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Meta-Analysis
. 2018 Sep 6;8(1):13379.
doi: 10.1038/s41598-018-30780-4.

The diagnostic accuracy of circulating tumor DNA for the detection of EGFR-T790M mutation in NSCLC: a systematic review and meta-analysis

Francesco Passiglia  1   2 , Sergio Rizzo  1 , Massimo Di Maio  3   4 , Antonio Galvano  1 , Giuseppe Badalamenti  1 , Angela Listì  1 , Leonardo Gulotta  2 , Marta Castiglia  1 , Fabio Fulfaro  1 , Viviana Bazan  1 , Antonio Russo  5
Affiliations
Meta-Analysis

The diagnostic accuracy of circulating tumor DNA for the detection of EGFR-T790M mutation in NSCLC: a systematic review and meta-analysis

Francesco Passiglia et al. Sci Rep. .

Erratum in

Abstract

This pooled analysis aims at evaluating the diagnostic accuracy of circulating tumor (ct) DNA for the detection of EGFR-T790M mutation in NSCLC patients who progressed after EGFR-TKIs. Data from all published studies, reporting both sensitivity and specificity of plasma-based EGFR-T790M mutation testing by ctDNA were collected by searching in PubMed, Cochrane Library, American Society of Clinical Oncology, European Society of Medical Oncology and World Conference of Lung Cancer meeting proceedings. A total of twenty-one studies, with 1639 patients, were eligible. The pooled sensitivity of ctDNA analysis was 0.67 (95% CI: 0.64-0.70) and the pooled specificity was 0.80 (95% CI: 0.77-0.83). The pooled positive predictive value (PPV) was 0.85 (95% CI: 0.82-0.87) and the pooled negative predictive value (NPV) was 0.60 (95% CI: 0.56-0.63). The positive likelihood ratio (PLR) and negative likelihood ratio (NLR) were 2.67 (95% CI: 1.86-3.82) and 0.46 (95% CI: 0.38-0.54), respectively. The pooled diagnostic odds ratio (DOR) was 7.27 (4.39-12.05) and the area under the curve (AUC) of the summary receiver operating characteristics (sROC) curve was 0.77. The ctDNA analysis represents a promising, non-invasive approach to detect and monitor the T790M mutation status in NSCLC patients. Development of standardized methodologies and clinical validation are recommended.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Flow-chart of Trials Selection.
Figure 2
Figure 2
Forest plots of sensitivity and specificity of ctDNA for the detection of EGFR-T790M mutation; *RT-PCR; **dPCR.
Figure 3
Figure 3
SROC curve of ctDNA for detection of EGFR-T790M mutation.
Figure 4
Figure 4
Forest plots of sensitivity and specificity of ctDNA for the detection of EGFR-T790M mutation according to the different diagnostic methods: (A) (RT-PCR); (B) (dPCR); (C) (NGS).
Figure 5
Figure 5
SROC curve of ctDNA for detection of EGFR-T790M mutation according to the different diagnostic methods: (A) (RT-PCR); (B) (dPCR); (C) (NGS).
Figure 6
Figure 6
Funnel plot of diagnostic odds ratio (DOR) for ctDNA detection of EGFR-T790M mutation. Each study is represented by one circle- the vertical line represents the pooled effect estimate.
Figure 7
Figure 7
Quality assessment of studies by QUADAS-2.
See this image and copyright information in PMC

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