Haorui Zhang1, Yutao Li2, Shicheng Guo3,4, Yi Wang2, Haijian Wang2, Daru Lu2, Jiucun Wang2,5, Li Jin2,5, Gengxi Jiang6, Junjie Wu7, Yiping Han7, Juhong Li8. 1. Company 6 of Basic Medical Science, Navy Military Medical University Shanghai, China. 2. State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University Shanghai, China. 3. Department of Medical Genetics, School of Medicine and Public Health, University of Wisconsin-Madison Madison, WI, USA. 4. Center for Precision Medicine Research, Marshfield Clinic Research Institute Marshfield, WI, USA. 5. Human Phenome Institute, Fudan University Shanghai, China. 6. Department of Thoracic Surgery, Navy Military Medical University Affiliated Changhai Hospital Shanghai, China. 7. Department of Respiratory and Critical Care Medicine, Navy Military Medical University Affiliated Changhai Hospital Shanghai, China. 8. Center of Physical Examination, Navy Military Medical University Affiliated Changhai Hospital Shanghai, China.
Abstract
PURPOSE: The 5-year survival rate of patients with lung cancer in China is < 20%, and predicting their prognosis is difficult. Here, we investigated the association between two common non-synonymous single-nucleotide polymorphisms (SNPs) in the excision repair cross-complementing 2 (ERCC2) genes (rs13181 and rs1799793) and the prognosis of patients with lung cancer. METHODS: Genomic DNA was extracted from the blood samples of 839 patients with lung cancer and genotyped using the SNPscan technique. The association between patient prognosis and the ERCC2 genotype was analyzed using a multivariate Cox proportional hazards model adjusted for multiple potential confounders. RESULTS: The presence of ERCC2 rs13181 T>G significantly increased the risk of death (adjust hazard ratio (HR) = 1.29, 95% CI: 1.06-1.56, P = 0.009). Patients with the rs13181 TG genotype (adjust HR = 1.34, 95% CI: 1.08-1.65, P = 0.007) and rs13181 dominant mode TG+GG (adjust HR = 1.33, 95% CI: 1.08-1.63, P = 0.007) had significantly worse overall survival. Moreover, stratified analyses showed that patients with the TG and TG+GG rs13181 genotypes who were male, elderly (≥60 years), had a history of smoking, or without family history of malignant tumors had a significantly increased risk of death. In patients with adenocarcinoma lung cancer (ADC), the rs1799793 genotype CT (adjust HR = 1.49, 95% CI: 1.06-2.09, P = 0.023) and dominant model CT+TT (adjust HR = 1.45, 95% CI = 1.04-2.02, P = 0.027) were associated with an increased risk of death. CONCLUSION: ERCC2 rs13181 and rs1799793 SNPs may be significant prognostic factors for the risk of death among patients with lung cancer. AJTR
PURPOSE: The 5-year survival rate of patients with lung cancer in China is < 20%, and predicting their prognosis is difficult. Here, we investigated the association between two common non-synonymous single-nucleotide polymorphisms (SNPs) in the excision repair cross-complementing 2 (ERCC2) genes (rs13181 and rs1799793) and the prognosis of patients with lung cancer. METHODS: Genomic DNA was extracted from the blood samples of 839 patients with lung cancer and genotyped using the SNPscan technique. The association between patient prognosis and the ERCC2 genotype was analyzed using a multivariate Cox proportional hazards model adjusted for multiple potential confounders. RESULTS: The presence of ERCC2rs13181 T>G significantly increased the risk of death (adjust hazard ratio (HR) = 1.29, 95% CI: 1.06-1.56, P = 0.009). Patients with the rs13181 TG genotype (adjust HR = 1.34, 95% CI: 1.08-1.65, P = 0.007) and rs13181 dominant mode TG+GG (adjust HR = 1.33, 95% CI: 1.08-1.63, P = 0.007) had significantly worse overall survival. Moreover, stratified analyses showed that patients with the TG and TG+GG rs13181 genotypes who were male, elderly (≥60 years), had a history of smoking, or without family history of malignant tumors had a significantly increased risk of death. In patients with adenocarcinoma lung cancer (ADC), the rs1799793 genotype CT (adjust HR = 1.49, 95% CI: 1.06-2.09, P = 0.023) and dominant model CT+TT (adjust HR = 1.45, 95% CI = 1.04-2.02, P = 0.027) were associated with an increased risk of death. CONCLUSION:ERCC2rs13181 and rs1799793 SNPs may be significant prognostic factors for the risk of death among patients with lung cancer. AJTR
Authors: Kim De Ruyck; Marcin Szaumkessel; Isabelle De Rudder; Annelore Dehoorne; Anne Vral; Kathleen Claes; Anja Velghe; Jan Van Meerbeeck; Hubert Thierens Journal: Mutat Res Date: 2007-04-21 Impact factor: 2.433
Authors: Yao-Chen Wang; Shih-Ming Tsao; Yia-Ting Li; Chia-Yi Lee; Thomas Chang-Yao Tsao; Ming-Ju Hsieh; Shun-Fa Yang Journal: Int J Environ Res Public Health Date: 2021-03-11 Impact factor: 3.390