High-Resolution Melting Analysis for accurate detection of BRAF mutations: a systematic review and meta-analysis
| Autor: | Kai Liu, Weiling Fu, Qian Liu, Zheng-Ran Chuai, Yan-Yan Wang, Jun-Fu Huang, Zhao Yang, Liqun Zhang, Qing Huang, Yunxia Wang, Dong Chen, Da-Chuan Shi |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Proto-Oncogene Proteins B-raf
Oncology medicine.medical_specialty Polymorphism Genetic Multidisciplinary Receiver operating characteristic Biology Bioinformatics Likelihood ratios in diagnostic testing Article High Resolution Melt Confidence interval Melting curve analysis Clinical Practice ROC Curve Meta-analysis Internal medicine Mutation medicine Diagnostic odds ratio Humans Transition Temperature |
| Zdroj: | Scientific Reports |
| ISSN: | 2045-2322 |
| DOI: | 10.1038/srep04168 |
| Popis: | The high-resolution melting curve analysis (HRMA) might be a good alternative method for rapid detection of BRAF mutations. However, the accuracy of HRMA in detection of BRAF mutations has not been systematically evaluated. We performed a systematic review and meta-analysis involving 1324 samples from 14 separate studies. The overall sensitivity of HRMA was 0.99 (95% confidence interval (CI) = 0.75-0.82), and the overall specificity was very high at 0.99 (95% CI = 0.94-0.98). The values for the pooled positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were 68.01 (95% CI = 25.33-182.64), 0.06 (95% CI = 0.03-0.11), and 1263.76 (95% CI = 393.91-4064.39), respectively. The summary receiver operating characteristic curve for the same data shows an area of 1.00 and a Q* value of 0.97. The high sensitivity and specificity, simplicity, low cost, less labor or time and rapid turnaround make HRMA a good alternative method for rapid detection of BRAF mutations in the clinical practice. |
| Databáze: | OpenAIRE |
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