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血浆循环核酸应用于肝细胞癌诊断与预后评价的初步探索

王瑨 柳俨哲 陈况 钱自亮 胡明根

王瑨, 柳俨哲, 陈况, 钱自亮, 胡明根. 血浆循环核酸应用于肝细胞癌诊断与预后评价的初步探索[J]. 解放军医学院学报, 2021, 42(1): 10-16. doi: 10.3969/j.issn.2095-5227.2021.01.003
引用本文: 王瑨, 柳俨哲, 陈况, 钱自亮, 胡明根. 血浆循环核酸应用于肝细胞癌诊断与预后评价的初步探索[J]. 解放军医学院学报, 2021, 42(1): 10-16. doi: 10.3969/j.issn.2095-5227.2021.01.003
WANG Jin, LIU Yanzhe, CHEN Kuang, QIAN Ziliang, HU Minggen. cfDNA in diagnosis and prognosis prediction of hepatocellular carcinoma[J]. ACADEMIC JOURNAL OF CHINESE PLA MEDICAL SCHOOL, 2021, 42(1): 10-16. doi: 10.3969/j.issn.2095-5227.2021.01.003
Citation: WANG Jin, LIU Yanzhe, CHEN Kuang, QIAN Ziliang, HU Minggen. cfDNA in diagnosis and prognosis prediction of hepatocellular carcinoma[J]. ACADEMIC JOURNAL OF CHINESE PLA MEDICAL SCHOOL, 2021, 42(1): 10-16. doi: 10.3969/j.issn.2095-5227.2021.01.003

血浆循环核酸应用于肝细胞癌诊断与预后评价的初步探索

doi: 10.3969/j.issn.2095-5227.2021.01.003
基金项目: 国家科技重大专项基金(2018ZX10302-204-003)
详细信息
    作者简介:

    王瑨,男,硕士,医师。Email: titlyeo@foxmail.com

    通讯作者:

    胡明根,男,博士,主任医师,硕士生导师。Email: hmg301@126.com

  • 中图分类号: R 735.7;R 730.43

cfDNA in diagnosis and prognosis prediction of hepatocellular carcinoma

Funds: Supported by National Science and Technology Major Project (2018ZX10302-204-003)
More Information
  • 摘要:   背景  以肝细胞肝癌(hepatocellular carcinoma,HCC)为主的肝肿瘤在中国人死亡危险因素中排第5位,肝细胞肝癌的5年生存率仅为12.5%,对确诊肝癌的患者进行分级治疗显得尤为重要。目前仍然没有被广泛接受可以在术前对肝细胞肝癌患者的微血管浸润(microvascular invasion,MVI)进行精准预测的方法。  目的  探讨血浆循环核酸(circulating free DNA,cfDNA)在术前预测肝细胞肝癌微血管浸润风险中的作用。  方法  连续收集解放军总医院第一医学中心肝胆外科2019年3 - 10月61例肝肿瘤患者术前外周血标本,根据术后病理结果选取其中43例诊断为肝细胞肝癌和6例良性肿瘤的患者进行基因组测序,并进行了染色体不稳定分析,即超灵敏染色体非整倍体检测(ultrasensitive-chromosomal aneuploidy detector,UCAD)得到染色体不稳定性(chromosome instability,CIN)评分,该评分是对比患者cfDNA与人类正常基因组的测序结果,通过数学方法计算出患者循环核酸不稳定性的程度。分析CIN对于诊断HCC、预测MVI及术后复发的价值。  结果  对患者的CIN评分进行log10转换后,HCC患者的CIN评分高于良性病变患者,差异有统计学意义(3.152±0.421 vs 2.282±0.099,P=0.032)。血浆CIN评分 ≥ 1 697.5预测MVI阳性的敏感度为76.9%,特异性为86.7%,优于甲胎蛋白以及现有的预测模型。所有患者中位随访时间5个月,14例血浆CIN评分 ≥ 1 697.5的HCC患者中有5例在半年内复发(35.7%),而29例CIN评分较低(<1 697.5)的患者仅有2例(5.71%)复发(P=0.019)。  结论  cfDNA染色体不稳定性评分 ≥ 1 697.5可在术前预测肝癌患者发生MVI的风险,优于现有的预测指标,并且提示术后早期复发的风险。

     

  • 图  1  染色体拷贝数变异覆盖率图示(A:HCC患者;B:良性肿瘤患者)

    Figure  1.  Chromosome copy number coverage chart (A: HCC patients; B: Benign tumor patients)

    图  2  49例患者的染色体不稳定性评分及ROC曲线

    A:HCC患者及良性肿瘤患者CIN评分比较;B:CIN评分为788.8时预测HCC的能力

    Figure  2.  Results of CIN scores and ROC curves in 49 patients

    A: Comparison of CIN score between the HCC patients and the benign tumor patients; B: Ability to predict HCC with CIN score of 788.8

    图  3  CIN评分与微血管侵犯的相关性

    A:不同MVI程度患者以及良性肿瘤患者CIN平均值;B:CIN评分 ≥ 1 679.5预测MVI;C:CIN评分 ≥ 1 679.5预测MVI 2

    Figure  3.  Correlation between CIN scores and MVI

    A: Mean CIN of patients with different degrees of MVI and benign tumors; B: CIN score ≥ 1 679.5 in predicton of MVI; C: CIN score ≥ 1 679.5 in predicton of MVI 2

    图  4  CIN高评分(≥ 1 679.5)与术后复发的相关性

    A:HCC患者的CIN评分与术后随访,其中黑色线代表CIN高评分,蓝色系代表CIN低评分,红色线代表肿瘤复发,绿色线代表未复发;B:HCC患者术后无病生存曲线,红色代表CIN低评分,蓝色代表CIN高评分

    Figure  4.  Correlation between CIN ≥ 1 679.5 and postoperative recurrence

    A: CIN score and postoperative follow-up of HCC patients, in which the black line represents the CIN high score, the blue line represents the CIN low score, the red line represents tumor recurrence, and the green line represents no recurrence; B: Postoperative disease-free survival curve for HCC patients, with red representing low CIN score and blue representing high CIN score

    表  1  HCC患者各项临床指标与CIN评分的关系(n)

    Table  1.   Relationship between clinical indicators and CIN score in the HCC patients (n)

    CharacteristiccfDNA CIN
    PositiveNegativeχ2P
    Age0.0440.834
      ≥57 yrs 11 6
      < 57 yrs1610
    Gender0.635
     Male2315
     Female 4 1
    Tumor size0.001
      ≥ 5 cm16 1
      3 - 5 cm 7 6
      < 3 cm 4 9
    AFP0.033
      ≥ 200 ng/μL10 1
      < 200 ng/μL1715
    MVI0.139
     2 4 0
     1 7 2
     01614
    HBV cps0.719
      >1×103 7 3
      <1×1032013
    Count of lesions0.695
     Multiple 5 2
     Single2214
    − calculated by Fisher’s exact test.
    下载: 导出CSV

    表  2  各项检查指标与MVI的关系

    Table  2.   Relationship between each index and MVI

    VariablePredict MVI (M1+M2)Predict M2
    POR95% CIPOR95% CI
    cfDNA CIN0.0072.091.27,3.760.0741.880.96,4.12
    CTC0.1553.460.94,54.180.9970.00
    AFP0.0751.170.99,1.390.1511.200.94,1.59
    ALP0.0661.021.00,1.050.0591.041.00,1.10
    BIL0.5891.030.93,1.130.2331.080.94,1.20
    ALB0.8201.010.90,1.150.3491.120.92,1.50
    AST0.9971.000.96,1.030.9211.000.92,1.00
    ALT0.7811.000.96,1.020.5480.980.91,1.00
    GGT0.7191.000.99,1.010.3911.010.99,1.00
    HBV>
     1 000 cps
    0.6381.00NA,1.000.7221.00NA,1.00
    Size0.1881.130.95,1.370.3251.120.86,1.40
    Age>57 yrs0.1470.950.88,1.010.5220.970.85,1.10
    Gender (male)0.6151.640.20,11.240.3992.920.13,30.00
    下载: 导出CSV
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出版历程
  • 收稿日期:  2020-11-08
  • 网络出版日期:  2021-03-01
  • 刊出日期:  2021-01-28

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