Abstract

Background: Epidermal growth factor receptor (EGFR) mutation testing in plasma cell-free DNA (cfDNA) from advanced lung cancer patients is an emerging clinical tool. This meta-analysis was designed to determine the diagnostic accuracy of two common PCR systems, droplet digital PCR (ddPCR) and amplification refractory mutation system PCR (ARMS-PCR), for detecting EGFR mutation in cfDNA.Materials and methods: A systematic search was carried out based on PubMed, Web of science, Embase and the Cochrane library. Data from eligible studies were extracted and pooled to calculate the sensitivity, specificity, diagnostic odds ratio (DOR), area under the summary receiver-operating characteristic curve (AUROC), using tissue biopsy results as the standard method. Subgroup analyses were performed regarding EGFR mutation type, tumor stage, and EGFR-TKI treatment.Results: Twenty-five studies involving 4,881 cases were included. The plasma testing sensitivity, specificity, DOR, and AUROC, compared with the matched tumor tissues, were 72.1%, 95.6%, 38.5, 0.89 for ddPCR, and 65.3%, 98.2%, 52.8, 0.71 for ARMS-PCR, respectively, through indirect comparison, significant differences were found in sensitivity (P = 0.003) and specificity (P = 0.007). Furthermore, significant difference was found in sensitivity between tumor stage subgroups (IIIB–IV subgroup vs. IA–IV subgroup) in ARMS-PCR (73.7 vs. 64.2%, P = 0.008), but not in ddPCR (72.5 vs. 71.2%, P = 0.756).Conclusions: This study demonstrates that ddPCR and ARMS-PCR have a high specificity with a practical sensitivity for detecting EGFR mutation in cfDNA, which supports their application as a supplement or a conditional-alternative to tissue biopsy in clinical practice for genotyping. It seems that ddPCR has a higher sensitivity than ARMS-PCR, especially in early stages.

Highlights

  • Lung cancer remains the most frequently diagnosed cancer and the leading cause of cancer-related mortality worldwide, with 85% of patients having non-small-cell lung cancer (NSCLC) [1,2,3]

  • Are sufficiently accurate to be considered a supplement or even alternative to tissue genotyping. This meta-analysis was conducted to assess the diagnostic accuracy of droplet digital PCR (ddPCR) system and ARMS-PCR system for detecting epidermal growth factor receptor (EGFR) mutation in cell-free DNA (cfDNA)

  • In this meta-analysis, using tissue test as reference, we found that both ddPCR and ARMS-PCR had high diagnostic accuracy when testing in plasma cfDNA

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Summary

Introduction

Lung cancer remains the most frequently diagnosed cancer and the leading cause of cancer-related mortality worldwide, with 85% of patients having non-small-cell lung cancer (NSCLC) [1,2,3]. Accurate gene analysis of epidermal growth factor receptor (EGFR) mutation in advanced NSCLC patients has provided them great opportunities to receive optimal treatments. Detection of EGFR mutation status in tumor tissue is the standard approach, which can be obtained by tissue biopsy or surgery [6]. Tissue biopsy-related complications are common, such as pneumothorax and hemoptysis [7]. Epidermal growth factor receptor (EGFR) mutation testing in plasma cell-free DNA (cfDNA) from advanced lung cancer patients is an emerging clinical tool. This meta-analysis was designed to determine the diagnostic accuracy of two common PCR systems, droplet digital PCR (ddPCR) and amplification refractory mutation system PCR (ARMS-PCR), for detecting EGFR mutation in cfDNA

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