Xie Ying, Liu Shufeng, Zhao Yufei, Zhang Lan, Zhao Yue, Liu Binghui, Guo Zhanjun
Hebei Key Lab of Laboratory Animal Science, Hebei Medical University, Shijiazhuang, Hebei Province, P.R. China; Institute of Laboratory Animal Science, Peking Union Medical College, Peking, P.R. China.
Hebei Key Lab of Laboratory Animal Science, Hebei Medical University, Shijiazhuang, Hebei Province, P.R. China.
PLoS One. 2015 Jul 24;10(7):e0133393. doi: 10.1371/journal.pone.0133393. eCollection 2015.
Hepatitis B virus (HBV) DNA is prone to mutations because of the proofreading deficiencies of HBV polymerase. We have identified hepatocellular carcinoma (HCC) survival-associated HBV mutations in the X protein region of HBV DNA. In the present study, we extend our research to assess HCC survival-associated HBV mutations in the HBV precore/core (PreC/C) region. The PreC/C region was amplified and sequenced and the HBV mutations were identified according to the NCBI database (http://www.ncbi.nlm.nih.gov/genome/5536). The relationships between the mutations in the PreC/C region and HCC survival were analyzed. Survival curves were generated using the Kaplan-Meier method, and comparisons between the curves were made using the log-rank test. Multivariate survival analysis was performed using a Cox proportional hazards model. After adjusting for clinical characteristics, the 1915, 2134, 2221, 2245 and 2288 mutational sites were identified as statistically significant independent predictors of HCC survival by multivariate survival analysis using a Cox proportional hazards model. In addition, the mutational site of 1896 was identified for its association with survival at a borderline significance level. A total of five mutations in the precore/core region were identified as independent predictors of postoperative survival in HCC patients. The analysis of HBV DNA mutations may help identify patient subgroups with poor prognosis and may help refine therapeutic decisions regarding HCC patients.
由于乙肝病毒(HBV)聚合酶的校对缺陷,HBV DNA容易发生突变。我们已经在HBV DNA的X蛋白区域鉴定出与肝细胞癌(HCC)生存相关的HBV突变。在本研究中,我们将研究扩展至评估HBV前核心/核心(PreC/C)区域中与HCC生存相关的HBV突变。对PreC/C区域进行扩增和测序,并根据NCBI数据库(http://www.ncbi.nlm.nih.gov/genome/5536)鉴定HBV突变。分析PreC/C区域突变与HCC生存之间的关系。使用Kaplan-Meier方法生成生存曲线,并使用对数秩检验对曲线进行比较。使用Cox比例风险模型进行多变量生存分析。在调整临床特征后,通过使用Cox比例风险模型的多变量生存分析,将1915、2134、2221、2245和2288突变位点确定为HCC生存的统计学显著独立预测因子。此外,1896突变位点因其与生存的关联在临界显著性水平被鉴定出来。前核心/核心区域总共五个突变被确定为HCC患者术后生存的独立预测因子。对HBV DNA突变的分析可能有助于识别预后不良的患者亚组,并可能有助于完善针对HCC患者的治疗决策。