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维生素K缺乏或拮抗剂-II诱导蛋白与甲胎蛋白在肝细胞癌诊断中的比较:一项Meta分析的系统评价

Protein Induced by Vitamin K Absence or Antagonist-II Versus Alpha-Fetoprotein in the Diagnosis of Hepatocellular Carcinoma: A Systematic Review With Meta-Analysis.

作者信息

Kobeissy Abdallah, Merza Nooraldin, Al-Hillan Alsadiq, Boujemaa Safa, Ahmed Zohaib, Nawras Mohamad, Albaaj Mohammed, Dahiya Dushyant Singh, Alastal Yaseen, Hassan Mona

机构信息

Department of Gastroenterology, The University of Toledo, Toledo, OH, USA.

Department of Internal Medicine, The University of Toledo, Toledo, OH, USA.

出版信息

J Clin Med Res. 2023 Jul;15(7):343-359. doi: 10.14740/jocmr4951. Epub 2023 Jul 12.

DOI:10.14740/jocmr4951
PMID:37575350
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10416192/
Abstract

BACKGROUND

Protein induced by vitamin K absence or antagonist-II (PIVKA-II) and α-fetoprotein (AFP) are promising tumor markers for the diagnosis of hepatocellular carcinoma (HCC). Yet, their diagnostic performance differs throughout HCC investigations. The aim of this meta-analysis was to assess the effectiveness of PIVKA-II and AFP in the diagnosis of HCC.

METHODS

A systematic literature search was performed to identify relevant studies from eight databases, which were published up to February 2023, in order to compare the diagnostic performance of PIVKA-II and AFP for HCC. Pooled sensitivity and specificity were calculated. Summary receiver operating characteristic (SROC) curve was performed to assess the diagnostic accuracy of each biomarker.

RESULTS

Fifty-three studies were identified. The pooled sensitivity (95% confidence interval (CI)) of PIVKA-II and AFP was 0.71 (0.70 - 0.72) and 0.64 (0.63 - 0.65), respectively in diagnosis of HCC, and the corresponding pooled specificity (95% CI) was 0.90 (0.89 - 0.90) and 0.87 (0.87 - 0.88), respectively. The area under the ROC curve (AUC) of PIVKA-II and AFP was 0.89 (0.88 - 0.90) and 0.78 (0.77 - 0.79), respectively. Subgroup analysis demonstrated that PIVKA-II presented higher AUC values compared to AFP in terms of ethnic group (African, European, Asian, and American patients), etiology (mixed-type HCC, hepatitis C virus (HCV)-related, and hepatitis B virus (HBV)-related) and sample size of cases (≤ 100 and > 100).

CONCLUSION

This study reveals that PIVKA-II is a promising biomarker for identifying and tracking HCC, exhibiting greater accuracy than AFP. Our findings indicate that PIVKA-II outperforms AFP in detecting HCC across diverse racial groups and sample sizes, as well as in cases of HBV-related, HCV-related, or mixed-etiology HCC.

摘要

背景

维生素K缺乏或拮抗剂-II诱导蛋白(PIVKA-II)和甲胎蛋白(AFP)是用于诊断肝细胞癌(HCC)的有前景的肿瘤标志物。然而,在整个HCC研究中,它们的诊断性能有所不同。本荟萃分析的目的是评估PIVKA-II和AFP在HCC诊断中的有效性。

方法

进行系统的文献检索,以识别截至2023年2月发表的来自八个数据库的相关研究,以便比较PIVKA-II和AFP对HCC的诊断性能。计算合并敏感性和特异性。绘制汇总的受试者工作特征(SROC)曲线以评估每个生物标志物的诊断准确性。

结果

共识别出53项研究。在HCC诊断中,PIVKA-II和AFP的合并敏感性(95%置信区间(CI))分别为0.71(0.70 - 0.72)和0.64(0.63 - 0.65),相应的合并特异性(95%CI)分别为0.90(0.89 - 0.90)和0.87(0.87 - 0.88)。PIVKA-II和AFP的ROC曲线下面积(AUC)分别为0.89(0.88 - 0.90)和0.78(0.77 - 0.79)。亚组分析表明,在种族(非洲、欧洲、亚洲和美国患者)、病因(混合型HCC、丙型肝炎病毒(HCV)相关和乙型肝炎病毒(HBV)相关)以及病例样本量(≤100和>100)方面,PIVKA-II的AUC值高于AFP。

结论

本研究表明,PIVKA-II是用于识别和追踪HCC的有前景的生物标志物,其准确性高于AFP。我们的研究结果表明,在检测不同种族群体和样本量的HCC以及HBV相关、HCV相关或混合型病因的HCC病例中,PIVKA-II优于AFP。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521a/10416192/5466dca214f7/jocmr-15-343-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521a/10416192/9da38a885646/jocmr-15-343-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521a/10416192/a853618f85e6/jocmr-15-343-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521a/10416192/c55271596c60/jocmr-15-343-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521a/10416192/d275c20e0c5e/jocmr-15-343-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521a/10416192/2caf9a1a9622/jocmr-15-343-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521a/10416192/5466dca214f7/jocmr-15-343-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521a/10416192/9da38a885646/jocmr-15-343-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521a/10416192/a853618f85e6/jocmr-15-343-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521a/10416192/c55271596c60/jocmr-15-343-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521a/10416192/d275c20e0c5e/jocmr-15-343-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521a/10416192/2caf9a1a9622/jocmr-15-343-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521a/10416192/5466dca214f7/jocmr-15-343-g006.jpg

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