Forty patients consisting of 13 females (32.5%) and 27 males (67.5%), with mean ± SD age of 58.08 ± 10.24 years, were entered the study. Frequency distribution of the patients based on their demographic and clinico-pathological characteristics is shown in
Table 1.
ERCC1 Genotypes
The ERCC1 codon 118 genotypes were classified into homozygotes of CC, heterozygotes (CT), and homozygotes of TT. The frequencies of CC, CT, TT genotypes were 26 (65%), 10 (25%), and 4 (10%), respectively, as shown in
Table 2.
Relationship between ERCC1 polymorphism and response to chemotherapy
Response to treatment was studied in 40 patients, of whom 10 (25.0%) were identified as responders and 30 (75.0%) as non-responders.TT allele of ERCC1 rs11615 was present in four patients which none of them responded to treatment. Moreover, CC and CT alleles were present in 26 and 10 patients, and response was seen in 8 and 2 patients, respectively. These results are summarized in
Table 3.
Secondary analyses were done to explore any relationship between demographic variables, and clinico-pathological status of the patients with response to treatment. Results of these analyses are presented in
Table 4.
As it is shown in the
Table 4, there was an expectedly significant relationship (
p < 0.001) between histological grade and the response to treatment, so that the patients with well- and moderately-differentiated histological grade of the tumor showed a better response rate (100.00% of 2 patients and 66.66% of 12 patients, respectively) compared to those with poorly differentiated histological grade (0.00% of 26 patients).
In accordance with the personalized medicine, along with the advancement in medical and pharmaceutical sciences, many prognostic and predictive biomarkers and pharmacogenomics testing have been investigated to individualize dosage regimen, maximize therapeutic effects, and minimize treatment toxicity. The goal of our study was to determine whether polymorphism at codon ERCC1 (C118T, rs11615) predicts the clinical outcome in advanced and metastatic CRC and GC patients receiving platinum-based chemotherapy. ERCC1 is a repairing enzyme encoded in chromosome 19q13.32, which consists of 10 exons. The scientific hypothesis of this study was that the DNA repair capacity of ERCC1 is a critical mechanism of resistance to platinum/5-FU-based drugs.
Forty patients with CRC and GC have been studied in which the frequency of genotypes CC, CT, and TT were 65%, 25%, and 10%, respectively. Tumor response was assessed according to the RECIST criteria. Association between polymorphism and the response rate was evaluated using appropriate statistical methods, which was not significant. Furthermore, no significant associations were observed between polymorphism and the clinico-pathological variables, i.e. age, sex, cancer history, smoking, ECOG performance status, and except tumor histological grade. Nevertheless, the Fisher’s exact test with p < 0.001 showed that patients with well and moderate differentiated tumors responded to the FOLFOX regimen better than those patients with poorly differentiated tumors.
Several studies have been conducted on the frequency of the ERCC1 (C118T, rs11615) polymorphism in different populations, the effects of this polymorphism on protein expression, and the incidence of cancer as well as on resistance to chemotherapy regimens containing platinum drugs. In fact, in pharmacogenomics studies, while the effect of the gene in response is of considerable importance, its frequency in the target population should also be considered. The frequency of TT allele varies from 7% in the Korean population, to 48% among the German population. Although, the prevalence of this gene has not yet been studied in some populations, in this study, the frequency of this gene was about 10% in the Iranian population. Due to the small sample size, further investigations and screening studies are required for a more comprehensive conclusion.
According to some studies, the codon 118 C/T polymorphism (rs11615) is associated with differential mRNA levels (26, 35). In fact, C→T polymorphism at codon 118 of ERCC1 results in the same amino acid asparagine; however, this transition converts a common codon usage (AAC) to an infrequent codon usage (AAT). At the same time, its frequency of use is reduced two-folds (
36). Also, mRNA levels of ERCC1 and its association with resistance to chemotherapy in different cancers reveals that higher levels of the enzyme′s expression could decrease the response to the chemotherapy regimens containing platinum drugs (
37-
39).
However, the association between this polymorphism and the level of mRNA and protein expression is still a matter of controversy. In some studies, it has been argued that this polymorphism improves the response to chemotherapy due to the reduced expression of the protein, while some other studies have denied these effects (
27,
33,
35,
37 and
40-
42). Therefore, association between the ERCC1 polymorphism and its mRNA levels needs further confirmation.
While in-vitro studies, using various human ovarian carcinoma cell lines, have confirmed that the C/C ERCC1 genotype is more effective in repairing platinum-DNA lesions, clinical researches on this subject have not yet reached a definitive conclusion. In our study, the ERCC1 codon 118 polymorphism was not associated with response to chemotherapy in advanced CRC and GC patients.
This finding is in agreement with the results of some studies which had found that the ERCC1 codon 118 polymorphism was not correlated with the overall survival and response of advanced CRC and GC patients treated with platinum- based chemotherapy (
23,
33). However, there were a number of studies describing that this polymorphism is associated with the response. They considered this mutation as a good predictor of the response to treatment which may contribute to the selection of the patients who would benefit from oxaliplatin-based chemotherapy in the future.
In some articles, mutation reduces protein expression and reduces the ability to repair damage caused by the drug, resulting in patients with genotypes ERCC1 118T/T to have a better response to treatment (
14). However, in other studies, the T allele was associated with a reduced response to chemotherapy and as a result, the genotype of ERCC1 118C/C seems to indicate better treatment outcome (
17,
31 and
43). Moreover, these researches have emphasized the role of other confounding factors, such as alcohol consumption, cigarette smoking, and the stage of the disease that can affect treatment response. In our study, there was not any alcohol consumer among the patients, and the smoking and the stage of the disease did not show a relationship with the response rate. At any rate, further extensive studies are needed to promote the appropriateness of treatment options in this area.
Our study had two major limitations. First, since the number of CRC and GC patients was relatively low, the statistical power of the analyses to identify an association between the ERCC1 polymorphisms and clinical outcome of the treatment is limited. Secondly, in this study we only examined the role of one common SNP in the ERCC1 gene. Since DNA repair is a complex collection of processes, many DNA repair genes may be involved and may confuse the results. Other functional SNPs in the DNA repair system may influence the survival of the patients with CRC and GC, which must be investigated in further studies. Finally, practical data supporting the association between the ERCC1 polymorphism and its activity are still controversial and inadequate.
| Age (mean ± SD) | Range 31-78 years (58.08 ± 10.24) |
|---|
| Gender | Male | 27 (67.5%) |
| Female | 13 (32.5%) |
| Histology | Squamous Cell Carcinoma | 2 (5%) |
| Adenocarcinoma | 38 (95%) |
| Smoking history | yes | 5 (12.5%) |
| no | 35 (87.5%) |
| Family History of CRC and GC | Yes | 5 (12.5%) |
| No | 35 (87.5%) |
| Differentiation Status | Well | 2 (5%) |
| Moderate | 12(30%) |
| Poor | 26 (65%) |
| ECOG Performance Status | 0-1 | 38 (95%) |
| 2 | 2 (5%) |
| Tumor Staging | III | 2 (5%) |
| IV | 38 (95%) |
| Tumor Location | Gastric | 7 (17.5%) |
| Colon/Rectum | 33 (82.5%) |
| Genotype | CC | CT | TT |
|---|
| Distribution (N = 40) | 26 (65%) | 10 (25%) | 4 (10%) |
| Genotype | Total | TT | CT | CC |
|---|
| Yes | 10 (25.00%) | 0 (00.00%) | 2 (20.00%) | 8 (30.77%) |
| Response | | | | |
| No | 30 (75.00%) | 4 (100.00%) | 8 (80.00%) | 18 (69.23%) |
| Total | 40 (100.00%) | 4 (100.00%) | 10 (100.00%) | 26 (100.00%) |
| Response
| Total | p-Value (0.95) |
|---|
| No | Yes |
|---|
| Female | 11 (84.62%) | 2 (15.38%) | 13 (32.5%) | |
| Gender | | | | | 0.45 |
| Male | 19 (70.37%) | 8 (29.63%) | 27 (67.5%) | |
| <58 | 14 (70.00%) | 6 (30.00%) | 20 (50%) | |
| Age | | | | | 0.25 |
| ≥58 | 16 (80.00%) | 4 (20.00%) | 20 (50%) | |
| Negative | 25 (71.43%) | 10 (28.57%) | 35 (87.5%) | |
| Family history | | | | | 0.31 |
| Positive | 5 (100.00%) | 0 (0.00%) | 5 (12.5%) | |
| No | 25 (71.43%) | 10 (28.57%) | 35 (87.5%) | |
| Smoking | | | | | 0.31 |
| Yes | 5 (100.00%) | 0 (0.00%) | 5 (12.5%) | |
| Poorly differentiated | 26 (100.00%) | 0 (0.00%) | 26 (65%) | |
| Histological grade | Moderately differentiated | 4 (33.33%) | 8 (66.67%) | 12 (30%) | 0.001 |
| Well differentiated | 0 (0.00%) | 2 (100.00%) | 2 (5%) | |