Role of ERCC5 polymorphisms in non‑small cell lung cancer risk and responsiveness/toxicity to cisplatin‑based chemotherapy in the Chinese population

  • Authors:
    • Miao Li
    • Rong Chen
    • Baoyan Ji
    • Chunmei Fan
    • Guanying Wang
    • Chenli Yue
    • Guoquan Jin
  • View Affiliations

  • Published online on: January 14, 2021     https://doi.org/10.3892/or.2021.7935
  • Pages: 1295-1305
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Abstract

Non‑small cell lung cancer (NSCLC) is the leading cause of cancer‑related deaths worldwide. Cisplatin‑based chemotherapy currently represents the main treatment option for patients with NSCLC. The aim of the present study was to evaluate effect of single nucleotide polymorphisms (SNPs) within the excision repair cross‑complementing group 5 (ERCC5) gene on susceptibility to NSCLC, as well as the responsiveness to and toxicity of cisplatin chemotherapy. A total of 506 patients with NSCLC and 510 healthy controls were recruited for the present study. All DNA samples were genotyped by the Agena MassARRAY platform. Logistic regression analysis was carried out to assess the relationship between ERCC5 polymorphisms with NSCLC susceptibility and responsiveness to chemotherapy. The rs4771436 TG‑GG genotype was associated with increased NSCLC risk. When the data were stratified according to age, sex, tobacco smoking, body mass index and histological type, ERCC5 polymorphisms (rs2016073, rs4771436, rs11069498 and rs4150330) were associated with NSCLC risk. Furthermore, the A allele and GA‑AA genotype of rs11069498 were related to the response to chemotherapy. ERCC5 (rs11069498 and rs4150330) polymorphisms were associated with the increased risk of toxicity. However, rs4771436 in ERCC5 gene was significantly correlated with the reduced risk of toxicity. These results suggested a potential relationship between ERCC5 polymorphisms, the risk of NSCLC and the sensitivity to cisplatin‑based chemotherapy among Chinese populations.

Introduction

Non-small cell lung cancer (NSCLC) is one of the most common malignancies, with a high morbidity and mortality rate both in men and women worldwide (1). In China, the prevalence of NSCLC has been increasing rapidly in the past few decades, and it is reported that 652,842 new patients were diagnosed in 2012 (2). A large number of epidemiological studies have confirmed that environmental factors, especially tobacco smoking and heavy alcohol drinking are associated with the risk of NSCLC (3,4). Recently, an increasing amount of studies have revealed that hereditary factors play a crucial role in susceptibility to NSCLC (5,6).

Except for a few who are eligible for surgical treatment, most patients with NSCLC are diagnosed at an advanced stage and can only receive platinum-based chemotherapy for treatment (7,8). Both the effectiveness and toxicity of chemotherapy vary between patients. Recent studies have suggested that genetic factors play an important role in inter-individual differences in response to chemotherapy, such as the XRCC1, GSTP1 and ERCC1 genes (911). Cheng et al (9) reported that polymorphism in the ERCC1 gene was associated with the response of late-stage patients with NSCLC to cisplatin-based chemotherapy. A recent meta-analysis demonstrated that GSTP1 GG genotype was associated with the response to cisplatin-based chemotherapy in patients with NSCLC (12).

In the present study, five polymorphisms (rs2016073, rs4771436, rs11069498, rs4150330 and rs873601) in the excision repair cross-complementing group 5 (ERCC5) gene were selected in order to evaluate the relationship between ERCC5 polymorphism and NSCLC susceptibility and to examine the effect of ERCC5 variants on the response to cisplatin-based chemotherapy in Chinese patients with NSCLC.

Materials and methods

Study populations

For the present study, 506 patients with NSCLC were recruited from the Fifth People's Hospital of Qinghai Province from June 2017 to December 2018. The present study was approved by the Institutional Review Board of the Fifth People's Hospital of Qinghai Province and was carried out in accordance with the 1964 Declaration of Helsinki. All participants were aware of the purpose of the study and signed an informed consent form. NSCLC diagnosis was established and histologically confirmed by histopathological examination according to the International Classification of Diseases for Oncology (13). Patients with a prior history of other cancer, acute and chronic infectious diseases, liver and renal dysfunction or serious concomitant systemic disorder who could not receive chemotherapy were excluded from the present study. A total of 510 healthy controls were randomly enrolled from the physical examination center of the same hospital from June 2017 to December 2018. The control subjects had no history of any type of cancer. Demographic and clinical information of all participants, including age, sex, tobacco smoking, alcohol drinking, body mass index (BMI), carcinoembryonic antigen (CEA), serum ferritin (SF), tumor necrosis factor (TNF), carbohydrate antigen 50 (CA50), α-fetoprotein (AFP), neuron-specific enolase (NSE), cytokeratin-19-fragment CYFRA21-1 (CF211) and pro-gastrin releasing peptides (Pro-GRP) were collected from questionnaires or medical records at the time of recruitment.

Evaluation of cisplatin-based chemotherapeutic effect

In total, 189 patients with NSCLC underwent cisplatin-based combination chemotherapy based on the following criteria: i) Eastern Cooperative Oncology Group (ECOG) performance status (PS) ≤1; ii) age >18 years; and iii) satisfactory liver and renal function (14). The chemotherapy was repeated every 3 weeks for up to six cycles until disease relapse or unacceptable toxicity occurred. Patients who displayed a complete response or partial remission were considered good responders. By contrast, patients with stable disease or progressive disease were considered poor responders (15). Patients with chemotherapy-related toxicity were evaluated. Toxicity associated with treatment, such as nausea, vomiting and renal toxic effects were recorded.

DNA extraction and genotyping

Peripheral whole blood (5 ml) was obtained from each participant and stored in vacutainer tubes containing EDTA anticoagulant. Genomic DNA was isolated from all samples using GoldMag whole blood genomic DNA purification kit (cat. no. GMag-LJ0210; GoldMag Nanobiotech Co., Ltd.). DNA concentration was measured using a NanoDrop™ 2000 spectrophotometer (NanoDrop™ Technologies; Thermo Fisher Scientific, Inc.). Single nucleotide polymorphisms (SNPs) in the ERCC5 gene were selected based on minor allele frequency (MAF) >0.05 in the Chinese or Asian population from the 1,000 Genomes Project data (http://www.internationalgenome.org/), in accordance with the Hardy-Weinberg equilibrium (HWE; P>0.05) and a genotyping call rate >95%. As a result, five SNPs (rs2016073, rs4771436, rs11069498, rs4150330 and rs873601) were selected in the present study. Primers for amplification were designed using the Assay Design Suite V2.0 software (Agena Bioscience, Inc.). Subsequently, the MassARRAY iPLEX platform (Agena Bioscience, Inc.) was used to genotype the SNPs following the manufacturer's protocol. Data management was conducted using the Agena Bioscience 4.0 software (Agena Bioscience, Inc.). For quality control, approximately 10% of samples were randomly selected to repeat genotyping, and the reproducibility was 100%.

Statistical analysis

SPSS 20.0 software (IBM Corp.) was used for statistical analysis. The P-values for HWE were obtained using Fisher's exact test. Genotype and allele frequencies were compared between NSCLC cases and controls using χ2 tests. The association between ERCC5 polymorphisms and NSCLC risk, responsiveness to and toxicity of chemotherapy was assessed by logistic regression analysis, and the results are presented as an odds ratio (OR) and 95% confidence interval (CI). Four genetic models were used to evaluate the association of ERCC5 SNPs with NSCLC risk using PLINK software (http://zzz.bwh.harvard.edu/plink/). Linkage disequilibrium (LD) of ERCC5 SNPs was analyzed using Haploview 4.2 software (https://haploview.software.informer.com/), in which the haplotype frequencies <0.01 were omitted. All P-values were two-sided, and P<0.05 was considered to indicate a statistically significant difference. Considering Bonferroni multiple testing correction for evaluating the association of five SNPs with a specified disease in the same population, the significance level of the P-value was <0.01 (0.05 divided by 5).

Results

Characteristics of the participants

A total of 506 patients with NSCLC, including 350 males and 156 females were recruited. In addition, 510 unrelated healthy individuals, 353 males and 157 females, were recruited. The average age of patients and controls were 59.80±9.08 years and 59.80±10.63 years, respectively. No significant difference in age or sex distribution was observed among the two groups (P=0.992 and P=0.987, respectively, Table I). In total, 242 patients were tobacco smokers. In addition, 133 patients had a BMI ≤24 kg/m2, and 81 patients had a BMI >24 kg/m2. Moreover, 174 patients had squamous carcinoma, 212 patients had adenocarcinoma, and 286 patients had stage III–IV. Lastly, 42 patients exhibited good response (complete or partial remission) to chemotherapy, and 37 patients displayed toxicity to chemotherapy. The 37 patients who suffered from toxicity included 19 patients with nausea, 12 patients with myelosuppression, 5 patients with nausea and myelosuppression, and 1 patient with liver injury.

Table I.

Characteristics of cases and controls.

Table I.

Characteristics of cases and controls.

A, General characteristics

VariablesCases (n=506)Controls (n=510)P-value
Age, years (mean ± SD)59.80 ± 9.0859.80 ± 10.630.992
  ≤59235 (46%)235 (46%)
  >59271 (54%)275 (54%)
Sex 0.987
  Male350 (69%)353 (69%)
  Female156 (31%)157 (31%)
Tobacco smoking
  Yes242 (48%)108 (21%)
  No161 (32%)180 (35%)
  Information loss103 (20%)222 (44%)
Alcohol drinking
  Yes109 (22%)103 (20%)
  No267 (53%)156 (31%)
  Information loss130 (25%)251 (49%)
BMI, kg/m2
  ≤24133 (26%)138 (27%)
  >24  81 (16%)181 (36%)
  Information loss292 (58%)191 (37%)
Histological types
  Squamous carcinoma174 (34%)
  Adenocarcinoma212 (42%)
  Information loss37 (7%)
Tumor location
  Left218 (43%)
  Right264 (52%)
  Information loss24 (5%)
Lymph node metastasis
  Yes269 (53%)
  No103 (20%)
  Information loss  50 (10%)
Tumor stage
  III–IV286 (57%)
  I–II  93 (18%)
  Information loss  78 (15%)

B, Cisplatin-based chemotherapy

VariablesCases (n=189)

Response to chemotherapy
  Good response  42 (22%)
  Poor response100 (53%)
  Unavailable  47 (25%)
Toxicity to chemotherapy
  Yes  37 (20%)
  No152 (80%)

[i] P-values were calculated from χ2 test. P<0.05 indicates statistical significance. SD, standard deviation; BMI, body mass index.

Association between ERCC5 SNPs and the risk of NSCLC

A total of five SNPs (rs2016073, rs4771436, rs11069498, rs4150330 and rs873601) were selected for the present study. ERCC5 SNPs were genotyped in patients with NSCLC and healthy controls. Information regarding position, allele, MAF, HWE, OR and 95% CI for these SNPs are presented in Table II. All five SNPs were in HWE (P≥0.05), indicating good sample selection.

Table II.

Basic characteristics and allele frequencies among ERCC5 SNPs.

Table II.

Basic characteristics and allele frequencies among ERCC5 SNPs.

MAF

SNPChrAlleleCaseControlHWE P-valueOR (95% CI)P-value
rs201607313G/A0.300.300.4581.02 (0.84–1.23)0.847
rs477143613G/T0.280.270.2631.05 (0.86–1.28)0.624
rs1106949813A/G0.290.290.6690.99 (0.81–1.20)0.885
rs415033013G/A0.220.230.9990.95 (0.77–1.17)0.626
rs87360113A/G0.470.490.3760.93 (0.78–1.11)0.420

[i] P-values were calculated with two-sided χ2 test; P<0.05 indicates statistical significance. ERCC5, excision repair cross-complementing group 5; SNP, single nucleotide polymorphism; Chr, chromosome; MAF, minor allele frequency, HWE, Hardy-Weinberg equilibrium; OR, odds ratio; CI, confidence interval.

No relationship was observed between the minor allele of ERCC5 SNPs and NSCLC risk (all P>0.05). A total of four genetic models were carried out to analyze the correlation between SNP genotypes and NSCLC susceptibility. The results indicated that the TG-GG genotype of rs4771436 was associated with a higher risk of NSCLC in the dominant model (OR=1.61; 95% CI, 1.02–2.57; P=0.043), however, the significance did not exist after multiple testing correction. In addition, no significant association between any genotypes of other SNPs and NSCLC risk was observed (Table III). In addition, the relationship between ERCC5 polymorphisms and clinicopathological parameters, such as CEA, SF, TNF, CA50, AFP, NSE, CF211 and ProGRP was analyzed (Table SI).

Table III.

Association between five SNPs within the ERCC5 gene and the risk of lung cancer.

Table III.

Association between five SNPs within the ERCC5 gene and the risk of lung cancer.

SNPModelGenotypeCasesControlsOR (95% CI)P-value
rs2016073Co-dominantA/A2562481
G/A1942210.85 (0.66–1.10)0.223
G/G  55  411.30 (0.84–2.02)0.244
DominantA/A2562481
G/A-G/G2492620.92 (0.72–1.18)0.511
RecessiveA/A-G/A4504691
G/G  55  411.40 (0.91–2.14)0.121
Log-additive1.02 (0.84–1.23)0.847
rs4771436Co-dominantT/T2702661
T/G1842120.86 (0.66–1.11)0.239
G/G  49  321.51 (0.94–2.43)0.091
DominantT/T2702661
T/G-G/G2332441.61 (1.02–2.57) 0.043a
RecessiveT/T-T/G4544781
G/G  49  320.79 (0.31–2.01)0.617
Log-additive1.05 (0.86–1.27)0.627
rs11069498Co-dominantG/G2622541
G/A1922150.87 (0.67–1.12)0.280
A/A  49  411.16 (0.74–1.82)0.520
DominantG/G2622541
G/A-A/A2412560.91 (0.71–1.17)0.471
RecessiveG/G-G/A4544691
A/A  49  411.24 (0.80–1.91)0.341
Log-additive0.99 (0.82–1.19)0.891
rs4150330Co-dominantA/A3153021
G/A1581810.84 (0.64–1.09)0.189
G/G  33  271.17 (0.69–2.00)0.560
DominantA/A3153021
G/A-G/G1912080.88 (0.68–1.13)0.322
RecessiveA/A-G/A4734831
G/G  33  271.25 (0.74–2.11)0.407
Log-additive0.95 (0.78–1.17)0.634
rs873601Co-dominantG/G1421271
G/A2502660.84 (0.63–1.13)0.249
A/A1141170.87 (0.61–1.24)0.443
DominantG/G142127
G/A-A/A3643830.85 (0.64–1.12)0.254
RecessiveG/G-G/A392393
A/A1141170.98 (0.73–1.31)0.875
Log-additive 0.93 (0.78–1.11)0.416

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a P<0.05 indicate statistical significance. SNP, single nucleotide polymorphism; ERCC5, excision repair cross-complementing group 5; OR, odds ratio; CI, confidence interval.

The data were then stratified according to the characteristics of participants and clinical parameters, including age, sex, tobacco smoking, alcohol drinking, BMI, tumor location, histological types, lymph node metastasis and tumor stage (Table IV). The GG genotype of rs4771436 increased the risk of NSCLC in the subjects aged ≤59 years (GG vs. TT, OR=2.25, P=0.036; GG vs. TG-TT, OR=2.41, P=0.020). The AA genotype of rs11069498 was associated with an increased NSCLC risk in patients aged >59 years (OR=2.03, P=0.039). In men, the rs2016073 GG genotype was associated with increased NSCLC risk (GG vs. AA, OR=1.77, P=0.045; GG vs. GA-AA, OR=1.75, P=0.043). Compared with the TT genotype, the GG genotype of rs4771436 was also related to NSCLC risk (OR=1.88, P=0.044). The heterozygous genotype GA of rs4150330 reduced the risk of NSCLC (OR=0.71, P=0.035). However, these significances did not exist after multiple testing correction.

Table IV.

Association between ERCC5 polymorphisms and clinical features of lung cancer.

Table IV.

Association between ERCC5 polymorphisms and clinical features of lung cancer.

OR (95% CI), P-value

SNPVariablesAlleleHomozygoteHeterozygoteDominantRecessiveLog-additive
rs2016073 G/AG/GG/AG/A-G/GG/G
Age, years
  ≤591.10 (0.83–1.45), 0.5231.43 (0.74–2.73), 0.2860.94 (0.64–1.39), 0.7711.02 (0.71–1.47), 0.9181.46 (0.78–2.74), 0.2341.09 (0.83–1.44), 0.539
  >590.96 (0.74–1.24), 0.7381.24 (0.68–2.27), 0.4870.75 (0.52–1.07), 0.1130.82 (0.59–1.16), 0.2601.41 (0.79–2.53), 0.2500.96 (0.74–1.24), 0.730
Sex
  Male1.20 (0.95–1.51), 0.1291.77 (1.01–3.09), 0.045a1.02 (0.75–1.40), 0.8821.13 (0.84–1.52), 0.431.75 (1.02–3.00), 0.043a1.19 (0.95–1.50), 0.134
  Female0.73 (0.52–1.02), 0.0650.71 (0.34–1.49), 0.3630.55 (0.34–0.88), 0.014a0.58 (0.37–0.91), 0.017a0.95 (0.47–1.92), 0.8890.73 (0.52–1.02), 0.067
Smoking
  Yes1.21 (0.84–1.74), 0.3011.23 (0.55–2.74), 0.6071.32 (0.80–2.15), 0.2741.30 (0.82–2.05), 0.2651.11 (0.51–2.4), 0.8011.18 (0.84–1.68), 0.343
  No0.92 (0.67–1.28), 0.6390.97 (0.44–2.11), 0.9300.62 (0.38–0.99), 0.0500.67 (0.43–1.05), 0.0831.22 (0.58–2.56), 0.6060.83 (0.59–1.17), 0.280
BMI, kg/m2
  ≤240.89 (0.19–1.29), 0.5441.10 (0.48–2.5), 0.8170.73 (0.44–1.23), 0.2370.80 (0.49–1.3), 0.3631.26 (0.57–2.78), 0.5670.93 (0.65–1.33), 0.678
  >241.07 (0.71–1.61), 0.7441.75 (0.68–4.5), 0.2450.65 (0.36–1.16), 0.1430.78 (0.46–1.34), 0.3742.11 (0.85–5.25), 0.1081.00 (0.66–1.52), 0.991
Tumor types
  Squamous carcinoma1.07 (0.82–1.39), 0.6411.71 (0.94–3.12), 0.0790.93 (0.64–1.35), 0.6841.04 (0.73–1.48), 0.8281.77 (1.00–3.15), 0.0511.15 (0.88–1.51), 0.304
  Adenocarcinoma1.01 (0.79–1.29), 0.9541.13 (0.63–2.01), 0.6880.87 (0.62–1.22), 0.4130.91 (0.66–1.26), 0.5601.20 (0.69–2.10), 0.5160.98 (0.76–1.26), 0.867
rs4771436 T/GG/GT/GT/G-G/GG/G
Age, years
  ≤591.17 (0.88–1.57), 0.2722.25 (1.06–4.79), 0.036a0.85 (0.58–1.25), 0.4200.99 (0.69–1.43), 0.9682.41 (1.15–5.03), 0.020a1.15 (0.87–1.54), 0.330
  >590.95 (0.73–1.25), 0.7291.10 (0.58–2.07), 0.7720.81 0.57–1.17), 0.2620.86 (0.61–1.21), 0.3791.20 (0.65–2.22), 0.5650.94 (0.72–1.23), 0.663
Sex
  Male1.17 (0.92–1.49), 0.191.88 (1.02–3.46), 0.044a0.99 (0.72–1.35), 0.9331.09 (0.81–1.47), 0.5791.89 (1.04–3.43), 0.0381.17 (0.92–1.49), 0.191
  Female0.83 (0.59–1.18), 0.3021.01 (0.47–2.2), 0.9730.61 (0.38–0.99), 0.044a0.68 (0.43–1.06), 0.0891.26 (0.60–2.65), 0.5460.84 (0.60–1.18), 0.313
Smoking
  Yes1.14 (0.79–1.65), 0.4881.44 (0.58–3.55), 0.4311.04 (0.64–1.69), 0.8871.10 (0.69–1.74), 0.6891.42 (0.59–3.44), 0.4391.12 (0.79–1.61), 0.522
  No1.02 (0.73–1.42), 0.9111.27 (0.57–2.86), 0.5580.73 (0.46–1.17), 0.1930.81 (0.52–1.27), 0.3531.47 (0.67–3.19), 0.3360.95 (0.68–1.34), 0.776
BMI, kg/m2
  ≤240.91 (0.19–1.33), 0.6221.06 (0.44–2.56), 0.9060.8 (0.48–1.34), 0.4060.85 (0.52–1.37), 0.4991.16 (0.49–2.73), 0.7430.93 (0.64–1.35), 0.705
  >241.28 (0.84–1.93), 0.2502.6 (0.94–7.23), 0.0660.79 (0.44–1.41), 0.4250.97 (0.56–1.66), 0.9042.87 (1.07–7.75), 0.037a1.19 (0.78–1.82), 0.429
Tumor types
  Squamous carcinoma1.07 (0.82–1.41), 0.6071.51 (0.75–3.01), 0.2481.05 (0.73–1.52), 0.7821.11 (0.78–1.58), 0.5671.47 (0.75–2.88), 0.2611.14 (0.86–1.52), 0.359
  Adenocarcinoma1.05 (0.81–1.35), 0.7261.45 (0.8–2.63), 0.2250.83 (0.59–1.17), 0.2790.91 (0.66–1.26), 0.5691.57 (0.88–2.81), 0.1281.03 (0.79–1.32), 0.851
rs1106 G/AA/AG/AG/A-A/AA/A
9498Age, years
  ≤590.84 (0.64–1.12), 0.2300.76 (0.41–1.41), 0.3770.80 (0.54–1.19), 0.2720.79 (0.55–1.14), 0.2140.83 (0.46–1.51), 0.5430.85 (0.64–1.11), 0.230
  >591.13 (0.87–1.48), 0.3521.95 (0.98–3.88), 0.0580.91 (0.64–1.3), 0.6091.02 (0.73–1.43), 0.8982.03 (1.04–3.97), 0.039a1.14 (0.87–1.50), 0.327
Sex
  Male0.88 (0.70–1.11), 0.2790.94 (0.54–1.62), 0.8170.77 (0.56–1.05), 0.0990.8 (0.59–1.07), 0.1311.06 (0.62–1.79), 0.8350.88 (0.70–1.11), 0.281
  Female1.28 (0.90–1.82), 0.1661.82 (0.81–4.1), 0.1461.13 (0.71–1.82), 0.6051.24 (0.80–1.94), 0.3381.73 (0.79–3.81), 0.1711.26 (0.90–1.77), 0.182
Smoking
  Yes0.74 (0.53–1.05), 0.0900.55 (0.27–1.15), 0.1110.84 (0.51–1.38), 0.4900.76 (0.48–1.2), 0.2440.60 (0.30–1.20), 0.1450.77 (0.55–1.08), 0.126
  No1.02 (0.73–1.43), 0.9021.23 (0.52–2.91), 0.6431.01 (0.63–1.61), 0.9821.04 (0.66–1.63), 0.8691.22 (0.53–2.84), 0.6381.06 (0.75–1.51), 0.743
BMI, kg/m2
  ≤241.08 (0.19–1.59), 0.6821.3 (0.53–3.21), 0.5691.08 (0.64–1.81), 0.7711.12 (0.69–1.82), 0.6551.26 (0.52–3.04), 0.6051.12 (0.77–1.62), 0.571
  >240.97 (0.65–1.45), 0.8650.82 (0.29–2.27), 0.6961.16 (0.66–2.04), 0.6051.10 (0.64–1.88), 0.7420.76 (0.28–2.03), 0.5831.00 (0.66–1.52), 0.993
Tumor types
  Squamous carcinoma0.87 (0.66–1.14), 0.3151.05 (0.56–1.96), 0.8740.65 (0.45–0.96), 0.029a0.72 (0.5–1.02), 0.0661.26 (0.69–2.3), 0.4580.85 (0.65–1.13), 0.268
  Adenocarcinoma1.12 (0.88–1.43), 0.3651.41 (0.8–2.49), 0.2291.05 (0.75–1.48), 0.7721.11 (0.8–1.54), 0.5231.38 (0.80–2.38), 0.2421.14 (0.89–1.46), 0.313
rs4150330 G/AG/GG/AG/A-G/GG/G
Age, years
  ≤590.86 (0.63–1.16), 0.3170.85 (0.42–1.75), 0.6660.8 (0.54–1.19), 0.2660.81 (0.56–1.17), 0.2620.92 (0.46–1.86), 0.8220.87 (0.65–1.16), 0.335
  >591.04 (0.78–1.39), 0.7841.82 (0.79–4.21), 0.1620.86 (0.60–1.24), 0.4220.94 (0.67–1.33), 0.7411.92 (0.84–4.39), 0.1241.04 (0.78–1.39), 0.769
Sex
  Male0.87 (0.68–1.11), 0.2641.16 (0.61–2.2), 0.6620.71 (0.52–0.98), 0.035a0.76 (0.56–1.03), 0.0791.31 (0.69–2.47), 0.4070.87 (0.68–1.11), 0.270
  Female1.17 (0.8–1.71), 0.4141.21 (0.47–3.1), 0.6981.23 (0.75–1.99), 0.4101.22 (0.77–1.94), 0.3901.13 (0.44–2.85), 0.8021.16 (0.8–1.67), 0.432
Smoking
  Yes0.71 (0.49–1.03), 0.0700.81 (0.33–1.99), 0.6400.58 (0.35–0.94), 0.028a0.61 (0.39–0.97), 0.039a0.99 (0.41–2.39), 0.9830.74 (0.52–1.06), 0.105
  No1 (0.7–1.45),0.9821.02 (0.35–2.93), 0.9771.07 (0.66–1.72), 0.7831.06 (0.67–1.68), 0.7950.99 (0.35–2.82), 0.9891.04 (0.71–1.52), 0.832
BMI, kg/m2
  ≤240.98 (0.21–1.49), 0.9161.45 (0.44–4.80), 0.5390.88 (0.52–1.49), 0.6340.94 (0.57–1.55), 0.801.52 (0.46–4.94), 0.4911.01 (0.66–1.53), 0.97
  >240.93 (0.60–1.43), 0.7430.58 (0.16–2.15), 0.4141.23 (0.70–2.15), 0.4661.12 (0.66–1.93), 0.6730.53 (0.15–1.93), 0.3370.99 (0.64–1.54), 0.969
Tumor types
  Squamous carcinoma0.92 (0.68–1.23), 0.5671.35 (0.66–2.74), 0.4110.7 (0.47–1.03), 0.0680.78 (0.54–1.12), 0.1711.53 (0.76–3.07), 0.2370.91 (0.68–1.22), 0.514
  Adenocarcinoma1.03 (0.79–1.35), 0.8231.24 (0.63–2.46), 0.5390.98 (0.70–1.39), 0.9241.02 (0.73–1.41), 0.9191.25 (0.64–2.44), 0.5201.05 (0.8–1.37), 0.740

{ label (or @symbol) needed for fn[@id='tfn5-or-45-03-1295'] } Bold and

a P<0.05 indicate statistical significance. ERCC5, excision repair cross-complementing group 5; SNP, single nucleotide polymorphism; OR, odds ratio; CI, confidence interval; BMI, body mass index.

In women, GA, GA-GG genotypes of rs2016073 and the TG genotype of rs4771436 decreased NSCLC risk (GA vs. AA, OR=0.55, P=0.014; GA-GG vs. AA, OR=0.58, P=0.017; TG vs. TT, OR=0.61, P=0.044, respectively). Stratified by tobacco smoking, the GA and GA-GG genotypes of rs4150330 were associated with a reduced risk of NSCLC (GA vs. AA, OR=0.58, P=0.028; GA-GG vs. AA, OR=0.61, P=0.039). In addition, the GG genotype of rs4771436 decreased the risk of NSCLC in subjects with a BMI >24 kg/m2 (OR=2.87, P=0.037). By contrast, compared with the GG genotype, rs11069498 GA genotype was associated with reduced risk of squamous carcinoma (OR=0.65, P=0.029). However, these significances did not exist after multiple testing correction. No significant association was observed for alcohol drinking, tumor location, lymph node metastasis and tumor stage (data not shown).

Association between ERCC5 SNPs and cisplatin-based chemotherapy response

In total, 189 patients who received cisplatin-based chemotherapy were evaluated, of which 42 patients were good responders, 100 patients were poor responders and 47 patients were unavailable (Table I). Association between ERCC5 polymorphisms and response to chemotherapy was analyzed (Table V). Using logistic regression analysis, the A allele of rs11069498 was found to be associated with a lower response rate to chemotherapy, compared with the G allele (OR=0.52, P=0.031). ERCC5 rs11069498 polymorphism was also related to lower response rates to chemotherapy under the dominant genetic model (OR=0.44, P=0.033) and the log-additive model (OR=0.50, P=0.031). However, these significances did not exist after multiple testing correction. In addition, no statistically significant relationship was observed between the remaining SNPs and the response to chemotherapy under multiple genetic models (all P>0.05).

Table V.

Gene polymorphism and cisplatin-based chemotherapy response (n=142) in lung cancer patients.

Table V.

Gene polymorphism and cisplatin-based chemotherapy response (n=142) in lung cancer patients.

SNPModelGenotypeGood response (n=42)Poor response (n=100)OR (95% CI)P-value
rs2016073AlleleA521481
G29  551.50 (0.87–2.60)0.147
Co-dominantA/A17  541
G/A21  401.66 (0.78–3.56)0.189
G/G  4  62.15 (0.54–8.57)0.277
DominantA/A17  541
G/A-G/G25  461.73 (0.83–3.59)0.143
RecessiveA/A-G/A38  941
G/G  4  61.68 (0.45–6.32)0.443
Log-additive 1.55 (0.87–2.75)0.136
rs4771436AlleleT491511
G28  561.54 (0.88–2.69)0.126
Co-dominantT/T18  571
T/G20  371.72 (0.80–3.69)0.164
G/G  4  62.17 (0.55–8.59)0.272
DominantT/T18  571
T/G-G/G24  431.78 (0.86–3.70)0.122
RecessiveT/T-T/G38  941
G/G  4  61.69 (0.45–6.36)0.439
Log-additive 1.57 (0.89–2.79)0.121
rs11069498AlleleG661341
A17  670.52 (0.31–0.95) 0.031a
Co-dominantG/G27  451
G/A13  440.28 (0.06–1.4)0.121
A/A  2  110.48 (0.22–1.05)0.066
DominantG/G27  451
G/A-A/A15  550.44 (0.21–0.93) 0.033a
RecessiveG/G-G/A40  891
A/A  2  110.39 (0.08–1.86)0.239
Log-additive0.50 (0.27–0.94) 0.031a
rs4150330AlleleA501501
G15  690.65 (0.34–1.24)0.191
Co-dominantA/A29  571
G/A11  360.60 (0.26–1.34)0.211
G/G  2  70.53 (0.1–2.77)0.454
DominantA/A29  571
G/A-G/G13  430.59 (0.27–1.26)0.172
RecessiveA/A-G/A40  931
G/G  2  70.64 (0.12–3.24)0.585
Log-additive 0.66 (0.35–1.24)0.191
rs873601AlleleG911091
A41  431.14 (0.69–1.9)0.610
Co-dominantG/G10  291
G/A23  511.31 (0.55–3.12)0.549
A/A  9  201.30 (0.45–3.77)0.635
DominantG/G10  291
G/A-A/A32  711.30 (0.57–2.99)0.534
RecessiveG/G-G/A33  801
A/A  9  201.08 (0.45–2.63)0.859
Log-additive 1.15 (0.68–1.94)0.611

{ label (or @symbol) needed for fn[@id='tfn7-or-45-03-1295'] } P-values were calculated using χ2 test. Bold and

a P<0.05 indicate statistical significance. SNP, single nucleotide polymorphism; OR, odds ratio; CI, confidence interval.

Association between ERCC5 SNPs and chemotherapy toxicity

Subsequently, 189 patients with treatment-related toxicity were recorded, of which 37 patients suffered chemotherapy-related toxicity, and 152 patients expressed no toxicity (Table I). By analyzing ERCC5 polymorphisms with the risk of chemotherapy-related toxicity, it was revealed that ERCC5 rs4771436, rs11069498 and rs4150330 polymorphisms were associated with chemotherapy-related toxicity. ERCC5 rs11069498 polymorphism was related to the increased risk of toxicity in the co-dominant model (OR=3.87, P=0.025 and OR=3.24, P=0.006), the dominant model (OR=3.37, P=0.003), the log-additive model (OR=2.20, P=0.004) and the allele model (OR=2.28, P=0.002). For rs4150330, compared with the A allele, the G allele was associated with the higher risk of toxicity (OR=2.16, P=0.006). The GG and GA-GG genotypes of rs4150330 were also associated with higher toxicity risk (GG vs. AA, OR=3.15, P=0.006; GA-GG vs. AA, OR=2.93, P=0.006). The significance for ERCC5 rs11069498 and rs4150330 still existed after multiple testing correction. Nevertheless, the G allele, GG genotype, and TG-GG genotype of rs4771436 were associated with reduced risk of toxicity (G vs. T, OR=0.51, P=0.032, GG vs. TT, OR=0.38, P=0.034; TG-GG vs. TT, OR=0.41, P=0.027). However, these significances did not exist after multiple testing correction. In addition, no statistically significant relationship between ERCC5 polymorphisms (rs2016073 and rs873601) and chemotherapy toxicity were observed (Table VI).

Table VI.

Gene polymorphisms and chemotherapy toxicity (n=189) in lung cancer patients.

Table VI.

Gene polymorphisms and chemotherapy toxicity (n=189) in lung cancer patients.

Toxicity to chemotherapy

SNPModelGenotypeYes (n=37)No (n=152)OR (95% CI)P-value
rs2016073AlleleA1051991
G17570.57 (0.31–1.02)0.056
Co-dominantA/A23651
G/A11690.46 (0.2–1.04)0.061
G/G3180.48 (0.13–1.83)0.282
DominantA/A23651
G/A-G/G14870.46 (0.22–0.99)0.056
RecessiveA/A-G/A341341
G/G3180.66 (0.18–2.43)0.533
Log-additive 0.58 (0.32–1.06)0.077
rs4771436AlleleT602081
G14960.51 (0.27–0.95) 0.032a
Co-dominantT/T26741
T/G8600.50 (0.13–1.86)0.301
G/G3180.38 (0.16–0.93) 0.034a
DominantT/T26741
T/G-G/G11780.41 (0.19–0.91) 0.027a
RecessiveT/T-T/G341341
G/G3180.68 (0.19–2.49)0.561
Log-additive0.55 (0.30–1.03)0.061
rs11069498AlleleG432311
A31732.28 (1.34–3.88) 0.002a
Co-dominantG/G12911
G/A19493.87 (1.19–12.61) 0.025a
A/A6123.24 (1.41–7.45) 0.006a
DominantG/G12911
G/A-A/A25613.37 (1.53–7.43) 0.003a
RecessiveG/G-G/A311401
A/A6122.20 (0.75–6.47)0.150
Log-additive2.20 (1.29–3.76) 0.004a
rs4150330AlleleA492461
G25582.16 (1.24–3.79) 0.006a
Co-dominantA/A161051
G/A17362.25 (0.62–8.19)0.218
G/G4113.15 (1.40–7.07) 0.006a
DominantA/A161051
G/A-G/G21472.93 (1.37–6.27) 0.006a
RecessiveA/A-G/A331411
G/G4111.44 (0.42–4.95)0.560
Log-additive1.89 (1.10–3.24) 0.021a
rs873601AlleleG1381661
A40341.42 (0.85–2.36)0.181
Co-dominantG/G8441
G/A18781.27 (0.5–3.23)0.619
A/A11301.98 (0.69–5.64)0.201
DominantG/G8441
G/A-A/A291081.47 (0.61–3.54)0.39
RecessiveG/G-G/A261221
A/A11301.69 (0.74–3.88)0.216
Log-additive 1.41 (0.83–2.4)0.201

{ label (or @symbol) needed for fn[@id='tfn9-or-45-03-1295'] } Bold and

a P<0.05 indicate statistical significance. SNP, single nucleotide polymorphism; OR, odds ratio; CI, confidence interval.

Discussion

Numerous studies have demonstrated that both environmental and genetic factors are involved in the occurrence and progression of NSCLC (10,16). Increasing evidence suggests that genetic polymorphisms are associated with the risk of NSCLC, as well as inter-individual differences in responses to and toxicity of chemotherapy (17,18). In the present study, the rs4771436 TG-GG genotype of the ERCC5 gene was associated with an increased risk of NSCLC. The present study also observed that rs11069498 polymorphism was associated with a lower response to chemotherapy. Furthermore, ERCC5 rs4771436, rs11069498 and rs4150330 polymorphisms were associated with the risk of chemotherapy-related toxicity.

DNA base damage is commonly induced by environmental carcinogens, including chemical exposure (19). Efficient DNA repair is crucial for the maintenance of genomic integrity in response to DNA damage caused by environmental carcinogens. At present, four major DNA repair pathways have been identified, including double-strand break repair for double-stranded DNA damage, mismatch repair for replication errors, base-excision repair for small lesions, and nucleotide excision repair for bulk lesions (7). It has been revealed that DNA damage can lead to genetic mutations and carcinogenesis (20). The ERCC5 gene, also known as Xeroderma pigmentosum complementation group G (XPG), is located on chromosome 13q22-33 and contains 15 exons. ERCC5 is a crucial DNA repair enzyme (21). A previous study has revealed that mutations in the ERCC5 gene can lead to genomic instability, impaired DNA repair responses and abnormal gene transcription, indicating that ERCC5 polymorphisms may modulate cancer risk (14).

Previous genetic studies have indicated that ERCC5 gene variants are related to the risk of various cancer types, including gastric cancer, breast cancer, glioma and NSCLC (7,22,23). Na et al (22) reported that ERCC5 rs2094258 was associated with the risk of breast cancer in Chinese patients. Guo et al (23) evaluated the association between ERCC5 SNPs (rs17655 and rs751402) and susceptibility to gastric cancer and reported that, compared with the GG genotype, the AA genotype of rs751402 was associated with an increased risk of gastric cancer. Li et al (24) evaluated the role of ERCC5 SNPs in the pathogenesis of lung cancer, and observed a relationship between rs17655 and lung cancer risk. Moreover, they observed an independent effect of the rs17655 GG genotype on lung cancer risk among female, elderly samples and non-smoker patients (24). In the present study, the rs4771436 TG-GG genotype in the ERCC5 gene was associated with the highest risk of NSCLC after adjustment for sex and age. In addition, ERCC5 SNPs (rs2016073, rs4771436, rs11069498 and rs4150330) and the risk of NSCLC were related to clinical parameters including age, sex, tobacco smoking, BMI and histological type.

Numerous studies have revealed that variations in ERCC5 were related to severe toxicity in patients with NSCLC receiving chemotherapy (17,18). Liu et al (11) reported that ERCC5 p.H46H was associated with a favorable response to platinum-based chemotherapy in patients with NSCLC. In a recent study of 228 Chinese patients with advanced NSCLC who received chemotherapy, He et al (25) demonstrated that the rs751402 AA genotype was correlated with a favorable response to cisplatin-based chemotherapy, compared with the AG-GG genotype. Rulli et al (18) reported that polymorphism in the 5′ non-coding region of the ERCC5 gene had no effect on responsiveness to therapy in Caucasian patients with NSCLC. Moreover, a recent meta-analysis involving five studies with 846 patients suggested that the TT genotype of rs1047768 in ERCC5 was associated with a good response to chemotherapy (26). Additionally, no significant association of rs1047768 with chemotherapy toxicity was observed in Spanish patients with NSCLC (27). In the present study, the A allele of rs11069498 was associated with a lower response rate to chemotherapy, compared with the G allele. The GA-AA genotype of rs11069498 was also associated with a poorer response to chemotherapy. In addition, the GA and GA-AA genotypes of rs11069498 and the GG and GA-GG genotypes of rs4150330 were associated with the increased risk of toxicity. However, the G allele, GG genotype, and TG-GG genotype of rs4771436 were associated with reduced risk of toxicity. No statistically significant relationship was identified between rs873601 and the response to and toxicity of cisplatin-based chemotherapy. Although there was a small number of patients in the present study with toxicity the results can still be compared with previous studies from different populations. Zhang et al (28) reported that ERCC5 D1104H was related with non-hematological toxicities (infection). Song et al (29) reported that in the subgroup of patients who were over 58 years old, ERCC5 variants (rs4150339, rs2296147 and rs4150360) exhibited consecutive significant signals in gastrointestinal toxicity. Unfortunately, the association between ERCC5 polymorphism and chemotherapy toxicity (gastrointestinal toxicity and hematological toxicities) was not analyzed in this study. Further studies with larger population and complete toxicological information are also required for further investigation.

Several potential limitations of the present study should also be considered. Firstly, the retrospective case-controlled design of this study may have resulted in sampling bias. However, age- and sex-matched cases and controls were recruited to reduce the bias. Secondly, the sample size of patients with cisplatin-based chemotherapy was relatively small. Therefore, the association between ERCC5 polymorphism and various types of toxicity was not assessed. In the future we would like to expand the sample size, and attempt to compare these findings with previous studies in different populations. Thirdly, although ERCC5 SNPs may be associated with NSCLC risk, the results were not significant after multiple testing correction. Thus, the present findings need to be confirmed in future studies with a larger sample size.

In summary, the present study indicated that ERCC5 rs4771436 polymorphism increased the risk of NSCLC. In addition, ERCC5 rs11069498 polymorphism may be associated with responsiveness to chemotherapy. ERCC5 rs4771436, rs11069498 and rs4150330 polymorphisms were related to the risk of chemotherapy-related toxicity. To the best of our knowledge, the present study is the first to suggest that SNPs are associated with responsiveness to platinum-based chemotherapy and toxicity in Chinese patients with NSCLC. Thus, ERCC5 SNPs may represent valuable biomarkers for improving personalized therapy for Chinese patients with NSCLC.

Supplementary Material

Supporting Data

Acknowledgements

Not applicable.

Funding

This work was supported by a fund from Qinghai Provincial Science and Technology Department (grant. no. 2017-ZJ-707).

Availability of data and materials

The datasets generated and/or analyzed during the current study are not publicly available, as they contain information that could compromise the privacy of the participants, but are available from the corresponding author on reasonable request.

Authors' contributions

ML drafted the manuscript. BJ and GW performed the DNA extraction and genotyping. RC and CF analyzed the data. CY collected samples and recorded information. ML and GJ conceived and supervised the study. All authors read and approved the manuscript and agree to be accountable for all aspects of the research in ensuring that the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Ethics approval and consent to participate

The present study was approved by the Institutional Review Board of the Fifth People's Hospital of Qinghai Province and was carried out in accordance with the 1964 Declaration of Helsinki. All participants were aware of the purpose of the study and signed an informed consent form.

Patient consent for publication

Not applicable.

Competing interests

The authors have declared that they have no competing interests.

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Li M, Chen R, Ji B, Fan C, Wang G, Yue C and Jin G: Role of ERCC5 polymorphisms in non‑small cell lung cancer risk and responsiveness/toxicity to cisplatin‑based chemotherapy in the Chinese population. Oncol Rep 45: 1295-1305, 2021
APA
Li, M., Chen, R., Ji, B., Fan, C., Wang, G., Yue, C., & Jin, G. (2021). Role of ERCC5 polymorphisms in non‑small cell lung cancer risk and responsiveness/toxicity to cisplatin‑based chemotherapy in the Chinese population. Oncology Reports, 45, 1295-1305. https://doi.org/10.3892/or.2021.7935
MLA
Li, M., Chen, R., Ji, B., Fan, C., Wang, G., Yue, C., Jin, G."Role of ERCC5 polymorphisms in non‑small cell lung cancer risk and responsiveness/toxicity to cisplatin‑based chemotherapy in the Chinese population". Oncology Reports 45.3 (2021): 1295-1305.
Chicago
Li, M., Chen, R., Ji, B., Fan, C., Wang, G., Yue, C., Jin, G."Role of ERCC5 polymorphisms in non‑small cell lung cancer risk and responsiveness/toxicity to cisplatin‑based chemotherapy in the Chinese population". Oncology Reports 45, no. 3 (2021): 1295-1305. https://doi.org/10.3892/or.2021.7935