCC2) and C-3145050_10 (rs1799793/Asp312Asn ERCC2) assays (Applied Biosystems, Foster City, CA, USA). qPCR was performed on a LightCycler 480 Instrument II (Roche Diagnostics GmbH, Basel, Switzerland), according to the manufacturer’s instructions. Briefly, PCR reactions contained 10–20 ng of DNA, 5.0 μl of Maxima Probe qPCR Master Mix (2X; Thermo Fisher Scientific, Austin City, TX, USA), 0.25 μl of the primers and probes (10X) and H2O to 10 μl. PCR conditions were 95°C for 10 min, 55 cycles of amplification (95°C for 30 sec, 59°C for 30 sec and 72°C for 40 sec) and a final extension at 72°C for 5 min. Genotype assignment was performed with LightCycler 480 software version 1.5.0 (Roche Diagnostics GmbH).
Statistical analysis
Statistical analysis was performed using SPSS software version 18.0 (SPSS, Inc., Chicago, IL, USA) and P<0.05 was considered to indicate a statistically significant difference. The allele and genotype frequencies, and the distribution of genotypes in groups of patients and controls were compared by χ2 or Fisher’s exact test. Homozygotes for the most frequent allele were used as reference groups. For measuring the association between genetic polymorphisms and the risk of cancer, odds ratios (ORs) were calculated. Hardy-Weinberg equilibrium (HWE) was estimated using the χ2 test (http://ihg.gsf.de/cgi-bin/hw/hwa1.pl; accessed 20/08/2013).
Results
The clinical data of the patients with osteosarcoma, and colorectal and breast cancer are summarized in Tables I–III. In osteosarcoma, the median age at diagnosis was 20.5 years (range, nine to 68 years); 57.3% of the patients were males; 57.1% of cases were osteoblastic subtype, and 14.3% chondroblastic; 57.1% presented with metastasis at diagnosis, and 14.3% at follow-up; 71.4% exhibited relapse; with 53.6% patients at clinical stage 4 at diagnosis. In colorectal cancer, the median age at diagnosis was 58 years (range, 25–96 years); ~58% of the patients were male and for 21.5% of patients, the tumor was located in the colon. In the case of breast cancer, the median age at diagnosis was 52 years (range, 30–83 years); 74.2% of the patients were pregnant at <30 years of age; 50.5% of patients breast-fed for more than six months; and the majority of patients (67%) were of clinical stage 2 at diagnosis. The genotyping call rate was >90%. The call rate is the success rate for assigning genotypes; this implies that allele discrimination was optimal. Allele and genotype frequencies of Asn118Asn (ERCC1) and rs13181 (ERCC2) were distributed according to the HWE model in each group in all types of cancer (P>0.05). Nevertheless no association with any particular type of cancer was found for the aforementioned SNPs (Tables IV–VI). Notably, the HWE test for rs1799793 showed that the genotype frequencies deviated from expected values (P<0.05) and that this SNP was indeed associated with breast cancer [OR, 9.00; 95% confidence interval (CI), 1.10–73.50; P=0.01].
Table I.
Clinical data of osteosarcoma patients (n=28).
| Clinical data | Value |
|---|---|
| Age at diagnosis, years | |
| Median | 20.5 |
| Range | 9–68 |
| Gender, % | |
| Female | 42.9 |
| Male | 57.1 |
| Subtype, % | |
| Osteoblastic | 57.1 |
| Chondroblastic | 14.3 |
| Other | 28.6 |
| Tumor location, % | |
| Femur | 85.7 |
| Tibia | 3.6 |
| Arm | 10.7 |
| Necrosis, % | |
| Good | 70.0 |
| Poor | 30.0 |
| Metastasis, % | |
| No | 28.6 |
| At diagnosis | 57.1 |
| At follow-up | 14.3 |
| Status, % | |
| Alive | 85.7 |
| Succumbed | 14.3 |
| Relapse, % | |
| No | 71.4 |
| Yes | 28.6 |
| Clinical stage at diagnosis, % | |
| 2 | 17.8 |
| 3 | 28.6 |
| 4 | 53.6 |
| Karnofsky Score, % | |
| 80 | 21.4 |
| 70 | 28.6 |
| 60 | 35.7 |
| 50 | 3.6 |
| 40 | 10.7 |
Table III.
Clinical data of breast cancer patients (n=71).
| Clinical data | Value |
|---|---|
| Age at diagnosis, years | |
| Median | 52 |
| Range | 30–83 |
| Pregnancy prior to 30 years of age, % | |
| No | 25.8 |
| Yes | 74.2 |
| Breastfeeding more than six months, % | |
| No | 49.5 |
| Yes | 50.5 |
| Stage, % | |
| 1 | 12.4 |
| 2 | 67.0 |
| 3 | 20.6 |
| HER2(+), % | |
| No | 85.6 |
| Yes | 14.4 |
HER2, human epidermal growth factor receptor 2.
Table IV.
Genotype frequencies of ERCC1 and ERCC2 polymorphisms of control group (n=97) and osteosarcoma patients (n=28).
| Variants | Genotypes | Controls, n (%) | Patients, n (%) | OR (95% CI) | P-valuea |
|---|---|---|---|---|---|
| ERCC1 rs11615 | GG | 59 (60.8) | 16 (57.2) | 1.00 | |
| GA | 32 (33.0) | 9 (32.1) | 1.04 (0.41–2.61) | 0.94 | |
| AA | 6 (6.2) | 3 (10.7) | 1.84 (0.41–8.20) | 0.42 | |
| GG/GA | 91 (93.8) | 25 (89.3) | 1.16 (0.50–2.73) | 0.73 | |
| ERCC2 rs13181 | AA | 64 (66.0) | 21 (75.0) | 1.00 | |
| AC | 31 (31.9) | 7 (25.0) | 0.69 (0.26–1.79) | 0.44 | |
| CC | 2 (2.1) | 0 (0.0) | 0.60 (0.03–12.99) | 0.42 | |
| AA/AC | 95 (97.9) | 28 (100.0) | 0.65 (0.25–1.68) | 0.37 | |
| ERCC2 rs1799793 | CC | 68 (70.1) | 21 (75.0) | 1.00 | |
| CT | 8 (8.3) | 3 (10.7) | 1.21 (0.29–4.99) | 0.79 | |
| TT | 21 (21.6) | 4 (14.3) | 0.62 (0.19–1.99) | 0.42 | |
| CC/CT | 76 (78.4) | 24 (85.7) | 0.78 (0.29–2.04) | 0.61 |
χ2 or Fisher’s exact test.
Table VI.
Genotype frequencies of ERCC1 and ERCC2 polymorphisms of control group (n=74) and breast cancer patients (n=71).
| Variants | Genotypes | Controls, n (%) | Patients, n (%) | OR (95% CI) | P-valuea |
|---|---|---|---|---|---|
| ERCC1 rs11615 | GG | 40 (54.1) | 38 (53.5) | 1.00 | |
| GA | 27 (36.5) | 28 (39.4) | 1.09 (0.55–2.18) | 0.80 | |
| AA | 7 (9.4) | 5 (7.1) | 0.75 (0.22–2.57) | 0.65 | |
| GG/GA | 67 (90.6) | 66 (92.9) | 1.02 (0.53–1.96) | 0.95 | |
| ERCC2 rs13181 | AA | 45 (60.8) | 49 (69.1) | 1.00 | |
| AC | 27 (36.5) | 19 (26.7) | 0.65 (0.32–1.32) | 0.23 | |
| CC | 2 (2.7) | 3 (4.2) | 1.38 (0.22–8.62) | 0.73 | |
| AA/AC | 72 (97.3) | 68 (95.8) | 0.69 (0.35–1.38) | 0.30 | |
| ERCC2 rs1799793 | CC | 54 (72.9) | 54 (76.0) | 1.00 | |
| CT | 1 (1.4) | 9 (12.7) | 9.00 (1.10–73.50) | 0.01b | |
| TT | 19 (25.7) | 8 (12.3) | 0.42 (0.17–1.04) | 0.06 | |
| CC/CT | 55 (74.3) | 63 (88.7) | 0.85 (0.40–1.79) | 0.67 |
χ2 or Fisher’s exact test.
Deviated from Hardy-Weinberg equilibrium.
Discussion
ERCC1 and ERCC2 genes participate in DNA repair and therefore, when mutated, may contribute to genome instability. Thus, genetic variants in these genes may be associated with the susceptibility of various types of cancer, such as osteosarcoma, and colorectal and breast cancer. In vitro studies have shown that rs11615 (ERCC1) is linked to reduced mRNA levels and a consequence reduction in protein production (17). By contrast, the rs13181 and rs1799793 SNPs of the ERCC2 gene are associated with a deficient DNA repair capacity (18,19). Nonetheless, studies in different populations should be performed in order to confirm the association of the aforementioned variants and different types of cancer; since ethnicity is a crucial factor that could modify the penetrance of disease-associated genetic variants (20–22). The present data showed a positive association between rs1799793 and breast cancer, and a lack of association between the rest of the studied variants and osteosarcoma, and colorectal and breast cancer in the Mexican patients. This SNP has been studied in different populations and deviation from HWE has been observed in at least three populations (23–25). Thus it could be possible that this SNP, which is associated with cancer risk and may have a deleterious effect on survival and is a reason for a population to deviate from the expected frequencies of the HWE model. Although more and larger studies are required to confirm this association in different populations, to the best of our knowledge, the present study is the first attempt to analyze the genetic variants of ERCC1 and ERCC2 genes in Mexican-mestizo patients with osteosarcoma, and colorectal and breast cancer.
Table II.
Clinical data of colorectal cancer patients (n=108).
| Clinical data | Value |
|---|---|
| Age at diagnosis, years | |
| Median | 58 |
| Range | 25–96 |
| Gender, % | |
| Female | 42.0 |
| Male | 58.0 |
| Tumor location, % | |
| Colon | 54.1 |
| Rectum | 45.9 |
Table V.
Genotype frequencies of ERCC1 and ERCC2 polymorphisms of control group (n=119) and colorectal cancer patients (n=108).
| Variants | Genotypes | Controls, n (%) | Patients, n (%) | OR (95% CI) | P-valuea |
|---|---|---|---|---|---|
| ERCC1 rs11615 | GG | 58 (48.7) | 46 (42.6) | 1.00 | |
| GA | 50 (42.1) | 47 (43.5) | 1.18 (0.68–2.06) | 0.55 | |
| AA | 11 (9.2) | 15 (13.9) | 1.72 (0.72–4.10) | 0.22 | |
| GG/GA | 108 (90.8) | 93 (86.1) | 1.28 (0.76–2.16) | 0.35 | |
| ERCC2 rs13181 | AA | 74 (62.2) | 69 (63.9) | 1.00 | |
| AC | 39 (32.8) | 33 (30.5) | 0.91 (0.51–1.60) | 0.74 | |
| CC | 6 (5.0) | 6 (5.6) | 1.07 (0.33–3.48) | 0.91 | |
| AA/AC | 113 (95.0) | 102 (94.4) | 0.93 (0.54–1.59) | 0.79 | |
| ERCC2 rs1799793 | CC | 81 (68.1) | 74 (68.5) | 1.00 | |
| CT | 23 (19.3) | 26 (24.1) | 1.24 (0.65–2.35) | 0.52 | |
| TT | 15 (12.6) | 8 (7.4) | 0.58 (0.23–1.46) | 0.24 | |
| CC/CT | 104 (87.4) | 100 (92.6) | 0.98 (0.56–1.71) | 0.94 |
χ2 or Fisher’s exact test.
Acknowledgements
This study was supported by a CONACYT grant (SALUD 2011-C01-162100). The authors would like to thank Miss. Roxana Bautista and Miss. Raquel Becerril for providing technical assistance.
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