切换至 "中华医学电子期刊资源库"

中华实验和临床感染病杂志(电子版) ›› 2021, Vol. 15 ›› Issue (02) : 78 -85. doi: 10.3877/cma.j.issn.1674-1358.2021.02.002

所属专题: 文献

论著

致癌相关环状RNA在慢性乙型肝炎病毒感染者的表达及临床意义
钱舒然1, 谭婧文1, 王萌婕1, 张思航1, 杨镇英1, 何越峰1, 李晖1,()   
  1. 1. 650021 昆明市,云南大学附属医院/云南省第二人民医院肝病科;650500 昆明市,昆明医科大学
  • 收稿日期:2020-06-09 出版日期:2021-04-15
  • 通信作者: 李晖
  • 基金资助:
    云南省医疗卫生单位内设研究机构科研项目(No. 2018NS0004)

Expression and clinical significance of carcinoma-related circular RNA in patients with chronic hepatitis B virus infection

Shuran Qian1, Jingwen Tan1, Mengjie Wang1, Sihang Zhang1, Zhenying Yang1, Yuefeng He1, Hui Li1,()   

  1. 1. Department of Hepatology, Affiliated Hospital of Yunnan University/The Second People’s Hospital of Yunnan Province, Kunming 650021, China; Kunming Medical University, Kunming 650500, China
  • Received:2020-06-09 Published:2021-04-15
  • Corresponding author: Hui Li
引用本文:

钱舒然, 谭婧文, 王萌婕, 张思航, 杨镇英, 何越峰, 李晖. 致癌相关环状RNA在慢性乙型肝炎病毒感染者的表达及临床意义[J]. 中华实验和临床感染病杂志(电子版), 2021, 15(02): 78-85.

Shuran Qian, Jingwen Tan, Mengjie Wang, Sihang Zhang, Zhenying Yang, Yuefeng He, Hui Li. Expression and clinical significance of carcinoma-related circular RNA in patients with chronic hepatitis B virus infection[J]. Chinese Journal of Experimental and Clinical Infectious Diseases(Electronic Edition), 2021, 15(02): 78-85.

目的

探讨致癌相关环状RNA(circ-ASXL1、circ-BRIP1、circ-CFLAR、circ-LPAR1以及circ-MORC3)在慢性乙型肝炎病毒(HBV)感染者的表达变化及临床意义。

方法

选择云南大学附属医院/云南省第二人民医院2019年5月至12月住院和门诊收治的100例HBV感染者,其中慢性乙型肝炎患者50例(CHB组),HBV携带者50例(HBV携带组),另选择同期50例体检者为健康对照组。采用逆转录-实时荧光定量PCR(qRT-PCR)法检测入组研究对象外周血白细胞内circ-ASXL1、circ-BRIP1、circ-CFLAR、circ-LPAR1和circ-MORC3相对表达水平。采用Spearman相关分析检验circ-ASXL1、circ-BRIP1、circ-CFLAR、circ-LPAR1、circ-MORC3与乙型肝炎病毒表面抗原(HBsAg)浓度、HBV DNA水平的相关性,并应用ROC曲线评估上述环状RNA对于区分CHB患者和HBV携带者的诊断价值。

结果

CHB组、HBV携带者组和健康对照组患者中circ-ASXL1(H = 11.93、P = 0.003)、circ-BRIP1(H = 13.24、P = 0.001)、circ-CFLAR(H = 20.89、P < 0.001)、circ-LPAR1(H = 19.33、P < 0.001)和circ-MORC3(H = 14.81、P = 0.001)表达差异均具有统计学意义。与健康对照组相比,CHB组患者circ-ASXL1(Z =-3.26、P = 0.001)、circ-BRIP1(Z =-3.52、P < 0.001)、circ-CFLAR(Z =-4.23、P < 0.001)、circ-LPAR1(Z =-4.03、P < 0.001)和circ-MORC3(Z = -3.76、P < 0.001)表达水平显著升高,差异有统计学意义;而HBV携带者组的表达与健康对照组差异无统计学意义(P均> 0.05)。CHB患者和HBV携带者的HBsAg浓度与circ-ASXL1(r = 0.261、P = 0.009)、circ-BRIP1(r = 0.287、P = 0.004)、circ-CFLAR(r = 0.211、P = 0.037)、circ-LPAR1(r = 0.213、P = 0.035)和circ-MORC3(r = 0.237、P = 0.019)的表达水平均呈正相关,而HBV DNA水平与circ-ASXL1(r = 0.080、P = 0.430)、circ-BRIP1(r = 0.076、P = 0.454)、circ-CFLAR(r = 0.084、P = 0.406)、circ-LPAR1(r = 0.020、P = 0.846)和circ-MORC3(r = 0.070、P = 0.492)的表达水平无相关性。circ-ASXL1、circ-BRIP1、circ-CFLAR、circ-LPAR1和circ-MORC3区分CHB患者和健康人群的ROC曲线下面积分别为0.69(95%CI:0.59~0.79)、0.70(95%CI:0.60~0.81)、0.75(95%CI:0.65~0.84)、0.73(95%CI:0.64~0.83)和0.72(95%CI:0.62~0.82)。circ-ASXL1、circ-BRIP1、circ-CFLAR、circ-LPAR1和circ-MORC3区分CHB患者和HBV携带者的ROC曲线下面积分别为0.64(95%CI:0.53~0.75)、0.64(95% CI:0.53~0.75)、0.70(95%CI:0.60~0.80)、0.70(95%CI:0.60~0.80)和0.64(95%CI:0.50~0.75)。circ-ASXL1、circ-BRIP1、circ-CFLAR、circ-LPAR1和circ-MORC3区分HBV携带者和健康人群的ROC曲线下面积分别为0.57(95%CI:0.46~0.68)、0.58(95%CI:0.47~0.69)、0.57(95%CI:0.46~0.68)、0.56(95%CI:0.44~0.70)和0.59(95%CI:0.48~0.70)。

结论

circ-ASXL1、circ-BRIP1、circ-CFLAR、circ-LPAR1和circ-MORC3可能与CHB的致病调控相关,可作为生物学标记物区分CHB患者、HBV携带者和健康人群。

Objective

To investigate the differential expression of circular RNA, such as circ-ASXL1, circ-BRIP1, circ-CFLAR, circ-LPAR1 and circ-MORC3 in patients with chronic hepatitis B virus (HBV) infection and their clinical significance.

Methods

Total of 100 patients with HBV infection in Affiliated Hospital of Yunnan University/The Second People’s Hospital of Yunnan Province from May to December 2019 were selected, including 50 patients of chronic hepatitis B (CHB), 50 HBV carriers and 50 healthy controls. Expressions of circ-ASXL1, circ-BRIP1, circ-CFLAR, circ-LPAR1 and circ-MORC3 in peripheral blood leukocytes of all subjects were detected by fluorescence real-time quantitative RT-PCR (qRT-PCR). The correlation between HBV surface antigen (HBsAg) concentration and HBV DNA level and expressions of circ-ASXL1, circ-BRIP1, circ-CFLAR, circ-LPAR1 and circ-MORC3 were analyzed by Spearman correlation analysis. The diagnostic value of these circular RNA in distinguishing between CHB patients and HBV carriers were evaluated by receiver operating characteristic (ROC) curve.

Results

The expressions of circ-ASXL1 (H = 11.93, P = 0.003), circ-BRIP1 (H = 13.24, P = 0.001), circ-CFLAR (H = 20.89, P < 0.001), circ-LPAR1 (H = 19.33, P < 0.001) and circ-MORC3 (H = 14.81, P = 0.001) between patients of CHB group, HBV carriers group and control group were significantly different. The expressions of circ-ASXL1 (Z =-3.26, P = 0.001), circ-BRIP1 (Z =-3.52, P < 0.001), circ-CFLAR (Z =-4.23, P < 0.001), circ-LPAR1 (Z =-4.03, P < 0.001) and circ-MORC3 (Z =-3.76, P < 0.001) in CHB group were significantly higher than those in control group, while there were no significant difference between HBV carriers group and control group (all P > 0.05). The HBsAg concentration had significantly positive relationship with expression levels of circ-ASXL1 (r = 0.261, P = 0.009), circ-BRIP1 (r = 0.287, P = 0.004), circ-CFLAR (r = 0.211, P = 0.037), circ-LPAR1 (r = 0.213, P = 0.035), circ-MORC3 (r = 0.237, P = 0.019) in CHB group and HBV carriers group, but there were no significant correlation between HBV DNA level and expression levels of circ-ASXL1 (r = 0.080, P = 0.430), circ-BRIP1 (r = 0.076, P = 0.454), circ-CFLAR (r = 0.084, P = 0.406), circ-LPAR1 (r = 0.020, P = 0.846), circ-MORC3 (r = 0.070, P = 0.492). The area under the ROC curve of these circRNAs for distinguishing patients of CHB from control were 0.69 (95%CI: 0.59-0.79) for circ-ASXL1; 0.70 (95%CI: 0.60-0.81) for circ-BRIP1; 0.75 (95%CI: 0.65-0.84) for circ-CFLAR, 0.73 (95%CI: 0.64-0.83) for circ-LPAR1; 0.72 (95%CI: 0.62-0.82) for circ-MORC3. The area under the ROC curve of these circRNAs for distinguishing patients of CHB from HBV carriers were 0.64 (95%CI: 0.53-0.75) for circ-ASXL1, 0.64 (95%CI: 0.53-0.75) for circ-BRIP1, 0.70 (95%CI: 0.60-0.80) for circ-CFLAR, 0.70 (95%CI: 0.60-0.80) for circ-LPAR1, 0.64 (95%CI: 0.50-0.75) for circ-MORC3. The area under the ROC curve of these circRNAs for distinguishing patients of HBV carriers from control were 0.57 (95%CI: 0.46-0.68) for circ-ASXL1, 0.58 (95%CI: 0.47-0.69) for circ-BRIP1, 0.57 (95%CI: 0.46-0.680) for circ-CFLAR, 0.56 (95%CI: 0.44-0.70) for circ-LPAR1, 0.59 (95%CI: 0.48-0.70) for circ-MORC3.

Conclusions

circ-ASXL1, circ-BRIP1, circ-CFLAR, circ-LPAR1 and circ-MORC3 may be involved in the pathogenic regulation of CHB and could be used as biological markers to distinguish patients of CHB, HBV carriers and healthy controls.

表1 circ-ASXL1、circ-BRIP1、circ-CFLAR、circ-LPAR1和circ-MORC3引物序列
表2 5种环状RNA在各组研究对象白细胞中的表达[M(P25,P75)]
图1 5种circRNA与HBsAg浓度相关性分析
图2 5种circRNA与HBV DNA水平相关性分析
表3 5种环状RNA与HBV DNA、HBsAg相关性分析
图3 5种circRNA区分CHB患者和健康人群的ROC曲线
表4 5种环状RNA的诊断效能
图4 5种circRNA区分CHB患者和HBV携带者的ROC曲线
图5 5种circRNA区分HBV携带者和健康人群的ROC曲线
[1]
Hadziyannis E, Laras A. Viral biomarkers in chronic HBeAg negative HBV infection[J]. Genes,2018,9(10):469.
[2]
曾奇虎, 翁静飞, 李小林, 等. 环状RNA的研究进展[J]. 海南医学,2019,30(18):2427-2430.
[3]
张梦洁, 缪红军. 环状RNA在免疫应答及肺部感染性疾病中的作用[J]. 医学综述,2019,25(7):1287-1291.
[4]
Zhang L, Wang Z. Circular RNA hsa_circ_0004812 impairs IFN-induced immune response by sponging miR-1287-5p to regulate FSTL1 in chronic hepatitis B[J]. Virol J,2020,17(1):33-42.
[5]
张蕾, 张克明, 方文捷, 等. 环状RNA在人类疾病中的作用及研究进展[J]. 菌物学报,2019,38(8):1213-1222.
[6]
Xu L, Feng X, Hao X, et al. CircSETD3 (Hsa_circ_0000567) acts as a sponge for microRNA-421 inhibiting hepatocellular carcinoma growth[J]. J Exp Clin Cancer Res,2019,38(1):98.
[7]
毛莉莎, 宋庆峰, 马天骏, 等. HBV感染所致免疫失衡与肝细胞癌的研究进展[J]. 中国癌症防治杂志,2020,12(2):232-236.
[8]
Memczak S, Papavasileiou P, Peters O, et al. Identification and characterization of circular RNAs as a new class of putative biomarkers in human blood[J]. PLoS One,2015,10(10):e141214.
[9]
中华医学会肝病学分会, 中华医学会感染病学分会. 慢性乙型肝炎防治指南(2015年版)[J/CD]. 中国肝脏病杂志(电子版),2015,7(3):1-18.
[10]
金丕焕主编. 医用统计方法[M]. 2版. 复旦大学出版社,2003:428-431.
[11]
Zheng Q, Bao C, Guo W, et al. Circular RNA profiling reveals an abundant circHIPK3 that regulates cell growth by sponging multiple miRNAs[J]. Nat Commun,2016,7(1):453-461.
[12]
Song H, Liu Q, Liao Q. Circular RNA and tumor microenvironment[J]. Cancer Cell Int,2020,20:211.
[13]
Ghosal S, Das S, Sen R, et al. HumanViCe: host ceRNA network in virus infected cells in human[J]. Front Genet,2014,5:249-261.
[14]
王贵强, 王福生, 庄辉, 等. 慢性乙型肝炎防治指南(2019年版)[J/CD]. 中华实验和临床感染病杂志(电子版),2019,13(6):441-466.
[15]
Huang XY, Zhang PF, Wei CY, et al. Circular RNA circMET drives immunosuppression and anti-PD1 therapy resistance in hepatocellular carcinoma via the miR-30-5p/snail/DPP4 axis[J]. Mol Cancer,2020,19(8):394-424.
[16]
Zhou J, Li X, Wu X, et al. Exosomes released from tumor-associated macrophages transfer miRNAs that induce a Treg/Th17 cell imbalance in epithelial ovarian cancer[J]. Cancer Immunol Res,2018,6(12):1578-1592.
[17]
Tang G, Xie W, Qin C, et al. Expression of circular RNA circASXL1 correlates with TNM classification and predicts overall survival in bladder cancer[J]. Int J Clin Exp Pathol,2017,10(8):8495-8502.
[18]
Guo Y, Huang Q, Zheng J, et al. Diagnostic significance of downregulated circMORC3 as a molecular biomarker of hypopharyngeal squamous cell carcinoma: a pilot study[J]. Cancer Manag Res,2020,12:43-49.
[19]
Lin G, Sheng H, Xie H, et al. circLPAR1 is a novel biomarker of prognosis for muscle-invasive bladder cancer with invasion and metastasis by miR-762[J]. Oncol Lett,2019,17(3):3537-3547.
[20]
Suszynska M, Ratajska M, Kozlowski P. BRIP1, RAD51C, and RAD51D mutations are associated with high susceptibility to ovarian cancer: mutation prevalence and precise risk estimates based on a pooled analysis of ~30, 000 cases[J]. J Ovarian Res,2020,13(1):50.
[21]
Ali M, Delozier CD, Chaudhary U. BRIP-1 germline mutation and its role in colon cancer: presentation of two case reports and review of literature[J]. BMC Med Genet,2019,20(1):75.
[22]
Faiz A, Heijink IH, Vermeulen CJ, et al. Cigarette smoke exposure decreases CFLAR expression in the bronchial epithelium, augmenting susceptibility for lung epithelial cell death and DAMP release[J]. Sci Rep,2018,8(1):12426.
[23]
Zheng H, Zhang Y, Zhan Y, et al. Expression of DR5 and cFLIP proteins as novel prognostic biomarkers for nonsmall cell lung cancer patients treated with surgical resection and chemotherapy[J]. Oncol Rep,2019,42(6):2363-2370.
[24]
Wang Y, Li Z, Xu S, et al. Novel potential tumor biomarkers: Circular RNAs and exosomal circular RNAs in gastrointestinal malignancies[J]. J Clin Lab Anal,2020,34(7):e23359.
[25]
于德敏, 张欣欣. 血清HBsAg定量检测在慢性乙型肝炎临床诊疗中的应用及其意义[J]. 临床肝胆病杂志,2019,35(10):2150-2155.
[26]
Wang M, Gu B, Yao G, et al. Circular RNA expression profiles and the pro-tumorigenic function of circRNA_10156 in hepatitis B virus-related liver cancer[J]. Int J Med Sci,2020,17(10):1351-1365.
[27]
Zhou TC, Li X, Chen LJ, et al. Differential expression profile of hepatic circular RNAs in chronic hepatitis B[J]. J Viral Hepat,2018,25(11):1341-1351.
[1] 高建松, 陈晓晓, 冯婷, 包剑锋, 魏淑芳, 潘林. 基于超声瞬时弹性成像的多参数决策树模型评估慢性乙型肝炎患者肝纤维化等级[J]. 中华医学超声杂志(电子版), 2023, 20(09): 923-929.
[2] 韩春茂. 解决慢性创面患者医疗服务最后一公里[J]. 中华损伤与修复杂志(电子版), 2023, 18(05): 460-460.
[3] 王鹏, 肖厚安, 贾赤宇. 不同因素调控巨噬细胞极化在慢性难愈性创面中的研究进展[J]. 中华损伤与修复杂志(电子版), 2023, 18(05): 454-459.
[4] 李兆明, 章颖, 刘先进. 血小板计数、红细胞分布宽度对急性戊型肝炎肝衰竭患者预后的预测价值[J]. 中华实验和临床感染病杂志(电子版), 2023, 17(05): 307-314.
[5] 张小曼, 马筱秋, 许正锯, 张纯瑜, 何彩婷. 乙型肝炎病毒逆转录酶区耐药突变对血清乙型肝炎病毒表面抗原水平的影响[J]. 中华实验和临床感染病杂志(电子版), 2023, 17(05): 324-332.
[6] 张潇尹, 于洋. 牙龈卟啉单胞菌介导慢性肾病发生发展的研究进展[J]. 中华口腔医学研究杂志(电子版), 2023, 17(05): 328-334.
[7] 吴方园, 孙霞, 林昌锋, 张震生. HBV相关肝硬化合并急性上消化道出血的危险因素分析[J]. 中华普外科手术学杂志(电子版), 2024, 18(01): 45-47.
[8] 范铁艳, 李君, 陈虹. 肝移植术后新发戊型病毒性肝炎的诊治经验[J]. 中华移植杂志(电子版), 2023, 17(05): 293-296.
[9] 周川鹏, 杨浩, 魏微阳, 王奇, 黄亚强. 微创与标准通道经皮肾镜治疗肾结石合并肾功能不全的对比研究[J]. 中华腔镜泌尿外科杂志(电子版), 2023, 17(05): 470-475.
[10] 何吉鑫, 杨燕妮, 王继伟, 李建国, 谢铭. 肠道菌群及肠道代谢产物参与慢性便秘发生机制的研究进展[J]. 中华结直肠疾病电子杂志, 2023, 12(06): 495-499.
[11] 范博洋, 王宁, 张骞, 王贵玉. 结直肠癌转移调控的环状RNA分子机制研究进展[J]. 中华结直肠疾病电子杂志, 2023, 12(05): 426-430.
[12] 易成, 韦伟, 赵宇亮. 急性肾脏病的概念沿革[J]. 中华临床医师杂志(电子版), 2023, 17(08): 906-910.
[13] 周婷, 孙培培, 张二明, 安欣华, 向平超. 北京市石景山区40岁及以上居民慢性阻塞性肺疾病诊断现状调查[J]. 中华临床医师杂志(电子版), 2023, 17(07): 790-797.
[14] 孔凡彪, 杨建荣. 肝脏基础疾病与结直肠癌肝转移之间关系的研究进展[J]. 中华临床医师杂志(电子版), 2023, 17(07): 818-822.
[15] 孙培培, 张二明, 时延伟, 赵春燕, 宋萍萍, 张硕, 张克, 周玉娇, 赵璨, 闫维, 吴蓉菊, 宋丽萍, 郭伟安, 马石头, 安欣华, 包曹歆, 向平超. 北京市石景山区40岁及以上居民慢性阻塞性肺疾病患病情况及相关危险因素分析[J]. 中华临床医师杂志(电子版), 2023, 17(06): 711-719.
阅读次数
全文


摘要