Browsing by Author "Yuan, Jing"
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Item Open Access Genetic correction improves prediction efficiency of serum tumor biomarkers on digestive cancer risk in the elderly Chinese cohort study.(Oncotarget, 2018-01) Wang, Ke; Bai, Yansen; Chen, Shi; Huang, Jiao; Yuan, Jing; Chen, Weihong; Yao, Ping; Miao, Xiaoping; Wang, Youjie; Liang, Yuan; Zhang, Xiaomin; He, Meian; Yang, Handong; Wei, Qingyi; Guo, Huan; Wei, ShengAlthough serum tumor biomarkers alpha-fetoprotein (AFP), carbohydrate antigen 19-9 (CA19-9) and carcinoembryonic antigen (CEA) have been used in digestive cancer risk prediction, the prediction efficiency remains unsatisfactory. The aim of this study was to evaluate whether genetic correction could improve the efficiency of these biomarkers for prediction of digestive cancer risk. We conducted a prospective analysis in 9,808 healthy individuals based on a cohort study in the elderly Chinese population. The genotypes of reported single nucleotide polymorphisms (SNPs) associated with serum AFP, CA19-9 and CEA were used to estimate the genetic corrected levels of these markers. Unconditional logistic regression analysis was performed to evaluate the risk of digestive cancer. The Harrell's C-statistic was used to evaluate the discriminative ability of the raw levels and genetic corrected levels of biomarkers on digestive cancer risk. Up to October 2013, a total of 172 individuals were newly diagnosed with digestive cancer. With the genetic correction, higher odds ratios (ORs) for digestive cancer risk were found for the genetic corrected levels of tumor biomarkers compared with their raw serum levels (1.57 vs. 1.65 for AFP; 1.19 vs. 1.21 for CA19-9; 1.09 vs. 1.10 for CEA, respectively). The same results were observed in the Harrell's C-statistic analyses. Genetic correction improved the prediction efficiency of tumor biomarkers on the digestive cancer risk in an elderly Chinese population. Our findings provide evidence for further studies of genetic effects on tumor biomarker to improve the predictive efficiency on cancer risk.Item Open Access Sequence variations in DNA repair gene XPC is associated with lung cancer risk in a Chinese population: a case-control study.(BMC cancer, 2007-01) Bai, Yun; Xu, Liang; Yang, Xiaobo; Hu, Zhibin; Yuan, Jing; Wang, Feng; Shao, Minhua; Yuan, Wentao; Qian, Ji; Ma, Hongxia; Wang, Ying; Liu, Hongliang; Chen, Weihong; Yang, Lin; Jing, Guangfu; Huo, Xiang; Chen, Feng; Liu, Yanhong; Jin, Li; Wei, Qingyi; Huang, Wei; Shen, Hongbing; Lu, Daru; Wu, TangchunBACKGROUND: The nucleotide excision repair (NER) protein, xeroderma pigmentosum C (XPC), participates in recognizing DNA lesions and initiating DNA repair in response to DNA damage. Because mutations in XPC cause a high risk of cancer in XP patients, we hypothesized that inherited sequence variations in XPC may alter DNA repair and thus susceptibility to cancer. METHODS: In this hospital-based case-control study, we investigated five XPC tagging, common single nucleotide polymorphisms (tagging SNPs) in 1,010 patients with newly diagnosed lung cancer and 1,011 matched cancer free controls in a Chinese population. RESULTS: In individual tagging SNP analysis, we found that rs3731055AG+AA variant genotypes were associated with a significantly decreased risk of lung adenocarcinoma [adjusted odds ratio (OR), 0.71; 95% confidence interval (CI), 0.56-0.90] but an increased risk of small cell carcinomas [adjusted OR, 1.79; 95% CI, 1.05-3.07]. Furthermore, we found that haplotype ACCCA was associated with a decreased risk of lung adenocarcinoma [OR, 0.78; 95% CI, 0.62-0.97] but an increased risk of small cell carcinomas [OR, 1.68; 95% CI, 1.04-2.71], which reflected the presence of rs3731055A allele in this haplotype. Further stratified analysis revealed that the protective effect of rs3731055AG+AA on risk of lung adenocarcinoma was more evident among young subjects (age < or= 60) and never smokers. CONCLUSION: These results suggest that inherited sequence variations in XPC may modulate risk of lung cancer, especially lung adenocarcinoma, in Chinese populations. However, these findings need to be verified in larger confirmatory studies with more comprehensively selected tagging SNPs.