Diagnostic accuracy of high-resolution melting curve analysis for discrimination of oncology-associated EGFR mutations: a systematic review and meta-analysis

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Abstract
Objective: To investigate the diagnostic value of high-resolution melting (HRM) analysis for oncology-associated epidermal growth factor receptor ( EGFR) gene mutations. Methods: We systematically searched Embase, PubMed, and Web of Science for HRM and EGFR mutation detection studies published through September 2024. True and false positives and negatives were extracted to evaluate the diagnostic accuracy of HRM to detect EGFR mutations. The study was registered at INPLASY (INPLASY202490062). Results: Twenty-six articles were obtained from 416 references. The overall diagnostic sensitivity and specificity were high at 0.95 [95% confidence interval (CI), 0.94–0.96] and 0.99 (95% CI, 0.99–0.99), respectively. Other indicators, including the positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio, were 144.91 (95% CI: 69.07–304.04), 0.08 (95% CI: 0.04–0.13), and 2405.21 (95% CI: 1231.87–4696.13), respectively. The Q value of the summary receiver operating characteristic curve was 0.979, and the area under the curve was 0.997. Conclusion: As a pre-screening method, the high specificity, sensitivity, low cost, rapid turnaround, and simplicity of HRM make it a good alternative for clinical practice, but positive results must still be obtained for diagnostic confirmation. This study provides a transparent overview of relevant studies in design and conduct.
Funding Information
  • Self-Topic Fund of State Key Laboratory of Military Stomatology (2017ZB06)
  • Chongqing Science and Health Joint Project (2022MSXM042)
  • China National Funds for Distinguished Young Scientists (81702096)

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