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Using circulating tumor DNA as a novel biomarker to screen and diagnose hepatocellular carcinoma: A systematic review and meta‐analysis

PURPOSE: A meta‐analysis was formulated to appraise the diagnostic accuracy of circulating tumor DNA (ctDNA) in hepatocellular carcinoma (HCC). MATERIALS AND METHODS: We enrolled all relevant studies published until September 2019. Four primary subgroups were investigated: the subgroup of quantitati...

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Autores principales: Zhang, Ziying, Chen, Peng, Xie, Hui, Cao, Peiguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7013058/
https://www.ncbi.nlm.nih.gov/pubmed/31876977
http://dx.doi.org/10.1002/cam4.2799
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author Zhang, Ziying
Chen, Peng
Xie, Hui
Cao, Peiguo
author_facet Zhang, Ziying
Chen, Peng
Xie, Hui
Cao, Peiguo
author_sort Zhang, Ziying
collection PubMed
description PURPOSE: A meta‐analysis was formulated to appraise the diagnostic accuracy of circulating tumor DNA (ctDNA) in hepatocellular carcinoma (HCC). MATERIALS AND METHODS: We enrolled all relevant studies published until September 2019. Four primary subgroups were investigated: the subgroup of quantitative or qualitative analysis of ctDNA, the subgroup of Ras association domain family 1 isoform A (RASSF1A) methylation in ctDNA and the subgroup of the combined alpha‐fetoprotein (AFP) and ctDNA assay. We analyzed the pooled sensitivity (SEN), specificity (SPE), positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and summary receiver operating characteristic (SROC) as well as the area under the curve (AUC). RESULTS: A total of 33 qualified articles with 4113 subjects were incorporated into our meta‐analysis. The combined SEN, SPE, and DOR in quantitative studies were 0.722 (95% confidence interval (95% CI): 0.686‐0.756), 0.823 (95% CI: 0.789‐0.854), 18.532 (95% CI: 8.245‐41.657), respectively, yielding an AUC of 0.880. For qualitative studies, the corresponding value was 0.568 (95% CI: 0.548‐0.587), 0.882 (95% CI: 0.867‐0.897), 10.457 (95% CI: 7.270‐15.040) and 0.787, respectively. Detection of RASSF1A methylation yielded an AUC of 0.841, with a SEN of 0.644 (95% CI: 0.608‐0.678) and a SPE of 0.875 (95% CI: 0.847‐0.900). AFP combined with ctDNA assay achieved an AUC of 0.944, with a SEN of 0.760 (95% CI: 0.728‐00.790) and a SPE of 0.920 (95% CI: 0.893‐00.942). CONCLUSION: Circulating tumor DNA displays a promising diagnostic potential in HCC. However, it is not independently sufficient and can serve as an assistant tool combined with AFP for HCC screening and detection.
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spelling pubmed-70130582020-02-19 Using circulating tumor DNA as a novel biomarker to screen and diagnose hepatocellular carcinoma: A systematic review and meta‐analysis Zhang, Ziying Chen, Peng Xie, Hui Cao, Peiguo Cancer Med Clinical Cancer Research PURPOSE: A meta‐analysis was formulated to appraise the diagnostic accuracy of circulating tumor DNA (ctDNA) in hepatocellular carcinoma (HCC). MATERIALS AND METHODS: We enrolled all relevant studies published until September 2019. Four primary subgroups were investigated: the subgroup of quantitative or qualitative analysis of ctDNA, the subgroup of Ras association domain family 1 isoform A (RASSF1A) methylation in ctDNA and the subgroup of the combined alpha‐fetoprotein (AFP) and ctDNA assay. We analyzed the pooled sensitivity (SEN), specificity (SPE), positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and summary receiver operating characteristic (SROC) as well as the area under the curve (AUC). RESULTS: A total of 33 qualified articles with 4113 subjects were incorporated into our meta‐analysis. The combined SEN, SPE, and DOR in quantitative studies were 0.722 (95% confidence interval (95% CI): 0.686‐0.756), 0.823 (95% CI: 0.789‐0.854), 18.532 (95% CI: 8.245‐41.657), respectively, yielding an AUC of 0.880. For qualitative studies, the corresponding value was 0.568 (95% CI: 0.548‐0.587), 0.882 (95% CI: 0.867‐0.897), 10.457 (95% CI: 7.270‐15.040) and 0.787, respectively. Detection of RASSF1A methylation yielded an AUC of 0.841, with a SEN of 0.644 (95% CI: 0.608‐0.678) and a SPE of 0.875 (95% CI: 0.847‐0.900). AFP combined with ctDNA assay achieved an AUC of 0.944, with a SEN of 0.760 (95% CI: 0.728‐00.790) and a SPE of 0.920 (95% CI: 0.893‐00.942). CONCLUSION: Circulating tumor DNA displays a promising diagnostic potential in HCC. However, it is not independently sufficient and can serve as an assistant tool combined with AFP for HCC screening and detection. John Wiley and Sons Inc. 2019-12-26 /pmc/articles/PMC7013058/ /pubmed/31876977 http://dx.doi.org/10.1002/cam4.2799 Text en © 2019 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Cancer Research
Zhang, Ziying
Chen, Peng
Xie, Hui
Cao, Peiguo
Using circulating tumor DNA as a novel biomarker to screen and diagnose hepatocellular carcinoma: A systematic review and meta‐analysis
title Using circulating tumor DNA as a novel biomarker to screen and diagnose hepatocellular carcinoma: A systematic review and meta‐analysis
title_full Using circulating tumor DNA as a novel biomarker to screen and diagnose hepatocellular carcinoma: A systematic review and meta‐analysis
title_fullStr Using circulating tumor DNA as a novel biomarker to screen and diagnose hepatocellular carcinoma: A systematic review and meta‐analysis
title_full_unstemmed Using circulating tumor DNA as a novel biomarker to screen and diagnose hepatocellular carcinoma: A systematic review and meta‐analysis
title_short Using circulating tumor DNA as a novel biomarker to screen and diagnose hepatocellular carcinoma: A systematic review and meta‐analysis
title_sort using circulating tumor dna as a novel biomarker to screen and diagnose hepatocellular carcinoma: a systematic review and meta‐analysis
topic Clinical Cancer Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7013058/
https://www.ncbi.nlm.nih.gov/pubmed/31876977
http://dx.doi.org/10.1002/cam4.2799
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