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Performance evaluation comparison of 3 commercially available PCR-based KRAS mutation testing platforms.

Julia A Adams1, Kristin M Post, Sarah A Bilbo

  • 1Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN.

Applied Immunohistochemistry & Molecular Morphology : AIMM
|March 12, 2014
PubMed
Summary

This study compared three polymerase chain reaction (PCR)-based tests for KRAS mutation detection. Qiagen therascreen RGQ and Qiagen KRAS Pyro demonstrated superior sensitivity and accuracy compared to Applied Biosystems for KRAS mutation testing.

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Area of Science:

  • Oncology
  • Molecular Diagnostics
  • Genetics

Background:

  • KRAS mutations are critical biomarkers in colonic adenocarcinoma and non-small cell lung carcinoma.
  • Identifying KRAS mutations is essential for contraindicating epidermal growth factor receptor-targeted therapies.
  • Several PCR-based tests exist for KRAS mutation analysis, but direct comparisons are limited.

Purpose of the Study:

  • To evaluate and compare the performance characteristics and workflow of three commercially available PCR-based KRAS mutation detection platforms.
  • To provide a side-by-side analysis of different KRAS testing methods.

Main Methods:

  • Performance evaluation of three PCR-based KRAS mutation detection platforms: Applied Biosystems KRAS Mutation Analysis, Qiagen therascreen KRAS RGQ PCR, and Qiagen KRAS Pyro.
  • Analysis of 188 patient samples for KRAS mutation status.
  • Comparison of sensitivity, specificity, positive predictive value, negative predictive value, and accuracy.

Main Results:

  • All 188 samples were successfully analyzed, with 29% testing positive for KRAS mutations.
  • Qiagen therascreen RGQ and Qiagen KRAS Pyro detected 100% of positive cases, while Applied Biosystems detected 84%.
  • Qiagen therascreen RGQ and Pyro showed 100% sensitivity, specificity, and accuracy, outperforming Applied Biosystems.

Conclusions:

  • Qiagen therascreen RGQ and Qiagen KRAS Pyro are highly comparable and accurate for KRAS mutation detection.
  • Applied Biosystems KRAS Mutation Analysis exhibits slightly lower sensitivity, negative predictive value, and accuracy.
  • All three methods accurately identified mutations in control specimens, but Qiagen platforms offer superior performance.