Diagnosis of hepatocellular carcinoma using liquid biopsy-based biomarkers: a systematic review and network meta-analysis
IntroductionThe diagnostic performance of liquid biopsy-based biomarkers for HCC was comprehensively compared in this network meta-analysis (NMA).MethodsA thorough literature search was conducted to identify all comparative studies from January 1, 2000, to January 11, 2024. The QUADAS-2 tool was uti...
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2024.1483521/full |
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| author | Yutong Jiang Yutong Jiang Shangwen Qi Shangwen Qi Rongrong Zhang Rongrong Zhang Ruixia Zhao Yu Fu Yuxuan Fang Yuxuan Fang Mingyi Shao |
| author_facet | Yutong Jiang Yutong Jiang Shangwen Qi Shangwen Qi Rongrong Zhang Rongrong Zhang Ruixia Zhao Yu Fu Yuxuan Fang Yuxuan Fang Mingyi Shao |
| author_sort | Yutong Jiang |
| collection | DOAJ |
| description | IntroductionThe diagnostic performance of liquid biopsy-based biomarkers for HCC was comprehensively compared in this network meta-analysis (NMA).MethodsA thorough literature search was conducted to identify all comparative studies from January 1, 2000, to January 11, 2024. The QUADAS-2 tool was utilized to appraise the quality of studies involving diagnostic performance. R (v4.3.3) and an ANOVA model-based NMA were used to assess the diagnostic accuracy of each biomarker.ResultsThis study included 82 studies comprising a total of 15,024 patients.CircRNA demonstrated significantly superior performance in distinguishing HCC from healthy populations (superiority index: 3.550 (95% CI [0.143-3])) compared to other diagnostic biomarkers for HCC. “mRNA exhibited significantly superior performance in distinguishing HCC from liver disease patients (superiority index:10.621 (95% CI [7-11])) compared to other diagnostic biomarkers for HCC. Further subgroup analysis of the top-ranking liquid biopsy-based diagnostic biomarkers revealed that hsa_circ_000224 (superiority index: 3.091 (95% CI[0.143-9]) ranked remarkably higher in distinguishing HCC from both healthy populations and liver disease patients. Subgroup analysis of mRNA demonstrated that KIAA0101 mRNA (superiority index: 2.434 (95% CI [0.2-5]) ranked remarkably higher in distinguishing HCC from healthy populations and liver disease patients, respectively.DiscussionThe results of this meta-analysis show that circRNA and mRNA are the first choice for HCC diagnosis. Subsequent analysis of circRNA and mRNA highlighted hsa_circ_000224, hsa_circ_0003998, KIAA0101 mRNA and GPC-3mRNA as the optimal diagnostic biomarkers for distinguishing HCC from healthy populations and liver disease patients, respectively. Well-structured prospective studies are crucial to comprehensively validate these findings.Systematic Review Registrationhttps://www.crd.york.ac.uk/PROSPERO/,identifier CRD42024521299. |
| format | Article |
| id | doaj-art-c4cdd8c7ada44f6daec92611e6b32ed3 |
| institution | Kabale University |
| issn | 2234-943X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Oncology |
| spelling | doaj-art-c4cdd8c7ada44f6daec92611e6b32ed32025-01-28T05:10:37ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2025-01-011410.3389/fonc.2024.14835211483521Diagnosis of hepatocellular carcinoma using liquid biopsy-based biomarkers: a systematic review and network meta-analysisYutong Jiang0Yutong Jiang1Shangwen Qi2Shangwen Qi3Rongrong Zhang4Rongrong Zhang5Ruixia Zhao6Yu Fu7Yuxuan Fang8Yuxuan Fang9Mingyi Shao10The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, ChinaThe First Clinical Medical College of Henan University of Chinese Medicine, Zhengzhou, ChinaThe First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, ChinaThe First Clinical Medical College of Henan University of Chinese Medicine, Zhengzhou, ChinaThe First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, ChinaThe First Clinical Medical College of Henan University of Chinese Medicine, Zhengzhou, ChinaThe First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, ChinaThe First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, ChinaThe First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, ChinaThe First Clinical Medical College of Henan University of Chinese Medicine, Zhengzhou, ChinaThe First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, ChinaIntroductionThe diagnostic performance of liquid biopsy-based biomarkers for HCC was comprehensively compared in this network meta-analysis (NMA).MethodsA thorough literature search was conducted to identify all comparative studies from January 1, 2000, to January 11, 2024. The QUADAS-2 tool was utilized to appraise the quality of studies involving diagnostic performance. R (v4.3.3) and an ANOVA model-based NMA were used to assess the diagnostic accuracy of each biomarker.ResultsThis study included 82 studies comprising a total of 15,024 patients.CircRNA demonstrated significantly superior performance in distinguishing HCC from healthy populations (superiority index: 3.550 (95% CI [0.143-3])) compared to other diagnostic biomarkers for HCC. “mRNA exhibited significantly superior performance in distinguishing HCC from liver disease patients (superiority index:10.621 (95% CI [7-11])) compared to other diagnostic biomarkers for HCC. Further subgroup analysis of the top-ranking liquid biopsy-based diagnostic biomarkers revealed that hsa_circ_000224 (superiority index: 3.091 (95% CI[0.143-9]) ranked remarkably higher in distinguishing HCC from both healthy populations and liver disease patients. Subgroup analysis of mRNA demonstrated that KIAA0101 mRNA (superiority index: 2.434 (95% CI [0.2-5]) ranked remarkably higher in distinguishing HCC from healthy populations and liver disease patients, respectively.DiscussionThe results of this meta-analysis show that circRNA and mRNA are the first choice for HCC diagnosis. Subsequent analysis of circRNA and mRNA highlighted hsa_circ_000224, hsa_circ_0003998, KIAA0101 mRNA and GPC-3mRNA as the optimal diagnostic biomarkers for distinguishing HCC from healthy populations and liver disease patients, respectively. Well-structured prospective studies are crucial to comprehensively validate these findings.Systematic Review Registrationhttps://www.crd.york.ac.uk/PROSPERO/,identifier CRD42024521299.https://www.frontiersin.org/articles/10.3389/fonc.2024.1483521/fullhepatocellular carcinomaliquid biopsydiagnostic biomarkersnetwork meta-analysisliver disease |
| spellingShingle | Yutong Jiang Yutong Jiang Shangwen Qi Shangwen Qi Rongrong Zhang Rongrong Zhang Ruixia Zhao Yu Fu Yuxuan Fang Yuxuan Fang Mingyi Shao Diagnosis of hepatocellular carcinoma using liquid biopsy-based biomarkers: a systematic review and network meta-analysis Frontiers in Oncology hepatocellular carcinoma liquid biopsy diagnostic biomarkers network meta-analysis liver disease |
| title | Diagnosis of hepatocellular carcinoma using liquid biopsy-based biomarkers: a systematic review and network meta-analysis |
| title_full | Diagnosis of hepatocellular carcinoma using liquid biopsy-based biomarkers: a systematic review and network meta-analysis |
| title_fullStr | Diagnosis of hepatocellular carcinoma using liquid biopsy-based biomarkers: a systematic review and network meta-analysis |
| title_full_unstemmed | Diagnosis of hepatocellular carcinoma using liquid biopsy-based biomarkers: a systematic review and network meta-analysis |
| title_short | Diagnosis of hepatocellular carcinoma using liquid biopsy-based biomarkers: a systematic review and network meta-analysis |
| title_sort | diagnosis of hepatocellular carcinoma using liquid biopsy based biomarkers a systematic review and network meta analysis |
| topic | hepatocellular carcinoma liquid biopsy diagnostic biomarkers network meta-analysis liver disease |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2024.1483521/full |
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