Suppr超能文献

ERCC1和XPD基因多态性对中国非小细胞肺癌患者化疗生存的预测作用

Predictive role of ERCC1 and XPD genetic polymorphisms in survival of Chinese non-small cell lung cancer patients receiving chemotherapy.

作者信息

Zhang Zhen-Yong, Tian Xin, Wu Rong, Liang Yuan, Jin Xue-Ying

机构信息

Oncology Department, Shengjing Hospital Affiliated to China Medical University, Shenyang, China.

出版信息

Asian Pac J Cancer Prev. 2012;13(6):2583-6. doi: 10.7314/apjcp.2012.13.6.2583.

Abstract

AIM

There is increasing evidence that ERCC1 and XPD have roles in response to chemotherapy among patients with NSCLC, but the results are conflicting. Therefore, we conducted the present prospective study in a Chinese population.

METHODS

A total of 632 primary NSCLC patients were included, followed-up from May 2006 to May 2011. Polymorphisms were detected by real time PCR with TaqMan probse, using genomic DNA extracted from peripheral blood samples. The Cox regression model was used to analyze the hazard ratios (HR) for ERCC1 and XPD.

RESULTS

The median time of follow-up was 31.6 months. Our results showed the ERCC1 118 T/T(HR=1.65, 95% CI=1.17-2.43) and XPD 751 Gln/ Gln genotypes (HR=1.52, 95%CI=1.04-2.08) were associated with an increased risk of death from NSCLC. Moreover, the ERCC118 T allele and XPD 751 Gln allele genotypes had a more higher risk of death from NSCLC among both ex-smokers and current smokers.

CONCLUSION

In summary, ERCC1 and XPD gene polymorphisms might provide better prognostic predictive information for NSCLC patients in Chinese populations, with smoking possibly interacting with the genotypes.

摘要

目的

越来越多的证据表明,ERCC1和XPD在非小细胞肺癌(NSCLC)患者对化疗的反应中起作用,但结果相互矛盾。因此,我们在中国人群中进行了本前瞻性研究。

方法

共纳入632例原发性NSCLC患者,随访时间从2006年5月至2011年5月。使用从外周血样本中提取的基因组DNA,通过TaqMan探针实时PCR检测多态性。采用Cox回归模型分析ERCC1和XPD的风险比(HR)。

结果

中位随访时间为31.6个月。我们的结果显示,ERCC1 118 T/T(HR=1.65,95%CI=1.17-2.43)和XPD 751 Gln/Gln基因型(HR=1.52,95%CI=1.04-2.08)与NSCLC死亡风险增加相关。此外,ERCC1 118 T等位基因和XPD 751 Gln等位基因基因型在既往吸烟者和当前吸烟者中NSCLC死亡风险更高。

结论

总之,ERCC1和XPD基因多态性可能为中国人群中的NSCLC患者提供更好的预后预测信息,吸烟可能与基因型相互作用。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验