国际肿瘤学杂志

国际肿瘤学杂志 ›› 2019, Vol. 46 ›› Issue (9): 558-561.doi: 10.3760/cma.j.issn.1673-422X.2019.09.010

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慢性乙型肝炎病毒感染患者发生肝细胞肝癌风险预测的研究进展

陈文军1,王俊娟2,祁建妮3,董崇海1,秦成勇3   

  1. 1青岛大学附属威海市立第二医院消化内科，威海264200； 2青岛大学附属威海市立第二医院儿童康复科，威海264200； 3山东大学附属山东省立医院中心实验室，济南250021
  • 收稿日期:2019-04-30 出版日期:2019-09-08 发布日期:2019-09-08
  • 通讯作者: 陈文军 E-mail:chwhju@163.com

Advancement of the risk prediction of hepatocellular carcinoma in patients with chronic hepatitis B virus infection

Chen Wenjun1, Wang Junjuan2, Qi Jianni3, Dong Chonghai1, Qin Chengyong3   

  1. 1Department of Gastroenterology, Affiliated Weihai Second Municipal Hospital of Qingdao University, Weihai 264200, China;  2Department of Child Rehabilition, Affiliated Weihai Second Municipal Hospital of Qingdao University, Weihai 264200, China; 3Department of Central Laboratory, Shandong Provincial Hospital Affiliated to Shandong University, Jinan 250021, China
  • Received:2019-04-30 Online:2019-09-08 Published:2019-09-08
  • Contact: Chen Wenjun E-mail:chwhju@163.com

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摘要： 预测慢性乙型肝炎病毒感染患者发生肝细胞肝癌（HCC）的风险在临床上具有重要意义。各种危险评分系统通过整合多种危险因素对患者进行风险评分可以达到较高的预测效果，但还需不断完善。近来研究发现，某些基因型及基因变异与HCC的发生相关，从而可以预测HCC的发生。既往认识的指标或一些新发现的指标如WFA+M2BP可以单独或联合其他指标用于预测HCC的发生。随着研究的不断深入，将有更多的基因、指标及新构建的评分系统在临床上被应用于预测HCC的发生。

关键词: 乙型肝炎病毒, 感染, 癌, 肝细胞, 危险性评估

Abstract: It is of important significant to predict the risk of hepatocellular carcinoma (HCC) in patients with chronic hepatitis B virus infection in clinic. Various risks scoring systems can achieve better prediction effect by integrating a variety of risk factors, but they still need to be perfected. Recent researches have found that some genotypes and genetic variations are associated with the occurrence of HCC and they can indicate the tumorigenesis of HCC. Some known or newly discovered indicators such as WFA+M2BP can be used to predict the occurrence of HCC independently or jointly. With the development of research, more genes, indicators as well as newly built scoring system will be utilized to predict the occurrence of HCC in clinic.

Key words: Hepatitis B virus, Infection, Carcinoma, hepatocellular, Risk assessment