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Diagnostic Accuracy of PIK3CA Mutation Detection by Circulating Free DNA in Breast Cancer: A Meta-Analysis of Diagnostic Test Accuracy
- Source :
- PLoS ONE, Vol 11, Iss 6, p e0158143 (2016), PLoS ONE
- Publication Year :
- 2016
- Publisher :
- Public Library of Science (PLoS), 2016.
-
Abstract
- Mutation of p110 alpha-catalytic subunit of phosphatidylinositol 3-kinase (PIK3CA) has high predictive and prognostic values for breast cancer. Hence, there has been a marked interest in detecting and monitoring PIK3CA genotype with non-invasive technique, such as circulating free DNA (cfDNA). However, the diagnostic accuracy of PIK3CA genotyping by cfDNA is still a problem of controversy. Here, we conducted the first meta-analysis to evaluate overall diagnostic performance of cfDNA for PIK3CA mutation detection. Literature search was performed in Pubmed, Embase and Cochrane Central Register of Controlled Trials databases. Seven cohorts from five studies with 247 patients were included. The pooled sensitivity, specificity, positive and negative likelihood ratio, diagnostic odds ratio and area under summary receiver operating characteristic curve were calculated for accuracy evaluation. The pooled sensitivity and specificity were 0.86 (95% confidence interval [CI] 0.32–0.99) and 0.98 (95% CI 0.86–1.00), respectively; the pooled positive and negative likelihood ratio were 42.8 (95% CI 5.1–356.9) and 0.14 (95% CI 0.02–1.34), respectively; diagnostic odds ratio for evaluating the overall diagnostic performance was 300 (95% CI 8–11867); area under summary receiver operating characteristic curve reached 0.99 (95% CI 0.97–0.99). Subgroup analysis with metastatic breast cancer revealed remarkable improvement in diagnostic performance (sensitivity: 0.86–0.91; specificity: 0.98; diagnostic odds ratio: 300–428). This meta-analysis proved that detecting PIK3CA gene mutation by cfDNA has high diagnostic accuracy in breast cancer, especially for metastatic breast cancer. It may serve as a reliable non-invasive assay for detecting and monitoring PIK3CA mutation status in order to deliver personalized and precise treatment.
- Subjects :
- 0301 basic medicine
Oncology
DNA Mutational Analysis
Gene Identification and Analysis
Cancer Treatment
lcsh:Medicine
Artificial Gene Amplification and Extension
Bioinformatics
Pathology and Laboratory Medicine
Polymerase Chain Reaction
Database and Informatics Methods
Phosphatidylinositol 3-Kinases
0302 clinical medicine
Mathematical and Statistical Techniques
Breast Tumors
Medicine and Health Sciences
Database Searching
lcsh:Science
Multidisciplinary
DNA, Neoplasm
Metastatic breast cancer
030220 oncology & carcinogenesis
Meta-analysis
Physical Sciences
Female
Databases, Nucleic Acid
Statistics (Mathematics)
Research Article
medicine.medical_specialty
Class I Phosphatidylinositol 3-Kinases
Subgroup analysis
Breast Neoplasms
Research and Analysis Methods
Sensitivity and Specificity
03 medical and health sciences
Genetic Heterogeneity
Breast cancer
Signs and Symptoms
Diagnostic Medicine
Internal medicine
Breast Cancer
medicine
Genetics
Cancer Detection and Diagnosis
Biomarkers, Tumor
Humans
Statistical Methods
Molecular Biology Techniques
Genotyping
Mutation Detection
Molecular Biology
Receiver operating characteristic
business.industry
lcsh:R
Biology and Life Sciences
Cancers and Neoplasms
Reproducibility of Results
medicine.disease
Confidence interval
030104 developmental biology
ROC Curve
Mutation
Diagnostic odds ratio
Lesions
lcsh:Q
business
Mathematics
Meta-Analysis
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 11
- Issue :
- 6
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....f40ce9c7789858280d0182e76aa5dec8