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    肿瘤患者感染HBV基因型及耐药突变与病毒再激活的相关性分析

    Correlation analysis of HBV genotypes and drug resistance mutations with viral reactivation in tumor patients

    • 摘要: 目的 分析肿瘤患者感染乙型肝炎病毒(HBV)基因型及耐药突变与HBV再激活(HBVr)的相关性,为临床肿瘤患者抗病毒治疗及预防HBVr提供依据。方法 收集2019年1月—2022年12月130例住院肿瘤患者HBV-DNA阳性血清标本(其中HBVr组26例,non-HBVr组104例)。首先采用聚合酶链式反应-限制性片段长度多态性(PCR-RFLP)法进行HBV基因的分型,其次采用巢式PCR扩增聚合酶逆转录(RT)区基因,PCR产物采用Sanger法测序以分析RT区基因序列耐药相关突变位点和耐药情况。测序结果分析采用Mega11.0软件进行RT区序列比对分析。采用SPSS19.0软件进行统计学分析。结果 130例肿瘤患者HBV中B型16例,C型100例,B+C型14例,C基因型为优势基因型(P<0.001)。RT区检出耐药突变34例(26.15%),包括13种耐药突变类型和3种突变模式,均以C型为主。其中阿德福韦酯(ADV)主要是rtN236TrtV214E/AS219A+L217R;拉米夫定(LAM)主要是rtLI80M+M204I/VA181S+T184 ;恩替卡韦(ETV)主要是S219A+L217RrtLI80M+M204V +S202G/I ;替比夫定(LdT)主要是rtLI80M+M204I。其中能引起对应HBsAg变异的有A181VM204V M204IrtS202I等,其中M204I对应有2种HBsAg氨基酸(Aa)改变:sW196L或sW196* (Aa终止)。HBVr组与non-HBVr组患者HBV基因型差异无统计学意义(P>0.05);HBVr组与non-HBVr组患者HBV RT区耐药突变模式差异有统计学意义(P<0.05);HBVr组与non-HBVr组中患者RT区耐药情况的差异差异有统计学意义(P<0.05)。肝癌患者与其他肿瘤患者HBV基因型分布差异无统计学意义(P>0.05);肝癌患者与其他肿瘤患者在HBVr 组与non-HBVr组中分布差异无统计学意义(P>0.05)。结论 HBV基因型与HBVr不具有相关性,RT区耐药突变与HBVr具有显著的相关性。建议对HBV感染的肿瘤患者RT区耐药突变进行监测或使用高耐药屏障的NAs抗病毒治疗和预防HBVr。

       

      Abstract: Objective To analyze the correlation between hepatitis B virus (HBV) genotypes and drug-resistance mutations with HBV reactivation (HBVr) in tumor patients, and to provide evidence for antiviral treatment and prevention of HBVr in clinical oncology practice. Methods Methods A total of 130 serum samples positive for HBV-DNA were collected from hospitalized tumor patients between January 2019 and December 2022, including 26 cases in the HBVr group and 104 cases in the non-HBVr group. HBV genotyping was performed using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). The reverse transcriptase (RT) region of the polymerase gene was amplified by nested PCR, and Sanger sequencing was conducted to identify resistance-associated mutations and drug-resistance profiles. The sequencing results were analyzed using MEGA 11.0 software to compare RT region sequences. Statistical analyses were performed using SPSS 19.0 software. Results Among the 130 tumor patients with HBV infection, 16 cases were genotype B, 100 were genotype C, and 14 were mixed B+C, with genotype C as the predominant type (P<0.001). Drug-resistance mutations in the RT region were detected in 34 cases (26.15%), involving 13 types of resistance mutations and 3 mutation patterns, mainly in genotype C. The major mutations were as follows: for ADV, rtN236T, rtV214E/A, and S219A+L217R; for LAM, rtL180M+M204I/V and A181S+T184 ; for ETV, S219A+L217R and rtL180M+M204V +S202G/I ; and for LdT, rtL180M+M204I. Mutations associated with corresponding HBsAg variations included A181V, M204V , M204I, and rtS202I, with M204I causing two amino acid (Aa) changes in HBsAg: sW196L or sW196* (stop codon). There was no significant difference in HBV genotype distribution between the HBVr and non-HBVr groups (P>0.05), but significant differences were found in RT region drug-resistance mutation patterns and overall drug-resistance rates between the two groups (P<0.05). No significant difference in genotype distribution was observed between hepatocellular carcinoma and other tumor patients (P>0.05), nor in the distribution of HBVr and non-HBVr subgroups within these populations (P>0.05). Conclusions HBV genotype is not significantly associated with HBVr, whereas drug-resistance mutations in the RT region show a significant correlation with HBVr. It is recommended that HBV-infected tumor patients undergo monitoring for RT region drug-resistance mutations or receive antiviral therapy using nucleos(t)ide analogs (NAs) with a high genetic barrier to resistance to prevent HBVr.

       

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