Literature DB >> 31330238

Diagnostic significance assessment of the circulating cell-free DNA in ovarian cancer: An updated meta-analysis.

Boxuan Li1, Ke Pu2, Long Ge3, Xinan Wu4.   

Abstract

BACKGROUND: Recently, disagreements remain in increasing evidence about the potential value of circulating cell-free DNA (cfDNA) as a noninvasive diagnostic biomarker for ovarian cancer (OC). Here, this update meta-analysis was performed to further assess the diagnostic performance of circulating cfDNA in discriminating OC from non-cancerous individuals.
METHODS: We performed a systemic literature search of PubMed, Embase, Web of Science, Cochrane Library, OVID, Chinese National Knowledge Infrastructure (CNKI) and Wanfang databases to obtain 22 eligible articles including a total of 1125 patients and 1244 controls. The pooled sensitivity, specificity, diagnostic odds ratio (DOR) and area under receiver operating characteristics curves (AUROC) of the included studies for cfDNA in diagnosing OC patients were used to estimate the diagnostic value. The clinical utility of cfDNA was evaluated by Fagan nomogram. Heterogeneity was explored utilizing subgroup analysis and meta-regression.
RESULTS: The pooled sensitivity and specificity were 73% and 90%, the DOR and AUROC were 25.29 and 0.90, respectively. Subgroup analyses and meta-regression, according to patients' region, study design, clinical stage, specimen types, detection indicators, simple size, publication year revealed there were no significant sources of heterogeneity. Additionally, subgroup analyses showed qualitative detection (methylation detection); TNM stage I-IV, publication year 2011-2018, serum-based cfDNA assays exhibited better diagnostic performance as compared to quantitative detection, TNM stage III-IV, publication year 2002-2010; plasma-based cfDNA assays, and more participants and prospective studies manifested superior diagnostic accuracy. The result of sensitivity analysis indicated no study exclusively contributed to the heterogeneity and Deeks' funnel plot suggested no evidence of significant publication bias.
CONCLUSIONS: Our meta-analysis found the qualitative detection (methylation); TNM stage I-IV, publication year 2011-2018 were related to more effective diagnostic accuracy for OC. However, serum-based cell-free DNA detection should be cautiously interpreted due to unclear factors. Hence, further large-scale longitudinal studies are required to validate the diagnostic potential of cell-free DNA. The present study provides to accrue knowledge of cell-free DNA levels for future researches.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Circulating cell-free DNA; Diagnostic value; Meta-analysis; Ovarian cancer

Mesh:

Substances:

Year:  2019        PMID: 31330238     DOI: 10.1016/j.gene.2019.143993

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  7 in total

1.  Targeted Sequencing of Circulating Cell Free DNA Can Be Used to Monitor Therapeutic Efficacy of Tyrosine Kinase Inhibitors in Non-small Cell Lung Cancer Patients.

Authors:  Chiuan-Chian Chiou; Chih-Liang Wang; Ji-Dung Luo; Chien-Ying Liu; How-Wen Ko; Cheng-Ta Yang
Journal:  Cancer Genomics Proteomics       Date:  2020 Jul-Aug       Impact factor: 4.069

Review 2.  Current and Emerging Methods for Ovarian Cancer Screening and Diagnostics: A Comprehensive Review.

Authors:  Juliane M Liberto; Sheng-Yin Chen; Ie-Ming Shih; Tza-Huei Wang; Tian-Li Wang; Thomas R Pisanic
Journal:  Cancers (Basel)       Date:  2022-06-11       Impact factor: 6.575

Review 3.  Can Circulating Cell-Free DNA or Circulating Tumor DNA Be a Promising Marker in Ovarian Cancer?

Authors:  Ming Yu; Yu Zhu; Lichen Teng; Jialin Cui; Yajuan Su
Journal:  J Oncol       Date:  2021-04-12       Impact factor: 4.375

4.  The Prognostic Value of Circulating Tumor DNA in Ovarian Cancer: A Meta-Analysis.

Authors:  Yuanyuan Lu; Li Li
Journal:  Technol Cancer Res Treat       Date:  2021 Jan-Dec

Review 5.  Potential clinical utility of liquid biopsies in ovarian cancer.

Authors:  Jie Wei Zhu; Parsa Charkhchi; Mohammad R Akbari
Journal:  Mol Cancer       Date:  2022-05-11       Impact factor: 41.444

Review 6.  Molecular Biomarkers for the Early Detection of Ovarian Cancer.

Authors:  Ruiqian Zhang; Michelle K Y Siu; Hextan Y S Ngan; Karen K L Chan
Journal:  Int J Mol Sci       Date:  2022-10-10       Impact factor: 6.208

Review 7.  ESGO/ISUOG/IOTA/ESGE Consensus Statement on pre-operative diagnosis of ovarian tumors.

Authors:  Dirk Timmerman; François Planchamp; Tom Bourne; Chiara Landolfo; Andreas du Bois; Luis Chiva; David Cibula; Nicole Concin; Daniela Fischerova; Wouter Froyman; Guillermo Gallardo Madueño; Birthe Lemley; Annika Loft; Liliana Mereu; Philippe Morice; Denis Querleu; Antonia Carla Testa; Ignace Vergote; Vincent Vandecaveye; Giovanni Scambia; Christina Fotopoulou
Journal:  Int J Gynecol Cancer       Date:  2021-06-10       Impact factor: 3.437

  7 in total

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