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Published on: September 25, 2018
KRAS Mutations in Circulating Tumor DNA for Lung Cancer Diagnosis: A Comprehensive Meta-Analysis
Karolina Buszka1,2, Łukasz Gąsiorowski3, Claudia Dompe2,4
1Department of Histology and Embryology, Poznan University of Medical Sciences, 60-781 Poznan, Poland.
Detecting KRAS mutations in circulating tumor DNA (ctDNA) shows high specificity but moderate sensitivity for lung cancer diagnosis. This minimally invasive liquid biopsy approach can complement tissue biopsies for personalized treatment decisions.
Area of Science:
- Oncology
- Molecular Diagnostics
- Genetics
Background:
- KRAS gene mutations are critical drivers in lung cancer development and progression.
- Circulating tumor DNA (ctDNA) detection offers a minimally invasive method for identifying these mutations.
- Existing studies report variable accuracy for ctDNA-based KRAS mutation detection.
Purpose of the Study:
- To systematically review and meta-analyze the diagnostic accuracy of ctDNA-based KRAS mutation detection in lung cancer.
- To provide pooled estimates of sensitivity, specificity, and likelihood ratios for this diagnostic approach.
Main Methods:
- Systematic review and meta-analysis following PRISMA-DTA guidelines.
- Inclusion of studies evaluating KRAS mutations in ctDNA from plasma or serum for lung cancer diagnosis.
- Calculation of pooled sensitivity, specificity, and likelihood ratios using aggregated 2x2 contingency tables and a bivariate random-effects model.
Main Results:
- Nine study arms with 691 patients were included.
- Pooled sensitivity was 65.2% and pooled specificity was 93.7%.
- The diagnostic odds ratio was 28.0, indicating strong rule-in capability, with moderate heterogeneity in sensitivity and minimal heterogeneity in specificity.
Conclusions:
- ctDNA-based KRAS mutation detection exhibits high specificity and moderate sensitivity for lung cancer diagnosis.
- A KRAS liquid biopsy can serve as a valuable complementary tool, especially when tissue biopsy is challenging.
- This approach supports personalized treatment decisions as technology advances.
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