Detection of Circulating Cell-Free DNA to Diagnose Hepatocellular Carcinoma in Chinese Population: A Systematic Review and Meta-Analysis

Author:

Aalami Amir Hossein12,Sahebkar Amirhossein3,Aalami Farnoosh4,Aliabadi Ehsan Kargar5,Amirabadi Amir6

Affiliation:

1. Department of Nutrition and Integrative Physiology, College of Health, University of Utah, Salt Lake City, UT, USA

2. Division of Nephrology and Hypertension, Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA

3. Applied Biomedical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran

4. Student Research Committee, Faculty of Medicine, North Khorasan University of Medical Sciences, Bojnurd, Iran

5. Department of Chemistry, Faculty of Science, Ferdowsi University of Mashhad, Mashhad, Iran

6. Department of Internal Medicine, Faculty of Medicine, Mashhad Medical Sciences, Islamic Azad University, Mashhad, Iran

Abstract

Background: Cell-free circulating DNA has been known for many years, but this knowledge has not been beneficial for diagnosis. In this meta-analysis, we examine the diagnostic role of circulating cell-free DNA in HCC patients to find a reliable biomarker for the early detection of HCC. Materials and Methods: We performed a systematic literature search using Science Direct, Web of Science, PubMed/Medline, Scopus, Google Scholar, and Embase, up to April 1st, 2022. Meta-Disc V.1.4 and Comprehensive Meta-Analysis V.3.3 software calculated the pooled specificity, sensitivity, area under the curve (AUC), diagnostic odds ratio (DOR), positive likelihood ratio (PLR), negative likelihood ratio (NLR) Q*index, and summary receiver-operating characteristic (SROC) for the role of cfDNA as a biomarker for HCC patients. Moreover, the subgroup analyses have been performed based on sample types (serum/plasma) and detection methods (MS-PCR/methylation). Results: A total of 7 articles (9 studies) included 697 participants (485 cases and 212 controls). The overall pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the curve (AUC) were 0.706 (95% CI: 0.671 – 0.739), 0.905 (95% CI: 0.865 – 0.937), 6.66 (95% CI: 4.36 – 10.18), 0.287 (95% CI: 0.185 – 0.445), 28.40 (95% CI: 13.01 – 62.0), and 0.93, respectively. We conducted a subgroup analysis of diagnostic value, which showed that the plasma sample had a better diagnostic value compared to the serum. Conclusion: This meta‐analysis showed that cfDNA could be a fair biomarker for diagnosing HCC patients.

Publisher

Bentham Science Publishers Ltd.

Subject

Pharmacology,Molecular Medicine,Drug Discovery,Biochemistry,Organic Chemistry

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